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.

I am a master’s student in the Decision, Action, and Neural Computation (DANC) lab. Working on  laminar MEG simulations across cortical layers, I employ the Empirical Bayes Beamformer algorithm and laminar forward models to derive accurate CSD profiles, enabling precise brain source reconstruction and in-depth analysis of neural dynamics across cortical layers. Prior to this, I worked with Dr. Krishna Prasad Miyapuram at IIT Gandhinagar on decoding music preferences from EEG signals using phase-amplitude coupling and broadcast and receive centralities. In my free time, I enjoy reading, gardening and cycling.

Ludovic Darmet started a postdoc in March 2024, collaborating under the joint mentorship of James Bonaiuto at the Decision, Action, and Neural Computation (DANC) lab—affiliated with the Institut des Sciences Cognitives Marc Jeannerod in Lyon—and Jérémie Mattout at the Computation, Cognition, and Neurophysiology (COPHY) lab, a part of the Lyon Neuroscience Research Center. He obtained an engineering degree from Ecole Centrale de Lille in 2017, specializing in Data Science and AI. Subsequently, he pursued his doctoral studies at GIPSA-lab, and obtained his PhD in December 2020. His research, supervised by Kai Wang and François Cayre, focused on image manipulation detection, namely image forensics. This work was funded by an ANR-DGA project overseen by Patrick Bas.

In March 2021, Ludovic transitioned to the Neuro-Ergonomics and Human-Factors department at ISAE-Supaero, where he undertook a two-year postdoctoral position. Working within the team of Frédéric Dehais, he worked on reactive Brain-Computer Interface (BCI) applications utilizing Visually Evoked Potentials and passive BCI technologies.

Currently, his primary focus lies in the implementation of an online, real-time pipeline for a Motor Imagery-based BCI, utilizing beta bursts.

Solène Gailhard is a Neurosciences Master's student in the Decision, Action and Neural Computation (DANC) lab. She graduated with a Bachelor's degree in Biology from the Université Grenoble Alpes in 2023. During her internship, she works on isolating alpha-harmonics from genuine motor cortical beta bursts of EEG and MEG data.

Marine Gautier—Martins has been working as an assistant engineer since September 2021, under the supervision of Dr. James Bonaiuto at the Decision, Action, and Neural Computation (DANC) lab, at the Institut des Sciences Cognitives (ISC) Marc Jeannerod in Lyon. She graduated with a master’s degree in Basic and Clinical Neurosciences in 2021. As part of her master’s degree, she was involved in a project focusing on non-human primates’ socio-cognitive and emotional development in the Social Neuroscience and comparative Development Laboratory under the direction of Dr. Pier Francesco Ferrari. She is now involved in a new project aimed at a better mechanistic understanding of motor-related beta activity in children and infants.

Benjamin Hautcoeur is a Master’s student in the Decision, Action and Neural Computation (DANC) lab of James Bonaiuto, where he is using eye tracking, EEG, and behavioral observations to investigate the neurocognitive mechanisms involved in early brain development socioemotional function, aiming to better understand affect biased attention during early development.

Valentine Lécuyer has been working as an assistant engineer since March 2023 under the supervision of Dr. James Bonaiuto at the Decision, Action, and Neural Computation (DANC) lab. She graduated with a master’s degree in Research in Psychology in 2022. As part of her master’s degree, she worked on 2 projects at the Laboratoire de Psychologie et NeuroCognition (LPNC) at Grenoble. One focused on link between faces recognition and language familiarity in infants, and other on links between egocentric representation and verticality perception in adults. She is now involved in a project aimed at determining the effects of early social experience on the development of affect-biased attention in infants.

Quentin Moreau is a postdoctoral researcher working under the supervision of Dr James Bonaiuto at the Decision, Action, and Neural Computation (DANC) lab, part of Institut des Sciences Cognitives Marc Jeannerod in Lyon. He obtained a PhD in Social Neuroscience at the Sapienza University of Rome, under the supervision of Prof. Salvatore Maria Aglioti and Prof. Matteo Candidi. During his thesis and his first postdoc at the Fondazione Santa Lucia in Rome, he studied the EEG markers of motor interactions and social perception. He then went on to work on computational social physiology and neuromodulation under the supervision of Dr. Guillaume Dumas at the Precision Psychiatry and Social Physiology (PPSP) lab in Montréal. Currently, his research is centered on projects investigating the oscillatory mechanisms governing sensorimotor processes using MEG.

