A role for symmetric head-angular-velocity cells: Tuning the head-direction network

Stratton, Peter, Wyeth, Gordon and Wiles, Janet (2009). A role for symmetric head-angular-velocity cells: Tuning the head-direction network. In: Computational and systems neuroscience 2009, Salt Lake City, UT, USA, (). 26 February - 3 March, 2009. doi:10.3389/conf.neuro.06.2009.03.300


Author Stratton, Peter
Wyeth, Gordon
Wiles, Janet
Title of paper A role for symmetric head-angular-velocity cells: Tuning the head-direction network
Conference name Computational and systems neuroscience 2009
Conference location Salt Lake City, UT, USA
Conference dates 26 February - 3 March, 2009
Publication Year 2009
Sub-type Poster
DOI 10.3389/conf.neuro.06.2009.03.300
Language eng
Abstract/Summary Computational models of the head direction (HD) system of the rat usually assume that the connections that maintain HD neuron activity are pre-wired and static. Ongoing activity in these models relies on precise attractor dynamics. It is currently unknown how such connections could be so precisely wired, and how accurate calibration is maintained in the face of ongoing noise and perturbation. A model of the HD system that uses symmetric head-angular-velocity (HAV) cells as a training signal shows that the HD system can learn to support stable firing patterns from poorly-performing, unstable starting conditions. The proposed calibration mechanism explains why symmetric HAV cells in the rat outnumber their asymmetric counterparts. The mechanism also conjectures that the efficacy of one synapse onto a postsynaptic cell can be controlled in part by activity received by that same cell on another synapse. If its existence in biological networks is confirmed, this mechanism will add significantly to our understanding of synaptic plasticity.
Subjects 1109 Neurosciences
08 Information and Computing Sciences
Q-Index Code EX
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Conference Paper
Collection: Queensland Brain Institute Publications
 
Versions
Version Filter Type
Citation counts: Google Scholar Search Google Scholar
Created: Wed, 06 Oct 2010, 16:21:11 EST by Laura McTaggart on behalf of Queensland Brain Institute