Home > Archives > Additional Archives > Terrence Sejnowski   Terrence Sejnowski Howard Hughes Medical Institute The Salk Institute for Biological Studies Department of Biology, UCSD La Jolla, CA terry@salk.edu Computational Constraints on Brain Evolution   Learning from experience is a powerful way to enhance survival. Predictive Hebbian learning, which can be used to predict future rewards, is found in a wide range of species, from bees to humans, and is found in evolutionarily old parts of the brain. Recently it has been shown that the same rule is implemented in the cerebral cortex where it may be used in an unsupervised way to make predictions about the future states of the world on a much faster time scale. Such learning of fast temporal sequences may have made possible the fine articulation needed for speech control in humans.
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