Memristive hierarchical temporal memory

Olga Krestinskaya, Irina Dolzhikova, Alex Pappachen James

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations


This chapter covers the memristive HTM implementations on mixed-signal and analog hardware. Most of the implemented memristive systems are based on modified HTM algorithm. The HTM is often used as a feature encoding and feature extraction tool, and these features are then used with conventional nearest neighbor method for classification.
Original languageEnglish (US)
Title of host publicationModeling and Optimization in Science and Technologies
PublisherSpringer [email protected]
Number of pages14
StatePublished - Jan 1 2020
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2023-09-23

ASJC Scopus subject areas

  • Modeling and Simulation
  • Medical Assisting and Transcription
  • Applied Mathematics


Dive into the research topics of 'Memristive hierarchical temporal memory'. Together they form a unique fingerprint.

Cite this