Océane Page is a master’s student in the Decision, Action, and Neural Comptation (DANC) lab. She obtained a bachelor’s degree in physiology and she is currently completing a master’s degree in Basic and Clinical Neurosciences at the University Lyon 1 Claude Bernard. In the DANC team she investigates the relationship between early brain development and socioemotional functionning, focusing on the effects of early social experience on the development of affect-biased attention. She previously worked on the correlation between early and late literacy and numeracy skills and studied the neural responses to digits and letters in children in the EDUWELL team at Lyon Neuroscience Research Center (CRNL).

Sotirios Papadopoulos is a doctoral student at Université Claude Bernard Lyon 1 since October 2021, working under the co-supervision of Dr. Jérémie Mattout, head of the Computation, Cogntion and Neurophysiology (COPHY) team at Lyon Neuroscience Research Center (CRNL), and Dr. James Bonaiuto, head of the Decision, Action and Neural Computation (DANC) lab, at the Institut des Sciences Cognitives (ISC) Marc Jeannerod in Lyon. He obtained his M.D. from the University  of Thessaly in 2016. Next, he fullfiled part of his residency training in Neurology at “Tzaneio”  General Hospital of Piraeus (2017-2018). He obtained his M.Sc. from the University of Crete in 2020, focusing mainly on computational neuroscience, and pursuing a thesis pertaining to novel non-linear dendritic integration properties and their implications for logical operations  implementation under the supervision of Dr. Panayiota Poirazi at Poirazi Lab. His ongoing project  involves real-time analysis of motor-related burst activity at a single trial level using MEG and  EEG, aimed at providing robust features for brain-controlled assistive devices for neurologic rehabilitation.

Holly Rayson is currently a postdoctoral researcher in the lab of James Bonaiuto, where she is using eye tracking, EEG, MRI, and behavioural observation to investigate the relationship between early brain development and both soicoemotional and sensorimotor functioning. Her recent work was supported by a Marie Curie Fellowship, and focused on the longitudinal effects of early social experience on anxiety and structural brain connectivity. Before this she worked with Helen Dodd at the University of Reading using EEG and eye tracking to investigate precursors of anxiety in preschool children. She completed her PhD in 2017 with Lynne Murray at the University of Reading, which focused on how early mother-infant interactions influence infant neural responses to others’ facial expressions and gaze.

Maciej Szul has been a postdoc since January 2021, working under the supervision of Dr James Bonaiuto at the Decision, Action, and Neural Computation (DANC) lab, part of Institut des Sciences Cognitives Marc Jeannerod in Lyon. He obtained PsyM from the Jagiellonian University, specializing in neuroscience and sport science. The subject of his thesis covered fMRI resting state connectivity differences caused by the congenital deafness. He obtained his PhD from Cardiff University, working at the Cardiff University Brain Research Imaging Centre (CUBRIC) under the supervision of Dr Jiaxiang Zhang. His thesis was focused on exploring decision-making/action selection processes, combining continuous response measures, cognitive models, non-stationary perceptual evidence, and multivariate pattern analysis of magnetoencephalographic (MEG) signals. Currently, he is involved in projects exploring oscillatory mechanisms of visual and sensorimotor processes using laminar MEG.

Aléna Ternon is a master’s student in the Decision, Action and Neural Computation (DANC) lab, part of the Institute des Sciences Cognitive Marc Jeannerod in Lyon. She obtained a bachelor’s degree in physiology in the Université Claude Bernard Lyon 1 and a bachelor’s degree in biotechnology in the Technological University of the Shannon in Athlone, Ireland. In the DANC lab, she is working on the motor cortical beta burst project, aiming at exploring oscillatory mechanisms of sensorimotor processes using MEG.

Siqi Zhang has been a postdoc since June 2022, working under the supervision of Dr James Bonaiuto at the Decision, Action, and Neural Computation (DANC) lab, part of Institut des Sciences Cognitives Marc Jeannerod in Lyon. She obtained her PhD from Southeast University, specializing in biological engineering under the supervision of Dr. Qing Lu. Her thesis was ‘Temporal and spectral patterns of resting state brain networks in magnetoencephalography for depression and related clinical evaluations’. She also studied in Wellcome Centre for Human Neuroimaging, UCL for one year, under the supervision of Dr. Vladimir Litvak. Her work was about the hidden Markov model on the simultaneous iEEG-MEG dataset and the correspondence from superficial to deeper cortical layers.