Analytic statistical models by Ib M. Skovgaard

By Ib M. Skovgaard

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A neural complex is evolved by the progressive multiplication of the interneuronal connections. As a result, the participation of an individual neuron in the collective response of the system becomes less strongly deterministic and more probabilistic. ) could be the same every time. Thus, the interconnected neuronal system with the stochastical input-output characteristics corresponds to a redundant system of parallel connections with a wide choice of ways for the signal propagation (or a von Neumann random switch — a computational basic hardware is realizable in terms of neural nets).

Reproduction whole or in part in any form or medium without express written permission of EarthWeb is prohibited. Read EarthWeb's privacy statement. Neural Network Modeling: Statistical Mechanics and Cybernetic Perspectives by P. S. Neelakanta; Dolores DeGroff CRC Press, CRC Press LLC ISBN: 0849324882 Pub Date: 07/01/94 Search Tips Search this book: Advanced Search Previous Table of Contents Next Title ----------- The McCulloch-Pitts neuron is a binary device since it exists in one of two states which can be designated as active and inactive.

The other reason is that, on account of unfamiliarity with biological aspects of the neural system, it is simple and logical to relate the relevant considerations to those with which one is already familiar. ” Accordingly, they demonstrated the computational power and speed of collective analog networks of neurons in solving optimization problems using the principle of collective interactions. In Hopfield’s original model [31], each neuron i has two states: Ãi = 0 (“not firing”) and Ãi = 1 (“firing at maximum rate”).

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