Literature DB >> 11255572

Temporal difference model reproduces anticipatory neural activity.

R E Suri1, W Schultz.   

Abstract

Anticipatory neural activity preceding behaviorally important events has been reported in cortex, striatum, and midbrain dopamine neurons. Whereas dopamine neurons are phasically activated by reward-predictive stimuli, anticipatory activity of cortical and striatal neurons is increased during delay periods before important events. Characteristics of dopamine neuron activity resemble those of the prediction error signal of the temporal difference (TD) model of Pavlovian learning (Sutton & Barto, 1990). This study demonstrates that the prediction signal of the TD model reproduces characteristics of cortical and striatal anticipatory neural activity. This finding suggests that tonic anticipatory activities may reflect prediction signals that are involved in the processing of dopamine neuron activity.

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Year:  2001        PMID: 11255572     DOI: 10.1162/089976601300014376

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  33 in total

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Authors:  Katsunori Kitano; Tomoki Fukai
Journal:  Learn Mem       Date:  2004 May-Jun       Impact factor: 2.460

2.  Prefrontal Regulation of Neuronal Activity in the Ventral Tegmental Area.

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3.  A model of reward choice based on the theory of reinforcement learning.

Authors:  I A Smirnitskaya; A A Frolov; G Kh Merzhanova
Journal:  Neurosci Behav Physiol       Date:  2008-03

4.  From fear to safety and back: reversal of fear in the human brain.

Authors:  Daniela Schiller; Ifat Levy; Yael Niv; Joseph E LeDoux; Elizabeth A Phelps
Journal:  J Neurosci       Date:  2008-11-05       Impact factor: 6.167

5.  Dopamine dependence in aggregate feedback learning: A computational cognitive neuroscience approach.

Authors:  Vivian V Valentin; W Todd Maddox; F Gregory Ashby
Journal:  Brain Cogn       Date:  2016-09-03       Impact factor: 2.310

6.  Spike-based reinforcement learning in continuous state and action space: when policy gradient methods fail.

Authors:  Eleni Vasilaki; Nicolas Frémaux; Robert Urbanczik; Walter Senn; Wulfram Gerstner
Journal:  PLoS Comput Biol       Date:  2009-12-04       Impact factor: 4.475

Review 7.  Neural mechanisms of acquired phasic dopamine responses in learning.

Authors:  Thomas E Hazy; Michael J Frank; Randall C O'Reilly
Journal:  Neurosci Biobehav Rev       Date:  2009-11-26       Impact factor: 8.989

8.  Greater striatopallidal adaptive coding during cue-reward learning and food reward habituation predict future weight gain.

Authors:  Kyle S Burger; Eric Stice
Journal:  Neuroimage       Date:  2014-06-02       Impact factor: 6.556

9.  Correlates of reward-predictive value in learning-related hippocampal neural activity.

Authors:  Murat Okatan
Journal:  Hippocampus       Date:  2009-05       Impact factor: 3.899

10.  Temporal-difference reinforcement learning with distributed representations.

Authors:  Zeb Kurth-Nelson; A David Redish
Journal:  PLoS One       Date:  2009-10-20       Impact factor: 3.240

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