[{"publication":"Nature Neuroscience","author":[{"full_name":"Vega Zuniga, Tomas A","last_name":"Vega Zuniga","first_name":"Tomas A","id":"2E7C4E78-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Sumser","full_name":"Sumser, Anton L","id":"3320A096-F248-11E8-B48F-1D18A9856A87","first_name":"Anton L","orcid":"0000-0002-4792-1881"},{"orcid":"0000-0003-2012-9947","id":"3C0C7BC6-F248-11E8-B48F-1D18A9856A87","first_name":"Olga","last_name":"Symonova","full_name":"Symonova, Olga"},{"full_name":"Koppensteiner, Peter","last_name":"Koppensteiner","id":"3B8B25A8-F248-11E8-B48F-1D18A9856A87","first_name":"Peter","orcid":"0000-0002-3509-1948"},{"first_name":"Florian","id":"A2EF226A-AF19-11E9-924C-0525E6697425","full_name":"Schmidt, Florian","last_name":"Schmidt"},{"orcid":"0000-0002-3937-1330","last_name":"Jösch","full_name":"Jösch, Maximilian A","first_name":"Maximilian A","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87"}],"scopus_import":"1","intvolume":"        28","isi":1,"ec_funded":1,"pmid":1,"acknowledgement":"We thank Y. Ben-Simon for generously making viral vectors for retrograde tracing available, as well as J. Watson and F. Marr for reagents. We also thank R. Shigemoto, W. Młynarski and members of the Neuroethology group for their comments on the manuscript and L. Burnett for her schematic drawings. This research was supported by the Scientific Service Units of ISTA through resources provided by Scientific Computing, the Preclinical Facility, the Lab Support Facility and the Imaging and Optics Facility, in particular F. Lange, M. Schunn and T. Asenov. This work was supported by European Research Council Starting Grant no. 756502 (M.J.) and European Research Council Consolidator Grant no. 101086580 (M.J.); and EMBO ALTF grant no. 1098-2017 (A.S.) and Human Frontiers Science Program grant no. LT000256/2018-L (A.S.). Open access funding provided by Institute of Science and Technology (IST Austria).","publication_identifier":{"issn":["1097-6256"],"eissn":["1546-1726"]},"oa":1,"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1038/s41593-025-01874-w"}],"publication_status":"published","date_created":"2025-02-23T23:01:58Z","department":[{"_id":"MaJö"},{"_id":"PreCl"}],"external_id":{"pmid":["39930095"],"isi":["001416866800001"]},"language":[{"iso":"eng"}],"corr_author":"1","volume":28,"quality_controlled":"1","article_number":"7278","license":"https://creativecommons.org/licenses/by/4.0/","abstract":[{"lang":"eng","text":"For accurate perception and motor control, an animal must distinguish between sensory experiences elicited by external stimuli and those elicited by its own actions. The diversity of behaviors and their complex influences on the senses make this distinction challenging. Here, we uncover an action–cue hub that coordinates motor commands with visual processing in the brain’s first visual relay. We show that the ventral lateral geniculate nucleus (vLGN) acts as a corollary discharge center, integrating visual translational optic flow signals with motor copies from saccades, locomotion and pupil dynamics. The vLGN relays these signals to correct action-specific visual distortions and to refine perception, as shown for the superior colliculus and in a depth-estimation task. Simultaneously, brain-wide vLGN projections drive corrective actions necessary for accurate visuomotor control. Our results reveal an extended corollary discharge architecture that refines early visual transformations and coordinates actions via a distributed hub-and-spoke network to enable visual perception during action."}],"acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"Bio"}],"date_published":"2025-03-01T00:00:00Z","project":[{"name":"Circuits of Visual Attention","call_identifier":"H2020","grant_number":"756502","_id":"2634E9D2-B435-11E9-9278-68D0E5697425"},{"grant_number":"101086580","_id":"bdaf81a8-d553-11ed-ba76-c95961984540","name":"Action Selection in the Midbrain: Neuromodulation of Visuomotor Senses"},{"name":"Connecting sensory with motor processing in the superior colliculus","_id":"264FEA02-B435-11E9-9278-68D0E5697425","grant_number":"ALTF 1098-2017"},{"name":"Neuronal networks of salience and spatial detection in the murine superior colliculus","grant_number":"LT000256","_id":"266D407A-B435-11E9-9278-68D0E5697425"}],"has_accepted_license":"1","date_updated":"2025-09-30T10:40:49Z","oa_version":"Published Version","year":"2025","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","status":"public","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"publisher":"Springer Nature","type":"journal_article","day":"01","article_type":"original","OA_type":"hybrid","doi":"10.1038/s41593-025-01874-w","OA_place":"publisher","_id":"19076","month":"03","title":"A thalamic hub-and-spoke network enables visual perception during action by coordinating visuomotor dynamics","article_processing_charge":"Yes (via OA deal)","related_material":{"record":[{"status":"public","relation":"research_data","id":"18579"}],"link":[{"relation":"press_release","url":"https://ista.ac.at/en/news/high-tech-video-optimization-in-our-brain/","description":"News on ISTA Website"}]},"citation":{"ama":"Vega Zuniga TA, Sumser AL, Symonova O, Koppensteiner P, Schmidt F, Jösch MA. A thalamic hub-and-spoke network enables visual perception during action by coordinating visuomotor dynamics. <i>Nature Neuroscience</i>. 2025;28. doi:<a href=\"https://doi.org/10.1038/s41593-025-01874-w\">10.1038/s41593-025-01874-w</a>","apa":"Vega Zuniga, T. A., Sumser, A. L., Symonova, O., Koppensteiner, P., Schmidt, F., &#38; Jösch, M. A. (2025). A thalamic hub-and-spoke network enables visual perception during action by coordinating visuomotor dynamics. <i>Nature Neuroscience</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41593-025-01874-w\">https://doi.org/10.1038/s41593-025-01874-w</a>","chicago":"Vega Zuniga, Tomas A, Anton L Sumser, Olga Symonova, Peter Koppensteiner, Florian Schmidt, and Maximilian A Jösch. “A Thalamic Hub-and-Spoke Network Enables Visual Perception during Action by Coordinating Visuomotor Dynamics.” <i>Nature Neuroscience</i>. Springer Nature, 2025. <a href=\"https://doi.org/10.1038/s41593-025-01874-w\">https://doi.org/10.1038/s41593-025-01874-w</a>.","ista":"Vega Zuniga TA, Sumser AL, Symonova O, Koppensteiner P, Schmidt F, Jösch MA. 2025. A thalamic hub-and-spoke network enables visual perception during action by coordinating visuomotor dynamics. Nature Neuroscience. 28, 7278.","short":"T.A. Vega Zuniga, A.L. Sumser, O. Symonova, P. Koppensteiner, F. Schmidt, M.A. Jösch, Nature Neuroscience 28 (2025).","mla":"Vega Zuniga, Tomas A., et al. “A Thalamic Hub-and-Spoke Network Enables Visual Perception during Action by Coordinating Visuomotor Dynamics.” <i>Nature Neuroscience</i>, vol. 28, 7278, Springer Nature, 2025, doi:<a href=\"https://doi.org/10.1038/s41593-025-01874-w\">10.1038/s41593-025-01874-w</a>.","ieee":"T. A. Vega Zuniga, A. L. Sumser, O. Symonova, P. Koppensteiner, F. Schmidt, and M. A. Jösch, “A thalamic hub-and-spoke network enables visual perception during action by coordinating visuomotor dynamics,” <i>Nature Neuroscience</i>, vol. 28. Springer Nature, 2025."}},{"_id":"18579","month":"12","title":"A thalamic hub-and-spoke network enables visual perception during action by coordinating visuomotor dynamics","article_processing_charge":"No","related_material":{"record":[{"id":"19076","relation":"used_in_publication","status":"public"}]},"citation":{"apa":"Vega Zuniga, T. A., Sumser, A. L., Symonova, O., Koppensteiner, P., Schmidt, F., &#38; Jösch, M. A. (2024). A thalamic hub-and-spoke network enables visual perception during action by coordinating visuomotor dynamics. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:18579\">https://doi.org/10.15479/AT:ISTA:18579</a>","ama":"Vega Zuniga TA, Sumser AL, Symonova O, Koppensteiner P, Schmidt F, Jösch MA. 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Burnett, P. Koppensteiner, O. Symonova, T. Masson, T.A. Vega Zuniga, X. Contreras, T. Rülicke, R. Shigemoto, G. Novarino, M.A. Jösch, (2024).","mla":"Burnett, Laura, et al. <i>Shared Behavioural Impairments in Visual Perception and Place Avoidance across Different Autism Models Are Driven by Periaqueductal Grey Hypoexcitability in Setd5 Haploinsufficient Mice</i>. Institute of Science and Technology Austria, 2024, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:15385\">10.15479/AT:ISTA:15385</a>.","ieee":"L. Burnett <i>et al.</i>, “Shared behavioural impairments in visual perception and place avoidance across different autism models are driven by periaqueductal grey hypoexcitability in Setd5 haploinsufficient mice.” Institute of Science and Technology Austria, 2024.","apa":"Burnett, L., Koppensteiner, P., Symonova, O., Masson, T., Vega Zuniga, T. A., Contreras, X., … Jösch, M. A. (2024). Shared behavioural impairments in visual perception and place avoidance across different autism models are driven by periaqueductal grey hypoexcitability in Setd5 haploinsufficient mice. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:15385\">https://doi.org/10.15479/AT:ISTA:15385</a>","ama":"Burnett L, Koppensteiner P, Symonova O, et al. Shared behavioural impairments in visual perception and place avoidance across different autism models are driven by periaqueductal grey hypoexcitability in Setd5 haploinsufficient mice. 2024. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:15385\">10.15479/AT:ISTA:15385</a>","ista":"Burnett L, Koppensteiner P, Symonova O, Masson T, Vega Zuniga TA, Contreras X, Rülicke T, Shigemoto R, Novarino G, Jösch MA. 2024. Shared behavioural impairments in visual perception and place avoidance across different autism models are driven by periaqueductal grey hypoexcitability in Setd5 haploinsufficient mice, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:15385\">10.15479/AT:ISTA:15385</a>.","chicago":"Burnett, Laura, Peter Koppensteiner, Olga Symonova, Tomas Masson, Tomas A Vega Zuniga, Ximena Contreras, Thomas Rülicke, Ryuichi Shigemoto, Gaia Novarino, and Maximilian A Jösch. “Shared Behavioural Impairments in Visual Perception and Place Avoidance across Different Autism Models Are Driven by Periaqueductal Grey Hypoexcitability in Setd5 Haploinsufficient Mice.” Institute of Science and Technology Austria, 2024. <a href=\"https://doi.org/10.15479/AT:ISTA:15385\">https://doi.org/10.15479/AT:ISTA:15385</a>."},"related_material":{"record":[{"id":"17142","relation":"used_in_publication","status":"public"}]},"ddc":["570"],"doi":"10.15479/AT:ISTA:15385","file":[{"checksum":"9205eb0876f0f08552dbad80d6884b4b","content_type":"application/zip","date_updated":"2024-05-15T06:09:17Z","file_name":"PatchClamp.zip","creator":"mjoesch","date_created":"2024-05-15T06:09:17Z","file_id":"15396","file_size":"1149617663","access_level":"open_access","relation":"main_file","success":1},{"relation":"main_file","access_level":"open_access","success":1,"date_updated":"2024-05-15T06:09:12Z","content_type":"application/zip","file_size":"564903112","file_id":"15397","date_created":"2024-05-15T06:09:12Z","file_name":"SiliconProbe.zip","creator":"mjoesch"},{"date_updated":"2024-05-15T06:09:14Z","checksum":"49a807bbab06b5fada38f532e2176e2e","content_type":"application/zip","file_size":"11685703","file_name":"WesternBlot.zip","creator":"mjoesch","file_id":"15398","date_created":"2024-05-15T06:09:14Z","access_level":"open_access","relation":"main_file","success":1},{"date_created":"2024-05-15T06:09:38Z","file_id":"15399","creator":"mjoesch","file_name":"Behaviour.zip","file_size":"1335626779","content_type":"application/zip","checksum":"beeeeaa43770090f3b291209ed6b0623","date_updated":"2024-05-15T06:09:38Z","success":1,"relation":"main_file","access_level":"open_access"},{"date_updated":"2024-05-16T09:08:20Z","checksum":"8862ad7719388304d1d19f8e7db8bb00","content_type":"text/plain","file_size":18841,"file_name":"Readme_Data.txt","creator":"mjoesch","file_id":"15400","date_created":"2024-05-16T09:08:20Z","access_level":"open_access","relation":"main_file","success":1}],"acknowledgement":"We thank Armel Nicolas, Bella Bruszel and Ewelina Dutkiewicz from the ISTA Mass Spectrometry Service (Lab Services Facilities) for all Proteomics work, including samples preparation, LC/MS data acquisition, searches and data evaluation. We thank Prof. Peter Jonas for his suggestion on the involvement of potassium channels and members of the Neuroethology group for their comments on the manuscript. Katalin Szigeti and Julie Murmann for experimental help. This research was supported by the Scientific Service Units of ISTA through resources provided by the Lab Support Facility, the Imaging and Optics Facility, the