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 …

[HTML][HTML] Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires

T Sainburg, M Thielk, TQ Gentner - PLoS computational biology, 2020 - journals.plos.org
Animals produce vocalizations that range in complexity from a single repeated call to
hundreds of unique vocal elements patterned in sequences unfolding over hours …

The potential for acoustic individual identification in mammals

P Linhart, M Mahamoud-Issa, D Stowell… - Mammalian Biology, 2022 - Springer
Many studies have revealed that animal vocalizations, including those from mammals, are
individually distinctive. Therefore, acoustic identification of individuals (AIID) has been …

An open source, wireless capable miniature microscope system

WA Liberti, LN Perkins, DP Leman… - Journal of neural …, 2017 - iopscience.iop.org
Objective. Fluorescence imaging through head-mounted microscopes in freely behaving
animals is becoming a standard method to study neural circuit function. Flexible, open …

Latent space visualization, characterization, and generation of diverse vocal communication signals

T Sainburg, M Thielk, TQ Gentner - BioRxiv, 2019 - biorxiv.org
Animals produce vocalizations that range in complexity from a single repeated call to
hundreds of unique vocal elements patterned in sequences unfolding over hours …

[HTML][HTML] A system for controlling vocal communication networks

J Rychen, DI Rodrigues, T Tomka, L Rüttimann… - Scientific Reports, 2021 - nature.com
Animal vocalizations serve a wide range of functions including territorial defense, courtship,
social cohesion, begging, and vocal learning. Whereas many insights have been gained …

TweetyNet: a neural network that enables high-throughput, automated annotation of birdsong

Y Cohen, D Nicholson, A Sanchioni, EK Mallaber… - BioRxiv, 2020 - biorxiv.org
Songbirds provide an excellent model system for understanding sensorimotor learning.
Many analyses of learning require annotating song, but songbirds produce more songs than …

Birdsong phrase verification and classification using siamese neural networks

S Rentería, EE Vallejo, CE Taylor - bioRxiv, 2021 - biorxiv.org
The process of learning good features to discriminate among numerous and different bird
phrases is computationally expensive. Moreover, it might be impossible to achieve …

[PDF][PDF] Neural control of vocal behavior in songbirds in different social contexts

A Lemazina - 2023 - edoc.ub.uni-muenchen.de
Neural control of vocal behavior in songbirds in different social contexts Page 1 NEURAL
CONTROL OF VOCAL BEHAVIOR IN SONGBIRDS IN DIFFERENT SOCIAL CONTEXTS …

Towards automated quantification of vocal communication during social behaviors in songbirds

T Tomka - 2023 - research-collection.ethz.ch
Vocalizations are produced by highly specialized motor gestures and regulate social
interactions in many species. Vocal learners, such as songbirds or humans, acquire their …