Neural Comput - Dissociable forms of repetition priming: a computational model.

Tópicos

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Resumo

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.

Resumo Limpo

nondeclar memori novelti process brain activ studi field neurosci reduc neural activ repetit stimulus repetit suppress common observ phenomenon recent find opposit trendspecif rise activ unfamiliar stimuliquest general repetit suppress stir debat under neural mechan letter introduc theori comput model extend exist theori suggest trend principl rise fall part invert ushap depend activ respect stimulus novelti may natur emerg neural network hebbian learn later inhibit demonstr propos model suffici simul dissoci form repetit prime use realworld stimuli result simul also suggest novelti stimuli use neuroscientif research must assess particular cautious way potenti import invertedu stimulus process relationship acquisit knowledg compet human also discuss

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