Describing behavioral states using a system model of the primate brain

A system model of the primate neocortex is presented, based mainly on the n euroanatomy of the rhesus macaque monkey and consisting of a set of process ing modules arranged as a perception-action hierarchy. These modules corres pond to regions of the neocortex and their connectivity to that of the neoc ortex. A computational approach based on predicate logic is explained, and the results of a computer implementation of the model are reported, which d emonstrate social behaviors involving affiliation and social conflict. The behavioral states of primates involved in these behaviors can be represente d by the states of the system model, which have a logical representation an d a diagrammatic form. It is shown how the behavioral states in goal-direct ed behaviors can be represented and also their short term moment-to-moment development in time. It is then shown how the state of social interaction a mong two or more primates can be represented, using their individual behavi oral states, with interindividual action and perception. The causal dynamic s of behavioral states is explained and also a control mechanism, namely, t he use of confirmation signals, which stabilizes behavioral states and thei r dynamics. Stabilized behavioral states are seen as corresponding to coher ent activations of the system, resulting from successful selection of modul e activations and intermodule communication with confirmation. Am. J. Prima tol. 49:315-338, 1999. (C) 1999 Wiley-Liss, Inc.