Bio-inspired optic flow detection using neuromorphic hardware

Christoph Richter; Florian Röhrbein; Jörg Conradt

doi:10.12751/nncn.bc2014.0032

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JOURNAL ARTICLE

Bio-inspired optic flow detection using neuromorphic hardware

Christoph Richter Florian Röhrbein Jörg Conradt

Year: 2014 Journal: mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) Publisher: Technical University of Munich

DOI: 10.12751/nncn.bc2014.0032

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Keywords:

Neuromorphic engineering Computer science Artificial intelligence Computer hardware Artificial neural network

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Neural Networks and Reservoir Computing

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Memory and Neural Computing

Physical Sciences → Engineering → Electrical and Electronic Engineering

Bio-inspired optic flow detection using neuromorphic hardware

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