Chapter 20: Analog circuit integration of backpropagation learning in memristive HTM architecture
Olga Krestinskayaa; Alex Jamesb aKing Abdullah University of Science and Technology, Thuwal, Saudi ArabiabIndian Institute of Information Technology and Management, Kerala, India
Abstract
Hierarchical Temporal Memory (HTM) is a biologically plausible model of the neocortex that mimics its structure and functionality. The concepts of HTM and sparse distributed patterns produced by the HTM Spatial Pooler can be useful for various applications. This chapter covers the integration of an analog backpropagation learning circuit into memristive HTM hardware for the Spatial Pooler, which is used for extraction of the meaningful features from the input patterns ...
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