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# TME
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Gamaleldin F. Elsayed, Columbia University

John P. Cunningham, Columbia University

Copyright (C) 2017 Gamaleldin F. Elsayed and John P. Cunningham

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.

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Basic Usage Example

Follow the demo.m file

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TME

This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified set of first and second order marginal moments of a data tensor, which makes it well equipped to test for the null hypothesis that a structure in data is an epiphenomenon of these specified set of primary features of the data tensor. The random surrogate data are sampled from a maximum entropy distribution. This distribution unlike traditional maximum entropy method have constraints on the marginal first and second moments of the tensor mode.

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The BibTeX citations for the primary papers used in this project are:

@article{elsayed,
title={Structure in Neural Population Responses: Interesting or Epiphenomenal?},
author={Elsayed et al.},
journal={},
volume={},
year={}
}

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