Abstract
CEBRA is a machine-learning method that can be used to compress time series in a way that reveals otherwise hidden structures in the variability of the data. It excels at processing behavioural and neural data recorded simultaneously, and it can decode activity from the visual cortex of the mouse brain to reconstruct a viewed video.
Details
Title
Brain dynamics uncovered using a machine-learning algorithm
Author(s)
Mathis, Mackenzie Weygandt
Published in
Nature
Date
2023-05-03
Publisher
Berlin, NATURE PORTFOLIO
ISSN
0028-0836
1476-4687
1476-4687
Keywords
Other identifier(s)
View record in Web of Science
Laboratories
UPMWMATHIS
Record Appears in
Scientific production and competences > SV - School of Life Sciences > BMI - Brain Mind Institute > UPMWMATHIS - Bertarelli Foundation Chair of Integrative Neuroscience
Peer-reviewed publications
Work produced at EPFL
Journal Articles
Published
Peer-reviewed publications
Work produced at EPFL
Journal Articles
Published
Record creation date
2023-07-03