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Synaptic Darwinism and neocortical function
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DOI：10.1016/S0925-2312(01)00591-4.png)
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Abstract
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We propose that certain brain systems, such as those of neocortex, exploit a fusion of ideas from neural networks and evolutionary computation, and that several previously puzzling features of thalamocortical circuitry and physiology can be understood as consequences of this fusion. The starting point is a consideration of anatomical! errors in the recently described digital strengthening of synaptic connections, which are analogous to mutations. A mathematical model of this process shows the equivalence of the intrinsic error rate and a correlation ratio which reflects the spatial variation in the degree of synchrony of neural firing. The correlation ratio plays a similar role to fitness ratios in genetic algorithms. It is argued that a major trend in brain evolution has been decreases in the intrinsic error rate, allowing increases in circuit complexity, but that biophysical limits to this trend have forced the neocortex to adopt a virtual error-reduction strategy. This requires online measurement of correlation ratios and control of the plasticity of the connections formed by individual neurons. (C) 2002 Elsevier Science B.V. All rights reserved.
Keywords:
neural networks
synaptic error
neocortex
evolutionary computation
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