Feature Detectors, Visumotor Coordination and Efferent Control

The perspective of this paper on feature detectors is that of a neuroscientist who is not an experimentalist but, rather, a brain theorist. As was brought out in David Marr’s talk, there are two complementary approaches to brain theory. The “bottom-up” approach starts from detailed information about individual neurons and tries to analyze their behavior when connected together in simple or highly regular neural nets. The “top-down” approach draws many ideas from AI (Artificial Intelligence) without in any sense being driven by it, in trying to analyze what pattern of interactions between what sort of sub-systems might be required to achieve some overall process. This talk will exhibit the interaction between the attempt to think about necessary processes in visually guided behavior and the data from neurophysiology concerning nerve circuits that subserve these tasks. While my own work is in theory, experiments will be continually coloring the story as we go along.

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