[{"file":[{"file_name":"IST-2016-470-v1+1_1-s2.0-S2211124715010220-main.pdf","file_size":2314406,"creator":"system","access_level":"open_access","relation":"main_file","date_created":"2018-12-12T10:13:23Z","file_id":"5005","content_type":"application/pdf","checksum":"44d30fbb543774b076b4938bd36af9d7","date_updated":"2020-07-14T12:45:07Z"}],"title":"Perturbed hippocampal synaptic inhibition and γ-oscillations in a neuroligin-4 knockout mouse model of autism","quality_controlled":"1","abstract":[{"lang":"eng","text":"Loss-of-function mutations in the synaptic adhesion protein Neuroligin-4 are among the most common genetic abnormalities associated with autism spectrum disorders, but little is known about the function of Neuroligin-4 and the consequences of its loss. We assessed synaptic and network characteristics in Neuroligin-4 knockout mice, focusing on the hippocampus as a model brain region with a critical role in cognition and memory, and found that Neuroligin-4 deletion causes subtle defects of the protein composition and function of GABAergic synapses in the hippocampal CA3 region. Interestingly, these subtle synaptic changes are accompanied by pronounced perturbations of γ-oscillatory network activity, which has been implicated in cognitive function and is altered in multiple psychiatric and neurodevelopmental disorders. Our data provide important insights into the mechanisms by which Neuroligin-4-dependent GABAergic synapses may contribute to autism phenotypes and indicate new strategies for therapeutic approaches."}],"publisher":"Cell Press","oa":1,"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"status":"public","doi":"10.1016/j.celrep.2015.09.011","date_updated":"2025-09-23T09:48:31Z","file_date_updated":"2020-07-14T12:45:07Z","publist_id":"5551","year":"2015","_id":"1615","external_id":{"isi":["000363780000008"]},"date_published":"2015-10-20T00:00:00Z","date_created":"2018-12-11T11:53:02Z","publication":"Cell Reports","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","type":"journal_article","day":"20","article_processing_charge":"No","issue":"3","citation":{"ista":"Hammer M, Krueger Burg D, Tuffy L, Cooper B, Taschenberger H, Goswami S, Ehrenreich H, Jonas PM, Varoqueaux F, Rhee J, Brose N. 2015. Perturbed hippocampal synaptic inhibition and γ-oscillations in a neuroligin-4 knockout mouse model of autism. Cell Reports. 13(3), 516–523.","mla":"Hammer, Matthieu, et al. “Perturbed Hippocampal Synaptic Inhibition and γ-Oscillations in a Neuroligin-4 Knockout Mouse Model of Autism.” <i>Cell Reports</i>, vol. 13, no. 3, Cell Press, 2015, pp. 516–23, doi:<a href=\"https://doi.org/10.1016/j.celrep.2015.09.011\">10.1016/j.celrep.2015.09.011</a>.","ieee":"M. Hammer <i>et al.</i>, “Perturbed hippocampal synaptic inhibition and γ-oscillations in a neuroligin-4 knockout mouse model of autism,” <i>Cell Reports</i>, vol. 13, no. 3. Cell Press, pp. 516–523, 2015.","chicago":"Hammer, Matthieu, Dilja Krueger Burg, Liam Tuffy, Benjamin Cooper, Holger Taschenberger, Sarit Goswami, Hannelore Ehrenreich, et al. “Perturbed Hippocampal Synaptic Inhibition and γ-Oscillations in a Neuroligin-4 Knockout Mouse Model of Autism.” <i>Cell Reports</i>. Cell Press, 2015. <a href=\"https://doi.org/10.1016/j.celrep.2015.09.011\">https://doi.org/10.1016/j.celrep.2015.09.011</a>.","short":"M. Hammer, D. Krueger Burg, L. Tuffy, B. Cooper, H. Taschenberger, S. Goswami, H. Ehrenreich, P.M. Jonas, F. Varoqueaux, J. Rhee, N. Brose, Cell Reports 13 (2015) 516–523.","apa":"Hammer, M., Krueger Burg, D., Tuffy, L., Cooper, B., Taschenberger, H., Goswami, S., … Brose, N. (2015). Perturbed hippocampal synaptic inhibition and γ-oscillations in a neuroligin-4 knockout mouse model of autism. <i>Cell Reports</i>. Cell Press. <a href=\"https://doi.org/10.1016/j.celrep.2015.09.011\">https://doi.org/10.1016/j.celrep.2015.09.011</a>","ama":"Hammer M, Krueger Burg D, Tuffy L, et al. Perturbed hippocampal synaptic inhibition and γ-oscillations in a neuroligin-4 knockout mouse model of autism. <i>Cell Reports</i>. 2015;13(3):516-523. doi:<a href=\"https://doi.org/10.1016/j.celrep.2015.09.011\">10.1016/j.celrep.2015.09.011</a>"},"has_accepted_license":"1","oa_version":"Published Version","page":"516 - 523","language":[{"iso":"eng"}],"pubrep_id":"470","volume":13,"month":"10","department":[{"_id":"PeJo"}],"author":[{"first_name":"Matthieu","last_name":"Hammer","full_name":"Hammer, Matthieu"},{"first_name":"Dilja","full_name":"Krueger Burg, Dilja","last_name":"Krueger Burg"},{"first_name":"Liam","full_name":"Tuffy, Liam","last_name":"Tuffy"},{"first_name":"Benjamin","last_name":"Cooper","full_name":"Cooper, Benjamin"},{"full_name":"Taschenberger, Holger","last_name":"Taschenberger","first_name":"Holger"},{"id":"3A578F32-F248-11E8-B48F-1D18A9856A87","first_name":"Sarit","full_name":"Goswami, Sarit","last_name":"Goswami"},{"full_name":"Ehrenreich, Hannelore","last_name":"Ehrenreich","first_name":"Hannelore"},{"first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","last_name":"Jonas","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804"},{"full_name":"Varoqueaux, Frederique","last_name":"Varoqueaux","first_name":"Frederique"},{"first_name":"Jeong","full_name":"Rhee, Jeong","last_name":"Rhee"},{"last_name":"Brose","full_name":"Brose, Nils","first_name":"Nils"}],"publication_status":"published","isi":1,"acknowledgement":"This work was supported by the Max Planck Society (N.B. and H.E.), the European Commission (EU-AIMS FP7-115300, N.B. and H.E.; Marie Curie IRG, D.K.-B.), the German Research Foundation (CNMPB, N.B., H.E., and F.V.), the Alexander von Humboldt-Foundation (D.K.-B.), and the Austrian Fond zur Förderung der Wissenschaftlichen Forschung (P 24909-B24, P.J.). M.H. was a student of the doctoral program Molecular Physiology of the Brain. Dr. J.-M. Fritschy generously provided the GABAARγ2 antibody. We thank F. Benseler, I. Thanhäuser, D. Schwerdtfeger, A. Ronnenberg, and D. Winkler for valuable advice and excellent technical support. We are grateful to the staff at the animal facility of the Max Planck Institute of Experimental Medicine for mouse husbandry.","scopus_import":"1","ddc":["570"],"intvolume":"        13"},{"quality_controlled":"1","title":"Excitement about inhibitory presynaptic terminals","abstract":[{"text":"Based on extrapolation from excitatory synapses, it is often assumed that depletion of the releasable pool of synaptic vesicles is the main factor underlying depression at inhibitory synapses. In this issue of Neuron, using subcellular patch-clamp recording from inhibitory presynaptic terminals, Kawaguchi and Sakaba (2015) show that at Purkinje cell-deep cerebellar nuclei neuron synapses, changes in presynaptic action potential waveform substantially contribute to synaptic depression. Based on extrapolation from excitatory synapses, it is often assumed that depletion of the releasable pool of synaptic vesicles is the main factor underlying depression at inhibitory synapses. In this issue of Neuron, using subcellular patch-clamp recording from inhibitory presynaptic terminals, Kawaguchi and Sakaba (2015) show that at Purkinje cell-deep cerebellar nuclei neuron synapses, changes in presynaptic action potential waveform substantially contribute to synaptic depression.","lang":"eng"}],"publisher":"Elsevier","file":[{"access_level":"open_access","creator":"system","file_size":411832,"date_created":"2018-12-12T10:16:07Z","relation":"main_file","file_name":"IST-2017-822-v1+1_Perspective_Fig__Final.pdf","date_updated":"2020-07-14T12:45:19Z","content_type":"application/pdf","file_id":"5192","checksum":"d1808550e376a0eca2a950fda017cfa6"},{"checksum":"a279f4ae61e6c8f33d68f69a0d02097d","content_type":"application/pdf","file_id":"5193","date_updated":"2020-07-14T12:45:19Z","file_name":"IST-2017-822-v1+2_Perspective_Final2.pdf","access_level":"open_access","creator":"system","file_size":100769,"relation":"main_file","date_created":"2018-12-12T10:16:07Z"}],"tmp":{"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)","short":"CC BY-NC (4.0)","image":"/images/cc_by_nc.png"},"oa":1,"status":"public","date_updated":"2025-09-23T08:44:39Z","doi":"10.1016/j.neuron.2015.03.006","publist_id":"5256","year":"2015","file_date_updated":"2020-07-14T12:45:19Z","date_created":"2018-12-11T11:54:19Z","_id":"1845","external_id":{"isi":["000351319000002"]},"date_published":"2015-03-18T00:00:00Z","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","type":"journal_article","publication":"Neuron","day":"18","article_processing_charge":"No","citation":{"ista":"Vandael DH, Espinoza Martinez C, Jonas PM. 2015. Excitement about inhibitory presynaptic terminals. Neuron. 85(6), 1149–1151.","mla":"Vandael, David H., et al. “Excitement about Inhibitory Presynaptic Terminals.” <i>Neuron</i>, vol. 85, no. 6, Elsevier, 2015, pp. 1149–51, doi:<a href=\"https://doi.org/10.1016/j.neuron.2015.03.006\">10.1016/j.neuron.2015.03.006</a>.","chicago":"Vandael, David H, Claudia  Espinoza Martinez, and Peter M Jonas. “Excitement about Inhibitory Presynaptic Terminals.” <i>Neuron</i>. Elsevier, 2015. <a href=\"https://doi.org/10.1016/j.neuron.2015.03.006\">https://doi.org/10.1016/j.neuron.2015.03.006</a>.","ieee":"D. H. Vandael, C. Espinoza Martinez, and P. M. Jonas, “Excitement about inhibitory presynaptic terminals,” <i>Neuron</i>, vol. 85, no. 6. Elsevier, pp. 1149–1151, 2015.","short":"D.H. Vandael, C. Espinoza Martinez, P.M. Jonas, Neuron 85 (2015) 1149–1151.","apa":"Vandael, D. H., Espinoza Martinez, C., &#38; Jonas, P. M. (2015). Excitement about inhibitory presynaptic terminals. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2015.03.006\">https://doi.org/10.1016/j.neuron.2015.03.006</a>","ama":"Vandael DH, Espinoza Martinez C, Jonas PM. Excitement about inhibitory presynaptic terminals. <i>Neuron</i>. 2015;85(6):1149-1151. doi:<a href=\"https://doi.org/10.1016/j.neuron.2015.03.006\">10.1016/j.neuron.2015.03.006</a>"},"corr_author":"1","issue":"6","has_accepted_license":"1","language":[{"iso":"eng"}],"oa_version":"Published Version","page":"1149 - 1151","pubrep_id":"822","department":[{"_id":"PeJo"}],"author":[{"last_name":"Vandael","full_name":"Vandael, David H","orcid":"0000-0001-7577-1676","id":"3AE48E0A-F248-11E8-B48F-1D18A9856A87","first_name":"David H"},{"first_name":"Claudia ","id":"31FFEE2E-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-4710-2082","full_name":"Espinoza Martinez, Claudia ","last_name":"Espinoza Martinez"},{"id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","last_name":"Jonas"}],"publication_status":"published","isi":1,"volume":85,"month":"03","scopus_import":"1","ddc":["570"],"intvolume":"        85"},{"file":[{"date_updated":"2020-07-14T12:45:18Z","checksum":"53e16bd3fc2ae2c0d7de9164626c37aa","file_id":"5057","content_type":"application/pdf","access_level":"open_access","file_size":1146814,"creator":"system","date_created":"2018-12-12T10:14:08Z","relation":"main_file","file_name":"IST-2016-456-v1+1_ASN_Neuro-2015-Chen-.pdf"}],"publisher":"SAGE Publications","title":"Low-dose sevoflurane promoteshippocampal neurogenesis and facilitates the development of dentate gyrus-dependent learning in neonatal rats","quality_controlled":"1","abstract":[{"lang":"eng","text":"Huge body of evidences demonstrated that volatile anesthetics affect the hippocampal neurogenesis and neurocognitive functions, and most of them showed impairment at anesthetic dose. Here, we investigated the effect of low dose (1.8%) sevoflurane on hippocampal neurogenesis and dentate gyrus-dependent learning. Neonatal rats at postnatal day 4 to 6 (P4-6) were treated with 1.8% sevoflurane for 6 hours. Neurogenesis was quantified by bromodeoxyuridine labeling and electrophysiology recording. Four and seven weeks after treatment, the Morris water maze and contextual-fear discrimination learning tests were performed to determine the influence on spatial learning and pattern separation. A 6-hour treatment with 1.8% sevoflurane promoted hippocampal neurogenesis and increased the survival of newborn cells and the proportion of immature granular cells in the dentate gyrus of neonatal rats. Sevoflurane-treated rats performed better during the training days of the Morris water maze test and in contextual-fear discrimination learning test. These results suggest that a subanesthetic dose of sevoflurane promotes hippocampal neurogenesis in neonatal rats and facilitates their performance in dentate gyrus-dependent learning tasks."