sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
78ef6ff2339fc458276ba7f58e4c9b6f857def443b53feb9ad219c497da4b307 | MATLAB | 4,291 | 102 | function ORDERnum=bsliang_gainORDERnum(PARnum)
% Ô±¾°²ÅŵÄÊÇ48¸ö±»ÊÔ£¬Òò´Ë±»ÊÔʵÑé˳ÐòµÄƽºâÒ²ÊÇ°´×ÅÕâ¸öÀ´µÄ¡£
%µ«ÊÇÊÂʵÉϱ»ÊÔ¿ÉÄÜ»ò¶à»òÉÙ£¬Òò´ËÕæÕýʵÑéµÄʱºòÿ¸ö±»ÊÔ¶¼ÓÐÒ»¸ö×Ô¼ºµÄ±»ÊÔ±àºÅ
%£¨¸úµÚÒ»´ÎʵÑéÒ»Ñù£©£¬Í¬Ê±ÓÐÒ»¸öORDER±àºÅÓÃÀ´È·¶¨±»ÊÔ×öʵÑéµÄblock˳Ðò¡£ORDER±àºÅÊÇ¿ÉÒÔÖظ´µÄ¡£
% tranMAT=[1:47;2:48]';
t... |
7d1826ac640bc43168bdc028166fd0399ea45e30cba47b8251c304f475fcb5dc | MATLAB | 4,308 | 122 | function plot_structured_prediction_visual(app)
%we gotta do this for this one idk why Darik 5/9/2022
cla(app.model_evaluation);
v=app.StimulusEM.Value;
params = app.params;
LL = app.log_likelihood_by_frame(size(params.data,2)+v,:); %grab framewise likelihood
Thresh = app.model_performance.full_performance.thr{v}; %gr... |
f8d30f5fd7c758af5fd86d4ec5499a06dd14265bf235188db7799e8d61a39ffb | MATLAB | 4,315 | 111 | function [M_U,err] = contCon2LaggedCovProjected(C,s,symmetric,maxi,tol,verbose)
%
% This code computes the projected lagged covariance matrix for the contimous-time
% Ornstein-Uhlenbeck case after time s, assuming starting from no
% correlation at time 0.
% The code converts con2lcov from ncomp from Barnett et al to ha... |
d0de07392e74060f54ec41b32c9e0879a212b5bbe45deca4de9ca0fae1ca2faf | MATLAB | 4,324 | 118 | function [X,T,Gamma] = simhmmmar(T,hmm,Gamma,nrep,sim_state_tcs_only,grouping)
%
% Simulate data from the HMM-MAR
%
% INPUTS:
%
% T Number of time points for each time series
% hmm hmm structure with options specified in hmm.train
% Gamma State courses - leave these... |
330d4b280e16f0e809dc0eab14a7bc0571a57cb20e078973df627a4cd061c0ff | MATLAB | 4,335 | 79 | function zef = zef_set_figure_tool_sliders(zef, varargin)
set_mode = 1;
if not(isempty(varargin))
set_mode = varargin{1};
end
if eval('isfield(zef,''h_axes1'');')
if isvalid(eval('zef.h_axes1'))
if set_mode == 0
eval('zef.h_update_colormap.Value = zef.inv_colormap;');
eval('... |
0a885ae10297564b613ab628f4aa91c8c2beeb89ca7a16341072092dc259fccc | MATLAB | 4,338 | 138 | function [FrEn,avLL] = evalfreeenergylogistic(T,Gamma,Xi,hmm,residuals,XX,todo)
% Computes the Free Energy of an HMM depending on observation model
%
% INPUT
% X observations
% T length of series
% Gamma probability of states conditioned on data
% Xi joint probability of past and ... |
5bc5bece0373c75e6cc8ec427e598ef9133f753cdb112911a767bc166cb3bff9 | MATLAB | 4,345 | 169 | function [nodes, faces] = read_ascii_segmentation_file ( fname )
%
% read_ascii_segmentation_file ( fname )
%
% Reads in a segmentation file line by line and extracts the information from
% within it. Throws an exception if the given file does not conform to the
% expected format.
%
% Inputs:
%
% - fname
%
% The fil... |
59a4cb43011dfb7ec43e6bf5fb0beca317381c347d69879916b781887383bb7b | MATLAB | 4,354 | 124 | function obj = stats_complexity(obj,Ntransitions)
% Calculate microstate transition complexity
% 2nd input (Ntransitions):
% -1: use full sequence instead of transitioning sequence
% 0: use all transitions
% integer > 0: use this number of transitions
% Check 2nd input
if nargin <... |
484a652d3c4bf3f46fdddb0e8687c806f76ca58e20d8ac41fa0722e8ae924087 | MATLAB | 4,364 | 157 | function [X, meta] = nrrdread(filename)
%NRRDREAD Import NRRD imagery and metadata.
% [X, META] = NRRDREAD(FILENAME) reads the image volume and associated
% metadata from the NRRD-format file specified by FILENAME.
%
% Current limitations/caveats:
% * "Block" datatype is not supported.
% * Only tested... |
b3799ad473a09d500544426583a5485f9ae83a7aead9fa861084ce45db609e50 | MATLAB | 4,369 | 134 | function [b_coord, det] = zef_volume_barycentric(nodes,tetra,p_ind,det)
%
% zef_volume_barycentric
%
% TODO: Sampsa should document this.
%
% Inputs:
%
% - nodes
%
% TODO: explanation.
%
% - tetra
%
% TODO: explanation.
%
% - p_ind
%
% TODO: explanation.
%
% - det
%
% TODO: explanation.
