Title :
A columnar V1/V2 visual cortex model and emulation using a PS3 cell-BE array
Author :
Pino, Robinson E. ; Moore, Michael ; Rogers, Jason ; Wu, Qing
Author_Institution :
USAF AFMC AFRL/RITC, Rome, NY, USA
fDate :
July 31 2011-Aug. 5 2011
Abstract :
The United States Air Force Research Laboratory (AFRL) has been exploring the implementation of neurophysiological and psychological constructs to develop a hyper-parallel computing platform. This approach is termed neuromorphic computing. As part of that effort, the primary visual cortex (V1) has been modeled in high performance computing facility. The current columnar V1 model is being expanded to include binocular disparity and motion perception. Additionally, V2 thick and pale stripes are being added to produce a V1/V2 stereomotion and form perception system. Both the V1 and V2 models are based upon structures approximating neocortical minicolumns and functional columns. The neuromorphic strategies employed include columnar organization, integrate-and-fire neurons, temporal coding, point attraction recurrent networks, Reichardt detectors and “confabulation” networks. The interest is driven by the value of applications which can make use of highly parallel architectures we expect to see surpassing one thousand cores per die in the next few years. A central question we seek to answer is what the architecture of hyper-parallel machines should be. We also seek to understand computational methods akin to how a brain deals with sensation, perception, memory, attention decision-making.
Keywords :
neural nets; parallel architectures; parallel machines; PS3 cell-BE array; PlayStation 3; Reichardt detector; United States Air Force Research Laboratory; V1-V2 stereomotion system; binocular disparity; columnar V1-V2 visual cortex emulation; columnar V1-V2 visual cortex model; columnar organization; confabulation network; form perception system; hyper-parallel computing platform; hyper-parallel machines; integrate-and-fire neurons; motion perception; neocortical minicolumn; neuromorphic computing; parallel architecture; point attraction recurrent network; temporal coding; Apertures; Arrays; Brain modeling; Emulation; Humans; Retina; Visualization;
Conference_Titel :
Neural Networks (IJCNN), The 2011 International Joint Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-9635-8
DOI :
10.1109/IJCNN.2011.6033425