Unsupervised learning of synaptic delays based on learning automata in an RBF-like network of spiking neurons for data clustering-Reference-Cited by-同舟云学术

Unsupervised learning of synaptic delays based on learning automata in an RBF-like network of spiking neurons for data clustering

Published:2005-03 Issue: Volume:64 Page:335-357
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Adibi P.,Meybodi M.R.,Safabakhsh R.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference22 articles.

1. S.M. Bohte, A.P. Han, N.K. Kok, Unsupervised clustering with spiking neurons by sparse temporal coding multi-layer RBF networks, in: Proceeding of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000, pp. 279–284.

2. Error-backpropagation in temporally encoded networks of spiking neurons;Bohte;Neurocomputing,2002

3. Self-organization and segmentation in a laterally connected orientation map of spiking neurons;Choe;Neurocomputing,1998

4. Delay adaptation in the nervous system;Eurich;Neurocomputing,2000

5. Dynamics of self-organized delay adaptation;Eurich;Phys. Rev. Lett.,2000

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