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In this first version, competition is forced, so that the most activated neuron is arbitrarily set to one and the others to zero, while in the second, competition occurs naturally due to inhibition between second layer neurons. In the third version of the network, whose architecture is similar to the koniocortex, competition also occurs naturally owing to the interplay between inhibitory interneurons and synaptic and intrinsic plasticity. A more complex associative neural network was developed based on this basic koniocortex-like neural network, capable of dealing with incomplete patterns and ideally suited to operating similarly to a learning vector quantization network. We also discuss the biological plausibility of the networks and their role in a more complex thalamocortical model. <\/jats:p>","DOI":"10.1142\/s0129065716500404","type":"journal-article","created":{"date-parts":[[2016,5,16]],"date-time":"2016-05-16T22:25:37Z","timestamp":1463437537000},"page":"1650040","source":"Crossref","is-referenced-by-count":4,"title":["Intrinsic Plasticity for Natural Competition in Koniocortex-Like Neural Networks"],"prefix":"10.1142","volume":"26","author":[{"given":"Francisco Javier Ropero","family":"Pel\u00e1ez","sequence":"first","affiliation":[{"name":"Center of Mathematics, Computation and Cognition, Federal University of ABC, Santo Andr\u00e9 SP 09210-580 Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mariana Antonia","family":"Aguiar-Furucho","sequence":"additional","affiliation":[{"name":"Neurosciences and Behavior Research Nucleus, University of Sao Paulo, SP 05508-030, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diego","family":"Andina","sequence":"additional","affiliation":[{"name":"Group for Automation in Signal and Communications, Technical University of Madrid, ETSI Telecomunicaci\u00f3n, 28040 Madrid, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2016,6,8]]},"reference":[{"key":"S0129065716500404BIB001","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.90.5.2082"},{"key":"S0129065716500404BIB002","doi-asserted-by":"publisher","DOI":"10.1016\/S0896-6273(00)80623-6"},{"key":"S0129065716500404BIB003","doi-asserted-by":"publisher","DOI":"10.1016\/S0959-4388(00)00239-7"},{"key":"S0129065716500404BIB004","doi-asserted-by":"publisher","DOI":"10.1038\/380249a0"},{"key":"S0129065716500404BIB005","doi-asserted-by":"publisher","DOI":"10.1016\/S0896-6273(00)80169-5"},{"key":"S0129065716500404BIB006","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(92)90004-3"},{"key":"S0129065716500404BIB007","doi-asserted-by":"publisher","DOI":"10.1085\/jgp.40.3.357"},{"key":"S0129065716500404BIB008","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(05)80154-6"},{"key":"S0129065716500404BIB009","first-page":"895","volume":"6","author":"Kohonen T.","year":"1993","journal-title":"Neural Netw."},{"key":"S0129065716500404BIB010","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.3.334"},{"key":"S0129065716500404BIB011","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.1.77"},{"key":"S0129065716500404BIB012","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2230451"},{"key":"S0129065716500404BIB013","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2006.883724"},{"key":"S0129065716500404BIB014","doi-asserted-by":"publisher","DOI":"10.1007\/s00422-007-0168-y"},{"key":"S0129065716500404BIB015","doi-asserted-by":"publisher","DOI":"10.1109\/72.822521"},{"key":"S0129065716500404BIB016","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(05)80006-1"},{"key":"S0129065716500404BIB017","volume-title":"Parallel Distributed Processing: Exploration in the Microstructure of Cognition","author":"McClelland J. 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