Machine Shop Unit and the Preclinical Facility, especially Freyja Langer and Michael Schunn. ","oa":1,"author":[{"orcid":"0000-0002-8937-410X","id":"3B717F68-F248-11E8-B48F-1D18A9856A87","first_name":"Laura","full_name":"Burnett, Laura","last_name":"Burnett"},{"full_name":"Koppensteiner, Peter","last_name":"Koppensteiner","id":"3B8B25A8-F248-11E8-B48F-1D18A9856A87","first_name":"Peter","orcid":"0000-0002-3509-1948"},{"id":"3C0C7BC6-F248-11E8-B48F-1D18A9856A87","first_name":"Olga","last_name":"Symonova","full_name":"Symonova, Olga","orcid":"0000-0003-2012-9947"},{"orcid":"0000-0002-2634-6283","first_name":"Tomas","id":"93ac43e8-8599-11eb-9b86-f6efb0a4c207","last_name":"Masson","full_name":"Masson, Tomas"},{"full_name":"Vega Zuniga, Tomas A","last_name":"Vega Zuniga","first_name":"Tomas A","id":"2E7C4E78-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Contreras","full_name":"Contreras, Ximena","id":"475990FE-F248-11E8-B48F-1D18A9856A87","first_name":"Ximena"},{"last_name":"Rülicke","full_name":"Rülicke, Thomas","first_name":"Thomas"},{"last_name":"Shigemoto","full_name":"Shigemoto, Ryuichi","id":"499F3ABC-F248-11E8-B48F-1D18A9856A87","first_name":"Ryuichi","orcid":"0000-0001-8761-9444"},{"full_name":"Novarino, Gaia","last_name":"Novarino","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","first_name":"Gaia","orcid":"0000-0002-7673-7178"},{"orcid":"0000-0002-3937-1330","full_name":"Jösch, Maximilian A","last_name":"Jösch","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","first_name":"Maximilian A"}],"file_date_updated":"2024-05-16T09:08:20Z","keyword":["ASD","periaqueductal gray","perception","behavior","potassium channels"],"license":"https://creativecommons.org/licenses/by-nc/4.0/","abstract":[{"lang":"eng","text":"Relevant information about the data can be found in the 'Readme_Data.txt' file. \r\nA previous version of the publication can be found on BioRxiv: https://www.biorxiv.org/content/10.1101/2022.10.11.511691v4\r\nand published in Plos Biology (2024)"}],"acknowledged_ssus":[{"_id":"PreCl"},{"_id":"M-Shop"},{"_id":"LifeSc"},{"_id":"Bio"}],"department":[{"_id":"MaJö"},{"_id":"PreCl"},{"_id":"SiHi"},{"_id":"RySh"},{"_id":"GaNo"}],"date_created":"2024-05-13T15:04:04Z","corr_author":"1"},{"APC_amount":"6081,83 EUR","publication_identifier":{"issn":["1544-9173"],"eissn":["1545-7885"]},"oa":1,"DOAJ_listed":"1","file":[{"content_type":"application/pdf","checksum":"496e1aa4fd5b92b7e4087ecc2c964133","date_updated":"2025-01-09T10:39:41Z","date_created":"2025-01-09T10:39:41Z","file_id":"18805","file_name":"2024_PloS_Burnett.pdf","creator":"dernst","file_size":4016568,"relation":"main_file","access_level":"open_access","success":1}],"acknowledgement":"This work was supported by a European Research Council Starting Grant 756502 (MJ). ","pmid":1,"ec_funded":1,"intvolume":"        22","isi":1,"file_date_updated":"2025-01-09T10:39:41Z","publication":"PLoS Biology","author":[{"orcid":"0000-0002-8937-410X","full_name":"Burnett, Laura","last_name":"Burnett","first_name":"Laura","id":"3B717F68-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Koppensteiner, Peter","last_name":"Koppensteiner","first_name":"Peter","id":"3B8B25A8-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-3509-1948"},{"orcid":"0000-0003-2012-9947","first_name":"Olga","id":"3C0C7BC6-F248-11E8-B48F-1D18A9856A87","last_name":"Symonova","full_name":"Symonova, Olga"},{"id":"93ac43e8-8599-11eb-9b86-f6efb0a4c207","first_name":"Tomas","full_name":"Masson, Tomas","last_name":"Masson","orcid":"0000-0002-2634-6283"},{"full_name":"Vega Zuniga, Tomas A","last_name":"Vega Zuniga","first_name":"Tomas A","id":"2E7C4E78-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Ximena","id":"475990FE-F248-11E8-B48F-1D18A9856A87","last_name":"Contreras","full_name":"Contreras, Ximena"},{"first_name":"Thomas","last_name":"Rülicke","full_name":"Rülicke, Thomas"},{"orcid":"0000-0001-8761-9444","full_name":"Shigemoto, Ryuichi","last_name":"Shigemoto","first_name":"Ryuichi","id":"499F3ABC-F248-11E8-B48F-1D18A9856A87"},{"id":"3E57A680-F248-11E8-B48F-1D18A9856A87","first_name":"Gaia","full_name":"Novarino, Gaia","last_name":"Novarino","orcid":"0000-0002-7673-7178"},{"orcid":"0000-0002-3937-1330","full_name":"Jösch, Maximilian A","last_name":"Jösch","first_name":"Maximilian A","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87"}],"scopus_import":"1","abstract":[{"lang":"eng","text":"Despite the diverse genetic origins of autism spectrum disorders (ASDs), affected individuals share strikingly similar and correlated behavioural traits that include perceptual and sensory processing challenges. Notably, the severity of these sensory symptoms is often predictive of the expression of other autistic traits. However, the origin of these perceptual deficits remains largely elusive. Here, we show a recurrent impairment in visual threat perception that is similarly impaired in 3 independent mouse models of ASD with different molecular aetiologies. Interestingly, this deficit is associated with reduced avoidance of threatening environments—a nonperceptual trait. Focusing on a common cause of ASDs, the Setd5 gene mutation, we define the molecular mechanism. We show that the perceptual impairment is caused by a potassium channel (Kv1)-mediated hypoexcitability in a subcortical node essential for the initiation of escape responses, the dorsal periaqueductal grey (dPAG). Targeted pharmacological Kv1 blockade rescued both perceptual and place avoidance deficits, causally linking seemingly unrelated trait deficits to the dPAG. Furthermore, we show that different molecular mechanisms converge on similar behavioural phenotypes by demonstrating that the autism models Cul3 and Ptchd1, despite having similar behavioural phenotypes, differ in their functional and molecular alteration. Our findings reveal a link between rapid perception controlled by subcortical pathways and appropriate learned interactions with the environment and define a nondevelopmental source of such deficits in ASD."}],"article_number":"e3002668","quality_controlled":"1","volume":22,"language":[{"iso":"eng"}],"corr_author":"1","department":[{"_id":"RySh"},{"_id":"GaNo"},{"_id":"MaJö"}],"external_id":{"pmid":["38857283"],"isi":["001246176800003"]},"date_created":"2024-06-16T22:01:05Z","publication_status":"published","type":"journal_article","publisher":"Public Library of Science","day":"10","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"status":"public","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","oa_version":"Published Version","year":"2024","date_updated":"2025-09-08T07:57:11Z","has_accepted_license":"1","date_published":"2024-06-10T00:00:00Z","project":[{"grant_number":"756502","_id":"2634E9D2-B435-11E9-9278-68D0E5697425","name":"Circuits of Visual Attention","call_identifier":"H2020"}],"citation":{"ieee":"L. Burnett <i>et al.</i>, “Shared behavioural impairments in visual perception and place avoidance across different autism models are driven by periaqueductal grey hypoexcitability in Setd5 haploinsufficient mice,” <i>PLoS Biology</i>, vol. 22. Public Library of Science, 2024.","short":"L. Burnett, P. Koppensteiner, O. Symonova, T. Masson, T.A. Vega Zuniga, X. Contreras, T. Rülicke, R. Shigemoto, G. Novarino, M.A. Jösch, PLoS Biology 22 (2024).","mla":"Burnett, Laura, et al. “Shared Behavioural Impairments in Visual Perception and Place Avoidance across Different Autism Models Are Driven by Periaqueductal Grey Hypoexcitability in Setd5 Haploinsufficient Mice.” <i>PLoS Biology</i>, vol. 22, e3002668, Public Library of Science, 2024, doi:<a href=\"https://doi.org/10.1371/journal.pbio.3002668\">10.1371/journal.pbio.3002668</a>.","chicago":"Burnett, Laura, Peter Koppensteiner, Olga Symonova, Tomas Masson, Tomas A Vega Zuniga, Ximena Contreras, Thomas Rülicke, Ryuichi Shigemoto, Gaia Novarino, and Maximilian A Jösch. “Shared Behavioural Impairments in Visual Perception and Place Avoidance across Different Autism Models Are Driven by Periaqueductal Grey Hypoexcitability in Setd5 Haploinsufficient Mice.” <i>PLoS Biology</i>. Public Library of Science, 2024. <a href=\"https://doi.org/10.1371/journal.pbio.3002668\">https://doi.org/10.1371/journal.pbio.3002668</a>.","ista":"Burnett L, Koppensteiner P, Symonova O, Masson T, Vega Zuniga TA, Contreras X, Rülicke T, Shigemoto R, Novarino G, Jösch MA. 2024. Shared behavioural impairments in visual perception and place avoidance across different autism models are driven by periaqueductal grey hypoexcitability in Setd5 haploinsufficient mice. PLoS Biology. 22, e3002668.","ama":"Burnett L, Koppensteiner P, Symonova O, et al. Shared behavioural impairments in visual perception and place avoidance across different autism models are driven by periaqueductal grey hypoexcitability in Setd5 haploinsufficient mice. <i>PLoS Biology</i>. 2024;22. doi:<a href=\"https://doi.org/10.1371/journal.pbio.3002668\">10.1371/journal.pbio.3002668</a>","apa":"Burnett, L., Koppensteiner, P., Symonova, O., Masson, T., Vega Zuniga, T. A., Contreras, X., … Jösch, M. A. (2024). Shared behavioural impairments in visual perception and place avoidance across different autism models are driven by periaqueductal grey hypoexcitability in Setd5 haploinsufficient mice. <i>PLoS Biology</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pbio.3002668\">https://doi.org/10.1371/journal.pbio.3002668</a>"},"related_material":{"record":[{"relation":"research_data","status":"public","id":"15385"}],"link":[{"relation":"software","url":"https://doi.org/10.5281/zenodo.11130587"}]},"article_processing_charge":"Yes","title":"Shared behavioural impairments in visual perception and place avoidance across different autism models are driven by periaqueductal grey hypoexcitability in Setd5 haploinsufficient mice","month":"06","_id":"17142","OA_place":"publisher","doi":"10.1371/journal.pbio.3002668","article_type":"original","OA_type":"gold","ddc":["570"]},{"date_updated":"2025-09-08T14:24:24Z","year":"2024","oa_version":"None","has_accepted_license":"1","date_published":"2024-09-01T00:00:00Z","project":[{"name":"Evolution of Sensorimotor Transformation Across Diptera","grant_number":"429960716","_id":"9B767A34-BA93-11EA-9121-9846C619BF3A"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","file_date_updated":"2024-09-03T17:39:32Z","author":[{"full_name":"Satapathy, Roshan K","last_name":"Satapathy","first_name":"Roshan K","id":"46046B7A-F248-11E8-B48F-1D18A9856A87","orcid":"0009-0006-2974-5075"},{"first_name":"Maximilian A","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","last_name":"Jösch","full_name":"Jösch, Maximilian A","orcid":"0000-0002-3937-1330"},{"orcid":"0000-0003-2012-9947","last_name":"Symonova","full_name":"Symonova, Olga","id":"3C0C7BC6-F248-11E8-B48F-1D18A9856A87","first_name":"Olga"},{"orcid":"0000-0001-7660-444X","first_name":"Victoria","id":"3184041C-F248-11E8-B48F-1D18A9856A87","last_name":"Pokusaeva","full_name":"Pokusaeva, Victoria"}],"keyword":["drosophila","behaviour","locomotion","gap junctions"],"tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"oa":1,"file":[{"creator":"rsatapat","file_name":"BehaviouralData.zip","file_id":"17489","date_created":"2024-09-03T17:39:32Z","file_size":965778072,"content_type":"application/x-zip-compressed","checksum":"df9d6c8ddffa046c3b1639281f83cfcf","date_updated":"2024-09-03T17:39:32Z","success":1,"access_level":"open_access","relation":"main_file"}],"status":"public","publisher":"Institute of Science and Technology Austria","type":"research_data","ddc":["570"],"doi":"10.15479/AT:ISTA:17488","corr_author":"1","date_created":"2024-09-03T17:42:46Z","department":[{"_id":"GradSch"},{"_id":"MaJö"}],"month":"09","title":"Bilateral interactions of optic-flow sensitive neurons coordinate course control in flies","_id":"17488","related_material":{"record":[{"relation":"used_in_publication","status":"public","id":"18444"}]},"citation":{"ista":"Satapathy RK, Jösch MA, Symonova O, Pokusaeva V. 2024. Bilateral interactions of optic-flow sensitive neurons coordinate course control in flies, Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT:ISTA:17488\">10.15479/AT:ISTA:17488</a>.","chicago":"Satapathy, Roshan K, Maximilian A Jösch, Olga Symonova, and Victoria Pokusaeva. “Bilateral Interactions of Optic-Flow Sensitive Neurons Coordinate Course Control in Flies.” Institute of Science and Technology Austria, 2024. <a href=\"https://doi.org/10.15479/AT:ISTA:17488\">https://doi.org/10.15479/AT:ISTA:17488</a>.","apa":"Satapathy, R. K., Jösch, M. A., Symonova, O., &#38; Pokusaeva, V. (2024). Bilateral interactions of optic-flow sensitive neurons coordinate course control in flies. