Tracking changes in behavioural dynamics using prediction error.
Automated analysis of video can now generate extensive time series of pose and motion in freely-moving organisms. This requires new quantitative tools to characterise behavioural dynamics. For the model roundworm Caenorhabditis elegans, body pose can be accurately quantified from video as coordinate...
Main Authors: | Tom Lorimer, Rachel Goodridge, Antonia K Bock, Vitul Agarwal, Erik Saberski, George Sugihara, Scott A Rifkin |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2021-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0251053 |
Similar Items
-
Networks of causal linkage between eigenmodes characterize behavioral dynamics of caenorhabditis elegans
by: Agarwal, V., et al.
Published: (2021) -
The importance of making testable predictions: A cautionary tale.
by: Emma S Choi, et al.
Published: (2020-01-01) -
Dynamics of Florida milk production and total phosphate in Lake Okeechobee
by: Joseph Park, et al.
Published: (2021-01-01) -
Dynamics of Florida milk production and total phosphate in Lake Okeechobee.
by: Joseph Park, et al.
Published: (2021-01-01) -
A Model Predictive Controller With Switched Tracking Error for Autonomous Vehicle Path Tracking
by: Chuanyang Sun, et al.
Published: (2019-01-01)