Neuroscience 2003 Abstract
| Presentation Number: | 581.14 |
|---|---|
| Abstract Title: | Probabilistic neurotransmitter release for dynamic synapse neural networks. |
| Authors: |
Dibazar, A. A.*1
; Namarvar, H. H.1
; George, S.1
; Berger, T. W.1
1Biomed. Eng., USC, Los Angeles, CA |
| Primary Theme and Topics |
Synaptic Transmission and Excitability - Synaptic Transmission -- Presynaptic mechanisms |
| Session: |
581. Presynaptic Mechanisms: Release Probability & Synaptic Dynamics Poster |
| Presentation Time: | Tuesday, November 11, 2003 9:00 AM-10:00 AM |
| Location: | Morial Convention Center - Hall F-I, Board # D71 |
| Keywords: |
In this paper, we propose a probabilistic neurotransmitter release for Dynamic Synapses Neural Network (DSNNs). The capabilities of DSNNs have already been investigated in the processing of spatio-temporal patterns of action potentials [Jim-Shih Liaw and Theodore W. Berger, 1996]. The deterministic model of synapse is substituted by probabilistic Markov model. The action potentials generated by auditory system are the inputs of the model. The probability of neurotransmitter release is then estimated from the model. In general, the aim of this study is to present a robust pure tone recognition system based on DSNN. To generate action potential from music tone we have employed pulse code modulation method. The action potentials are plugged into the DSNN for recognition purpose. Our simulation results showed that the DSNN based on probabilistic release has 4% better recognition performance with respect to the deterministic model [Alireza A. Dibazar and et al., SFN 2002]. This work supported in part by DARPA-CVS, NASA, and ONR.
Sample Citation:
[Authors]. [Abstract Title]. Program No. XXX.XX. 2003 Neuroscience Meeting Planner. New Orleans, LA: Society for Neuroscience, 2003. Online.
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