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Hinaut Xavier

  • PhD
  • Post-Doc
  • University of Paris XI

Research Interests

Recurrent Neural Networks; Reservoir Computing: Echo State Networks; Sequence processing; Language processing; Syntactic comprehension; Semantic Role Labeling; dynamic systems; working memory; attractor; Hierarchy; PFC; prefrontal cortex; basal ganglia;

Followers (38)

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Following (45)

  • Nicolas Cazin

    Nicolas Cazin French Institute of Health and Medical Research

  • Sven Magg

    Sven Magg Department of Informatics, University of Hamburg

  • Deniz Ozyildiz

    Deniz Ozyildiz

  • Nicolás Navarro-Guerrero

    Nicolás Navarro-Guerrero

  • Paul Baxter

    Paul Baxter University of Lincoln

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About

His research explores brain mechanisms of complex sequence processing, focusing on language syntactic comprehension. He is interested in using Recurrent Neural Networks to model these processes and investigating how such models can be used in developmental robotics.

Xavier Hinaut received an M.S. in Computer Science from the University of Technology of Compiègne, France in 2008 and an M.S. in Cognitive Science from the Ecole Pratrique des Hautes Etudes, France in 2009. Since 2009, he is pursuing a PhD in Computational Neuroscience at the INSERM Stem Cell and Brain Research Institute in Lyon, France. He works in the Cortical Networks for Cognitive Interaction team under the supervision of PhD Peter Ford Dominey.

Publications

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Professional experience

Post-Doc

University of Paris XI

Present

Post-Doc

Universität Hamburg - University of Hamburg

May 2013 - December 2013 (7 months)

PostDoc fellow

Stem cell and brain research institute (INSERM)

February 2013 - April 2013 (2 months)

PhD Student

Stem cell and brain research institute (INSERM)

September 2009 - January 2013 (3 years 4 months)

Education history

EPHE - Ecole Pratique des Hautes Etudes

Master in Cognitive Sciences

September 2008 - June 2009 (9 months)

UTC - Université de Technologie de Compiègne

Master in Computer Science

September 2005 - September 2008 (3 years)