| Literature DB >> 30419013 |
Anton Arkhipov1, Nathan W Gouwens1, Yazan N Billeh1, Sergey Gratiy1, Ramakrishnan Iyer1, Ziqiang Wei2, Zihao Xu3, Reza Abbasi-Asl1, Jim Berg1, Michael Buice1, Nicholas Cain1, Nuno da Costa1, Saskia de Vries1, Daniel Denman1, Severine Durand1, David Feng1, Tim Jarsky1, Jérôme Lecoq1, Brian Lee1, Lu Li1, Stefan Mihalas1, Gabriel K Ocker1, Shawn R Olsen1, R Clay Reid1, Gilberto Soler-Llavina4, Staci A Sorensen1, Quanxin Wang1, Jack Waters1, Massimo Scanziani5, Christof Koch1.
Abstract
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.Entities:
Mesh:
Year: 2018 PMID: 30419013 PMCID: PMC6258373 DOI: 10.1371/journal.pcbi.1006535
Source DB: PubMed Journal: PLoS Comput Biol ISSN: 1553-734X Impact factor: 4.475