Date of this Version
Advances in Neural Information Processing Systems
Quantitative data on the speed with which animals acquire behavioral responses during classical conditioning experiments should provide strong constraints on models of learning. However, most models have simply ignored these data; the few that have attempted to address them have failed by at least an order of magnitude. We discuss key data on the speed of acquisition, and show how to account for them using a statistically sound model of learning, in which differential reliabilities of stimuli play a crucial role.
Kakade, S. M., & Dayan, P. (1999). Acquisition in Autoshaping. Advances in Neural Information Processing Systems, 12 Retrieved from https://repository.upenn.edu/statistics_papers/219
Date Posted: 27 November 2017
This document has been peer reviewed.