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:17488\">https://doi.org/10.15479/AT:ISTA:17488</a>","ama":"Satapathy RK, Jösch MA, Symonova O, Pokusaeva V. Bilateral interactions of optic-flow sensitive neurons coordinate course control in flies. 2024. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:17488\">10.15479/AT:ISTA:17488</a>","ieee":"R. K. Satapathy, M. A. Jösch, O. Symonova, and V. Pokusaeva, “Bilateral interactions of optic-flow sensitive neurons coordinate course control in flies.” Institute of Science and Technology Austria, 2024.","short":"R.K. Satapathy, M.A. Jösch, O. Symonova, V. Pokusaeva, (2024).","mla":"Satapathy, Roshan K., et al. <i>Bilateral Interactions of Optic-Flow Sensitive Neurons Coordinate Course Control in Flies</i>. Institute of Science and Technology Austria, 2024, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:17488\">10.15479/AT:ISTA:17488</a>."},"acknowledged_ssus":[{"_id":"M-Shop"}],"article_processing_charge":"No","abstract":[{"text":"Behavioural data for Pokusaeva, Satapathy et al. Relevant information can be found in the 'README.txt' file.","lang":"eng"}]},{"_id":"18444","month":"10","title":"Bilateral interactions of optic-flow sensitive neurons coordinate course control in flies","article_processing_charge":"Yes","related_material":{"record":[{"id":"17488","status":"public","relation":"research_data"},{"id":"18568","relation":"dissertation_contains","status":"public"}]},"citation":{"ama":"Pokusaeva V, Satapathy RK, Symonova O, Jösch MA. Bilateral interactions of optic-flow sensitive neurons coordinate course control in flies. <i>Nature Communications</i>. 2024;15. doi:<a href=\"https://doi.org/10.1038/s41467-024-53173-w\">10.1038/s41467-024-53173-w</a>","apa":"Pokusaeva, V., Satapathy, R. K., Symonova, O., &#38; Jösch, M. A. (2024). Bilateral interactions of optic-flow sensitive neurons coordinate course control in flies. <i>Nature Communications</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41467-024-53173-w\">https://doi.org/10.1038/s41467-024-53173-w</a>","chicago":"Pokusaeva, Victoria, Roshan K Satapathy, Olga Symonova, and Maximilian A Jösch. “Bilateral Interactions of Optic-Flow Sensitive Neurons Coordinate Course Control in Flies.” <i>Nature Communications</i>. Springer Nature, 2024. <a href=\"https://doi.org/10.1038/s41467-024-53173-w\">https://doi.org/10.1038/s41467-024-53173-w</a>.","ista":"Pokusaeva V, Satapathy RK, Symonova O, Jösch MA. 2024. Bilateral interactions of optic-flow sensitive neurons coordinate course control in flies. Nature Communications. 15, 8830.","short":"V. Pokusaeva, R.K. Satapathy, O. Symonova, M.A. Jösch, Nature Communications 15 (2024).","mla":"Pokusaeva, Victoria, et al. “Bilateral Interactions of Optic-Flow Sensitive Neurons Coordinate Course Control in Flies.” <i>Nature Communications</i>, vol. 15, 8830, Springer Nature, 2024, doi:<a href=\"https://doi.org/10.1038/s41467-024-53173-w\">10.1038/s41467-024-53173-w</a>.","ieee":"V. Pokusaeva, R. K. Satapathy, O. Symonova, and M. A. Jösch, “Bilateral interactions of optic-flow sensitive neurons coordinate course control in flies,” <i>Nature Communications</i>, vol. 15. Springer Nature, 2024."},"ddc":["570"],"article_type":"original","OA_type":"gold","OA_place":"publisher","doi":"10.1038/s41467-024-53173-w","status":"public","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"publisher":"Springer Nature","type":"journal_article","day":"12","project":[{"name":"Evolution of Sensorimotor Transformation Across Diptera","_id":"9B767A34-BA93-11EA-9121-9846C619BF3A","grant_number":"429960716"}],"date_published":"2024-10-12T00:00:00Z","has_accepted_license":"1","date_updated":"2026-04-07T13:00:35Z","year":"2024","oa_version":"Published Version","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","volume":15,"quality_controlled":"1","article_number":"8830","abstract":[{"lang":"eng","text":"Animals rely on compensatory actions to maintain stability and navigate their environment efficiently. These actions depend on global visual motion cues known as optic-flow. While the optomotor response has been the traditional focus for studying optic-flow compensation in insects, its simplicity has been insufficient to determine the role of the intricate optic-flow processing network involved in visual course control. Here, we reveal a series of course control behaviours in Drosophila and link them to specific neural circuits. We show that bilateral electrical coupling of optic-flow-sensitive neurons in the fly’s lobula plate are required for a proper course control. This electrical interaction works alongside chemical synapses within the HS-H2 network to control the dynamics and direction of turning behaviours. Our findings reveal how insects use bilateral motion cues for navigation, assigning a new functional significance to the HS-H2 network and suggesting a previously unknown role for gap junctions in non-linear operations."}],"acknowledged_ssus":[{"_id":"Bio"},{"_id":"M-Shop"},{"_id":"LifeSc"}],"publication_status":"published","date_created":"2024-10-20T22:02:05Z","department":[{"_id":"MaJö"}],"external_id":{"pmid":["39396050"],"isi":["001336422500001"]},"language":[{"iso":"eng"}],"corr_author":"1","pmid":1,"DOAJ_listed":"1","acknowledgement":"We thank Georg Ammer and Alexander Borst for sharing anti-ShakB serum antibodies. We thank Nélia Varela and Eugenia Chiappe for the w1118;+;10XUAS-IVS-eGFPKir2.1/TM6B fly line, Augustin Hrvoje for the shakB[2] line, as well as Jesse Isaacman-Beck and Thomas R Clandinin for the gift of y1,w*;20XUAS-IVS-PhiC31;+ fly line. We also thank Armel Nicolas and Tomas Masson for the proteomic analysis, Ece Sönmez for help with fly crosses and dissections for protein analysis, and Lisa Hofer for assistance with the reconstruction experiments. We would also like to thank Laura Burnett for drawing scientific illustrations used in the figures. We are particularly grateful to members of the Siekhaus, the Kondrashov, and the Chiappe group for providing material support and technical advice. We are grateful to Daria Siekhaus, Eugenia Chiappe, Alexander Borst, Ben deBivort, and all the members of the Joesch laboratory for valuable discussions and comments on the manuscript. Stocks from the Bloomington Drosophila Stock Center (NIH P40OD018537) and the Vienna Drosophila Resource Center were used in this study. The Scientific Service Units of ISTA supported the project through resources provided by the Imaging and Optics Facility, MIBA Machine Shop, and the Lab Support Facility, as well as Vienna Drosophila Research Centre. This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) as part of the SPP 2205 – 429960716 (M.J.).","file":[{"creator":"dernst","file_name":"2024_NatureComm_Pokusaeva.pdf","file_id":"18459","date_created":"2024-10-21T12:11:10Z","file_size":8276667,"content_type":"application/pdf","checksum":"2af4d6e7364329107aa94d072d594ce0","date_updated":"2024-10-21T12:11:10Z","success":1,"access_level":"open_access","relation":"main_file"}],"oa":1,"publication_identifier":{"eissn":["2041-1723"]},"APC_amount":"6828 EUR","publication":"Nature Communications","scopus_import":"1","file_date_updated":"2024-10-21T12:11:10Z","author":[{"full_name":"Pokusaeva, Victoria","last_name":"Pokusaeva","first_name":"Victoria","id":"3184041C-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-7660-444X"},{"full_name":"Satapathy, Roshan K","last_name":"Satapathy","id":"46046B7A-F248-11E8-B48F-1D18A9856A87","first_name":"Roshan K","orcid":"0009-0006-2974-5075"},{"orcid":"0000-0003-2012-9947","full_name":"Symonova, Olga","last_name":"Symonova","id":"3C0C7BC6-F248-11E8-B48F-1D18A9856A87","first_name":"Olga"},{"last_name":"Jösch","full_name":"Jösch, Maximilian A","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","first_name":"Maximilian A","orcid":"0000-0002-3937-1330"}],"intvolume":"        15","isi":1},{"publication_status":"published","department":[{"_id":"GradSch"},{"_id":"MaJö"}],"external_id":{"pmid":["36959418"],"isi":["000955258300002"]},"date_created":"2023-01-23T14:14:19Z","corr_author":"1","language":[{"iso":"eng"}],"volume":26,"quality_controlled":"1","abstract":[{"text":"Statistics of natural scenes are not uniform - their structure varies dramatically from ground to sky. It remains unknown whether these non-uniformities are reflected in the large-scale organization of the early visual system and what benefits such adaptations would confer. Here, by relying on the efficient coding hypothesis, we predict that changes in the structure of receptive fields across visual space increase the efficiency of sensory coding. We show experimentally that, in agreement with our predictions, receptive fields of retinal ganglion cells change their shape along the dorsoventral retinal axis, with a marked surround asymmetry at the visual horizon. Our work demonstrates that, according to principles of efficient coding, the panoramic structure of natural scenes is exploited by the retina across space and cell-types.","lang":"eng"}],"acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"PreCl"},{"_id":"LifeSc"},{"_id":"Bio"}],"scopus_import":"1","publication":"Nature Neuroscience","file_date_updated":"2023-10-04T11:40:51Z","author":[{"full_name":"Gupta, Divyansh","last_name":"Gupta","id":"2A485EBE-F248-11E8-B48F-1D18A9856A87","first_name":"Divyansh","orcid":"0000-0001-7400-6665"},{"full_name":"Mlynarski, Wiktor F","last_name":"Mlynarski","id":"358A453A-F248-11E8-B48F-1D18A9856A87","first_name":"Wiktor F"},{"orcid":"0000-0002-4792-1881","full_name":"Sumser, Anton L","last_name":"Sumser","first_name":"Anton L","id":"3320A096-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0003-2012-9947","last_name":"Symonova","full_name":"Symonova, Olga","first_name":"Olga","id":"3C0C7BC6-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Jan","id":"f7f724c3-9d6f-11ed-9f44-e5c5f3a5bee2","last_name":"Svaton","full_name":"Svaton, Jan","orcid":"0000-0002-6198-2939"},{"orcid":"0000-0002-3937-1330","first_name":"Maximilian A","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","last_name":"Jösch","full_name":"Jösch, Maximilian A"}],"ec_funded":1,"isi":1,"intvolume":"        26","file":[{"relation":"main_file","access_level":"open_access","success":1,"content_type":"application/pdf","checksum":"a33d91e398e548f34003170e10988368","date_updated":"2023-10-04T11:40:51Z","file_id":"14395","date_created":"2023-10-04T11:40:51Z","file_name":"2023_NatureNeuroscience_Gupta.pdf","creator":"dernst","file_size":6144866}],"acknowledgement":"We thank Hiroki Asari for sharing the dataset of naturalistic images, Anton Sumser for sharing visual stimulus code, Yoav Ben Simon for initial explorative work with the generation of AAVs, and Tomas Vega-Zuñiga for help with immunostainings. We also thank Gasper Tkacik and members of the Neuroethology group for their comments on the manuscript. This research was supported by the Scientific Service Units of IST Austria through resources provided by Scientific Computing, the Preclinical Facility, the Lab Support Facility, and the Imaging and Optics Facility. This work was supported by European Union Horizon 2020 Marie Skłodowska-Curie grant 665385 (DG), Austrian Science Fund (FWF) stand-alone grant P 34015 (WM), Human Frontiers Science Program LT000256/2018-L (AS), EMBO ALTF 1098-2017 (AS) and the European Research Council Starting Grant 756502 (MJ).","pmid":1,"oa":1,"publication_identifier":{"eissn":["1546-1726"],"issn":["1097-6256"]},"ddc":["570"],"doi":"10.1038/s41593-023-01280-0","article_type":"original","_id":"12349","title":"Panoramic visual statistics shape retina-wide organization of receptive fields","month":"04","article_processing_charge":"Yes (in subscription journal)","citation":{"chicago":"Gupta, Divyansh, Wiktor F Mlynarski, Anton L Sumser, Olga Symonova, Jan Svaton, and Maximilian A Jösch. “Panoramic Visual Statistics Shape Retina-Wide Organization of Receptive Fields.” <i>Nature Neuroscience</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1038/s41593-023-01280-0\">https://doi.org/10.1038/s41593-023-01280-0</a>.","ista":"Gupta D, Mlynarski WF, Sumser AL, Symonova O, Svaton J, Jösch MA. 2023. Panoramic visual statistics shape retina-wide organization of receptive fields. Nature Neuroscience. 26, 606–614.","ama":"Gupta D, Mlynarski WF, Sumser AL, Symonova O, Svaton J, Jösch MA. Panoramic visual statistics shape retina-wide organization of receptive fields. <i>Nature Neuroscience</i>. 