The behavior biopsy: Interpreting animal behavior as embodied, situated, and hierarchical

Understanding animal behavior requires moving beyond specialized assays toward comprehensive assessment. We propose that behavior emerges from three fundamental principles: it is embodied, situated, and hierarchical. While this has been appreciated for a long time, we highlight that recent advances in physics engines, computer vision, and multimodal language models (MLMs) now make quantitative measurement of these aspects feasible. Computer vision tools can reconstruct both animals and environmental contexts, and biomechanics simulators allow us to gain insight into the bodily expression of behavior. Unlike traditional approaches that classify behaviors into fixed categories, MLMs can leverage the flexibility of natural language to recognize semantically meaningful behavioral descriptions. These models can integrate multiple modalities, including pose, audio, and environmental context. This integrated framework enables analysis across different levels, opening exciting possibilities for understanding the structure of behavior as well as the underlying neural mechanisms.

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Publication Details

Journal
Current Opinion in Neurobiology
Published
2026-04-17
DOI
https://doi.org/10.1016/j.conb.2026.103201
Primary Topic
Zebrafish Biomedical Research Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

The behavior biopsy: Interpreting animal behavior as embodied, situated, and hierarchical

Alexander Mathis, Andy Bonnetto, Chengkun Li, Sepideh Mamooler
Current Opinion in Neurobiology
Zebrafish Biomedical Research Applications
article

The behavior biopsy: Interpreting animal behavior as embodied, situated, and hierarchical

Alexander Mathis, Andy Bonnetto, Chengkun Li, Sepideh Mamooler
article en

Abstract

Understanding animal behavior requires moving beyond specialized assays toward comprehensive assessment. We propose that behavior emerges from three fundamental principles: it is embodied, situated, and hierarchical. While this has been appreciated for a long time, we highlight that recent advances in physics engines, computer vision, and multimodal language models (MLMs) now make quantitative measurement of these aspects feasible. Computer vision tools can reconstruct both animals and environmental contexts, and biomechanics simulators allow us to gain insight into the bodily expression of behavior. Unlike traditional approaches that classify behaviors into fixed categories, MLMs can leverage the flexibility of natural language to recognize semantically meaningful behavioral descriptions. These models can integrate multiple modalities, including pose, audio, and environmental context. This integrated framework enables analysis across different levels, opening exciting possibilities for understanding the structure of behavior as well as the underlying neural mechanisms.

Current Opinion in NeurobiologyVol. 98
École Polytechnique Fédérale de Lausanne (CH)
Simons Foundation, Boehringer Ingelheim Fonds, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Openalex Percentile: Top 10%
Zebrafish Biomedical Research Applications
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