James J. Bonaiuto, Ph.D.

Affiliations: 
Institut des Sciences Cognitives Centre National de la Recherche Scientifique (CNRS) 
Area:
action based decision making, computational neurostimulation, MEG, computational modeling
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"James Bonaiuto"
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SNBCP

Parents

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Michael A. Arbib grad student 2004-2010 USC
 (Modeling the mirror system in action observation and execution.)
Richard A. Andersen post-doc 2010-2013 Caltech
Sven Bestmann post-doc 2013-2017 UCL
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Publications

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Zich C, Quinn AJ, Bonaiuto JJ, et al. (2023) Spatiotemporal organization of human sensorimotor beta burst activity. Elife. 12
Daniel PL, Bonaiuto JJ, Bestmann S, et al. (2022) High precision magnetoencephalography reveals increased right-inferior frontal gyrus beta power during response conflict. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior. 158: 127-136
Bonaiuto JJ, Little S, Neymotin SA, et al. (2021) Laminar dynamics of high amplitude beta bursts in human motor cortex. Neuroimage. 118479
Bonaiuto JJ, Afdideh F, Ferez M, et al. (2020) Estimates of cortical column orientation improve MEG source inversion. Neuroimage. 116862
Little S, Bonaiuto J, Barnes G, et al. (2019) Human motor cortical beta bursts relate to movement planning and response errors. Plos Biology. 17: e3000479
Tzovara A, Meyer SS, Bonaiuto JJ, et al. (2019) High-precision magnetoencephalography for reconstructing amygdalar and hippocampal oscillations during prediction of safety and threat. Human Brain Mapping
Bonaiuto JJ, Meyer SS, Little S, et al. (2018) Lamina-specific cortical dynamics in human visual and sensorimotor cortices. Elife. 7
Little S, Bonaiuto J, Meyer SS, et al. (2018) Quantifying the performance of MEG source reconstruction using resting state data. Neuroimage
Bonaiuto JJ, Meyer SS, Little S, et al. (2018) Author response: Lamina-specific cortical dynamics in human visual and sensorimotor cortices Elife
Bonaiuto JJ, Rossiter HE, Meyer SS, et al. (2017) Non-invasive laminar inference with MEG: Comparison of methods and source inversion algorithms. Neuroimage. 167: 372-383
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