PLoS Computational Biology (Nov 2018)

Visual physiology of the layer 4 cortical circuit in silico.

  • Anton Arkhipov,
  • Nathan W Gouwens,
  • Yazan N Billeh,
  • Sergey Gratiy,
  • Ramakrishnan Iyer,
  • Ziqiang Wei,
  • Zihao Xu,
  • Reza Abbasi-Asl,
  • Jim Berg,
  • Michael Buice,
  • Nicholas Cain,
  • Nuno da Costa,
  • Saskia de Vries,
  • Daniel Denman,
  • Severine Durand,
  • David Feng,
  • Tim Jarsky,
  • Jérôme Lecoq,
  • Brian Lee,
  • Lu Li,
  • Stefan Mihalas,
  • Gabriel K Ocker,
  • Shawn R Olsen,
  • R Clay Reid,
  • Gilberto Soler-Llavina,
  • Staci A Sorensen,
  • Quanxin Wang,
  • Jack Waters,
  • Massimo Scanziani,
  • Christof Koch

DOI
https://doi.org/10.1371/journal.pcbi.1006535
Journal volume & issue
Vol. 14, no. 11
p. e1006535

Abstract

Read online

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.