DocumentCode :
2048976
Title :
A neural mechanism of hyperaccurate detection of phase advance and delay in electrosensory system of weakly electric fish
Author :
Kashimori, Y. ; Kambara, Takoshi
Author_Institution :
Dept. of Appl. Phys. & Chem., Univ. of Electro-Commun., Tokyo, Japan
Volume :
2
fYear :
1999
fDate :
1999
Firstpage :
453
Abstract :
Weakly electric fish, Eigenmannia, can detect the time difference of the order of 1 μsec between a jamming signal and its own signal. To clarify the neural mechanism of the hyperaccurate detection of time difference, we proposed a cellular model of a single neuron and a network model for detection of phase advances and delays. The single neuron model can detect the time difference of the order of tens μ sec. A single layer network consisting of the neuron model detects the phase advance and delay up to 60 μ sec. The multilayer network model obtains a detection ability up to 20 μ by superimposing the outputs of multilayers induced by the signals with noises of optimal intensity
Keywords :
bioelectric phenomena; biology computing; neural nets; temporal reasoning; zoology; Eigenmannia; cellular model; detection ability; electrosensory system; hyperaccurate detection; jamming signal; multilayer network model; network model; neural mechanism; optimal intensity noise; phase advance; phase advances; single layer network; single neuron model; time difference; weakly electric fish; Brain modeling; Cellular neural networks; Delay effects; Delay systems; Jamming; Marine animals; Neurons; Phase detection; Physics; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-5871-6
Type :
conf
DOI :
10.1109/ICONIP.1999.845637
Filename :
845637
Link To Document :
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