Mathias Sablé-Meyer

This study trains baboons on geometric concepts and finds they can learn geometric properties but do not show human-like sensitivity to geometric regularity in shape recognition tasks.

This paper proposes a mechanistic theory of planning in prefrontal cortex using spacetime attractors, showing that recurrent neural networks trained on planning tasks recapitulate this structure.

This study investigates the neural mechanisms of geometric shape perception in humans using fMRI and MEG, finding distinct brain activation patterns and suggesting a symbolic mode of visual processing.

The paper investigates how humans process auditory sequences with network structures using MEG, finding rapid encoding of network structure and a long-horizon associative learning mechanism.