公開ソフトウェア / Software

Energy Landscape Analysis Toolkit (ELAT) [Download from GitHub]
The energy landscape analysis is a powerful method for analyzing multivariate time-series data (e.g. fMRI data).
We provide MATLAB code for the entire analysis described in our papers [Ezaki et al. (2017), Ezaki et al. (2018)]. 





Requirements
MATLAB (ver. later than R2016b)
MATLAB Statistics and Machine Learning Toolbox


Limitations
The energy landscape analysis is not applicable to the data if the number of variables, N, is larger than 15.
Note that estimation of the maximum entropy distribution is possible even for N > 200.

The length of the data is crucial. We do not encourage to use this method for very short data (Tmax<1000). 



What can we do after this analysis?
ELAT provides:
1. Categorization of the possible 2^N states into relevant groups based on the maximum entropy distribution.
2. Disconnectivity graph which characterizes the energy landscape.

1. can be used to label states for further analysis (e.g., elaborate a new dynamical index).
2. may characterize the difference between the two groups (subject groups etc.) of data.
See references listed in [Ezaki et al. (2017)for examples of the use of the energy landscape analysis.

Download ELAT 
2018/09/03 ELAT ver. 2.0 is available! [Download from GitHub]
Updates:
1. Added individual analyses including computations of dynamical transitions, the frequency of basin states, etc. 



Old versions (for archiving purpose).
2018/02/05 ELAT ver. 1.2 [Download].
Update:
1. Added the correspondences between the labeling numbers of local minima (i.e., 1,2,3,..) and state numbers shown in the console.

2018/01/16 ELAT ver 1.1 [Download].
Updates:
1. Added accuracy of fitting, r.
2. Definitions of ROI and state number were modified.

2017/7/10 ELAT ver 1.0 [Download]


Contact information
E-mail: ezaki@jamology.rcast.u-tokyo.ac.jp 







ċ
ELAT.zip
(53k)
Takahiro Ezaki,
9 Jul 2017, 19:02
ċ
ELAT_ver1.1.zip
(53k)
Takahiro Ezaki,
16 Jan 2018, 03:33
ċ
ELAT_ver1.2.zip
(53k)
Takahiro Ezaki,
5 Feb 2018, 06:51
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