Literature DB >> 24333530

The study of associative learning: mapping from psychological to neural levels of analysis.

Andrew R Delamater1, K Matthew Lattal2.   

Abstract

One of the major achievements of the last century of research in experimental psychology is the identification of a coherent set of theories and principles to characterize the nature of simple forms of associative learning. Major advances are also currently being made at a rapid pace in the neurobiology of associative learning, and, interestingly, we are beginning to see how a mapping from a psychological level of analysis to underlying neurobiological mechanisms is possible. This collection of papers honors the illustrative careers of four major learning theorists from the experimental psychology tradition (Robert Rescorla, Allan Wagner, Nicholas Mackintosh, Anthony Dickinson) who have helped shape our understanding of behavioral principles. The collection of works in this special issue reflects common interests among researchers working at both psychological and neurobiological levels of analysis towards a more comprehensive understanding of basic associative learning processes as they relate to several key issues identified and intensively studied by these influential learning theorists. These consist of the questions regarding (1) the critical conditions enabling learning, (2) the contents of learning, and (3) the rules that translate learning into performance. In one way or another, the separate contributions in this issue address these fundamental questions as they relate to a wide variety of currently exciting topics in the study of the neurobiology of learning and memory.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 24333530      PMCID: PMC4444052          DOI: 10.1016/j.nlm.2013.12.006

Source DB:  PubMed          Journal:  Neurobiol Learn Mem        ISSN: 1074-7427            Impact factor:   2.877


  6 in total

1.  Are theories of learning necessary?

Authors:  B F SKINNER
Journal:  Psychol Rev       Date:  1950-07       Impact factor: 8.934

2.  The comparative analysis of learning.

Authors:  M E Bitterman
Journal:  Science       Date:  1975-05-16       Impact factor: 47.728

Review 3.  Context representations, context functions, and the parahippocampal-hippocampal system.

Authors:  Jerry W Rudy
Journal:  Learn Mem       Date:  2009-09-30       Impact factor: 2.460

4.  A model for stimulus generalization in Pavlovian conditioning.

Authors:  J M Pearce
Journal:  Psychol Rev       Date:  1987-01       Impact factor: 8.934

5.  Protein synthesis and memory: a review.

Authors:  H P Davis; L R Squire
Journal:  Psychol Bull       Date:  1984-11       Impact factor: 17.737

Review 6.  Predictive reward signal of dopamine neurons.

Authors:  W Schultz
Journal:  J Neurophysiol       Date:  1998-07       Impact factor: 2.714

  6 in total
  3 in total

1.  Associative learning and timing.

Authors:  Kimberly Kirkpatrick; Peter D Balsam
Journal:  Curr Opin Behav Sci       Date:  2016-02-17

2.  Response-Outcome versus Outcome-Response Associations in Pavlovian-to-Instrumental Transfer: Effects of Instrumental Training Context.

Authors:  Kerry E Gilroy; Ebony M Everett; Andrew R Delamater
Journal:  Int J Comp Psychol       Date:  2014-09-01

3.  Functional Compartmentalization of the Contribution of Hippocampal Subfields to Context-Dependent Extinction Learning.

Authors:  Marta Méndez-Couz; Jana M Becker; Denise Manahan-Vaughan
Journal:  Front Behav Neurosci       Date:  2019-11-14       Impact factor: 3.558

  3 in total

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