Search bioRxiv⌕ Search

Biology subjects

Pan Vazquez, A.

Publications and source records attributed to Pan Vazquez, A..

2 recordsLinked to original sources

Pre-existing visual responses in a projection-defined dopamine population explain individual learning trajectories

Learning a new task is challenging because the world is high dimensional, with only a subset of features being reward-relevant. What neural mechanisms contribute to initial task acquisition, and why do some individuals learn a new task much more quickly than others? To address these questions, we recorded longitudinally from dopamine (DA) axon terminals in mice learning a visual task. Across striatum, DA responses tracked idiosyncratic and side-specific learning trajectories. However, even before any rewards were delivered, contralateral-side-specific visual responses were present in DA terminals only in the dorsomedial striatum (DMS). These pre-existing responses predicted the extent of learning for contralateral stimuli. Moreover, activation of these terminals improved contralateral performance. Thus, the initial conditions of a projection-specific and feature-specific DA signal help explain individual learning trajectories. More broadly, this work implies that functional heterogeneity across DA projections serves to bias target regions towards learning about different subsets of task features, providing a mechanism to address the dimensionality of the initial task learning problem.

neuroscience↗

A standardized and reproducible method to measure decision-making in mice

Progress in science requires standardized assays whose results can be readily shared, compared, and reproduced across laboratories. Reproducibility, however, has been a concern in neuroscience, particularly for measurements of mouse behavior. Here we show that a standardized task to probe decision-making in mice produces reproducible results across multiple laboratories. We designed a task for head-fixed mice that combines established assays of perceptual and value-based decision making, and we standardized training protocol and experimental hardware, software, and procedures. We trained 140 mice across seven laboratories in three countries, and we collected 5 million mouse choices into a publicly available database. Learning speed was variable across mice and laboratories, but once training was complete there were no significant differences in behavior across laboratories. Mice in different laboratories adopted similar reliance on visual stimuli, on past successes and failures, and on estimates of stimulus prior probability to guide their choices. These results reveal that a complex mouse behavior can be successfully reproduced across multiple laboratories. They establish a standard for reproducible rodent behavior, and provide an unprecedented dataset and open-access tools to study decision-making in mice. More generally, they indicate a path towards achieving reproducibility in neuroscience through collaborative open-science approaches.

neuroscience↗