Decision, Action, and Neural Computation Lab
Decision, Action, and Neural Computation Lab

(PI: James Bonaiuto)

The brain evolved to control movement: to prepare and perform actions, and use sensory inputs to learn internal models to guide actions. Motor processes have therefore been fundamental to the evolution of the human brain including functions thought of as being uniquely human. The Decision, Action, and Neural Computation lab studies how the brain produces actions: how it decides what actions to perform, how it prepares to perform an action once this decision has been made, and how it updates its internal representations based on the outcome of the action.

We have several ongoing projects including 1) investigation of the mechanisms, functional roles, and development of bursts of beta activity in motor cortex, 2) development of high precision MEG techniques for laminar analyses, 3) noninvasive brain-machine interfaces for motor rehabilitation, and 4) signatures of long-term sensorimotor learning in neural population activity.

We use a multimodal and comprehensive approach in our projects, combining experimentation, data simulation, and computational neural modeling. We are ‘methods agnostic’, combining M/EEG, neurophysiology, MRI/DTI, non-invasive brain stimulation, and behavioral kinematics depending on the research question. We are also interested in longitudinal, developmental studies which can provide a stronger test of hypotheses than correlation-based analyses of measures made at a single time point.


Selected Papers
  • 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:
  • 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
  • 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
  • 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

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