ENAMeL : a language for binary correlation matrix memories : reducing the memory constraints of matrix memories

Burles, Nathan John orcid.org/0000-0003-3030-1675, O'Keefe, Simon orcid.org/0000-0001-5957-2474, Austin, Jim orcid.org/0000-0001-5762-8614 et al. (1 more author) (2013) ENAMeL : a language for binary correlation matrix memories : reducing the memory constraints of matrix memories. Neural Processing Letters. pp. 1-23. ISSN 1573-773X

Abstract

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Authors/Creators:
Keywords: Artificial Intelligence,Software,Computer Networks and Communications,Neuroscience
Dates:
  • Published: 2013
  • Published (online): 13 June 2013
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 08 Apr 2014 15:00
Last Modified: 24 Jun 2021 00:06
Published Version: https://doi.org/10.1007/s11063-013-9307-8
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1007/s11063-013-9307-8

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Description: ENAMeL: A Language for Binary Correlation Matrix Memories

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