sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
a8135a36848b4b445473f9bd3c69b0d34f3dfd41baff0c72a7c0f723b0557146 | MATLAB | 10,805 | 281 | function [All,opts,outVars] = loadData(loadList,loadPath)
ind = 1;
numExps = numel(loadList);
All(ind) = load(fullfile(loadPath,loadList{ind}),'out');
%% error fixer
%CAUTION! ERRORS WILL OCCUR IF YOU RUN MORE THAN ONCE!
[All] = allLoadListErrorFixer(All,loadList);
%% Rematch Targeted Cells
opts.matchDista... |
015ab0f7713408d1ae454f9d63f4066d468e89f310d1b9246d69bdeebed83154 | MATLAB | 10,808 | 282 | classdef (Abstract) CalcMeasureROIs < Calc
%CalcMeasureROIs - Superclass for CalcMeasureROIs classes
%
% CalcMeasureROIs is an abstract superclass that implements (or requires
% implementation in its subclasses via abstract methods or properties)
% most functionality related to CalcMeasureROIs objects. Typically... |
0c25e6ad08b5c6e8e72a54bbb15680e4084ca179d35f00fdf5b52d2fe0d01e77 | MATLAB | 10,818 | 357 | %% INTRO
% This script summarizes the fit process of the experimental data shown
% in Fig 4 of 10.1002/aisy.202200145.
% Fig1: datapoints represent the digitized data, solid lines are their linear fit (using a xlog scale),
% and the dashed lines represent the final model result.
% Fig3: same as Fig 1
% Fig2 and Fig4 ... |
0efae5c6df8f44be668027ec26094d166bb7597078fe27bb93dbdf6e65dc7bb3 | MATLAB | 10,834 | 182 | function [ theta, stretchAngStats, stretchDirPref, stretchOrPref, testRange, dirResponse, dirPref, orResponse, orPref ] = AngularSensitivity( MLstretch, APstretch, affActivity, varargin )
%OrientationSensitivity
IP = inputParser;
addRequired( IP, 'MLstretch', @isnumeric )
addRequired( IP, 'MLactivity', @isnumer... |
aed185058e2eff7dd2e51965bc03814ceab346aff4d62000f4dd32f053b839f5 | MATLAB | 10,854 | 286 | classdef ConfigDetectSigsCellSort < ConfigDetectSigs
%ConfigDetectSigsCellSort - Parameters for detecting and classifying signals
%
% The ConfigDetectSigsCellSort class is a configuration class that contains
% the parameters necessary for detecting and classifying signals from ROI
% traces. For further informatio... |
a9e7c34b4d1537bbad1c7f0ef35e24c4fbaac52b5d80740fb9ef3e99cb6ccf02 | MATLAB | 10,900 | 290 | classdef (Abstract) Config < ConfigHelper
%Config - Superclass for Config classes
%
% Config is an abstract superclass that implements (or requires
% implementation in its subclasses via abstract methods or properties)
% most functionality related to Config objects. Typically there is one
% concrete subclass o... |
bf2581dec91a31c7ec755b4db2f7e554d217dd17bae25d6b1407d739b09d39c8 | MATLAB | 10,943 | 225 | %%%%%%%%%%%%%%%%%%%%
%TC0001 - addPenaltiesToModel
%%%%%%%%%%%%%%%%%%%%
cd 'C:/Work/MatlabCode/projects/BrainMetabolismModeling/BrainMetabolismModeling'
ecModel = load('data/MinModel.mat').minModel;
%Check that there is no penalty in the no penalty case
m = addPenaltiesToModel(ecModel, 1, 1, 1, 1, 1, true);
al... |
ff9418dd4326e4325f2a696d04b46096a966548ca88997116e7e1a3db578800c | MATLAB | 11,007 | 367 | %function [hgfSelectROI,hgfROIAmp] = saROIAmplitude(fnTS,TS,DAVersion)
addpath '.\Codes';
addpath 'E:\2021_12AustinVisit\Chip20211215ForJimin\Chip20211215ForJimin\run6';
protoDir = '.\Chip20211215ForJimin\run6\';
load M28D20211215R6TS.mat
fnTS = 'M28D20211215R6TS.mat';
Condition = TS.Header.Conditions;
Num_val... |
832eb0c6d070e12a7ca7174252bc8f2c38619a04930291912f90ea497fad5232 | MATLAB | 11,045 | 404 | function varargout = boundedline(varargin)
%BOUNDEDLINE Plot a line with shaded error/confidence bounds
%
% [hl, hp] = boundedline(x, y, b)
% [hl, hp] = boundedline(x, y, b, linespec)
% [hl, hp] = boundedline(x1, y1, b1, linespec1, x2, y2, b2, linespec2)
% [hl, hp] = boundedline(..., 'alpha')
% [hl, hp] = boundedline(... |
b621f8360c93f916e3983b35e15d36381ef964294a9f875e037a2e62f624394c | MATLAB | 11,055 | 284 | % op_CSIplot.m
% Brenden Kadota, McGill University 2019.
