Guido T. Meijer

Serotonin induces DOWN states across the anesthetized mouse forebrain

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.

Age-related changes in behavioural and neural variability in a decision-making task

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: a turnkey pipeline for processing of Neuropixel recordings

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

Brain-wide representations of prior information in mouse decision-making

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.

A Brain-Wide Map of Neural Activity during Complex Behaviour

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.

Serotonin drives choice-independent reconfiguration of distributed neural activity

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

A common computational and neural anomaly across mouse models of autism

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

Reproducibility of in-vivo electrophysiological measurements in mice

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.

Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open-source tools

Interactive data exploration websites for large-scale electrophysiology

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.

A new family of statistical tests for neuronal spiking and autocorrelated timeseries data

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.

Data architecture for a large-scale neuroscience collaboration

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

Standardized and reproducible measurement of decision-making in mice

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.