sha256 stringlengths 64 64 | language stringclasses 27
values | size int32 1 491k | lines int32 1 21.8k | content stringlengths 1 200k |
|---|---|---|---|---|
26944297a6fd25c0dd4fb6862f0aba6bace947bfbf76aaf383b873184bb1f2fb | MATLAB | 6,172 | 202 | function [vol_reslice, nii] = myreslice_nii_match_res(vol, method, X_grid, Y_grid, Z_grid, fileOut, gz)
% Similar to myreslice_nii.m but it matches the resolution of vol to target resolution before
% interpolation. It is useful in case of downsampling (can not really match resolution while
% upsampling). vol must be 3D... |
9b4e8d0574a42d6e03ec12797cc2c1d5efd18fea926d1e9667088b8a7ec6eab8 | MATLAB | 6,178 | 151 | function plot_spike_trial_example(cfg, spiketrials, waveformstats, ipart, markername, itrial, toi)
% Use as :
% plot_spike_trial_example(cfg, spiketrials, waveformstats, ipart, markername, itrial, maxsize)
%
% plot_spike_trial_example plots, for one trial, the raw LFP, the LFP
% high-pass filtered, and the LFP... |
0c705e216abdee31d62299ddd5e02d4aa262a58099cd433a5ae5009f17df1075 | MATLAB | 6,184 | 230 | % Connecting parallel pool
c = parcluster;
parpool(c, 14);
%Simulation//Run variables
namesOfNeurons = {'TRN_PV','TRN_SOM',...
'TC_MGB','TC_HO'};
load('s_init.mat','s_init')
s0 = s_init;
per_neuron = 20;
startTime = 0;
endTime = 1000;
tspan = [startTime endTime];
tmax = abs(endTime - startTime... |
a70f6167de2a1e4362b1034e549ce1bd1e2cce450ee361b04bdc349fc6805e7c | MATLAB | 6,202 | 203 | clear
close
PATH = './../Systems/Pyramid_astro/transients/';
% FIG. 4
fileName = 'theta_gamma'; tlims = [0 5.5]; tticks = 0:0.5:5.5;
clims1 = [0,75]; cticks1 = 0:15:75; ctickslabels1 = {'0','15','30','45','60','75+'};
clims2 = [0,1000]; cticks2 = 0:250:1000; ctickslabels2 = {'0','250','500','750','1000+'};
flims = [0... |
d80177ce7d94330548b6199acc10d05e6ae77d6dc146bf1cee91febb77f83696 | MATLAB | 6,203 | 203 | function [vol_reslice, nii] = myreslice_nii_match_res(vol, method, X_grid, Y_grid, Z_grid, fileOut, gz)
% Similar to myreslice_nii.m but it matches the resolution of vol to target resolution before
% interpolation. It is useful in case of downsampling (can not really match resolution while
% upsampling). vol must be 3D... |
3e5e15c571d8ee8e26f3fd99364e7f40c3be7cf4f0ecd03888d978c939e056dd | MATLAB | 6,204 | 172 | function [roi,roi_accepted,dcx_image_roi,nuclear_image_roi,roi_fname,settings]=finding_roi(settings,roi_accepted,angle_accepted,roi_names,nuclear_image,dcx_image,rectangle_roi_subfolder,magnification,roi_size,roi_idx,idx,rois_x,rois_y,mouse_name,nuclear_colormap,dcx_colormap)
%%% Rotate ROI - Version 4 %%%
set(0, '... |
00c52a5dde4a310bfb75ab733319ed811c6be62f383a48c087c3e0b1b4e705b4 | MATLAB | 6,206 | 179 | function outpict = tonepreset(inpict,tone,amount,presetenf)
% OUTPICT = TONEPRESET(INPICT,TONE,{AMOUNT},{RANGETYPE})
% Apply a selected tone adjustment preset to an image.
%
% This is based on Iain Fergusson's GMIC tools.
% https://github.com/dtschump/gmic-community/blob/master/include/iain_fergusson.gmic
%
% INPI... |
08e9eb2c4dacea71445822045f472aa0049769d670b62ba39fdd957d252ffc08 | MATLAB | 6,215 | 89 | function im2ods(inpict,archive,pixelsize,imwidth,palsize)
% IM2ODS(INPICT, OUTPATH, PIXELSIZE, IMWIDTH, {PALSIZE})
% create an ODS spreadsheet (open office/libre office)
% using colored cells to replicate an image
%
% INPICT is a color image
% OUTPATH is the name of the output .ods file
% PIXELSIZE ... |
29995958e8b53a2b60f8cbd3fcf09bcc615e2f58775ca67d36d067010071be12 | MATLAB | 6,226 | 135 | function preictal_project_LC
restoredefaultpath
if ispc
addpath (genpath('\\lexport\iss01.charpier\analyses\vn_preictal\scripts\EpiCode\shared'))
addpath (genpath('\\lexport\iss01.charpier\analyses\vn_preictal\scripts\EpiCode\external'))
addpath (genpath('\\lexport\iss01.charpier\analyses\vn_preictal\scrip... |
cab7d40bd351400ab23aa1ad6bc0a12b6133ef969ecc3a541dc3ab392774a2d0 | MATLAB | 6,230 | 155 |
%% load experiment info and set a few variables for analysis
clear
% load experiments and generic stuff
experiments = 'your function to load experiments';
repeatCalc = 0;
save_data = 1;
% folders where you saved various results
folder4osc = 'your_folder_here';
folder4PSD = 'your_folder_here';
folder4STTC = 'your_fol... |
4061168c810e33b406dd1f81fab4ee1453027a65b4116322bc0c260e34aacc02 | MATLAB | 6,269 | 151 | function [trial, answer, anstime] = RunOneTrial(trial, data, iti, trans, fc, ...
datatypes, nwd, window, colour, prompt, xcenter, ycenter, mmultiply, nd, dotsize, leng, test)
% Usage: trial = runOneTrial_single(trial, data, iti, trans, fc, fname,
% datatypes, nwd, window, colour, prompt, xcenter, ycenter)
... |
1642d812f446ee24b4a5de9b9146ded223a43178963cbb22a68677fa710b9d53 | MATLAB | 6,276 | 128 | function [SpikeTrials] = readSpikeTrials_welch(cfg, MuseStruct, SpikeRaw, force)
% [SpikeTrials] = readSpikeTrials_MuseMarkers(cfg, MuseStruct, SpikeRaw, force)
% Make a Fieldtrip spike trials structure based on equal overlapping
% windows.
