"Sometimes-competing retrieval (SOCR): A formalization of the comparator hypothesis": Correction to Stout and Miller (2007).

2008 ◽  
Vol 115 (1) ◽  
pp. 82-82
Author(s):  
Steven C. Stout ◽  
Ralph R. Miller
Author(s):  
Lauren Swiney

Over the last thirty years the comparator hypothesis has emerged as a prominent account of inner speech pathology. This chapter discusses a number of cognitive accounts broadly derived from this approach, highlighting the existence of two importantly distinct notions of inner speech in the literature; one as a prediction in the absence of sensory input, the other as an act with sensory consequences that are themselves predicted. Under earlier frameworks in which inner speech is described in the context of classic models of motor control, I argue that these two notions may be compatible, providing two routes to inner speech pathology. Under more recent accounts grounded in the architecture of Bayesian predictive processing, I argue that “active inference” approaches to action generation pose serious challenges to the plausibility of the latter notion of inner speech, while providing the former notion with rich explanatory possibilities for inner speech pathology.


2007 ◽  
Vol 114 (3) ◽  
pp. 759-783 ◽  
Author(s):  
Steven C. Stout ◽  
Ralph R. Miller

2018 ◽  
Vol 154 ◽  
pp. 45-51 ◽  
Author(s):  
Miguel A. Vadillo ◽  
Itxaso Barberia

1998 ◽  
Vol 24 (3) ◽  
pp. 335-351 ◽  
Author(s):  
Aaron P. Blaisdell ◽  
Adam S. Bristol ◽  
Lisa M. Gunther ◽  
Ralph R. Miller

2005 ◽  
Vol 31 (2) ◽  
pp. 184-198 ◽  
Author(s):  
Kouji Urushihara ◽  
Daniel S. Wheeler ◽  
Oskar Pineño ◽  
Ralph R. Miller

1987 ◽  
Vol 13 (3) ◽  
pp. 310-322 ◽  
Author(s):  
Todd R. Schachtman ◽  
Andrea M. Brown ◽  
Elizabeth L. Gordon ◽  
Doreen A. Catterson ◽  
Ralph R. Miller

2018 ◽  
Author(s):  
Miguel A. Vadillo ◽  
Itxaso Barberia

Our ability to detect statistical dependencies between different events in the environment is strongly biased by the number of coincidences between them. Even when there is no true covariation between a cue and an outcome, if the marginal probability of either of them is high, people tend to perceive some degree of statistical contingency between both events. The present paper explores the ability of the Comparator Hypothesis to explain the general pattern of results observed in this literature. Our simulations show that this model can account for the biasing effects of the marginal probabilities of cues and outcomes. Furthermore, the overall fit of the Comparator Hypothesis to a sample of experimental conditions from previous studies is comparable to that of the popular Rescorla-Wagner model. These results should encourage researchers to further explore and put to the test the predictions of the Comparator Hypothesis in the domain of biased contingency detection.


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