Back

A system for 3D reconstruction of mouse behaviour

Storchi, R.

2025-11-06 neuroscience
10.1101/2025.11.05.686730 bioRxiv
Show abstract

Recent development in machine vision has enabled researchers unprecedented resolution in measuring behaviour in freely moving animals. However, the hardware implementation of a behavioural arena for capturing 3D behaviours remains time consuming and unstandardised. Here we first provide detailed instructions on how to build and calibrate such a system. Secondly, we provide instructions on how to process video data to obtain a 3D reconstruction of mouse behaviour. Finally, we provide results from behavioural tests in which 3D reconstruction enables clear-cut separation of behavioural responses to distinct sensory stimuli. Data and Software AvailabilityAll data and analyses software required for this article is provided in a publicly available repository [1] Competing InterestsThis project contains the following underlying data. Grant InformationThis work was funded by NC3Rs via a David Sainsbury Fellowship (Project Reference NC/P001505/1).

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
PLOS ONE
● 5266 papers in training set
Top 8%
19.4%
Similar papers in this journal
2
Journal of Neuroscience Methods
○ 122 papers in training set
Top 0.1%
19.4%
Similar papers in this journal
3
Scientific Reports
○ 3612 papers in training set
Top 8%
7.6%
Similar papers in this journal
4
PLOS Computational Biology
● 1863 papers in training set
Top 8%
4.7%
Similar papers in this journal
50% of probability mass above
5
Royal Society Open Science
● 214 papers in training set
Top 1%
3.4%
Similar papers in this journal
6
eLife
● 5828 papers in training set
Top 33%
3.4%
7
Behavior Research Methods
○ 30 papers in training set
Top 0.1%
3.4%
8
eneuro
● 439 papers in training set
Top 3%
2.8%
9
Current Protocols
○ 15 papers in training set
Top 0.1%
2.0%
10
Scientific Data
○ 209 papers in training set
Top 1%
2.0%
11
Biology Open
● 156 papers in training set
Top 1%
1.8%
12
Journal of Experimental Biology
● 259 papers in training set
Top 1%
1.8%
13
Frontiers in Behavioral Neuroscience
○ 49 papers in training set
Top 0.6%
1.4%
14
Methods in Ecology and Evolution
○ 176 papers in training set
Top 1%
1.2%
15
Journal of Visualized Experiments
● 34 papers in training set
Top 0.4%
1.2%
16
Nature Protocols
○ 33 papers in training set
Top 0.4%
1.2%
17
Methods
○ 34 papers in training set
Top 0.4%
1.1%
18
Sensors
○ 43 papers in training set
Top 1.0%
1.1%
19
iScience
○ 1154 papers in training set
Top 30%
1.0%
20
Frontiers in Neuroinformatics
○ 41 papers in training set
Top 0.5%
1.0%
21
BMC Biology
○ 265 papers in training set
Top 5%
1.0%
22
Peer Community Journal
● 281 papers in training set
Top 5%
0.9%
23
STAR Protocols
○ 18 papers in training set
Top 0.3%
0.6%
24
BMC Bioinformatics
○ 457 papers in training set
Top 6%
0.6%
25
Proceedings of the Royal Society B: Biological Sciences
● 393 papers in training set
Top 7%
0.5%
26
HardwareX
○ 18 papers in training set
Top 0.3%
0.5%
27
PeerJ
◐ 308 papers in training set
Top 13%
0.5%
28
Neuroinformatics
○ 46 papers in training set
Top 1%
0.5%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.