A general account of selection: Biology, immunology, and behavior-Open Peer Commentary-A neural-network interpretation of selection in learning and behavior

Behavioral and Brain Sciences 24 (3):531-532 (2001)

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.
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DOI 10.1017/s0140525x01254168
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