Applications for deep learning in ecology

S Christin, É Hervet, N Lecomte - Methods in Ecology and …, 2019 - Wiley Online Library
A lot of hype has recently been generated around deep learning, a novel group of artificial
intelligence approaches able to break accuracy records in pattern recognition. Over the …

[HTML][HTML] Fully autonomous mouse behavioral and optogenetic experiments in home-cage

Y Hao, AM Thomas, N Li - Elife, 2021 - elifesciences.org
Goal-directed behaviors involve distributed brain networks. The small size of the mouse
brain makes it amenable to manipulations of neural activity dispersed across brain areas …

[HTML][HTML] Efficient training of mice on the 5-choice serial reaction time task in an automated rodent training system

E Birtalan, A Bánhidi, JI Sanders, D Balázsfi… - Scientific Reports, 2020 - nature.com
Experiments aiming to understand sensory-motor systems, cognition and behavior
necessitate training animals to perform complex tasks. Traditional training protocols require …

[HTML][HTML] The stop signal task for measuring behavioral inhibition in mice with increased sensitivity and high-throughput operation

A Caglayan, K Stumpenhorst, Y Winter - Frontiers in Behavioral …, 2021 - frontiersin.org
Ceasing an ongoing motor response requires action cancelation. This is impaired in many
pathologies such as attention deficit disorder and schizophrenia. Action cancelation is …

[HTML][HTML] Of Mice and Mates: Automated Classification and Modelling of Mouse Behaviour in Groups Using a Single Model Across Cages

MPJ Camilleri, RS Bains, CKI Williams - International Journal of Computer …, 2024 - Springer
Behavioural experiments often happen in specialised arenas, but this may confound the
analysis. To address this issue, we provide tools to study mice in the home-cage …

[HTML][HTML] Persistent animal identification leveraging non-visual markers

MPJ Camilleri, L Zhang, RS Bains, A Zisserman… - Machine Vision and …, 2023 - Springer
Our objective is to locate and provide a unique identifier for each mouse in a cluttered home-
cage environment through time, as a precursor to automated behaviour recognition for …

[PDF][PDF] Automated identification and behaviour classification for modelling social dynamics in group-housed mice

M Camilleri - 2023 - core.ac.uk
Mice are often used in biology as exploratory models of human conditions, due to their
similar genetics and physiology. Unfortunately, research on behaviour has traditionally been …

[HTML][HTML] Training protocol for probabilistic Pavlovian conditioning in mice using an open-source head-fixed setup

P Hegedüs, A Velencei, CH de Belval, J Heckenast… - STAR protocols, 2021 - Elsevier
High throughput, temporally controlled, reproducible quantitative behavioral assays are
important for understanding the neural mechanisms underlying behavior. Here, we provide …

Rapid learning of the 5-choice serial reaction time task in an automated rodent training system

E Birtalan, A Bánhidi, JI Sanders, D Balázsfi, B Hangya - bioRxiv, 2020 - biorxiv.org
Experiments aiming to understand sensory-motor systems, cognition and behavior often
require animals trained to perform complex tasks. Traditional training protocols require lab …

[PDF][PDF] AHighly-SCALABLE AUTOMATED RODENT TRAINING PLATFORM

YH Ali - 2019 - academia.edu
A Thesis Presented to The Academic Faculty by Yahia H. Ali In Partial Fulfillment of the
Requirements for the Degree Bachelor of Page 1 AHighly-SCALABLE AUTOMATED …