Evidence map›Paper›PMID 28559375›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2017

Stable and Dynamic Coding for Working Memory in Primate Prefrontal Cortex.

Eelke Spaak, Kei Watanabe, Shintaro Funahashi, Mark G Stokes

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

117 citing papers in PubMed, 1 synthesis or guideline pooled it.

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57 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Eelke SpaakDepartment of Experimental Psychology, University of Oxford, Oxford OX1 3UD, United Kingdom, eelke.spaak@psy.ox.ac.uk.
Kei WatanabeDepartment of Experimental Psychology, University of Oxford, Oxford OX1 3UD, United Kingdom.
Shintaro FunahashiKokoro Research Center, Kyoto University, Kyoto 606-8501, Japan.
Mark G StokesDepartment of Experimental Psychology, University of Oxford, Oxford OX1 3UD, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Working memory (WM) provides the stability necessary for high-level cognition. Influential theories typically assume that WM depends on the persistence of stable neural representations, yet increasing evidence suggests that neural states are highly dynamic. Here we apply multivariate pattern analysis to explore the population dynamics in primate lateral prefrontal cortex (PFC) during three variants of the classic memory-guided saccade task (recorded in four animals). We observed the hallmark of dynamic population coding across key phases of a working memory task: sensory processing, memory encoding, and response execution. Throughout both these dynamic epochs and the memory delay period, however, the neural representational geometry remained stable. We identified two characteristics that jointly explain these dynamics: (1) time-varying changes in the subpopulation of neurons coding for task variables (i.e., dynamic subpopulations); and (2) time-varying selectivity within neurons (i.e., dynamic selectivity). These results indicate that even in a very simple memory-guided saccade task, PFC neurons display complex dynamics to support stable representations for WM.

Indexed as

Models, NeurologicalAnimalsComputer SimulationMacaca mulattaMaleMemory, Short-TermMental RecallNerve NetPrefrontal CortexSaccadesdynamic codingmemory-guided saccadeprefrontal cortexrepresentational geometryworking memory

Identifiers

PMID28559375
PMCPMC5511881

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.