Matters temporal.
Peter Dayan
Trends in Cognitive Sciences, 5 , 105-106.
Abstract
Current evidence suggests that neural Hebbian learning in cortical
and hippocampal syna\-pses is fundamentally predictive rather than
conventionally correlational. Exactly what sort of predictions are
acquired, and in what neural architectures, is the focus of
substantial work. A recent paper by Rao & Sejnowski (2001) has
suggested an interesting interpretation in terms of a popular
predictive algorithm which has roots in psychology, computer science
and engineering.
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