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George N. Reeke, Jr.
Associate Professor

Research Focus:

Dinamic properties of cells used in simulation Interest centers on the nervous system, which provides the biological substrate for behavior and higher thought processes. Models are being constructed that attempt to provide a conceptual bridge between the physical phenomena occurring in the nervous system and the psychological level. A technique called synthetic neural modeling is used to construct computer-simulated organisms with senses, motor outputs, and a nervous system. Neurons in these models have biologically realistic properties based on experimental neurophysiology. They interact with each other and with the environment according to a comprehensive Darwinian view of population dynamics in the nervous system proposed by G.M. Edelman.

Interacting neurons in a simulated brain areaThe ability of model organisms to display adaptive behavior has been tested both in simulated worlds and in the real world, under conditions of both normal and impaired nervous system function. These models have shown how the ability to recognize objects and events in the environment can arise in the developing nervous system as a result of the operation of selective processes guided by innate value systems. There is no need for built-in representational codes or computational algorithms, nor for feedback of error signals from omniscient external teachers. These results call into question the popular theory that the brain is a kind of computer.

Areas of particular interest for exploration by synthetic neural modelling include sensory integration, perceptual categorization, control of locomotion, and aspects of memory. Current work focusses on neural mechanisms for recognition and recall of temporal patterns, which are of fundamental importance for language and music. Studies of this kind should help us reach a greater understanding of the function of normal and diseased brains, particularly at the level of the integrative function of the nervous system as a whole, which is not readily accessible to standard experimental techniques. Publications
Publications