Pedraja, Federico; Herzog, Hendrik; Engelmann, Jacob; Jung, Sarah Nicola: The Use of Supervised Learning Models in Studying Agonistic Behavior and Communication in Weakly Electric Fish. In: Frontiers in Behavioral Neuroscience. Jg.15. 2021
Inhalt
- Setup
- Animals
- Data Sets
- Two-Dimensional Representation of Electric Potentials
- Types of Supervised Learning Models for Regression
- Using Supervised Learning to Predict Fish Position and Orientation of Simulated Data
- Using Supervised Learning to Predict Fish Position of Real Fish
- EOD Detection
- Fish Position Tracking
- Dyadic Interactions
- Modeling the EIs
- Results
- Using Supervised Learning to Predict Fish Position and Orientation of Simulated Data
- EOD Detection
- Tracking With SLEAP
- Using Supervised Learning to Predict Fish Position of Real Fish
- Dyadic Interactions
- Initial Approach Phase
- Discussion
- Supervised Learning Algorithms to Study Interactions of Weakly Electric Fish
- The Role of the EI During Dyadic Interactions
- Data Availability Statement
- Ethics Statement
- Author Contributions
- Funding
- Acknowledgments
- References