%
% ### Necessary input:
% cfg.prefix = prefix to output files
% cf... |
c12122a6c4b4d81b5fbc545bf838ca72e3fb486949885066c302658bc6fb2989 | MATLAB | 6,285 | 201 | %% Embedding extraction (sub 9)
clc,clear all;close all;
embed_folder = ['..\data\EEG\'];
ls = dir([embed_folder,'ds*mat']);
% Focus on first 30 minutes
fs = 100;
t_start = 1*fs;
t_end = 1800*fs;
t = linspace(t_start,t_end,(t_end - t_start + 1)) / fs;
% Wavelet parameter
wavelet_name = 'cmor1-1.5';
central_freq = cen... |
8db1eec464b0c593f54c0577b51a5b2a03e90e93d620fff3d0c34d4298b5994d | MATLAB | 6,296 | 199 | function inpict = roifilter(inpict,mk,F,varargin)
% OUTPICT = ROIFILTER(INPICT,MASK,F,{OPTIONS})
% Restrict the application of a filter or other function to a region specified
% by a mask. This is similar to IPT roifilt2(), but more flexible, useful, and
% often faster. The basic concept is to extract and... |
4774f1c6d12dfd2848a912df98e4175de0edc3ab6bea412d04611c981c248621 | MATLAB | 6,330 | 226 | function [nii_in, reorient_matrix, sform_new, bMatrice_new] = reorient_nifti_sform(nifti_file, output_file, bmatrices)
% Reorients data matrix by applying all orthogonal rotation (& flipping) component of sform
% matrix (S). It tries to get modified sform matrix (Sn) as close as possible to identity
% matrix (before sc... |
9a30e8adfab27cc4ba6d1b95bd3eb976931870ee37069a02d5335c4ce0032adb | MATLAB | 6,335 | 133 | classdef ConnectomeAnalysisRunner
% ConnectomeAnalysisRunner
% Executes full and holdout analyses for a given connectome and shared data.
properties
Factory AnalysisDataFactory
PairGenerationOptions PairDataGenerationOptions
ReconstructionOptions ReconstructionParameters
Hol... |
271c9e76bc98b69ce434b7607b22f8e0711a6dc728f5402dfe3399c4c307862e | MATLAB | 6,358 | 163 | function bfsave(varargin)
% BFSAVE Save a 5D matrix into an OME-TIFF using Bio-Formats library
%
% bfsave(I, outputPath) writes the input 5D matrix into a new file
% specified by outputPath.
%
% bfsave(I, outputPath, dimensionOrder) specifies the dimension order of
% the input matrix. This value will be ign... |
de7467c624984f78792079f9bda2a9467039f4734df540c117da807c4af17a44 | MATLAB | 6,373 | 232 | % Save NIFTI or ANALYZE dataset that is loaded by "load_untouch_nii.m".
% The output image format and file extension will be the same as the
% input one (NIFTI.nii, NIFTI.img or ANALYZE.img). Therefore, any file
% extension that you specified will be ignored.
%
% Usage: save_untouch_nii(nii, filename)
%
% ... |
9cd3a55d27533c091ad6f96d91f15b738f0a8d5e4740295c1c1d7f7ff31ddbf1 | MATLAB | 6,381 | 149 | function X = preprocessData(X, varargin)
% X = preprocessData(X, varargin)
%
% Function to pre-process calcium imaging data. Current order of
% operations:
% - Filtering
% - Averaging (temporal)
% - Centering
% - Normalization
%
% 2019 - Adam Charles
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
0c3b3f68e44d6094223de88b49e1274d9d7c0c8778f7909ffa4c26b29322bac7 | MATLAB | 6,399 | 173 | function plot_patterns_multilevel(cfg)
% set LFP config to read requested patterns
LFP = readLFP(cfg);
TFR = TFRtrials(cfg);
SpikeTrials_timelocked = readSpikeTrials_MuseMarkers(cfg);
SpikeDensity_timelocked = spikeTrialDensity(cfg);
cfg_TFR = [];
cfg_TFR.chann... |
333d94abd4c559d07dd1eb4078641b439d607145c26575030876c6b69cc908a9 | MATLAB | 6,401 | 144 | function [C,phi,S12,S1,S2,t,f,confC,phistd,Cerr]=cohgramc(data1,data2,movingwin,params)
% Multi-taper time-frequency coherence,cross-spectrum and individual spectra - continuous processes
%
% Usage:
%
% [C,phi,S12,S1,S2,t,f,confC,phistd,Cerr]=cohgramc(data1,data2,movingwin,params)
% Input:
% Note units have to be cons... |
4e50581fff7476fc6328fc7cda7ca092db9250c539084104bf8b7ee35c75bc2b | MATLAB | 6,414 | 210 | function [assembly_activity]=Assembly_activity_function(As_across_bins, assembly, spM, BinSizes, lagChoice, act_count)
% This function returns assembly activity. Two option have to be chosen:
%
% ARGUMENTS:
% As_across_bins := structure containing assembly information output of ASSEMBLIES_ACROSS_BINS;
% assemb... |
1b8327ff7c7966e8b50b1515f39692e0b76ab575f0fbf20cda4736e77136a281 | MATLAB | 6,426 | 165 | function [OPS_object_data] = Square_object_detection_OPS(OPS_object_data,save_path,position_analysis,frame,Files,idx,ind_mouse,phase)
% [OPS_object_data] = Square_object_detection_OPS(OPS_object_data,save_path,position_analysis,frame,Files,idx,ind_mouse,phase)
% Detect square objects in OPS videos
%
% inputs:
% OP... |
aad4602b61ed10ed54952283a591e8c3549ebb79b7b0ccc01bfbf4d32b3309b5 | MATLAB | 6,434 | 150 | function MBmodel = optimiseMBparams_homeostaticInhibition(MBmodel, PNactivity)
% optimising the "green model"
sigmoid_factor = -1.11;
Sigmoid_derivative = @(x) exp(-x./sigmoid_factor)./((1.+exp(-x./sigmoid_factor)).^2) ;
Sigmoid = @(x) 1./(1.+exp(-x./sigmoid_factor)) ;
tic
% separate optimisation from model crea... |
a297f016e1204d5cb58289625791e91c1d32fdc6d39d7e76e4d27e5a283801bb | MATLAB | 6,438 | 229 | function plotPrior(res)
% this function creates the plot illustrating the priors on the different
% parameters
%
% this is meant to be a 3 column, 2 rows multipanel plot.