%
% Outputs:
%
% - b_coo... |
356a9d99ead0b4d3e0b94deedfb17369220021273c2cd486cfdd8f5f1875b536 | MATLAB | 4,391 | 152 | % script to illustrate data import for animal EEG files
% exampel uses edf files genrated by SleepSign software
% data has multiple channels per file
clearvars;
% set directories
data_dir = 'mydatadir';
write_dir = 'myresultsdir';
channel_labels = {'F', 'P'}; % F = frontal, P = parietal
fn0 =dir([data_dir '*.... |
c3e5721cc8e91203e2e06907baaad2dd55c6e755349419bffc7ea4e771b4aba6 | MATLAB | 4,394 | 106 | function [inmat_s_rm_sp_rlr,inmat_s_rm,GEN_subj]=bsliang_norm_lr_out(TDATA,inmat,LT_ind,GEN_ind,outTag,is_rmsd,is_abs,is_norm)
% is_rmsd: ÊÇ·ñÈ¥³ý3SD
% ±ê×¼»¯£¨¡÷TMS=(rTMS-Sham)/|Sham|£©£¬·ÖlarynxºÍtongue£¬Êä³öSPSS¸ñʽ
% inmat£º block(4)*turn(5)*subj(197)
% LT_ind£ºLarynx Tongue index
% outTag£ºÊä³öÓÃÓÚSPSS... |
f1ffc05a5b047a4debb537df3a443554edf763dff1cf722f00598a9d46bde779 | MATLAB | 4,397 | 124 | function D = hmm_kl (hmm_p,hmm_q)
% Computes Kullback-Leibler divergence between two Hidden Markov Model
% distributions, through an approximation (an upper bound) as proposed in
% M. Do (2003). IEEE Signal Processing Letters 10
%
% Author: Diego Vidaurre, OHBA, University of Oxford (2018)
K = length(hmm_p.Pi);
if K~=... |
c065a8a3a6c9d70d99040a6f885c4c4f4252a9130f41419096fdc7c599715eb6 | MATLAB | 4,399 | 134 | %%
%
% RUN CONVERT TO INDIE after dFoF0! aCa4a_convert2indie
%
% choose a file or 0 for all files in directory
path=uigetdir("C:\Users\defazio\Documents\data\processed\individual");
%path="C:\Users\defazio\Documents\data\processed\individual";
%path="\\umms-smoenter-win.turbo.storage.umich.edu\umms-smoenter\defazio tu... |
a8d9ac655dd125e6bfb422a617d46b130077bd9802ead6f53591bcca4aa59742 | MATLAB | 4,408 | 94 | function hmm = updateSigma(hmm)
K = length(hmm.state); ndim = hmm.train.ndim;
if isfield(hmm.train,'B'), Q = size(hmm.train.B,2);
else Q = ndim; end
if Q==1, return; end
setstateoptions;
for k=1:K
if ~hmm.train.active(k), continue; end
if isempty(orders) || train.uniqueAR || ~isempty(train.prior), continue; e... |
b8ffda4c09fe83f40ed453538d7f4c9b3d78686502bbdb1ad179f0aad39cdeca | MATLAB | 4,412 | 122 | function sFigETOM = ETO_genMonitor(sTrPar,dblMaxT,intMaxF)
%check inputs
if ~exist('dblMaxT','var') || isempty(dblMaxT)
dblMaxT = sTrPar.dblTotDurSecs;
end
if ~exist('intMaxF','var') || isempty(intMaxF)
intMaxF = sTrPar.intAllFrames;
end
%set size
dblHeight = 600;
dblWidth = 1000;
vecMainColor = [0.97 ... |
934cb5c9f8133553971e321f7d1cadf1cabaca9393428b2490cf9c353e6c3b82 | MATLAB | 4,437 | 139 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function [johtavuus,brain_ind,non_source_ind,nodes,tetra,johtavuus_prisms,prisms,submesh_ind] = zef_sigma(void)
tetra = [];
prisms = [];
johtavuus_prisms = [];
non_source_ind = [];
optimizer_flag = 1... |
489cd53bdf54fdd109e616cec65a8d4db62ff062787a7e73a6d908642061fd10 | MATLAB | 4,439 | 209 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
if not(isfield(zef,'streamline_draw'))
zef.streamline_draw = 0;
end
if not(isfield(zef,'streamline_linestyle'));
zef.streamline_linestyle = '-';
end
if not(isfield(zef,'smoothing_steps_ele')... |
53b1f5e7ec0a3b2a9e0bf045b6fbcb45b6b87458c910bf865d82cba57f8b9b8c | MATLAB | 4,445 | 143 | function plot_hmmspectra (spectra,err,coh,figure_number,colmap,channels)
% Plot PSD and Coherence or PDC for all states
%
% INPUT
% spectra: estimation from hmmspectramt or hmmspectramar
% err: whether or not to show confidence intervals (only if they were computed)
% coh: show coherence or PDC (latter only if it were ... |
2b6ddb0a046e6c2a5ffe79bb2148f304c8189e1127cbf1478c786a58f9066973 | MATLAB | 4,464 | 155 | function h_surf = zef_plot_disk(position,radius,width,ori,k,color)
h_axes = gca;
hold_state = ishold(h_axes);
if not(hold_state)
hold on;
end
%make sure ori is column vector
z = ori(:)/norm(ori);
if isequal(abs(z),[0 0 1]')
x = [1 0 0]';
else
x = 1/sqrt(z(1)^2+z(2)^2)* [z(2) -z(1)... |
4c61604a6428d635b86a31ad4298c1b2ec83820f63362a4771241c051e5aafc0 | MATLAB | 4,480 | 124 |
%--------------------------------------------------------------------------------
% fig3_video_output.m
%
% This analysis is included in
% Experimental validation of the free-energy principle with in vitro neural networks
% Takuya Isomura, Kiyoshi Kotani, Yasuhiko Jimbo, Karl Friston
%
% Copyright (C) 2022 Takuya Isom... |
a396cc25694545d7da10cbdc1c6b48d0bd8ac3389e5eabea8fff401bdb93bf4b | MATLAB | 4,482 | 135 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function zef_import_project(file_name, folder_name)
void = [];
if nargin < 2
[file_name folder_name] = uigetfile({'*.zef'},'Project ASCII data file and folder',evalin('base','zef.save_file_path')... |
c9cfa634a1a50f4372053b4ce82850871173e14d547ef374ddce2baed0ceefd3 | MATLAB | 4,484 | 106 | function [IMAGE,LABEL] = fun_generate_grayCIFAR10(redim,numTrain)
%% load cifar
IMAGE = cell(1,3);
LABEL = cell(1,3);
array_num_train = [numTrain];
%=========================================================================
imsetTrain = imageSet('DATASET_ori\CIFAR10\cifar10Train','recursive');
x_dim = 32; y_... |
3dc474daa9e36c11d1ba19aa8ad07826e7c4c2a6187e413cad83e2d6e59a8e53 | MATLAB | 4,497 | 154 | function post_info = estimate_posterior_state(...
state,spike_state,overlap,Data)
% --- spike estimation based on posterior for overlap window
% post_info = estimated_post_state(state,spike_state,overlap,Data)
% --- Estimated spike info for overlap window
% post_info.spike_num(n) = estimated spike number of... |
d2d940bad061d2909ff946ffaee5830bff5171156dd3c4039e9092dc7569cf8d | MATLAB | 4,502 | 139 | function [L,n_interp, procFile] = zef_processLeadfields(zef)
%zef_processLeadfields processes the leadfield in zef and applies all
%visibility options.
