Guido T. Meijer

This study shows serotonin induces DOWN states in the anesthetized mouse forebrain, with effects on cortex and striatum but not midbrain, using optogenetics and Neuropixel recordings.

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.

Power Pixels is a pipeline that integrates multiple steps for processing Neuropixel recordings, simplifying data analysis for users.

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.

This study shows serotonin modulates brain-wide neural activity during wakefulness but not during decision-making tasks, affecting a subspace orthogonal to choice.

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 introduces an infinite hidden semi-Markov model to analyze learning curves in mice, finding three major learning stages and behavior changes after rest periods.

The paper introduces a new family of statistical tests, ZETA-tests, designed to analyze neuronal spiking and autocorrelated time-series data with improved sensitivity and reduced false positives compared to traditional methods.

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

This paper develops a standardized task for measuring decision-making in mice, showing reproducible results across multiple laboratories and providing a public dataset and tools.