[{"article_processing_charge":"Yes","has_accepted_license":"1","day":"10","scopus_import":"1","date_published":"2018-05-10T00:00:00Z","citation":{"apa":"Botella Soler, V., Deny, S., Martius, G. S., Marre, O., & Tkačik, G. (2018). Nonlinear decoding of a complex movie from the mammalian retina. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1006057","ieee":"V. Botella Soler, S. Deny, G. S. Martius, O. Marre, and G. Tkačik, “Nonlinear decoding of a complex movie from the mammalian retina,” PLoS Computational Biology, vol. 14, no. 5. Public Library of Science, 2018.","ista":"Botella Soler V, Deny S, Martius GS, Marre O, Tkačik G. 2018. Nonlinear decoding of a complex movie from the mammalian retina. PLoS Computational Biology. 14(5), e1006057.","ama":"Botella Soler V, Deny S, Martius GS, Marre O, Tkačik G. Nonlinear decoding of a complex movie from the mammalian retina. PLoS Computational Biology. 2018;14(5). doi:10.1371/journal.pcbi.1006057","chicago":"Botella Soler, Vicente, Stephane Deny, Georg S Martius, Olivier Marre, and Gašper Tkačik. “Nonlinear Decoding of a Complex Movie from the Mammalian Retina.” PLoS Computational Biology. Public Library of Science, 2018. https://doi.org/10.1371/journal.pcbi.1006057.","short":"V. Botella Soler, S. Deny, G.S. Martius, O. Marre, G. Tkačik, PLoS Computational Biology 14 (2018).","mla":"Botella Soler, Vicente, et al. “Nonlinear Decoding of a Complex Movie from the Mammalian Retina.” PLoS Computational Biology, vol. 14, no. 5, e1006057, Public Library of Science, 2018, doi:10.1371/journal.pcbi.1006057."},"publication":"PLoS Computational Biology","article_type":"original","issue":"5","abstract":[{"text":"Retina is a paradigmatic system for studying sensory encoding: the transformation of light into spiking activity of ganglion cells. The inverse problem, where stimulus is reconstructed from spikes, has received less attention, especially for complex stimuli that should be reconstructed “pixel-by-pixel”. We recorded around a hundred neurons from a dense patch in a rat retina and decoded movies of multiple small randomly-moving discs. We constructed nonlinear (kernelized and neural network) decoders that improved significantly over linear results. An important contribution to this was the ability of nonlinear decoders to reliably separate between neural responses driven by locally fluctuating light signals, and responses at locally constant light driven by spontaneous-like activity. This improvement crucially depended on the precise, non-Poisson temporal structure of individual spike trains, which originated in the spike-history dependence of neural responses. We propose a general principle by which downstream circuitry could discriminate between spontaneous and stimulus-driven activity based solely on higher-order statistical structure in the incoming spike trains.","lang":"eng"}],"type":"journal_article","oa_version":"Published Version","file":[{"file_id":"5974","relation":"main_file","date_created":"2019-02-13T11:07:15Z","date_updated":"2020-07-14T12:45:53Z","checksum":"3026f94d235219e15514505fdbadf34e","file_name":"2018_Plos_Botella_Soler.pdf","access_level":"open_access","creator":"dernst","file_size":3460786,"content_type":"application/pdf"}],"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","_id":"292","intvolume":" 14","title":"Nonlinear decoding of a complex movie from the mammalian retina","ddc":["570"],"status":"public","month":"05","doi":"10.1371/journal.pcbi.1006057","language":[{"iso":"eng"}],"external_id":{"isi":["000434012100002"]},"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"oa":1,"project":[{"name":"Human Brain Project Specific Grant Agreement 1 (HBP SGA 1)","call_identifier":"H2020","_id":"25CBA828-B435-11E9-9278-68D0E5697425","grant_number":"720270"},{"grant_number":"P 25651-N26","_id":"254D1A94-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Sensitivity to higher-order statistics in natural scenes"}],"isi":1,"quality_controlled":"1","ec_funded":1,"file_date_updated":"2020-07-14T12:45:53Z","article_number":"e1006057","related_material":{"link":[{"url":"https://ist.ac.at/en/news/video-of-moving-discs-reconstructed-from-rat-retinal-neuron-signals/","relation":"press_release","description":"News on IST Homepage"}],"record":[{"id":"5584","relation":"research_data","status":"public"}]},"author":[{"orcid":"0000-0002-8790-1914","id":"421234E8-F248-11E8-B48F-1D18A9856A87","last_name":"Botella