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Neural dynamics leading to optimized...

Chacron, Maurice J.

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Neural dynamics leading to optimized information transfer.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Neural dynamics leading to optimized information transfer./
Author:	Chacron, Maurice J.
Description:	192 p.
Notes:	Adviser: Andre Longtin.
Contained By:	Dissertation Abstracts International64-10B.
Subject:	Biology, Neuroscience. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NQ85357
ISBN:	9780612853577

Neural dynamics leading to optimized information transfer.
Chacron, Maurice J.

Neural dynamics leading to optimized information transfer. - 192 p.

Adviser: Andre Longtin.

Thesis (Ph.D.)--University of Ottawa (Canada), 2003.

Neural information processing by trains of action potentials is studied in the context of weakly electric fish electroreceptor neurons. A simple but accurate dynamical model for the firing activity of these neurons is presented and compared with experimental results. Dynamical analysis of the model reveals the mechanism by which it reproduces features present in experimental data, such as relative refractoriness and bursting behaviour. Approximations necessary for application of information theory to neural spike trains are presented and different measures are compared. Finally, the consequences of spike patterning caused by relative refractoriness and bursting on information transfer are investigated. It is found that relative refractoriness can increase information transfer while bursting provides a non-linear mechanism for encoding information that might be more efficient than firing of isolated spikes.

ISBN: 9780612853577Subjects--Topical Terms:

1017680
Biology, Neuroscience.

Neural dynamics leading to optimized information transfer.
LDR:01784nam 2200277 a 45 001 971785
005 20110927
008 110927s2003 eng d
020 $a 9780612853577
035 $a (UnM)AAINQ85357
035 $a AAINQ85357
040 $a UnM $c UnM
100 1 $a Chacron, Maurice J. $3 1295815
245 1 0 $a Neural dynamics leading to optimized information transfer.
300 $a 192 p.
500 $a Adviser: Andre Longtin.
500 $a Source: Dissertation Abstracts International, Volume: 64-10, Section: B, page: 4817.
502 $a Thesis (Ph.D.)--University of Ottawa (Canada), 2003.
520 $a Neural information processing by trains of action potentials is studied in the context of weakly electric fish electroreceptor neurons. A simple but accurate dynamical model for the firing activity of these neurons is presented and compared with experimental results. Dynamical analysis of the model reveals the mechanism by which it reproduces features present in experimental data, such as relative refractoriness and bursting behaviour. Approximations necessary for application of information theory to neural spike trains are presented and different measures are compared. Finally, the consequences of spike patterning caused by relative refractoriness and bursting on information transfer are investigated. It is found that relative refractoriness can increase information transfer while bursting provides a non-linear mechanism for encoding information that might be more efficient than firing of isolated spikes.
590 $a School code: 0918.
650 4 $a Biology, Neuroscience. $3 1017680
650 4 $a Biophysics, General. $3 1019105
690 $a 0317
690 $a 0786
710 2 0 $a University of Ottawa (Canada). $3 1017488
773 0 $t Dissertation Abstracts International $g 64-10B.
790 $a 0918
790 1 0 $a Longtin, Andre, $e advisor
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NQ85357