Training
The learning curve for BCI technology, AI for neural data, EEG methods, and clinical neurotechnology is steep, and existing resources are either too theoretical or too superficial. Teaching from direct experience with real systems and real clinical end-user populations.
Book a TrainingAvailable Topics
Brain-Computer Interfaces: State of the Art and Clinical Reality
Overview of current BCI technology — what works, what doesn't, and where the field is heading. Includes live demonstrations when possible. Suitable for technical and non-technical audiences.
Closed-Loop Neurotechnology for Rehabilitation
How brain-controlled rehabilitation systems work, clinical evidence for their effectiveness, and practical challenges of implementation. Aimed at clinicians, engineers, and healthcare innovators.
EEG Signal Processing: From Raw Data to Results
Hands-on workshop covering the complete EEG analysis pipeline. Best as a half-day or full-day format with practical exercises. Aimed at researchers and engineers.
Machine Learning for Neural Data
Practical approaches to classifying brain signals, with emphasis on clinical datasets (small, noisy, heterogeneous). Covers feature selection, cross-validation strategies, and common pitfalls.
Neurotechnology Ethics and Regulation
The emerging landscape of neurorights, data privacy for brain data, and regulatory frameworks for neurotechnology devices.