Soler","first_name":"Vicent","full_name":"Botella Soler, Vicent"},{"full_name":"Deny, Stephane","first_name":"Stephane","last_name":"Deny"},{"last_name":"Martius","first_name":"Georg S","full_name":"Martius, Georg S"},{"full_name":"Marre, Olivier","first_name":"Olivier","last_name":"Marre"},{"full_name":"Tkacik, Gasper","orcid":"0000-0002-6699-1455","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","last_name":"Tkacik","first_name":"Gasper"}],"volume":14,"date_updated":"2024-02-21T13:45:25Z","date_created":"2018-12-11T11:45:39Z","year":"2018","publisher":"Public Library of Science","department":[{"_id":"GaTk"}],"publication_status":"published"},{"year":"2015","acknowledgement":"This work was supported by grants EY 014196 and EY 017934 to MJB, ANR OPTIMA, the French State program Investissements d’Avenir managed by the Agence Nationale de la Recherche [LIFESENSES: ANR-10-LABX-65], and by a EC grant from the Human Brain Project (CLAP) to OM, the Austrian Research Foundation FWF P25651 to VBS and GT. VBS is partially supported by contracts MEC, Spain (Grant No. AYA2010- 22111-C03-02, Grant No. AYA2013-48623-C2-2 and FEDER Funds).","publisher":"Public Library of Science","department":[{"_id":"GaTk"}],"publication_status":"published","author":[{"full_name":"Marre, Olivier","last_name":"Marre","first_name":"Olivier"},{"id":"421234E8-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-8790-1914","first_name":"Vicente","last_name":"Botella Soler","full_name":"Botella Soler, Vicente"},{"full_name":"Simmons, Kristina","first_name":"Kristina","last_name":"Simmons"},{"first_name":"Thierry","last_name":"Mora","full_name":"Mora, Thierry"},{"id":"3D494DCA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-6699-1455","first_name":"Gasper","last_name":"Tkacik","full_name":"Tkacik, Gasper"},{"last_name":"Berry","first_name":"Michael","full_name":"Berry, Michael"}],"volume":11,"date_created":"2018-12-11T11:53:31Z","date_updated":"2021-01-12T06:52:35Z","article_number":"e1004304","publist_id":"5447","file_date_updated":"2020-07-14T12:45:12Z","oa":1,"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"project":[{"name":"Sensitivity to higher-order statistics in natural scenes","call_identifier":"FWF","grant_number":"P 25651-N26","_id":"254D1A94-B435-11E9-9278-68D0E5697425"}],"quality_controlled":"1","doi":"10.1371/journal.pcbi.1004304","language":[{"iso":"eng"}],"month":"07","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"1697","intvolume":" 11","status":"public","ddc":["570"],"title":"High accuracy decoding of dynamical motion from a large retinal population","pubrep_id":"455","oa_version":"Published Version","file":[{"file_id":"5212","relation":"main_file","checksum":"472b979f3f1cffb37b3e503f085115ca","date_updated":"2020-07-14T12:45:12Z","date_created":"2018-12-12T10:16:25Z","access_level":"open_access","file_name":"IST-2016-455-v1+1_journal.pcbi.1004304.pdf","creator":"system","file_size":4673930,"content_type":"application/pdf"}],"type":"journal_article","issue":"7","abstract":[{"text":"Motion tracking is a challenge the visual system has to solve by reading out the retinal population. It is still unclear how the information from different neurons can be combined together to estimate the position of an object. Here we recorded a large population of ganglion cells in a dense patch of salamander and guinea pig retinas while displaying a bar moving diffusively. We show that the bar’s position can be reconstructed from retinal activity with a precision in the hyperacuity regime using a linear decoder acting on 100+ cells. We then took advantage of this unprecedented precision to explore the spatial structure of the retina’s population code. The classical view would have suggested that the firing rates of the cells form a moving hill of activity tracking the bar’s position. Instead, we found that most ganglion cells in the salamander fired sparsely and idiosyncratically, so that their neural image did not track the bar. Furthermore, ganglion cell activity spanned an area much larger than predicted by their receptive fields, with cells coding for motion far in their surround. As a result, population redundancy was high, and we could find multiple, disjoint subsets of neurons that encoded the trajectory with high precision. This organization allows for diverse collections of ganglion cells to represent high-accuracy motion information in a form easily read out by downstream neural circuits.","lang":"eng"}],"citation":{"ieee":"O. Marre, V. Botella Soler, K. Simmons, T. Mora, G. Tkačik, and M. Berry, “High accuracy decoding of dynamical motion from a large retinal population,” PLoS Computational Biology, vol. 11, no. 7. Public Library of Science, 2015.","apa":"Marre, O., Botella Soler, V., Simmons, K., Mora, T., Tkačik, G., & Berry, M. (2015). High accuracy decoding of dynamical motion from a large retinal population. