Polychronization: Computation With Spikes (Izhikevich 2005)


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Accession:115968
"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 spiketiming- 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. ... 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. ..."
Reference:
1 . Izhikevich EM (2005) Polychronization: Computation with Spikes Neural Comput 18:245-282 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Neocortex;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: MATLAB (web link to model); C or C++ program (web link to model);
Model Concept(s): Activity Patterns; Temporal Pattern Generation; Spatio-temporal Activity Patterns; Simplified Models; STDP;
Implementer(s): Izhikevich, Eugene [Eugene.Izhikevich at braincorporation.com];
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