Michael M. Schartner

This study examines age-related changes in neural and behavioural variability during a decision-making task in mice, finding increased neural variability and reduced variability quenching in specific brain regions.

The paper identifies how prior expectations modulate brain activity during decision-making and shows that a few-parameter model captures these dynamics across the brain.

Mice infer stimulus-side priors from recent choices; prior signals are decodable pre-stimulus in 24.0% to 30.2% of 242 brain regions, including early visual and motor areas.

The paper presents a brain-wide neural activity map from 621,733 neurons across 139 mice performing a decision-making task, showing how neural activity encodes task variables across brain regions.

The paper presents a dynamical map of brain-wide computation in mice, revealing broadcast sequences and non-random selectivity at the single neuron level.

The paper shows that mice with ASD-related mutations exhibit similar computational and neural anomalies in prior updating during decision-making.

This study evaluates the reproducibility of electrophysiological measurements across ten labs using standardized protocols and finds that variability in electrode targeting and statistical methods affects reproducibility.

The paper introduces two public websites for exploring large-scale electrophysiology data from the International Brain Laboratory, enabling cross-platform access to behavioral trials and neuronal data.

The paper describes a modular data architecture for a neuroscience collaboration, enabling data contribution, access, and analysis across multiple labs.

This paper introduces a video analysis tool that combines supervised pose estimation with unsupervised dimensionality reduction to extract interpretable behavioral features from animal videos, improving downstream analyses.

This study examines how IV DMT affects EEG brain activity, finding reduced alpha/beta power and increased signal diversity, with delta/theta activity correlating with peak subjective experience.

This study investigates EEG signal diversity during stroboscopically-induced altered states of consciousness and finds increased diversity compared to wakeful rest, aligning with psychedelic state findings.