}],"doi":"10.1177/1759091415575845","status":"public","date_updated":"2025-09-23T09:31:50Z","oa":1,"tmp":{"name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","legal_code_url":"https://creativecommons.org/licenses/by/3.0/legalcode","image":"/images/cc_by.png","short":"CC BY (3.0)"},"article_type":"original","date_published":"2015-04-13T00:00:00Z","_id":"1834","external_id":{"isi":["000353223200002"]},"date_created":"2018-12-11T11:54:16Z","license":"https://creativecommons.org/licenses/by/3.0/","file_date_updated":"2020-07-14T12:45:18Z","year":"2015","publist_id":"5269","article_processing_charge":"No","day":"13","publication":"ASN Neuro","type":"journal_article","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","has_accepted_license":"1","issue":"2","citation":{"chicago":"Chen, Chong, Chao Wang, Xuan Zhao, Tao Zhou, Dao Xu, Zhi Wang, and Ying Wang. “Low-Dose Sevoflurane Promoteshippocampal Neurogenesis and Facilitates the Development of Dentate Gyrus-Dependent Learning in Neonatal Rats.” <i>ASN Neuro</i>. SAGE Publications, 2015. <a href=\"https://doi.org/10.1177/1759091415575845\">https://doi.org/10.1177/1759091415575845</a>.","ieee":"C. Chen <i>et al.</i>, “Low-dose sevoflurane promoteshippocampal neurogenesis and facilitates the development of dentate gyrus-dependent learning in neonatal rats,” <i>ASN Neuro</i>, vol. 7, no. 2. SAGE Publications, 2015.","mla":"Chen, Chong, et al. “Low-Dose Sevoflurane Promoteshippocampal Neurogenesis and Facilitates the Development of Dentate Gyrus-Dependent Learning in Neonatal Rats.” <i>ASN Neuro</i>, vol. 7, no. 2, SAGE Publications, 2015, doi:<a href=\"https://doi.org/10.1177/1759091415575845\">10.1177/1759091415575845</a>.","ista":"Chen C, Wang C, Zhao X, Zhou T, Xu D, Wang Z, Wang Y. 2015. Low-dose sevoflurane promoteshippocampal neurogenesis and facilitates the development of dentate gyrus-dependent learning in neonatal rats. ASN Neuro. 7(2).","ama":"Chen C, Wang C, Zhao X, et al. Low-dose sevoflurane promoteshippocampal neurogenesis and facilitates the development of dentate gyrus-dependent learning in neonatal rats. <i>ASN Neuro</i>. 2015;7(2). doi:<a href=\"https://doi.org/10.1177/1759091415575845\">10.1177/1759091415575845</a>","apa":"Chen, C., Wang, C., Zhao, X., Zhou, T., Xu, D., Wang, Z., &#38; Wang, Y. (2015). Low-dose sevoflurane promoteshippocampal neurogenesis and facilitates the development of dentate gyrus-dependent learning in neonatal rats. <i>ASN Neuro</i>. SAGE Publications. <a href=\"https://doi.org/10.1177/1759091415575845\">https://doi.org/10.1177/1759091415575845</a>","short":"C. Chen, C. Wang, X. Zhao, T. Zhou, D. Xu, Z. Wang, Y. Wang, ASN Neuro 7 (2015)."},"pubrep_id":"456","oa_version":"Published Version","language":[{"iso":"eng"}],"ddc":["570"],"intvolume":"         7","scopus_import":"1","volume":7,"month":"04","publication_status":"published","isi":1,"department":[{"_id":"PeJo"}],"author":[{"last_name":"Chen","full_name":"Chen, Chong","first_name":"Chong","id":"3DFD581A-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Chao","last_name":"Wang","full_name":"Wang, Chao"},{"first_name":"Xuan","last_name":"Zhao","full_name":"Zhao, Xuan"},{"first_name":"Tao","last_name":"Zhou","full_name":"Zhou, Tao"},{"first_name":"Dao","last_name":"Xu","full_name":"Xu, Dao"},{"last_name":"Wang","full_name":"Wang, Zhi","first_name":"Zhi"},{"full_name":"Wang, Ying","last_name":"Wang","first_name":"Ying"}]},{"scopus_import":"1","intvolume":"        17","department":[{"_id":"PeJo"}],"author":[{"full_name":"Hu, Hua","last_name":"Hu","first_name":"Hua","id":"4AC0145C-F248-11E8-B48F-1D18A9856A87"},{"id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","last_name":"Jonas"}],"publication_status":"published","isi":1,"month":"03","volume":17,"language":[{"iso":"eng"}],"oa_version":"Submitted Version","page":"686-693","ec_funded":1,"citation":{"ieee":"H. Hu and P. M. Jonas, “A supercritical density of Na^+ channels ensures fast signaling in GABAergic interneuron axons,” <i>Nature Neuroscience</i>, vol. 17, no. 5. Nature Publishing Group, pp. 686–693, 2014.","chicago":"Hu, Hua, and Peter M Jonas. “A Supercritical Density of Na^+ Channels Ensures Fast Signaling in GABAergic Interneuron Axons.” <i>Nature Neuroscience</i>. Nature Publishing Group, 2014. <a href=\"https://doi.org/10.1038/nn.3678\">https://doi.org/10.1038/nn.3678</a>.","mla":"Hu, Hua, and Peter M. Jonas. “A Supercritical Density of Na^+ Channels Ensures Fast Signaling in GABAergic Interneuron Axons.” <i>Nature Neuroscience</i>, vol. 17, no. 5, Nature Publishing Group, 2014, pp. 686–93, doi:<a href=\"https://doi.org/10.1038/nn.3678\">10.1038/nn.3678</a>.","ista":"Hu H, Jonas PM. 2014. A supercritical density of Na^+ channels ensures fast signaling in GABAergic interneuron axons. Nature Neuroscience. 17(5), 686–693.","ama":"Hu H, Jonas PM. A supercritical density of Na^+ channels ensures fast signaling in GABAergic interneuron axons. <i>Nature Neuroscience</i>. 2014;17(5):686-693. doi:<a href=\"https://doi.org/10.1038/nn.3678\">10.1038/nn.3678</a>","apa":"Hu, H., &#38; Jonas, P. M. (2014). A supercritical density of Na^+ channels ensures fast signaling in GABAergic interneuron axons. <i>Nature Neuroscience</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/nn.3678\">https://doi.org/10.1038/nn.3678</a>","short":"H. Hu, P.M. Jonas, Nature Neuroscience 17 (2014) 686–693."},"corr_author":"1","issue":"5","day":"23","article_processing_charge":"No","type":"journal_article","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","publication":"Nature Neuroscience","date_created":"2018-12-11T11:56:26Z","external_id":{"isi":["000335016200012"]},"_id":"2228","date_published":"2014-03-23T00:00:00Z","publist_id":"4733","year":"2014","doi":"10.1038/nn.3678","status":"public","date_updated":"2025-09-29T11:25:07Z","project":[{"call_identifier":"FP7","grant_number":"268548","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons","_id":"25C0F108-B435-11E9-9278-68D0E5697425"},{"_id":"25C26B1E-B435-11E9-9278-68D0E5697425","grant_number":"P24909-B24","name":"Mechanisms of transmitter release at GABAergic synapses","call_identifier":"FWF"}],"oa":1,"title":"A supercritical density of Na^+ channels ensures fast signaling in GABAergic interneuron axons","abstract":[{"text":"Fast-spiking, parvalbumin-expressing GABAergic interneurons, a large proportion of which are basket cells (BCs), have a key role in feedforward and feedback inhibition, gamma oscillations and complex information processing. For these functions, fast propagation of action potentials (APs) from the soma to the presynaptic terminals is important. However, the functional properties of interneuron axons remain elusive. We examined interneuron axons by confocally targeted subcellular patch-clamp recording in rat hippocampal slices. APs were initiated in the proximal axon ∼20 μm from the soma and propagated to the distal axon with high reliability and speed. Subcellular mapping revealed a stepwise increase of Na^+ conductance density from the soma to the proximal axon, followed by a further gradual increase in the distal axon. Active cable modeling and experiments with partial channel block revealed that low axonal Na^+ conductance density was sufficient for reliability, but high Na^+ density was necessary for both speed of propagation and fast-spiking AP phenotype. Our results suggest that a supercritical density of Na^+ channels compensates for the morphological properties of interneuron axons (small segmental diameter, extensive branching and high bouton density), ensuring fast AP propagation and high-frequency repetitive firing.","lang":"eng"}],"quality_controlled":"1","publisher":"Nature Publishing Group","publication_identifier":{"issn":["1097-6256"]},"main_file_link":[{"open_access":"1","url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4286295/"}]},{"ec_funded":1,"issue":"6171","citation":{"ama":"Vyleta N, Jonas PM. Loose coupling between Ca^2+ channels and release sensors at a plastic hippocampal synapse. <i>Science</i>. 2014;343(6171):665-670. doi:<a href=\"https://doi.org/10.1126/science.1244811\">10.1126/science.1244811</a>","apa":"Vyleta, N., &#38; Jonas, P. M. (2014). Loose coupling between Ca^2+ channels and release sensors at a plastic hippocampal synapse. <i>Science</i>. American Association for the Advancement of Science. <a href=\"https://doi.org/10.1126/science.1244811\">https://doi.org/10.1126/science.1244811</a>","short":"N. Vyleta, P.M. Jonas, Science 343 (2014) 665–670.","ieee":"N. Vyleta and P. M. Jonas, “Loose coupling between Ca^2+ channels and release sensors at a plastic hippocampal synapse,” <i>Science</i>, vol. 343, no. 6171. American Association for the Advancement of Science, pp. 665–670, 2014.","chicago":"Vyleta, Nicholas, and Peter M Jonas. “Loose Coupling between Ca^2+ Channels and Release Sensors at a Plastic Hippocampal Synapse.” <i>Science</i>. American Association for the Advancement of Science, 2014. <a href=\"https://doi.org/10.1126/science.1244811\">https://doi.org/10.1126/science.1244811</a>.","mla":"Vyleta, Nicholas, and Peter M. Jonas. “Loose Coupling between Ca^2+ Channels and Release Sensors at a Plastic Hippocampal Synapse.” <i>Science</i>, vol. 343, no. 6171, American Association for the Advancement of Science, 2014, pp. 665–70, doi:<a href=\"https://doi.org/10.1126/science.1244811\">10.1126/science.1244811</a>.","ista":"Vyleta N, Jonas PM. 2014. Loose coupling between Ca^2+ channels and release sensors at a plastic hippocampal synapse. Science. 343(6171), 665–670."},"corr_author":"1","scopus_import":"1","intvolume":"       343","month":"02","volume":343,"department":[{"_id":"PeJo"}],"author":[{"first_name":"Nicholas","id":"36C4978E-F248-11E8-B48F-1D18A9856A87","full_name":"Vyleta, Nicholas","last_name":"Vyleta"},{"id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","last_name":"Jonas"}],"publication_status":"published","isi":1,"oa_version":"Submitted Version","page":"665 - 670","language":[{"iso":"eng"}],"date_updated":"2025-09-29T11:24:38Z","status":"public","doi":"10.1126/science.1244811","project":[{"name":"Mechanisms of transmitter release at GABAergic synapses","grant_number":"P24909-B24","_id":"25C26B1E-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"},{"call_identifier":"FP7","_id":"25C0F108-B435-11E9-9278-68D0E5697425","grant_number":"268548","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons"}],"oa":1,"title":"Loose coupling between Ca^2+ channels and release sensors at a plastic hippocampal synapse","abstract":[{"text":"The distance between Ca^2+ channels and release sensors determines the speed and efficacy of synaptic transmission. Tight &quot;nanodomain&quot; channel-sensor coupling initiates transmitter release at synapses in the mature brain, whereas loose &quot;microdomain&quot; coupling appears restricted to early developmental stages. To probe the coupling configuration at a plastic synapse in the mature central nervous system, we performed paired recordings between mossy fiber terminals and CA3 pyramidal neurons in rat hippocampus. Millimolar concentrations of both the fast Ca^2+ chelator BAPTA [1,2-bis(2-aminophenoxy)ethane- N,N, N′,N′-tetraacetic acid] and the slow chelator EGTA efficiently suppressed transmitter release, indicating loose coupling between Ca^2+ channels and release sensors. Loose coupling enabled the control of initial release probability by fast endogenous Ca^2+ buffers and the generation of facilitation by buffer saturation. Thus, loose coupling provides the molecular framework for presynaptic plasticity.","lang":"eng"}],"quality_controlled":"1","publisher":"American Association for the Advancement of