Analog implementation for networks of integrate-and-fire neurons with adaptive local connectivity
نویسندگان
چکیده
An analog VLSI implementation for pulse coupled neural networks of leakage free integrate-and-fire neurons is presented. The network can be used for rubust signal processing and image processing taks such as segmentation. Synchronity is achieved by adaptive local connections only. Implementation of both integrateand-fire neurons and adpative weights is developed in detail. The synchronisation capabilities are verified by simulations.
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