Laura M. Haetzel

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 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 pre-existing visual responses in dopamine terminals predict individual learning trajectories in mice during a visual task.

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

The paper compares cortical and thalamic inputs to the nucleus accumbens in mice during a reinforcement learning task, finding that cortical inputs represent actions and choices while thalamic inputs represent cues, with cortical sequences supporting reinforcement learning.

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.