%L is the leadfield, the procFile has all information needed for the
%postProcessing step, but should not be needed in the inverse method
source_direction_mode = [];
if... |
5e9c678f4b77ef4dc4fa8d3d370dd3dbae01cec8ee5f86d8886d079d34477eb5 | MATLAB | 4,514 | 177 | function [Model, train_info] = train_shape(data, parm)
% training shape parameter using training data
% [Model] = train_shape(data, parm)
%
% data.y = observed spike data with noise
% data.t = sample time [sec]
% data.fs = sampling rate for observed data [Hz]
% data.spike_time = time of spike onset [sec]... |
6fc41ddb45718b9d22aba61bb219090e964865929621cea0fc0c2ef86975f752 | MATLAB | 4,520 | 126 | function trls = define_trials(obj,varargin) ;
% Segment a single dataset into trials based on either a fixed length or stimulus times.
% Useage:
% ms = ms.define_trials(epoch_length) ; % splits into trials of length
% epoch_length with no overlap
%
% ms = ms.define_trials(epoch_length,overlap) ; % splits into trial... |
2da78d4dbd17f37defd5b06e0cb356d60332c48720cf55e76ad859be37e19a8c | MATLAB | 4,525 | 131 | % This is a template script that specifies the usual options for a handful
% of data modalities, runs the HMM-MAR, and obtains some basic information
% from the estimation (mainly, the spectral information of the states).
%
% This script is just a starting point, and does not guarantee to be the best
% configuration f... |
b68b40503a7fbe30f4bde2d90ca08e6423114498262d80250f26cdc5e1c3c762 | MATLAB | 4,535 | 121 | function egrad = getEuclideanGradient(problem, x, storedb, key)
% Computes the Euclidean gradient of the cost function at x.
%
% function egrad = getEuclideanGradient(problem, x)
% function egrad = getEuclideanGradient(problem, x, storedb)
% function egrad = getEuclideanGradient(problem, x, storedb, key)
%
% Returns th... |
bd163006f9882c8f3275706076ddf32bf8ec1b62e52763c869ed577a49b2b7da | MATLAB | 4,536 | 122 | %Script for updating edit field of GMM system.
zef_n=0;
if isfield(zef.GMM,'apps')
if isvalid(zef.GMM.apps.main)
%_ Main app _
zef_props = properties(zef.GMM.apps.main);
for zef_i = 2:length(zef_props)
if strcmp(zef.GMM.apps.main.(zef_props{zef_i-1}).Type,'uilabel')
zef_n=zef_n+1;
if ~isempty(ze... |
a0ff6ad43ec629c164fa2895533e9221151632f17eaf5d760882dd4ea0632ab1 | MATLAB | 4,539 | 92 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function h_source = zef_plot_source(source_type)
arrow_scale = 1;
arrow_type = 1;
arrow_color = 0.5*[1 1 1];
arrow_shape = 10;
arrow_length = 1;
arrow_head_size = 2;
arrow_n_polygons = 100;
if source... |
88d7d6e18e9318deda4b17eb21b864a70f672f4b38bfd0f013d125ef8cc3a0cf | MATLAB | 4,544 | 162 | function post_info = estimate_posterior_prob(...
state,spike_state,overlap,Data)
% --- spike estimation based on posterior for overlap window
% post_info = estimated_post_state(state,spike_state,overlap,Data)
% --- Estimated spike info for overlap window
% post_info.Pspike(ns,n) = P(ns | yk) of n-th overlap ... |
cabb2f17b2dea0551d3924ceaff0a6641c0bee3bf2a858acf67aee5fdad914a1 | MATLAB | 4,546 | 149 | clcl
files={''};%
limtrials=5;
converts=[2 3 5 4 1 8 6 7]; % this is 0degrees to 155 in steps
for file=1:size(files,1);
load(strcat('CA_workspace_SORTED_',files{file}),'dfofanalyse','stimvistypeMAIN','phases');
dat=dfofanalyse(:,phases==1);
stim=stimvistypeMAIN(:,phases==1);
dat=dat(:,12... |
bb64f845fa7d268c5d2be8e561a89b602480d7359fa68e3e25245d270ad0cf90 | MATLAB | 4,567 | 107 | function [UcovarianceU,err] = contCon2CovProjected(C,useSymmetricForm,maxi,tol,verbose)
%
% This code computes the projected covariance matrix for the contimous-time
% Ornstein-Uhlenbeck case.
% The code converts con2cov from ncomp from Barnett et al to handle
% the projection of the covariance matrix orthogonal to th... |
40f6c34b6513c30ecca0c00b699c910597f0ce1e11ecefb9efb4d236464b2d0f | MATLAB | 4,581 | 168 | function zef_rebuild_source_tree(treeObj, treeStruct)
%ZEF_REBUILD_CHECKBOXTREE Rebuild a uitree / checkboxtree from a struct.
% If treeObj supports CheckedNodes (checkboxtree), restores CheckedNodes
% from UserData.CheckedIndex/IsChecked.
