Real-time hebbian learning from autoencoder features for control tasks

Neural plasticity and in particular Hebbian learning play an important role in many research areas related to artficial life. By allowing artificial neural networks (ANNs) to adjust their weights in real time, Hebbian ANNs can adapt over their lifetime. However, even as researchers improve and exten...

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Bibliographic Details

Main Authors:	Justin K. Pugh, Andrea Soltoggio, Kenneth O. Stanley
Format:	Default Conference proceeding
Published:	2014
Subjects:	Other information and computing sciences not elsewhere classified untagged Information and Computing Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/17041
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