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Summary: Large-scale model of mammalian
thalamocortical systems
Eugene M. Izhikevich and Gerald M. Edelman*
The Neurosciences Institute, 10640 John Jay Hopkins Drive, San Diego, CA 92121
Contributed by Gerald M. Edelman, December 27, 2007 (sent for review December 21, 2007)
The understanding of the structural and dynamic complexity of
mammalian brains is greatly facilitated by computer simulations.
We present here a detailed large-scale thalamocortical model
based on experimental measures in several mammalian species.
The model spans three anatomical scales. (i) It is based on global
(white-matter) thalamocortical anatomy obtained by means of
diffusion tensor imaging (DTI) of a human brain. (ii) It includes
multiple thalamic nuclei and six-layered cortical microcircuitry
based on in vitro labeling and three-dimensional reconstruction of
single neurons of cat visual cortex. (iii) It has 22 basic types of
neurons with appropriate laminar distribution of their branching
dendritic trees. The model simulates one million multicompartmen-
tal spiking neurons calibrated to reproduce known types of re-
sponses recorded in vitro in rats. It has almost half a billion
synapses with appropriate receptor kinetics, short-term plasticity,
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