Literature DB >> 29323517

Individual differences are more than a gene × environment interaction: The role of learning.

Nicola C Byrom1, Robin A Murphy2.   

Abstract

Individual differences in behavior are understood generally as arising from an interaction between genes and environment, omitting a crucial component. The literature on animal and human learning suggests the need to posit principles of learning to explain our differences. One of the challenges for the advancement of the field has been to establish how general principles of learning can explain the almost infinite variation in behavior. We present a case that: (a) individual differences in behavior emerge, in part, from principles of learning; (b) associations provide a descriptive mechanism for understanding the contribution of experience to behavior; and (c) learning theories explain dissociable aspects of behavior. We use 4 examples from the field of learning to illustrate the importance of involving psychology, and associative theory in particular, in the analysis of individual differences, these are (a) fear learning; (b) behavior directed to cues for outcomes (i.e., sign- and goal- tracking); (c) stimulus learning related to attention; and (d) human causal learning. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

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Year:  2018        PMID: 29323517     DOI: 10.1037/xan0000157

Source DB:  PubMed          Journal:  J Exp Psychol Anim Learn Cogn        ISSN: 2329-8456            Impact factor:   2.478


  7 in total

1.  Translations in Stimulus-Stimulus Pairing: Autoshaping of Learner Vocalizations.

Authors:  Stephanie P da Silva; April Michele Williams
Journal:  Perspect Behav Sci       Date:  2019-11-25

2.  More frequent, shorter trials enhance acquisition in a training session: There is a free lunch!

Authors:  Robin A Murphy; James E Witnauer; Santiago Castiello; Anna Tsvetkov; Audrey Li; Doriann M Alcaide; Ralph R Miller
Journal:  J Exp Psychol Gen       Date:  2021-09-27

Review 3.  The Role of the Lateral Habenula in Inhibitory Learning from Reward Omission.

Authors:  Rodrigo Sosa; Jesús Mata-Luévanos; Mario Buenrostro-Jáuregui
Journal:  eNeuro       Date:  2021-06-22

4.  Relationship between behavioral measures of anxiety and latent inhibition in mature rats.

Authors:  Elias Tsakanikos; Phil Reed
Journal:  Learn Behav       Date:  2019-03       Impact factor: 1.986

5.  Isomorphic decisional biases across perceptual tasks.

Authors:  Mario Treviño; Santiago Castiello; Oscar Arias-Carrión; Braniff De la Torre-Valdovinos; Ricardo Medina Coss Y León
Journal:  PLoS One       Date:  2021-01-22       Impact factor: 3.240

6.  Individual variation in the vigor and form of Pavlovian conditioned responses: Analysis of a model system.

Authors:  Robert C Honey; Dominic M Dwyer; Adela F Iliescu
Journal:  Learn Motiv       Date:  2020-11

Review 7.  Human latent inhibition: Problems with the stimulus exposure effect.

Authors:  N C Byrom; R M Msetfi; R A Murphy
Journal:  Psychon Bull Rev       Date:  2018-12
  7 in total

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