2023;26:606-614. doi:<a href=\"https://doi.org/10.1038/s41593-023-01280-0\">10.1038/s41593-023-01280-0</a>","apa":"Gupta, D., Mlynarski, W. F., Sumser, A. L., Symonova, O., Svaton, J., &#38; Jösch, M. A. (2023). Panoramic visual statistics shape retina-wide organization of receptive fields. <i>Nature Neuroscience</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41593-023-01280-0\">https://doi.org/10.1038/s41593-023-01280-0</a>","ieee":"D. Gupta, W. F. Mlynarski, A. L. Sumser, O. Symonova, J. Svaton, and M. A. Jösch, “Panoramic visual statistics shape retina-wide organization of receptive fields,” <i>Nature Neuroscience</i>, vol. 26. Springer Nature, pp. 606–614, 2023.","short":"D. Gupta, W.F. Mlynarski, A.L. Sumser, O. Symonova, J. Svaton, M.A. Jösch, Nature Neuroscience 26 (2023) 606–614.","mla":"Gupta, Divyansh, et al. “Panoramic Visual Statistics Shape Retina-Wide Organization of Receptive Fields.” <i>Nature Neuroscience</i>, vol. 26, Springer Nature, 2023, pp. 606–14, doi:<a href=\"https://doi.org/10.1038/s41593-023-01280-0\">10.1038/s41593-023-01280-0</a>."},"related_material":{"record":[{"status":"public","relation":"research_data","id":"12370"},{"id":"18574","relation":"dissertation_contains","status":"public"}]},"has_accepted_license":"1","project":[{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385","name":"International IST Doctoral Program","call_identifier":"H2020"},{"_id":"626c45b5-2b32-11ec-9570-e509828c1ba6","grant_number":"P34015","name":"Efficient coding with biophysical realism"},{"_id":"2634E9D2-B435-11E9-9278-68D0E5697425","grant_number":"756502","call_identifier":"H2020","name":"Circuits of Visual Attention"},{"name":"Neuronal networks of salience and spatial detection in the murine superior colliculus","grant_number":"LT000256","_id":"266D407A-B435-11E9-9278-68D0E5697425"},{"_id":"264FEA02-B435-11E9-9278-68D0E5697425","grant_number":"ALTF 1098-2017","name":"Connecting sensory with motor processing in the superior colliculus"}],"date_published":"2023-04-01T00:00:00Z","oa_version":"Published Version","year":"2023","date_updated":"2026-04-28T22:30:27Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","page":"606-614","status":"public","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"publisher":"Springer Nature","day":"01","type":"journal_article"},{"type":"research_data","day":"26","publisher":"Institute of Science and Technology Austria","tmp":{"image":"/images/cc_by_nc_sa.png","name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","short":"CC BY-NC-SA (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode"},"status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_updated":"2026-04-28T22:30:27Z","year":"2023","oa_version":"Published Version","date_published":"2023-01-26T00:00:00Z","has_accepted_license":"1","project":[{"grant_number":"665385","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","name":"International IST Doctoral Program","call_identifier":"H2020"},{"name":"Efficient coding with biophysical realism","grant_number":"P34015","_id":"626c45b5-2b32-11ec-9570-e509828c1ba6"},{"call_identifier":"H2020","name":"Circuits of Visual Attention","grant_number":"756502","_id":"2634E9D2-B435-11E9-9278-68D0E5697425"},{"_id":"266D407A-B435-11E9-9278-68D0E5697425","grant_number":"LT000256","name":"Neuronal networks of salience and spatial detection in the murine superior colliculus"},{"name":"Connecting sensory with motor processing in the superior colliculus","_id":"264FEA02-B435-11E9-9278-68D0E5697425","grant_number":"ALTF 1098-2017"}],"related_material":{"record":[{"id":"12349","relation":"used_in_publication","status":"public"},{"id":"18574","status":"public","relation":"used_in_publication"}]},"citation":{"short":"D. Gupta, A.L. Sumser, M.A. Jösch, (2023).","mla":"Gupta, Divyansh, et al. <i>Research Data for: Panoramic Visual Statistics Shape Retina-Wide Organization of Receptive Fields</i>. Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:12370\">10.15479/AT:ISTA:12370</a>.","ieee":"D. Gupta, A. L. Sumser, and M. A. Jösch, “Research Data for: Panoramic visual statistics shape retina-wide organization of receptive fields.” Institute of Science and Technology Austria, 2023.","ama":"Gupta D, Sumser AL, Jösch MA. Research Data for: Panoramic visual statistics shape retina-wide organization of receptive fields. 2023. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:12370\">10.15479/AT:ISTA:12370</a>","apa":"Gupta, D., Sumser, A. L., &#38; Jösch, M. A. (2023). Research Data for: Panoramic visual statistics shape retina-wide organization of receptive fields. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT:ISTA:12370\">https://doi.org/10.15479/AT:ISTA:12370</a>","chicago":"Gupta, Divyansh, Anton L Sumser, and Maximilian A Jösch. “Research Data for: Panoramic Visual Statistics Shape Retina-Wide Organization of Receptive Fields.” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/AT:ISTA:12370\">https://doi.org/10.15479/AT:ISTA:12370</a>.","ista":"Gupta D, Sumser AL, Jösch MA. 2023. 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Divyansh","last_name":"Gupta","id":"2A485EBE-F248-11E8-B48F-1D18A9856A87","first_name":"Divyansh"},{"full_name":"Sumser, Anton L","last_name":"Sumser","id":"3320A096-F248-11E8-B48F-1D18A9856A87","first_name":"Anton L","orcid":"0000-0002-4792-1881"},{"first_name":"Maximilian A","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","last_name":"Jösch","full_name":"Jösch, Maximilian A","orcid":"0000-0002-3937-1330"}],"file_date_updated":"2023-01-26T10:51:34Z","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"M-Shop"},{"_id":"Bio"},{"_id":"PreCl"},{"_id":"LifeSc"}],"license":"https://creativecommons.org/licenses/by-nc-sa/4.0/","abstract":[{"lang":"eng","text":"Statistics of natural scenes are not uniform - their structure varies dramatically from ground to sky. It remains unknown whether these non-uniformities are reflected in the large-scale organization of the early visual system and what benefits such adaptations would confer. Here, by relying on the efficient coding hypothesis, we predict that changes in the structure of receptive fields across visual space increase the efficiency of sensory coding. We show experimentally that, in agreement with our predictions, receptive fields of retinal ganglion cells change their shape along the dorsoventral retinal axis, with a marked surround asymmetry at the visual horizon. Our work demonstrates that, according to principles of efficient coding, the panoramic structure of natural scenes is exploited by the retina across space and cell-types. "}],"corr_author":"1","contributor":[{"id":"3C0C7BC6-F248-11E8-B48F-1D18A9856A87","first_name":"Olga","last_name":"Symonova","contributor_type":"researcher"},{"contributor_type":"researcher","last_name":"Mlynarski","id":"358A453A-F248-11E8-B48F-1D18A9856A87","first_name":"Wiktor F"},{"last_name":"Svaton","contributor_type":"researcher","first_name":"Jan","id":"f7f724c3-9d6f-11ed-9f44-e5c5f3a5bee2"}],"date_created":"2023-01-25T12:45:18Z","department":[{"_id":"GradSch"},{"_id":"MaJö"}]},{"_id":"12288","month":"09","title":"Fast, high-throughput production of improved rabies viral vectors for specific, efficient and versatile transsynaptic retrograde labeling","article_processing_charge":"No","citation":{"short":"A.L. Sumser, M.A. Jösch, P.M. Jonas, Y. Ben Simon, ELife 11 (2022).","mla":"Sumser, Anton L., et al. “Fast, High-Throughput Production of Improved Rabies Viral Vectors for Specific, Efficient and Versatile Transsynaptic Retrograde Labeling.” <i>ELife</i>, vol. 11, 79848, eLife Sciences Publications, 2022, doi:<a href=\"https://doi.org/10.7554/elife.79848\">10.7554/elife.79848</a>.","ieee":"A. L. Sumser, M. A. Jösch, P. M. Jonas, and Y. Ben Simon, “Fast, high-throughput production of improved rabies viral vectors for specific, efficient and versatile transsynaptic retrograde labeling,” <i>eLife</i>, vol. 11. eLife Sciences Publications, 2022.","ama":"Sumser AL, Jösch MA, Jonas PM, Ben Simon Y. Fast, high-throughput production of improved rabies viral vectors for specific, efficient and versatile transsynaptic retrograde labeling. <i>eLife</i>. 2022;11. doi:<a href=\"https://doi.org/10.7554/elife.79848\">10.7554/elife.79848</a>","apa":"Sumser, A. L., Jösch, M. A., Jonas, P. M., &#38; Ben Simon, Y. (2022). Fast, high-throughput production of improved rabies viral vectors for specific, efficient and versatile transsynaptic retrograde labeling. <i>ELife</i>. eLife Sciences Publications. <a href=\"https://doi.org/10.7554/elife.79848\">https://doi.org/10.7554/elife.79848</a>","chicago":"Sumser, Anton L, Maximilian A Jösch, Peter M Jonas, and Yoav Ben Simon. “Fast, High-Throughput Production of Improved Rabies Viral Vectors for Specific, Efficient and Versatile Transsynaptic Retrograde Labeling.” <i>ELife</i>. eLife Sciences Publications, 2022. <a href=\"https://doi.org/10.7554/elife.79848\">https://doi.org/10.7554/elife.79848</a>.","ista":"Sumser AL, Jösch MA, Jonas PM, Ben Simon Y. 2022. Fast, high-throughput production of improved rabies viral vectors for specific, efficient and versatile transsynaptic retrograde labeling. eLife. 11, 79848."},"ddc":["570"],"article_type":"original","doi":"10.7554/elife.79848","status":"public","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"day":"15","type":"journal_article","publisher":"eLife Sciences Publications","project":[{"_id":"25B7EB9E-B435-11E9-9278-68D0E5697425","grant_number":"692692","call_identifier":"H2020","name":"Biophysics and circuit function of a giant cortical glutamatergic synapse"},{"grant_number":"756502","_id":"2634E9D2-B435-11E9-9278-68D0E5697425","name":"Circuits of Visual Attention","call_identifier":"H2020"},{"call_identifier":"FWF","name":"Synaptic communication in neuronal microcircuits","grant_number":"Z00312","_id":"25C5A090-B435-11E9-9278-68D0E5697425"},{"name":"Neuronal networks of salience and spatial detection in the murine superior colliculus","grant_number":"LT000256","_id":"266D407A-B435-11E9-9278-68D0E5697425"},{"name":"Connecting sensory with motor processing in the superior colliculus","_id":"264FEA02-B435-11E9-9278-68D0E5697425","grant_number":"ALTF 1098-2017"}],"date_published":"2022-09-15T00:00:00Z","has_accepted_license":"1","date_updated":"2025-04-15T08:29:05Z","oa_version":"Published Version","year":"2022","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","volume":11,"quality_controlled":"1","article_number":"79848","abstract":[{"lang":"eng","text":"To understand the function of neuronal circuits, it is crucial to disentangle the connectivity patterns within the network. However, most tools currently used to explore connectivity have low throughput, low selectivity, or limited accessibility. Here, we report the development of an improved packaging system for the production of the highly neurotropic RVdGenvA-CVS-N2c rabies viral vectors, yielding titers orders of magnitude higher with no background contamination, at a fraction of the production time, while preserving the efficiency of transsynaptic labeling. Along with the production pipeline, we developed suites of ‘starter’ AAV and bicistronic RVdG-CVS-N2c vectors, enabling retrograde labeling from a wide range of neuronal populations, tailored for diverse experimental requirements. We demonstrate the power and flexibility of the new system by uncovering hidden local and distal inhibitory connections in the mouse hippocampal formation and by imaging the functional properties of a cortical microcircuit across weeks. Our novel production pipeline provides a convenient approach to generate new rabies vectors, while our toolkit flexibly and efficiently expands the current capacity to label, manipulate and image the neuronal activity of interconnected neuronal circuits in vitro and in vivo."