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Analog implementation for networks of integrate-and-fire neurons with adaptive local connectivity

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5 Author(s)
Schreiter, S. ; Dept. of Electr. Eng. & Inf. Technol., Dresden Univ. of Technol., Germany ; Ramacher, U. ; Heittmann, A. ; Matolin, D.
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An analog VLSI implementation for pulse coupled neural networks of leakage free integrate-and-fire neurons with adaptive connections is presented. Weight adaptation is based on existing adaptation rules for image segmentation. Although both integrate-and-fire neurons and adaptive weights can be implementation only approximately, simulations have shown, that synchronization properties of the original adaptation rules are preserved.

Published in:

Neural Networks for Signal Processing, 2002. Proceedings of the 2002 12th IEEE Workshop on

Date of Conference:

2002

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