Equivalent Dynamics from Disparate Synaptic Weights in a Prevalent Visual Circuit

dc.creatorCaudill, M. S.
dc.creatorBrandt, S. F.
dc.creatorNussinov, Z.
dc.creatorWessel, R.
dc.date2009-03-16
dc.date2009-03-17
dc.date.accessioned2026-07-07T12:52:43Z
dc.date.available2026-07-07T12:52:43Z
dc.descriptionNeural feedback-triads consisting of two feedback loops with a non-reciprocal lateral connection from one loop to the other are ubiquitous in the brain. We show analytically that the dynamics of this network topology are determined by two algebraic combinations of its five synaptic weights. Thus different weight settings can generate equivalent network dynamics. Exploration of network activity over the two-dimensional parameter space demonstrates the importance of the non-reciprocal lateral connection and reveals intricate behavior involving continuous transitions between qualitatively different activity states. In addition, we show that the response to periodic inputs is narrowly tuned around a center frequency determined by the two effective synaptic parameters.
dc.description5 pages, 4 figures
dc.identifierhttps://arxiv.org/abs/0903.2569
dc.identifierhttp://arxiv.org/abs/0903.2569
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/223388
dc.subjectNeurons and Cognition
dc.subjectDisordered Systems and Neural Networks
dc.titleEquivalent Dynamics from Disparate Synaptic Weights in a Prevalent Visual Circuit
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