Simon-Shlomo Poil
I work on a recurring problem: how to understand the state of a complex system when its most important properties are not directly visible.
My work has moved from computational neuroscience, through EEG biomarker analysis for pharmaceutical clinical trials, to production AI.
This site collects the research behind that work: essays on measurement, criticality and brain dynamics, the open-source Neurophysiological Biomarker Toolbox (NBT), and selected publications.
Research Background
Introduction to Self-Organised Criticality
A primer on self-organised criticality (SOC): how systems of many interacting parts reach, on their own, a state where disturbances occur on all scales.
Branching Processes: How Cascades Propagate
A primer on branching processes — the mechanism that determines whether activity in a connected system dies out, sustains, or explodes.
The Brain as a Critical System
An overview of the evidence that the brain operates near a critical state, and why this matters for understanding brain disorders.
Detrended Fluctuation Analysis (DFA): Tutorial
A hands-on tutorial for computing DFA on neuronal oscillations using MATLAB and the Neurophysiological Biomarker Toolbox (NBT).
Also on this site
Projects
Selected tools and systems built around measurement and reliability, including the open-source Neurophysiological Biomarker Toolbox (NBT) for EEG/MEG.
Publications
Selected academic publications in criticality, neurophysiological biomarkers, and clinical neuroinformatics.
About
Background on Simon-Shlomo Poil’s work across neuroscience, biomarker research, and production AI.