Calibration of the head direction network: a role for symmetric angular head velocity cells

Stratton, Peter, Wyeth, Gordon and Wiles, Janet (2010) Calibration of the head direction network: a role for symmetric angular head velocity cells. Journal of Computational Neuroscience, 28 3: 527-538. doi:10.1007/s10827-010-0234-7


Author Stratton, Peter
Wyeth, Gordon
Wiles, Janet
Title Calibration of the head direction network: a role for symmetric angular head velocity cells
Journal name Journal of Computational Neuroscience   Check publisher's open access policy
ISSN 0929-5313
1573-6873
Publication date 2010-06
Sub-type Article (original research)
DOI 10.1007/s10827-010-0234-7
Volume 28
Issue 3
Start page 527
End page 538
Total pages 12
Place of publication Boston, MA USA
Publisher Kluwer Academic Publishers
Collection year 2011
Language eng
Formatted abstract
Continuous attractor networks require calibration. 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 continuous 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. Our adaptive attractor model of the HD system that uses symmetric angular head velocity (AHV) 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 suggests a requirement for symmetric AHV cells, the existence of which has previously been unexplained, and predicts that symmetric and asymmetric AHV cells should be distinctly different (in morphology,  synaptic targets and/or methods of action on postsynaptic HD cells) due to their distinctly different functions.
c Springer Science+Business Media, LLC 2010
Keyword Head direction
Attractor
Calibration
Angular head velocity
Symmetric cells
Path-integration
Spatial Map
System
Potentiation
Plasticity
Synapse
Neurons
Signal
Model
Rat
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Received: 13 May 2009 / Revised: 18 February 2010 / Accepted: 17 March 2010 / Published online: 31 March 2010

 
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Created: Sun, 20 Jun 2010, 00:04:31 EST