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Dissociable forms of repetition priming: a computational model.
- Source :
-
Neural computation [Neural Comput] 2014 Apr; Vol. 26 (4), pp. 712-38. Date of Electronic Publication: 2014 Jan 30. - Publication Year :
- 2014
-
Abstract
- 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.
Details
- Language :
- English
- ISSN :
- 1530-888X
- Volume :
- 26
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Neural computation
- Publication Type :
- Academic Journal
- Accession number :
- 24479780
- Full Text :
- https://doi.org/10.1162/NECO_a_00569