Science","main_file_link":[{"open_access":"1","url":"http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3617475/"}],"publication_identifier":{"issn":["0036-8075"]},"day":"01","article_processing_charge":"No","publication":"Science","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","type":"journal_article","_id":"2229","external_id":{"isi":["000330724000044"]},"date_published":"2014-02-01T00:00:00Z","date_created":"2018-12-11T11:56:27Z","publist_id":"4732","year":"2014"},{"type":"journal_article","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","publication":"Frontiers in Neuroinformatics","article_processing_charge":"No","day":"21","year":"2014","publist_id":"4731","file_date_updated":"2020-07-14T12:45:34Z","date_created":"2018-12-11T11:56:27Z","date_published":"2014-02-21T00:00:00Z","external_id":{"isi":["000348105900001"]},"_id":"2230","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"oa":1,"status":"public","date_updated":"2025-09-29T11:24:02Z","doi":"10.3389/fninf.2014.00016","publication_identifier":{"issn":["1662-5196"]},"publisher":"Frontiers Research Foundation","title":"Stimfit: Quantifying electrophysiological data with Python","abstract":[{"lang":"eng","text":"Intracellular electrophysiological recordings provide crucial insights into elementary neuronal signals such as action potentials and synaptic currents. Analyzing and interpreting these signals is essential for a quantitative understanding of neuronal information processing, and requires both fast data visualization and ready access to complex analysis routines. To achieve this goal, we have developed Stimfit, a free software package for cellular neurophysiology with a Python scripting interface and a built-in Python shell. The program supports most standard file formats for cellular neurophysiology and other biomedical signals through the Biosig library. To quantify and interpret the activity of single neurons and communication between neurons, the program includes algorithms to characterize the kinetics of presynaptic action potentials and postsynaptic currents, estimate latencies between pre- and postsynaptic events, and detect spontaneously occurring events. We validate and benchmark these algorithms, give estimation errors, and provide sample use cases, showing that Stimfit represents an efficient, accessible and extensible way to accurately analyze and interpret neuronal signals."}],"quality_controlled":"1","file":[{"content_type":"application/pdf","file_id":"4935","checksum":"eeca00bba7232ff7d27db83321f6ea30","date_updated":"2020-07-14T12:45:34Z","file_name":"IST-2016-425-v1+1_fninf-08-00016.pdf","relation":"main_file","date_created":"2018-12-12T10:12:17Z","creator":"system","access_level":"open_access","file_size":2883372}],"publication_status":"published","isi":1,"author":[{"orcid":"0000-0003-2209-5242","full_name":"Guzmán, José","last_name":"Guzmán","first_name":"José","id":"30CC5506-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Schlögl","full_name":"Schlögl, Alois","orcid":"0000-0002-5621-8100","first_name":"Alois","id":"45BF87EE-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Schmidt Hieber","full_name":"Schmidt Hieber, Christoph","first_name":"Christoph"}],"department":[{"_id":"ScienComp"},{"_id":"PeJo"}],"volume":8,"month":"02","ddc":["570"],"intvolume":"         8","scopus_import":"1","language":[{"iso":"eng"}],"oa_version":"Published Version","pubrep_id":"425","article_number":"16","citation":{"short":"J. Guzmán, A. Schlögl, C. Schmidt Hieber, Frontiers in Neuroinformatics 8 (2014).","apa":"Guzmán, J., Schlögl, A., &#38; Schmidt Hieber, C. (2014). Stimfit: Quantifying electrophysiological data with Python. <i>Frontiers in Neuroinformatics</i>. Frontiers Research Foundation. <a href=\"https://doi.org/10.3389/fninf.2014.00016\">https://doi.org/10.3389/fninf.2014.00016</a>","ama":"Guzmán J, Schlögl A, Schmidt Hieber C. Stimfit: Quantifying electrophysiological data with Python. <i>Frontiers in Neuroinformatics</i>. 2014;8(FEB). doi:<a href=\"https://doi.org/10.3389/fninf.2014.00016\">10.3389/fninf.2014.00016</a>","ista":"Guzmán J, Schlögl A, Schmidt Hieber C. 2014. Stimfit: Quantifying electrophysiological data with Python. Frontiers in Neuroinformatics. 8(FEB), 16.","mla":"Guzmán, José, et al. “Stimfit: Quantifying Electrophysiological Data with Python.” <i>Frontiers in Neuroinformatics</i>, vol. 8, no. FEB, 16, Frontiers Research Foundation, 2014, doi:<a href=\"https://doi.org/10.3389/fninf.2014.00016\">10.3389/fninf.2014.00016</a>.","ieee":"J. Guzmán, A. Schlögl, and C. Schmidt Hieber, “Stimfit: Quantifying electrophysiological data with Python,” <i>Frontiers in Neuroinformatics</i>, vol. 8, no. FEB. Frontiers Research Foundation, 2014.","chicago":"Guzmán, José, Alois Schlögl, and Christoph Schmidt Hieber. “Stimfit: Quantifying Electrophysiological Data with Python.” <i>Frontiers in Neuroinformatics</i>. Frontiers Research Foundation, 2014. <a href=\"https://doi.org/10.3389/fninf.2014.00016\">https://doi.org/10.3389/fninf.2014.00016</a>."},"issue":"FEB","has_accepted_license":"1"},{"publist_id":"4692","year":"2014","file_date_updated":"2020-07-14T12:45:35Z","date_created":"2018-12-11T11:56:35Z","external_id":{"isi":["000329559000015"]},"_id":"2254","date_published":"2014-01-08T00:00:00Z","type":"journal_article","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","publication":"Neuron","day":"08","article_processing_charge":"No","publication_identifier":{"issn":["0896-6273"]},"title":"Theta-gamma-modulated synaptic currents in hippocampal granule cells in vivo define a mechanism for network oscillations","abstract":[{"text":"Theta-gamma network oscillations are thought to represent key reference signals for information processing in neuronal ensembles, but the underlying synaptic mechanisms remain unclear. To address this question, we performed whole-cell (WC) patch-clamp recordings from mature hippocampal granule cells (GCs) in vivo in the dentate gyrus of anesthetized and awake rats. GCs in vivo fired action potentials at low frequency, consistent with sparse coding in the dentate gyrus. GCs were exposed to barrages of fast AMPAR-mediated excitatory postsynaptic currents (EPSCs), primarily relayed from the entorhinal cortex, and inhibitory postsynaptic currents (IPSCs), presumably generated by local interneurons. EPSCs exhibited coherence with the field potential predominantly in the theta frequency band, whereas IPSCs showed coherence primarily in the gamma range. Action potentials in GCs were phase locked to network oscillations. Thus, theta-gamma-modulated synaptic currents may provide a framework for sparse temporal coding of information in the dentate gyrus.","lang":"eng"}],"quality_controlled":"1","publisher":"Elsevier","file":[{"file_size":4373072,"creator":"system","access_level":"open_access","relation":"main_file","date_created":"2018-12-12T10:09:48Z","file_name":"IST-2016-422-v1+1_1-s2.0-S0896627313009227-main.pdf","date_updated":"2020-07-14T12:45:35Z","file_id":"4773","checksum":"438547cfcd9045a22f065f2019f07849","content_type":"application/pdf"}],"oa":1,"date_updated":"2026-04-16T10:08:53Z","doi":"10.1016/j.neuron.2013.09.046","status":"public","project":[{"call_identifier":"FP7","_id":"25C0F108-B435-11E9-9278-68D0E5697425","grant_number":"268548","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons"},{"grant_number":"P24909-B24","name":"Mechanisms of transmitter release at GABAergic synapses","_id":"25C26B1E-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"}],"language":[{"iso":"eng"}],"oa_version":"Published Version","page":"140 - 152","pubrep_id":"422","author":[{"full_name":"Pernia-Andrade, Alejandro","last_name":"Pernia-Andrade","id":"36963E98-F248-11E8-B48F-1D18A9856A87","first_name":"Alejandro"},{"last_name":"Jonas","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M"}],"department":[{"_id":"PeJo"}],"isi":1,"publication_status":"published","volume":81,"month":"01","scopus_import":"1","intvolume":"        81","ddc":["570"],"citation":{"ieee":"A. Pernia-Andrade and P. M. Jonas, “Theta-gamma-modulated synaptic currents in hippocampal granule cells in vivo define a mechanism for network oscillations,” <i>Neuron</i>, vol. 81, no. 1. Elsevier, pp. 140–152, 2014.","chicago":"Pernia-Andrade, Alejandro, and Peter M Jonas. “Theta-Gamma-Modulated Synaptic Currents in Hippocampal Granule Cells in Vivo Define a Mechanism for Network Oscillations.” <i>Neuron</i>. Elsevier, 2014. <a href=\"https://doi.org/10.1016/j.neuron.2013.09.046\">https://doi.org/10.1016/j.neuron.2013.09.046</a>.","mla":"Pernia-Andrade, Alejandro, and Peter M. Jonas. “Theta-Gamma-Modulated Synaptic Currents in Hippocampal Granule Cells in Vivo Define a Mechanism for Network Oscillations.” <i>Neuron</i>, vol. 81, no. 1, Elsevier, 2014, pp. 140–52, doi:<a href=\"https://doi.org/10.1016/j.neuron.2013.09.046\">10.1016/j.neuron.2013.09.046</a>.","ista":"Pernia-Andrade A, Jonas PM. 2014. Theta-gamma-modulated synaptic currents in hippocampal granule cells in vivo define a mechanism for network oscillations. Neuron. 81(1), 140–152.","ama":"Pernia-Andrade A, Jonas PM. Theta-gamma-modulated synaptic currents in hippocampal granule cells in vivo define a mechanism for network oscillations. <i>Neuron</i>. 2014;81(1):140-152. doi:<a href=\"https://doi.org/10.1016/j.neuron.2013.09.046\">10.1016/j.neuron.2013.09.046</a>","apa":"Pernia-Andrade, A., &#38; Jonas, P. M. (2014). Theta-gamma-modulated synaptic currents in hippocampal granule cells in vivo define a mechanism for network oscillations. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2013.09.046\">https://doi.org/10.1016/j.neuron.2013.09.046</a>","short":"A. Pernia-Andrade, P.M. Jonas, Neuron 81 (2014) 140–152."},"corr_author":"1","issue":"1","has_accepted_license":"1","ec_funded":1},{"has_accepted_license":"1","issue":"2","citation":{"ista":"Hosp J, Strüber M, Yanagawa Y, Obata K, Vida I, Jonas PM, Bartos M. 2014. Morpho-physiological criteria divide dentate gyrus interneurons into classes. Hippocampus. 23(2), 189–203.","mla":"Hosp, Jonas, et al. “Morpho-Physiological Criteria Divide Dentate Gyrus Interneurons into Classes.” <i>Hippocampus</i>, vol. 23, no. 2, Wiley-Blackwell, 2014, pp. 189–203, doi:<a href=\"https://doi.org/10.1002/hipo.22214\">10.1002/hipo.22214</a>.","ieee":"J. Hosp <i>et al.</i>, “Morpho-physiological criteria divide dentate gyrus interneurons into classes,” <i>Hippocampus</i>, vol. 23, no. 2. Wiley-Blackwell, pp. 189–203, 2014.","chicago":"Hosp, Jonas, Michael Strüber, Yuchio Yanagawa, Kunihiko Obata, Imre Vida, Peter M Jonas, and Marlene Bartos. “Morpho-Physiological Criteria Divide Dentate Gyrus Interneurons into Classes.” <i>Hippocampus</i>. Wiley-Blackwell, 2014. <a href=\"https://doi.org/10.1002/hipo.22214\">https://doi.org/10.1002/hipo.22214</a>.","short":"J. Hosp, M. Strüber, Y. Yanagawa, K. Obata, I. Vida, P.M. Jonas, M. Bartos, Hippocampus 23 (2014) 189–203.","apa":"Hosp, J., Strüber, M., Yanagawa, Y., Obata, K., Vida, I., Jonas, P. M., &#38; Bartos, M. (2014). Morpho-physiological criteria divide dentate gyrus interneurons into classes. <i>Hippocampus</i>. Wiley-Blackwell. <a href=\"https://doi.org/10.1002/hipo.22214\">https://doi.org/10.1002/hipo.22214</a>","ama":"Hosp J, Strüber M, Yanagawa Y, et al. Morpho-physiological criteria divide dentate gyrus interneurons into classes. <i>Hippocampus</i>. 