Abstract
This chapter describes some recent results about biological models of unsupervised, realtime, error-based learning. In particular, we describe a new model called a Vector Associative Map, or VAM, and illustrate it with examples drawn from the learning of multidimensional associative maps and adaptive sensory-motor control.
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