22 citations
- Université de LilleFR2 papers
- Allen Institute for Brain ScienceUS1 paper
- Analyse et Traitement Informatique de la Langue FrançaiseFR1 paper
- Assistance Publique – Hôpitaux de ParisFR1 paper
- Brown UniversityUS1 paper
- Centre Hospitalier de Saint Jean de DieuFR1 paper
- Centre Hospitalier Universitaire de LilleFR1 paper
- Centre Hospitalier Universitaire de ToursFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Hologic (Germany)DE1 paper
- Hôpital Pierre WertheimerFR1 paper
- Hospices Civils de LyonFR1 paper
7 papers
The dynamic interplay between in-context and in-weight learning in humans and neural networks
Jacob Russin, Ellie Pavlick, Michael J. Frank
Human learning embodies a striking duality: sometimes, we appear capable of following logical, compositional rules and benefit from structured curricula (e.g., in formal education)…
Isolated parkinsonism is an atypical presentation of GRN and C9orf72 gene mutations
Fábio Carneiro, Dario Saracino, Vincent Huin +17
Introduction: A phenotype of isolated parkinsonism mimicking Idiopathic Parkinson's Disease (IPD) is a rare clinical presentation of GRN and C9orf72 mutations, the major genetic ca…
Feedback Gains modulate with Motor Memory Uncertainty
Sae Franklin, David W. Franklin
A sudden change in dynamics produces large errors leading to increases in muscle co-contraction and feedback gains during early adaptation. We previously proposed that internal mod…
Analyse lexicale outill{é}e de la parole transcrite de patients schizophr{è}nes
Maxime Amblard, Karën Fort, Caroline Demily +2
This article details the results of analyses we conducted on the discourse of schizophrenic patients, at the oral production (disfluences) and lexical (part-of-speech and lemmas) l…
Interroger un corpus par le sens
Bernard Jacquemin
In textual knowledge management, statistical methods prevail. Nonetheless, some difficulties cannot be overcome by these methodologies. I propose a symbolic approach using a comple…
Learning and discrimination through STDP in a top-down modulated associative memory
Anthony Mouraud, Hélène Paugam-Moisy
This article underlines the learning and discrimination capabilities of a model of associative memory based on artificial networks of spiking neurons. Inspired from neuropsychology…