2014;23(2):189-203. doi:<a href=\"https://doi.org/10.1002/hipo.22214\">10.1002/hipo.22214</a>"},"acknowledgement":"Funded by Deutsche Forschungsgemeinschaft. Grant Numbers: SFB 505, SFB 780, BA1582/2-1 Excellence Initiative of the German Research Foundation (Spemann Graduate School). Grant Number: GSC-4 Lichtenberg Professorship-Award (VW-Foundation); Schram-Foundation; Excellence Initiative Brain Links-Brain Tools. The authors thank Drs. Jonas-Frederic Sauer and Claudio Elgueta for critically reading the manuscript. They also thank Karin Winterhalter, Margit Northemann and Ulrich Nöller for technical assistance.","scopus_import":"1","ddc":["570"],"intvolume":"        23","month":"02","volume":23,"author":[{"first_name":"Jonas","full_name":"Hosp, Jonas","last_name":"Hosp"},{"first_name":"Michael","last_name":"Strüber","full_name":"Strüber, Michael"},{"last_name":"Yanagawa","full_name":"Yanagawa, Yuchio","first_name":"Yuchio"},{"first_name":"Kunihiko","full_name":"Obata, Kunihiko","last_name":"Obata"},{"first_name":"Imre","full_name":"Vida, Imre","last_name":"Vida"},{"first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5001-4804","last_name":"Jonas","full_name":"Jonas, Peter M"},{"last_name":"Bartos","full_name":"Bartos, Marlene","first_name":"Marlene"}],"department":[{"_id":"PeJo"}],"publication_status":"published","isi":1,"pubrep_id":"461","oa_version":"Published Version","page":"189 - 203","language":[{"iso":"eng"}],"date_updated":"2025-09-29T11:11:47Z","status":"public","doi":"10.1002/hipo.22214","oa":1,"tmp":{"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)","short":"CC BY-NC (4.0)","image":"/images/cc_by_nc.png"},"file":[{"file_name":"IST-2016-461-v1+1_Hosp_et_al-2014-Hippocampus.pdf","creator":"system","file_size":801589,"access_level":"open_access","relation":"main_file","date_created":"2018-12-12T10:15:54Z","file_id":"5178","checksum":"ff6bc75a79dbc985a2e31b79253e6444","content_type":"application/pdf","date_updated":"2020-07-14T12:45:37Z"}],"title":"Morpho-physiological criteria divide dentate gyrus interneurons into classes","abstract":[{"lang":"eng","text":"GABAergic inhibitory interneurons control fundamental aspects of neuronal network function. Their functional roles are assumed to be defined by the identity of their input synapses, the architecture of their dendritic tree, the passive and active membrane properties and finally the nature of their postsynaptic targets. Indeed, interneurons display a high degree of morphological and physiological heterogeneity. However, whether their morphological and physiological characteristics are correlated and whether interneuron diversity can be described by a continuum of GABAergic cell types or by distinct classes has remained unclear. Here we perform a detailed morphological and physiological characterization of GABAergic cells in the dentate gyrus, the input region of the hippocampus. To achieve an unbiased and efficient sampling and classification we used knock-in mice expressing the enhanced green fluorescent protein (eGFP) in glutamate decarboxylase 67 (GAD67)-positive neurons and performed cluster analysis. We identified five interneuron classes, each of them characterized by a distinct set of anatomical and physiological parameters. Cross-correlation analysis further revealed a direct relation between morphological and physiological properties indicating that dentate gyrus interneurons fall into functionally distinct classes which may differentially control neuronal network activity."}],"quality_controlled":"1","publisher":"Wiley-Blackwell","day":"01","article_processing_charge":"No","publication":"Hippocampus","type":"journal_article","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","external_id":{"isi":["000329879300006"]},"_id":"2285","date_published":"2014-02-01T00:00:00Z","date_created":"2018-12-11T11:56:46Z","file_date_updated":"2020-07-14T12:45:37Z","publist_id":"4646","year":"2014"},{"issue":"8","citation":{"ama":"Chai X, Münzner G, Zhao S, et al. Epilepsy-induced motility of differentiated neurons. <i>Cerebral Cortex</i>. 2014;24(8):2130-2140. doi:<a href=\"https://doi.org/10.1093/cercor/bht067\">10.1093/cercor/bht067</a>","apa":"Chai, X., Münzner, G., Zhao, S., Tinnes, S., Kowalski, J., Häussler, U., … Frotscher, M. (2014). Epilepsy-induced motility of differentiated neurons. <i>Cerebral Cortex</i>. Oxford University Press. <a href=\"https://doi.org/10.1093/cercor/bht067\">https://doi.org/10.1093/cercor/bht067</a>","short":"X. Chai, G. Münzner, S. Zhao, S. Tinnes, J. Kowalski, U. Häussler, C. Young, C. Haas, M. Frotscher, Cerebral Cortex 24 (2014) 2130–2140.","ieee":"X. Chai <i>et al.</i>, “Epilepsy-induced motility of differentiated neurons,” <i>Cerebral Cortex</i>, vol. 24, no. 8. Oxford University Press, pp. 2130–2140, 2014.","chicago":"Chai, Xuejun, Gert Münzner, Shanting Zhao, Stefanie Tinnes, Janina Kowalski, Ute Häussler, Christina Young, Carola Haas, and Michael Frotscher. “Epilepsy-Induced Motility of Differentiated Neurons.” <i>Cerebral Cortex</i>. Oxford University Press, 2014. <a href=\"https://doi.org/10.1093/cercor/bht067\">https://doi.org/10.1093/cercor/bht067</a>.","mla":"Chai, Xuejun, et al. “Epilepsy-Induced Motility of Differentiated Neurons.” <i>Cerebral Cortex</i>, vol. 24, no. 8, Oxford University Press, 2014, pp. 2130–40, doi:<a href=\"https://doi.org/10.1093/cercor/bht067\">10.1093/cercor/bht067</a>.","ista":"Chai X, Münzner G, Zhao S, Tinnes S, Kowalski J, Häussler U, Young C, Haas C, Frotscher M. 2014. Epilepsy-induced motility of differentiated neurons. Cerebral Cortex. 24(8), 2130–2140."},"page":"2130 - 2140","oa_version":"None","language":[{"iso":"eng"}],"month":"08","volume":24,"isi":1,"publication_status":"published","author":[{"full_name":"Chai, Xuejun","last_name":"Chai","first_name":"Xuejun"},{"first_name":"Gert","last_name":"Münzner","full_name":"Münzner, Gert"},{"last_name":"Zhao","full_name":"Zhao, Shanting","first_name":"Shanting"},{"last_name":"Tinnes","full_name":"Tinnes, Stefanie","first_name":"Stefanie"},{"first_name":"Janina","id":"3F3CA136-F248-11E8-B48F-1D18A9856A87","last_name":"Kowalski","full_name":"Kowalski, Janina"},{"first_name":"Ute","last_name":"Häussler","full_name":"Häussler, Ute"},{"first_name":"Christina","last_name":"Young","full_name":"Young, Christina"},{"last_name":"Haas","full_name":"Haas, Carola","first_name":"Carola"},{"last_name":"Frotscher","full_name":"Frotscher, Michael","first_name":"Michael"}],"department":[{"_id":"PeJo"}],"intvolume":"        24","scopus_import":"1","publisher":"Oxford University Press","quality_controlled":"1","abstract":[{"lang":"eng","text":"Neuronal ectopia, such as granule cell dispersion (GCD) in temporal lobe epilepsy (TLE), has been assumed to result from a migration defect during development. Indeed, recent studies reported that aberrant migration of neonatal-generated dentate granule cells (GCs) increased the risk to develop epilepsy later in life. On the contrary, in the present study, we show that fully differentiated GCs become motile following the induction of epileptiform activity, resulting in GCD. Hippocampal slice cultures from transgenic mice expressing green fluorescent protein in differentiated, but not in newly generated GCs, were incubated with the glutamate receptor agonist kainate (KA), which induced GC burst activity and GCD. Using real-time microscopy, we observed that KA-exposed, differentiated GCs translocated their cell bodies and changed their dendritic organization. As found in human TLE, KA application was associated with decreased expression of the extracellular matrix protein Reelin, particularly in hilar interneurons. Together these findings suggest that KA-induced motility of differentiated GCs contributes to the development of GCD and establish slice cultures as a model to study neuronal changes induced by epileptiform activity. "}],"title":"Epilepsy-induced motility of differentiated neurons","date_updated":"2025-09-29T11:41:17Z","doi":"10.1093/cercor/bht067","status":"public","year":"2014","publist_id":"4820","date_published":"2014-08-01T00:00:00Z","_id":"2164","external_id":{"isi":["000340068500014"]},"date_created":"2018-12-11T11:56:04Z","publication":"Cerebral Cortex","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","type":"journal_article","article_processing_charge":"No","day":"01"},{"citation":{"apa":"Studer, D., Zhao, S., Chai, X., Jonas, P. M., Graber, W., Nestel, S., &#38; Frotscher, M. (2014). Capture of activity-induced ultrastructural changes at synapses by high-pressure freezing of brain tissue. <i>Nature Protocols</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/nprot.2014.099\">https://doi.org/10.1038/nprot.2014.099</a>","ama":"Studer D, Zhao S, Chai X, et al. Capture of activity-induced ultrastructural changes at synapses by high-pressure freezing of brain tissue. <i>Nature Protocols</i>. 2014;9(6):1480-1495. doi:<a href=\"https://doi.org/10.1038/nprot.2014.099\">10.1038/nprot.2014.099</a>","short":"D. Studer, S. Zhao, X. Chai, P.M. Jonas, W. Graber, S. Nestel, M. Frotscher, Nature Protocols 9 (2014) 1480–1495.","mla":"Studer, Daniel, et al. “Capture of Activity-Induced Ultrastructural Changes at Synapses by High-Pressure Freezing of Brain Tissue.” <i>Nature Protocols</i>, vol. 9, no. 6, Nature Publishing Group, 2014, pp. 1480–95, doi:<a href=\"https://doi.org/10.1038/nprot.2014.099\">10.1038/nprot.2014.099</a>.","ieee":"D. Studer <i>et al.</i>, “Capture of activity-induced ultrastructural changes at synapses by high-pressure freezing of brain tissue,” <i>Nature Protocols</i>, vol. 9, no. 6. Nature Publishing Group, pp. 1480–1495, 2014.","chicago":"Studer, Daniel, Shanting Zhao, Xuejun Chai, Peter M Jonas, Werner Graber, Sigrun Nestel, and Michael Frotscher. “Capture of Activity-Induced Ultrastructural Changes at Synapses by High-Pressure Freezing of Brain Tissue.” <i>Nature Protocols</i>. Nature Publishing Group, 2014. <a href=\"https://doi.org/10.1038/nprot.2014.099\">https://doi.org/10.1038/nprot.2014.099</a>.","ista":"Studer D, Zhao S, Chai X, Jonas PM, Graber W, Nestel S, Frotscher M. 2014. Capture of activity-induced ultrastructural changes at synapses by high-pressure freezing of brain tissue. Nature Protocols. 9(6), 1480–1495."},"issue":"6","language":[{"iso":"eng"}],"oa_version":"None","page":"1480 - 1495","author":[{"first_name":"Daniel","full_name":"Studer, Daniel","last_name":"Studer"},{"full_name":"Zhao, Shanting","last_name":"Zhao","first_name":"Shanting"},{"full_name":"Chai, Xuejun","last_name":"Chai","first_name":"Xuejun"},{"first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","last_name":"Jonas","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804"},{"first_name":"Werner","last_name":"Graber","full_name":"Graber, Werner"},{"last_name":"Nestel","full_name":"Nestel, Sigrun","first_name":"Sigrun"},{"full_name":"Frotscher, Michael","last_name":"Frotscher","first_name":"Michael"}],"department":[{"_id":"PeJo"}],"isi":1,"publication_status":"published","month":"05","volume":9,"scopus_import":"1","intvolume":"         9","abstract":[{"text":"Electron microscopy (EM) allows for the simultaneous visualization of all tissue components at high resolution. However, the extent to which conventional aldehyde fixation and ethanol dehydration of the tissue alter the fine structure of cells and organelles, thereby preventing detection of subtle structural changes induced by an experiment, has remained an issue. Attempts have been made to rapidly freeze tissue to preserve native ultrastructure. Shock-freezing of living tissue under high pressure (high-pressure freezing, HPF) followed by cryosubstitution of the tissue water avoids aldehyde fixation and dehydration in ethanol; the tissue water is immobilized in â ̂1/450 ms, and a close-to-native fine structure of cells, organelles and molecules is preserved. Here we describe a protocol for HPF that is useful to monitor ultrastructural changes associated with functional changes at synapses in the brain but can be applied to many other tissues as well. The procedure requires a high-pressure freezer and takes a minimum of 7 d but can be paused at several points.","lang":"eng"}],"quality_controlled":"1","title":"Capture of activity-induced ultrastructural changes at synapses by high-pressure freezing of brain tissue","publisher":"Nature Publishing Group","date_updated":"2025-09-29T11:36:43Z","doi":"10.1038/nprot.2014.099","status":"public","project":[{"grant_number":"SFB-TR3-TP10B","name":"Glutamaterge synaptische Übertragung und Plastizität in hippocampalen Mikroschaltkreisen","_id":"25BDE9A4-B435-11E9-9278-68D0E5697425"}],"publist_id":"4807","year":"2014","date_created":"2018-12-11T11:56:09Z","external_id":{"isi":["000337145800020"]},"_id":"2176","date_published":"2014-05-29T00:00:00Z","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","type":"journal_article","publication":"Nature Protocols","day":"29","article_processing_charge":"No"},{"citation":{"ama":"Körner C, Braunstein V, Stangl M, Schlögl A, Neuper C, Ischebeck A. Sequential effects in continued visual search: Using fixation-related potentials to compare distractor processing before and after target detection. <i>Psychophysiology</i>. 