Polychronous groups for analyzing self-organization in spiking neuron networks

Hélène Paugam-Moisy 1 Regis Martinez 1
1 DM2L - Data Mining and Machine Learning
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : 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.
Document type :
Poster communications
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https://hal.archives-ouvertes.fr/hal-01381579
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Submitted on : Friday, October 14, 2016 - 2:49:27 PM
Last modification on : Thursday, November 1, 2018 - 1:19:24 AM

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  • HAL Id : hal-01381579, version 1

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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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