}],"acknowledged_ssus":[{"_id":"Bio"},{"_id":"PreCl"}],"publication_status":"published","date_created":"2023-01-16T10:04:15Z","department":[{"_id":"MaJö"},{"_id":"PeJo"}],"external_id":{"isi":["000892204300001"],"pmid":["36040301"]},"language":[{"iso":"eng"}],"corr_author":"1","pmid":1,"acknowledgement":"We thank F Marr for technical assistance, A Murray for RVdG-CVS-N2c viruses and Neuro2A packaging cell-lines and J Watson for reading the manuscript. This research was supported by the Scientific Service Units (SSU) of IST-Austria through resources provided by the Imaging and Optics Facility (IOF) and the Preclinical Facility (PCF). This project was funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (ERC advanced grant No 692692, PJ, ERC starting grant No 756502, MJ), the Fond zur Förderung der Wissenschaftlichen Forschung (Z 312-B27, Wittgenstein award, PJ), the Human Frontier Science Program (LT000256/2018-L, AS) and EMBO (ALTF 1098-2017, AS).","file":[{"file_size":8506811,"file_name":"2022_eLife_Sumser.pdf","creator":"dernst","file_id":"12463","date_created":"2023-01-30T11:50:53Z","date_updated":"2023-01-30T11:50:53Z","content_type":"application/pdf","checksum":"5a2a65e3e7225090c3d8199f3bbd7b7b","success":1,"access_level":"open_access","relation":"main_file"}],"oa":1,"publication_identifier":{"eissn":["2050-084X"]},"scopus_import":"1","author":[{"orcid":"0000-0002-4792-1881","full_name":"Sumser, Anton L","last_name":"Sumser","first_name":"Anton L","id":"3320A096-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Jösch","full_name":"Jösch, Maximilian A","first_name":"Maximilian A","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-3937-1330"},{"first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","full_name":"Jonas, Peter M","last_name":"Jonas","orcid":"0000-0001-5001-4804"},{"full_name":"Ben Simon, Yoav","last_name":"Ben Simon","id":"43DF3136-F248-11E8-B48F-1D18A9856A87","first_name":"Yoav"}],"file_date_updated":"2023-01-30T11:50:53Z","keyword":["General Immunology and Microbiology","General Biochemistry","Genetics and Molecular Biology","General Medicine","General Neuroscience"],"publication":"eLife","isi":1,"intvolume":"        11","ec_funded":1},{"ddc":["570"],"article_type":"original","doi":"10.1016/j.cub.2020.09.074","month":"01","title":"Ventro-dorsal hippocampal pathway gates novelty-induced contextual memory formation","_id":"7551","related_material":{"link":[{"url":"https://ist.ac.at/en/news/remembering-novelty/","relation":"press_release","description":"News on IST Homepage"}]},"citation":{"mla":"Fredes Tolorza, Felipe A., et al. “Ventro-Dorsal Hippocampal Pathway Gates Novelty-Induced Contextual Memory Formation.” <i>Current Biology</i>, vol. 31, no. 1, Elsevier, 2021, p. P25–38.E5, doi:<a href=\"https://doi.org/10.1016/j.cub.2020.09.074\">10.1016/j.cub.2020.09.074</a>.","short":"F.A. Fredes Tolorza, M.A. Silva Sifuentes, P. Koppensteiner, K. Kobayashi, M.A. Jösch, R. Shigemoto, Current Biology 31 (2021) P25–38.E5.","ieee":"F. A. Fredes Tolorza, M. A. Silva Sifuentes, P. Koppensteiner, K. Kobayashi, M. A. Jösch, and R. Shigemoto, “Ventro-dorsal hippocampal pathway gates novelty-induced contextual memory formation,” <i>Current Biology</i>, vol. 31, no. 1. Elsevier, p. P25–38.E5, 2021.","ama":"Fredes Tolorza FA, Silva Sifuentes MA, Koppensteiner P, Kobayashi K, Jösch MA, Shigemoto R. Ventro-dorsal hippocampal pathway gates novelty-induced contextual memory formation. <i>Current Biology</i>. 2021;31(1):P25-38.E5. doi:<a href=\"https://doi.org/10.1016/j.cub.2020.09.074\">10.1016/j.cub.2020.09.074</a>","apa":"Fredes Tolorza, F. A., Silva Sifuentes, M. A., Koppensteiner, P., Kobayashi, K., Jösch, M. A., &#38; Shigemoto, R. (2021). Ventro-dorsal hippocampal pathway gates novelty-induced contextual memory formation. <i>Current Biology</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.cub.2020.09.074\">https://doi.org/10.1016/j.cub.2020.09.074</a>","chicago":"Fredes Tolorza, Felipe A, Maria A Silva Sifuentes, Peter Koppensteiner, Kenta Kobayashi, Maximilian A Jösch, and Ryuichi Shigemoto. “Ventro-Dorsal Hippocampal Pathway Gates Novelty-Induced Contextual Memory Formation.” <i>Current Biology</i>. Elsevier, 2021. <a href=\"https://doi.org/10.1016/j.cub.2020.09.074\">https://doi.org/10.1016/j.cub.2020.09.074</a>.","ista":"Fredes Tolorza FA, Silva Sifuentes MA, Koppensteiner P, Kobayashi K, Jösch MA, Shigemoto R. 2021. Ventro-dorsal hippocampal pathway gates novelty-induced contextual memory formation. Current Biology. 31(1), P25–38.E5."},"article_processing_charge":"No","date_updated":"2025-06-12T06:54:22Z","oa_version":"Published Version","year":"2021","project":[{"grant_number":"694539","_id":"25CA28EA-B435-11E9-9278-68D0E5697425","name":"In situ analysis of single channel subunit composition in neurons: physiological implication in synaptic plasticity and behaviour","call_identifier":"H2020"}],"has_accepted_license":"1","date_published":"2021-01-11T00:00:00Z","page":"P25-38.E5","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","tmp":{"name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode"},"status":"public","issue":"1","publisher":"Elsevier","day":"11","type":"journal_article","publication_status":"published","language":[{"iso":"eng"}],"date_created":"2020-02-28T10:56:18Z","external_id":{"isi":["000614361000020"],"pmid":["33065009"]},"department":[{"_id":"MaJö"},{"_id":"RySh"}],"quality_controlled":"1","volume":31,"abstract":[{"text":"Novelty facilitates formation of memories. The detection of novelty and storage of contextual memories are both mediated by the hippocampus, yet the mechanisms that link these two functions remain to be defined. Dentate granule cells (GCs) of the dorsal hippocampus fire upon novelty exposure forming engrams of contextual memory. However, their key excitatory inputs from the entorhinal cortex are not responsive to novelty and are insufficient to make dorsal GCs fire reliably. Here we uncover a powerful glutamatergic pathway to dorsal GCs from ventral hippocampal mossy cells (MCs) that relays novelty, and is necessary and sufficient for driving dorsal GCs activation. Furthermore, manipulation of ventral MCs activity bidirectionally regulates novelty-induced contextual memory acquisition. Our results show that ventral MCs activity controls memory formation through an intra-hippocampal interaction mechanism gated by novelty.","lang":"eng"}],"license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","intvolume":"        31","isi":1,"ec_funded":1,"author":[{"full_name":"Fredes Tolorza, Felipe A","last_name":"Fredes Tolorza","id":"384825DA-F248-11E8-B48F-1D18A9856A87","first_name":"Felipe A"},{"full_name":"Silva Sifuentes, Maria A","last_name":"Silva Sifuentes","first_name":"Maria A","id":"371B3D6E-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0002-3509-1948","full_name":"Koppensteiner, Peter","last_name":"Koppensteiner","id":"3B8B25A8-F248-11E8-B48F-1D18A9856A87","first_name":"Peter"},{"first_name":"Kenta","last_name":"Kobayashi","full_name":"Kobayashi, Kenta"},{"id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","first_name":"Maximilian A","full_name":"Jösch, Maximilian A","last_name":"Jösch","orcid":"0000-0002-3937-1330"},{"full_name":"Shigemoto, Ryuichi","last_name":"Shigemoto","first_name":"Ryuichi","id":"499F3ABC-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8761-9444"}],"publication":"Current Biology","file_date_updated":"2020-10-19T13:31:28Z","scopus_import":"1","oa":1,"pmid":1,"file":[{"date_updated":"2020-10-19T13:31:28Z","checksum":"b7b9c8bc84a08befce365c675229a7d1","content_type":"application/pdf","file_size":4915964,"file_name":"2021_CurrentBiology_Fredes.pdf","creator":"dernst","file_id":"8678","date_created":"2020-10-19T13:31:28Z","access_level":"open_access","relation":"main_file","success":1}],"acknowledgement":"We thank Peter Jonas and Peter Somogyi for critically reading the manuscript, Satoshi Kida for helpful discussion, Taijia Makinen for providing the Prox1-creERT2 mouse line, and Hiromu Yawo for the VAMP2-Venus construct. We also thank Vivek Jayaraman, Ph.D.; Rex A. Kerr, Ph.D.; Douglas S. Kim, Ph.D.; Loren L. Looger, Ph.D.; and Karel Svoboda, Ph.D. from the GENIE Project, Janelia Farm Research Campus, Howard Hughes Medical Institute for the viral constructs used for GCaMP6s expression. We also thank Jacqueline Montanaro, Vanessa Zheden, David Kleindienst, and Laura Burnett for technical assistance, as well as Robert Beattie for imaging assistance. This work was supported by a European Research Council Advanced Grant 694539 to R.S."},{"abstract":[{"text":"Lesion and electrode location verification are traditionally done via histological examination of stained brain slices, a time-consuming procedure that requires manual estimation. Here, we describe a simple, straightforward method for quantifying lesions and locating electrodes in the brain that is less laborious and yields more detailed results. Whole brains are stained with osmium tetroxide, embedded in resin, and imaged with a micro-CT scanner. The scans result in 3D digital volumes of the brains with resolutions and virtual section thicknesses dependent on the sample size (12-15 and 5-6 µm per voxel for rat and zebra finch brains, respectively). Surface and deep lesions can be characterized, and single tetrodes, tetrode arrays, electrolytic lesions, and silicon probes can also be localized. Free and proprietary software allows experimenters to examine the sample volume from any plane and segment the volume manually or automatically. Because this method generates whole brain volume, lesions and electrodes can be quantified to a much higher degree than in current methods, which will help standardize comparisons within and across studies.","lang":"eng"}],"article_processing_charge":"No","citation":{"ieee":"J. Masís, D. Mankus, S. Wolff, G. Guitchounts, M. A. Jösch, and D. Cox, “A micro-CT-based method for characterising lesions and locating electrodes in small animal brains,” <i>Journal of visualized experiments</i>, vol. 141. MyJove Corporation, 2018.","short":"J. Masís, D. Mankus, S. Wolff, G. Guitchounts, M.A. Jösch, D. Cox, Journal of Visualized Experiments 141 (2018).","mla":"Masís, Javier, et al. “A Micro-CT-Based Method for Characterising Lesions and Locating Electrodes in Small Animal Brains.” <i>Journal of Visualized Experiments</i>, vol. 141, MyJove Corporation, 2018, doi:<a href=\"https://doi.org/10.3791/58585\">10.3791/58585</a>.","ista":"Masís J, Mankus D, Wolff S, Guitchounts G, Jösch MA, Cox D. 2018. A micro-CT-based method for characterising lesions and locating electrodes in small animal brains. Journal of visualized experiments. 141.","chicago":"Masís, Javier, David Mankus, Steffen Wolff, Grigori Guitchounts, Maximilian A Jösch, and David Cox. “A Micro-CT-Based Method for Characterising Lesions and Locating Electrodes in Small Animal Brains.” <i>Journal of Visualized Experiments</i>. MyJove Corporation, 2018. <a href=\"https://doi.org/10.3791/58585\">https://doi.org/10.3791/58585</a>.","apa":"Masís, J., Mankus, D., Wolff, S., Guitchounts, G., Jösch, M. A., &#38; Cox, D. (2018). A micro-CT-based method for characterising lesions and locating electrodes in small animal brains. <i>Journal of Visualized Experiments</i>. MyJove Corporation. <a href=\"https://doi.org/10.3791/58585\">https://doi.org/10.3791/58585</a>","ama":"Masís J, Mankus D, Wolff S, Guitchounts G, Jösch MA, Cox D. A micro-CT-based method for characterising lesions and locating electrodes in small animal brains. <i>Journal of visualized experiments</i>. 2018;141. doi:<a href=\"https://doi.org/10.3791/58585\">10.3791/58585</a>"},"_id":"6","volume":141,"quality_controlled":"1","title":"A micro-CT-based method for characterising lesions and locating electrodes in small animal brains","month":"11","department":[{"_id":"MaJö"}],"external_id":{"isi":["000456469400103"]},"date_created":"2018-12-11T11:44:07Z","language":[{"iso":"eng"}],"publist_id":"8050","doi":"10.3791/58585","publication_status":"published","type":"journal_article","day":"08","publisher":"MyJove Corporation","status":"public","scopus_import":"1","publication":"Journal of visualized experiments","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"full_name":"Masís, Javier","last_name":"Masís","first_name":"Javier"},{"last_name":"Mankus","full_name":"Mankus, David","first_name":"David"},{"last_name":"Wolff","full_name":"Wolff, Steffen","first_name":"Steffen"},{"first_name":"Grigori","full_name":"Guitchounts, Grigori","last_name":"Guitchounts"},{"id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","first_name":"Maximilian A","last_name":"Jösch","full_name":"Jösch, Maximilian A","orcid":"0000-0002-3937-1330"},{"last_name":"Cox","full_name":"Cox, David","first_name":"David"}],"intvolume":"       141","isi":1,"date_published":"2018-11-08T00:00:00Z","year":"2018","oa_version":"None","date_updated":"2023-10-17T11:49:25Z"},{"tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"status":"public","day":"24","type":"journal_article","publisher":"Nature Publishing Group","issue":"1","oa_version":"Published Version","year":"2018","date_updated":"2023-09-11T14:02:55Z","date_published":"2018-09-24T00:00:00Z","has_accepted_license":"1","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","title":"Flexible learning-free segmentation and reconstruction of neural volumes","month":"09","_id":"62","citation":{"short":"A. Shabazi, J. Kinnison, R. Vescovi, M. Du, R. Hill, M.A. Jösch, M. Takeno, H. Zeng, N. Da Costa, J. Grutzendler, N. Kasthuri, W. Scheirer, Scientific Reports 8 (2018).","mla":"Shabazi, Ali, et al. “Flexible Learning-Free Segmentation and Reconstruction of Neural Volumes.” <i>Scientific Reports</i>, vol. 8, no. 1, 14247, Nature Publishing Group, 2018, doi:<a href=\"https://doi.org/10.1038/s41598-018-32628-3\">10.1038/s41598-018-32628-3</a>.","ieee":"A. Shabazi <i>et al.