A design of HTM spatial pooler for face recognition using memristor-CMOS hybrid circuits
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Date
2016-07-29
Authors
Ibrayev, Timur
James, Alex Pappachen
Merkel, Cory
Kudithipudi, Dhireesha
Journal Title
Journal ISSN
Volume Title
Publisher
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.
Description
Keywords
feature extraction, Hierarchical Temporal Memory, machine learning, memristor, neuromorphic design, pattern recognition, Research Subject Categories::TECHNOLOGY::Engineering physics
Citation
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