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 multicompartmental spiking neurons calibrated to
reproduce known types of responses recorded in vitro in
rats. It has almost half a billion synapses with appropriate
receptor kinetics, short-term plasticity, and long-term
dendritic spike-timing-dependent synaptic plasticity
(dendritic STDP). The model exhibits behavioral regimes of
normal brain activity that were not explicitly built-in but
emerged spontaneously as the result of interactions among
anatomical and dynamic processes. We describe spontaneous
activity, sensitivity to changes in individual neurons,
emergence of waves and rhythms, and functional connectivity on
different scales.
%0 Journal Article
%1 izhikevich_large-scale_2008
%A Izhikevich, Eugene M.
%A Edelman, Gerald M.
%D 2008
%J Proceedings of the National Academy of Sciences
%K simulation
%N 9
%P 3593 --3598
%R 10.1073/pnas.0712231105
%T Large-scale model of mammalian thalamocortical systems
%U http://www.pnas.org/content/105/9/3593.abstract
%V 105
%X 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 multicompartmental spiking neurons calibrated to
reproduce known types of responses recorded in vitro in
rats. It has almost half a billion synapses with appropriate
receptor kinetics, short-term plasticity, and long-term
dendritic spike-timing-dependent synaptic plasticity
(dendritic STDP). The model exhibits behavioral regimes of
normal brain activity that were not explicitly built-in but
emerged spontaneously as the result of interactions among
anatomical and dynamic processes. We describe spontaneous
activity, sensitivity to changes in individual neurons,
emergence of waves and rhythms, and functional connectivity on
different scales.
@article{izhikevich_large-scale_2008,
abstract = {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 multicompartmental spiking neurons calibrated to
reproduce known types of responses recorded in vitro in
rats. It has almost half a billion synapses with appropriate
receptor kinetics, short-term plasticity, and long-term
dendritic spike-timing-dependent synaptic plasticity
(dendritic {STDP).} The model exhibits behavioral regimes of
normal brain activity that were not explicitly built-in but
emerged spontaneously as the result of interactions among
anatomical and dynamic processes. We describe spontaneous
activity, sensitivity to changes in individual neurons,
emergence of waves and rhythms, and functional connectivity on
different scales.},
added-at = {2014-01-19T04:25:50.000+0100},
author = {Izhikevich, Eugene M. and Edelman, Gerald M.},
bdsk-url-1 = {http://www.pnas.org/content/105/9/3593.abstract},
bdsk-url-2 = {http://dx.doi.org/10.1073/pnas.0712231105},
biburl = {https://www.bibsonomy.org/bibtex/2409d8645058e2b8194fedf9d76dd41c1/neurokernel},
doi = {10.1073/pnas.0712231105},
interhash = {67aed4ead2199cc7bb67fb26b3200fa9},
intrahash = {409d8645058e2b8194fedf9d76dd41c1},
journal = {Proceedings of the National Academy of Sciences},
keywords = {simulation},
month = mar,
number = 9,
pages = {3593 --3598},
timestamp = {2014-01-19T04:25:50.000+0100},
title = {Large-scale model of mammalian thalamocortical systems},
url = {http://www.pnas.org/content/105/9/3593.abstract},
urldate = {2011-05-02},
volume = 105,
year = 2008
}