% parameters
lineW = 2;
lineC = [0,105/255,170/255];
markerSize = 30;
data = res.data;
% get correct stimulus range
if numel(res.options.stim... |
269d6a6a1681a93182bf6d6601584d40951dbb9260282da75a985b3e18e87cc4 | MATLAB | 6,439 | 249 | function outpict = siftpixels(A,varargin)
% OUTPICT = SIFTPIXELS(INPICT,{GRAVITY})
% Migrate non-NaN elements of an image in a specified direction.
% Like sifting grains of sand, non-NaN image content is consolidated
% and separated from NaN elements.
%
% INPICT is an image of floating-point class. Multic... |
85008b3bf593040d2329568f68e99930b9bfd00f538ee7c2e393bcee577f2f5a | MATLAB | 6,442 | 191 | function [subdata_str_cell, subdata_num, headers, alldata_str] = CBIG_parse_delimited_txtfile(filename, fieldname_str_cell, fieldname_num_cell,filter_fieldname, filter_val_str_cell, delimiter)
% [subdata_str_cell, subdata_num, headers, alldata_str] = CBIG_parse_delimited_txtfile(filename, fieldname_str_cell, fieldname... |
b918e4e9a3f29fde22ca1bfd0ccf49d169a714a9b9d10df70450699d1015da49 | MATLAB | 6,446 | 155 | classdef OverallAnalysisGroup
% OverallAnalysisGroup
% Manages the main full-data analysis and associated holdout analyses.
properties
FullAnalysisModel (1,1) PairDataCCAAnalysisModel % PairDataCCAAnalysisModel or equivalent
HoldoutUnits (:,1) HoldoutAnalysisUnit % Arra... |
f98c61dfb86c77fcaebecf8bcd0bf904c16f98570ef41cf7b34bd0574fab5a6f | MATLAB | 6,452 | 180 | function [outpict outtuple] = autowb(inpict,option)
% OUTPICT = AUTOWB(INPICT,{GRAYVAL})
% OUTPICT = AUTOWB(INPICT,{GRAYMASK})
% [OUTPICT GRAYVALOUT] = AUTOWB(INPICT,...)
% Simple automatic white balance for photos. Uses a constrained gray world assumption.
% Transformations are performed in LAB with chroma c... |
0d0fac7dd35561fb6b465477edce71933896d8ba6144e096f4c9f805a8669096 | MATLAB | 6,462 | 119 | function [MuseStruct_new] = editMuseMarkers(cfg, MuseStruct_orig)
% EDITMUSEMARKERS adds, removes or renames markers in each MuseMarker structure
%
% Usage: Use readMuseMarkers to obtain MuseStruct, and writeMuseMarkers to
% write new MuseStruct to Muse event files.
%
% Optional fields:
%
% cfg.editmarkerfile.tore... |
2b8aace56e1af506d3c6c0025e46cc90e98935331ce2e85d9aa6575931ab68f4 | MATLAB | 6,466 | 161 | function [ S, f, Serr ]= mtspectrumc_unequal_length_trials( data, movingwin, params, sMarkers )
% This routine computes the multi-taper spectrum for a given set of unequal length segments. It is
% based on modifications to the Chronux routines. The segments are continuously structured in the
% data matrix, with the s... |
05b9e15c09f88fc4489eebc2673f60d6f7e5f0d0c1c388841a6861171c85ef8c | MATLAB | 6,467 | 160 | function [img_n] = filter_image_SAP(img, fname, biom_folder, biom_set_folder, biom, kernel, colormap_biom, normalise_img, normalise_brightness);
% %% biomarker info
% [pixel_thresh,min_size,max_size,do_watershed,correct_brightness, kernel, colormap_biom] = get_biomarker_info(biom);
%% close figs
close_figs = 0;
... |
81d9ebd6362c112791cf84a5a5a2ccf09dcd6cbb3041d474d80f8ce30cc4a4c9 | MATLAB | 6,480 | 138 | function [conf_Intervals, confRegion]=getConfRegion(result)
% get confidence intervals and region for parameters
% function [conf_Intervals, confRegion]=getConfRegion(result)
% This function returns the conf_intervals for all parameters and a
% confidence region on the whole parameter space.
%
% Useage
% pass the resul... |
034da31e93fd1f21794a08381e68dcd3704e159531db18c55a8ff9b91cb2ee7c | MATLAB | 6,494 | 144 | function [SpikeRaw, SpikeTrials] = readSpykingCircus_phy(cfg,MuseStruct,force)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% [SpikeRaw, SpikeTrials] = readSpykingCircus(cfg,MuseStruct,force)
% Read results from Spyking-Circus analysis; spike-times and templates.
%
%
% Necessary input:... |
7397e0a2c9d9651435336a3e8543a4845e278df15bda59a24161b0d13c049662 | MATLAB | 6,495 | 182 | function U = cpm_precompute(model, grid, fixedparams, data, precomp_file, overwrite)
% cpm_precompute Summary of this function goes here
% INPUTS:
% -model: name computational model of interest. The user would
% implement this function. See cpm_grid_template for details.
% ... |
439e9fda2d78e3a48dfb6b761d692f03c3379897f517c2415f21b1867f62dd09 | MATLAB | 6,517 | 227 | function outpict = lch2rgb(inpict,varargin)
% LCH2RGB(INPICT, {MODE}, {LIMIT}, {NOGC}, {WP})
% Convert a LCH/YCH image to sRGB. LCH variant may be CIELUV, CIELAB, SRLAB2, or OKLAB
%
% INPICT is a single LCH image (of known type)
% MODE is either 'luv' (default), 'lab', 'srlab', 'oklab', or 'YPbPr'
% ... |
67eb2e57acee6e68b66c85d6999200f49af4bf84f7161cd4c13e17d966a26c3c | MATLAB | 6,553 | 160 | %% plot all data
if ~isfolder(cfgcommon.imagesavedir)
fprintf('Creating directory %s\n', cfgcommon.imagesavedir);
mkdir(cfgcommon.imagesavedir)
end
analysis_names = {'Timefreq_WOD', 'Timefreq_WOD_timenorm', 'Timefreq_recovery'};
data = {timefreq_wod_grandavg, timefreq_wod_... |
c8cf9528447c3b7d6cf7091aa142b2ce4f875021c6da2fab3236c27b785adf72 | MATLAB | 6,560 | 152 |
%%
function [Best_Cost,Best_X,Convergence_curve]=INFO(nP,MaxIt,lb,ub,dim,fobj)
%% Initialization
Cost=zeros(nP,1);
M=zeros(nP,1);
X=initialization(nP,dim,ub,lb);
for i=1:nP
Cost(i) = fobj(X(i,:));
M(i)=Cost(i);
end
... |
689c9f435f8e7a1bb7e8cd50bd06262d8057fc07a7976fc1d802d135895f3e8e | MATLAB | 6,564 | 174 | %WAVE_SIGNIF Significance testing for the 1D Wavelet transform WAVELET
%
% [SIGNIF,FFT_THEOR] = ...
