Nonlinear Sciences – Chaotic Dynamics
Scientific paper
2011-03-18
EPL 93, 66001 (2011)
Nonlinear Sciences
Chaotic Dynamics
8 pges, 6 figures
Scientific paper
10.1209/0295-5075/93/66001
The interplay between the topology of cortical circuits and synchronized activity modes in distinct cortical areas is a key enigma in neuroscience. We present a new nonlocal mechanism governing the periodic activity mode: the greatest common divisor (GCD) of network loops. For a stimulus to one node, the network splits into GCD-clusters in which cluster neurons are in zero-lag synchronization. For complex external stimuli, the number of clusters can be any common divisor. The synchronized mode and the transients to synchronization pinpoint the type of external stimuli. The findings, supported by an information mixing argument and simulations of Hodgkin Huxley population dynamic networks with unidirectional connectivity and synaptic noise, call for reexamining sources of correlated activity in cortex and shorter information processing time scales.
Abeles M.
Cohen Doron
Kanter Ido
Kinzel Wolfgang
Kopelowitz Evi
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