Algorithms for structural and dynamical polychronous groups detection

Regis Martinez 1, * Hélène Paugam-Moisy 2
* Auteur correspondant
1 DM2L - Data Mining and Machine Learning
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 TAO - Machine Learning and Optimisation
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : Polychronization has been proposed as a possible way to investigate the notion of cell assemblies and to understand their role as memory supports for information coding. In a spiking neuron network, polychronous groups (PGs) are small subsets of neurons that can be activated in a chain reaction according to a specific time-locked pattern. PGs can be detected in a neural network with known connection delays and visualized on a spike raster plot. In this paper, we specify the definition of PGs, making a distinction between structural and dynamical polychronous groups. We propose two algortihms to scan for structural PGs supported by a given network topology, one based on the distribution of connection delays and the other taking into account the synaptic weight values. At last, we propose a third algorithm to scan for the PGs that are actually activated in the network dynamics during a given time window.
Type de document :
Communication dans un congrès
ICANN'2009, International Conference on Artificial Neural Networks, Sep 2009, Limassol, Cyprus. Springer, 5769, pp.75-84, 2009
Liste complète des métadonnées

https://hal.inria.fr/inria-00425514
Contributeur : Hélène Paugam-Moisy <>
Soumis le : samedi 11 décembre 2010 - 00:10:56
Dernière modification le : jeudi 19 avril 2018 - 14:38:06
Document(s) archivé(s) le : lundi 5 novembre 2012 - 13:15:57

Fichier

versionHAL.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : inria-00425514, version 1

Citation

Regis Martinez, Hélène Paugam-Moisy. Algorithms for structural and dynamical polychronous groups detection. ICANN'2009, International Conference on Artificial Neural Networks, Sep 2009, Limassol, Cyprus. Springer, 5769, pp.75-84, 2009. 〈inria-00425514〉

Partager

Métriques

Consultations de la notice

468

Téléchargements de fichiers

186