A biophysical model of adaptive noise filtering in the shark brain

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dc.contributor.author Bratby, Peter en
dc.contributor.author Montgomery, John en
dc.contributor.author Sneyd, A en
dc.date.accessioned 2014-11-23T23:04:20Z en
dc.date.issued 2014-02 en
dc.identifier.citation Bulletin of Mathematical Biology, 2014, 76 (2), pp. 455 - 475 en
dc.identifier.issn 0092-8240 en
dc.identifier.uri http://hdl.handle.net/2292/23565 en
dc.description.abstract Sharks detect their prey using an extremely sensitive electrosensory system that is capable of distinguishing weak external stimuli from a relatively strong background noise generated by the animal itself. Experiments indicate that part of the shark's hindbrain, the dorsal octavolateralis nucleus (DON), is responsible for extracting the external stimulus using an adaptive filter mechanism to suppress signals correlated with the shark's breathing motion. The DON's principal neuron integrates input from afferents as well as many thousands of parallel fibres transmitting, inter alia, breathing-correlated motor command signals. There are a number of models in the literature, studying how this adaptive filtering mechanisms occurs, but most of them are based on a spike-train model approach.This paper presents a biophysically based computational simulation which demonstrates a mechanism for adaptive noise filtering in the DON. A spatial model of the neuron uses the Hodgkin-Huxley equations to simulate the propagation of action potentials along the dendrites. Synaptic inputs are modelled by applied currents at various positions along the dendrites, whose input conductances are varied according to a simple learning rule.Simulation results show that the model is able to demonstrate adaptive filtering in agreement with previous experimental and modelling studies. Furthermore, the spatial nature of the model does not greatly affect its learning properties, and in its present form is effectively equivalent to an isopotential model which does not incorporate a spatial element. en
dc.format.medium Print-Electronic en
dc.language eng en
dc.relation.ispartofseries Bulletin of Mathematical Biology en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.springer.com/gp/open-access/authors-rights/self-archiving-policy/2124 http://www.sherpa.ac.uk/romeo/issn/0092-8240/ en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title A biophysical model of adaptive noise filtering in the shark brain en
dc.type Journal Article en
dc.identifier.doi 10.1007/s11538-013-9928-0 en
pubs.issue 2 en
pubs.begin-page 455 en
pubs.volume 76 en
dc.identifier.pmid 24402471 en
pubs.end-page 475 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Article en
pubs.elements-id 424036 en
pubs.org-id Science en
pubs.org-id Marine Science en
pubs.org-id Mathematics en
pubs.org-id Science Research en
pubs.org-id Maurice Wilkins Centre (2010-2014) en
dc.identifier.eissn 1522-9602 en
pubs.record-created-at-source-date 2014-11-24 en
pubs.dimensions-id 24402471 en

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