</i>, “Flexible learning-free segmentation and reconstruction of neural volumes,” <i>Scientific Reports</i>, vol. 8, no. 1. Nature Publishing Group, 2018.","ama":"Shabazi A, Kinnison J, Vescovi R, et al. Flexible learning-free segmentation and reconstruction of neural volumes. <i>Scientific Reports</i>. 2018;8(1). doi:<a href=\"https://doi.org/10.1038/s41598-018-32628-3\">10.1038/s41598-018-32628-3</a>","apa":"Shabazi, A., Kinnison, J., Vescovi, R., Du, M., Hill, R., Jösch, M. A., … Scheirer, W. (2018). Flexible learning-free segmentation and reconstruction of neural volumes. <i>Scientific Reports</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/s41598-018-32628-3\">https://doi.org/10.1038/s41598-018-32628-3</a>","chicago":"Shabazi, Ali, Jeffery Kinnison, Rafael Vescovi, Ming Du, Robert Hill, Maximilian A Jösch, Marc Takeno, et al. “Flexible Learning-Free Segmentation and Reconstruction of Neural Volumes.” <i>Scientific Reports</i>. Nature Publishing Group, 2018. <a href=\"https://doi.org/10.1038/s41598-018-32628-3\">https://doi.org/10.1038/s41598-018-32628-3</a>.","ista":"Shabazi A, Kinnison J, Vescovi R, Du M, Hill R, Jösch MA, Takeno M, Zeng H, Da Costa N, Grutzendler J, Kasthuri N, Scheirer W. 2018. Flexible learning-free segmentation and reconstruction of neural volumes. Scientific Reports. 8(1), 14247."},"related_material":{"link":[{"relation":"erratum","url":"http://doi.org/10.1038/s41598-018-36220-7"}]},"article_processing_charge":"No","ddc":["570"],"publist_id":"7992","doi":"10.1038/s41598-018-32628-3","article_type":"original","oa":1,"file":[{"file_id":"5699","date_created":"2018-12-17T12:22:24Z","file_name":"2018_ScientificReports_Shahbazi.pdf","creator":"dernst","file_size":4141645,"content_type":"application/pdf","checksum":"1a14ae0666b82fbaa04bef110e3f6bf2","date_updated":"2020-07-14T12:47:24Z","relation":"main_file","access_level":"open_access"}],"acknowledgement":"Equipment was generously donated by the NVIDIA Corporation, and made available by the National Science Foundation (NSF) through grant #CNS-1629914. This research used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357.","isi":1,"intvolume":"         8","publication":"Scientific Reports","author":[{"full_name":"Shabazi, Ali","last_name":"Shabazi","first_name":"Ali"},{"first_name":"Jeffery","full_name":"Kinnison, Jeffery","last_name":"Kinnison"},{"last_name":"Vescovi","full_name":"Vescovi, Rafael","first_name":"Rafael"},{"first_name":"Ming","last_name":"Du","full_name":"Du, Ming"},{"last_name":"Hill","full_name":"Hill, Robert","first_name":"Robert"},{"id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","first_name":"Maximilian A","last_name":"Jösch","full_name":"Jösch, Maximilian A","orcid":"0000-0002-3937-1330"},{"full_name":"Takeno, Marc","last_name":"Takeno","first_name":"Marc"},{"first_name":"Hongkui","full_name":"Zeng, Hongkui","last_name":"Zeng"},{"last_name":"Da Costa","full_name":"Da Costa, Nuno","first_name":"Nuno"},{"first_name":"Jaime","full_name":"Grutzendler, Jaime","last_name":"Grutzendler"},{"full_name":"Kasthuri, Narayanan","last_name":"Kasthuri","first_name":"Narayanan"},{"full_name":"Scheirer, Walter","last_name":"Scheirer","first_name":"Walter"}],"scopus_import":"1","file_date_updated":"2020-07-14T12:47:24Z","quality_controlled":"1","volume":8,"abstract":[{"lang":"eng","text":"Imaging is a dominant strategy for data collection in neuroscience, yielding stacks of images that often scale to gigabytes of data for a single experiment. Machine learning algorithms from computer vision can serve as a pair of virtual eyes that tirelessly processes these images, automatically detecting and identifying microstructures. Unlike learning methods, our Flexible Learning-free Reconstruction of Imaged Neural volumes (FLoRIN) pipeline exploits structure-specific contextual clues and requires no training. This approach generalizes across different modalities, including serially-sectioned scanning electron microscopy (sSEM) of genetically labeled and contrast enhanced processes, spectral confocal reflectance (SCoRe) microscopy, and high-energy synchrotron X-ray microtomography (μCT) of large tissue volumes. We deploy the FLoRIN pipeline on newly published and novel mouse datasets, demonstrating the high biological fidelity of the pipeline’s reconstructions. FLoRIN reconstructions are of sufficient quality for preliminary biological study, for example examining the distribution and morphology of cells or extracting single axons from functional data. Compared to existing supervised learning methods, FLoRIN is one to two orders of magnitude faster and produces high-quality reconstructions that are tolerant to noise and artifacts, as is shown qualitatively and quantitatively."}],"article_number":"14247","publication_status":"published","language":[{"iso":"eng"}],"external_id":{"isi":["000445336600015"]},"department":[{"_id":"MaJö"}],"date_created":"2018-12-11T11:44:25Z"},{"has_accepted_license":"1","date_published":"2018-03-26T00:00:00Z","year":"2018","oa_version":"Published Version","date_updated":"2023-09-08T11:48:39Z","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","status":"public","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"day":"26","publisher":"Nature Publishing Group","type":"journal_article","issue":"1","ddc":["571","572"],"pubrep_id":"994","doi":"10.1038/s41598-018-23247-z","publist_id":"7419","_id":"410","title":"A micro-CT-based method for quantitative brain lesion characterization and electrode localization","month":"03","article_processing_charge":"No","citation":{"ista":"Masís J, Mankus D, Wolff S, Guitchounts G, Jösch MA, Cox D. 2018. A micro-CT-based method for quantitative brain lesion characterization and electrode localization. Scientific Reports. 8(1), 5184.","chicago":"Masís, Javier, David Mankus, Steffen Wolff, Grigori Guitchounts, Maximilian A Jösch, and David Cox. “A Micro-CT-Based Method for Quantitative Brain Lesion Characterization and Electrode Localization.” <i>Scientific Reports</i>. Nature Publishing Group, 2018. <a href=\"https://doi.org/10.1038/s41598-018-23247-z\">https://doi.org/10.1038/s41598-018-23247-z</a>.","apa":"Masís, J., Mankus, D., Wolff, S., Guitchounts, G., Jösch, M. A., &#38; Cox, D. (2018). A micro-CT-based method for quantitative brain lesion characterization and electrode localization. <i>Scientific Reports</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/s41598-018-23247-z\">https://doi.org/10.1038/s41598-018-23247-z</a>","ama":"Masís J, Mankus D, Wolff S, Guitchounts G, Jösch MA, Cox D. A micro-CT-based method for quantitative brain lesion characterization and electrode localization. <i>Scientific Reports</i>. 2018;8(1). doi:<a href=\"https://doi.org/10.1038/s41598-018-23247-z\">10.1038/s41598-018-23247-z</a>","ieee":"J. Masís, D. Mankus, S. Wolff, G. Guitchounts, M. A. Jösch, and D. Cox, “A micro-CT-based method for quantitative brain lesion characterization and electrode localization,” <i>Scientific Reports</i>, vol. 8, no. 1. Nature Publishing Group, 2018.","mla":"Masís, Javier, et al. “A Micro-CT-Based Method for Quantitative Brain Lesion Characterization and Electrode Localization.” <i>Scientific Reports</i>, vol. 8, no. 1, 5184, Nature Publishing Group, 2018, doi:<a href=\"https://doi.org/10.1038/s41598-018-23247-z\">10.1038/s41598-018-23247-z</a>.","short":"J. Masís, D. Mankus, S. Wolff, G. Guitchounts, M.A. Jösch, D. Cox, Scientific Reports 8 (2018)."},"file_date_updated":"2020-07-14T12:46:23Z","publication":"Scientific Reports","author":[{"first_name":"Javier","last_name":"Masís","full_name":"Masís, Javier"},{"first_name":"David","full_name":"Mankus, David","last_name":"Mankus"},{"first_name":"Steffen","full_name":"Wolff, Steffen","last_name":"Wolff"},{"last_name":"Guitchounts","full_name":"Guitchounts, Grigori","first_name":"Grigori"},{"orcid":"0000-0002-3937-1330","full_name":"Jösch, Maximilian A","last_name":"Jösch","first_name":"Maximilian A","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87"},{"first_name":"David","full_name":"Cox, David","last_name":"Cox"}],"scopus_import":"1","intvolume":"         8","isi":1,"file":[{"file_id":"4831","date_created":"2018-12-12T10:10:42Z","creator":"system","file_name":"IST-2018-994-v1+1_2018_Joesch_A-micro-CT-based.pdf","file_size":2359430,"checksum":"653fcb852f899c75b00ceee2a670d738","content_type":"application/pdf","date_updated":"2020-07-14T12:46:23Z","relation":"main_file","access_level":"open_access"}],"oa":1,"publication_status":"published","external_id":{"isi":["000428234100005"]},"department":[{"_id":"MaJö"}],"date_created":"2018-12-11T11:46:19Z","language":[{"iso":"eng"}],"volume":8,"quality_controlled":"1","abstract":[{"lang":"eng","text":"Lesion verification and quantification is traditionally done via histological examination of sectioned brains, a time-consuming process that relies heavily on manual estimation. Such methods are particularly problematic in posterior cortical regions (e.g. visual cortex), where sectioning leads to significant damage and distortion of tissue. Even more challenging is the post hoc localization of micro-electrodes, which relies on the same techniques, suffers from similar drawbacks and requires even higher precision. Here, we propose a new, simple method for quantitative lesion characterization and electrode localization that is less labor-intensive and yields more detailed results than conventional methods. We leverage staining techniques standard in electron microscopy with the use of commodity micro-CT imaging. We stain whole rat and zebra finch brains in osmium tetroxide, embed these in resin and scan entire brains in a micro-CT machine. The scans result in 3D reconstructions of the brains with section thickness dependent on sample size (12–15 and 5–6 microns for rat and zebra finch respectively) that can be segmented manually or automatically. Because the method captures the entire intact brain volume, comparisons within and across studies are more tractable, and the extent of lesions and electrodes may be studied with higher accuracy than with current methods."}],"article_number":"5184"},{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2017-08-11T00:00:00Z","has_accepted_license":"1","year":"2017","oa_version":"Submitted Version","date_updated":"2025-07-10T11:54:34Z","publisher":"Wiley-Blackwell","day":"11","type":"journal_article","issue":"6","status":"public","tmp":{"short":"CC BY-NC (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","image":"/images/cc_by_nc.png"},"publist_id":"6927","doi":"10.1002/wdev.288","article_type":"original","ddc":["570"],"article_processing_charge":"No","citation":{"ieee":"R. Shigemoto and M. A. Jösch, “The genetic encoded toolbox for electron microscopy and connectomics,” <i>WIREs Developmental Biology</i>, vol. 6, no. 6. Wiley-Blackwell, 2017.","mla":"Shigemoto, Ryuichi, and Maximilian A. Jösch. “The Genetic Encoded Toolbox for Electron Microscopy and Connectomics.” <i>WIREs Developmental Biology</i>, vol. 6, no. 6, e288, Wiley-Blackwell, 2017, doi:<a href=\"https://doi.org/10.1002/wdev.288\">10.1002/wdev.288</a>.","short":"R. Shigemoto, M.A. Jösch, WIREs Developmental Biology 6 (2017).","chicago":"Shigemoto, Ryuichi, and Maximilian A Jösch. “The Genetic Encoded Toolbox for Electron Microscopy and Connectomics.” <i>WIREs Developmental Biology</i>. Wiley-Blackwell, 2017. <a href=\"https://doi.org/10.1002/wdev.288\">https://doi.org/10.1002/wdev.288</a>.","ista":"Shigemoto R, Jösch MA. 2017. The genetic encoded toolbox for electron microscopy and connectomics. WIREs Developmental Biology. 6(6), e288.","ama":"Shigemoto R, Jösch MA. The genetic encoded toolbox for electron microscopy and connectomics. <i>WIREs Developmental Biology</i>. 