main goal for this year: find a new job! 🙂 looking for a role with fun & complex technical challenges & within a great community. my main expertise is in signal processing/EEG/MEG, but topic-wise I am quite flexible. science/industry both great! starting mid-year. nschawor.github.io/cv

If you analyse time-resolved data (M/EEG, iEEG, pupillometry, force recordings…) and feel limited by cluster-based permutation tests (CBPTs); especially when trying to determine when an effect starts or ends; you may want to try our new R package: lnalborczyk.github.io/neurogam/ #rstats #brms #EEG

Modelling time-resolved electrophysiological data with Bayesian generalised additive multilevel models

Providing utility functions for fitting Bayesian generalised additive multilevel models (BGAMMs) to time-resolved data (e.g., M/EEG, pupillometry, mouse-tracking, etc) and identifying clusters.

lnalborczyk.github.io

Slow waves during sleep are fundamental for neural homeostasis and are impaired in neurodegenerative diseases. But what about sleep-like slow waves during wakefulness? Are these slow waves altered in Parkinson's disease? Are these slow waves uncovering psychosis?

Sleep-like slow waves during wakefulness uncover a malignant form of Parkinson’s disease

Slow waves during sleep are fundamental for neural homeostasis, metabolic regulation, and waste clearance, and are known to be altered in neurodegenerative diseases. Sleep-like slow waves (SLSW) have ...

medrxiv.org

After five years of confused staring at Greek letters, it is my absolute pleasure to finally share our (with @smfleming.bsky.social) computational model of mental imagery and reality monitoring: Perceptual Reality Monitoring as Higher-Order inference on Sensory Precision ✨ osf.io/preprints/ps...

We are hiring! We have open PhD and postdoc positions in Bern. Join us to study sleep/wake circuits, and/or auditory functions with iEEG/EEG #iEEG #Neurojobs Postdoc: neuro.inf.unibe.ch/menu/announc... PhD: neuro.inf.unibe.ch/menu/announc...