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 [email protected]


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.