Decision, Action, and Neural Computation Lab
James Bonaiuto (Principal Investigator)


James Bonaiuto completed his PhD in 2010 with Michael Arbib at the University of Southern California developing computational models of reach and grasp performance and observation. He then performed postdoctoral research with Richard Andersen at the California Institute of Technology using computational modeling and reversible muscimol inactivation with nonhuman primates to develop an integrative model of effector- and value-based decision making. He then moved to University College London working with Sven Bestmann and Gareth Barnes using tDCS and EEG to study action-based and perceptual decision making, and action selection. There he helped pioneer the use of subject-specific head-casts for high precision MEG, and was the first to show, non-invasively in the human brain, the laminar- and frequency-specific correlates of action selection.

Selected Papers
  • Maciej J. Szul, Sotirios Papadopoulos, Sanaz Alavizadeh, Sèbastien Daligaut, Denis Schwartz, Jèrèmie Mattout, James J. Bonaiuto
    Diverse beta burst waveform motifs characterize movement-related cortical dynamics
    Progress in Neurobiology, 102490, Vol: 228, (2023), doi: 10.1016/j.pneurobio.2023.102490
  • H.Rayson, M.J.Szul, P.El-Khoueiry, R.Debnath, M.Gautier-Martins, P.F.Ferrari, N.Fox, J.J.Bonaiuto
    Bursting with Potential: How Sensorimotor Beta Bursts Develop from Infancy to Adulthood
    The Journal of Neuroscience, 8487–8503, Vol: 43, (2023), doi: 10.1523/jneurosci.0886-23.2023
  • James J Bonaiuto, Simon Little, Samuel A Neymotin, Stephanie R Jones, Gareth R Barnes, Sven Bestmann
    Laminar dynamics of high amplitude beta bursts in human motor cortex
    NeuroImage, 118479, Vol: 242, (2021), doi: 10.1016/j.neuroimage.2021.118479
  • James J. Bonaiuto, Fardin Afdideh, Maxime Ferez, Konrad Wagstyl, Jérémie Mattout, Mathilde Bonnefond, Gareth R. Barnes, Sven Bestmann
    Estimates of cortical column orientation improve MEG source inversion
    NeuroImage, 116862, Vol: 216, (2020), doi:
  • J.J.Bonaiuto, S.S.Meyer, S.Little, H.Rossiter, M.F.Callaghan, F.Dick, G.R.Barnes, S.Bestmann
    Lamina-specific cortical dynamics in human visual and sensorimotor cortices.
    eLife, Vol: 7, (2018), doi: 10.7554/eLife.33977
Other Papers
  • Alice Massera, James J. Bonaiuto, Marine Gautier-Martins, Sara Costa, Holly Rayson, Pier Francesco Ferrari
    Longitudinal effects of early psychosocial deprivation on macaque executive function: Evidence from computational modelling
    Proceedings of the Royal Society B: Biological Sciences, Vol: 290, (2023), doi: 10.1098/rspb.2022.1993
  • Stephan J. Ihle, James J. Bonaiuto, Sven Bestmann, Klaas Enno Stephan, Gareth R. Barnes, Jakob Heinzle
    Dynamic causal modeling of layered magnetoencephalographic event-related responses
    (2020), doi: 10.1101/2020.07.20.208504
  • G.Coudè, G.Toschi, F.Festante, M.Bimbi, J.Bonaiuto, P.F.Ferrari
    Grasping Neurons in the Ventral Premotor Cortex of Macaques Are Modulated by Social Goals.
    Journal of cognitive neuroscience, 299--313, Vol: 31, (2019), doi: 10.1162/jocn_a_01353
  • Karen L. Bunday, James Bonaiuto, Sonia Betti, Guy A. Orban, Marco Davare
    Mapping effective connectivity between the frontal and contralateral primary motor cortex using dual-coil transcranial magnetic stimulation
    (2019), doi: 10.1101/743351
  • Simon Little, James Bonaiuto, Gareth Barnes, Sven Bestmann
    Human motor cortical beta bursts relate to movement planning and response errors
    PLOS Biology, e3000479, Vol: 17, (2019), doi: 10.1371/journal.pbio.3000479
  • James J. Bonaiuto, Holly E. Rossiter, Sofie S. Meyer, Natalie Adams, Simon Little, Martina F. Callaghan, Fred Dick, Sven Bestmann, Gareth R. Barnes
    Non-invasive laminar inference with MEG: Comparison of methods and source inversion algorithms
    NeuroImage, 372--383, Vol: 167, (2018), doi: 10.1016/j.neuroimage.2017.11.068
  • Simon Little, James Bonaiuto, Sofie S. Meyer, Jose Lopez, Sven Bestmann, Gareth Barnes
    Quantifying the performance of MEG source reconstruction using resting state data
    NeuroImage, 453--460, Vol: 181, (2018), doi: 10.1016/j.neuroimage.2018.07.030

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