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 …

Big behavioral data: psychology, ethology and the foundations of neuroscience

A Gomez-Marin, JJ Paton, AR Kampff, RM Costa… - Nature …, 2014 - nature.com
Behavior is a unifying organismal process where genes, neural function, anatomy and
environment converge and interrelate. Here we review the current state and discuss the …

[HTML][HTML] Assessing mouse behaviour throughout the light/dark cycle using automated in-cage analysis tools

RS Bains, S Wells, RR Sillito, JD Armstrong… - Journal of neuroscience …, 2018 - Elsevier
An important factor in reducing variability in mouse test outcomes has been to develop
assays that can be used for continuous automated home cage assessment. Our experience …

Automated long-term tracking and social behavioural phenotyping of animal colonies within a semi-natural environment

A Weissbrod, A Shapiro, G Vasserman, L Edry… - Nature …, 2013 - nature.com
Social behaviour has a key role in animal survival across species, ranging from insects to
primates and humans. However, the biological mechanisms driving natural interactions …

Flexible auditory training, psychophysics, and enrichment of common marmosets with an automated, touchscreen-based system

A Calapai, J Cabrera-Moreno, T Moser… - Nature …, 2022 - nature.com
Devising new and more efficient protocols to analyze the phenotypes of non-human
primates, as well as their complex nervous systems, is rapidly becoming of paramount …

Social interactions impact on the dopaminergic system and drive individuality

N Torquet, F Marti, C Campart, S Tolu… - Nature …, 2018 - nature.com
Individuality is a striking feature of animal behavior. Individual animals differ in traits and
preferences which shape their interactions and their prospects for survival. However, the …

Rage Against the Machine: Advancing the study of aggression ethology via machine learning.

NL Goodwin, SRO Nilsson, SA Golden - Psychopharmacology, 2020 - Springer
Rationale Aggression, comorbid with neuropsychiatric disorders, exhibits with diverse
clinical presentations and places a significant burden on patients, caregivers, and society …

A fully automated high-throughput training system for rodents

R Poddar, R Kawai, BP Ölveczky - PloS one, 2013 - journals.plos.org
Addressing the neural mechanisms underlying complex learned behaviors requires training
animals in well-controlled tasks, an often time-consuming and labor-intensive process that …

Automatic visual tracking and social behaviour analysis with multiple mice

L Giancardo, D Sona, H Huang, S Sannino, F Managò… - PloS one, 2013 - journals.plos.org
Social interactions are made of complex behavioural actions that might be found in all
mammalians, including humans and rodents. Recently, mouse models are increasingly …

Fully automated head-twitch detection system for the study of 5-HT2A receptor pharmacology in vivo

M de la Fuente Revenga, JM Shin, HZ Vohra… - Scientific reports, 2019 - nature.com
Head-twitch behavior (HTR) is the behavioral signature of psychedelic drugs upon
stimulation of the serotonin 5-HT2A receptor (5-HT2AR) in rodents. Following the previous …