Polychronous groups for analyzing self-organization in spiking neuron networks - Archive ouverte HAL
Poster De Conférence Année : 2010

Polychronous groups for analyzing self-organization in spiking neuron networks

Résumé

In order to tackle in a dfferent light the challenging question: "What are the vectors of information in the brain activity?", the talk will present a spiking neuron network simulation that can help understanding the mechanism of multiple trace memory for information storage and retrieval. Well supporting the theory of dynamical cell assemblies, polychronous groups [Izhikevich - Neural Computation, 2006] could be the "shapes" of complex spatiotemporal phenomena.
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Dates et versions

hal-01381579 , version 1 (14-10-2016)

Identifiants

  • HAL Id : hal-01381579 , version 1

Citer

Hélène Paugam-Moisy, Regis Martinez. Polychronous groups for analyzing self-organization in spiking neuron networks. P. Baudot, R. Doursat. 1st International Workshop on "The Shapes of Brain Dynamics", Jun 2010, Complex System Institute, Paris, France. 2010. ⟨hal-01381579⟩
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