ArticleNature communications2022
Automatic mapping of multiplexed social receptive fields by deep learning and GPU-accelerated 3D videography.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Neural Bases of Collective Social Behavior and Group Interactions across Species.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Review
- Article
- Mapping the landscape of social behavior.Cell · 2025Article
- The neurobiology of parenting and infant-evoked aggression.Physiological reviews · 2025Review
- Social context restructures behavioral syntax in mice.Frontiers in behavioral neuroscience · 2025Article
- Mapping the landscape of social behavior.bioRxiv : the preprint server for biology · 2024Article
- How to get rich quick: Using video to enrich psychology and neuroscience research Comment on "Beyond simple laboratory studies: Developing sophisticated models to study rich behavior" by Maselli et al.Physics of life reviews · 2024Article
- A Novel Head-Fixed Assay for Social Touch in Mice Uncovers Aversive Responses in Two Autism Models.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Postural analysis reveals persistent changes in paper wasp foundress behavioral state after conspecific challenge.Ecology and evolution · 2023Article
- 3D mouse pose from single-view video and a new dataset.Scientific reports · 2023Article
- Marker-less tracking system for multiple mice using Mask R-CNN.Frontiers in behavioral neuroscience · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Social interactions powerfully impact the brain and the body, but high-resolution descriptions of these important physical interactions and their neural correlates are lacking. Currently, most studies rely on labor-intensive methods such as manual annotation. Scalable and objective tracking methods are required to understand the neural circuits underlying social behavior. Here we describe a hardware/software system and analysis pipeline that combines 3D videography, deep learning, physical modeling, and GPU-accelerated robust optimization, with automatic analysis of neuronal receptive fields recorded in interacting mice. Our system ("3DDD Social Mouse Tracker") is capable of fully automatic multi-animal tracking with minimal errors (including in complete darkness) during complex, spontaneous social encounters, together with simultaneous electrophysiological recordings. We capture posture dynamics of multiple unmarked mice with high spatiotemporal precision (~2 mm, 60 frames/s). A statistical model that relates 3D behavior and neural activity reveals multiplexed 'social receptive fields' of neurons in barrel cortex. Our approach could be broadly useful for neurobehavioral studies of multiple animals interacting in complex low-light environments.
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