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dc.contributor.author
Zylberberg, Ariel Dario  
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Dehaene, Stanislas  
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Mindlin, Bernardo Gabriel  
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Sigman, Mariano  
dc.date.available
2018-10-03T19:10:31Z  
dc.date.issued
2009-03  
dc.identifier.citation
Zylberberg, Ariel Dario; Dehaene, Stanislas; Mindlin, Bernardo Gabriel; Sigman, Mariano; Neurophysiological bases of exponential sensory decay and top-down memory retrieval: A model; Frontiers in Neuroscience; Frontiers in Computational Neuroscience; 3; MAR; 3-2009; 1-16  
dc.identifier.issn
1662-5188  
dc.identifier.uri
http://hdl.handle.net/11336/61595  
dc.description.abstract
Behavioral observations suggest that multiple sensory elements can be maintained for a short time, forming a perceptual buffer which fades after a few hundred milliseconds. Only a subset of this perceptual buffer can be accessed under top-down control and broadcasted to working memory and consciousness. In turn, single-cell studies in awake-behaving monkeys have identified two distinct waves of response to a sensory stimulus: a first transient response largely determined by stimulus properties and a second wave dependent on behavioral relevance, context and learning. Here we propose a simple biophysical scheme which bridges these observations and establishes concrete predictions for neurophsyiological experiments in which the temporal interval between stimulus presentation and top-down allocation is controlled experimentally. Inspired in single-cell observations, the model involves a first transient response and a second stage of amplification and retrieval, which are implemented biophysically by distinct operational modes of the same circuit, regulated by external currents. We explicitly investigated the neuronal dynamics, the memory trace of a presented stimulus and the probability of correct retrieval, when these two stages were bracketed by a temporal gap. The model predicts correctly the dependence of performance with response times in interference experiments suggesting that sensory buffering does not require a specific dedicated mechanism and establishing a direct link between biophysical manipulations and behavioral observations leading to concrete predictions. © 2009 Zylberberg, Dehaene, Mindlin and Sigman.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Frontiers in Neuroscience  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Attentional Blink  
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Attractor Networks  
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Dual-Task Interference  
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Iconic Memory  
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Stochastic Processes  
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Otras Ciencias Biológicas  
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Ciencias Biológicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Neurophysiological bases of exponential sensory decay and top-down memory retrieval: A model  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-10-03T17:31:04Z  
dc.journal.volume
3  
dc.journal.number
MAR  
dc.journal.pagination
1-16  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Nueva York  
dc.description.fil
Fil: Zylberberg, Ariel Dario. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina  
dc.description.fil
Fil: Dehaene, Stanislas. Collège de France; Francia  
dc.description.fil
Fil: Mindlin, Bernardo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina  
dc.description.fil
Fil: Sigman, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina  
dc.journal.title
Frontiers in Computational Neuroscience  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2659975/  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3389/neuro.10.004.2009