2014;51(4):385-395. doi:<a href=\"https://doi.org/10.1111/psyp.12062\">10.1111/psyp.12062</a>","apa":"Körner, C., Braunstein, V., Stangl, M., Schlögl, A., Neuper, C., &#38; Ischebeck, A. (2014). Sequential effects in continued visual search: Using fixation-related potentials to compare distractor processing before and after target detection. <i>Psychophysiology</i>. Wiley-Blackwell. <a href=\"https://doi.org/10.1111/psyp.12062\">https://doi.org/10.1111/psyp.12062</a>","short":"C. Körner, V. Braunstein, M. Stangl, A. Schlögl, C. Neuper, A. Ischebeck, Psychophysiology 51 (2014) 385–395.","chicago":"Körner, Christof, Verena Braunstein, Matthias Stangl, Alois Schlögl, Christa Neuper, and Anja Ischebeck. “Sequential Effects in Continued Visual Search: Using Fixation-Related Potentials to Compare Distractor Processing before and after Target Detection.” <i>Psychophysiology</i>. Wiley-Blackwell, 2014. <a href=\"https://doi.org/10.1111/psyp.12062\">https://doi.org/10.1111/psyp.12062</a>.","ieee":"C. Körner, V. Braunstein, M. Stangl, A. Schlögl, C. Neuper, and A. Ischebeck, “Sequential effects in continued visual search: Using fixation-related potentials to compare distractor processing before and after target detection,” <i>Psychophysiology</i>, vol. 51, no. 4. Wiley-Blackwell, pp. 385–395, 2014.","mla":"Körner, Christof, et al. “Sequential Effects in Continued Visual Search: Using Fixation-Related Potentials to Compare Distractor Processing before and after Target Detection.” <i>Psychophysiology</i>, vol. 51, no. 4, Wiley-Blackwell, 2014, pp. 385–95, doi:<a href=\"https://doi.org/10.1111/psyp.12062\">10.1111/psyp.12062</a>.","ista":"Körner C, Braunstein V, Stangl M, Schlögl A, Neuper C, Ischebeck A. 2014. Sequential effects in continued visual search: Using fixation-related potentials to compare distractor processing before and after target detection. Psychophysiology. 51(4), 385–395."},"issue":"4","has_accepted_license":"1","language":[{"iso":"eng"}],"page":"385 - 395","oa_version":"Published Version","pubrep_id":"442","publication_status":"published","isi":1,"author":[{"full_name":"Körner, Christof","last_name":"Körner","first_name":"Christof"},{"first_name":"Verena","last_name":"Braunstein","full_name":"Braunstein, Verena"},{"full_name":"Stangl, Matthias","last_name":"Stangl","first_name":"Matthias"},{"first_name":"Alois","id":"45BF87EE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5621-8100","last_name":"Schlögl","full_name":"Schlögl, Alois"},{"first_name":"Christa","full_name":"Neuper, Christa","last_name":"Neuper"},{"first_name":"Anja","last_name":"Ischebeck","full_name":"Ischebeck, Anja"}],"department":[{"_id":"ScienComp"},{"_id":"PeJo"}],"volume":51,"month":"02","ddc":["000"],"intvolume":"        51","scopus_import":"1","acknowledgement":"Funded by Austrian Science Fund (FWF) Grant Number: P 22189-B18; European Union within the 6th Framework Programme Grant Number: 517590; State government of Styria Grant Number: PN 4055","publisher":"Wiley-Blackwell","title":"Sequential effects in continued visual search: Using fixation-related potentials to compare distractor processing before and after target detection","abstract":[{"lang":"eng","text":"To search for a target in a complex environment is an everyday behavior that ends with finding the target. When we search for two identical targets, however, we must continue the search after finding the first target and memorize its location. We used fixation-related potentials to investigate the neural correlates of different stages of the search, that is, before and after finding the first target. Having found the first target influenced subsequent distractor processing. Compared to distractor fixations before the first target fixation, a negative shift was observed for three subsequent distractor fixations. These results suggest that processing a target in continued search modulates the brain's response, either transiently by reflecting temporary working memory processes or permanently by reflecting working memory retention."}],"file":[{"date_updated":"2020-07-14T12:45:20Z","file_id":"5233","checksum":"4255b6185e774acce1d99f8e195c564d","content_type":"application/pdf","relation":"main_file","date_created":"2018-12-12T10:16:44Z","creator":"system","access_level":"open_access","file_size":543243,"file_name":"IST-2016-442-v1+1_K-rner_et_al-2014-Psychophysiology.pdf"}],"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"oa":1,"doi":"10.1111/psyp.12062","status":"public","date_updated":"2025-09-29T13:07:21Z","year":"2014","publist_id":"5205","file_date_updated":"2020-07-14T12:45:20Z","date_created":"2018-12-11T11:54:34Z","date_published":"2014-02-11T00:00:00Z","external_id":{"isi":["000332585900010"]},"_id":"1890","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","type":"journal_article","publication":"Psychophysiology","article_processing_charge":"No","day":"11"},{"scopus_import":"1","ddc":["570"],"intvolume":"         9","department":[{"_id":"PeJo"}],"author":[{"id":"394AB1C8-F248-11E8-B48F-1D18A9856A87","first_name":"Sooyun","full_name":"Kim, Sooyun","last_name":"Kim"}],"isi":1,"publication_status":"published","volume":9,"month":"11","pubrep_id":"434","language":[{"iso":"eng"}],"oa_version":"Published Version","has_accepted_license":"1","ec_funded":1,"citation":{"short":"S. Kim, PLoS One 9 (2014).","apa":"Kim, S. (2014). Action potential modulation in CA1 pyramidal neuron axons facilitates OLM interneuron activation in recurrent inhibitory microcircuits of rat hippocampus. <i>PLoS One</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pone.0113124\">https://doi.org/10.1371/journal.pone.0113124</a>","ama":"Kim S. Action potential modulation in CA1 pyramidal neuron axons facilitates OLM interneuron activation in recurrent inhibitory microcircuits of rat hippocampus. <i>PLoS One</i>. 2014;9(11). doi:<a href=\"https://doi.org/10.1371/journal.pone.0113124\">10.1371/journal.pone.0113124</a>","ista":"Kim S. 2014. Action potential modulation in CA1 pyramidal neuron axons facilitates OLM interneuron activation in recurrent inhibitory microcircuits of rat hippocampus. PLoS One. 9(11), 0113124.","mla":"Kim, Sooyun. “Action Potential Modulation in CA1 Pyramidal Neuron Axons Facilitates OLM Interneuron Activation in Recurrent Inhibitory Microcircuits of Rat Hippocampus.” <i>PLoS One</i>, vol. 9, no. 11, 0113124, Public Library of Science, 2014, doi:<a href=\"https://doi.org/10.1371/journal.pone.0113124\">10.1371/journal.pone.0113124</a>.","chicago":"Kim, Sooyun. “Action Potential Modulation in CA1 Pyramidal Neuron Axons Facilitates OLM Interneuron Activation in Recurrent Inhibitory Microcircuits of Rat Hippocampus.” <i>PLoS One</i>. Public Library of Science, 2014. <a href=\"https://doi.org/10.1371/journal.pone.0113124\">https://doi.org/10.1371/journal.pone.0113124</a>.","ieee":"S. Kim, “Action potential modulation in CA1 pyramidal neuron axons facilitates OLM interneuron activation in recurrent inhibitory microcircuits of rat hippocampus,” <i>PLoS One</i>, vol. 9, no. 11. Public Library of Science, 2014."},"article_number":"0113124","corr_author":"1","issue":"11","day":"19","article_processing_charge":"No","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","type":"journal_article","publication":"PLoS One","license":"https://creativecommons.org/licenses/by-sa/4.0/","date_created":"2018-12-11T11:55:09Z","external_id":{"isi":["000345533200070"]},"_id":"2002","date_published":"2014-11-19T00:00:00Z","publist_id":"5074","year":"2014","file_date_updated":"2020-07-14T12:45:24Z","status":"public","date_updated":"2025-09-29T12:03:47Z","doi":"10.1371/journal.pone.0113124","project":[{"_id":"25C0F108-B435-11E9-9278-68D0E5697425","grant_number":"268548","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons","call_identifier":"FP7"}],"tmp":{"image":"/images/cc_by_sa.png","short":"CC BY-SA (4.0)","legal_code_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","name":"Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0)"},"oa":1,"quality_controlled":"1","abstract":[{"lang":"eng","text":"Oriens-lacunosum moleculare (O-LM) interneurons in the CA1 region of the hippocampus play a key role in feedback inhibition and in the control of network activity. However, how these cells are efficiently activated in the network remains unclear. To address this question, I performed recordings from CA1 pyramidal neuron axons, the presynaptic fibers that provide feedback innervation of these interneurons. Two forms of axonal action potential (AP) modulation were identified. First, repetitive stimulation resulted in activity-dependent AP broadening. Broadening showed fast onset, with marked changes in AP shape following a single AP. Second, tonic depolarization in CA1 pyramidal neuron somata induced AP broadening in the axon, and depolarization-induced broadening summated with activity-dependent broadening. Outsideout patch recordings from CA1 pyramidal neuron axons revealed a high density of a-dendrotoxin (α-DTX)-sensitive, inactivating K+ channels, suggesting that K+ channel inactivation mechanistically contributes to AP broadening. To examine the functional consequences of axonal AP modulation for synaptic transmission, I performed paired recordings between synaptically connected CA1 pyramidal neurons and O-LM interneurons. CA1 pyramidal neuron-O-LM interneuron excitatory postsynaptic currents (EPSCs) showed facilitation during both repetitive stimulation and tonic depolarization of the presynaptic neuron. Both effects were mimicked and occluded by α-DTX, suggesting that they were mediated by K+ channel inactivation. Therefore, axonal AP modulation can greatly facilitate the activation of O-LM interneurons. In conclusion, modulation of AP shape in CA1 pyramidal neuron axons substantially enhances the efficacy of principal neuron-interneuron synapses, promoting the activation of O-LM interneurons in recurrent inhibitory microcircuits."}],"title":"Action potential modulation in CA1 pyramidal neuron axons facilitates OLM interneuron activation in recurrent inhibitory microcircuits of rat hippocampus","publisher":"Public Library of Science","file":[{"file_id":"5107","content_type":"application/pdf","checksum":"85e4f4ea144f827272aaf376b2830564","date_updated":"2020-07-14T12:45:24Z","file_name":"IST-2016-434-v1+1_journal.pone.0113124.pdf","date_created":"2018-12-12T10:14:52Z","relation":"main_file","creator":"system","file_size":5179993,"access_level":"open_access"}]},{"ec_funded":1,"has_accepted_license":"1","corr_author":"1","citation":{"mla":"Arai, itaru, and Peter M. Jonas. “Nanodomain Coupling Explains Ca^2+ Independence of Transmitter Release Time Course at a Fast Central Synapse.” <i>ELife</i>, vol. 3, eLife Sciences Publications, 2014, doi:<a href=\"https://doi.org/10.7554/eLife.04057\">10.7554/eLife.04057</a>.","chicago":"Arai, itaru, and Peter M Jonas. “Nanodomain Coupling Explains Ca^2+ Independence of Transmitter Release Time Course at a Fast Central Synapse.” <i>ELife</i>. eLife Sciences Publications, 2014. <a href=\"https://doi.org/10.7554/eLife.04057\">https://doi.org/10.7554/eLife.04057</a>.","ieee":"itaru Arai and P. M. Jonas, “Nanodomain coupling explains Ca^2+ independence of transmitter release time course at a fast central synapse,” <i>eLife</i>, vol. 3. eLife Sciences Publications, 2014.","ista":"Arai  itaru, Jonas PM. 2014. Nanodomain coupling explains Ca^2+ independence of transmitter release time course at a fast central synapse. eLife. 3.","apa":"Arai,  itaru, &#38; Jonas, P. M. (2014). Nanodomain coupling explains Ca^2+ independence of transmitter release time course at a fast central synapse. <i>ELife</i>. eLife Sciences Publications. <a href=\"https://doi.org/10.7554/eLife.04057\">https://doi.org/10.7554/eLife.04057</a>","ama":"Arai  itaru, Jonas PM. Nanodomain coupling explains Ca^2+ independence of transmitter release time course at a fast central synapse. <i>eLife</i>. 