Gap structure of the local field in symmetric Q Ising neural networks

¹Instituut voor Theoretische Fysica, Katholieke Universiteit Leuven, B-3001 Leuven, Belgium. desire.bolle@fys.kuleuven.ac.be

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|August 22, 2002

Abstract:

The time evolution of the local field in symmetric Q-Ising neural networks is studied for arbitrary Q. In particular, the structure of the noise and the appearance of gaps in the probability distribution are discussed. Results are presented for several values of Q and compared with numerical simulations.

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Abstract:

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