Literature DB >> 34026949

Timescales of Cognition in the Brain.

Alireza Soltani1, John D Murray2, Hyojung Seo2, Daeyeol Lee3.   

Abstract

We live in a world that changes on many timescales. To learn and make decisions appropriately, the human brain has evolved to integrate various types of information, such as sensory evidence and reward feedback, on multiple timescales. This is reflected in cortical hierarchies of timescales consisting of heterogeneous neuronal activities and expression of genes related to neurotransmitters critical for learning. We review the recent findings on how timescales of sensory and reward integration are affected by the temporal properties of sensory and reward signals in the environment. Despite existing evidence linking behavioral and neuronal timescales, future studies must examine how neural computations at multiple timescales are adjusted and combined to influence behavior flexibly.

Entities:  

Keywords:  Working memory; cortical hierarchy; decision making; learning rate; recurrent neural network; reinforcement learning; volatility

Year:  2021        PMID: 34026949      PMCID: PMC8136243          DOI: 10.1016/j.cobeha.2021.03.003

Source DB:  PubMed          Journal:  Curr Opin Behav Sci        ISSN: 2352-1546


  47 in total

1.  Hierarchical Heterogeneity across Human Cortex Shapes Large-Scale Neural Dynamics.

Authors:  Murat Demirtaş; Joshua B Burt; Markus Helmer; Jie Lisa Ji; Brendan D Adkinson; Matthew F Glasser; David C Van Essen; Stamatios N Sotiropoulos; Alan Anticevic; John D Murray
Journal:  Neuron       Date:  2019-02-07       Impact factor: 17.173

2.  Reinforcement learning in multidimensional environments relies on attention mechanisms.

Authors:  Yael Niv; Reka Daniel; Andra Geana; Samuel J Gershman; Yuan Chang Leong; Angela Radulescu; Robert C Wilson
Journal:  J Neurosci       Date:  2015-05-27       Impact factor: 6.167

3.  Metaplasticity as a Neural Substrate for Adaptive Learning and Choice under Uncertainty.

Authors:  Shiva Farashahi; Christopher H Donahue; Peyman Khorsand; Hyojung Seo; Daeyeol Lee; Alireza Soltani
Journal:  Neuron       Date:  2017-04-19       Impact factor: 17.173

4.  Neural computations underlying arbitration between model-based and model-free learning.

Authors:  Sang Wan Lee; Shinsuke Shimojo; John P O'Doherty
Journal:  Neuron       Date:  2014-02-05       Impact factor: 17.173

5.  A bayesian foundation for individual learning under uncertainty.

Authors:  Christoph Mathys; Jean Daunizeau; Karl J Friston; Klaas E Stephan
Journal:  Front Hum Neurosci       Date:  2011-05-02       Impact factor: 3.169

6.  Action Planning and the Timescale of Evidence Accumulation.

Authors:  Konstantinos Tsetsos; Thomas Pfeffer; Pia Jentgens; Tobias H Donner
Journal:  PLoS One       Date:  2015-06-12       Impact factor: 3.240

7.  Feature-based learning improves adaptability without compromising precision.

Authors:  Shiva Farashahi; Katherine Rowe; Zohra Aslami; Daeyeol Lee; Alireza Soltani
Journal:  Nat Commun       Date:  2017-11-24       Impact factor: 14.919

8.  Intrinsic neuronal dynamics predict distinct functional roles during working memory.

Authors:  D F Wasmuht; E Spaak; T J Buschman; E K Miller; M G Stokes
Journal:  Nat Commun       Date:  2018-08-29       Impact factor: 14.919

9.  Reconciling persistent and dynamic hypotheses of working memory coding in prefrontal cortex.

Authors:  Sean E Cavanagh; John P Towers; Joni D Wallis; Laurence T Hunt; Steven W Kennerley
Journal:  Nat Commun       Date:  2018-08-29       Impact factor: 14.919

10.  Flexible combination of reward information across primates.

Authors:  Shiva Farashahi; Christopher H Donahue; Benjamin Y Hayden; Daeyeol Lee; Alireza Soltani
Journal:  Nat Hum Behav       Date:  2019-09-09
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  6 in total

Review 1.  The brain and its time: intrinsic neural timescales are key for input processing.

Authors:  Mehrshad Golesorkhi; Javier Gomez-Pilar; Federico Zilio; Nareg Berberian; Annemarie Wolff; Mustapha C E Yagoub; Georg Northoff
Journal:  Commun Biol       Date:  2021-08-16

2.  Multiple timescales of sensory-evidence accumulation across the dorsal cortex.

Authors:  David W Tank; Carlos D Brody; Lucas Pinto
Journal:  Elife       Date:  2022-06-16       Impact factor: 8.713

3.  Computational mechanisms of distributed value representations and mixed learning strategies.

Authors:  Shiva Farashahi; Alireza Soltani
Journal:  Nat Commun       Date:  2021-12-10       Impact factor: 14.919

4.  Intrinsic timescales as an organizational principle of neural processing across the whole rhesus macaque brain.

Authors:  Ana M G Manea; Anna Zilverstand; Kamil Ugurbil; Sarah R Heilbronner; Jan Zimmermann
Journal:  Elife       Date:  2022-03-02       Impact factor: 8.140

5.  Natural frequencies of neural activities and cognitions may serve as precise targets of rhythmic interventions to the aging brain.

Authors:  Jingwen Qiao; Yifeng Wang; Shouyan Wang
Journal:  Front Aging Neurosci       Date:  2022-09-12       Impact factor: 5.702

Review 6.  Computational models of adaptive behavior and prefrontal cortex.

Authors:  Alireza Soltani; Etienne Koechlin
Journal:  Neuropsychopharmacology       Date:  2021-08-13       Impact factor: 7.853

  6 in total

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