2017;6(6). doi:<a href=\"https://doi.org/10.1002/wdev.288\">10.1002/wdev.288</a>","apa":"Shigemoto, R., &#38; Jösch, M. A. (2017). The genetic encoded toolbox for electron microscopy and connectomics. <i>WIREs Developmental Biology</i>. Wiley-Blackwell. <a href=\"https://doi.org/10.1002/wdev.288\">https://doi.org/10.1002/wdev.288</a>"},"_id":"740","title":"The genetic encoded toolbox for electron microscopy and connectomics","month":"08","publication":"WIREs Developmental Biology","file_date_updated":"2020-07-14T12:47:57Z","scopus_import":"1","author":[{"id":"499F3ABC-F248-11E8-B48F-1D18A9856A87","first_name":"Ryuichi","full_name":"Shigemoto, Ryuichi","last_name":"Shigemoto","orcid":"0000-0001-8761-9444"},{"full_name":"Jösch, Maximilian A","last_name":"Jösch","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","first_name":"Maximilian A","orcid":"0000-0002-3937-1330"}],"intvolume":"         6","isi":1,"file":[{"file_size":1647787,"date_created":"2019-11-19T07:36:18Z","file_id":"7045","file_name":"2017_WIREs_Shigemoto.pdf","creator":"dernst","date_updated":"2020-07-14T12:47:57Z","checksum":"a9370f27b1591773b7a0de299bc81c8c","content_type":"application/pdf","relation":"main_file","access_level":"open_access"}],"pmid":1,"oa":1,"publication_identifier":{"issn":["1759-7684"]},"department":[{"_id":"RySh"},{"_id":"MaJö"}],"external_id":{"isi":["000412827400005"],"pmid":["28800674"]},"date_created":"2018-12-11T11:48:15Z","corr_author":"1","language":[{"iso":"eng"}],"publication_status":"published","abstract":[{"text":"Developments in bioengineering and molecular biology have introduced a palette of genetically encoded probes for identification of specific cell populations in electron microscopy. These probes can be targeted to distinct cellular compartments, rendering them electron dense through a subsequent chemical reaction. These electron densities strongly increase the local contrast in samples prepared for electron microscopy, allowing three major advances in ultrastructural mapping of circuits: genetic identification of circuit components, targeted imaging of regions of interest and automated analysis of the tagged circuits. Together, the gains from these advances can decrease the time required for the analysis of targeted circuit motifs by over two orders of magnitude. These genetic encoded tags for electron microscopy promise to simplify the analysis of circuit motifs and become a central tool for structure‐function studies of synaptic connections in the brain. We review the current state‐of‐the‐art with an emphasis on connectomics, the quantitative analysis of neuronal structures and motifs.","lang":"eng"}],"article_number":"e288","volume":6,"quality_controlled":"1"},{"author":[{"orcid":"0000-0002-3937-1330","full_name":"Maximilian Jösch","last_name":"Jösch","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","first_name":"Maximilian A"},{"last_name":"Meister","full_name":"Meister, Markus","first_name":"Markus"}],"publication":"Nature","page":"236 - 239","intvolume":"       532","extern":1,"date_published":"2016-04-14T00:00:00Z","date_updated":"2021-01-12T06:49:45Z","year":"2016","issue":"7598","publisher":"Nature Publishing Group","day":"14","type":"journal_article","acknowledgement":"This work was supported by grants to M.M. from the NIH and to M.J. from The International Human Frontier Science Program Organization.","status":"public","date_created":"2018-12-11T11:51:15Z","publist_id":"5966","doi":"10.1038/nature17158","publication_status":"published","abstract":[{"lang":"eng","text":"In bright light, cone-photoreceptors are active and colour vision derives from a comparison of signals in cones with different visual pigments. This comparison begins in the retina, where certain retinal ganglion cells have 'colour-opponent' visual responses-excited by light of one colour and suppressed by another colour. In dim light, rod-photoreceptors are active, but colour vision is impossible because they all use the same visual pigment. Instead, the rod signals are thought to splice into retinal circuits at various points, in synergy with the cone signals. Here we report a new circuit for colour vision that challenges these expectations. A genetically identified type of mouse retinal ganglion cell called JAMB (J-RGC), was found to have colour-opponent responses, OFF to ultraviolet (UV) light and ON to green light. Although the mouse retina contains a green-sensitive cone, the ON response instead originates in rods. Rods and cones both contribute to the response over several decades of light intensity. Remarkably, the rod signal in this circuit is antagonistic to that from cones. For rodents, this UV-green channel may play a role in social communication, as suggested by spectral measurements from the environment. In the human retina, all of the components for this circuit exist as well, and its function can explain certain experiences of colour in dim lights, such as a 'blue shift' in twilight. The discovery of this genetically defined pathway will enable new targeted studies of colour processing in the brain."}],"citation":{"chicago":"Jösch, Maximilian A, and Markus Meister. “A Neuronal Circuit for Colour Vision Based on Rod-Cone Opponency.” <i>Nature</i>. Nature Publishing Group, 2016. <a href=\"https://doi.org/10.1038/nature17158\">https://doi.org/10.1038/nature17158</a>.","ista":"Jösch MA, Meister M. 2016. A neuronal circuit for colour vision based on rod-cone opponency. Nature. 532(7598), 236–239.","ama":"Jösch MA, Meister M. A neuronal circuit for colour vision based on rod-cone opponency. <i>Nature</i>. 2016;532(7598):236-239. doi:<a href=\"https://doi.org/10.1038/nature17158\">10.1038/nature17158</a>","apa":"Jösch, M. A., &#38; Meister, M. (2016). A neuronal circuit for colour vision based on rod-cone opponency. <i>Nature</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/nature17158\">https://doi.org/10.1038/nature17158</a>","ieee":"M. A. Jösch and M. Meister, “A neuronal circuit for colour vision based on rod-cone opponency,” <i>Nature</i>, vol. 532, no. 7598. Nature Publishing Group, pp. 236–239, 2016.","short":"M.A. Jösch, M. Meister, Nature 532 (2016) 236–239.","mla":"Jösch, Maximilian A., and Markus Meister. “A Neuronal Circuit for Colour Vision Based on Rod-Cone Opponency.” <i>Nature</i>, vol. 532, no. 7598, Nature Publishing Group, 2016, pp. 236–39, doi:<a href=\"https://doi.org/10.1038/nature17158\">10.1038/nature17158</a>."},"_id":"1303","volume":532,"month":"04","quality_controlled":0,"title":"A neuronal circuit for colour vision based on rod-cone opponency"},{"publication_status":"published","date_created":"2018-12-11T11:51:16Z","doi":"10.7554/eLife.15015","publist_id":"5965","volume":5,"_id":"1306","month":"07","title":"Reconstruction of genetically identified neurons imaged by serial-section electron microscopy","quality_controlled":0,"abstract":[{"text":"Resolving patterns of synaptic connectivity in neural circuits currently requires serial section electron microscopy. However, complete circuit reconstruction is prohibitively slow and may not be necessary for many purposes such as comparing neuronal structure and connectivity among multiple animals. Here, we present an alternative strategy, targeted reconstruction of specific neuronal types. We used viral vectors to deliver peroxidase derivatives, which catalyze production of an electron-dense tracer, to genetically identify neurons, and developed a protocol that enhances the electron-density of the labeled cells while retaining the quality of the ultrastructure. The high contrast of the marked neurons enabled two innovations that speed data acquisition: targeted high-resolution reimaging of regions selected from rapidly-acquired lower resolution reconstruction, and an unsupervised segmentation algorithm. This pipeline reduces imaging and reconstruction times by two orders of magnitude, facilitating directed inquiry of circuit motifs.","lang":"eng"}],"citation":{"ama":"Jösch MA, Mankus D, Yamagata M, et al. Reconstruction of genetically identified neurons imaged by serial-section electron microscopy. <i>eLife</i>. 2016;5(2016JULY). doi:<a href=\"https://doi.org/10.7554/eLife.15015\">10.7554/eLife.15015</a>","apa":"Jösch, M. A., Mankus, D., Yamagata, M., Shahbazi, A., Schalek, R., Suissa Peleg, A., … Sanes, J. (2016). Reconstruction of genetically identified neurons imaged by serial-section electron microscopy. <i>ELife</i>. eLife Sciences Publications. <a href=\"https://doi.org/10.7554/eLife.15015\">https://doi.org/10.7554/eLife.15015</a>","chicago":"Jösch, Maximilian A, David Mankus, Masahito Yamagata, Ali Shahbazi, Richard Schalek, Adi Suissa Peleg, Markus Meister, Jeff Lichtman, Walter Scheirer, and Joshua Sanes. “Reconstruction of Genetically Identified Neurons Imaged by Serial-Section Electron Microscopy.” <i>ELife</i>. eLife Sciences Publications, 2016. <a href=\"https://doi.org/10.7554/eLife.15015\">https://doi.org/10.7554/eLife.15015</a>.","ista":"Jösch MA, Mankus D, Yamagata M, Shahbazi A, Schalek R, Suissa Peleg A, Meister M, Lichtman J, Scheirer W, Sanes J. 2016. Reconstruction of genetically identified neurons imaged by serial-section electron microscopy. eLife. 5(2016JULY).","mla":"Jösch, Maximilian A., et al. “Reconstruction of Genetically Identified Neurons Imaged by Serial-Section Electron Microscopy.” <i>ELife</i>, vol. 5, no. 2016JULY, eLife Sciences Publications, 2016, doi:<a href=\"https://doi.org/10.7554/eLife.15015\">10.7554/eLife.15015</a>.","short":"M.A. Jösch, D. Mankus, M. Yamagata, A. Shahbazi, R. Schalek, A. Suissa Peleg, M. Meister, J. Lichtman, W. Scheirer, J. Sanes, ELife 5 (2016).","ieee":"M. A. Jösch <i>et al.</i>, “Reconstruction of genetically identified neurons imaged by serial-section electron microscopy,” <i>eLife</i>, vol. 5, no. 2016JULY. eLife Sciences Publications, 2016."},"date_published":"2016-07-07T00:00:00Z","date_updated":"2021-01-12T06:49:46Z","year":"2016","author":[{"full_name":"Maximilian Jösch","last_name":"Jösch","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","first_name":"Maximilian A","orcid":"0000-0002-3937-1330"},{"full_name":"Mankus, David","last_name":"Mankus","first_name":"David"},{"first_name":"Masahito","full_name":"Yamagata, Masahito","last_name":"Yamagata"},{"first_name":"Ali","full_name":"Shahbazi, Ali","last_name":"Shahbazi"},{"first_name":"Richard","last_name":"Schalek","full_name":"Schalek, Richard L"},{"first_name":"Adi","full_name":"Suissa-Peleg, Adi","last_name":"Suissa Peleg"},{"last_name":"Meister","full_name":"Meister, Markus","first_name":"Markus"},{"full_name":"Lichtman, Jeff W","last_name":"Lichtman","first_name":"Jeff"},{"first_name":"Walter","last_name":"Scheirer","full_name":"Scheirer, Walter J"},{"first_name":"Joshua","last_name":"Sanes","full_name":"Sanes, Joshua R"}],"publication":"eLife","intvolume":"         5","extern":1,"status":"public","acknowledgement":"This work was supported by NIH grant NS76467 to MM, JL and JRS, an HHMI Collaborative Innovation Award to JRS, an IARPA contract #D16PC00002 to WJS and by The International Human Frontier Science Program Organization fellowship to MJ.","tmp":{"short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"issue":"2016JULY","publisher":"eLife Sciences Publications","day":"07","type":"journal_article"},{"acknowledgement":"This work was supported by the Max Planck Society. ","status":"public","issue":"34","publisher":"Society for Neuroscience","day":"01","type":"journal_article","date_published":"2013-01-01T00:00:00Z","date_updated":"2021-01-12T06:49:45Z","year":"2013","author":[{"full_name":"Haikala, Väinö","last_name":"Haikala","first_name":"Väinö"},{"id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","first_name":"Maximilian A","last_name":"Jösch","full_name":"Maximilian Jösch","orcid":"0000-0002-3937-1330"},{"last_name":"Borst","full_name":"Borst, Alexander","first_name":"Alexander"},{"first_name":"Alex","full_name":"Mauss, Alex S","last_name":"Mauss"}],"publication":"Journal of Neuroscience","page":"13927 - 13934","intvolume":"        33","extern":1,"_id":"1304","volume":33,"month":"01","title":"Optogenetic control of fly optomotor responses","quality_controlled":0,"abstract":[{"text":"When confronted with a large-field stimulus rotating around the vertical body axis, flies display a following behavior called &quot;optomotor response.&quot; As neural control elements, the large tangential horizontal system (HS) cells of the lobula plate have been prime candidates for long. Here, we applied optogenetic stimulation of HS cells to evaluate their behavioral role in Drosophila. To minimize interference of the optical activation of channelrhodopsin-2 with the visual perception of the flies, we used a bistable variant called ChR2-C128S. By applying pulses of blue and yellow light, we first demonstrate electrophysiologically that lobula plate tangential cells can be activated and deactivated repeatedly with no evident change in depolarization strength over trials. We next show that selective optogenetic activation of HS cells elicits robust yaw head movements and yaw turning responses in fixed and tethered flying flies, respectively.","lang":"eng"}],"citation":{"ieee":"V. Haikala, M. A. Jösch, A. Borst, and A. Mauss, “Optogenetic control of fly optomotor responses,” <i>Journal of Neuroscience</i>, vol. 33, no. 34. Society for Neuroscience, pp. 13927–13934, 2013.","short":"V. Haikala, M.A. Jösch, A. Borst, A. Mauss, Journal of Neuroscience 33 (2013) 13927–13934.","mla":"Haikala, Väinö, et al. “Optogenetic Control of Fly Optomotor Responses.” <i>Journal of Neuroscience</i>, vol. 33, no. 34, Society for Neuroscience, 2013, pp. 13927–34, doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.0340-13.2013\">10.1523/JNEUROSCI.0340-13.2013</a>.","chicago":"Haikala, Väinö, Maximilian A Jösch, Alexander Borst, and Alex Mauss. “Optogenetic Control of Fly Optomotor Responses.” <i>Journal of Neuroscience</i>. Society for Neuroscience, 2013. <a href=\"https://doi.org/10.1523/JNEUROSCI.0340-13.2013\">https://doi.org/10.1523/JNEUROSCI.0340-13.2013</a>.","ista":"Haikala V, Jösch MA, Borst A, Mauss A. 2013. Optogenetic control of fly optomotor responses. Journal of Neuroscience. 