| Literature DB >> 10724459 |
Abstract
In this paper we consider an approach to neuronal transients that is predicated on the information they contain. This perspective is provided by information theory, in particular the principle of maximum information transfer. It is illustrated here in application to visually evoked neuronal transients. The receptive fields that ensue concur with those observed in the real brain, predicting, almost exactly, functional segregation of the sort seen in the visual system. This information theoretical perspective can be reconciled with a selectionist stance by noting that a high mutual information among neuronal systems and the environment has, itself, adaptive value and will be subject to selective pressure, at any level one cares to consider.Mesh:
Year: 2000 PMID: 10724459 PMCID: PMC1692727 DOI: 10.1098/rstb.2000.0562
Source DB: PubMed Journal: Philos Trans R Soc Lond B Biol Sci ISSN: 0962-8436 Impact factor: 6.237