Wang, L.; Amalric, M.; Fang, W.; Jiang, X.; Pallier, C.; Figueira, S.; Sigman, M.; Dehaene, S. "Representation of spatial sequences using nested rules in human prefrontal cortex" (2019) NeuroImage. 186:245-255
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Memory for spatial sequences does not depend solely on the number of locations to be stored, but also on the presence of spatial regularities. Here, we show that the human brain quickly stores spatial sequences by detecting geometrical regularities at multiple time scales and encoding them in a format akin to a programming language. We measured gaze-anticipation behavior while spatial sequences of variable regularity were repeated. Participants’ behavior suggested that they quickly discovered the most compact description of each sequence in a language comprising nested rules, and used these rules to compress the sequence in memory and predict the next items. Activity in dorsal inferior prefrontal cortex correlated with the amount of compression, while right dorsolateral prefrontal cortex encoded the presence of embedded structures. Sequence learning was accompanied by a progressive differentiation of multi-voxel activity patterns in these regions. We propose that humans are endowed with a simple “language of geometry” which recruits a dorsal prefrontal circuit for geometrical rules, distinct from but close to areas involved in natural language processing. © 2018


Documento: Artículo
Título:Representation of spatial sequences using nested rules in human prefrontal cortex
Autor:Wang, L.; Amalric, M.; Fang, W.; Jiang, X.; Pallier, C.; Figueira, S.; Sigman, M.; Dehaene, S.
Filiación:Institute of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China
Collège de France, Paris, France
Cognitive Neuroimaging Unit, CEA DSV/I2BM, INSERM, Université Paris-Sud, Université Paris-Saclay, NeuroSpin Center, Gif/Yvette, 91191, France
Sorbonne Universités, UPMC Univ Paris 06, IFD, 4 place Jussieu, Paris, France
Key Laboratory of Brain Functional Genomics, Institute of Cognitive Neuroscience, School of Psychology and Cognitive Science, East China Normal University, Shanghai, 200062, China
Department of Computer Science, FCEN, University of Buenos Aires and ICC-CONICET, Argentina
Laboratorio de Neurociencia, Universidad Torcuato Di Tella, Buenos Aires, Argentina
CONICET (Consejo Nacional de Investigaciones Científicas y Técnicas), Argentina
Facultad de Lenguas y Educación, Universidad Nebrija, Madrid, Spain
Palabras clave:adult; Article; controlled study; dorsal inferior prefrontal cortex; dorsolateral prefrontal cortex; female; gaze; human; human experiment; language processing; learning; male; memory consolidation; nerve cell network; neuroanatomy; neurophysiology; normal human; prediction; prefrontal cortex; priority journal; working memory
Página de inicio:245
Página de fin:255
Título revista:NeuroImage
Título revista abreviado:NeuroImage


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---------- APA ----------
Wang, L., Amalric, M., Fang, W., Jiang, X., Pallier, C., Figueira, S., Sigman, M.,..., Dehaene, S. (2019) . Representation of spatial sequences using nested rules in human prefrontal cortex. NeuroImage, 186, 245-255.
---------- CHICAGO ----------
Wang, L., Amalric, M., Fang, W., Jiang, X., Pallier, C., Figueira, S., et al. "Representation of spatial sequences using nested rules in human prefrontal cortex" . NeuroImage 186 (2019) : 245-255.
---------- MLA ----------
Wang, L., Amalric, M., Fang, W., Jiang, X., Pallier, C., Figueira, S., et al. "Representation of spatial sequences using nested rules in human prefrontal cortex" . NeuroImage, vol. 186, 2019, pp. 245-255.
---------- VANCOUVER ----------
Wang, L., Amalric, M., Fang, W., Jiang, X., Pallier, C., Figueira, S., et al. Representation of spatial sequences using nested rules in human prefrontal cortex. NeuroImage. 2019;186:245-255.