% wave_signif(Y,DT,SCALE,SIGTEST,LAG1,SIGLVL,DOF,MOTHER,PARAM)
%
% INPUTS:
%
% Y = the time series, or, the VARIANCE of the time series.
% (If this is a single number, it is assumed to be the variance..... |
752ddd2ce1684d2c307dc05f99e435c2d4122b29b01c92e7ad8576be2ad29d62 | MATLAB | 6,568 | 139 | function [TCA2B, TCB2A] = fastTC(spike_matrix, lags)
%% by Mattia
% this version is like the cumulative one (not single bins) but does not
% need "sequential" values for lags, you don't give maxlag, but rather a
% series of lags
% inputs:
% spike_matrix: units * time
% lags: single lags at which you want the coeff t... |
30aba500984a389639d642430ca767c342a5a7c758c0ae48628c544b5ba2c1f7 | MATLAB | 6,569 | 167 |
function [antibody_density] = get_antibody_density(settings,pixel_size,roi_subfolder,roi_fname,images_all,pgon_GCL,pgon_hilus,DG_Hilus_line)
%% Set thresholds
% DCX
DCX_IHC_thr = 0.8; % IHC
DCX_IF_thr = 2.4; % IF
% BrdU
BrdU_IF_thr = 10; % IF
% NeuN
NeuN_IF_thr = 4; % IF
%%
% Create subfolder to s... |
0a9f8e681aaf5dfdeac3605a3a8b9cf4a832efe868466bfaea0f91bd3a800fd5 | MATLAB | 6,575 | 130 | function [lh_proj_data, rh_proj_data] = CBIG_ProjectMNI2fsaverage2(data, average, interp_type, lh_index_mat, rh_index_mat)
% Usage: [lh_proj_data, rh_proj_data] = CBIG_ProjectMNI2fsaverage2(data, average, interp_type, lh_index_mat, rh_index_mat)
%
% Warning! This function is obsolete. Please use CBIG_ProjectMNI2fsaver... |
27d3be175106abe1bae953755c721c2bbf9b1fa943428cf67d92d6b69c2f8be3 | MATLAB | 6,576 | 170 | function plotPatterns(config, MuseStruct)
% remove empty structs
MuseStruct = MuseStruct(~cellfun('isempty',MuseStruct));
MuseStruct_append = []; %rmfield(MuseStruct{1},'filenames');
MuseStruct_append.markers = [];
% adding next directories
for idir = 1 : size(MuseStruct,2)
fprintf('Working on directory %d of %d\... |
af4a7fbb5d59309ff8920247db331d342e6739c5a5351d7bbce82ebf3003fbd7 | MATLAB | 6,579 | 127 | function [dat, dat_hyp, trialinfo] = Trials2GrandAverage(cfg, force)
fname_out = fullfile(cfg{1}.datasavedir, 'Trials2GrandAverage.mat');
if exist(fname_out,'file') && force == false
fprintf('Loading results spikeTrialStats_GrandAverage\n');
% repeat to deal with load errors
count = 0;
err_count ... |
eff621b5dd006654686cf1ea66bdac992abdc92fb9884bf030df7f2f549f8f65 | MATLAB | 6,589 | 270 | function [W] = mc_undist_loop_wouter_fast(V)
nx=V.nx;
ny=V.ny;
tim1=V.im1';
tim2=V.im2';
mask_V2 = tim1;
mask_V2(V.tmask' <= 0) = NaN;
b00_best=0;
b01_best=0;
b02_best=0;
b10_best=0;
b11_best=0;
b20_best=0;
X = (1:nx)' * ones(1,ny);
cost_best = +inf;
adjustX_lin = (((1:nx)'-(nx+1)/2)/((nx+1)/2)) * ones(1,ny)... |
0d849d556e4e1d63aa8688de2102542a4e1311c3a3ea03b370dc0e40012cdc36 | MATLAB | 6,599 | 194 | function [y] = spm_int_sparse(P, M, U)
% integrates a MIMO bilinear system dx/dt = f(x,u) = A*x + B*x*u + Cu + D;
% FORMAT [y] = spm_int(P,M,U)
% P - model parameters
% M - model structure
% M.delays - sampling delays (s); a vector with a delay for each output
%
% U - input structure... |
69d83cc73d2b797fc98a4437c1e4208149c2ea37b5c2b7179fc61fea5bfc1863 | MATLAB | 6,605 | 177 | function ArgStruct=parseArgs(args,ArgStruct,varargin)
% Helper function for parsing varargin.
%
%
% ArgStruct=parseArgs(varargin,ArgStruct[,FlagtypeParams[,Aliases]])
%
% * ArgStruct is the structure full of named arguments with default values.
