Literature DB >> 32736849

How Outcome Uncertainty Mediates Attention, Learning, and Decision-Making.

Ilya E Monosov1.   

Abstract

Animals and humans evolved sophisticated nervous systems that endowed them with the ability to form internal-models or beliefs and make predictions about the future to survive and flourish in a world in which future outcomes are often uncertain. Crucial to this capacity is the ability to adjust behavioral and learning policies in response to the level of uncertainty. Until recently, the neuronal mechanisms that could underlie such uncertainty-guided control have been largely unknown. In this review, I discuss newly discovered neuronal circuits in primates that represent uncertainty about future rewards and propose how they guide information-seeking, attention, decision-making, and learning to help us survive in an uncertain world. Lastly, I discuss the possible relevance of these findings to learning in artificial systems.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  artificial intelligence; basal-forebrain; basal-ganglia; cingulate; information-seeking

Mesh:

Year:  2020        PMID: 32736849      PMCID: PMC8153236          DOI: 10.1016/j.tins.2020.06.009

Source DB:  PubMed          Journal:  Trends Neurosci        ISSN: 0166-2236            Impact factor:   13.837


  88 in total

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6.  Cortical substrates for exploratory decisions in humans.

Authors:  Nathaniel D Daw; John P O'Doherty; Peter Dayan; Ben Seymour; Raymond J Dolan
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Review 7.  Reinforcement Learning, Fast and Slow.

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8.  Midbrain dopamine neurons signal preference for advance information about upcoming rewards.

Authors:  Ethan S Bromberg-Martin; Okihide Hikosaka
Journal:  Neuron       Date:  2009-07-16       Impact factor: 17.173

9.  Valence-dependent influence of serotonin depletion on model-based choice strategy.

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Review 10.  Theories of Error Back-Propagation in the Brain.

Authors:  James C R Whittington; Rafal Bogacz
Journal:  Trends Cogn Sci       Date:  2019-01-28       Impact factor: 20.229

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  15 in total

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Journal:  J Cogn Neurosci       Date:  2020-11-09       Impact factor: 3.225

Review 2.  Filling the gaps: Cognitive control as a critical lens for understanding mechanisms of value-based decision-making.

Authors:  R Frömer; A Shenhav
Journal:  Neurosci Biobehav Rev       Date:  2021-12-10       Impact factor: 8.989

3.  Serotonin neurons modulate learning rate through uncertainty.

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5.  Decision uncertainty during hypothesis testing enhances memory accuracy for incidental information.

Authors:  Xinxu Shen; Ian C Ballard; David V Smith; Vishnu P Murty
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6.  Medial Frontal Cortex Activity Predicts Information Sampling in Economic Choice.

Authors:  Paula Kaanders; Hamed Nili; Jill X O'Reilly; Laurence Hunt
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7.  Relative salience signaling within a thalamo-orbitofrontal circuit governs learning rate.

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8.  Fast and slow contributions to decision-making in corticostriatal circuits.

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Review 9.  Interactions between ventrolateral prefrontal and anterior cingulate cortex during learning and behavioural change.

Authors:  Ilya E Monosov; Matthew F S Rushworth
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10.  A prefrontal network integrates preferences for advance information about uncertain rewards and punishments.

Authors:  Ahmad Jezzini; Ethan S Bromberg-Martin; Lucas R Trambaiolli; Suzanne N Haber; Ilya E Monosov
Journal:  Neuron       Date:  2021-06-11       Impact factor: 18.688

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