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SOME NONLINEAR NETWORKS CAPABLE OF LEARNING A SPATIAL PATTERN OF ARBITRARY COMPLEXITY

Proceedings of the National Academy of SciencesPublished 1 February 1968Open access
Stephen Grossberg
Citations148
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TL;DR

This note describes some nonlinear net networks, which learn a spatial pattern, in "black and white," of arbitrary size and complexity, and lists in heuristic terminology some of the properties which arise in the learning of patterns.

Abstract

Gene expression variation is shaped by both genetic and environmental effects, yet these two factors are rarely considered together in the context of adaptive evolution. We studied environmental influences on gene regulatory evolution in ...Changes in gene expression are thought to play a major role in adaptive evolution. While it is known that gene expression is highly sensitive to the environment, very few studies have determined the influence of genetic and environmental effects on ...

Keywords

Computer Science