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 …

Unsupervised quantification of naturalistic animal behaviors for gaining insight into the brain

MH McCullough, GJ Goodhill - Current Opinion in Neurobiology, 2021 - Elsevier
Neural computation has evolved to optimize the behaviors that enable our survival. Although
much previous work in neuroscience has focused on constrained task behaviors, recent …

[HTML][HTML] Fast and accurate annotation of acoustic signals with deep neural networks

E Steinfath, A Palacios-Muñoz, JR Rottschäfer… - Elife, 2021 - elifesciences.org
Acoustic signals serve communication within and across species throughout the animal
kingdom. Studying the genetics, evolution, and neurobiology of acoustic communication …

[HTML][HTML] Toward a computational neuroethology of vocal communication: from bioacoustics to neurophysiology, emerging tools and future directions

T Sainburg, TQ Gentner - Frontiers in Behavioral Neuroscience, 2021 - frontiersin.org
Recently developed methods in computational neuroethology have enabled increasingly
detailed and comprehensive quantification of animal movements and behavioral kinematics …

[HTML][HTML] The impacts of fine-tuning, phylogenetic distance, and sample size on big-data bioacoustics

KL Provost, J Yang, BC Carstens - Plos one, 2022 - journals.plos.org
Vocalizations in animals, particularly birds, are critically important behaviors that influence
their reproductive fitness. While recordings of bioacoustic data have been captured and …

Rookognise: Acoustic detection and identification of individual rooks in field recordings using multi-task neural networks

K Martin, O Adam, N Obin, V Dufour - Ecological Informatics, 2022 - Elsevier
Individual-level monitoring is essential in many behavioural and bioacoustics studies.
Collecting and annotating those data is costly in terms of human effort, but necessary prior to …

TinyBird-ML: An ultra-low Power Smart Sensor Node for Bird Vocalization Analysis and Syllable Classification

L Schulthess, S Marty, M Dirodi… - … on Circuits and …, 2023 - ieeexplore.ieee.org
Animal vocalisations serve a wide range of vital functions. Although it is possible to record
animal vocalisations with external microphones, more insights are gained from miniature …

Decoding communication of non-human species-Unsupervised machine learning to infer syntactical and temporal patterns in fruit-bats vocalizations.

L Assom - 2023 - diva-portal.org
Decoding non-human species communication offers a unique chance to explore alternative
intelligence forms using machine learning. This master thesis focuses on discreteness and …

基于音节聚类分析的被动声学监测技术及其在鸟类监测中的应用

吴科毅, 阮文达, 周棣锋, 陈庆春, 张承云… - 生物多样 …, 2023 - biodiversity-science.net
被动声学监测通过分析鸟鸣声信息来实现物种识别, 为鸟类多样性监测提供了一种切实可行的
技术方案. 由于鸟种的鸣声复杂多变, 如何通过声纹快速准确辨别物种, 分析鸟类丰度 …

[图书][B] Investigating the drivers of genetic variation of Neotropical lizards

EM da Fonseca - 2022 - search.proquest.com
This dissertation aims to understand how geographic distance, landscape features, and
climate have influenced the distribution of genetic variation in Neotropical lizards distributed …