General form of learning algorithms for neuromorphic hardware implementation

BMC Neuroscience

Poster Presentation

Ennio Mingolla¹  Heather M Ames¹  Arash Yazdanbakhsh¹  Anatoli Gorchetchnikov¹  Massimiliano Versace¹  Jasmin Léveillé¹  Ben Chandler¹  Greg Snider² 

[1] Department of Cognitive and Neural Systems, Boston University, 02215, Boston, MA, USA;HP Labs, 94304, Palo Alto, CA, USA;

关键词: Adaptive Behavior;    Hardware Implementation;    Learning Rule;    Synaptic Connection;    Multiple Category;   

DOI  :  10.1186/1471-2202-11-S1-P91

来源: Springer

【 授权许可】

CC BY   
© Gorchetchnikov et al; licensee BioMed Central Ltd. 2010. This article is published under license to BioMed Central Ltd.