How the brain represents language and answers questions? Using an AI system to understand the underlying neurobiological mechanisms

Idiart, M.A.P., Villavicencio, A. orcid.org/0000-0002-3731-9168, Katz, B. et al. (2 more authors) (2019) How the brain represents language and answers questions? Using an AI system to understand the underlying neurobiological mechanisms. Frontiers in Computational Neuroscience, 13.

Abstract

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Copyright, Publisher and Additional Information: © 2019 The Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Keywords: theta-gamma code; episodic memory; short-term (working) memory; memory retrieval; question and answer
Dates:
  • Accepted: 14 February 2019
  • Published (online): 12 March 2019
  • Published: 12 March 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 20 Sep 2019 14:51
Last Modified: 24 Sep 2019 17:36
Status: Published
Publisher: Frontiers Media SA
Refereed: Yes
Identification Number: https://doi.org/10.3389/fncom.2019.00012
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