Evolutionary advantages of neuromodulated plasticity in dynamic, reward-based scenarios

Neuromodulation is considered a key factor for learning and memory in biological neural networks. Similarly, artificial neural networks could benefit from modulatory dynamics when facing certain types of learning problem. Here we test this hypothesis by introducing modulatory neurons to enhance or d...

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Bibliographic Details

Main Authors:	Andrea Soltoggio, John A. Bullinaria, Claudio Mattiussi, Peter Durr, Dario Floreano
Format:	Default Conference proceeding
Published:	2008
Subjects:	Other information and computing sciences not elsewhere classified untagged Information and Computing Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/17039
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