We present a multi-scale spiking network model of all vision-related areas of macaque cortex that represents each area by a full-scale microcircuit with area-specific architecture. The layer- and population-resolved network connectivity integrates axonal tracing data from the CoCoMac database with recent quantitative tracing data, and is systematically refined using dynamical constraints. Simulations reveal a stable asynchronous irregular ground state with heterogeneous activity across areas, layers, and populations. Elicited by large-scale interactions, the model reproduces longer intrinsic time scales in higher compared to early visual areas. Activity propagates down the visual hierarchy, similar to experimental results associated with visual imagery. Cortico-cortical interaction patterns agree well with fMRI resting-state functional connectivity. The model bridges the gap between local and large-scale accounts of cortex, and clarifies how the detailed connectivity of cortex shapes its dynamics on multiple scales.
@article{arxiv.1511.09364,
title = {Full-density multi-scale account of structure and dynamics of macaque visual cortex},
author = {Maximilian Schmidt and Rembrandt Bakker and Kelly Shen and Gleb Bezgin and Claus-Christian Hilgetag and Markus Diesmann and Sacha J. van Albada},
journal= {arXiv preprint arXiv:1511.09364},
year = {2018}
}