Integrating deep learning 3D tracking and biophysical EOD modeling for precise, noninvasive computational neuroethology in freely swimming weakly electric fish
Reynaldo D. Pinto, Caroline G. Forlim, Felipe O. L. da Mota, Helena Pessoni-Figueiredo, Rafael Seixas, Carlos H. M. de Aquino, Lírio O. B. de Almeida, Pablo Varona, Francisco B. Rodriguez · 2026
Read Integrating deep learning 3D tracking and biophysical EOD modeling for precise, noninvasive computational neuroethology in freely swimming weakly electric fish by Reynaldo D. Pinto, Caroline G. Forlim, Felipe O. L. da Mota, Helena Pessoni-Figueiredo, Rafael Seixas, Carlos H. M. de Aquino, Lírio O. B. de Almeida, Pablo Varona, Francisco B. Rodriguez (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13341423.txt.
Description
Tracking electric fish in three dimensions without disturbing them is the goal of a 2026 methods study by Reynaldo D. Pinto and colleagues. Weakly electric fish are nocturnal, so filming light can distort the natural behavior neuroethologists want to observe.
Working with Gymnotus carapo in a deep tank, the team combined a multi-camera setup with an electrode array around the tank. Deep learning rebuilt skeletal paths from video with accuracy near 0.8 mm per coordinate. The authors then simulated the fish's self-made electric field under three charge models and compared the output with real recordings, a first step toward locating fish from their own signals alone.
Catalog record
| CREATOR | Reynaldo D. Pinto, Caroline G. Forlim, Felipe O. L. da Mota, Helena Pessoni-Figueiredo, Rafael Seixas, Carlos H. M. de Aquino, Lírio O. B. de Almeida, Pablo Varona, Francisco B. Rodriguez |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 88635 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |