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cture with application to high-dimensional pattern recognition. In Biologically Inspired Cognitive Architec- tures, 2009. AAAI Press, 2009. ARKO9. I. Arel, D. Rose, and T. Karnowski. A deep learning architecture comprising homogeneous cortical circuits for scalable spatiotemporal pattern inference. NIP
ms of physical inferences. In Pro- ceedings of the Twentieth-Sixth Annual Conference of the Cognitive Science Society. 2004. CB00. W. H. Calvin and D. Bickerton. Lingua er Machin. MIT Press, 2000. CFH97. Eliseo Clementini, Paolino Di Felice, and Daniel HernAindez. Qualitative representation of posi- tional
Ami89. Daniel J. Amit. Modeling brain function - the world of attractor neural networks. Cambridge University Press, New York, USA, 1989. ARC09. I. Arel, D. Rose, and R. Coop. Destin: A scalable deep learning architecture with application to high-dimensional robust pattern recognition. Proc. AAA! Wor
Science Society. 2004. Cas0i. Nick Cassimatis. Adaptive algorithmic hybrids for human-level artificial intelligence. 2007. CB00. W. H. Calvin and D. Bickerton. Lingua ex Afachina. MIT Press. 2000. CR06. Rory Conolly and Jerry Blancato. Computational modeling of the liver. NCCT BOSC Review, 2006. http:
1. Ami89. Daniel J. Amit. Modeling brain function — the world of attractor neural networks. Cambridge University Press, New York, USA, 1989. ARCO9. I. Arel, D. Rose, and R. Coop. Destin: A scalable deep learning architecture with application to high-dimensional robust pattern recognition. Proc. AAAI Work
of the Cognitive Science Society. 2004. Nick Cassimatis. Adaptive algorithmic hybrids for human-level artificial intelligence. 2007. W.H. Calvin and D. Bickerton. Lingua ex Machina. MIT Press, 2000. Rory Conolly and Jerry Blancato. Computational modeling of the liver. NCCT BOSC Review, 2006. http://www.epa.go
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