% * Flagtype params is params that don't require a value. (the value will b... |
f3c9ace8f481b614c931c2f89fb6a874d2e952f9cb83f526621f18d11e23afb6 | MATLAB | 6,607 | 150 | %% Stimulation micro analysis script
%
% (c) Stephen Whitmarsh, stephen.whitmarsh@gmail.com
% addpath /network/lustre/iss01/charpier/stephen.whitmarsh/WhitmarshEpilepsy/scottclowe-matlab-schemer-f8115af/ %https://github.com/scottclowe/matlab-schemer/blob/master/schemes/README.md#matlab-schemes
% schemer_import('/networ... |
816094984190a966c22f5e0799f40e74ce7ca62ed3b473dbb51b37a0b74b629e | MATLAB | 6,618 | 196 | clear
close
%% PLOTTING
diagram_path = './../Systems/Pyramid_astro_threshold_Is_impulse/impulse_extension_by_astrocyte/';
diagram_name = 'impulse_extension_by_astrocyte';
fig = figure;
tlo = tiledlayout(17,2,'TileSpacing','compact');
lwd = 0.4;
% Left (Theta = 0)
c1 = load(strcat(diagram_path, 'Impulse_Is_no_ast.ma... |
714315bf491ab68398d44cd106aee847ed2a6b6b629d134f2b34d45751ba0e3d | MATLAB | 6,628 | 209 | function [FinalData, TrialData] = TrialPETHTrace( Fs, Ts, Pre, Post, EventTS,Ch490,Ch405, varargin)
%Trial Analysis: This code will take inputs and create Photometry
%Raster-PETH. The Raster PETH is a Heat map. The PETH is really a line
%curve (not a histogram). The FinalData output will posses a number of
%columns... |
45f3600e325cba28f9ccc254bc8971596ab30df8254bf6ccf3443eea76a3b3f6 | MATLAB | 6,630 | 160 | %
patient_directory = '/Volumes/epimicro/Donnees-analyses/Stephen/2230 files with markers/';
directory_searchstring = '02230_*';
data_searchstring = '*m1*.ncs';
eventtype_start = 'P';
eventtype_end = 'P';
[P.clocktime,P.clocktime_append,P.sample,P.data,P.ldir,P.fdir] = extractMuseMarke... |
15bb0ef65bd15ec011d6c1171a7f5a3ecb2ec2f48011d64104d819f92bcf3ba3 | MATLAB | 6,636 | 238 | function ds = dsim(t,s,sim)
ds = zeros(max(size(s)),1);
for i=1:sim.n
idx = sim.per_neuron*(i-1);
v = s(idx+1);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Applied Current
if sim.istart{i}<t
ix = -sim.bias(i)-sim.iDC(i)*exp(-((t-sim.istart{i})/30));
else
ix = -sim.bias(i);
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Synapt... |
9c3784bf11fafc56b9574d9fca08b17a5a9967e553cb5985e9bf7bc627a175c8 | MATLAB | 6,657 | 211 | %% Gergely Tarcsay, 2025 Ewell lab. MATLAB script to recreate learning curve and performance (Figure 1)
close all
clearvars -except behavior_struct
cd("G:\Behavior only\")
if ~exist("behavior_struct", "var")
load BehaviorData
behavior_struct.details.GPassed(5) =behavior_struct.details.GPassed(5)-1; % co... |
c7d2db00f220ae3bdda47ba783ce5e4ac6fca90ec1a8e329bb1d43b049f9597e | MATLAB | 6,672 | 187 | clc; clearvars; close all
% load and define specific parameters
load("par.mat")
dt=0.001;
tau=98;
par.tspan = 0:dt:tau;
par.opts = odeset('RelTol',1e-6,'AbsTol',1e-8);
par.I0=0.2;
par.k=10;
par.je=0.5;
antag = 0.5; % suppression strength
stim = 0.5; %amplitude stim
stimB = 2.6; % baseline of sine wave for UCN3
baseline... |
f9f618756652c5beef3883625319d729a5c79aff6ca7b3e6db90840787331f08 | MATLAB | 6,687 | 255 | function [mask, thresh] = maskHeadPseudoHist(data_file, output_mask_file, if_aggresive)
% This function tries to detect head (including skull and skin) just based on
% intensity in a 3D volume. This function assumes that the head (or area of interest) and
% background have significant difference in their intensity valu... |
645524fa3e196f220fe3fe4e241b9f9dcb1f80386c36e10819669e9acea663f3 | MATLAB | 6,691 | 257 | function imp = copytoImagePlus(I,varargin)
% copytoImagePlus allows you to open an array I with an instance of ImageJ
% within MATLAB with a proper data type and hyperstack dimensions.
%
%
% SYNTAX
% imp = copytoImagePlus(I)
% imp = copytoImagePlus(I,dimorder)
% imp = copytoImagePlus(____,'Param',value)
%
%
... |
1169886c0caf7e6c45f64828d4d3c2c5d747d3a50ca1e63e50cabe06f1564e26 | MATLAB | 6,692 | 228 | function outpict = radgrad(s,point,radius,colors,varargin)
% RADGRAD(SIZE, POINT, RADIUS, COLORS, {METHOD}, {BREAKPOINTS}, {OUTCLASS}, {COLORTYPE})
% returns an image of specified size containing
% the multipoint radial gradient specified.
% gradient type is linear interpolated rgb
%
% SIZE is a 2... |
403ca04bd7213ab9daf0b70b1528bd399c5faec13bbc5beedaf8bba614d2d283 | MATLAB | 6,695 | 229 | function outpict = lingrad(s,points,colors,varargin)
% LINGRAD(SIZE, POINTS, COLORS, {METHOD}, {BREAKPOINTS}, {OUTCLASS}, {COLORTYPE})
% returns an image of specified size containing
% the multipoint linear gradient specified.
% gradient type is linear interpolated rgb
%
% SIZE is a 2-element vect... |
33ad747344fa8e4130cbb0410b8afbb131016e3396c3831da522282f17871be7 | MATLAB | 6,696 | 125 | function [artefacts] = writeSpykingCircus_deadfiles(cfg, MuseStruct, force)
% WRITESPYKINGCIRCUS_DEADFILES creates artefact files (deadtime) for
% SpykingCircus in data directories for spike analysis
%
% use as
% writeSpykingCircus_deadfiles(cfg, MuseStruct, force)
% This file is part of EpiCode, see
% http://www.g... |
4f802ac7604c3baaee098033043b40f549e429ede53ea11ed96b637e62d85d8d | MATLAB | 6,702 | 223 | %% Simple RL example for CPM
% In this example script, I will show how to set up functions and data for the CPM and provide a guide through the results etc.
% The scenario
% Suppose you have behavioral and neuroimaging data from a simple multi-arm bandit experiment and you are interested in how reward prediction errors... |
0381b9d6361d04ba490421cf9038078a85f049d97933c15ce7811af49f0443dc | MATLAB | 6,703 | 189 | function artifacts = gcmi_cpp_mex_compile(varargin)
p = inputParser;
p.addParameter('Targets', {}, @(x) iscell(x) || isstring(x) || ischar(x));
p.addParameter('Verbose', false, @(x) islogical(x) && isscalar(x));
p.parse(varargin{:});
opts = p.Results;
cfg = gcmi_cpp_mex_config();
if ischar(opts.Targets) || isstring(op... |
9adbe6954ebe4903c4677ff1084eca929d2e30a27c0aedd56faa7f0931b5fe48 | MATLAB | 6,706 | 222 | function [elec_handles,ei] = plot_ei_(ei, position, frame_number, varargin)
% PLOT_EI_ Plot a frame of an electrophysiological image
%
% frame_number==0 max(abs(ei))
%
% shlens@salk.edu 2006-07-17
% greschner new framework,
% uses raw ei,
% take full EI as input, if no framenumber is given or it's 0 -> produces ma... |
6080b8cf10c9a600cc10dccbb53be359abfcf6f4aba7139414a7f9c58eb041ce | MATLAB | 6,720 | 155 | % OPTIMALFIGURE Compute an optimal width/height for a figure comprised of a grid of plots.