% Otherwise, if treeObj supports SelectedNodes (plain uitree), restores
% ... |
69ea0e313c58578bbdbc03d5eedfed10f80d83f194c9a1bd0bdf6c6d4f0b5a33 | MATLAB | 4,610 | 138 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function zef = zef_load(zef,file_name,path_name)
if nargin == 0
zef = evalin('base','zef');
end
zef_data = struct;
if nargin < 3
if not(isempty(zef.save_file_path)) && not(isequal(zef.save_f... |
6f4c096b894c80c90d62a4f01e1e3df0301770335996a8e46e29129afdea1c7b | MATLAB | 4,610 | 67 | zef_data = zef_eit_sensitivity_tool;
if not(isfield(zef,'eit_sensitivity_tool_file'))
zef.eit_sensitivity_tool_file = '';
end
if not(isfield(zef,'eit_sensitivity_tool_file_2'))
zef.eit_sensitivity_tool_file_2 = '';
end
if not(isfield(zef,'eit_sensitivity_tool_active'))
zef.eit_sensitivity_tool_active = 0... |
1091224074b14e35ed8f5ab05081662f010fb24764c0b97ff95257201740a823 | MATLAB | 4,613 | 128 | function [Spindles] = detect_spindles_Walker(signals,OPTIONS)
% signals.data is a Ntrials x Ntime
% signas.fs is the sampling rate
% OPTIONS_SLEEP contains the parameters for the SSW detection
% output:
% marker------------ .delimiters : table N1(start) N2(end)
fprintf('\n\n\tSpindle detector (Walker)');
fs = sig... |
c83763f4075a8b506a4b19eda1e5d51991a32e5f524c55c575bb47a3e6314c08 | MATLAB | 4,617 | 120 | %% Nat Comms Ictogenesis Figure S2
clear
load('20230710_StimPower');
%% Plot 5/1020/Hz recording sequence by days from injection
HZ = [5 10 20];
% Create matrix Mouse x Day
maxDay = max(rectable_full.DaysFromInjection);
HzMatrix = zeros(numel(MOUSE),maxDay+7);
for mm = 1:numel(MOUSE)
for hh = 1:n... |
371b051b4d90ed3689214dba4b090800ffd204b7ef5fc12e21adc53806e4b25f | MATLAB | 4,656 | 111 | function [UcovarianceU,err] = discreteCon2CovProjected(C,useSymmetricForm,maxi,tol,verbose)
%
% This code computes the projected covariance matrix for the discrete-time
% case.
% The code converts con2cov from ncomp from Barnett et al to the discrete case
% and for the projection.
% See reference for the Barnett code... |
9ff9e02716d461abec958cf4d691e8e9011c0f2ab22fa88e59c0f3e14b0acc62 | MATLAB | 4,658 | 131 | function [compartment_settings, surface_meshes, zef] = zef_bst_create_compartment_data(settings_file_name, zef_bst, zef)
mesh_file_ind = 0;
compartment_types = cell(0);
A = diag(4);
if isfield(zef_bst,'subject_struct')
if length(fieldnames(zef_bst.subject_struct)) > 0
subject_struct = zef_bst.subject_stru... |
c86ed589ee44f073ba92810b29aa244880c38a23001cebec1b7ce427880bc01f | MATLAB | 4,658 | 125 | function events = custardWrapper3( timing, fluo_matrix, params_in, run_params_fields, detailed )
% version 3 adapted for multiple runs on the same data
% expects params in seconds, converts to points based on timing
% params_in contains multiple sets of custard parameters
% all inputs in real units, converted to poi... |
89652595b70aa18924dc56f4a01fb70c8a371512f7246ee6fcc1a227dbaf587c | MATLAB | 4,674 | 143 | function result = makegridcellkernel(L,P,kv,opt)
% MAKEGRIDCELLKERNEL Initialize a low-rank spatial frequency space kernel
% for gric cells.
% result = MAKEGRIDCELLKERNEL(L,P,V,OPT) Will prepare a periodic
% grid-cell Gaussian-process kernel for an L×L size grid, with period P
% (in pixels) and prior marginal v... |
35324b7f7f0d989bd96b35aa969c38a007f498913c0d59866561f77c961bde8d | MATLAB | 4,698 | 171 | function [z, info] = zef_find_mne_reconstruction(zef,data_mode)
if nargin < 2
data_mode = 'filtered';
end
inverse_gamma_ind = [1:4];
gamma_ind = [5:10];
h = zef_waitbar(0,1,['MNE Reconstruction.']);
[procFile.s_ind_1] = unique(eval('zef.source_interpolation_ind{1}'));
n_interp = length(procFile.s_ind_1);
pm_val ... |
cfed587ce1cc7f72924354fb3139227d479bd369de5ea2c33325fcc4f25c0789 | MATLAB | 4,701 | 151 | function [pvals,pvalsFWE,pvalmat] = permtestmass_NPC(Yin,Xin,Nperm,Perms,conf,...
groupingYin,groupingXin,verbose)
%
% It tests each replication (column) of Yin vs each variable (column) of Xin,
% combining the tests across replications such that we have an aggregated
% final p-value as well as specific p-value... |
e8ec3a77b7011d5ae047b32a7095593af640b928cc19027c5ba6966fee7ff542 | MATLAB | 4,705 | 121 | function fcoefs=MakeERBFilters(fs,numChannels,lowFreq,width)
% function [fcoefs]=MakeERBFilters(fs,numChannels,lowFreq)
% This function computes the filter coefficients for a bank of
% Gammatone filters. These filters were defined by Patterson and
% Holdworth for simulating the cochlea.
%
% The result is returned... |
5a5ff01683f93b866cfab942d38a740692371f40899cda0b66d400d81cb87323 | MATLAB | 4,712 | 135 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function [z,reconstruction_information] = zef_sl1_iteration(zef)
inverse_gamma_ind = [1:4];
gamma_ind = [5:10];
h = zef_waitbar(0,1,['Standardized L1 MAP iteration.']);
[s_ind_1] = unique(eval('zef.so... |
cf891a24625a07b88d8f785d7ad4ab689dac1a098539c1321faeebed800ab110 | MATLAB | 4,718 | 111 | %% Sample script to set up the parameters object.
% You can not only assign values here, but have differential processing
% (e.g. to do different things on your desktop or cluster).
% Required members are described as they appear below.
