Literature DB >> 26290251

The Role of Frontal Cortical and Medial-Temporal Lobe Brain Areas in Learning a Bayesian Prior Belief on Reversals.

Anthony I Jang1, Vincent D Costa1, Peter H Rudebeck1, Yogita Chudasama1, Elisabeth A Murray1, Bruno B Averbeck2.   

Abstract

Reversal learning has been extensively studied across species as a task that indexes the ability to flexibly make and reverse deterministic stimulus-reward associations. Although various brain lesions have been found to affect performance on this task, the behavioral processes affected by these lesions have not yet been determined. This task includes at least two kinds of learning. First, subjects have to learn and reverse stimulus-reward associations in each block of trials. Second, subjects become more proficient at reversing choice preferences as they experience more reversals. We have developed a Bayesian approach to separately characterize these two learning processes. Reversal of choice behavior within each block is driven by a combination of evidence that a reversal has occurred, and a prior belief in reversals that evolves with experience across blocks. We applied the approach to behavior obtained from 89 macaques, comprising 12 lesion groups and a control group. We found that animals from all of the groups reversed more quickly as they experienced more reversals, and correspondingly they updated their prior beliefs about reversals at the same rate. However, the initial values of the priors that the various groups of animals brought to the task differed significantly, and it was these initial priors that led to the differences in behavior. Thus, by taking a Bayesian approach we find that variability in reversal-learning performance attributable to different neural systems is primarily driven by different prior beliefs about reversals that each group brings to the task. SIGNIFICANCE STATEMENT: The ability to use prior knowledge to adapt choice behavior is critical for flexible decision making. Reversal learning is often studied as a form of flexible decision making. However, prior studies have not identified which brain regions are important for the formation and use of prior beliefs to guide choice behavior. Here we develop a Bayesian approach that formally characterizes learning set as a concept, and we show that, in macaque monkeys, the amygdala and medial prefrontal cortex have a role in establishing an initial belief about the stability of the reward environment.
Copyright © 2015 the authors 0270-6474/15/3511751-10$15.00/0.

Entities:  

Keywords:  Bayesian prior; amygdala; learning set; medial prefrontal cortex; orbitofrontal cortex; reversal learning

Mesh:

Year:  2015        PMID: 26290251      PMCID: PMC4540808          DOI: 10.1523/JNEUROSCI.1594-15.2015

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  31 in total

1.  Bilateral orbital prefrontal cortex lesions in rhesus monkeys disrupt choices guided by both reward value and reward contingency.

Authors:  Alicia Izquierdo; Robin K Suda; Elisabeth A Murray
Journal:  J Neurosci       Date:  2004-08-25       Impact factor: 6.167

2.  The role of the anterior cingulate cortex in choices based on reward value and reward contingency.

Authors:  Yogita Chudasama; Teresa E Daniels; Daniel P Gorrin; Sarah E V Rhodes; Peter H Rudebeck; Elisabeth A Murray
Journal:  Cereb Cortex       Date:  2012-09-03       Impact factor: 5.357

3.  A role for primate subgenual cingulate cortex in sustaining autonomic arousal.

Authors:  Peter H Rudebeck; Philip T Putnam; Teresa E Daniels; Tianming Yang; Andrew R Mitz; Sarah E V Rhodes; Elisabeth A Murray
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-24       Impact factor: 11.205

4.  Perseverative interference in monkeys following selective lesions of the inferior prefrontal convexity.

Authors:  S D Iversen; M Mishkin
Journal:  Exp Brain Res       Date:  1970-11-26       Impact factor: 1.972

5.  Enhanced or impaired cognitive function in Parkinson's disease as a function of dopaminergic medication and task demands.

