NDLI: Information Rate of Neural Spike Trains in Response to Sinusoidal Electric Stimuli in the Presence of a Pseudo-spontaneous Activity

Content Provider	IEEE Xplore Digital Library
Author	Mino, H.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Kanto Gakuin Univ., Yokohama (Mino, H.)
Abstract	This article presents an analysis of the information rate of neural spike trains in an auditory nerve fiber (ANF) model stimulated extracellularly by sinusoidal electric stimuli under the case where a high-rate pulsatile waveform is presented as a conditioner for increasing the across-fiber-independency, i.e., desynchronization. In the computer simulation, stimulus current waveforms were presented repeatedly to a stimulating electrode located 1 mm above the 26th node of Ranvier, in an ANF axon model having 50 nodes of Ranvier, each consisting of stochastic sodium and potassium channels. From spike firing times recorded at the 36th node of Ranvier, the inter spike intervals were generated and then "total" and "noise" entropies were estimated to obtain the mutual information and information rate of the spike trains. In the present article, it is shown that at a specific amplitude of sinusoidal waveforms, the possibility to encode the sinusoidal function with various amplitudes became greater (enlarging dynamic range), as well as the information rate was found to be maximized. It was implied that setting the amplitude of sinusoids to the specific values which maximize the information rate might contribute to efficiently encoding information under the high-rate pulsatile stimulation in cochlear prostheses
Starting Page	417
Ending Page	420
File Size	289297
Page Count	4
File Format	PDF
ISBN	0780387414
DOI	10.1109/IEMBS.2005.1616434
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Information rates Nerve fibers Information analysis Computer simulation Electrodes Stochastic resonance Noise generators Entropy Mutual information Dynamic range
Content Type	Text
Resource Type	Article

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