An Adaptable Boolean Neural Net Obtained by Connecting Seven Node Asssemblies
Part of the Perspectives in Neural Computing book series (PERSPECT.NEURAL)
We present the seven node Boolean neural subnet playing the assembly role so allowing us to implement an Hebbian rule in the Boolean net obtained by connecting them.
KeywordsSensory Input Coupling Coefficient Empty Circle Hebbian Rule Node Assembly
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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