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# TME | ||
==================================================================== | ||
Gamaleldin F. Elsayed, Columbia University | ||
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John P. Cunningham, Columbia University | ||
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Copyright (C) 2017 Gamaleldin F. Elsayed and John P. Cunningham | ||
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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. | ||
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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. | ||
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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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==================================================================== | ||
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==================================================================== | ||
Basic Usage Example | ||
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Follow the demo.m file | ||
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==================================================================== | ||
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==================================================================== | ||
TME | ||
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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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==================================================================== | ||
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==================================================================== | ||
==================================================================== | ||
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==================================================================== | ||
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The BibTeX citations for the primary papers used in this project are: | ||
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@article{elsayed, | ||
title={Structure in Neural Population Responses: Interesting or Epiphenomenal?}, | ||
author={Elsayed et al.}, | ||
journal={}, | ||
volume={}, | ||
year={} | ||
} | ||
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==================================================================== | ||
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