Publications
FineKyber: a large-scale fNIRS dataset for self-supervised representation learning
Johann Benerradi and Borja Blanco
Hugging Face, 2026 (url ⋅ dataset)
Functional specialisation across the first five years of life: a longitudinal characterisation of social perception with fNIRS
Johann Benerradi, Chiara Bulgarelli, Ebrima Mbye, Borja Blanco, Ebou Touray, Sam McCann, Bosiljka Milosavljevic, Sophie E Moore, Clare E Elwell, Anna Blasi and Sarah Lloyd-Fox
Imaging Neuroscience, 2026 (url ⋅ paper ⋅ code)
Effect of sleep stage on patterns of fNIRS hemodynamic response to auditory paradigms in 1-month-old Gambian and UK infants
Maria Rozhko, Merel van der Straaten, Borja Blanco, Isobel Greenhalgh, Johann Benerradi, Sophie E Moore, Clare E Elwell, Sarah Lloyd-Fox and Anna Blasi
Neurophotonics, 2026 (url ⋅ paper)
Jess+: designing embodied AI for interactive music-making
Craig Vear and Johann Benerradi
arXiv, 2024 (url ⋅ paper ⋅ code)
Workload BCI: software for real-time fNIRS and EEG experiments
Johann Benerradi
Zenodo, 2024 (url ⋅ code)
Exploring the impact of verbal-imagery cognitive style on web search behaviour and mental workload
Huimin Tang, Johann Benerradi, Horia A Maior, Matthew Pike, Aleksandra Landowska and Max L Wilson
CHIIR, 2024 (url ⋅ paper)
Jess+: AI and robotics with inclusive music-making
Craig Vear, Adrian Hazzard, Solomiya Moroz and Johann Benerradi
CHI, 2024 (url ⋅ paper)
Building an embodied musicking dataset for co-creative music-making
Craig Vear, Fabrizio Poltronieri, Balandino Didonato, Yawen Zhang, Johann Benerradi, Simon Hutchinson, Paul Turowski, Jethro Shell and Hossein Malekmohamadi
EvoMUSART, 2024 (url ⋅ paper ⋅ data ⋅ code)
A benchmarking framework for improving machine learning with fNIRS neuroimaging data
Johann Benerradi, supervised by Max L Wilson, Michel F Valstar and Jeremie Clos
Nottingham eTheses, 2024 (url ⋅ PhD thesis ⋅ code)
Benchmarking framework for machine learning classification from fNIRS data
Johann Benerradi, Jeremie Clos, Aleksandra Landowska, Michel F Valstar and Max L Wilson
Frontiers in Neuroergonomics, 2023 (url ⋅ paper ⋅ poster ⋅ code)
Understanding the ethical concerns for neurotechnology in the future of work
Wendy Martinez, Johann Benerradi, Serena Midha, Horia A Maior and Max L Wilson
CHIWORK, 2022 (url ⋅ paper)
Rank-1 CNN for mental workload classification from EEG
Sara Sedlar, Johann Benerradi, Côme Le Breton, Rachid Deriche, Théodore Papadopoulo and Max L Wilson
NEC, 2021 (url ⋅ abstract ⋅ poster)
Benchmarking framework for machine learning with fNIRS
Johann Benerradi, Jeremie Clos, Aleksandra Landowska, Michel F Valstar and Max L Wilson
NEC, 2021 (url ⋅ abstract ⋅ presentation)
Exploring machine learning approaches for classifying mental workload using fNIRS data from HCI tasks
Johann Benerradi, Horia A Maior, Adrian Marinescu, Jeremie Clos and Max L Wilson
Halfway to the Future, 2019 (url ⋅ paper ⋅ poster ⋅ code)
Mesure de l’attention auditive par électroencéphalographie (Measuring auditory attention with electroencephalography)
Johann Benerradi, supervised by Maureen Clerc
Archive Ouverte HAL, 2019 (url ⋅ MSc thesis)
Decomposition of the Lambda-wave using EEG and eye-tracking data coregistration
Johann Benerradi, Victor Maurandi, Ronald Phlypo, Bertrand Rivet and Anne Guerin-Dugue
Grenoble Workshop on Models and Analysis of Eye Movements, 2018 (url ⋅ abstract ⋅ poster)