Adaptive neural encoder model with selfinhibition and threshold control |
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| Authors: | Y Y Zeevi A M Bruckstein |
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| Institution: | (1) Faculty of Electrical Engineering Technion, Israel Institute of Technology, Haifa, Israel;(2) Information Systems Laboratory Department of Electrical Engineering, Stanford University, 94305 Stanford, CA, USA |
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| Abstract: | A general model for an adaptive neural encoder relating the output firing frequency to input stimulus is presented. The model is based on an  integrate and fire at threshold scheme and includes cumulative inhibitory feedback as well as output rate dependent threshold control. |
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