scholarly journals Recovery from the overexpectation effect: Contrasting performance-focused and acquisition-focused models of retrospective revaluation

2001 ◽  
Vol 29 (4) ◽  
pp. 367-380 ◽  
Author(s):  
Aaron P. Blaisdell ◽  
James C. Denniston ◽  
Ralph R. Miller
Keyword(s):  
Retrospective Revaluation

scholarly journals Retrospective revaluation: The phenomenon and its theoretical implications

2016 ◽  
Vol 123 ◽  
pp. 15-25 ◽  
Author(s):  
Ralph R. Miller ◽  
James E. Witnauer
Keyword(s):  
Retrospective Revaluation

scholarly journals Associative Learning from Replayed Experience

2017 ◽  
Author(s):  
Elliot A. Ludvig ◽  
Mahdieh S. Mirian ◽  
E. James Kehoe ◽  
Richard S. Sutton
Keyword(s):  
Associative Learning ◽  
Spontaneous Recovery ◽  
Explanatory Power ◽  
Learning Rule ◽  
Associative Model ◽  
Retrospective Revaluation ◽  
Spacing Effects ◽  
Trial Spacing ◽  
Associative Models ◽  
Present Simulation

AbstractWe develop an extension of the Rescorla-Wagner model of associative learning. In addition to learning from the current trial, the new model supposes that animals store and replay previous trials, learning from the replayed trials using the same learning rule. This simple idea provides a unified explanation for diverse phenomena that have proved challenging to earlier associative models, including spontaneous recovery, latent inhibition, retrospective revaluation, and trial spacing effects. For example, spontaneous recovery is explained by supposing that the animal replays its previous trials during the interval between extinction and test. These include earlier acquisition trials as well as recent extinction trials, and thus there is a gradual re-acquisition of the conditioned response. We present simulation results for the simplest version of this replay idea, where the trial memory is assumed empty at the beginning of an experiment, all experienced trials are stored and none removed, and sampling from the memory is performed at random. Even this minimal replay model is able to explain the challenging phenomena, illustrating the explanatory power of an associative model enhanced by learning from remembered as well as real experiences.

A Novel Means of Differentiating Between Accounts of Retrospective Revaluation

2009 ◽  
Author(s):  
Bridget L. McConnell ◽  
Kouji Urushihara ◽  
Yumu Tanaka ◽  
Ralph R. Miller
Keyword(s):  
Retrospective Revaluation

scholarly journals Retrospective revaluation of associative retroactive cue interference

2013 ◽  
Vol 42 (1) ◽  
pp. 47-57 ◽  
Author(s):  
Gonzalo Miguez ◽  
Mario A. Laborda ◽  
Ralph R. Miller
Keyword(s):  
Retrospective Revaluation ◽  
Cue Interference
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