| Literature DB >> 32994566 |
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