Evolutionary conservation and ontogenetic emergence of neural algorithms

Wagner, H; Kautz, D

doi:10.1152/jn.1994.71.5.1907

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Evolutionary conservation and ontogenetic emergence of neural algorithms

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Wagner, H
Former Department Comparative Neurobiology, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Kautz, D
Former Department Comparative Neurobiology, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Wagner, H., & Kautz, D. (1998). Evolutionary conservation and ontogenetic emergence of neural algorithms. Behavioral and Brain Sciences, 21(2), 285-286. doi:10.1152/jn.1994.71.5.1907.

Cite as: https://hdl.handle.net/21.11116/0000-000F-E456-F

Abstract

Neural algorithms are conserved during evolution. Neurons with different shapes and using different molecular mechanisms can perform the same computation. However, evolutionary conservation of neural algorithms is not sufficient for claiming the realization of an algorithm for a specific computational problem. A plausible scheme for ontogenetic emergence of the structure of the algorithm must also be provided.