Mathias Sablé-Meyer

PhD Candidate (ABD)
PSL/Collège de France & NeuroSpin
mathias.sable-meyer@ens-cachan.fr
@MSableMeyer

Picture of the face of Mathias Sable-Meyer, the author

Research

I am pursuing a PhD under the supervision of Stanislas Dehaene at PSL/Collège de France and NeuroSpin, CEA. I’m interested in humans’ striking ability to manipulate highly abstract structures, be it language, mathematics or music. My work focuses on the perception of geometry, seeking traces of the ability for abstraction in a domain attested to be extremely old: homo erectus already carved abstract geometrical patterns half a million years ago, while other non-human primates seem unable to produce such shapes.

My work relies on experimental psychology to answer specific questions: are certain shapes processed faster and perceived more accurately than others? Even when matched for low-level perceptual features? What characterizes such shapes, and why? We’ve run comparative experiments with French adults at a large scale, together with behavioral data from preschoolers, uneducated adults, and neural networks. This work is moving toward incorporating neuroscience methodologies to answer new questions: EEG in babies to get even more naive participants, and fMRI & MEG in adults to look for perception-independent representations of geometrical shapes.

I also have strong interest in the topics below:

Teaching

See dedicated page, which I used when TAing logic to Philosophy and Cognitive science ENS students in their first year of Master Degree.

Background

After studying math, physics and computer science in prep. classes in France, I entered École Normale Supérieure (ENS) de Cachan in Computer Science where I finished my License (BA) and my first year of Master. During my masters I spent six months in Oxford, UK doing theoretical computer science under the supervision of Luke Ong, working on the semantics of various λ-calculi.

I then took a gap year sailing Gap year: a boat in Ithaca, Félicien, a fire.
A dinner on the island of Ligia, Greece during my gap year. Boat in the background, Félicien Comtat in the foreground.

and decided to focus on cognitive neuroscience: I applied for the CogMaster and worked with Stanislas Dehaene on geometrical sequences. Between that year and my PhD I spent six months at École Normale Supérieure working under the supervision of Salvador Mascarenhas on the links between reasoning and language, as well as six months at MIT under the supervision of Josh Tenenbaum working on program induction and more specifically applying it in the domain of geometry.

Publications

Submitted

2021

2020

2018

  • Library Learning for Neurally-Guided Bayesian Program Induction.
    Kevin Ellis, Lucas Morales, Mathias Sablé-Meyer, Armando Solar-Lezama, Joshua B. Tenenbaum.
    NIPS 2018. Spotlight.

Talks & Seminars

  • Invited speaker at the Brain/AI at Facebook AI Research (FAIR), invited by Jean-Rémi KING: “Sensitivity to geometric shape regularity in humans and baboons: A putative signature of human singularity”, 2021
  • Chairman for the Fondation Les Treilles “Cognitive maps in infants: Initial state and development” 2021
  • Invited member of the seminar “Music, Brain and Education”, organised by Oubradou/Collège de France, 2020
  • Invited speaker at the LINGUAE Seminar: “The laws of mental geometry in human and non-human primates”, 2019
  • FYSSEN seminar “Pillars of cognitive development in mathematics”, 2019
  • Invited young researcher at Centre l’Oubradou, “Where Art, Science & Education connect”, 2018
  • Joint talk with Kevin Ellis: “Dream-Coder: Bootstrapping Domain-Specific Languages for Neurally-Guided Bayesian Program Learning”, at CogSci 2018 workshop on program induction
  • LPPRD seminar, joint talk with Salvador Mascarenhas, invited by Philip Koralis, 2018, handout.
  • The Experimental Philosophy Group, 2017, handout

Posters

Academic Reports

Compression
Structural compression of visual input?

Misc

I’m an avid climber, a competent sailor, an adequate handyman but a terrible mechanic. Occasionally I get hooked into tinkering with various programming languages, neural networks, etc., and when in luck I write about it. Selected examples here:

Other