A design of HTM spatial pooler for face recognition using memristor-CMOS hybrid circuits
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Ibrayev, Timur
James, Alex Pappachen
Merkel, Cory
Kudithipudi, Dhireesha
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Institute of Electrical and Electronics Engineers Inc.
Abstract
Hierarchical Temporal Memory (HTM) is a machine learning algorithm that is inspired from the working principles of the neocortex, capable of learning, inference, and prediction for bit-encoded inputs. Spatial pooler is an integral part of HTM that is capable of learning and classifying visual data such as objects in images.
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Ibrayev, T., James, A. P., Merkel, C., & Kudithipudi, D. (2016). A design of HTM spatial pooler for face recognition using memristor-CMOS hybrid circuits. In ISCAS 2016 - IEEE International Symposium on Circuits and Systems. (Vol. 2016-July, pp. 1254-1257). [7527475] Institute of Electrical and Electronics Engineers Inc.. DOI: 10.1109/ISCAS.2016.7527475
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