Thomas Bourgeron
Professor
University Paris Diderot
From this contributor
Expliquer la résilience à l’autisme peut faire naître de nouvelles thérapies
Explaining ‘resilience’ in autism may seed new therapies
Some individuals who have autism mutations show no signs of the condition; understanding why may lead to treatments.
Explaining ‘resilience’ in autism may seed new therapies
Questions for Thomas Bourgeron: In search of ‘second hits’
Taking a close look at people who have a mutation in a known autism gene may reveal why these people often have vastly different characteristics.
Questions for Thomas Bourgeron: In search of ‘second hits’
Explore more from The Transmitter
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
Embrace complexity to improve the translatability of basic neuroscience
Researchers must learn to view heterogeneity as an essential feature of the systems they study and a central consideration in experimental design, not a variable to control for or reduce.
Embrace complexity to improve the translatability of basic neuroscience
Researchers must learn to view heterogeneity as an essential feature of the systems they study and a central consideration in experimental design, not a variable to control for or reduce.