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ARTICLE Communicated by Peter Thomas Polychronization: Computation with Spikes
 

Summary: ARTICLE Communicated by Peter Thomas
Polychronization: Computation with Spikes
Eugene M. Izhikevich
Eugene.Izhikevich@nsi.edu
The Neurosciences Institute, 10640 John Jay Hopkins Drive, San Diego, CA 92121,
U.S.A.
We present a minimal spiking network that can polychronize, that is,
exhibit reproducible time-locked but not synchronous firing patterns
with millisecond precision, as in synfire braids. The network consists
of cortical spiking neurons with axonal conduction delays and spike-
timing-dependent plasticity (STDP); a ready-to-use MATLAB code is
included. It exhibits sleeplike oscillations, gamma (40 Hz) rhythms,
conversion of firing rates to spike timings, and other interesting regimes.
Due to the interplay between the delays and STDP, the spiking neu-
rons spontaneously self-organize into groups and generate patterns
of stereotypical polychronous activity. To our surprise, the number of
coexisting polychronous groups far exceeds the number of neurons in
the network, resulting in an unprecedented memory capacity of the
system. We speculate on the significance of polychrony to the theory of
neuronal group selection (TNGS, neural Darwinism), cognitive neural

  

Source: Andrzejak, Ralph Gregor - Departament de Tecnologia, Universitat Pompeu Fabra
Izhikevich, Eugene M. - Neurosciences Institute, San Diego

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences