Literature DB >> 12088244

Acquisition and extinction in autoshaping.

Sham Kakade1, Peter Dayan.   

Abstract

C. R. Gallistel and J. Gibbon (2000) presented quantitative data on the speed with which animals acquire behavioral responses during autoshaping, together with a statistical model of learning intended to account for them. Although this model captures the form of the dependencies among critical variables, its detailed predictions are substantially at variance with the data. In the present article, further key data on the speed of acquisition are used to motivate an alternative model of learning, in which animals can be interpreted as paying different amounts of attention to stimuli according to estimates of their differential reliabilities as predictors.

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Year:  2002        PMID: 12088244     DOI: 10.1037/0033-295x.109.3.533

Source DB:  PubMed          Journal:  Psychol Rev        ISSN: 0033-295X            Impact factor:   8.934


  31 in total

1.  The learning curve: implications of a quantitative analysis.

Authors:  Charles R Gallistel; Stephen Fairhurst; Peter Balsam
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-26       Impact factor: 11.205

2.  When more is less: the fitness consequences of predators attacking more unpalatable prey when more are presented.

Authors:  Hannah M Rowland; Elizabeth Wiley; Graeme D Ruxton; Johanna Mappes; Michael P Speed
Journal:  Biol Lett       Date:  2010-05-05       Impact factor: 3.703

3.  Bayesian approaches to associative learning: from passive to active learning.

Authors:  John K Kruschke
Journal:  Learn Behav       Date:  2008-08       Impact factor: 1.986

4.  Behavioural and neural evidence for self-reinforcing expectancy effects on pain.

Authors:  Marieke Jepma; Leonie Koban; Johnny van Doorn; Matt Jones; Tor D Wager
Journal:  Nat Hum Behav       Date:  2018-10-29

5.  A mixed filter algorithm for cognitive state estimation from simultaneously recorded continuous and binary measures of performance.

Authors:  M J Prerau; A C Smith; U T Eden; M Yanike; W A Suzuki; E N Brown
Journal:  Biol Cybern       Date:  2008-04-26       Impact factor: 2.086

6.  Characterizing learning by simultaneous analysis of continuous and binary measures of performance.

Authors:  M J Prerau; A C Smith; Uri T Eden; Y Kubota; M Yanike; W Suzuki; A M Graybiel; E N Brown
Journal:  J Neurophysiol       Date:  2009-08-19       Impact factor: 2.714

7.  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

8.  Exploring a latent cause theory of classical conditioning.

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

9.  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

10.  The dynamics of conditioning and extinction.

Authors:  Peter R Killeen; Federico Sanabria; Igor Dolgov
Journal:  J Exp Psychol Anim Behav Process       Date:  2009-10
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