2014;3. doi:<a href=\"https://doi.org/10.7554/eLife.04057\">10.7554/eLife.04057</a>","short":"itaru Arai, P.M. Jonas, ELife 3 (2014)."},"ddc":["570"],"intvolume":"         3","scopus_import":"1","volume":3,"month":"12","isi":1,"publication_status":"published","department":[{"_id":"PeJo"}],"author":[{"id":"32A73F6C-F248-11E8-B48F-1D18A9856A87","first_name":"Itaru","last_name":"Arai","full_name":"Arai, Itaru"},{"orcid":"0000-0001-5001-4804","last_name":"Jonas","full_name":"Jonas, Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M"}],"pubrep_id":"421","oa_version":"Submitted Version","language":[{"iso":"eng"}],"project":[{"call_identifier":"FWF","name":"Mechanisms of transmitter release at GABAergic synapses","grant_number":"P24909-B24","_id":"25C26B1E-B435-11E9-9278-68D0E5697425"},{"call_identifier":"FP7","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons","grant_number":"268548","_id":"25C0F108-B435-11E9-9278-68D0E5697425"}],"doi":"10.7554/eLife.04057","status":"public","date_updated":"2025-09-29T11:55:24Z","oa":1,"file":[{"date_updated":"2020-07-14T12:45:26Z","content_type":"application/pdf","checksum":"c240f915450d4ebe8f95043a2a8c7b1a","file_id":"5094","file_size":2239563,"creator":"system","access_level":"open_access","date_created":"2018-12-12T10:14:41Z","relation":"main_file","file_name":"IST-2016-421-v1+1_e04057.full.pdf"}],"publisher":"eLife Sciences Publications","title":"Nanodomain coupling explains Ca^2+ independence of transmitter release time course at a fast central synapse","abstract":[{"text":"A puzzling property of synaptic transmission, originally established at the neuromuscular junction, is that the time course of transmitter release is independent of the extracellular Ca2+ concentration ([Ca2+]o), whereas the rate of release is highly [Ca2+]o-dependent. Here, we examine the time course of release at inhibitory basket cell-Purkinje cell synapses and show that it is independent of [Ca2+]o. Modeling of Ca2+-dependent transmitter release suggests that the invariant time course of release critically depends on tight coupling between Ca2+ channels and release sensors. Experiments with exogenous Ca2+ chelators reveal that channel-sensor coupling at basket cell-Purkinje cell synapses is very tight, with a mean distance of 10–20 nm. Thus, tight channel-sensor coupling provides a mechanistic explanation for the apparent [Ca2+]o independence of the time course of release.","lang":"eng"}],"quality_controlled":"1","article_processing_charge":"No","day":"09","publication":"eLife","type":"journal_article","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","date_published":"2014-12-09T00:00:00Z","external_id":{"isi":["000346170300007"]},"_id":"2031","date_created":"2018-12-11T11:55:19Z","file_date_updated":"2020-07-14T12:45:26Z","year":"2014","publist_id":"5041"},{"citation":{"ama":"Jonas PM, Lisman J. Structure, function and plasticity of hippocampal dentate gyrus microcircuits. <i>Frontiers in Neural Circuits</i>. 2014;8. doi:<a href=\"https://doi.org/10.3389/fncir.2014.00107\">10.3389/fncir.2014.00107</a>","apa":"Jonas, P. M., &#38; Lisman, J. (2014). Structure, function and plasticity of hippocampal dentate gyrus microcircuits. <i>Frontiers in Neural Circuits</i>. Frontiers Research Foundation. <a href=\"https://doi.org/10.3389/fncir.2014.00107\">https://doi.org/10.3389/fncir.2014.00107</a>","short":"P.M. Jonas, J. Lisman, Frontiers in Neural Circuits 8 (2014).","chicago":"Jonas, Peter M, and John Lisman. “Structure, Function and Plasticity of Hippocampal Dentate Gyrus Microcircuits.” <i>Frontiers in Neural Circuits</i>. Frontiers Research Foundation, 2014. <a href=\"https://doi.org/10.3389/fncir.2014.00107\">https://doi.org/10.3389/fncir.2014.00107</a>.","ieee":"P. M. Jonas and J. Lisman, “Structure, function and plasticity of hippocampal dentate gyrus microcircuits,” <i>Frontiers in Neural Circuits</i>, vol. 8. Frontiers Research Foundation, 2014.","mla":"Jonas, Peter M., and John Lisman. “Structure, Function and Plasticity of Hippocampal Dentate Gyrus Microcircuits.” <i>Frontiers in Neural Circuits</i>, vol. 8, 2p, Frontiers Research Foundation, 2014, doi:<a href=\"https://doi.org/10.3389/fncir.2014.00107\">10.3389/fncir.2014.00107</a>.","ista":"Jonas PM, Lisman J. 2014. Structure, function and plasticity of hippocampal dentate gyrus microcircuits. Frontiers in Neural Circuits. 8, 2p."},"corr_author":"1","article_number":"2p","has_accepted_license":"1","author":[{"orcid":"0000-0001-5001-4804","last_name":"Jonas","full_name":"Jonas, Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M"},{"last_name":"Lisman","full_name":"Lisman, John","first_name":"John"}],"department":[{"_id":"PeJo"}],"isi":1,"publication_status":"published","month":"09","volume":8,"scopus_import":"1","ddc":["570"],"intvolume":"         8","language":[{"iso":"eng"}],"oa_version":"Published Version","pubrep_id":"424","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"oa":1,"date_updated":"2025-09-29T11:52:44Z","status":"public","doi":"10.3389/fncir.2014.00107","quality_controlled":"1","title":"Structure, function and plasticity of hippocampal dentate gyrus microcircuits","abstract":[{"lang":"eng","text":"The hippocampus mediates several higher brain functions, such as learning, memory, and spatial coding. The input region of the hippocampus, the dentate gyrus, plays a critical role in these processes. Several lines of evidence suggest that the dentate gyrus acts as a preprocessor of incoming information, preparing it for subsequent processing in CA3. For example, the dentate gyrus converts input from the entorhinal cortex, where cells have multiple spatial fields, into the spatially more specific place cell activity characteristic of the CA3 region. Furthermore, the dentate gyrus is involved in pattern separation, transforming relatively similar input patterns into substantially different output patterns. Finally, the dentate gyrus produces a very sparse coding scheme in which only a very small fraction of neurons are active at any one time."}],"publisher":"Frontiers Research Foundation","file":[{"file_id":"5294","checksum":"3ca57b164045523f876407e9f13a9fb8","content_type":"application/pdf","date_updated":"2020-07-14T12:45:26Z","file_name":"IST-2016-424-v1+1_fncir-08-00107.pdf","date_created":"2018-12-12T10:17:38Z","relation":"main_file","file_size":201110,"access_level":"open_access","creator":"system"}],"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","type":"journal_article","publication":"Frontiers in Neural Circuits","day":"10","article_processing_charge":"No","publist_id":"5010","year":"2014","file_date_updated":"2020-07-14T12:45:26Z","date_created":"2018-12-11T11:55:22Z","external_id":{"isi":["000341953300001"]},"_id":"2041","date_published":"2014-09-10T00:00:00Z"},{"type":"journal_article","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","publication":"Science","day":"01","article_processing_charge":"No","publist_id":"4984","year":"2014","file_date_updated":"2020-07-14T12:45:27Z","date_created":"2018-12-11T11:55:29Z","_id":"2062","external_id":{"isi":["000339651300036"]},"date_published":"2014-08-01T00:00:00Z","oa":1,"status":"public","doi":"10.1126/science.1255263","date_updated":"2025-09-29T11:48:03Z","project":[{"_id":"25C26B1E-B435-11E9-9278-68D0E5697425","grant_number":"P24909-B24","name":"Mechanisms of transmitter release at GABAergic synapses","call_identifier":"FWF"},{"_id":"25C0F108-B435-11E9-9278-68D0E5697425","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons","grant_number":"268548","call_identifier":"FP7"}],"title":"Fast-spiking parvalbumin^+ GABAergic interneurons: From cellular design to microcircuit function","quality_controlled":"1","abstract":[{"text":"The success story of fast-spiking, parvalbumin-positive (PV+) GABAergic interneurons (GABA, γ-aminobutyric acid) in the mammalian central nervous system is noteworthy. In 1995, the properties of these interneurons were completely unknown. Twenty years later, thanks to the massive use of subcellular patch-clamp techniques, simultaneous multiple-cell recording, optogenetics, in vivo measurements, and computational approaches, our knowledge about PV+ interneurons became more extensive than for several types of pyramidal neurons. These findings have implications beyond the “small world” of basic research on GABAergic cells. For example, the results provide a first proof of principle that neuroscientists might be able to close the gaps between the molecular, cellular, network, and behavioral levels, representing one of the main challenges at the present time. Furthermore, the results may form the basis for PV+ interneurons as therapeutic targets for brain disease in the future. However, much needs to be learned about the basic function of these interneurons before clinical neuroscientists will be able to use PV+ interneurons for therapeutic purposes.","lang":"eng"}],"publisher":"American Association for the Advancement of Science","file":[{"access_level":"open_access","file_size":215514,"creator":"system","relation":"main_file","date_created":"2018-12-12T10:16:00Z","file_name":"IST-2017-821-v1+1_1255263JonasPVReviewTextR_Final.pdf","date_updated":"2020-07-14T12:45:27Z","content_type":"application/pdf","file_id":"5185","checksum":"a0036a589037d37e86364fa25cc0a82f"},{"file_id":"5186","checksum":"e1f57d2713725449cb898fdcb8ef47b8","content_type":"application/pdf","date_updated":"2020-07-14T12:45:27Z","file_name":"IST-2017-821-v1+2_1255263JonasPVReviewFigures_Final.pdf","access_level":"open_access","file_size":1732723,"creator":"system","relation":"main_file","date_created":"2018-12-12T10:16:01Z"}],"department":[{"_id":"PeJo"}],"author":[{"id":"4AC0145C-F248-11E8-B48F-1D18A9856A87","first_name":"Hua","last_name":"Hu","full_name":"Hu, Hua"},{"last_name":"Gan","full_name":"Gan, Jian","id":"3614E438-F248-11E8-B48F-1D18A9856A87","first_name":"Jian"},{"id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M","orcid":"0000-0001-5001-4804","last_name":"Jonas","full_name":"Jonas, Peter M"}],"isi":1,"publication_status":"published","month":"08","volume":345,"scopus_import":"1","ddc":["570"],"intvolume":"       345","language":[{"iso":"eng"}],"oa_version":"Submitted Version","pubrep_id":"821","citation":{"apa":"Hu, H., Gan, J., &#38; Jonas, P. M. (2014). Fast-spiking parvalbumin^+ GABAergic interneurons: From cellular design to microcircuit function. <i>Science</i>. American Association for the Advancement of Science. <a href=\"https://doi.org/10.1126/science.1255263\">https://doi.org/10.1126/science.1255263</a>","ama":"Hu H, Gan J, Jonas PM. Fast-spiking parvalbumin^+ GABAergic interneurons: From cellular design to microcircuit function. <i>Science</i>. 2014;345(6196). doi:<a href=\"https://doi.org/10.1126/science.1255263\">10.1126/science.1255263</a>","short":"H. Hu, J. Gan, P.M. Jonas, Science 345 (2014).","mla":"Hu, Hua, et al. “Fast-Spiking Parvalbumin^+ GABAergic Interneurons: From Cellular Design to Microcircuit Function.” <i>Science</i>, vol. 345, no. 6196, 1255263, American Association for the Advancement of Science, 2014, doi:<a href=\"https://doi.org/10.1126/science.1255263\">10.1126/science.1255263</a>.","ieee":"H. Hu, J. Gan, and P. M. Jonas, “Fast-spiking parvalbumin^+ GABAergic interneurons: From cellular design to microcircuit function,” <i>Science</i>, vol. 345, no. 6196. American Association for the Advancement of Science, 2014.","chicago":"Hu, Hua, Jian Gan, and Peter M Jonas. “Fast-Spiking Parvalbumin^+ GABAergic Interneurons: From Cellular Design to Microcircuit Function.” <i>Science</i>. American Association for the Advancement of Science, 2014. <a href=\"https://doi.org/10.1126/science.1255263\">https://doi.org/10.1126/science.1255263</a>.","ista":"Hu H, Gan J, Jonas PM. 2014. Fast-spiking parvalbumin^+ GABAergic interneurons: From cellular design to microcircuit function. Science. 345(6196), 1255263."