Authors:  R Cools; R A Barker; B J Sahakian; T W Robbins
Journal:  Cereb Cortex       Date:  2001-12       Impact factor: 5.357

6.  Reversal learning and dopamine: a bayesian perspective.

Authors:  Vincent D Costa; Valery L Tran; Janita Turchi; Bruno B Averbeck
Journal:  J Neurosci       Date:  2015-02-11       Impact factor: 6.167

7.  Effects of amygdala lesions on reward-value coding in orbital and medial prefrontal cortex.

Authors:  Peter H Rudebeck; Andrew R Mitz; Ravi V Chacko; Elisabeth A Murray
Journal:  Neuron       Date:  2013-12-18       Impact factor: 17.173

8.  The role of the primate amygdala in conditioned reinforcement.

Authors:  J A Parkinson; H S Crofts; M McGuigan; D L Tomic; B J Everitt; A C Roberts
Journal:  J Neurosci       Date:  2001-10-01       Impact factor: 6.167

Review 9.  Appetitive behavior: impact of amygdala-dependent mechanisms of emotional learning.

Authors:  Barry J Everitt; Rudolf N Cardinal; John A Parkinson; Trevor W Robbins
Journal:  Ann N Y Acad Sci       Date:  2003-04       Impact factor: 5.691

10.  Prefrontal mechanisms of behavioral flexibility, emotion regulation and value updating.

Authors:  Peter H Rudebeck; Richard C Saunders; Anna T Prescott; Lily S Chau; Elisabeth A Murray
Journal:  Nat Neurosci       Date:  2013-06-23       Impact factor: 24.884

View more
  35 in total

1.  Midline thalamic reuniens lesions improve executive behaviors.

Authors:  J A Prasad; A R Abela; Y Chudasama
Journal:  Neuroscience       Date:  2016-02-09       Impact factor: 3.590

2.  Amygdala Contributions to Stimulus-Reward Encoding in the Macaque Medial and Orbital Frontal Cortex during Learning.

Authors:  Peter H Rudebeck; Joshua A Ripple; Andrew R Mitz; Bruno B Averbeck; Elisabeth A Murray
Journal:  J Neurosci       Date:  2017-01-25       Impact factor: 6.167

3.  Effects of Ventral Striatum Lesions on Stimulus-Based versus Action-Based Reinforcement Learning.

Authors:  Kathryn M Rothenhoefer; Vincent D Costa; Ramón Bartolo; Raquel Vicario-Feliciano; Elisabeth A Murray; Bruno B Averbeck
Journal:  J Neurosci       Date:  2017-06-16       Impact factor: 6.167

4.  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

5.  Subcortical Substrates of Explore-Exploit Decisions in Primates.

Authors:  Vincent D Costa; Andrew R Mitz; Bruno B Averbeck
Journal:  Neuron       Date:  2019-06-10       Impact factor: 17.173

Review 6.  Believing in dopamine.

Authors:  Samuel J Gershman; Naoshige Uchida
Journal:  Nat Rev Neurosci       Date:  2019-09-30       Impact factor: 34.870

7.  Unraveling the Role of the Hippocampus in Reversal Learning.

Authors:  Adrià Vilà-Balló; Ernest Mas-Herrero; Pablo Ripollés; Marta Simó; Júlia Miró; David Cucurell; Diana López-Barroso; Montserrat Juncadella; Josep Marco-Pallarés; Mercè Falip; Antoni Rodríguez-Fornells
Journal:  J Neurosci       Date:  2017-06-07       Impact factor: 6.167

8.  Prefrontal Cortex Predicts State Switches during Reversal Learning.

Authors:  Ramon Bartolo; Bruno B Averbeck
Journal:  Neuron       Date:  2020-04-20       Impact factor: 17.173

Review 9.  The neural basis of reversal learning: An updated perspective.

Authors:  A Izquierdo; J L Brigman; A K Radke; P H Rudebeck; A Holmes
Journal:  Neuroscience       Date:  2016-03-12       Impact factor: 3.590

Review 10.  Back to basics: Making predictions in the orbitofrontal-amygdala circuit.

Authors:  Melissa J Sharpe; Geoffrey Schoenbaum
Journal:  Neurobiol Learn Mem       Date:  2016-04-23       Impact factor: 2.877

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.