A high order neural model
The interaction between afferent nerves had always been regarded as a phenomenon which is produced outside the neuron. This work presents an extension of the classic concept of interaction between inputs, including the possibility of higher-order effects at the level of neuronal activity function. The mathematics is formulated with a view to its algorithmic simulation being implemented in a multiprocessor system by means of an adequate programming language running as a multi-elemental processor parallel computer. The system that is finally presented is a higher-ordered neural network with nonsupervised learning implemented in a multilayer structure.
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