ePoster

DeepLabCut 3.0: Efficient deep learning for single and multi-animal pose tracking and identification

Niels Poulsen, Anastasiia Filipova, Shaokai Ye, Lucas Stoffl, Mu Zhou, Quentin Mace, Konrad Danielewski, Anna Teruel-Sanchis, Riza Rae Pineda, Jessy Lauer, Timokleia Kousi, Alexander Mathis, Mackenzie Weygandt Mathis

FENS Forum 2024(2024)

Messe Wien Exhibition & Congress Center, Vienna, Austria

Conference

FENS Forum 2024

Messe Wien Exhibition & Congress Center, Vienna, Austria

2024Conference site

Resources

View Poster

Authors & Affiliations

Abstract

Conference Metadata

FENS Forum 2024

2024

Messe Wien Exhibition & Congress Center, Vienna, Austria

Official conference site

Share & Engage

Need personalised conference support?

The World Wide studio can help organize hybrid poster flows, translation overlays, and branded playback pages.

Share your timeline, exhibitor mix, and dissemination goals-we'll prepare a rollout plan that preserves moderation, localisation, and accessibility standards across your conference microsite and broadcast assets.Contact the studio

DeepLabCut 3.0: Efficient deep learning for single and multi-animal pose tracking and identification

Resources

Authors & Affiliations

Abstract

Pancreatic Opioids Regulate Ingestive and Metabolic Phenotypes

The Role of GPCR Family Mrgprs in Itch, Pain, and Innate Immunity

Exploration and Exploitation in Human Joint Decisions

Analytics consent required