Abstract
Current evidence suggests that neural Hebbian learning in cortical and hippocampal synapses is fundamentally predictive rather than conventionally correlational. Much attention is focussing on what sort of predictions are acquired, and in what neural architectures. A recent paper by Rao and Sejnowski has suggested an interesting interpretation in terms of a popular predictive algorithm that has roots in psychology, computer science and engineering.
