The dynamics of a neural network of coupled phase oscillators with synaptic plasticity controlling a minimally cognitive agent

Renan C. Moioli, Patricia A. Vargas, Phil Husbands

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This work explores the neuronal synchronisation and phase information dynamics of an enhanced version of the widely used Kuramoto model of phase interacting oscillators. The framework is applied to a simulated robotic agent engaged in a minimally cognitive benchmark task. The outcomes of this research contribute not only to uncover the role of neuronal synchronisation and phase information in the generation of cognitive behaviours but also to the understanding of oscillatory properties in neural networks. © 2010 Springer-Verlag Berlin Heidelberg.

Original languageEnglish
Title of host publicationArtificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings
Pages245-255
Number of pages11
Volume6353 LNCS
EditionPART 2
DOIs
Publication statusPublished - 2010
Event20th International Conference on Artificial Neural Networks - Thessaloniki, Greece
Duration: 15 Sep 201018 Sep 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6353 LNCS
ISSN (Print)0302-9743

Conference

Conference20th International Conference on Artificial Neural Networks
Abbreviated titleICANN 2010
CountryGreece
CityThessaloniki
Period15/09/1018/09/10

Fingerprint Dive into the research topics of 'The dynamics of a neural network of coupled phase oscillators with synaptic plasticity controlling a minimally cognitive agent'. Together they form a unique fingerprint.

Cite this