Large-scale neural recordings call for new insights to link brain and behavior

AE Urai, B Doiron, AM Leifer, AK Churchland - Nature neuroscience, 2022 - nature.com
Neuroscientists today can measure activity from more neurons than ever before, and are
facing the challenge of connecting these brain-wide neural recordings to computation and …

Computational neuroethology: a call to action

SR Datta, DJ Anderson, K Branson, P Perona, A Leifer - Neuron, 2019 - cell.com
The brain is worthy of study because it is in charge of behavior. A flurry of recent technical
advances in measuring and quantifying naturalistic behaviors provide an important …

DeepLabCut: markerless pose estimation of user-defined body parts with deep learning

A Mathis, P Mamidanna, KM Cury, T Abe… - Nature …, 2018 - nature.com
Quantifying behavior is crucial for many applications in neuroscience. Videography provides
easy methods for the observation and recording of animal behavior in diverse settings, yet …

Spontaneous behaviors drive multidimensional, brainwide activity

C Stringer, M Pachitariu, N Steinmetz, CB Reddy… - Science, 2019 - science.org
INTRODUCTION In the absence of sensory inputs, the brain produces structured patterns of
activity, which can be as large as or larger than sensory-driven activity. Ongoing activity …

Geometric deep learning enables 3D kinematic profiling across species and environments

TW Dunn, JD Marshall, KS Severson, DE Aldarondo… - Nature …, 2021 - nature.com
Comprehensive descriptions of animal behavior require precise three-dimensional (3D)
measurements of whole-body movements. Although two-dimensional approaches can track …

Fast animal pose estimation using deep neural networks

TD Pereira, DE Aldarondo, L Willmore, M Kislin… - Nature …, 2019 - nature.com
The need for automated and efficient systems for tracking full animal pose has increased
with the complexity of behavioral data and analyses. Here we introduce LEAP (LEAP …

[HTML][HTML] Anipose: A toolkit for robust markerless 3D pose estimation

P Karashchuk, KL Rupp, ES Dickinson, S Walling-Bell… - Cell reports, 2021 - cell.com
Quantifying movement is critical for understanding animal behavior. Advances in computer
vision now enable markerless tracking from 2D video, but most animals move in 3D. Here …

Simple Behavioral Analysis (SimBA)–an open source toolkit for computer classification of complex social behaviors in experimental animals

SRO Nilsson, NL Goodwin, JJ Choong, S Hwang… - BioRxiv, 2020 - biorxiv.org
Aberrant social behavior is a core feature of many neuropsychiatric disorders, yet the study
of complex social behavior in freely moving rodents is relatively infrequently incorporated …

Midbrain circuits that set locomotor speed and gait selection

V Caggiano, R Leiras, H Goni-Erro, D Masini… - Nature, 2018 - nature.com
Locomotion is a fundamental motor function common to the animal kingdom. It is
implemented episodically and adapted to behavioural needs, including exploration, which …

Prediction signals in the cerebellum: beyond supervised motor learning

C Hull - elife, 2020 - elifesciences.org
While classical views of cerebellar learning have suggested that this structure predominantly
operates according to an error-based supervised learning rule to refine movements …