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1004304","ista":"Marre O, Botella Soler V, Simmons K, Mora T, Tkačik G, Berry M. 2015. High accuracy decoding of dynamical motion from a large retinal population. PLoS Computational Biology. 11(7), e1004304.","ama":"Marre O, Botella Soler V, Simmons K, Mora T, Tkačik G, Berry M. High accuracy decoding of dynamical motion from a large retinal population. PLoS Computational Biology. 2015;11(7). doi:10.1371/journal.pcbi.1004304","chicago":"Marre, Olivier, Vicente Botella Soler, Kristina Simmons, Thierry Mora, Gašper Tkačik, and Michael Berry. “High Accuracy Decoding of Dynamical Motion from a Large Retinal Population.” PLoS Computational Biology. Public Library of Science, 2015. https://doi.org/10.1371/journal.pcbi.1004304.","short":"O. Marre, V. Botella Soler, K. Simmons, T. Mora, G. Tkačik, M. Berry, PLoS Computational Biology 11 (2015).","mla":"Marre, Olivier, et al. “High Accuracy Decoding of Dynamical Motion from a Large Retinal Population.” PLoS Computational Biology, vol. 11, no. 7, e1004304, Public Library of Science, 2015, doi:10.1371/journal.pcbi.1004304."},"publication":"PLoS Computational Biology","date_published":"2015-07-01T00:00:00Z","scopus_import":1,"has_accepted_license":"1","day":"01"},{"type":"journal_article","issue":"6","abstract":[{"text":"We describe a simple adaptive network of coupled chaotic maps. The network reaches a stationary state (frozen topology) for all values of the coupling parameter, although the dynamics of the maps at the nodes of the network can be nontrivial. The structure of the network shows interesting hierarchical properties and in certain parameter regions the dynamics is polysynchronous: Nodes can be divided in differently synchronized classes but, contrary to cluster synchronization, nodes in the same class need not be connected to each other. These complicated synchrony patterns have been conjectured to play roles in systems biology and circuits. The adaptive system we study describes ways whereby this behavior can evolve from undifferentiated nodes.","lang":"eng"}],"intvolume":" 89","title":"Hierarchy and polysynchrony in an adaptive network ","status":"public","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","_id":"2183","oa_version":"Preprint","scopus_import":"1","article_processing_charge":"No","day":"16","citation":{"chicago":"Botella Soler, Vicente, and Paul Glendinning. “Hierarchy and Polysynchrony in an Adaptive Network .” Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics, 2014. https://doi.org/10.1103/PhysRevE.89.062809.","mla":"Botella Soler, Vicente, and Paul Glendinning. “Hierarchy and Polysynchrony in an Adaptive Network .” Physical Review E Statistical Nonlinear and Soft Matter Physics, vol. 89, no. 6, 062809, American Institute of Physics, 2014, doi:10.1103/PhysRevE.89.062809.","short":"V. Botella Soler, P. Glendinning, Physical Review E Statistical Nonlinear and Soft Matter Physics 89 (2014).","ista":"Botella Soler V, Glendinning P. 2014. Hierarchy and polysynchrony in an adaptive network . Physical Review E Statistical Nonlinear and Soft Matter Physics. 89(6), 062809.","apa":"Botella Soler, V., & Glendinning, P. (2014). Hierarchy and polysynchrony in an adaptive network . Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics. https://doi.org/10.1103/PhysRevE.89.062809","ieee":"V. Botella Soler and P. Glendinning, “Hierarchy and polysynchrony in an adaptive network ,” Physical Review E Statistical Nonlinear and Soft Matter Physics, vol. 89, no. 6. American Institute of Physics, 2014.","ama":"Botella Soler V, Glendinning P. Hierarchy and polysynchrony in an adaptive network . Physical Review E Statistical Nonlinear and Soft Matter Physics. 2014;89(6). doi:10.1103/PhysRevE.89.062809"},"publication":"Physical Review E Statistical Nonlinear and Soft Matter Physics","date_published":"2014-06-16T00:00:00Z","article_number":"062809","ec_funded":1,"publist_id":"4798","department":[{"_id":"GaTk"}],"publisher":"American Institute of Physics","publication_status":"published","year":"2014","acknowledgement":"V.B.S. is partially supported by contract MEC (Grant No. AYA2010-22111-C03-02).