Literature DB >> 32994566

EthoLoop: automated closed-loop neuroethology in naturalistic environments.

Ali Nourizonoz1, Robert Zimmermann1, Chun Lum Andy Ho1, Sebastien Pellat1, Yannick Ormen1, Clément Prévost-Solié1, Gilles Reymond1, Fabien Pifferi2, Fabienne Aujard2, Anthony Herrel2, Daniel Huber3.   

Abstract

Accurate tracking and analysis of animal behavior is crucial for modern systems neuroscience. However, following freely moving animals in naturalistic, three-dimensional (3D) or nocturnal environments remains a major challenge. Here, we present EthoLoop, a framework for studying the neuroethology of freely roaming animals. Combining real-time optical tracking and behavioral analysis with remote-controlled stimulus-reward boxes, this system allows direct interactions with animals in their habitat. EthoLoop continuously provides close-up views of the tracked individuals and thus allows high-resolution behavioral analysis using deep-learning methods. The behaviors detected on the fly can be automatically reinforced either by classical conditioning or by optogenetic stimulation via wirelessly controlled portable devices. Finally, by combining 3D tracking with wireless neurophysiology we demonstrate the existence of place-cell-like activity in the hippocampus of freely moving primates. Taken together, we show that the EthoLoop framework enables interactive, well-controlled and reproducible neuroethological studies in large-field naturalistic settings.

Mesh:

Year:  2020        PMID: 32994566     DOI: 10.1038/s41592-020-0961-2

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  11 in total

1.  Systems Neuroscience of Natural Behaviors in Rodents.

Authors:  Emily Jane Dennis; Ahmed El Hady; Angie Michaiel; Ann Clemens; Dougal R Gowan Tervo; Jakob Voigts; Sandeep Robert Datta
Journal:  J Neurosci       Date:  2020-12-18       Impact factor: 6.167

Review 2.  Neural mechanisms underlying the temporal organization of naturalistic animal behavior.

Authors:  Luca Mazzucato
Journal:  Elife       Date:  2022-07-06       Impact factor: 8.713

3.  Automatic extraction of upper-limb kinematic activity using deep learning-based markerless tracking during deep brain stimulation implantation for Parkinson's disease: A proof of concept study.

Authors:  Sunderland Baker; Anand Tekriwal; Gidon Felsen; Elijah Christensen; Lisa Hirt; Steven G Ojemann; Daniel R Kramer; Drew S Kern; John A Thompson
Journal:  PLoS One       Date:  2022-10-20       Impact factor: 3.752

4.  Deep-learning based identification, tracking, pose estimation, and behavior classification of interacting primates and mice in complex environments.

Authors:  Markus Marks; Jin Qiuhan; Oliver Sturman; Lukas von Ziegler; Sepp Kollmorgen; Wolfger von der Behrens; Valerio Mante; Johannes Bohacek; Mehmet Fatih Yanik
Journal:  Nat Mach Intell       Date:  2022-04-21

5.  PyRAT: An Open-Source Python Library for Animal Behavior Analysis.

Authors:  Tulio Fernandes De Almeida; Bruno Guedes Spinelli; Ramón Hypolito Lima; Maria Carolina Gonzalez; Abner Cardoso Rodrigues
Journal:  Front Neurosci       Date:  2022-05-09       Impact factor: 5.152

Review 6.  From the field to the lab and back: neuroethology of primate social behavior.

Authors:  Camille Testard; Sébastien Tremblay; Michael Platt
Journal:  Curr Opin Neurobiol       Date:  2021-02-07       Impact factor: 7.070

Review 7.  Neural Substrates of Homing Pigeon Spatial Navigation: Results From Electrophysiology Studies.

Authors:  Gerald E Hough
Journal:  Front Psychol       Date:  2022-04-06

8.  DeepLabStream enables closed-loop behavioral experiments using deep learning-based markerless, real-time posture detection.

Authors:  Jens F Schweihoff; Matvey Loshakov; Irina Pavlova; Laura Kück; Laura A Ewell; Martin K Schwarz
Journal:  Commun Biol       Date:  2021-01-29

9.  Driving singing behaviour in songbirds using a multi-modal, multi-agent virtual environment.

Authors:  Leon Bonde Larsen; Iris Adam; Gordon J Berman; John Hallam; Coen P H Elemans
Journal:  Sci Rep       Date:  2022-08-04       Impact factor: 4.996

10.  Megapixel camera arrays enable high-resolution animal tracking in multiwell plates.

Authors:  Ida L Barlow; Luigi Feriani; Eleni Minga; Adam McDermott-Rouse; Thomas James O'Brien; Ziwei Liu; Maximilian Hofbauer; John R Stowers; Erik C Andersen; Siyu Serena Ding; André E X Brown
Journal:  Commun Biol       Date:  2022-03-23
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