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Visual physiology of the layer 4 cortical circuit in silico

Despite advances in experimental techniques and accumulation of large datasets concerning the composition and properties of the cortex, quantitative modeling of cortical circuits under in-vivo-like conditions remains challenging. Here we report and publicly release a biophysically detailed circuit m...

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Detalles Bibliográficos
Autores principales: Arkhipov, Anton, Gouwens, Nathan W., Billeh, Yazan N., Gratiy, Sergey, Iyer, Ramakrishnan, Wei, Ziqiang, Xu, Zihao, Abbasi-Asl, Reza, Berg, Jim, Buice, Michael, Cain, Nicholas, da Costa, Nuno, de Vries, Saskia, Denman, Daniel, Durand, Severine, Feng, David, Jarsky, Tim, Lecoq, Jérôme, Lee, Brian, Li, Lu, Mihalas, Stefan, Ocker, Gabriel K., Olsen, Shawn R., Reid, R. Clay, Soler-Llavina, Gilberto, Sorensen, Staci A., Wang, Quanxin, Waters, Jack, Scanziani, Massimo, Koch, Christof
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258373/
https://www.ncbi.nlm.nih.gov/pubmed/30419013
http://dx.doi.org/10.1371/journal.pcbi.1006535
Descripción
Sumario:Despite advances in experimental techniques and accumulation of large datasets concerning the composition and properties of the cortex, quantitative modeling of cortical circuits under in-vivo-like conditions remains challenging. Here we report and publicly release a biophysically detailed circuit model of layer 4 in the mouse primary visual cortex, receiving thalamo-cortical visual inputs. The 45,000-neuron model was subjected to a battery of visual stimuli, and results were compared to published work and new in vivo experiments. Simulations reproduced a variety of observations, including effects of optogenetic perturbations. Critical to the agreement between responses in silico and in vivo were the rules of functional synaptic connectivity between neurons. Interestingly, after extreme simplification the model still performed satisfactorily on many measurements, although quantitative agreement with experiments suffered. These results emphasize the importance of functional rules of cortical wiring and enable a next generation of data-driven models of in vivo neural activity and computations.