AnalogHTM: Memristive Spatial Pooler Learning with Backpropagation

2019

DOI 10.1109/aicas.2019.8771628

Data confidence 85 high

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Abstract

Spatial pooler is responsible for feature extraction in Hierarchical Temporal Memory (HTM). In this paper, we present analog backpropagation learning circuits integrated to the memristive circuit design of spatial pooler. Using 0.18μm CMOS technology and TiOxmemristor models, the maximum on-chip area and power consumption of the proposed design are 8335.074μm2and 51.55mW, respectively. The system is tested for a face recognition problem AR face database achieving a recognition accuracy of 90%.