},"article_number":"1255263","corr_author":"1","issue":"6196","has_accepted_license":"1","ec_funded":1},{"date_created":"2021-12-01T14:35:35Z","pmid":1,"_id":"10396","external_id":{"pmid":["24042795"],"isi":["000497714000034"]},"date_published":"2013-08-01T00:00:00Z","year":"2013","file_date_updated":"2021-12-01T14:38:08Z","day":"01","article_processing_charge":"No","type":"journal_article","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","publication":"Biomedical Engineering / Biomedizinische Technik","abstract":[{"text":"Stimfit is a free cross-platform software package for viewing and analyzing electrophysiological data. It supports most standard file types for cellular neurophysiology and other biomedical formats. Its analysis algorithms have been used and validated in several experimental laboratories. Its embedded Python scripting interface makes Stimfit highly extensible and customizable.","lang":"eng"}],"title":"Stimfit: A fast visualization and analysis environment for cellular neurophysiology","quality_controlled":"1","publisher":"De Gruyter","file":[{"date_updated":"2021-12-01T14:38:08Z","success":1,"checksum":"cdfc5339b530a25d6079f7223f0b1f16","file_id":"10397","content_type":"application/pdf","relation":"main_file","date_created":"2021-12-01T14:38:08Z","creator":"schloegl","file_size":149825,"access_level":"open_access","file_name":"Schloegl_Abstract-BMT2013.pdf"}],"publication_identifier":{"issn":["0013-5585"],"eissn":["1862-278X"]},"doi":"10.1515/bmt-2013-4181","date_updated":"2025-09-30T07:31:23Z","status":"public","keyword":["biomedical engineering","data analysis","free software"],"article_type":"original","oa":1,"language":[{"iso":"eng"}],"oa_version":"Submitted Version","intvolume":"        58","ddc":["005","610"],"department":[{"_id":"PeJo"}],"author":[{"first_name":"Alois","id":"45BF87EE-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-5621-8100","last_name":"Schlögl","full_name":"Schlögl, Alois"},{"orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","last_name":"Jonas","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M"},{"first_name":"C.","full_name":"Schmidt-Hieber, C.","last_name":"Schmidt-Hieber"},{"first_name":"S. J.","full_name":"Guzman, S. J.","last_name":"Guzman"}],"conference":{"name":"BMT: Biomedizinische Technik ","location":"Graz, Austria","start_date":"2013-09-19","end_date":"2013-09-21"},"isi":1,"publication_status":"published","volume":58,"month":"08","has_accepted_license":"1","citation":{"short":"A. Schlögl, P.M. Jonas, C. Schmidt-Hieber, S.J. Guzman, Biomedical Engineering / Biomedizinische Technik 58 (2013).","ama":"Schlögl A, Jonas PM, Schmidt-Hieber C, Guzman SJ. Stimfit: A fast visualization and analysis environment for cellular neurophysiology. <i>Biomedical Engineering / Biomedizinische Technik</i>. 2013;58(SI-1-Track-G). doi:<a href=\"https://doi.org/10.1515/bmt-2013-4181\">10.1515/bmt-2013-4181</a>","apa":"Schlögl, A., Jonas, P. M., Schmidt-Hieber, C., &#38; Guzman, S. J. (2013). Stimfit: A fast visualization and analysis environment for cellular neurophysiology. <i>Biomedical Engineering / Biomedizinische Technik</i>. Graz, Austria: De Gruyter. <a href=\"https://doi.org/10.1515/bmt-2013-4181\">https://doi.org/10.1515/bmt-2013-4181</a>","ista":"Schlögl A, Jonas PM, Schmidt-Hieber C, Guzman SJ. 2013. Stimfit: A fast visualization and analysis environment for cellular neurophysiology. Biomedical Engineering / Biomedizinische Technik. 58(SI-1-Track-G), 000010151520134181.","chicago":"Schlögl, Alois, Peter M Jonas, C. Schmidt-Hieber, and S. J. Guzman. “Stimfit: A Fast Visualization and Analysis Environment for Cellular Neurophysiology.” <i>Biomedical Engineering / Biomedizinische Technik</i>. De Gruyter, 2013. <a href=\"https://doi.org/10.1515/bmt-2013-4181\">https://doi.org/10.1515/bmt-2013-4181</a>.","ieee":"A. Schlögl, P. M. Jonas, C. Schmidt-Hieber, and S. J. Guzman, “Stimfit: A fast visualization and analysis environment for cellular neurophysiology,” <i>Biomedical Engineering / Biomedizinische Technik</i>, vol. 58, no. SI-1-Track-G. De Gruyter, 2013.","mla":"Schlögl, Alois, et al. “Stimfit: A Fast Visualization and Analysis Environment for Cellular Neurophysiology.” <i>Biomedical Engineering / Biomedizinische Technik</i>, vol. 58, no. SI-1-Track-G, 000010151520134181, De Gruyter, 2013, doi:<a href=\"https://doi.org/10.1515/bmt-2013-4181\">10.1515/bmt-2013-4181</a>."},"corr_author":"1","article_number":"000010151520134181","issue":"SI-1-Track-G"},{"supervisor":[{"orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","last_name":"Jonas","first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87"}],"status":"public","date_updated":"2026-06-18T18:41:53Z","OA_place":"publisher","abstract":[{"lang":"eng","text":"CA3 pyramidal neurons are important for memory formation and pattern completion in the hippocampal network. These neurons receive multiple excitatory inputs from numerous sources. Therefore, the rules of spatiotemporal integration of multiple synaptic inputs and propagation of action potentials are important to understand how CA3 neurons contribute to higher brain functions at cellular level. By using confocally targeted patch-clamp recording techniques, we investigated the biophysical properties of rat CA3 pyramidal neuron dendrites. We found two distinct dendritic domains critical for action potential initiation and propagation: In the proximal domain, action potentials initiated in the axon backpropagate actively with large amplitude and fast time course. In the distal domain, Na+-channel mediated dendritic spikes are efficiently evoked by local dendritic depolarization or waveforms mimicking synaptic events. These findings can be explained by a high Na+-to-K+ conductance density ratio of CA3 pyramidal neuron dendrites. The results challenge the prevailing view that proximal mossy fiber inputs activate CA3 pyramidal neurons more efficiently than distal perforant inputs by showing that the distal synapses trigger a different form of activity represented by dendritic spikes. The high probability of dendritic spike initiation in the distal area may enhance the computational power of CA3 pyramidal neurons in the hippocampal network.  "}],"title":"Active properties of hippocampal CA3 pyramidal neuron dendrites","publisher":"Institute of Science and Technology Austria","degree_awarded":"PhD","related_material":{"record":[{"status":"public","id":"3258","relation":"part_of_dissertation"}]},"alternative_title":["ISTA Thesis"],"citation":{"short":"S. Kim, Active Properties of Hippocampal CA3 Pyramidal Neuron Dendrites, Institute of Science and Technology Austria, 2012.","ama":"Kim S. Active properties of hippocampal CA3 pyramidal neuron dendrites. 2012.","apa":"Kim, S. (2012). <i>Active properties of hippocampal CA3 pyramidal neuron dendrites</i>. Institute of Science and Technology Austria.","ista":"Kim S. 2012. Active properties of hippocampal CA3 pyramidal neuron dendrites. Institute of Science and Technology Austria.","ieee":"S. Kim, “Active properties of hippocampal CA3 pyramidal neuron dendrites,” Institute of Science and Technology Austria, 2012.","chicago":"Kim, Sooyun. “Active Properties of Hippocampal CA3 Pyramidal Neuron Dendrites.” Institute of Science and Technology Austria, 2012.","mla":"Kim, Sooyun. <i>Active Properties of Hippocampal CA3 Pyramidal Neuron Dendrites</i>. Institute of Science and Technology Austria, 2012."},"publication_identifier":{"issn":["2663-337X"]},"corr_author":"1","day":"01","article_processing_charge":"No","author":[{"id":"394AB1C8-F248-11E8-B48F-1D18A9856A87","first_name":"Sooyun","full_name":"Kim, Sooyun","last_name":"Kim"}],"department":[{"_id":"PeJo"},{"_id":"GradSch"}],"publication_status":"published","type":"dissertation","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","month":"06","date_created":"2018-12-11T12:00:35Z","_id":"2964","date_published":"2012-06-01T00:00:00Z","publist_id":"3755","language":[{"iso":"eng"}],"year":"2012","oa_version":"None","page":"65"},{"main_file_link":[{"open_access":"1","url":"http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3632771/"}],"title":"Miniature IPSCs in hippocampal granule cells are triggered by voltage-gated Ca^(2+) channels via microdomain coupling","quality_controlled":"1","abstract":[{"lang":"eng","text":"The coupling between presynaptic Ca^(2+) channels and Ca^(2+) sensors of exocytosis is a key determinant of synaptic transmission. Evoked release from parvalbumin (PV)-expressing interneurons is triggered by nanodomain coupling of P/Q-type Ca^(2+) channels, whereas release from cholecystokinin (CCK)-containing interneurons is generated by microdomain coupling of N-type channels. Nanodomain coupling has several functional advantages, including speed and efficacy of transmission. One potential disadvantage is that stochastic\r\nopening of presynaptic Ca^(2+) channels may trigger spontaneous transmitter release. We addressed this possibility in rat hippocampal\r\ngranule cells, which receive converging inputs from different inhibitory sources. Both reduction of extracellular Ca^(2+) concentration and the unselective Ca^(2+) channel blocker Cd^(2+) reduced the frequency of miniature IPSCs (mIPSCs) in granule cells by ~50%, suggesting that the opening of presynaptic Ca^(2+) channels contributes to spontaneous release. Application of the selective P/Q-type Ca^(2+) channel blocker\r\nω-agatoxin IVa had no detectable effects, whereas both the N-type blocker ω-conotoxin GVIa and the L-type blocker nimodipine reduced\r\nmIPSC frequency. Furthermore, both the fast Ca^(2+) chelator BAPTA-AM and the slow chelator EGTA-AM reduced the mIPSC frequency,\r\nsuggesting that Ca^(2+)-dependent spontaneous release is triggered by microdomain rather than nanodomain coupling. The CB_(1) receptor\r\nagonist WIN 55212-2 also decreased spontaneous release; this effect was occluded by prior application of ω-conotoxin GVIa, suggesting that a major fraction of Ca^(2+)-dependent spontaneous release was generated at the terminals of CCK-expressing interneurons. Tonic inhibition generated by spontaneous opening of presynaptic N- and L-type Ca^(2+) channels may be important for hippocampal information processing.\r\n"}],"publisher":"Society for Neuroscience","oa":1,"status":"public","date_updated":"2025-09-30T08:03:27Z","doi":"10.1523/JNEUROSCI.6104-11.2012","project":[{"_id":"25BDE9A4-B435-11E9-9278-68D0E5697425","grant_number":"SFB-TR3-TP10B","name":"Glutamaterge synaptische Übertragung und Plastizität in hippocampalen Mikroschaltkreisen"}],"publist_id":"3744","year":"2012","date_created":"2018-12-11T12:00:36Z","pmid":1,"external_id":{"isi":["000309963700030"],"pmid":["23055500"]},"_id":"2969","date_published":"2012-10-10T00:00:00Z","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","type":"journal_article","publication":"Journal of Neuroscience","day":"10","article_processing_charge":"No","citation":{"ieee":"S. Goswami, I. Bucurenciu, and P. M. Jonas, “Miniature IPSCs in hippocampal granule cells are triggered by voltage-gated Ca^(2+) channels via microdomain coupling,” <i>Journal of Neuroscience</i>, vol. 32, no. 41. Society for Neuroscience, pp. 14294–14304, 2012.","chicago":"Goswami, Sarit, Iancu Bucurenciu, and Peter M Jonas. “Miniature IPSCs in Hippocampal Granule Cells Are Triggered by Voltage-Gated Ca^(2+) Channels via Microdomain Coupling.” <i>Journal of Neuroscience</i>. Society for Neuroscience, 2012. <a href=\"https://doi.org/10.1523/JNEUROSCI.6104-11.2012\">https://doi.org/10.1523/JNEUROSCI.6104-11.2012</a>.","mla":"Goswami, Sarit, et al. “Miniature IPSCs in Hippocampal Granule Cells Are Triggered by Voltage-Gated Ca^(2+) Channels via Microdomain Coupling.” <i>Journal of Neuroscience</i>, vol. 32, no. 41, Society for Neuroscience, 2012, pp. 14294–304, doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.6104-11.2012\">10.1523/JNEUROSCI.6104-11.2012</a>.","ista":"Goswami S, Bucurenciu I, Jonas PM. 2012. Miniature IPSCs in hippocampal granule cells are triggered by voltage-gated Ca^(2+) channels via microdomain coupling. Journal of Neuroscience. 