\r\n","volume":89,"date_updated":"2022-08-25T14:04:45Z","date_created":"2018-12-11T11:56:11Z","author":[{"id":"421234E8-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-8790-1914","first_name":"Vicente","last_name":"Botella Soler","full_name":"Botella Soler, Vicente"},{"last_name":"Glendinning","first_name":"Paul","full_name":"Glendinning, Paul"}],"month":"06","project":[{"_id":"25681D80-B435-11E9-9278-68D0E5697425","grant_number":"291734","call_identifier":"FP7","name":"International IST Postdoc Fellowship Programme"}],"quality_controlled":"1","main_file_link":[{"open_access":"1","url":"http://arxiv.org/abs/1403.3209"}],"oa":1,"language":[{"iso":"eng"}],"doi":"10.1103/PhysRevE.89.062809"},{"scopus_import":1,"day":"01","month":"08","publication_identifier":{"eisbn":["9783527671632"],"isbn":["9783527411986 "]},"publication":"Multiscale Analysis and Nonlinear Dynamics: From Genes to the Brain","citation":{"mla":"Valderrama, Mario, et al. “Neuronal Oscillations Scale up and Scale down the Brain Dynamics .” Multiscale Analysis and Nonlinear Dynamics: From Genes to the Brain, edited by Misha Meyer and Z. Pesenson, Wiley-VCH, 2013, doi:10.1002/9783527671632.ch08.","short":"M. Valderrama, V. Botella Soler, M. Le Van Quyen, in:, M. Meyer, Z. Pesenson (Eds.), Multiscale Analysis and Nonlinear Dynamics: From Genes to the Brain, Wiley-VCH, 2013.","chicago":"Valderrama, Mario, Vicente Botella Soler, and Michel Le Van Quyen. “Neuronal Oscillations Scale up and Scale down the Brain Dynamics .” In Multiscale Analysis and Nonlinear Dynamics: From Genes to the Brain, edited by Misha Meyer and Z. Pesenson. Wiley-VCH, 2013. https://doi.org/10.1002/9783527671632.ch08.","ama":"Valderrama M, Botella Soler V, Le Van Quyen M. Neuronal oscillations scale up and scale down the brain dynamics . In: Meyer M, Pesenson Z, eds. Multiscale Analysis and Nonlinear Dynamics: From Genes to the Brain. Wiley-VCH; 2013. doi:10.1002/9783527671632.ch08","ista":"Valderrama M, Botella Soler V, Le Van Quyen M. 2013.Neuronal oscillations scale up and scale down the brain dynamics . In: Multiscale Analysis and Nonlinear Dynamics: From Genes to the Brain. Reviews of Nonlinear Dynamics and Complexity, .","ieee":"M. Valderrama, V. Botella Soler, and M. Le Van Quyen, “Neuronal oscillations scale up and scale down the brain dynamics ,” in Multiscale Analysis and Nonlinear Dynamics: From Genes to the Brain, M. Meyer and Z. Pesenson, Eds. Wiley-VCH, 2013.","apa":"Valderrama, M., Botella Soler, V., & Le Van Quyen, M. (2013). Neuronal oscillations scale up and scale down the brain dynamics . In M. Meyer & Z. Pesenson (Eds.), Multiscale Analysis and Nonlinear Dynamics: From Genes to the Brain. Wiley-VCH. https://doi.org/10.1002/9783527671632.ch08"},"quality_controlled":"1","date_published":"2013-08-01T00:00:00Z","doi":"10.1002/9783527671632.ch08","language":[{"iso":"eng"}],"type":"book_chapter","alternative_title":["Reviews of Nonlinear Dynamics and Complexity"],"abstract":[{"lang":"eng","text":"Progress in understanding the global brain dynamics has remained slow to date in large part because of the highly multiscale nature of brain activity. Indeed, normal brain dynamics is characterized by complex interactions between multiple levels: from the microscopic scale of single neurons to the mesoscopic level of local groups of neurons, and finally to the macroscopic level of the whole brain. Among the most difficult tasks are those of identifying which scales are significant for a given particular function and describing how the scales affect each other. It is important to realize that the scales of time and space are linked together, or even intertwined, and that causal inference is far more ambiguous between than within levels. We approach this problem from the perspective of our recent work on simultaneous recording from micro- and macroelectrodes in the human brain. We propose a physiological description of these multilevel interactions, based on phase–amplitude coupling of neuronal oscillations that operate at multiple frequencies and on different spatial scales. Specifically, the amplitude of the oscillations on a particular spatial scale is modulated by phasic variations in neuronal excitability induced by lower frequency oscillations that emerge on a larger spatial scale. Following this general principle, it is possible to scale up or scale down the multiscale brain dynamics. It is expected that large-scale network oscillations in the low-frequency range, mediating downward effects, may play an important role in attention and consciousness."