Literature DB >> 27418259

Context-dependent learning and causal structure.

Samuel J Gershman1.   

Abstract

The notion of "context" has played an important but complicated role in animal learning theory. Some studies have found that contextual stimuli (e.g., conditioning chamber) act much like punctate stimuli, entering into competition with other cues as would be predicted by standard associative learning theories. Other studies have found that contextual stimuli act more like "occasion setters," modulating the associative strength of punctate stimuli without themselves acquiring associative strength. Yet other studies have found that context is often largely ignored, resulting in transfer of performance across context changes. This article argues that these diverse functions of context arise in part from different causal interpretations of the environment. A Bayesian theory is presented that infers which causal interpretation best explains an animal's training history, and hence which function of context is appropriate. The theory coherently accounts for a number of disparate experimental results, and quantitatively predicts the results of a new experiment designed to directly test the theory.

Keywords:  Animal and human associative learning; Bayesian modeling

Mesh:

Year:  2017        PMID: 27418259     DOI: 10.3758/s13423-016-1110-x

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  18 in total

1.  Exploring a latent cause theory of classical conditioning.

Authors:  Samuel J Gershman; Yael Niv
Journal:  Learn Behav       Date:  2012-09       Impact factor: 1.986

2.  Context-dependent decision-making: a simple Bayesian model.

Authors:  Kevin Lloyd; David S Leslie
Journal:  J R Soc Interface       Date:  2013-02-20       Impact factor: 4.118

Review 3.  The functions of contexts in associative learning.

Authors:  Gonzalo P Urcelay; Ralph R Miller
Journal:  Behav Processes       Date:  2014-03-11       Impact factor: 1.777

Review 4.  Context, time, and memory retrieval in the interference paradigms of Pavlovian learning.

Authors:  M E Bouton
Journal:  Psychol Bull       Date:  1993-07       Impact factor: 17.737

5.  The overshadowing of background stimuli: some effects of varying amounts of training and UCS intensity.

Authors:  F J Odling-Smee
Journal:  Q J Exp Psychol       Date:  1978-11       Impact factor: 2.143

6.  Context switch effects on acquisition and extinction in human predictive learning.

Authors:  Juan M Rosas; José E Callejas-Aguilera
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2006-05       Impact factor: 3.051

7.  Novelty and Inductive Generalization in Human Reinforcement Learning.

Authors:  Samuel J Gershman; Yael Niv
Journal:  Top Cogn Sci       Date:  2015-03-23

8.  Explaining compound generalization in associative and causal learning through rational principles of dimensional generalization.

Authors:  Fabian A Soto; Samuel J Gershman; Yael Niv
Journal:  Psychol Rev       Date:  2014-07       Impact factor: 8.934

Review 9.  Context change and associative learning.

Authors:  Juan M Rosas; Travis P Todd; Mark E Bouton
Journal:  Wiley Interdiscip Rev Cogn Sci       Date:  2013-02-13

10.  Contextual control of the extinction of conditioned fear: tests for the associative value of the context.

Authors:  M E Bouton; D A King
Journal:  J Exp Psychol Anim Behav Process       Date:  1983-07
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  10 in total

1.  Neural Computations Underlying Causal Structure Learning.

Authors:  Momchil S Tomov; Hayley M Dorfman; Samuel J Gershman
Journal:  J Neurosci       Date:  2018-06-29       Impact factor: 6.167

2.  Incidental binding between predictive relations.

Authors:  Anna Leshinskaya; Mira Bajaj; Sharon L Thompson-Schill
Journal:  Cognition       Date:  2020-02-29

3.  Reinforcement learning with associative or discriminative generalization across states and actions: fMRI at 3 T and 7 T.

Authors:  Jaron T Colas; Neil M Dundon; Raphael T Gerraty; Natalie M Saragosa-Harris; Karol P Szymula; Koranis Tanwisuth; J Michael Tyszka; Camilla van Geen; Harang Ju; Arthur W Toga; Joshua I Gold; Dani S Bassett; Catherine A Hartley; Daphna Shohamy; Scott T Grafton; John P O'Doherty
Journal:  Hum Brain Mapp       Date:  2022-07-21       Impact factor: 5.399

4.  The Hippocampus May Support Context Retrieval in One-Shot Learning about Pain.

Authors:  Georgia Turner; Jakub Onysk
Journal:  J Neurosci       Date:  2022-03-09       Impact factor: 6.709

5.  Plans, Habits, and Theory of Mind.

Authors:  Samuel J Gershman; Tobias Gerstenberg; Chris L Baker; Fiery A Cushman
Journal:  PLoS One       Date:  2016-09-01       Impact factor: 3.240

6.  Identification of an unconventional process of instrumental learning characteristically initiated with outcome devaluation-insensitivity and generalized action selection.

Authors:  Yoshio Iguchi; Ziqiao Lin; Hiromi Nishikawa; Yoshio Minabe; Shigenobu Toda
Journal:  Sci Rep       Date:  2017-02-27       Impact factor: 4.379

7.  Private-public mappings in human prefrontal cortex.

Authors:  Dan Bang; Sara Ershadmanesh; Hamed Nili; Stephen M Fleming
Journal:  Elife       Date:  2020-07-23       Impact factor: 8.140

8.  Ambiguity drives higher-order Pavlovian learning.

Authors:  Tomislav D Zbozinek; Omar D Perez; Toby Wise; Michael Fanselow; Dean Mobbs
Journal:  PLoS Comput Biol       Date:  2022-09-09       Impact factor: 4.779

9.  A possible evolutionary function of phenomenal conscious experience of pain.

Authors:  Oren Kolodny; Roy Moyal; Shimon Edelman
Journal:  Neurosci Conscious       Date:  2021-06-16

10.  Hippocampal remapping as hidden state inference.

Authors:  Honi Sanders; Matthew A Wilson; Samuel J Gershman
Journal:  Elife       Date:  2020-06-09       Impact factor: 8.140

  10 in total

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