Scoping Meeting: Computation, Modelling, and Statistical Analysis of Physiological and Clinical Brain Signals for Real-Time Classification and Prediction
Isaac Newton Institute, Cambridge, UK, December 1–4, 2025
Shaping the future of real-time physiological and brain signal analysis — from mathematical models to bedside applications
This meeting will bring together mathematicians, statisticians, computational neuroscientists, and clinicians to chart the future of quantitative brain and physiological signal analysis. The focus is on developing computational and statistical frameworks for real-time processing of brain data that are accurate, reliable, and clinically interpretable.
Topics will span a wide range of signals, including EEG, Neuropixels, calcium imaging, LFPs, and haemodynamic measures, and methodologies from mechanistic modelling to machine learning and multimodal integration. The ultimate goal is to build a shared roadmap for frameworks that bridge theoretical advances with clinical practice to improve patient outcomes.
Early Career Researchers (ECRs, including postdoctoral and PhD students) are especially encouraged to present posters. Limited financial assistance is available to support participation. Applicants should submit a one-page document to kn356@exeter.ac.uk by 16 October, including:
- The topic of the poster presentation
- Its relevance to the meeting themes
- What they hope to gain from attending
- A brief breakdown of estimated attendance costs
Further details about the meeting can be found here
Confirmed Speakers
- Ravi Poorun (University of Exeter)
- Jean-Marc Lina (École de Technologie Supérieure)
- Anne Skeldon (University of Surrey)
- Daniele Avitabile (Vrije Universiteit Amsterdam)
- Francesco Tamagnini (University of Reading)
- Leonid Savchenko (UCL)
- Marc Goodfellow (University of Exeter)
- Peter Challenor (University of Exeter)
- Eder Zavala (University of Birmingham)
- David Holcman (École Normale Supérieure)
- Paul Bogdan (University of Southern California)