Abstract
Klopf (1988) presents a formal real-time model of classical conditioning which generates a wide range of behavioral Pavlovian phenomena. We describe a replication of his simulation results and summarize some of the strengths and shortcomings of the drive-reinforcement model as a real-time behavioral model of classical conditioning. To facilitate further comparison of Klopf#’s model with neuronal capabilities, we present a pulse-coded reformulation of the model that is more stable and easier to compute than the original, frequency-based model. We then review three ancillary assumptions to the model#’s learning algorithm, noting that each can be seen as dually motivated by both behavioral and biological considerations.
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This research was supported by an Office of Naval Research grant to R. F. Thompson and M. A. Gluck.
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Gluck, M.A., Parker, D.B. & Reifsnider, E. Some biological implications of a differential-Hebbian learning rule. Psychobiology 16, 298–302 (1988). https://doi.org/10.3758/BF03327321
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DOI: https://doi.org/10.3758/BF03327321