%
% Optimal figure size for a given subplot aspect ratio. The shape
% information can be returned either as separate [numRows, numCols], or a
% single shape vector with two entries. If outerPosition is not requested... |
96b15811cd24166991b9d565780c8f3387c9012b7414766305fa8b21076bda20 | MATLAB | 6,720 | 184 | function [halfwidth, peaktrough, troughpeak, amplitude] = plot_morpho(cfg,data)
% Plot trials and average of trials + compute some parameters, see the
% following cfg inputs :
cfg.morpho = ft_getopt(cfg, 'morpho', []);
cfg.morpho.channame = ft_getopt(cfg.morpho, 'chann... |
a9a788ba5bf759b10cafda787bc6d6ba5b4bc9098d45be1f6f1009b616861fed | MATLAB | 6,724 | 175 | % Purpose of this script:
% The specified Excel file has a list of .mat files which store the outputs
% of the sparseness and correlation analysis from multiActivity, and a list
% of .txt files listing the original .tif files of the movies.
% This will go through all the .mat files and compile the sparseness and
% corr... |
8ecfceffade9cf56e0e6a6383823af5837714dda078ec04332b579806dd3e51c | MATLAB | 6,751 | 161 | %% CLUSTERPLOT Clusters data and plots each via bandplot separated by an offset.
%
% clusterplot(x, y, numClusters, probability = [0.05 0.95], yOffset = [], fractionPos = [x w h]);
% clusterplot(ax, ...);
% clusterplot([hLine,hBand,hBox,hFill], ...);
% clusterplot(..., kmeansOptions = {...}, lineOpti... |
61603e64073bea74be5c9f83ff24adfdf58f932cdac0f053ca0682eb7257d049 | MATLAB | 6,752 | 197 | spmdir = 'C:\Users\admin\Documents\MATLAB\spm12';
noisetooldir = 'C:\Users\admin\Documents\MATLAB\NoiseTools';
addpath(spmdir)
spm('Defaults','EEG')
addpath('C:\Users\admin\Documents\MATLAB\analysis')
datadir = 'D:\ES_data_Hannah\data';
for s = setdiff(1:31, 20);
% try
if s<10
subdir = fullfi... |
875aab2dfd9fea63fe349363f56403dd763c4653bed81e9fddbd70b6e32ead15 | MATLAB | 6,772 | 165 | function [classification, PC1,reachr_cell_idx] = Reachr_classification_AMR(SN_data, cluster_data_avg, rat, coeff, other_PCs, varargin)
%'Reachr_classification' writen by Ergi Spiro; edited by AMR.Only takes in one data structure compared to 'Reachr_classification'.
% arguments: SN_data - Signal-Noise Vectors; see... |
cfa4a7a3a51b7148348d58ad0f2316806dd41daae3215f14267dd2903380a235 | MATLAB | 6,783 | 146 | function plotMarkerOverview(MuseStruct)
%% concatinate marker directories
MuseStruct_append = rmfield(MuseStruct{1},'filenames');
% for first directory
mrknames = fieldnames(MuseStruct{1}.markers);
for imarker = 1 : numel(mrknames)
MuseStruct_append.markers.(mrknames{imarker}).sample = [];
if isfield(MuseStr... |
3518bc644bf148fee4ff3eafd63d7568ee317df4fb60b1c6e7db9fff3a088296 | MATLAB | 6,786 | 173 | %% Set parameters
if ispc
addpath \\lexport\iss01.charpier\analyses\lgi1\Git-Paul\fieldtrip;
addpath \\lexport\iss01.charpier\analyses\lgi1\Git-Paul\EpiCode\development
addpath (genpath('\\lexport\iss01.charpier\analyses\lgi1\Git-Paul\EpiCode\projects\dtx'));
addpath (genpath('\\lexport\iss01.charpier\a... |
fa6d648e76ca581eccf27e652ce603cbf11952f371cadf97bc8086da616060f6 | MATLAB | 6,794 | 258 |
addpath /network/lustre/iss01/charpier/stephen.whitmarsh/WhitmarshEpilepsy
datapath = '/network/lustre/iss01/epimicro/patients/raw';
outputdir = '/network/lustre/iss01/charpier/stephen.whitmarsh/data/qualitycheck';
dlist = dir(fullfile(outputdir,'*.mat'));
for ipatient = 1 : size(dlist,1)
fprintf('Loading %s..... |
375bdb77ad539b144ba330afef6dd7e27082639ac14954ebb00a58d2be6674ed | MATLAB | 6,818 | 146 | function walkerdots = mmComputePositions(mm, markers, periods, phases, azimuth, angvel, t, lintrans, speed, scrambleoption, walkersize, xcenterw, ycenterw,invert);
%DC: added input parameter "invert". If invert == 5, 6, switch x and z
%walkerdots = mmComputePositions(mm, markers, periods, phases, azimuth, angvel, t, ... |
9a235034289fb1a43e2955b6d1263ddab1ef97c78e0209bff7b77a37b0584f24 | MATLAB | 6,824 | 201 | %% BANDPLOT Plots the central value (mean) and confidence band for a given set of data
%
% [hLine, hBand] = bandplot(x, y, probability = normcdf([-1,1],0,1));
% [hLine, hBand] = bandplot(x, y, probability, color, alpha);
% [hLine, hBand] = bandplot(ax, ...);
% [hLine, hBand] = bandplot([hLine,hBand], ... |
738cfe5cf5113bd46fbc2ca55123ead64f409164309ee3c36589990dfe064c3c | MATLAB | 6,826 | 188 | % Load NIfTI / Analyze header without applying any appropriate affine
% geometric transform or voxel intensity scaling. It is equivalent to
% hdr field when using load_untouch_nii to load dataset. Support both
% *.nii and *.hdr file extension. If file extension is not provided,
% *.hdr will be used as default.
%
%... |
94c7f37d1ff45a8b61f539ec5378178659fc07dadf90119d238044e553b3a0df | MATLAB | 6,849 | 342 |
%%% Designed and Developed by Mohammad Dehghani and Pavel Trojovský %%%
function [lowerbound,upperbound,dimension,fitness] = fun_info(F)
switch F
case 'F1'
fitness = @F1;
lowerbound=-100;
upperbound=100;
dimension=30;
case 'F2'
fitness = @F2;
... |
0315785b102818f39fd142cef9aac6da7bc1c66e37fdd193f8e7cec9eb11ae02 | MATLAB | 6,865 | 257 | % Make NIfTI structure specified by an N-D matrix. Usually, N is 3 for
% 3D matrix [x y z], or 4 for 4D matrix with time series [x y z t].
% Optional parameters can also be included, such as: voxel_size,
% origin, datatype, and description.
%
% Once the NIfTI structure is made, it can be saved into NIfTI fil... |
a1bbc78b3012f45a1410e1f2a81127a4b57c301c1d52089048eb1c6fc809f9b0 | MATLAB | 6,865 | 146 |
%%
function [best_fitness, best_solution, Convergence_curve] = ESC(N, maxIter, lb, ub, dim,fobj)
% Initialize population
if max(size(lb)) == 1
lb = lb * ones(1, dim);
ub = ub * ones(1, dim);
end
population = repmat(lb, N, 1) + rand(N, dim) .* repmat((ub - lb), N, 1);
fitness = a... |
82ae3181ce9a67cf1efd80795d12beee90919938b63a89bc387cfff0a8cc7944 | MATLAB | 6,877 | 185 | function [svm_values] = spont_svm_characterization_fig3D(merged_output_array,merged_sz_parameters)
% On-Demand Seizures Facilitate Rapid Screening of Therapeutics for Epilepsy
% Authors: Yuzhang Chen, Brian Litt, Flavia Vitale, Hajime Takano
% DOI: https://doi.org/10.7554/eLife.101859
% Use Support Vector Machine to ... |
187b43dbd3f40e823806055389b92a461ffec9acf3274ed7920f5ea1d9cc6117 | MATLAB | 6,882 | 222 | % =========================================================================
% Title: Electrophysiology Regression & Longitudinal Modeling
%
% Author: Gabriele Mancini
% Date: 2025-12-10
%
% Description:
% 1. Loads LFP data (frequency corrected PSDs).
% 2. Performs subject-specific Z-score normalization against base... |
8b9827181370c33c43e5f0fb086ac7f149b04601f50edacbcfc0c43cff4bfe88 | MATLAB | 6,886 | 231 |
for ipatient = 1 : 8
[marker{ipatient}, hypnogram{ipatient}, hypmusestat{ipatient}] = hypnogramMuseStats(config{ipatient});
end
clear totaldur totalsum
hypTable = table;
mrkTable = table;
for ipatient = 1 : size(hypnogram, 2)
% plotting IEDs x Sleep stage for all marker (e.g. all templates)
for ipar... |
dc997582753d5c960c2d014baee95791f57d6e8ef29f21ed5fdd2caa0e057d59 | MATLAB | 6,891 | 119 | function X1D = gridSetting(data, options, Seed)
%set for each dim the stepN Xvalues adaptively
%function gridSetting(data,options)
% This tries to get equal steps in cummulated likelihood in the slice
% thorugh the Seed
% it evaluates at GridSetEval points from Xborders(:,1) to Xborders(:,2)
%Initialization
d = s... |
dcb0d976bdc67a1c0427aef4ad103ffc8dcd2edf17b0af132e1fa516d6f4075b | MATLAB | 6,899 | 202 | function [pixel_thresh,min_size,max_size,do_watershed,normalise_img, kernel, colormap] = get_biomarker_info_SAP(biomarker, biom_set_folder, fname)
%% Define detection threshold and analysis strategyfor each antibody
% @author: speressotti
% Threshold can be between 0 and 1, with smaller values corr... |
b3ec5c744e17c1a0fcee66e72edad2733e71f5d33281ceb544eb4fc59a1ec1de | MATLAB | 6,904 | 143 | classdef ConnectomeVisualizer
% ConnectomeVisualizer
% Static methods for visualizing connectome-related data structures.
methods (Static)
function [hAx,hIm] = plotConnectomeMatrixWithMask(connectionMatrixObj, crossRegionInfo,options)
% Plot the connection matrix with source and target... |
fc5205da3aedae4025486a113778faf2983e44298a1a544023b98dfa1337878b | MATLAB | 6,907 | 193 | % =========================================================================
% Title: Spectral Feature Extraction from Simulated LFP/EEG Signals
%
% Author: Gabriele Mancini
% Date: 2025-12-10
%
% Description:
% This script processes simulated neural data to extract periodic and
% aperiodic spectral features from LFP or... |
1cbdd98c2b2f84f9ae380682e4da570579071724820405f7b20874520b5adf8e | MATLAB | 6,911 | 169 | function [flag, m2, SE, Va, Ve, Lnew] = Morphometricity_1RandEffect(y, X, K, alg, tol, MaxIter)
verbal = 0;
% This function implements morphometricity.
% It fits a linear mixed effects model using the restricted maximum likelihood (ReML) algorithm,
% and produces the morphometricity estimate and its standard error.
... |
4677a57a848f1b478cba6016138ef3f3dbd9d5d2628dace269dfcec3442c2fbd | MATLAB | 6,930 | 204 | function [flag, m2_tot, se_tot, M2, SE, Vc, Lnew] = Morphometricity_NRandEffects(y, X, K, alg, tol, max_iter, verbal)
% This function implements morphometricity for multiple kernels.
% It fits a linear mixed effects model using the restricted maximum likelihood (ReML) algorithm,
% and produces morphometricity estim... |
84d4088713d7fee56b779d8c5ec473d3fbdcdf8f081e04465122b57beb4d921e | MATLAB | 6,941 | 193 | function [config] = Figure_FFT
set(0,'defaulttextinterpreter','none')
%% load data
for ipatient = 1:8
config = hspike_setparams;
config{ipatient}.FFT.name = {'window'};
config{ipatient}.FFT.postfix = {'_noWelch'};
FFT{ipatient} = FFTtrials(config{... |
60a6c1efe9be7432452811d2e7109d335aa7ee9310fc1fa4a730464456f992ce | MATLAB | 6,945 | 204 | function outpict = imdrag(inpict,varargin)
% IMDRAG(INPICT, ARGS)
% Select random vector segments within an image and replicate them perpendicular
% to their length. Blend replicated data with the original image and repeat the process,
% creating a smearing effect depending on blend parameters. S... |
ad023bd1ca40470a8c7c39645e831c15971082611ad655a8ab5fed47aa1b3348 | MATLAB | 6,952 | 201 | clc,clear all;close all;
%load the embedding
load('..\embedding\sub19.mat');
% Download MCCM_sub08.mat from https://zenodo.org/records/16907957 and put
% into the folder ./data/Inference/
load('../data/Inference\MCMC_sub8.mat');
load('mode_wake.mat');
load('mode_sleep.mat');
min_KL_idx = find(KL==min(KL));
min_KL_tr... |
6f0f8c606c58eb57e16499890857a33bd4c3dc82318c7f893103bb968aaac845 | MATLAB | 6,954 | 129 | function x_im = sample_exemplars(data_obj, opts)
% function x_im = sample_exemplars(data_obj, opts)
%
% Function to sample exemplars. Takes in a data object and a struct of
% algorithmic parameters and returns either a uniform sampling of the data
% or a sampling based on finding a sample set with low correlations bet... |
ef5d5be37087207fd06ff4089d7d43c7d954bc9cc2079dbf1a4fd34c36cad21a | MATLAB | 6,957 | 229 | % This script provides a tutorial application of the Gaussian-Copula Mutual
% Information (GCMI) estimator with a continuous auditory stimulus feature
% (low pass filtered speech envelope) in a continuous design
% This script uses cell mode - cells are delimited by %% lines and can
% be run with:
% ctrl-enter (wi... |
5deefdf10fe9ce4c14dc1f080415dec46f213828859e4077e979bf77600d9fed | MATLAB | 6,967 | 183 | % =========================================================================
% Title: DATA INTEGRATION & NORMALIZATION SCRIPT
%
% Author: Gabriele Mancini
% Date: 2025-12-10
%
% Description:
% Loads Multi-Unit Activity (MUA) and Spectral Feature (LFP) data.
% Performs data cleaning, channel selection, Z-score normaliz... |
b500126ad5bd914f93b010c6b3e5c6274f86478ade4c00289afd4473ff5c808e | MATLAB | 6,975 | 227 |
clear totaldur totalsum
hypTable = table;
mrkTable = table;
for ipatient = 1 : size(hypnogram, 2)
% plotting IEDs x Sleep stage for all marker (e.g. all templates)
for ipart = unique(hypnogram{ipatient}.part)'
for i = 0 : 4
totaldur(ipatient, ipart, i+1) = seconds(sum(hypnog... |
adbc3aedba89a87f77e3a2b191ca6988cc66ee6d8c2411b5daff42c4991dc7c5 | MATLAB | 6,977 | 187 | function emg_infos = dtx_stats_emg_timings(cfg, MuseStruct_concat,ipart)
% computes some descriptive stats on EMG data
% ## INPUT :
% - cfg :
%mandatory :
% cfg.seizuretimings.marker_start
% cfg.seizuretimings.winsize
% cfg.seizuretimings.winstep
%
% Optional :
% cfg.seizuretimings.marker_end
% cfg.... |
1a45bbd082de9d07bb0b5f1513f77c5de6cdd3a11fd25a459f71c85c7d102314 | MATLAB | 6,978 | 171 | function [vertex_label, colortable] = CBIG_read_annotation(annot_file)
% [vertex_label, colortable] = CBIG_read_annotation(annot_file)
%
% This function takes in a .annot file and converts it to a Nx1 column
% vector vertex_label where N is the number of vertices. The colortable
% struct from the original read_annota... |
819071d6dce541235cff68365a2670adc51c5f9be3bc53d725f85ce86db973fe | MATLAB | 6,991 | 158 | function output = CBIG_Projectfsaverage2MNI(lh_surf, rh_surf, MNI_mask, index_volume, delimiter)
% Usage: output = CBIG_Projectfsaverage2MNI(lh_surf, rh_surf, MNI_mask, index_volume, delimiter)
%
% Warning! This function is obsolete. Please use CBIG_Projectfsaverage2MNI_Ants instead.
%
% Function projects surface data... |
1e6d53dde8b49f2c47555ba90410af36118b942f00958bdd4e6fb72ad703f87a | MATLAB | 6,999 | 110 | function ReconMPM(connection)
disp("Matlab MPM Recon launched...")
recon_type = 'MORSE' ; % 'MORSE' or 'ESPIRiT', 'ESPIRiT' recquires installation of the Berkeley Advanced Reconstruction Toolbox (BART) toolbox
disp(['Reconstructing with ', recon_type]);
% Hard-coded reconstruction parameters:
global onlineROFT scaleKs... |
6460efdec854e61bcc1d09e6890784934f6bac5f33175edc5f03ef2f8fafe6df | MATLAB | 7,015 | 247 | %% Cluster-based permutation test - Example
function [Sig, stat] = CBP_CTG(data, opt)
%%
numSub = size(data,3);
numT = size(data,2);
numF = size(data,1);
for i = 1:numSub
Data(i,1,:,:) = data(:,:,i);
end
switch opt
case 'Base'
zero = zeros(numSub, 1, numF, numT);
case 'Binary'
... |
da7ccd980fb146b535795c99dec3f85d687758995d6d9dd99454899f61443274 | MATLAB | 7,037 | 172 | function [allData_final] = get_finalResults(save_path,method_comb)
%%% Summarise final data - V2 (MGG) %%%%
%% Combine all data in a single table and generate results
% Find mat files for each dataset
files = dir(fullfile(save_path,'*.mat'));
% Remove files ending in '._' for MAC
for i = 1:length(files)
... |
ebad322e33054e3b0887a170a5d334f1ac06ebfc905534065f0797bbb2d6f17f | MATLAB | 7,049 | 261 | function [header] = deserialize(xmlstring)
%DESERIALIZE Summary of this function goes here
% Detailed explanation goes here
% Get a parser
db = javax.xml.parsers.DocumentBuilderFactory.newInstance().newDocumentBuilder();
% Turn the string into a stream
isrc = org.xml.sax.InputSource();
isrc.setC... |
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