Behavioral and Brain Sciences



Open Peer Commentary
Sussman et al.: Linear correlates in the speech signal

Evolutionary conservation and ontogenetic emergence of neural algorithms


Hermann Wagner a1 and Dirk Kautz a1
a1 Institut für Biologie II, RWTH Aachen, D-52074 Aachen, Germany wagner@tyto.bio2.rwth-aachen.de kautz@nke.de http://birdland.bio2.rwth-aachen.de

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.