%
%% Linear Sync Toolkit (linsync)
% Copyright (C) 2023 Joseph T. Lizier
% Distribu... |
207f6e6d777e93a16e1f4db48f61a5af0bf90a4439922d0a6376bece7c7b6ae1 | MATLAB | 4,720 | 108 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function zef = zef_init_ias_roi(zef)
zef = zef_ias_map_estimation_roi_window(zef);
set(zef.h_iasroi_map_estimation,'Position',[ 0.5764 0.2944 0.15 0.50]);
set(zef.h_iasroi_map_estimation,'N... |
8ea9b7f059bcaba946d47ca07fb30d5d8644425d9444a36cb80d35eed94b6f5c | MATLAB | 4,724 | 51 | %Copyright © 2021- Sampsa Pursiainen & GPU-ToRRe-3D Development Team
%See: https://github.com/sampsapursiainen/GPU-Torre-3D
function [mh_vec, d_mh_vec, d_2_mh_vec] = mh_window(t, T, carrier_cycles_per_pulse_cycle,carrier_mode)
ones_vec = ones(size(t));
T_ind = find(t>T);
ones_vec(T_ind) = 0;
T_ind = find(t<0);
ones_... |
b795d8be22ee79628b0ad45ac2429b0d0ab47fcbe46361292daaa99b20fecfb0 | MATLAB | 4,725 | 142 | function [plv,powercorr] = hmmplv(data, T, Gamma, options)
% Computes the state-wise Phase Locking Value (PLV) for (time X numChannels) data
%
% Input parameters:
% data is a numTimePoints x numChannels x numTimePoints data matrix
% options must contain
% .Fs is the sampling rate
% .fpass specifies the ... |
4d979f9744081032df3369dcad3d4ad9333558af63864d5938bd228c2e7074dd | MATLAB | 4,732 | 161 | function [p,confusionmat,nets] = networks_wpli(obj,frq,keepstates,epochlength,staticflag) ;
% Calculate microstate segmented functional connectivity
% check we have GFP, maps, and labels
if isempty(obj.data)
error('Data is required to calculate microstate networks')
end
if isempty(obj.l... |
c26d16e2bcaa08d9190dd5185d5b59d22ca96991dd60c6f22dba115fc1927949 | MATLAB | 4,738 | 120 | %%
zef = zef_KalmanDemo_create_measurement();
%%
zef = zef_KalmanDemo_runKalman(zef);
%%
%zef = zef_KalmanDemo_save(zef);
%% Visualization
%(!!!) Under maintenance (!!!)
%zef = zef_Kalman_visualization(project_struct);
%%
function project_struct = zef_KalmanDemo_runKalman(project_struct)
% How to use kalman withou... |
df961ae34dc8710c2fae2a08fd7500716b0395ec6786c5d244beb18bd2670fe2 | MATLAB | 4,747 | 178 | function [UI,Q,iter_outer,iter_inner] = admUI_accn(Psy, Psz, accu, g)
% admUI_accn adds acceleration capabilities to the original admUI for the I-projection step.
% Currently the default acceleration is tested only for the case when S and either Y or Z is binary-valued.
% The plain admUI is obtained for gamma=1, eps =... |
b36345ea4d6e229970be4baeae7141e0ec4468eea39c4ab86d11abfbed114aa5 | MATLAB | 4,749 | 224 | load('postprandial_somnolence_fEI_ratio_beta.mat')
load('EEG')
new2old_index=[1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
21
22
23
24
25
26
27
28
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
29
20];
EEG = pop_l... |
ce60d800590a71c842a6b6334a3efc98a7f758db9e66266ce7649f2bcb436d7b | MATLAB | 4,757 | 129 | function [vertices, label, colortable] = Read_Brain_Annotation(filename)
% [vertices, label, colortable] = Read_Brain_Annotation(annotfilename.annot)
%
% vertices expected to be simply from 0 to number of vertices - 1;
% label is the vector of annotation
%
% colortable is empty struct if not embedded in .annot. Else, i... |
c51ca75c054c0ca9f72caea1df57e88bcfea0d3a86a9f0f926c7c8ff0dce8618 | MATLAB | 4,758 | 102 | classdef SolverSGDM_conv3 < nnet.internal.cnn.solver.Solver
% ====================================================
% dir = C:\Program Files\MATLAB\R2019a\toolbox\nnet\cnn\+nnet\+internal\+cnn\+solver
% ====================================================
% SolverSGDM Stochastic gradien... |
c986f9f3d8dc16c953d892080ea90f420099b415a00dd06a9dc6e1b7ef54ee60 | MATLAB | 4,758 | 102 | classdef SolverSGDM_conv3 < nnet.internal.cnn.solver.Solver
% ====================================================
% dir = C:\Program Files\MATLAB\R2019b\toolbox\nnet\cnn\+nnet\+internal\+cnn\+solver
% ====================================================
% SolverSGDM Stochastic gradien... |
75243083ffa5521fa49d6340f2749772a5b917dadc74ced75423085974891c8f | MATLAB | 4,761 | 176 | function I=mi(A,B,varargin)
%MI Determines the mutual information of two images or signals
%
% I=mi(A,B) Mutual information of A and B, using 256 bins for
% histograms
% I=mi(A,B,L) Mutual information of A and B, using L bins for histograms
%
% Assumption: 0*log(0)=0
%
% See also ENTROPY.
% j... |
46d263c568434d3b6ec13f8900b8e75f8c9bf62d561217544d4953f255f8b802 | MATLAB | 4,774 | 138 | function [sEyeFig,sET] = ET_initialize(sEyeFig,sET)
%OT_initialize initializes all fields when data paths are set
global objCam
%% initialize camera
%set parameters
intTriggerType = 1;
%get devices
sDevices = imaqhwinfo;
%establish connection
sCams = imaqhwinfo(sDevices.InstalledAdaptors{1});
if isempty(s... |
b1cd245e2c5de4a06b3dd4dbb9d0e0318f9fc384a7460d3f7f2c786075f9dfd6 | MATLAB | 4,797 | 96 | function zef = zef_nse_tool_update(zef)
zef.nse_field.use_gpu = zef.nse_field.h_use_gpu.Value;
zef.nse_field.pcg_tol = zef.nse_field.h_pcg_tol.Value;
zef.nse_field.pcg_maxit = zef.nse_field.h_pcg_maxit.Value;
zef.nse_field.rho = zef.nse_field.h_rho.Value;
zef.nse_field.mu = zef.nse_field.h_mu.Value;
zef.nse_field.vis... |
fcfc404b937c5ffe91a1a34fc957b08b06606fee81fe7eb6bd60f65c109d0724 | MATLAB | 4,800 | 142 | function M = positivefactory(m, n)
% Manifold of m-by-n matrices with positive entries; scale invariant metric
%
% function M = positivefactory(m)
% function M = positivefactory(m, n)
%
% A point X on the manifold M is represented as a matrix X of size mxn with
% all individual entries real, strictly positive. By defau... |
add34a5c4d4ce19642ca6c1e5e30437df73385f9628cd1972aa8d0fcc67f498d | MATLAB | 4,823 | 190 | function [pred_info, ypred] = ...
estimate_posterior_spike(...
data, post_info, Model, fs_est)
% --- spike estimation based on posterior for overlap window
% pred_info = estimate_posterior_spike(...
% data, post_info, Model, fs_est)
% ----- Output
% pred_info.spike_num(n) = estimated spike number
... |
143d1ff63ad94e7bbee20254a0fe613a21c0a82e71c5fe1eea1e4732d3e45671 | MATLAB | 4,826 | 143 | function [obj,mapsim] = cluster_alignmaps(obj,usepeaks,varargin) ;
% Assign a microstate class to each time point, building a discrete microstate time series.
%
% Given a set of template maps c, a set of maps at global field potential
% peaks X, and some way to map the peak maps onto the data v, we can
% calcula... |
388240fb32d1df8199f270eee7c1c9d901c67cf0f2badacdc693350d5d5c5c1c | MATLAB | 4,832 | 195 | function spike_state = multiple_spike_state(...
parm, print_mode)
% multiple_spike_state
% spike_state = multiple_spike_state(parm)
%
% spike_state.Nstate(nspike) = number of states
% for (# of spike) = nspike
% spike_state.Tspike{nspike} = spike time onset list
% ... |
2a5f0e913ac2dbd0c0ea8b66f42cf923a9610eeaad1e6955428a5d64cce29513 | MATLAB | 4,835 | 150 | function M = spectrahedronfactory(n, k)
% Manifold of n-by-n symmetric positive semidefinite matrices of rank k
% with trace (sum of diagonal elements) equal to 1.
%
% function M = spectrahedronfactory(n, k)
%
% A point X on the manifold is parameterized as YY^T where Y is a matrix of
% size nxk. As such, X is symmetri... |
39c25ba617f8ee59a3d07733b2030d51d77a18b51a14cf6f13257160ab613d47 | MATLAB | 4,838 | 87 | %Copyright (c) 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function project_struct = zef_meshing_example ( kwargs )
%
% examples.zef_meshing_example ( kwargs )
%
% This is a code snip to serve as an example for generating the
% multi-compartment head model a... |
dfc9cf3dbc6f109a497e48ad4046b036350e3406b195c4bc7a31c9e7f25bbd32 | MATLAB | 4,841 | 188 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function [mesh_data_1,mesh_data_2,submesh_data] = zef_get_mesh(zef,file_str,field_id,file_type,varargin)
output_mode = 1;
if not(isempty(varargin))
output_mode = varargin{1};
end
mesh_data_1 = []... |
6d6792f7b1eded56a0e665f717e609ee560744576f8719d67b866202053510d1 | MATLAB | 4,856 | 141 | function M = symfixedrankYYcomplexfactory(n, k)
% Manifold of n x n complex Hermitian pos. semidefinite matrices of rank k.
%
% function M = symfixedrankYYcomplexfactory(n, k)
%
% Manifold of n-by-n complex Hermitian positive semidefinite matrices of
% fixed rank k. This follows the quotient geometry described
... |
e4af5188829ee97de6e3259579187ae19bdbfa782f51d3cff731716cede490d5 | MATLAB | 4,856 | 162 | function [A,B,e,e_subj] = highdim_pca(X,T,d,embeddedlags,...
standardise,onpower,varimax,detrend,filter,leakagecorr,Fs,As)
% pca for potentially loads of subjects
%
% if X is a cell of things, uses SVD
% if X is a matrix, uses Matlab's PCA
%
% d indicates how many PCA components to take, and can be specified
% in... |
9cc8b37ff3af68b6739062fa9ff8f5e74591e98dd22966726d9192eef495cc88 | MATLAB | 4,870 | 84 |
%--------------------------------------------------------------------------------
% This demo is included in
% Reverse engineering neural networks to characterise their cost functions
% Takuya Isomura, Karl Friston
%
% Copyright (C) 2020 Takuya Isomura
% (RIKEN Center for Brain Science)
%
% 2020-05-08
%---------------... |
35a6e8dd5ffcb8c3bbb26127f1b11207d2fe5d6674012e9af004162c5130b96a | MATLAB | 4,883 | 139 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function [z,reconstruction_information] = zef_relax_iteration(void)
h = zef_waitbar(0,1,['Relaxation iteration.']);
n_multires = evalin('base','zef.relax_multires_n_levels');
sparsity_factor = evalin(... |
afd21d9b9648cf8139c6e4d93740a1ffaa2d972b6220f7f130e417c8ab12eb04 | MATLAB | 4,901 | 126 | function Fun_ExportTimeSpent(Path, Subject, ScoringPerFile,...
ScoringMappingForVS, SleepFrag, EpochLength, NumberOfFilesPerSubject,...
FileNamesForSubjects)
%% Written and updated by M. Nollet (Aug 2023)
%
% Function to be used to export sleep architecture and sleep fragmen-
% tation/consolidation data... |
7707d0e4113cf82388fde0890433c7e2e3f0b2d94781ea0cfaa0ec029511bb4c | MATLAB | 4,904 | 169 | function p = stats_TANOVA(obj,design,maps,varargin)
% Perform TANOVA analysis on clustered maps
%% Check inputs
% Check multiple conditions appear in the data
if length(obj.conditionlabels) == 1
error('The cohort structure must contain multiple conditions');
end
% Get pairs of conditions - check if spec... |
4b0799759cd9a8c5e47c0109016e1ed43f31d472dbfd24c17a0c6289db836eae | MATLAB | 4,910 | 160 | function h = swarmchart(varargin)
%SWARMCHART Swarm chart.
