Ibrayev, TimurJames, Alex PappachenMerkel, CoryKudithipudi, Dhireesha2017-01-042017-01-042016-07-29Ibrayev, 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.2016.7527475http://nur.nu.edu.kz/handle/123456789/2108Hierarchical 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.enAttribution-NonCommercial-ShareAlike 3.0 United Statesfeature extractionHierarchical Temporal Memorymachine learningmemristorneuromorphic designpattern recognitionResearch Subject Categories::TECHNOLOGY::Engineering physicsArticle