Back to search

Article

SaLSa: a combinatory approach of semi-automatic labeling and long short-term memory to classify behavioral syllables

2023-04-07

Abstract excerpt

Accurately and quantitatively describing mouse behavior is an important area. Although advances in machine learning have made it possible to track their behaviors accurately, reliable classification of behavioral sequences or syllables remains a challenge. In this study, we present a novel machine learning approach, called SaLSa (a combination of semi-automatic labeling and long short-term memory-based classificat...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
8c1e8c0b-8655-5ed8-8b16-cbd265e22fe7
DOI
10.1101/2023.04.05.535796
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
SaLSa: a combinatory approach of semi-automatic labeling and long short-term memory to classify behavioral syllablesDOI 10.1101/2023.04.05.535796
Select a neighboring publication to make it the new centre.