Inactive account, you can find me at @jacquespesnot.bsky.social.
Postdoctoral researcher at ILCB. Computational and neural mechanisms of human learning.
@JacquesPesnot and I are very happy to share this paper. https://t.co/VNJpegYhWn. Building on work by @scychan_brains we show that human in-context and in-weight learning vary with the distributional properties of the training data in a very similar way to transformer networks.
Excited to announce our full-day workshop on “In-context learning in natural and artificial intelligence” at CogSci (@cogsci_soc) 2024 in Rotterdam (with @JacquesPesnot@akjagadish@summerfieldlab and Ishita Dasgupta).
https://t.co/dAPw6VlGMB
How deep learning help us study language comprehension in the human brain? What are the challenges in establishing artificial neural networks as process models of natural language comprehension? Check out our new preprint https://t.co/w1OTirPkei with @_sophiearana and P. Hagoort!
@PourlAudition J'en profite pour remercier chaleureusement la Fondation pour l'Audition 🤗 ! Grâce à cette Bourse, je poursuis depuis plusieurs mois déjà mon projet de postdoc en collaboration avec @summerfieldlab à @UniofOxford@OxExpPsy !
1/15 🚨 New MEG paper on causal inference and multisensory integration! 🚨 Multisensory correlation computations in the human brain identified by a time-resolved encoding model. Collaboration w/ Cesare Parise, @MarcErnst18 and @virginie_vw
https://t.co/bbE6klgtHk [THREAD 👇]
15/15 Many thanks to the participants and to the staff at @NeuroSpin_91 that helped me a lot during the acquisition of the MEG data. Special thanks to @virginie_vw, who supervised the whole project!
14/15 More in our paper “Multisensory correlation computations in the human brain identified by a time-resolved encoding model”. Happy to hear your comments and answer your questions! @imrf2020@IMRF_Conference@multisensoryres https://t.co/bbE6klgtHk