James Bonaiuto
Chargé de Recherche, Institut des Sciences Cognitives, Marc Jeannerod, CNRS
Interests
- motor control
- action based decision making
- oscillations
- beta bursts
- MEG
- computational modeling
- noninvasive brain stimulation
Education
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PhD in Neuroscience, 2010
University of Southern California
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BSc in Computer Science, 2004
Drexel University
Biography
James Bonaiuto is a Chargé de Recherche at the CNRS Institut des Sciences Cognitives in Lyon and head of the Decision, Action, and Neural Computation (DANC) lab. He obtained a PhD in Neuroscience at the University of Southern California in 2010, developing computational models of cortical networks involved in reaching and grasping under the supervision of Michael Arbib. He then went on to work with Richard Andersen at the California Institute of Technology as a Swartz Foundation fellow and developed an integrative model of effector- and value-based decision making. He then moved to University College London working with Sven Bestmann to pioneer the field of computational neurostimulation, and Gareth Barnes to develop the use of subject-specific head-casts for high precision, laminar MEG. Dr. Bonaiuto was recently awarded an ERC consolidator grant (ERC-CoG 2019) to study the mechanisms, functional roles, and development of sensorimotor beta bursts.
Publications
Surfing beta burst waveforms to improve motor imagery-based BCI
Beta bursts question the ruling power for brain–computer interfaces
Bayesian multilevel hidden Markov models identify stable state dynamics in longitudinal recordings from macaque primary motor cortex
Diverse beta burst waveform motifs characterize movement-related cortical dynamics
Detection and analysis of cortical beta bursts in developmental EEG data
An Impending Paradigm Shift in Motor Imagery Based Brain-Computer Interfaces
Laminar dynamics of high amplitude beta bursts in human motor cortex
Estimates of cortical column orientation improve MEG source inversion
