Back

DeepRod: A human-in-the-loop system for automatic rodent behavior analysis

Loy, A.; Garafolj, M.; Schauerte, H.; Behnke, H.; Charnier, C.; Schwarz, P.; Rast, G.; Wollmann, T.

2024-01-04 animal behavior and cognition
10.1101/2024.01.04.572506 bioRxiv
Show abstract

We present a human-in-the-loop system for efficient rodent behavior analysis in drug development. Addressing the time-consuming and labor-intensive nature of manual behavior categorization, this UX-optimized platform integrates AI for complex behavior prediction and active learning to identify rare events. The proposed solution leverages a cloud-native data processing pipeline, AI-based novelty behavior recognition and multi-class classification, demonstrating significant improvements in behavior labeling and discovery.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
PLOS ONE
● 5266 papers in training set
Top 16%
11.9%
Similar papers in this journal
2
PLOS Computational Biology
● 1863 papers in training set
Top 4%
7.9%
Similar papers in this journal
3
Scientific Reports
○ 3612 papers in training set
Top 7%
7.9%
Similar papers in this journal
4
Behavior Research Methods
○ 30 papers in training set
Top 0.1%
6.3%
Similar papers in this journal
5
Frontiers in Behavioral Neuroscience
○ 49 papers in training set
Top 0.1%
5.5%
Similar papers in this journal
6
Frontiers in Psychiatry
○ 87 papers in training set
Top 0.4%
4.4%
7
Frontiers in Artificial Intelligence
○ 20 papers in training set
Top 0.1%
4.1%
8
Nature Communications
○ 5641 papers in training set
Top 32%
4.1%
50% of probability mass above
9
BMC Bioinformatics
○ 457 papers in training set
Top 2%
3.4%
10
Journal of Neuroscience Methods
○ 122 papers in training set
Top 0.6%
3.2%
11
iScience
○ 1154 papers in training set
Top 9%
2.8%
12
Current Protocols
○ 15 papers in training set
Top 0.1%
2.1%
13
Biology Methods and Protocols
◐ 61 papers in training set
Top 0.7%
1.9%
14
eLife
● 5828 papers in training set
Top 50%
1.7%
15
SoftwareX
○ 15 papers in training set
Top 0.1%
1.7%
16
eneuro
● 439 papers in training set
Top 5%
1.7%
17
JAMIA Open
◐ 42 papers in training set
Top 1.0%
1.7%
18
Lab Animal
○ 11 papers in training set
Top 0.1%
1.7%
19
Journal of Visualized Experiments
● 34 papers in training set
Top 0.3%
1.7%
20
Journal of Medical Internet Research
◐ 87 papers in training set
Top 2%
1.5%
21
Methods in Ecology and Evolution
○ 176 papers in training set
Top 1%
1.1%
22
IEEE Journal of Biomedical and Health Informatics
● 37 papers in training set
Top 0.8%
1.1%
23
Patterns
○ 78 papers in training set
Top 2%
1.0%
24
Frontiers in Neuroscience
○ 256 papers in training set
Top 6%
0.8%
25
BMC Medical Informatics and Decision Making
○ 43 papers in training set
Top 2%
0.8%
26
PLOS Digital Health
● 106 papers in training set
Top 4%
0.8%
27
Ecological Informatics
○ 33 papers in training set
Top 0.7%
0.8%
28
Sensors
○ 43 papers in training set
Top 1%
0.6%
29
Scientific Data
○ 209 papers in training set
Top 3%
0.6%
30
PeerJ
◐ 308 papers in training set
Top 12%
0.6%

"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.