33(34), 13927–13934.","ama":"Haikala V, Jösch MA, Borst A, Mauss A. Optogenetic control of fly optomotor responses. <i>Journal of Neuroscience</i>. 2013;33(34):13927-13934. doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.0340-13.2013\">10.1523/JNEUROSCI.0340-13.2013</a>","apa":"Haikala, V., Jösch, M. A., Borst, A., &#38; Mauss, A. (2013). Optogenetic control of fly optomotor responses. <i>Journal of Neuroscience</i>. Society for Neuroscience. <a href=\"https://doi.org/10.1523/JNEUROSCI.0340-13.2013\">https://doi.org/10.1523/JNEUROSCI.0340-13.2013</a>"},"publication_status":"published","date_created":"2018-12-11T11:51:16Z","publist_id":"5967","doi":"10.1523/JNEUROSCI.0340-13.2013"},{"status":"public","acknowledgement":"This work was supported by the Max-Planck-Society and the SFB 870 of the Deutsche Forschungsgemeinschaft.","issue":"3","type":"journal_article","day":"16","publisher":"Society for Neuroscience","date_updated":"2021-01-12T06:49:45Z","year":"2013","date_published":"2013-01-16T00:00:00Z","intvolume":"        33","page":"902 - 905","extern":1,"author":[{"id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","first_name":"Maximilian A","last_name":"Jösch","full_name":"Maximilian Jösch","orcid":"0000-0002-3937-1330"},{"first_name":"Franz","last_name":"Weber","full_name":"Weber, Franz"},{"full_name":"Eichner, Hubert","last_name":"Eichner","first_name":"Hubert"},{"first_name":"Alexander","last_name":"Borst","full_name":"Borst, Alexander"}],"publication":"Journal of Neuroscience","month":"01","title":"Functional specialization of parallel motion detection circuits in the fly","quality_controlled":0,"_id":"1305","volume":33,"citation":{"ama":"Jösch MA, Weber F, Eichner H, Borst A. Functional specialization of parallel motion detection circuits in the fly. <i>Journal of Neuroscience</i>. 2013;33(3):902-905. doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.3374-12.2013\">10.1523/JNEUROSCI.3374-12.2013</a>","apa":"Jösch, M. A., Weber, F., Eichner, H., &#38; Borst, A. (2013). Functional specialization of parallel motion detection circuits in the fly. <i>Journal of Neuroscience</i>. Society for Neuroscience. <a href=\"https://doi.org/10.1523/JNEUROSCI.3374-12.2013\">https://doi.org/10.1523/JNEUROSCI.3374-12.2013</a>","chicago":"Jösch, Maximilian A, Franz Weber, Hubert Eichner, and Alexander Borst. “Functional Specialization of Parallel Motion Detection Circuits in the Fly.” <i>Journal of Neuroscience</i>. Society for Neuroscience, 2013. <a href=\"https://doi.org/10.1523/JNEUROSCI.3374-12.2013\">https://doi.org/10.1523/JNEUROSCI.3374-12.2013</a>.","ista":"Jösch MA, Weber F, Eichner H, Borst A. 2013. Functional specialization of parallel motion detection circuits in the fly. Journal of Neuroscience. 33(3), 902–905.","mla":"Jösch, Maximilian A., et al. “Functional Specialization of Parallel Motion Detection Circuits in the Fly.” <i>Journal of Neuroscience</i>, vol. 33, no. 3, Society for Neuroscience, 2013, pp. 902–05, doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.3374-12.2013\">10.1523/JNEUROSCI.3374-12.2013</a>.","short":"M.A. Jösch, F. Weber, H. Eichner, A. Borst, Journal of Neuroscience 33 (2013) 902–905.","ieee":"M. A. Jösch, F. Weber, H. Eichner, and A. Borst, “Functional specialization of parallel motion detection circuits in the fly,” <i>Journal of Neuroscience</i>, vol. 33, no. 3. Society for Neuroscience, pp. 902–905, 2013."},"abstract":[{"lang":"eng","text":"In the fly Drosophila melanogaster, photoreceptor input to motion vision is split into two parallel pathways as represented by first-order interneurons L1 and L2 (Rister et al., 2007; Joesch et al., 2010). However, how these pathways are functionally specialized remains controversial. One study (Eichner et al., 2011) proposed that the L1-pathway evaluates only sequences of brightness increments (ON-ON), while the L2-pathway processes exclusively brightness decrements (OFF-OFF). Another study (Clark et al., 2011) proposed that each of the two pathways evaluates both ON-ON and OFF-OFF sequences. To decide between these alternatives, we recorded from motionsensitive neurons in flies in which the output from either L1 or L2 was genetically blocked. We found that blocking L1 abolishes ON-ON responses but leaves OFF-OFF responses intact. The opposite was true, when the output from L2 was blocked. We conclude that the L1 and L2 pathways are functionally specialized to detect ON-ON and OFF-OFF sequences, respectively."}],"publication_status":"published","publist_id":"5968","doi":"10.1523/JNEUROSCI.3374-12.2013","date_created":"2018-12-11T11:51:16Z"},{"day":"23","type":"journal_article","publisher":"Elsevier","issue":"6","status":"public","extern":1,"intvolume":"        70","page":"1155 - 1164","author":[{"first_name":"Hubert","full_name":"Eichner, Hubert","last_name":"Eichner"},{"orcid":"0000-0002-3937-1330","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","first_name":"Maximilian A","last_name":"Jösch","full_name":"Maximilian Jösch"},{"full_name":"Schnell, Bettina","last_name":"Schnell","first_name":"Bettina"},{"last_name":"Reiff","full_name":"Reiff, Dierk F","first_name":"Dierk"},{"first_name":"Alexander","full_name":"Borst, Alexander","last_name":"Borst"}],"publication":"Neuron","year":"2011","date_updated":"2021-01-12T06:49:43Z","date_published":"2011-06-23T00:00:00Z","citation":{"short":"H. Eichner, M.A. Jösch, B. Schnell, D. Reiff, A. Borst, Neuron 70 (2011) 1155–1164.","mla":"Eichner, Hubert, et al. “Internal Structure of the Fly Elementary Motion Detector.” <i>Neuron</i>, vol. 70, no. 6, Elsevier, 2011, pp. 1155–64, doi:<a href=\"https://doi.org/10.1016/j.neuron.2011.03.028\">10.1016/j.neuron.2011.03.028</a>.","ieee":"H. Eichner, M. A. Jösch, B. Schnell, D. Reiff, and A. Borst, “Internal structure of the fly elementary motion detector,” <i>Neuron</i>, vol. 70, no. 6. Elsevier, pp. 1155–1164, 2011.","ama":"Eichner H, Jösch MA, Schnell B, Reiff D, Borst A. Internal structure of the fly elementary motion detector. <i>Neuron</i>. 2011;70(6):1155-1164. doi:<a href=\"https://doi.org/10.1016/j.neuron.2011.03.028\">10.1016/j.neuron.2011.03.028</a>","apa":"Eichner, H., Jösch, M. A., Schnell, B., Reiff, D., &#38; Borst, A. (2011). Internal structure of the fly elementary motion detector. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2011.03.028\">https://doi.org/10.1016/j.neuron.2011.03.028</a>","chicago":"Eichner, Hubert, Maximilian A Jösch, Bettina Schnell, Dierk Reiff, and Alexander Borst. “Internal Structure of the Fly Elementary Motion Detector.” <i>Neuron</i>. Elsevier, 2011. <a href=\"https://doi.org/10.1016/j.neuron.2011.03.028\">https://doi.org/10.1016/j.neuron.2011.03.028</a>.","ista":"Eichner H, Jösch MA, Schnell B, Reiff D, Borst A. 2011. Internal structure of the fly elementary motion detector. Neuron. 70(6), 1155–1164."},"abstract":[{"lang":"eng","text":"Recent experiments have shown that motion detection in Drosophila starts with splitting the visual input into two parallel channels encoding brightness increments (ON) or decrements (OFF). This suggests the existence of either two (ON-ON, OFF-OFF) or four (for all pairwise interactions) separate motion detectors. To decide between these possibilities, we stimulated flies using sequences of ON and OFF brightness pulses while recording from motion-sensitive tangential cells. We found direction-selective responses to sequences of same sign (ON-ON, OFF-OFF), but not of opposite sign (ON-OFF, OFF-ON), refuting the existence of four separate detectors. Based on further measurements, we propose a model that reproduces a variety of additional experimental data sets, including ones that were previously interpreted as support for four separate detectors. Our experiments and the derived model mark an important step in guiding further dissection of the fly motion detection circuit."}],"quality_controlled":0,"title":"Internal structure of the fly elementary motion detector","month":"06","_id":"1299","volume":70,"doi":"10.1016/j.neuron.2011.03.028","publist_id":"5969","date_created":"2018-12-11T11:51:14Z","publication_status":"published"},{"title":"ON and off pathways in Drosophila motion vision","quality_controlled":0,"month":"11","volume":468,"_id":"1300","citation":{"ieee":"M. A. Jösch, B. Schnell, S. Raghu, D. Reiff, and A. Borst, “ON and off pathways in Drosophila motion vision,” <i>Nature</i>, vol. 468, no. 7321. Nature Publishing Group, pp. 300–304, 2010.","mla":"Jösch, Maximilian A., et al. “ON and off Pathways in Drosophila Motion Vision.” <i>Nature</i>, vol. 468, no. 7321, Nature Publishing Group, 2010, pp. 300–04, doi:<a href=\"https://doi.org/10.1038/nature09545\">10.1038/nature09545</a>.","short":"M.A. Jösch, B. Schnell, S. Raghu, D. Reiff, A. Borst, Nature 468 (2010) 300–304.","ista":"Jösch MA, Schnell B, Raghu S, Reiff D, Borst A. 2010. ON and off pathways in Drosophila motion vision. Nature. 468(7321), 300–304.","chicago":"Jösch, Maximilian A, Bettina Schnell, Shamprasad Raghu, Dierk Reiff, and Alexander Borst. “ON and off Pathways in Drosophila Motion Vision.” <i>Nature</i>. Nature Publishing Group, 2010. <a href=\"https://doi.org/10.1038/nature09545\">https://doi.org/10.1038/nature09545</a>.","apa":"Jösch, M. A., Schnell, B., Raghu, S., Reiff, D., &#38; Borst, A. (2010). ON and off pathways in Drosophila motion vision. <i>Nature</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/nature09545\">https://doi.org/10.1038/nature09545</a>","ama":"Jösch MA, Schnell B, Raghu S, Reiff D, Borst A. ON and off pathways in Drosophila motion vision. <i>Nature</i>. 2010;468(7321):300-304. doi:<a href=\"https://doi.org/10.1038/nature09545\">10.1038/nature09545</a>"},"abstract":[{"lang":"eng","text":"Motion vision is a major function of all visual systems, yet the underlying neural mechanisms and circuits are still elusive. In the lamina, the first optic neuropile of Drosophila melanogaster, photoreceptor signals split into five parallel pathways, L1-L5. Here we examine how these pathways contribute to visual motion detection by combining genetic block and reconstitution of neural activity in different lamina cell types with whole-cell recordings from downstream motion-sensitive neurons. We find reduced responses to moving gratings if L1 or L2 is blocked; however, reconstitution of photoreceptor input to only L1 or L2 results in wild-type responses. Thus, the first experiment indicates the necessity of both pathways, whereas the second indicates sufficiency of each single pathway. This contradiction can be explained by electrical coupling between L1 and L2, allowing for activation of both pathways even when only one of them receives photoreceptor input. A fundamental difference between the L1 pathway and the L2 pathway is uncovered when blocking L1 or L2 output while presenting moving edges of positive (ON) or negative (OFF) contrast polarity: blocking L1 eliminates the response to moving ON edges, whereas blocking L2 eliminates the response to moving OFF edges. Thus, similar to the segregation of photoreceptor signals in ON and OFF bipolar cell pathways in the vertebrate retina, photoreceptor signals segregate into ON-L1 and OFF-L2 channels in the lamina of Drosophila."}],"publication_status":"published","doi":"10.1038/nature09545","publist_id":"5970","date_created":"2018-12-11T11:51:14Z","status":"public","type":"journal_article","publisher":"Nature Publishing Group","day":"11","issue":"7321","year":"2010","date_updated":"2021-01-12T06:49:44Z","date_published":"2010-11-11T00:00:00Z","extern":1,"intvolume":"       468","page":"300 - 304","author":[{"orcid":"0000-0002-3937-1330","last_name":"Jösch","full_name":"Maximilian Jösch","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","first_name":"Maximilian A"},{"full_name":"Schnell, Bettina","last_name":"Schnell","first_name":"Bettina"},{"last_name":"Raghu","full_name":"Raghu, Shamprasad V","first_name":"Shamprasad"},{"last_name":"Reiff","full_name":"Reiff, Dierk F","first_name":"Dierk"},{"full_name":"Borst, Alexander","last_name":"Borst","first_name":"Alexander"}],"publication":"Nature"}]