Goal tracking in attentional-associative networks: Spatial learning and the hippocampus

Moore, John W.; Stickney, Kenneth J.

doi:10.3758/bf03332937

Cited by 44 publications

(11 citation statements)

References 13 publications

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“…Changes in response probabilities with changes in trial intervals and ITIs (Balsam & Tomie, 1985;Gibbon & Balsam, 1981;Jenkins, Barnes, & Barrera, 1981) may be associated with changes in those parameters. Pretraining (Killeen, 1984;Linden, Savage, & Overmier, 1997) may play a crucial role by establishing initial values for p. Various other controlling variables in autoshaped performance (e.g., Bowe, Green, & Miller, 1987;Ploog & Zeigler, 1996;Silva, Silva, & Pear, 1992;Steinhauer, 1982) may effect their control through changing system parameters such as those modeled in Figure 4, or in more complicated neural network models (e.g., J. W. Moore & Stickney, 1982). Figure 6 displayed the close relation between the expected probability of a response and the rate of responding on the subsequent trial.…”

Section: Discussionmentioning

confidence: 99%

Complex dynamic processes in sign tracking with an omission contingency (negative automaintenance).

Killeen¹

2003

Journal of Experimental Psychology: Animal Behavior Processes

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Hungry pigeons received food periodically, signaled by the onset of a keylight. Key pecks aborted the feeding. Subjects responded for thousands of trials, despite the contingent nonreinforcement, with varying probability as the intertrial interval was varied. Hazard functions showed the dominant tendency to be perseveration in responding and not responding. Once perseveration was accounted for, a linear operator model of associative conditioning further improved predictions. Response rates during trials were correlated with the prior probabilities of a response. Rescaled range analyses showed that the behavioral trajectories were a kind of fractional Brownian motion.

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Section: Discussionmentioning

confidence: 99%

Complex dynamic processes in sign tracking with an omission contingency (negative automaintenance).

Killeen¹

2003

Journal of Experimental Psychology: Animal Behavior Processes

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“…the same extent that the excitatory association stimulates it. This mechanism has been incorporated into a large number and variety of theories (e.g., Bouton, 35 Hull, 47 Konorski, 48 Moore and Stickney, 49 Pearce,50,51 Pearce and Hall 52 and Wanger 53 ). In order to account for recovery of fear following extinction, many of these sorts of 'new learning' accounts propose that the inhibitory association is not always expressed, either because it is particularly 'fragile' or subject to disruption 4 or because it is gated by context, where 'context' is defined broadly to include temporal and interoceptive cues, as well as spatial ones.…”

Section: New Learningmentioning

confidence: 99%

Mechanisms of fear extinction

2006

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Excessive fear and anxiety are hallmarks of a variety of disabling anxiety disorders that affect millions of people throughout the world. Hence, a greater understanding of the brain mechanisms involved in the inhibition of fear and anxiety is attracting increasing interest in the research community. In the laboratory, fear inhibition most often is studied through a procedure in which a previously fear conditioned organism is exposed to a fear-eliciting cue in the absence of any aversive event. This procedure results in a decline in conditioned fear responses that is attributed to a process called fear extinction. Extensive empirical work by behavioral psychologists has revealed basic behavioral characteristics of extinction, and theoretical accounts have emphasized extinction as a form of inhibitory learning as opposed to an erasure of acquired fear. Guided by this work, neuroscientists have begun to dissect the neural mechanisms involved, including the regions in which extinction-related plasticity occurs and the cellular and molecular processes that are engaged. The present paper will cover behavioral, theoretical and neurobiological work, and will conclude with a discussion of clinical implications. Molecular Psychiatry (2007) 12, 120-150.

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“…Moore (1979) and Solomon (1979) suggested that atten uated stimuli were those with a history of being irrelevant, not just those correlated with nonreinforcement. As an extension of Mackintosh's (J 975) attentional hypothesis of stimulus selection, Moore & Stickney (1982) proposed a computational process whereby hippocampal damage would prevent individual cue saliences from being tuned out. Schmajuk & Moore (1985) proposed a real-time variation on this approach, which drew upon the earlier behavioral modeling of Pearce & Hall (1980).…”

Section: Information-processing Theoriesmentioning

confidence: 99%