Julia M. Huntenburg

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.

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

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 study examines resting state functional connectivity changes after sequence-specific motor learning, finding sequence-specific decreases in the right supplementary motor area during overall learning.

The paper identifies functional connectivity gradients in the mouse cortex that align with neocortical evolution and sensory specialization across multiple datasets.

The paper introduces a dataset linking brain functional architecture to cognitive states and personality traits through multimodal MRI and phenotypic assessments.

This study predicts brain-age from multimodal imaging data and finds it captures cognitive impairment with robustness to motion and generalizability across datasets.