bioRxivNeurosciencePreprint
Aeon: an open-source platform to study the neural basis of ethological behaviours over naturalistic timescales
Dario CampagneriD, Jai BhagatiD, Gonçalo LopesiD, Lorenza Calcaterra, Alexandre PougetiD, A. Almeida, Trung Thanh NguyeniD, Chang Huan LoiD, Thomas Michael RyaniD, Bruno de Oliveira CruziD, Filipe CarvalhoiD, Z. Li, Andrew ErskineiD, Joaquín RapelaiD, Orsolya FölsziD, M. Marin, J. Ahn, Svenja NierwetbergiD, Stephen C. LenziiD, Jasmine D.S. ReggianiiD, SGEN group – SWC GCNU Experimental Neuroethology Group
Abstract
Ethological behaviours are a powerful tool for neuroscience since they leverage the robust neural computations shaped by the species evolution to study the neural basis of cognitive functions. However, such behaviours are often transitory and dependent on factors that vary over space, time and number of individuals, making them difficult to capture with standard laboratory tasks. Here we present Aeon, an open-source platform designed for continuous, long-term study of self-guided behaviours in multiple mice and simultaneous recording of brain activity within large, customizable habitats. By integrating specialized modules for navigation, nesting and sleeping, escaping, foraging, and social interaction, Aeon enables the expression of key ethological behaviours while achieving experimental control and multi-dimensional quantifications from sub-millisecond to month-long durations. Its software architecture ensures robust data acquisition via many synchronized data streams and delivers a new standardised, unified data format that yields seamless, integrated analysis pipelines. Using assays such as digging-to-threshold and social foraging, Aeon reveals how mice adapt strategies in a changing environment and in response to conspecifics. Aeon bridges ecological relevance with rigorous experimental control to advance our understanding of how neural circuit activity gives rise to a range of highly conserved and adaptive behaviours.
- organism: mouse
- assay: spatial transcriptomics
- research focus: cell type annotation
- approach: experimental assay
- Citations
- 6
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Open-BEATBox: an open-source autonomous operant chamber for high-throughput data acquisition of complex behaviour
Marine EUVRARD, Nabil Benzina, … Eric BURGUIERE·bioRxiv·Nov 10, 2026
- EthoPy: Reproducible Behavioral Neuroscience Made Simple
Alexandros Evangelou, Maria Diamantaki, … Emmanouil Froudarakis·bioRxiv·Sep 8, 2025
- A unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior
Jonathan P. Newman, Jie J. Zhang, … Jakob Voigts·bioRxiv·Aug 30, 2023
- Neurokraken: A fully flexible, open-source, python-based neuroscience behavior platform
Alexander Wallerus, Sofia Castro e Almeida, Johannes Passecker·bioRxiv·Jul 6, 2026
- Open source modules for tracking animal behavior and closed-loop stimulation based on Open Ephys and Bonsai
Alessio Paolo Buccino, Mikkel Elle Lepperød, … Torkel Hafting·Journal of Neural EngineeringPeer-reviewed·Jun 27, 2018
- Open hardware low-cost system for behavioral experiments simultaneously with electrophysiological recordings.
L. A. A. Aguiar, N. A. P. Vasconcelos, … P. V. Carelli·bioRxiv·Apr 28, 2020