Abstract

Hebb's theory of cell assemblies is a precursor of the neural network approach used as an implicit hypothesis by most contemporary neuroscientists. Applying this model to language representation leads to demanding predictions about the organization of semantic categories. Other implications of a Hebbian approach to language representation, however, may prove problematic with respect to both neurolinguistic concepts and the results of neuroimaging studies.