Attractor neural networks with patchy connectivity
2006 (English)In: Neurocomputing, ISSN 0925-2312, Vol. 69, no 7-9, 627-633 p.Article in journal (Refereed) Published
The neurons in the mammalian visual cortex are arranged in columnar structures, and the synaptic contacts of the pyramidal neurons in layer II/III are clustered into patches that are sparsely distributed over the surrounding cortical surface. Here, We use an attractor neural-network model of the cortical circuitry and investigate the effects of patchy connectivity, both on the properties of the network and the attractor dynamics. An analysis of the network shows that the signal-to-noise ratio of the synaptic potential sums are improved by the patchy connectivity, which results in a higher storage capacity. This analysis is performed for both the Hopfield and Willshaw learning rules and the results are confirmed by simulation experiments.
Place, publisher, year, edition, pages
2006. Vol. 69, no 7-9, 627-633 p.
attractor neural network, patchy connectivity, clustered connections, neocortex, small world network, hypercolumn
IdentifiersURN: urn:nbn:se:kth:diva-6311DOI: 10.1016/j.neucom.2005.12.002ISI: 000235797000002ScopusID: 2-s2.0-32644438075OAI: oai:DiVA.org:kth-6311DiVA: diva2:10990
QC 20100831. Conference: 13th European Symposium on Artificial Neural Networks (ESANN). Brugge, BELGIUM. APR, 20052006-11-012006-11-012011-12-29Bibliographically approved