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Inferring learning rules from distributions of firing rates in cortical neurons.
Lim, Sukbin; McKee, Jillian L; Woloszyn, Luke; Amit, Yali; Freedman, David J; Sheinberg, David L; Brunel, Nicolas.
Afiliación
  • Lim S; Department of Neurobiology, University of Chicago, Chicago, Illinois, USA.
  • McKee JL; Department of Neurobiology, University of Chicago, Chicago, Illinois, USA.
  • Woloszyn L; Department of Neuroscience, Columbia University, New York, New York, USA.
  • Amit Y; Department of Statistics, University of Chicago, Chicago, Illinois, USA.
  • Freedman DJ; Department of Computer Science, University of Chicago, Chicago, Illinois, USA.
  • Sheinberg DL; Department of Neurobiology, University of Chicago, Chicago, Illinois, USA.
  • Brunel N; Department of Neuroscience, Brown University, Providence, Rhode Island, USA.
Nat Neurosci ; 18(12): 1804-10, 2015 Dec.
Article en En | MEDLINE | ID: mdl-26523643
Information about external stimuli is thought to be stored in cortical circuits through experience-dependent modifications of synaptic connectivity. These modifications of network connectivity should lead to changes in neuronal activity as a particular stimulus is repeatedly encountered. Here we ask what plasticity rules are consistent with the differences in the statistics of the visual response to novel and familiar stimuli in inferior temporal cortex, an area underlying visual object recognition. We introduce a method that allows one to infer the dependence of the presumptive learning rule on postsynaptic firing rate, and we show that the inferred learning rule exhibits depression for low postsynaptic rates and potentiation for high rates. The threshold separating depression from potentiation is strongly correlated with both mean and s.d. of the firing rate distribution. Finally, we show that network models implementing a rule extracted from data show stable learning dynamics and lead to sparser representations of stimuli.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Lóbulo Temporal / Potenciales de Acción / Aprendizaje / Neuronas Límite: Animals Idioma: En Revista: Nat Neurosci Asunto de la revista: NEUROLOGIA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Lóbulo Temporal / Potenciales de Acción / Aprendizaje / Neuronas Límite: Animals Idioma: En Revista: Nat Neurosci Asunto de la revista: NEUROLOGIA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos