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Example code for Multi-Linear Population Analysis (MLPA), Geddes et al.

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\f0\fs24 \cf0 README for code associated with the paper:\
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Geddes J, Einevoll G T, Acar E, Stasik A J. Multi-Linear Population Analysis (MLPA) of LFP data using Tensor Decompositions. Frontiers in Applied Mathematics and Statistics. (2020). DOI:\
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\fs24 \cf0 \cb1 \kerning1\expnd0\expndtw0 Repository contains the following files/folders:\
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Driver_Results.m: Runs analysis as stated in the above referenced paper\
MLPA_unbounded.m: The main method used and presented in the paper\
MLPA_bounded.m: The bounded version of the MLPA, in the paper this was only used to attempt to increase accuracy in the nonlinear case.\
sim_tensor_4pop_linear.m: Used to create tensor (with kernels, not included in repository) given a linear F function\
sim_tensor_4pop_nonlinear.m: Used to create tensor (with kernels, not included in repository) given a linear F function\
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Dependencies:\
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Tensor_toolbox:\
Brett W. Bader, Tamara G. Kolda and others. \
MATLAB Tensor Toolbox Version 3.1, \
Available online, June 2019. \
URL: https://gitlab.com/tensors/tensor_toolbox. \
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N-way Toolbox:\
The N-way Toolbox for MATLAB ver. 3.30, http://www.models.life.ku.dk/\
R. Bro & C. A. Andersson\
Faculty of Life Sciences\
Copenhagen University\
DK-1958 Frederiksberg\
Denmark\
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Poblano Toolbox:\
Sandia National Labs\
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https://github.com/sandialabs/poblano_toolbox\cf0 \kerning1\expnd0\expndtw0 \
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L-BFGS-B Matlab:\
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Stephen Becker (2020).\'a0LBFGSB (L-BFGS-B) mex wrapper\'a0(https://www.mathworks.com/matlabcentral/fileexchange/35104-lbfgsb-l-bfgs-b-mex-wrapper), MATLAB Central File Exchange.\
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FastICA_2.5\
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\cf4 \cb1 \kerning1\expnd0\expndtw0 Hugo G\'e4vert, Jarmo Hurri, Jaakko S\'e4rel\'e4, and Aapo Hyv\'e4rinen.\
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https://research.ics.aalto.fi/ica/fastica/index.shtml\cf0 \kerning1\expnd0\expndtw0 \
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