Informationsverarbeitung in homogenen Netzen von Neuronenmodellen

Autor: W. v. Seelen
Rok vydání: 1968
Předmět:
Zdroj: Kybernetik. 5:133-148
ISSN: 0023-5946
DOI: 10.1007/bf00271247
Popis: The interconnection structures of the peripheral part of the nervous system, which are considered here, are two-dimensional homogeneous networks with time and space dependent inputs and outputs. The principles of connection under consideration comprise lateral inhibition and facilitation. The transfer functions of those linear networks as well as the stability problem are investigated on a digital computer using different system parameters. A closed form solution is given for an infinitely large element density which describes the network properties. In this case an inhibition system acts as high pass filter on the spatial frequencies of the input, whereas a facilitation network acts as low pass filter. The properties of the networks and the transformations in case of moving patterns are analysed using the methods of systems theory.
Databáze: OpenAIRE