The future of rodent models in depression research

A Gururajan, A Reif, JF Cryan, DA Slattery - Nature Reviews …, 2019 - nature.com
Currently, over 300 million people worldwide have depression, and the socioeconomic
burden of this debilitating disorder is anticipated to increase markedly over the coming …

Open-source tools for behavioral video analysis: Setup, methods, and best practices

K Luxem, JJ Sun, SP Bradley, K Krishnan, E Yttri… - Elife, 2023 - elifesciences.org
Recently developed methods for video analysis, especially models for pose estimation and
behavior classification, are transforming behavioral quantification to be more precise …

[HTML][HTML] Chaperone-mediated autophagy prevents collapse of the neuronal metastable proteome

M Bourdenx, A Martín-Segura, A Scrivo… - Cell, 2021 - cell.com
Components of the proteostasis network malfunction in aging, and reduced protein quality
control in neurons has been proposed to promote neurodegeneration. Here, we investigate …

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 …

DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels

JP Bohnslav, NK Wimalasena, KJ Clausing, YY Dai… - Elife, 2021 - elifesciences.org
Videos of animal behavior are used to quantify researcher-defined behaviors of interest to
study neural function, gene mutations, and pharmacological therapies. Behaviors of interest …

Breakdown of spatial coding and interneuron synchronization in epileptic mice

T Shuman, D Aharoni, DJ Cai, CR Lee, S Chavlis… - Nature …, 2020 - nature.com
Temporal lobe epilepsy causes severe cognitive deficits, but the circuit mechanisms remain
unknown. Interneuron death and reorganization during epileptogenesis may disrupt the …

AmadeusGPT: a natural language interface for interactive animal behavioral analysis

S Ye, J Lauer, M Zhou, A Mathis… - Advances in neural …, 2024 - proceedings.neurips.cc
The process of quantifying and analyzing animal behavior involves translating the naturally
occurring descriptive language of their actions into machine-readable code. Yet, codifying …

CowXNet: An automated cow estrus detection system

T Lodkaew, K Pasupa, CK Loo - Expert Systems with Applications, 2023 - Elsevier
Estrus detection is essential for dairy farms to take cows for artificial insemination promptly.
Conventional approaches for detecting estrus cows use electronic devices attached to cows …

BehaviorDEPOT is a simple, flexible tool for automated behavioral detection based on markerless pose tracking

CJ Gabriel, Z Zeidler, B Jin, C Guo, CM Goodpaster… - Elife, 2022 - elifesciences.org
Quantitative descriptions of animal behavior are essential to study the neural substrates of
cognitive and emotional processes. Analyses of naturalistic behaviors are often performed …

Going deeper than tracking: A survey of computer-vision based recognition of animal pain and emotions

S Broomé, M Feighelstein, A Zamansky… - International Journal of …, 2023 - Springer
Advances in animal motion tracking and pose recognition have been a game changer in the
study of animal behavior. Recently, an increasing number of works go 'deeper'than tracking …