Weber's law in decision making: integrating behavioral data in humans with a neurophysiological model

Recent single-cell studies in monkeys (Romo et al., 2004) show that the activity of neurons in the ventral premotor cortex covaries with the animal's decisions in a perceptual comparison task regarding the frequency of vibrotactile events. The firing rate response of these neurons was depen...

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Detalles Bibliográficos
Autores: Deco, Gustavo, Scarano, Leandro, Soto-Faraco, Salvador, 1970-
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2007
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/16661
Acceso en línea:http://hdl.handle.net/10230/16661
http://dx.doi.org/10.1523/JNEUROSCI.1072-07.2007
Access Level:acceso abierto
Palabra clave:Xarxes neuronals (Neurobiologia)
Neurones
Decisió, Presa de
Somatosensory
Vibrotactile discrimination
Decision making
Weber’s law
Multistability
Stochastic neurodynamics
Probabilistic behavior
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spelling Weber's law in decision making: integrating behavioral data in humans with a neurophysiological modelDeco, GustavoScarano, LeandroSoto-Faraco, Salvador, 1970-Xarxes neuronals (Neurobiologia)NeuronesDecisió, Presa deSomatosensoryVibrotactile discriminationDecision makingWeber’s lawMultistabilityStochastic neurodynamicsProbabilistic behaviorRecent single-cell studies in monkeys (Romo et al., 2004) show that the activity of neurons in the ventral premotor cortex covaries with the animal's decisions in a perceptual comparison task regarding the frequency of vibrotactile events. The firing rate response of these neurons was dependent only on the frequency differences between the two applied vibrations, the sign of that difference being the determining factor for correct task performance. We present a biophysically realistic neurodynamical model that can account for the most relevant characteristics of this decision-making-related neural activity. One of the nontrivial predictions of this model is that Weber's law will underlie the perceptual discrimination behavior. We confirmed this prediction in behavioral tests of vibrotactile discrimination in humans and propose a computational explanation of perceptual discrimination that accounts naturally for the emergence of Weber's law. We conclude that the neurodynamical mechanisms and computational principles underlying the decision-making processes in this perceptual discrimination task are consistent with a fluctuation-driven scenario in a multistable regime.Society for Neuroscience201220122007info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/16661http://dx.doi.org/10.1523/JNEUROSCI.1072-07.2007reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésJ. Neurosci. 2007;27(42):11192-00© 2007, Society for Neuroscience. The published version is available at: http://www.jneurosci.org/content/27/42/11192info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/166612026-06-12T07:21:37Z
dc.title.none.fl_str_mv Weber's law in decision making: integrating behavioral data in humans with a neurophysiological model
title Weber's law in decision making: integrating behavioral data in humans with a neurophysiological model
spellingShingle Weber's law in decision making: integrating behavioral data in humans with a neurophysiological model
Deco, Gustavo
Xarxes neuronals (Neurobiologia)
Neurones
Decisió, Presa de
Somatosensory
Vibrotactile discrimination
Decision making
Weber’s law
Multistability
Stochastic neurodynamics
Probabilistic behavior
title_short Weber's law in decision making: integrating behavioral data in humans with a neurophysiological model
title_full Weber's law in decision making: integrating behavioral data in humans with a neurophysiological model
title_fullStr Weber's law in decision making: integrating behavioral data in humans with a neurophysiological model
title_full_unstemmed Weber's law in decision making: integrating behavioral data in humans with a neurophysiological model
title_sort Weber's law in decision making: integrating behavioral data in humans with a neurophysiological model
dc.creator.none.fl_str_mv Deco, Gustavo
Scarano, Leandro
Soto-Faraco, Salvador, 1970-
author Deco, Gustavo
author_facet Deco, Gustavo
Scarano, Leandro
Soto-Faraco, Salvador, 1970-
author_role author
author2 Scarano, Leandro
Soto-Faraco, Salvador, 1970-
author2_role author
author
dc.subject.none.fl_str_mv Xarxes neuronals (Neurobiologia)
Neurones
Decisió, Presa de
Somatosensory
Vibrotactile discrimination
Decision making
Weber’s law
Multistability
Stochastic neurodynamics
Probabilistic behavior
topic Xarxes neuronals (Neurobiologia)
Neurones
Decisió, Presa de
Somatosensory
Vibrotactile discrimination
Decision making
Weber’s law
Multistability
Stochastic neurodynamics
Probabilistic behavior
description Recent single-cell studies in monkeys (Romo et al., 2004) show that the activity of neurons in the ventral premotor cortex covaries with the animal's decisions in a perceptual comparison task regarding the frequency of vibrotactile events. The firing rate response of these neurons was dependent only on the frequency differences between the two applied vibrations, the sign of that difference being the determining factor for correct task performance. We present a biophysically realistic neurodynamical model that can account for the most relevant characteristics of this decision-making-related neural activity. One of the nontrivial predictions of this model is that Weber's law will underlie the perceptual discrimination behavior. We confirmed this prediction in behavioral tests of vibrotactile discrimination in humans and propose a computational explanation of perceptual discrimination that accounts naturally for the emergence of Weber's law. We conclude that the neurodynamical mechanisms and computational principles underlying the decision-making processes in this perceptual discrimination task are consistent with a fluctuation-driven scenario in a multistable regime.
publishDate 2007
dc.date.none.fl_str_mv 2007
2012
2012
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/16661
http://dx.doi.org/10.1523/JNEUROSCI.1072-07.2007
url http://hdl.handle.net/10230/16661
http://dx.doi.org/10.1523/JNEUROSCI.1072-07.2007
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv J. Neurosci. 2007;27(42):11192-00
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Society for Neuroscience
publisher.none.fl_str_mv Society for Neuroscience
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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