A Bayesian sense of probability in the human brain: Its characteristics, neural bases and functions

Project Information

NEURAL-PROB

Grant agreement ID: 948105

DOI 10.3030/948105

EC signature date 10 December 2020

Start date 1 February 2021

End date 31 January 2027

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost € 1 499 963,00

EU contribution € 1 499 963,00

Coordinated by

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
France

Deliverables

Open Research Data Pilot (1)

Data Management Plan (DMP)

dissemination of the data (open research)

Publications

Peer reviewed articles (5)

A characterization of the neural representation of confidence during probabilistic learning

Author(s): Bounmy T, Eger E, Meyniel F
Published in: neuroimage, 2023, ISSN 1053-8119
Publisher: Academic Press
DOI: 10.1016/j.neuroimage.2022.119849

Studying the neural representations of uncertainty

Author(s): Walker YE, Pohl S, Denison RN, Barack DL, Lee J, Block N, Ma WJ, Meyniel F
Published in: Nature Neuroscience, 2023, ISSN 1097-6256
Publisher: Nature Publishing Group

Brainstem fMRI signaling of surprise across different types of deviant stimuli

Author(s): Mazancieux A, Mauconduit F, Amadon A, de Gee JW, Donner H. T, Meyniel F
Published in: Cell reports, 2023, ISSN 2211-1247
Publisher: Cell Press

Resource-rational account of sequential effects in human prediction

Author(s): Arthur Prat-Carrabin, Florent Meyniel, Rava Azeredo da Silveira
Published in: eLife, 2024, ISSN 2050-084X
Publisher: eLife Sciences Publications
DOI: 10.7554/elife.81256

Gated recurrence enables simple and accurate sequence prediction in stochastic, changing, and structured environments

Author(s): Cédric Foucault, Florent Meyniel
Published in: eLife, 2021, ISSN 2050-084X
Publisher: eLife Sciences Publications
DOI: 10.7554/elife.71801