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ListarNeurociencias.artículos por tema "Neuroimaging"

ListarNeurociencias.artículos por tema "Neuroimaging"

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  • Author Correction: Retrieval of retrained and reconsolidated memories are associated with a distinct neural network 
    Bavassi, Luz; Forcato, Cecilia; Fernández, Rodrigo Sebastián; De Pino, Gabriela; Pedreira, María Eugenia; Villarreal, Mirta Fabiana (Nature Publishing Group, 2019-04-10)
    A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper. Erratum for Retrieval of retrained and reconsolidated memories are ...
  • Data augmentation based on dynamical systems for the classification of brain states 
    Sanz Perl, Yonatan; Pallavicini, Carla; Perez Ipiña, Ignacio; Kringelbach, Morten; Deco, Gustavo; Laufs, Helmut; Tagliazucchi, Enzo (Elsevier, 2020-07-10)
    The application of machine learning algorithms to neuroimaging data shows great promise for the classification of physiological and pathological brain states. However, classifiers trained on high dimensional data are prone ...
  • Retrieval of Retrained and Reconsolidated Memories Are Associated With a Distinct Neural Network 
    Bavassi, Luz; Forcato, Cecilia; Fernández, Rodrigo Sebastián; De Pino, Gabriela; Pedreira, María Eugenia; Villarreal, Mirta Fabiana (Nature Publishing Group, 2019-01-28)
    Consolidated memories can persist from a single day to years, and persistence is improved by retraining or retrieval-mediated plasticity. One retrieval-based way to strengthen memory is the reconsolidation process. ...

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