Web Reference: Neuroevolution is a computational modeling technique in which an artificial neural network architecture and/or parameters are optimized through evolutionary computation. In this paper, we provide a summary of some of this work, focusing on results that arise from expanding the NEF’s principles while adopting its core assumptions regarding continuous spatiotemporal neural representations as being the best way to characterize neurobiological systems. Turing's B-type u-machines resemble primitive neural networks, and connections between neurons were learnt via a sort of genetic algorithm. His P-type u-machines resemble a method for reinforcement learning, where pleasure and pain signals direct the machine to learn certain behaviors.
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Evolutionary Computing Based Neuron Computational Net Worth 2026: Salary, Income & Wealth Net Worth & Biography
Estimated Worth: $40M - $74M
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Last Updated: April 11, 2026
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