
Sensor-Level EEG Residual Prediction of Temporal Reproduction Bias
Across 19,419 trials from 27 participants, behavioural context explained most timing error; within-subject EEG calibration added a small, reliable predictive improvement.
Projects
Projects are grouped by evidence type, with computational neuroscience preprints first and exploratory theoretical modelling lower on the page.

Across 19,419 trials from 27 participants, behavioural context explained most timing error; within-subject EEG calibration added a small, reliable predictive improvement.

Computational neuroscience preprint modelling human time reproduction with a Bayesian log-time state-space framework and explicit model diagnostics.

ABCD-focused developmental neuroimaging work on adolescent brain maturation, resting-state connectivity, and dimensional autism/ADHD trait co-occurrence.

Local-first research workbench for neural and biomedical time-series ingestion, explicit QC, model fitting, simulation, perturbation, provenance, and reporting.

NDMS privacy-aware multimodal neurotechnology programme tied to the PCT application, with emphasis on quality-aware multimodal inference, edge-oriented processing, and responsible-use boundaries.

Robotics hand work associated with embedded-systems prototyping and biomedical engineering practice.

Structured evidence-review system that maps supplement claims to sources, study designs, outcome relevance, source reliability, support direction, and risk of bias.

Exploratory theoretical modelling work representing spacetime as temporal layers of spatial graphs.
Theoretical manuscript direction around time perception and physical-time framing.