On the relationship between persistent delay activity, repetition enhancement and priming.
Abstract
Human efficiency in processing incoming stimuli (in terms of speed and/or accuracy)
is typically enhanced by previous exposure to the same, or closely related stimuli-a
phenomenon referred to as priming. In spite of the large body of knowledge accumulated
in behavioral studies about the conditions conducive to priming, and its relationship
with other forms of memory, the underlying neuronal correlates of priming are still
under debate. The idea has repeatedly been advanced that a major neuronal mechanism
supporting behaviorally-expressed priming is repetition suppression, a widespread
reduction of spiking activity upon stimulus repetition which has been routinely exposed
by single-unit recordings in non-human primates performing delayed-response, as well
as passive fixation tasks. This proposal is mainly motivated by the observation that,
in human fMRI studies, priming is associated to a significant reduction of the BOLD
signal (widely interpreted as a proxy of the level of spiking activity) upon stimulus
repetition. Here, we critically re-examine a large part of the electrophysiological
literature on repetition suppression in non-human primates and find that repetition
suppression is systematically accompanied by stimulus-selective delay period activity,
together with repetition enhancement, an increase of spiking activity upon stimulus
repetition in small neuronal populations. We argue that repetition enhancement constitutes
a more viable candidate for a putative neuronal substrate of priming, and propose
a minimal framework that links together, mechanistically and functionally, repetition
suppression, stimulus-selective delay activity and repetition enhancement.
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http://hdl.handle.net/10161/15113Published Version (Please cite this version)
10.3389/fpsyg.2014.01590Publication Info
Tartaglia, EM; Mongillo, G; & Brunel, Nicolas (2014). On the relationship between persistent delay activity, repetition enhancement and priming. Front Psychol, 5. pp. 1590. 10.3389/fpsyg.2014.01590. Retrieved from http://hdl.handle.net/10161/15113.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Nicolas Brunel
Professor of Neurobiology
We use theoretical models of brain systems to investigate how they process and learn
information from their inputs. Our current work focuses on the mechanisms of learning
and memory, from the synapse to the network level, in collaboration with various experimental
groups. Using methods fromstatistical physics, we have shown recently that the synapticconnectivity
of a network that maximizes storage capacity reproducestwo key experimentally observed
features: low connection proba

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