}],"publist_id":"4513","_id":"2413","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","year":"2013","title":"Neuronal oscillations scale up and scale down the brain dynamics ","status":"public","publication_status":"published","editor":[{"last_name":"Meyer","first_name":"Misha","full_name":"Meyer, Misha"},{"first_name":"Z.","last_name":"Pesenson","full_name":"Pesenson, Z."}],"department":[{"_id":"GaTk"}],"publisher":"Wiley-VCH","author":[{"full_name":"Valderrama, Mario","last_name":"Valderrama","first_name":"Mario"},{"last_name":"Botella Soler","first_name":"Vicente","orcid":"0000-0002-8790-1914","id":"421234E8-F248-11E8-B48F-1D18A9856A87","full_name":"Botella Soler, Vicente"},{"first_name":"Michel","last_name":"Le Van Quyen","full_name":"Le Van Quyen, Michel"}],"date_updated":"2021-01-12T06:57:20Z","date_created":"2018-12-11T11:57:31Z","oa_version":"None"},{"quality_controlled":"1","citation":{"ista":"Botella Soler V, Oteo J, Ros J, Glendinning P. 2013. Lyapunov exponent and topological entropy plateaus in piecewise linear maps. Journal of Physics A: Mathematical and Theoretical. 46(12), 125101.","apa":"Botella Soler, V., Oteo, J., Ros, J., & Glendinning, P. (2013). Lyapunov exponent and topological entropy plateaus in piecewise linear maps. Journal of Physics A: Mathematical and Theoretical. IOP Publishing Ltd. https://doi.org/10.1088/1751-8113/46/12/125101","ieee":"V. Botella Soler, J. Oteo, J. Ros, and P. Glendinning, “Lyapunov exponent and topological entropy plateaus in piecewise linear maps,” Journal of Physics A: Mathematical and Theoretical, vol. 46, no. 12. IOP Publishing Ltd., 2013.","ama":"Botella Soler V, Oteo J, Ros J, Glendinning P. Lyapunov exponent and topological entropy plateaus in piecewise linear maps. Journal of Physics A: Mathematical and Theoretical. 2013;46(12). doi:10.1088/1751-8113/46/12/125101","chicago":"Botella Soler, Vicente, José Oteo, Javier Ros, and Paul Glendinning. “Lyapunov Exponent and Topological Entropy Plateaus in Piecewise Linear Maps.” Journal of Physics A: Mathematical and Theoretical. IOP Publishing Ltd., 2013. https://doi.org/10.1088/1751-8113/46/12/125101.","mla":"Botella Soler, Vicente, et al. “Lyapunov Exponent and Topological Entropy Plateaus in Piecewise Linear Maps.” Journal of Physics A: Mathematical and Theoretical, vol. 46, no. 12, 125101, IOP Publishing Ltd., 2013, doi:10.1088/1751-8113/46/12/125101.","short":"V. Botella Soler, J. Oteo, J. Ros, P. Glendinning, Journal of Physics A: Mathematical and Theoretical 46 (2013)."},"publication":"Journal of Physics A: Mathematical and Theoretical","language":[{"iso":"eng"}],"date_published":"2013-03-29T00:00:00Z","doi":"10.1088/1751-8113/46/12/125101","scopus_import":1,"day":"29","month":"03","department":[{"_id":"GaTk"}],"intvolume":" 46","publisher":"IOP Publishing Ltd.","status":"public","title":"Lyapunov exponent and topological entropy plateaus in piecewise linear maps","publication_status":"published","year":"2013","_id":"2861","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","oa_version":"None","volume":46,"date_updated":"2021-01-12T07:00:19Z","date_created":"2018-12-11T11:59:59Z","author":[{"first_name":"Vicente","last_name":"Botella Soler","id":"421234E8-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-8790-1914","full_name":"Botella Soler, Vicente"},{"full_name":"Oteo, José","first_name":"José","last_name":"Oteo"},{"full_name":"Ros, Javier","last_name":"Ros","first_name":"Javier"},{"first_name":"Paul","last_name":"Glendinning","full_name":"Glendinning, Paul"}],"type":"journal_article","article_number":"125101","issue":"12","publist_id":"3928","abstract":[{"lang":"eng","text":"We consider a two-parameter family of piecewise linear maps in which the moduli of the two slopes take different values. We provide numerical evidence of the existence of some parameter regions in which the Lyapunov exponent and the topological entropy remain constant. Analytical proof of this phenomenon is also given for certain cases. Surprisingly however, the systems with that property are not conjugate as we prove by using kneading theory."}]}]