Acquisition in Autoshaping
Sham Kakade and Peter Dayan
Gatsby Computational Neuroscience Unit
University College London
In Advances in Neural Information Processing Systems 12, MIT Press, Cambridge, MA
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.
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