NDLI: Enhancement of Information Transmission with Stochastic Resonance: Influence of Stimulating Position in Hippocampal CA1 Neuron Models

Content Provider	IEEE Xplore Digital Library
Author	Mino, H. Durand, D.M.
Copyright Year	2007
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Kanto Gakuin Univ., Yokohama (Mino, H.)
Abstract	Stochastic resonance (SR) has been shown to enhance the signal to noise ratio or detection of signals in neurons. It is not yet clear how this effect of SR on the signal to noise ratio affects signal processing in neural networks. In this paper, we test the hypothesis that SR can improve information transmission in which sub-threshold stimuli are driven to distal positions on the dendritic trees of hippocampal CA1 neuron models. From spike firing times recorded at the soma, 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. The simulation results show that the information rate reached a maximum value at a specific amplitude of the background noise in which sub-threshold stimuli were driven to distal positions on dendritic trees, while the information rate decreased as the noise intensity increased in which supra-threshold stimuli were driven to a proximal position. It is implied that SR can play a key role in improving the information transmission in the case of the sub-threshold input located at distal positions on the dendritic trees
Starting Page	680
Ending Page	683
File Size	803603
Page Count	4
File Format	PDF
ISBN	1424407915
DOI	10.1109/CNE.2007.369764
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hodgkin-Huxley model Numerical Method Stochastic Resonance Synaptic Noise Neurons Background noise Monte Carlo Simulation Information rates Strontium Homogeneous Poisson Process Stochastic resonance Neural networks Signal processing Shot Noise Action Potential Signal detection Signal to noise ratio Testing
Content Type	Text
Resource Type	Article

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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