A reconfigurable accelerator for neuromorphic object recognition

Abstract

Advances in neuroscience have enabled researchers to develop computational models of auditory, visual and learning perceptions in the human brain. HMAX, which is a biologically inspired model of the visual cortex, has been shown to outperform standard computer vision approaches for multi-class object recognition. HMAX, while computationally demanding, can… (More)
DOI: 10.1109/ASPDAC.2012.6165067

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@article{Sabarad2012ARA, title={A reconfigurable accelerator for neuromorphic object recognition}, author={Jagdish Sabarad and Srinidhi Kestur and Mi Sun Park and Dharav Dantara and Narayanan Vijaykrishnan and Yang Chen and Deepak Khosla}, journal={17th Asia and South Pacific Design Automation Conference}, year={2012}, pages={813-818} }