Learning contrast-invariant cancellation of redundant signals in neural systems

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dc.contributor.authorMejias, Jorge F
dc.contributor.authorMarsat, Gary
dc.contributor.authorBol, Kieran
dc.contributor.authorMaler, Leonard
dc.contributor.authorLongtin, André
dc.date.accessioned2014-10-01T02:31:08Z
dc.date.available2014-10-01T02:31:08Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationMejias JF, Marsat G, Bol K, Maler L, Longtin A (2013) Learning Contrast-Invariant Cancellation of Redundant Signals in Neural Systems. PLoS Comput Biol 9(9): e1003180.
dc.identifier.urihttp://hdl.handle.net/10393/31673
dc.identifier.urihttp://www.ploscompbiol.org/article/fetchObject.action?uri=info%3Adoi%2F10.1371%2Fjournal.pcbi.1003180&representation=PDF
dc.description.abstractCancellation of redundant information is a highly desirable feature of sensory systems, since it would potentially lead to a more efficient detection of novel information. However, biologically plausible mechanisms responsible for such selective cancellation, and especially those robust to realistic variations in the intensity of the redundant signals, are mostly unknown. In this work, we study, via in vivo experimental recordings and computational models, the behavior of a cerebellar-like circuit in the weakly electric fish which is known to perform cancellation of redundant stimuli. We experimentally observe contrast invariance in the cancellation of spatially and temporally redundant stimuli in such a system. Our model, which incorporates heterogeneously-delayed feedback, bursting dynamics and burst-induced STDP, is in agreement with our in vivo observations. In addition, the model gives insight on the activity of granule cells and parallel fibers involved in the feedback pathway, and provides a strong prediction on the parallel fiber potentiation time scale. Finally, our model predicts the existence of an optimal learning contrast around 15% contrast levels, which are commonly experienced by interacting fish.
dc.language.isoen
dc.titleLearning contrast-invariant cancellation of redundant signals in neural systems
dc.typeArticle
dc.identifier.doi10.1371/journal.pcbi.1003180
CollectionPublications en libre accès financées par uOttawa // uOttawa financed open access publications

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