Nathaniel J Miska

TL;DR: In this article, the authors designed a task for head-fixed mice that combines established assays of perceptual and value-based decision making, and standardized training protocol and experimental hardware, software, and procedures.

TL;DR: In this article, a task for head-fixed mice that assays perceptual and value-based decision making was adopted, and the training protocol and experimental hardware, software, and procedures were standardized.

TL;DR: It is shown that a standardized task to probe decision-making in mice produces reproducible results across multiple laboratories, and this work establishes a standard for reproducible rodent behavior and indicates a path towards achieving reproducibility in neuroscience through collaborative open-science approaches.

TL;DR: In this paper, a new video analysis tool that combines the output of supervised pose estimation algorithms (e.g. DeepLabCut) with unsupervised dimensionality reduction methods to produce interpretable, low-dimensional representations of behavioral videos that extract more information than pose estimates alone.