Continuous attractors in recurrent neural networks and phase space learning
dc.contributor.author | De Oliveira R. | |
dc.contributor.author | Monteiro L.H.A. | |
dc.date.accessioned | 2024-03-13T01:47:20Z | |
dc.date.available | 2024-03-13T01:47:20Z | |
dc.date.issued | 2000 | |
dc.description.abstract | © 2000 IEEE.Recurrent networks can be used as associative memories where the stored memories represent fixed points to which the dynamics of the network converges. These networks, however, also can present continuous attractors, as limit cycles and chaotic attractors. The use of these attractors in recurrent networks for the construction of associative memories is argued. We provide a training algorithm for continuous attractors and present some numerical results of the learning method which involves genetic algorithms. | |
dc.description.firstpage | 291 | |
dc.description.volume | 2000-January | |
dc.identifier.doi | 10.1109/SBRN.2000.889763 | |
dc.identifier.issn | 1522-4899 | |
dc.identifier.uri | https://dspace.mackenzie.br/handle/10899/38056 | |
dc.relation.ispartof | Proceedings - Brazilian Symposium on Neural Networks, SBRN | |
dc.rights | Acesso Restrito | |
dc.subject.otherlanguage | Associative memory | |
dc.subject.otherlanguage | Chaos | |
dc.subject.otherlanguage | Convergence | |
dc.subject.otherlanguage | Genetic algorithms | |
dc.subject.otherlanguage | Genetic mutations | |
dc.subject.otherlanguage | Information processing | |
dc.subject.otherlanguage | Intelligent networks | |
dc.subject.otherlanguage | Learning systems | |
dc.subject.otherlanguage | Limit-cycles | |
dc.subject.otherlanguage | Recurrent neural networks | |
dc.title | Continuous attractors in recurrent neural networks and phase space learning | |
dc.type | Artigo de evento | |
local.scopus.citations | 0 | |
local.scopus.eid | 2-s2.0-84950291326 | |
local.scopus.subject | Associative memory | |
local.scopus.subject | Chaotic attractors | |
local.scopus.subject | Continuous attractor | |
local.scopus.subject | Convergence | |
local.scopus.subject | Genetic mutations | |
local.scopus.subject | Limit-cycle | |
local.scopus.subject | Recurrent networks | |
local.scopus.subject | Training algorithms | |
local.scopus.updated | 2024-05-01 | |
local.scopus.url | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84950291326&origin=inward |