Titlebook: Neural and Synergetic Computers; Proceedings of the I Hermann Haken Conference proceedings 1988 Springer-Verlag Berlin Heidelberg 1988 brai

Provenance

Local Synaptic Rules with Maximal Information Storage Capacityom too close a look at reality and to work with caricatures. It is in this spirit that we want to compare and analyse a family of mathematical neural network models that investigate learning and synaptic plasticity (e.g. [1],[3],[4]).

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Movement Detectors of the Correlation Type Provide Sufficient Information for Local Computation of tquestion about whether the spatio-temporal brightness distributions contain sufficient information to calculate the correct 2-D velocity field. Here we show that the 2-D velocity field generated by motion parallel to the image plane can be computed by purely local mechanisms.

enmesh

onian with potential supported on a discrete (finite or infinite) set of points (“sources”). Such point interaction models are (“solvable”) in the sense that their resolvents can be given explicitly in terms of the interaction strengths and the location of the sources. As a consequence the spectrum,

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H. Hakenonian with potential supported on a discrete (finite or infinite) set of points (“sources”). Such point interaction models are (“solvable”) in the sense that their resolvents can be given explicitly in terms of the interaction strengths and the location of the sources. As a consequence the spectrum,

DAMP

A. Fuchs,H. Haken of molecular reactions inside the condensed phase as emphasized in the introduction chapter. The reaction process is described by a multi-state equation as given by Eq. 1.71. In the special limit ., the multi-state equation reduces to an effective single-state description. And so far, the literatur

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