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Working Memory: Delay Activity, Yes! Persistent Activity? Maybe Not
MIT, Picower Inst Learning & Memory, 43 Vassar St, Cambridge, MA 02139 USA.;MIT, Dept Brain & Cognit Sci, 43 Vassar St, Cambridge, MA 02139 USA..
KTH, School of Electrical Engineering and Computer Science (EECS), Computational Science and Technology (CST).ORCID iD: 0000-0001-6553-823X
MIT, Picower Inst Learning & Memory, 43 Vassar St, Cambridge, MA 02139 USA.;MIT, Dept Brain & Cognit Sci, 43 Vassar St, Cambridge, MA 02139 USA..
2018 (English)In: Journal of Neuroscience, ISSN 0270-6474, E-ISSN 1529-2401, Vol. 38, no 32, p. 7013-7019Article in journal (Refereed) Published
Abstract [en]

Persistent spiking has been thought to underlie working memory (WM). However, virtually all of the evidence for this comes from studies that averaged spiking across time and across trials, which masks the details. On single trials, activity often occurs in sparse transient bursts. This has important computational and functional advantages. In addition, examination of more complex tasks reveals neural coding in WM is dynamic over the course of a trial. All this suggests that spiking is important for WM, but that its role is more complex than simply persistent spiking.

Place, publisher, year, edition, pages
Society for Neuroscience , 2018. Vol. 38, no 32, p. 7013-7019
Keywords [en]
working memory, transient dynamics, persistent activity, computational models
National Category
Neurology
Identifiers
URN: urn:nbn:se:kth:diva-233413DOI: 10.1523/JNEUROSCI.2485-17.2018ISI: 000441039800001PubMedID: 30089640Scopus ID: 2-s2.0-85051587176OAI: oai:DiVA.org:kth-233413DiVA, id: diva2:1240371
Note

QC 20180821

Available from: 2018-08-21 Created: 2018-08-21 Last updated: 2020-03-09Bibliographically approved

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Herman, Pawel

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