32(41), 14294–14304.","ama":"Goswami S, Bucurenciu I, Jonas PM. Miniature IPSCs in hippocampal granule cells are triggered by voltage-gated Ca^(2+) channels via microdomain coupling. <i>Journal of Neuroscience</i>. 2012;32(41):14294-14304. doi:<a href=\"https://doi.org/10.1523/JNEUROSCI.6104-11.2012\">10.1523/JNEUROSCI.6104-11.2012</a>","apa":"Goswami, S., Bucurenciu, I., &#38; Jonas, P. M. (2012). Miniature IPSCs in hippocampal granule cells are triggered by voltage-gated Ca^(2+) channels via microdomain coupling. <i>Journal of Neuroscience</i>. Society for Neuroscience. <a href=\"https://doi.org/10.1523/JNEUROSCI.6104-11.2012\">https://doi.org/10.1523/JNEUROSCI.6104-11.2012</a>","short":"S. Goswami, I. Bucurenciu, P.M. Jonas, Journal of Neuroscience 32 (2012) 14294–14304."},"corr_author":"1","issue":"41","language":[{"iso":"eng"}],"oa_version":"Submitted Version","page":"14294 - 14304","department":[{"_id":"PeJo"}],"author":[{"full_name":"Goswami, Sarit","last_name":"Goswami","id":"3A578F32-F248-11E8-B48F-1D18A9856A87","first_name":"Sarit"},{"first_name":"Iancu","full_name":"Bucurenciu, Iancu","last_name":"Bucurenciu"},{"first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","last_name":"Jonas","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804"}],"isi":1,"publication_status":"published","month":"10","volume":32,"scopus_import":"1","intvolume":"        32","acknowledgement":"This work was supported by grants from the Deutsche Forschungsgemeinschaft (TR 3/B10, Leibniz program, GSC-4 Spemann Graduate School) and the European Union (European Research Council Advanced Grant)."},{"has_accepted_license":"1","citation":{"ista":"Tangermann M, Müller K, Aertsen A, Birbaumer N, Braun C, Brunner C, Leeb R, Mehring C, Miller K, Müller Putz G, Nolte G, Pfurtscheller G, Preissl H, Schalk G, Schlögl A, Vidaurre C, Waldert S, Blankertz B. 2012. Review of the BCI competition IV. Frontiers in Neuroscience. 6, 55.","mla":"Tangermann, Michael, et al. “Review of the BCI Competition IV.” <i>Frontiers in Neuroscience</i>, vol. 6, 55, Frontiers Research Foundation, 2012, doi:<a href=\"https://doi.org/10.3389/fnins.2012.00055\">10.3389/fnins.2012.00055</a>.","ieee":"M. Tangermann <i>et al.</i>, “Review of the BCI competition IV,” <i>Frontiers in Neuroscience</i>, vol. 6. Frontiers Research Foundation, 2012.","chicago":"Tangermann, Michael, Klaus Müller, Ad Aertsen, Niels Birbaumer, Christoph Braun, Clemens Brunner, Robert Leeb, et al. “Review of the BCI Competition IV.” <i>Frontiers in Neuroscience</i>. Frontiers Research Foundation, 2012. <a href=\"https://doi.org/10.3389/fnins.2012.00055\">https://doi.org/10.3389/fnins.2012.00055</a>.","short":"M. Tangermann, K. Müller, A. Aertsen, N. Birbaumer, C. Braun, C. Brunner, R. Leeb, C. Mehring, K. Miller, G. Müller Putz, G. Nolte, G. Pfurtscheller, H. Preissl, G. Schalk, A. Schlögl, C. Vidaurre, S. Waldert, B. Blankertz, Frontiers in Neuroscience 6 (2012).","apa":"Tangermann, M., Müller, K., Aertsen, A., Birbaumer, N., Braun, C., Brunner, C., … Blankertz, B. (2012). Review of the BCI competition IV. <i>Frontiers in Neuroscience</i>. Frontiers Research Foundation. <a href=\"https://doi.org/10.3389/fnins.2012.00055\">https://doi.org/10.3389/fnins.2012.00055</a>","ama":"Tangermann M, Müller K, Aertsen A, et al. Review of the BCI competition IV. <i>Frontiers in Neuroscience</i>. 2012;6. doi:<a href=\"https://doi.org/10.3389/fnins.2012.00055\">10.3389/fnins.2012.00055</a>"},"article_number":"55","pubrep_id":"945","language":[{"iso":"eng"}],"oa_version":"Published Version","scopus_import":"1","intvolume":"         6","ddc":["004"],"acknowledgement":"The studies were in part or completely supported by the Bundesministerium für Bildung und Forschung (BMBF), Fkz 01IB001A, 01GQ0850, by the German Science Foundation (DFG, contract MU 987/3-2), by the European ICT Programme Projects FP7-224631 and 216886, the World Class University Program through the National Research Foundation of Korea funded by the Ministry of Education, Science, and Technology (Grant R31-10008), the US Army Research Office [W911NF-08-1-0216 (Gerwin Schalk) and W911NF-07-1-0415 (Gerwin Schalk)] and the NIH [EB006356 (Gerwin Schalk) and EB000856 (Gerwin Schalk), the WIN-Kolleg of the Heidelberg Academy of Sciences and Humanities, German Federal Ministry of Education and Research grants 01GQ0420, 01GQ0761, 01GQ0762, and 01GQ0830, German Research Foundation grants 550/B5 and C6, and by a scholarship from the German National Academic Foundation. This paper only reflects the authors’ views and funding agencies are not liable for any use that may be made of the information contained herein.\r\n","author":[{"first_name":"Michael","last_name":"Tangermann","full_name":"Tangermann, Michael"},{"last_name":"Müller","full_name":"Müller, Klaus","first_name":"Klaus"},{"first_name":"Ad","last_name":"Aertsen","full_name":"Aertsen, Ad"},{"last_name":"Birbaumer","full_name":"Birbaumer, Niels","first_name":"Niels"},{"first_name":"Christoph","full_name":"Braun, Christoph","last_name":"Braun"},{"first_name":"Clemens","full_name":"Brunner, Clemens","last_name":"Brunner"},{"first_name":"Robert","last_name":"Leeb","full_name":"Leeb, Robert"},{"full_name":"Mehring, Carsten","last_name":"Mehring","first_name":"Carsten"},{"first_name":"Kai","last_name":"Miller","full_name":"Miller, Kai"},{"last_name":"Müller Putz","full_name":"Müller Putz, Gernot","first_name":"Gernot"},{"first_name":"Guido","last_name":"Nolte","full_name":"Nolte, Guido"},{"first_name":"Gert","full_name":"Pfurtscheller, Gert","last_name":"Pfurtscheller"},{"last_name":"Preissl","full_name":"Preissl, Hubert","first_name":"Hubert"},{"last_name":"Schalk","full_name":"Schalk, Gerwin","first_name":"Gerwin"},{"id":"45BF87EE-F248-11E8-B48F-1D18A9856A87","first_name":"Alois","full_name":"Schlögl, Alois","last_name":"Schlögl","orcid":"0000-0002-5621-8100"},{"first_name":"Carmen","full_name":"Vidaurre, Carmen","last_name":"Vidaurre"},{"full_name":"Waldert, Stephan","last_name":"Waldert","first_name":"Stephan"},{"full_name":"Blankertz, Benjamin","last_name":"Blankertz","first_name":"Benjamin"}],"department":[{"_id":"ScienComp"},{"_id":"PeJo"}],"publication_status":"published","isi":1,"month":"07","volume":6,"quality_controlled":"1","abstract":[{"text":"The BCI competition IV stands in the tradition of prior BCI competitions that aim to provide high quality neuroscientific data for open access to the scientific community. As experienced already in prior competitions not only scientists from the narrow field of BCI compete, but scholars with a broad variety of backgrounds and nationalities. They include high specialists as well as students.The goals of all BCI competitions have always been to challenge with respect to novel paradigms and complex data. We report on the following challenges: (1) asynchronous data, (2) synthetic, (3) multi-class continuous data, (4) sessionto-session transfer, (5) directionally modulated MEG, (6) finger movements recorded by ECoG. As after past competitions, our hope is that winning entries may enhance the analysis methods of future BCIs.","lang":"eng"}],"title":"Review of the BCI competition IV","publisher":"Frontiers Research Foundation","file":[{"date_updated":"2020-07-14T12:46:35Z","file_id":"5356","content_type":"application/pdf","checksum":"195238221c4b0b0f4035f6f6c16ea17c","relation":"main_file","date_created":"2018-12-12T10:18:34Z","creator":"system","access_level":"open_access","file_size":2693701,"file_name":"IST-2018-945-v1+1_2012_Schloegl_Review_of.pdf"}],"status":"public","date_updated":"2025-09-30T08:35:59Z","doi":"10.3389/fnins.2012.00055","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"oa":1,"date_created":"2018-12-11T11:46:46Z","_id":"493","external_id":{"isi":["000209165300066"]},"date_published":"2012-07-13T00:00:00Z","publist_id":"7327","year":"2012","file_date_updated":"2020-07-14T12:46:35Z","day":"13","article_processing_charge":"No","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","type":"journal_article","publication":"Frontiers in Neuroscience"},{"issue":"9","citation":{"mla":"Williams, Courtney, et al. “Coactivation of Multiple Tightly Coupled Calcium Channels Triggers Spontaneous Release of GABA.” <i>Nature Neuroscience</i>, vol. 15, no. 9, Nature Publishing Group, 2012, pp. 1195–97, doi:<a href=\"https://doi.org/10.1038/nn.3162\">10.1038/nn.3162</a>.","ieee":"C. Williams, W. Chen, C. Lee, D. Yaeger, N. Vyleta, and S. Smith, “Coactivation of multiple tightly coupled calcium channels triggers spontaneous release of GABA,” <i>Nature Neuroscience</i>, vol. 15, no. 9. Nature Publishing Group, pp. 1195–1197, 2012.","chicago":"Williams, Courtney, Wenyan Chen, Chia Lee, Daniel Yaeger, Nicholas Vyleta, and Stephen Smith. “Coactivation of Multiple Tightly Coupled Calcium Channels Triggers Spontaneous Release of GABA.” <i>Nature Neuroscience</i>. Nature Publishing Group, 2012. <a href=\"https://doi.org/10.1038/nn.3162\">https://doi.org/10.1038/nn.3162</a>.","ista":"Williams C, Chen W, Lee C, Yaeger D, Vyleta N, Smith S. 2012. Coactivation of multiple tightly coupled calcium channels triggers spontaneous release of GABA. Nature Neuroscience. 15(9), 1195–1197.","apa":"Williams, C., Chen, W., Lee, C., Yaeger, D., Vyleta, N., &#38; Smith, S. (2012). Coactivation of multiple tightly coupled calcium channels triggers spontaneous release of GABA. <i>Nature Neuroscience</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/nn.3162\">https://doi.org/10.1038/nn.3162</a>","ama":"Williams C, Chen W, Lee C, Yaeger D, Vyleta N, Smith S. Coactivation of multiple tightly coupled calcium channels triggers spontaneous release of GABA. <i>Nature Neuroscience</i>. 2012;15(9):1195-1197. doi:<a href=\"https://doi.org/10.1038/nn.3162\">10.1038/nn.3162</a>","short":"C. Williams, W. Chen, C. Lee, D. Yaeger, N. Vyleta, S. Smith, Nature Neuroscience 15 (2012) 1195–1197."},"page":"1195 - 1197","oa_version":"Submitted Version","language":[{"iso":"eng"}],"acknowledgement":"The work was supported by the US National Institutes of Health (DA027110 and GM097433) and OCTRI. C.W. and N.P.V. were supported by a grant from the National Heart, Lung, and Blood Institute (T32HL033808).\r\nWe thank M. Andresen and K. Khodakhah for helpful comments. ","intvolume":"        15","scopus_import":"1","volume":15,"month":"09","publication_status":"published","isi":1,"author":[{"first_name":"Courtney","full_name":"Williams, Courtney","last_name":"Williams"},{"full_name":"Chen, Wenyan","last_name":"Chen","first_name":"Wenyan"},{"last_name":"Lee","full_name":"Lee, Chia","first_name":"Chia"},{"first_name":"Daniel","last_name":"Yaeger","full_name":"Yaeger, Daniel"},{"last_name":"Vyleta","full_name":"Vyleta, Nicholas","id":"36C4978E-F248-11E8-B48F-1D18A9856A87","first_name":"Nicholas"},{"first_name":"Stephen","last_name":"Smith","full_name":"Smith, Stephen"}],"department":[{"_id":"PeJo"}],"publisher":"Nature Publishing Group","abstract":[{"text":"Voltage-activated Ca(2+) channels (VACCs) mediate Ca(2+) influx to trigger action potential-evoked neurotransmitter release, but the mechanism by which Ca(2+) regulates spontaneous transmission is unclear. We found that VACCs are the major physiological triggers for spontaneous release at mouse neocortical inhibitory synapses. Moreover, despite the absence of a synchronizing action potential, we found that spontaneous fusion of a GABA-containing vesicle required the activation of multiple tightly coupled VACCs of variable type.","lang":"eng"}],"title":"Coactivation of multiple tightly coupled calcium channels triggers spontaneous release of GABA","quality_controlled":"1","main_file_link":[{"open_access":"1","url":"http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3431448/"}],"status":"public","date_updated":"2025-09-30T07:59:27Z","doi":"10.1038/nn.3162","oa":1,"date_published":"2012-09-01T00:00:00Z","external_id":{"isi":["000308072600008"],"pmid":["22842148"]},"_id":"3121","date_created":"2018-12-11T12:01:30Z","pmid":1,"year":"2012","publist_id":"3578","article_processing_charge":"No","day":"01","publication":"Nature Neuroscience","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","type":"journal_article"}]