Dissociable forms of repetition priming: A computational model

Makukhin, Kirill & Bolland, Scott (2014) Dissociable forms of repetition priming: A computational model. Neural Computation, 26(4), pp. 712-738.

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Nondeclarative memory and novelty processing in the brain is an actively studied field of neuroscience, and reducing neural activity with repetition of a stimulus (repetition suppression) is a commonly observed phenomenon. Recent findings of an opposite trend specifically, rising activity for unfamiliar stimuli—question the generality of repetition suppression and stir debate over the underlying neural mechanisms. This letter introduces a theory and computational model that extend existing theories and suggests that both trends are, in principle, the rising and falling parts of an inverted U-shaped dependence of activity with respect to stimulus novelty that may naturally emerge in a neural network with Hebbian learning and lateral inhibition. We further demonstrate that the proposed model is sufficient for the simulation of dissociable forms of repetition priming using real-world stimuli. The results of our simulation also suggest that the novelty of stimuli used in neuroscientific research must be assessed in a particularly cautious way. The potential importance of the inverted-U in stimulus processing and its relationship to the acquisition of knowledge and competencies in humans is also discussed

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ID Code: 88664
Item Type: Journal Article
Refereed: Yes
DOI: 10.1162/NECO_a_00569
ISSN: 0899-7667
Divisions: Current > QUT Faculties and Divisions > QUT Business School
Copyright Owner: © 2014 Massachusetts Institute of Technology
Deposited On: 03 Nov 2015 00:31
Last Modified: 03 Nov 2015 00:31

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