% SWARMCHART(x,y) displays a scatter plot where points are jittered in
% the x dimension based on an estimate of the kernel density in the y
% dimension for each unique x. Swarm charts provide a visualization for
% discrete x data that captures th... |
1c7d1baa490d9041a6af93d574a150cd58cf7ee326b9be0f3bfc0038475ba96f | MATLAB | 4,920 | 126 | %Copyright © 2021- Sampsa Pursiainen & GPU-ToRRe-3D Development Team
%See: https://github.com/sampsapursiainen/GPU-Torre-3D
load([torre_dir '/system_data/signal_configuration.mat']);
load([torre_dir '/system_data/mesh_1.mat']);
load([torre_dir '/system_data/system_data_1.mat']);
load([torre_dir '/system_data/nodes_1.... |
7892685a82403b375ac2ef710f7eb0961552322379a95fa5cf244a787d0f05ab | MATLAB | 4,922 | 177 | function [z_vec, self] = invert(self, f, L, procFile, source_direction_mode, source_positions, opts)
%
% invert
%
% Builds a reconstruction of source dipoles from a given lead field with
% the Dipole Scanning method.
%
% Inputs:
%
% - self
%
% An instance of DipoleScanInve... |
d8d92ff8879df2d0b8f2077a22f552f271144c5db274d70e374247d657f150b4 | MATLAB | 4,926 | 145 | function [opt,delta,stats,fh] = sw_run_delta_LFP(varargin)
% [rip] = run_ripple_LFP(dat, opt)
% top level function to perform slow wave and spindle detection on the same
% file
% inputs:
% 1) dat - data input which can be either
% a) string dat='C:/eegdata/rec001.edf' or
% b) data s... |
71142c6e2910a7c1c8b6a1a4ff6ae26c8b4f25afb77fe6f2495c7024ba800f0a | MATLAB | 4,928 | 129 | function events = custardWrapper3( timing, fluo_matrix, params_in, run_params_fields, detailed )
% version 3 adapted for multiple runs on the same data
% expects params in seconds, converts to points based on timing
% params_in contains multiple sets of custard parameters
% all inputs in real units, converted to poi... |
9a973f9a65fdb689edc00314a0da022ab7720417a0afda9f08a385358baaa501 | MATLAB | 4,934 | 146 | function [UI,Q] = admUIg(Psy, Psz, T, innerstop, accu, maxiter)
%function [UI,Q] = admUIg(Psy, Psz, conf)
%#codegen
% admUIg computes the Unique Information for the marginals P_SY and P_SZ
% Inputs: Psy is a table of size S x Y and Psz is a table of size S x Z
% T = 1; % freq test stop cr... |
ee1449ebb7eb808acfbb1e0b1e3b9a819c9859ff6f7b1dd4a2c4ea6096125554 | MATLAB | 4,937 | 111 | function strip_struct = zef_electrode_strip(position, orientation)
orientation = 1/norm(orientation)*orientation;
center_point = position + 4*orientation;
dir_vec = 1/norm(orientation)*orientation;
strip_struct = struct;
strip_struct.center_point = center_point;
strip_struct.radius = 0.635;
strip_struct.dir_vec = dir... |
f42466ecf7a9938c186c3469fa7bd447ad35d4b8c6357229d8ff1281ee792e5a | MATLAB | 4,941 | 145 | % -------------------------------------------------------
%
% synthesize_P_QRST_singleBeat.m - This script synthesizes a simulated
% P wave and a QRST segment to a full hearbeat
%
% Ver. 1.0.0
%
% Created: Claudia Nagel (13.10.2022)
% Last modified: Claudia Nagel (13.10.2022)
%
% Instit... |
37cd63fc14e8faf2c9a4af822f59279ecd1ec4b1a1282f18728a4f441bb80ade | MATLAB | 4,963 | 137 | function [centers, metric] = chcenters(varargin)
%CHCENTERS Find circle center locations from the Circular Hough Transform accumulator array
% CENTERS = CHCENTERS(H, SUPRESSIONTHRESH, SIGMA) finds all the potential
% circle center locations from the accumulator array H. CENTERS is a
% P-by-2 matrix, where P is t... |
54f1faa1796daaa06d61da23cd6137361bd7ffd82f574b43f1379f424edc5156 | MATLAB | 4,982 | 171 | %================================================
% Some of the setting might already applied to the
% saved project.
