Mathias Sablé-Meyer

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

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 ask specific questions: are certain processed faster/memorized longer/confused less easily with 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 interested and have worked, collaborated or wish to work on the following topics:

Teaching

See dedicated page

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.

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

Under review

2020

  • Logo

    Mathias Sablé-Meyer, Joel Fagot, Serge Caparos, Timo van Kerkoerle, Marie Amalric, Stanislas Dehaene. A signature of human uniqueness in the perception of geometric shapes. PsyArXiv
  • Mathias Sablé-Meyer, Salvador Mascarenhas. Indirect illusory inferences from disjunction: a new bridge between deductive inference and representativeness, under review. PsyArXiv, associated data and scripts, tools for the study of mSentential

Peer reviewed

2019

  • Catherine Wong, Kevin Ellis, Mathias Sablé-Meyer, Joshua B. Tenenbaum, Modeling Expertise with Neurally-Guided Bayesian Program Induction, abstract at CogSci 2019 ref

2018

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

Talks & Seminars

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