Neural mechanisms of attending to items in working memory.

Sanjay G Manohar, Nahid Zokaei, Sean J Fallon, Tim P Vogels, Masud Husain
Author Information
  1. Sanjay G Manohar: Nuffield Department of Clinical Neurosciences, University of Oxford, OX3 9DU, United Kingdom. Electronic address: sanjay.manohar@ndcn.ox.ac.uk.
  2. Nahid Zokaei: Department of Experimental Psychology, University of Oxford, United Kingdom; Oxford Centre for Human Brain Activity, University of Oxford, United Kingdom.
  3. Sean J Fallon: Department of Experimental Psychology, University of Oxford, United Kingdom.
  4. Tim P Vogels: Centre for Neural Circuits and Behaviour, University of Oxford, United Kingdom.
  5. Masud Husain: Nuffield Department of Clinical Neurosciences, University of Oxford, OX3 9DU, United Kingdom; Department of Experimental Psychology, University of Oxford, United Kingdom.

Abstract

Working memory, the ability to keep recently accessed information available for immediate manipulation, has been proposed to rely on two mechanisms that appear difficult to reconcile: self-sustained neural firing, or the opposite-activity-silent synaptic traces. Here we review and contrast models of these two mechanisms, and then show that both phenomena can co-exist within a unified system in which neurons hold information in both activity and synapses. Rapid plasticity in flexibly-coding neurons allows features to be bound together into objects, with an important emergent property being the focus of attention. One memory item is held by persistent activity in an attended or "focused" state, and is thus remembered better than other items. Other, previously attended items can remain in memory but in the background, encoded in activity-silent synaptic traces. This dual functional architecture provides a unified common mechanism accounting for a diversity of perplexing attention and memory effects that have been hitherto difficult to explain in a single theoretical framework.

Keywords

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Grants

  1. /Wellcome Trust
  2. 206330/Z/17/Z/Wellcome Trust
  3. MR/P00878X/1/Medical Research Council

MeSH Term

Animals
Attention
Humans
Memory, Short-Term
Models, Neurological
Neural Networks, Computer
Neuronal Plasticity
Neurons
Synapses

Word Cloud

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