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Louis-Emmanuel Martinet

  • PhD
  • Research Fellow
  • Massachusetts General Hospital / Harvard Medical School
  • 5h-indexImpact measure calculated using publication and citation counts. Updated daily.
  • 99CitationsNumber of citations received by Louis-Emmanuel's publications. Updated daily.

Recent publications

  • Ictal and preictal power changes outside of the seizure focus correlate with seizure generalization

    • Naftulin J
    • Ahmed O
    • Piantoni G
    • et al.
    N/AReaders
    4Citations
    Get full text
  • Human seizures couple across spatial scales through travelling wave dynamics

    • Martinet L
    • Fiddyment G
    • Madsen J
    • et al.
    N/AReaders
    23Citations
    Get full text

Professional experience

Research Fellow

Massachusetts General Hospital / Harvard Medical School

January 2016 - Present

Post-doctoral researcher

Boston Univeristy

January 2012 - December 2015(4 years)

Post-doctoral researcher

University Paris 6, University Pierre et Marie Curie (UPMC)

November 2010 - December 2011(a year)

Education

Ph.D.

University Paris 6, University Pierre et Marie Curie (UPMC)

October 2006 - October 2010(4 years)

About

The overall aim of my PhD thesis was to investigate the issue of deriving abstract representations suitable for reasoning and planning from a biomimetic perspective. According to experimental evidence, spatial navigation planning is likely to rely on a distributed neural system in which (i) the hippocampus conveys redundant (and robust) spatial representations to higher cortical areas, (ii) neocortical structures, such as the prefrontal cortex, mediate the elaboration of more abstract and compact representations of the spatial context (e.g., accounting for motivation-dependent memories and action cost/risk constraints) suitable for action planning. Based upon this working hypothesis, we have developed a preliminary navigation planning system. The model is inspired by the columnar organisation of the mammalian cortex, and it provides a neuromimetic architecture capable of learning topological spatial representations and planning goal-directed actions. The planning system has been validated on a classical spatial behavioural task, namely the Tolman & Honzik’s detour protocol (Tolman and Honzik, 1930) whose aim is to show that rodents can use flexible goal-directed trajectories in the presence of blocked pathways. In addition, we used statistical and information theoretic measures to study the neural coding properties of the learnt space representations. The model is now being extended to encode a higher variety of responses of model units (such as prospective-like activity and goal-dependent discharges) and multiscale spatio-temporal correlates.

Co-authors (27)

  • Laura Gonzalez
  • Hinaut Xavier
  • Julien Jacquemot
  • Denis Sheynikhovich
  • Jean-Baptiste PASSOT
  • Laurent Dollé

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