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CINPLA/MultiLinearPopulationAnalysis-MLPA
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{\rtf1\ansi\ansicpg1252\cocoartf2513 \cocoatextscaling0\cocoaplatform0{\fonttbl\f0\fswiss\fcharset0 Helvetica;} {\colortbl;\red255\green255\blue255;\red77\green80\blue85;\red255\green255\blue255;\red0\green0\blue0; \red0\green0\blue233;\red49\green49\blue49;} {\*\expandedcolortbl;;\cssrgb\c37255\c38824\c40784;\cssrgb\c100000\c100000\c100000;\cssrgb\c0\c0\c0; \cssrgb\c0\c0\c93333;\cssrgb\c25098\c25098\c25098;} \margl1440\margr1440\vieww10800\viewh8400\viewkind0 \pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0 \f0\fs24 \cf0 README for code associated with the paper:\ \ 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:\ \ \fs18 \cf2 \cb3 \expnd0\expndtw0\kerning0 \ \fs24 \cf0 \cb1 \kerning1\expnd0\expndtw0 Repository contains the following files/folders:\ \ 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\ \ \ \ Dependencies:\ \ 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. \ \ 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\ \ Poblano Toolbox:\ Sandia National Labs\ \pard\pardeftab720\partightenfactor0 \cf4 \expnd0\expndtw0\kerning0 https://github.com/sandialabs/poblano_toolbox\cf0 \kerning1\expnd0\expndtw0 \ \pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0 \cf0 \ L-BFGS-B Matlab:\ \pard\pardeftab720\partightenfactor0 \cf4 \cb3 \expnd0\expndtw0\kerning0 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.\ \ FastICA_2.5\ \pard\pardeftab720\partightenfactor0 \cf4 \cb1 \kerning1\expnd0\expndtw0 Hugo G\'e4vert, Jarmo Hurri, Jaakko S\'e4rel\'e4, and Aapo Hyv\'e4rinen.\ \pard\pardeftab720\partightenfactor0 \cf4 \expnd0\expndtw0\kerning0 https://research.ics.aalto.fi/ica/fastica/index.shtml\cf0 \kerning1\expnd0\expndtw0 \ \pard\pardeftab720\partightenfactor0 \cf4 \cb3 \expnd0\expndtw0\kerning0 \ \ \pard\pardeftab720\partightenfactor0 \cf4 \cb1 \kerning1\expnd0\expndtw0 \ \pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0 \cf0 \ }
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Example code for Multi-Linear Population Analysis (MLPA), Geddes et al.
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