%
% This script:
% 1. Set noise of the measurement
% 2. Selects the leadfield
% 3. creates a measurement data
% 4. runs kalman
% 5. saves measurement and reconstruction to
% data bank
% 6. crea... |
243924a577c86de20ee6058c93e177fb3799116605d97506a4297e37ca7fc867 | MATLAB | 4,988 | 191 | % BIASFIELDCOR Simple slice-wise bias-field correction of a 3D NIfTI image
% [ha,ac,a] = biasfieldcor(file)
% biasfieldcor(file,fileout)
% Performs a simple bias-field correction on a 3D NIfTI volume. The correction is performed independently
% for each axial slice using a local intensity-based bias-field estimati... |
6459099f46a68b323c8f3f8f0cd96dc1227daf6d3cdcdc8fe2b6edeb0797b649 | MATLAB | 4,989 | 201 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
if not(isfield(zef,'smoothing_steps_ele'));
zef.smoothing_steps_ele = 100;
end
if not(isfield(zef,'lead_field_filter_quantile'));
zef.lead_field_filter_quantile = 0.995;
end
if not(isfield(z... |
87e1bebe5ed2261ba7f5da305368b31759a7c2c27d2b0aca36219c1b2f9e19bb | MATLAB | 4,990 | 77 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function zef = zef_update_fss(zef)
if nargin == 0
zef = evalin('base','zef');
end
if ~zef.synth_source_updated_true
if str2num(zef.find_synth_source.h_plot_switch.Value) == 1
selected_s... |
14cc9edc5ae965440206f095ca6a5696fc409afd06f0598c61ae0d3fe31120b1 | MATLAB | 5,009 | 134 | function [zef] = zef_tool_start(zef,tool_script,relative_size,scale_positions)
if nargin < 3
relative_size = 1/2;
else
relative_size = 2*relative_size;
end
if isempty(relative_size)
relative_size = 1/2;
end
if nargin < 4
scale_positions = 1;
end
h_tool = findall(groot,'ZefTool',tool_script);
screen_... |
ccee7e189e5a653953a627bd22f37de14dcfe5c78423dae58b260cbd85b66f04 | MATLAB | 5,020 | 143 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function zef = zef_import_figure(zef,varargin)
if isempty(zef)
zef = evalin('base','zef');
end
file_name = [];
folder_name = [];
if not(isempty(varargin))
file_name = varargin{1};
folder... |
36f4f1197f46c46661504d9cc2ccd08c108c6d61d7f23e8e8a15438d6fda6ced | MATLAB | 5,024 | 104 | classdef SolverSGDM_conv4 < nnet.internal.cnn.solver.Solver
% ====================================================
% dir = C:\Program Files\MATLAB\R2019b\toolbox\nnet\cnn\+nnet\+internal\+cnn\+solver
% ====================================================
% SolverSGDM Stochastic gradien... |
dcb33412314cff37862ecabe9c6692c24f354f5e4c99b3b29235d04a0f4314aa | MATLAB | 5,024 | 104 | classdef SolverSGDM_conv4 < nnet.internal.cnn.solver.Solver
% ====================================================
% dir = C:\Program Files\MATLAB\R2019a\toolbox\nnet\cnn\+nnet\+internal\+cnn\+solver
% ====================================================
% SolverSGDM Stochastic gradien... |
72e2ec74221d22a29e2d05c3fc47ef7537139aab9523af3e6339b6750e0bb9f8 | MATLAB | 5,036 | 143 | function zef = zef_ES_plot_distance_curves(zef)
if nargin == 0
zef = evalin('base','zef');
end
h_f = figure('Name','ZEFFIRO Interface: ES distance curves','NumberTitle','off', ...
'ToolBar','figure','MenuBar','none');
distance_window = 10;
n_distances = 2000;
max_distance = 100;
quantile_val = 0.90;
smoo... |
7b904cd360db8de42308aca3f693097ba8b1e91bfa66b4c5f1b80cc6aca53cb0 | MATLAB | 5,046 | 136 | function zef = zef_bst_create_project(settings_file_name, project_file_name, run_type, input_mode, zef_bst, zef)
if nargin < 6
zef = struct;
end
if nargin < 5
zef_bst = struct;
end
if nargin < 4
input_mode = 1;
end
if nargin < 3
run_type = 1;
end
if nargin < 2
project_file_name = '';
end
zef_b... |
aae03a829049de2ab019928ec5ffa33fad2074adc0d814d5d726b2fb40fbd885 | MATLAB | 5,050 | 184 | function [p,info] = erp_clusterperm_gfp(obj,design,varargin)
% Perform cluster permutation analysis on GFPs
%% Check inputs
% Check multiple conditions appear in the data
if length(obj.conditionlabels) == 1
error('The cohort structure must contain multiple conditions');
end
% Get pairs of conditions - c... |
4ac29e62326d62eb5a06e89ec20f8075dfcb4018d171af325f2b16c92441a1e7 | MATLAB | 5,059 | 138 |
%Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function zef = zef_source_interpolation(zef)
if nargin == 0
zef = evalin('base','zef');
end
if eval('isequal(size(zef.L,2),size(zef.source_directions,1))')
eval('zef.source_directions=zef.so... |
d80c7a9cbe7b2162da76d544e448330d42f01b6ba8da9fbb9f600e86639277f2 | MATLAB | 5,060 | 129 | function [tetra, flag_val, nodes_ind] = zef_tetra_turn(zef, nodes, tetra, thresh_val)
if isempty(zef)
zef = evalin('base','zef');
end
flag_val = 1;
h = zef_waitbar(0,1,'Mesh optimization.');
ind_m = [1 4 7; 2 5 8 ; 3 6 9];
tetra_ind = 0;
iter_ind_aux_0 = 0;
[condition_number, tilavuus] = zef_condition_number(... |
69e3faa7f49e1bc2d6837583dbd743e2c151f2a2d82eb2b45c96f484c1755346 | MATLAB | 5,064 | 179 | function M = complexcirclefactory(n, m, gpuflag)
% Returns a manifold struct to optimize over unit-modulus complex numbers.
%
% function M = complexcirclefactory()
% function M = complexcirclefactory(n)
% function M = complexcirclefactory(n, m)
% function M = complexcirclefactory(n, m, gpuflag)
%
% Description of matri... |
5adba34ee2a672dee706c673bb27617aa931ef6bf4c3f47d68f12795bc782f4f | MATLAB | 5,095 | 149 | function grad = getGradient(problem, x, storedb, key)
% Computes the gradient of the cost function at x.
%
% function grad = getGradient(problem, x)
% function grad = getGradient(problem, x, storedb)
% function grad = getGradient(problem, x, storedb, key)
%
% Returns the gradient at x of the cost function described in ... |
829e4ca1488f41602b6727a554696dc79690a5df7ed3ca46dd865c2237dff20a | MATLAB | 5,095 | 158 | function [zef,MethodClassObj] = zef_process_inversion(zef,MethodClassObj)
%
% zef_process_inversion
%
% A function that processes a given inverter, calling its inverse method
% for a number of frames and producing a set of reconstructions. The
% inverse methods require the following inputs:
... |
c9b1673162bd1b893efe5b9ccd1f7d8c319ccfd86101f6b4fbcca260af9a00f5 | MATLAB | 5,101 | 181 | function lint_mfiles(folder, kwargs)
%
% lint_mfiles
%
% Runs a linter on all .m files in the given folder and its subfolders. Throws
% and error at the end, if unacceptable linter messages were discovered in the
% process.
%
% Inputs:
%
% - folder (1,1) string { mustBeFolder }
%
% The folder whose .m files will be l... |
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