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Nodal chip for parallel neural signal processing


ESSCIRC '93. 19th European Solid State Circuits Conference. Proceedings
Gif-sur-Yvette Cedex: Editions Frontieres, 1993
ISBN: 2-86335-134-X
S.82-85 : Lit.
European Solid State Circuits Conference (ESSCIRC) <19, 1993, Sevilla>
Fraunhofer IMS ()
biocybernetics; Biokybernetik; Biologie; biology; digital computer; Digitalrechner; Nervensystem; nervous system; network architecture; Netzwerkarchitektur; neuronales Netzwerk; packet switching; Paketvermittlung; parallel computer system; parallel machine; Parallelrechnersystem; Parallelverarbeitung; Superrechner

This work describes a neural network chip which allows combining massive parallel interneural communication with sophisticated intraneural computation and can be used for construction of neural network systems. The chip enables the emulation of different types of neurons including biologically inspired models based on activity pulses, learnable synaptic weights and delays, variable neuron gain, calculation of membrane potential, and static and dynamic thresholding. The chip makes it possible to build neural grid arrays where each node contains one chip and possesses global communication capability despite locally interconnected chips.