Spike-Timing Dynamics of Neuronal Groups
(2004) Cerebral Cortex, 14:933-944
Eugene M. Izhikevich, Joe A. Gally, Gerald M. Edelman
A neuronal network motivated by the anatomy of the cerebral cortex was
simulated to study the self-organization of spiking neurons into neuronal groups.
The network consisted of 100,000 reentrantly interconnected neurons exhibiting
known types of cortical firing patterns, receptor kinetics,
short-term plasticity, and long-term spike-timing-dependent plasticity (STDP),
as well as a distribution of axonal conduction delays. The dynamics of the
network allowed us to study the fine temporal structure of emerging firing
patterns with millisecond resolution. We found that the interplay between
STDP and conduction delays gave rise to the spontaneous formation of
neuronal groups -- sets of strongly connected neurons capable of
firing time-locked, although not necessarily synchronous, spikes.
Despite the noise present in the model, such groups repeatedly generated
patterns of activity with millisecond spike-timing precision.
Exploration of the model allowed us to characterize various group
properties including spatial distribution, size, growth, rate of birth,
life span, and persistence in the presence of synaptic turnover.
Localized coherent input resulted in shifts of receptive and projective
fields in the model similar to those observed in vivo.
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