Behavioral and Brain Sciences



Short Communication

A neural-network interpretation of selection in learning and behavior


José E Burgos a1
a1 University of Guadalajara, Col. Chapalita, Guadalajara, Jalisco 45030, Mexico jburgos@cucba.udg.mx www.udgserv.cencar.udg.mx/~ceip/

Abstract

In their account of learning and behavior, the authors define an interactor as emitted behavior that operates on the environment, which excludes Pavlovian learning. A unified neural-network account of the operant-Pavlovian dichotomy favors interpreting neurons as interactors and synaptic efficacies as replicators. The latter interpretation implies that single-synapse change is inherently Lamarckian.