Quantifying behavior to understand the brain

TD Pereira, JW Shaevitz, M Murthy - Nature neuroscience, 2020 - nature.com
Over the past years, numerous methods have emerged to automate the quantification of
animal behavior at a resolution not previously imaginable. This has opened up a new field of …

Deep learning tools for the measurement of animal behavior in neuroscience

MW Mathis, A Mathis - Current opinion in neurobiology, 2020 - Elsevier
Highlights•Deep neural networks are shattering performance benchmarks in computer
vision for various tasks.•Using modern deep learning approaches (DNNs) in the lab is a …

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 …

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 …

A paradigm shift in translational psychiatry through rodent neuroethology

Y Shemesh, A Chen - Molecular psychiatry, 2023 - nature.com
Mental disorders are a significant cause of disability worldwide. They profoundly affect
individuals' well-being and impose a substantial financial burden on societies and …

The Mouse Action Recognition System (MARS) software pipeline for automated analysis of social behaviors in mice

C Segalin, J Williams, T Karigo, M Hui, M Zelikowsky… - Elife, 2021 - elifesciences.org
The study of naturalistic social behavior requires quantification of animals' interactions. This
is generally done through manual annotation—a highly time-consuming and tedious …

Neural circuit mechanisms of social behavior

P Chen, W Hong - Neuron, 2018 - cell.com
We live in a world that is largely socially constructed, and we are constantly involved in and
fundamentally influenced by a broad array of complex social interactions. Social behaviors …

Background subtraction in real applications: Challenges, current models and future directions

B Garcia-Garcia, T Bouwmans, AJR Silva - Computer Science Review, 2020 - Elsevier
Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …

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 …

Deep learning-based behavioral analysis reaches human accuracy and is capable of outperforming commercial solutions

O Sturman, L von Ziegler, C Schläppi, F Akyol… - …, 2020 - nature.com
To study brain function, preclinical research heavily relies on animal monitoring and the
subsequent analyses of behavior. Commercial platforms have enabled semi high …