%
% USAGE:
% sim_plotCSI(in)
% sim_plotCSI(in, 'min_range', 0, 'max_range', 4, 'coilNum', 3, 'averageIndex', 1,
% 'x_indecies', [10,20], 'y_range', [-100, 100])
%
% DESCRIPTION:
% This function takes a processed MRSI twix file and plots the data using... |
ec1e6026bb324938f3a737b1a331465cdb23f6b5c3b4fee71134ced1bec1f08d | MATLAB | 11,113 | 247 | %% Description
% The following script extracts Slow Oscillations for the cardio audio
% experiment described in https://doi.org/10.1101/2022.03.03.482861 based
% on the method described by Ngo et al., 2013 (DOI: 10.1016/j.neuron.2013.03.006)
% & Besedovsky et al., 2017 (DOI: 10.1038/s41467-017-02170-3 ) adapted from... |
e01ae6da5ec73e42318d5f4a0af660003e3057c20e363f478f78061d0b0db3d7 | MATLAB | 11,138 | 274 | function outModel = CreateCompartmentECGEM(model, fillInMissingGPRs, minAcceptableKCat, speciesAdapter)
%This code was copied from CreateECLightModel in GeckoLight and modified. What we do is to divide the costs into
%4 categories: cytosolic, mitochondria, MT-genes, and other.
%Cytosolic reactions are identified as r... |
724656f64fea676956c05fe4cb42d2d8ae57d07ba4c89b7585776ed41a9bdc8d | MATLAB | 11,178 | 321 | function [x,resnorm,resid,exitflag,output,lambda] = lsqnonnegvect(C,d, options, varargin)
%LSQNONNEGVECT Partly vectorized linear least squares with nonnegativity constraints based on
% MATLAB function lsqnonneg.
%
% X = LSQNONNEGVECT(C,d) returns the matrix X, of which the kth column minimizes
% NO... |
059eb76a382f3be6cfd10d745cff56699bc97dbfbdd481bba02ed50e42ccb3fb | MATLAB | 11,228 | 349 | % Explore permutations of likely misreads
%Get prob_transcripts for this file
loadParameters;
if ~exist('X','var')
load(fullfile(params.punctaSubvolumeDir,'puncta_rois.mat'),'X','Y','Z');
end
if ~exist('maxProj','var')
img = load3DTif(fullfile(params.rajlabDirectory,'alexa005.tiff'));
maxProj = max(img,[]... |
d58a6e9278c8acdb086303cd445a4cd076c4055e67740799e8ea47dd0e165407 | MATLAB | 11,231 | 264 | % X3D_TREE Plots a tree as cylinders.
% (trees package)
%
% [name path] = x3d_tree (intree, name, color, DD, ipart, options)
% ----------------------------------------------------------------
%
% exports a tree as a set of cylinders in the ".x3d" html format. A viewer
% is necessary to use these files. "blender" and ... |
f47f988fceaaf390f795d8aff5c3039cb703cecaf0d07a7d3fd239af77c74cfc | MATLAB | 11,234 | 436 | function sff = sff_estimate360CameraParameters(sff)
%SFF_ESTIMATE360CAMERAPARAMETERS
%
% Raphael Sarfati, 05/2022
calAlpha1 = xy2alpha(sff.clb.calPoints.p1,sff.prm.mov.frameDim);
calAlpha2 = xy2alpha(sff.clb.calPoints.p2,sff.prm.mov.frameDim);
sff.clb.stereo360ParamsRANSAC = estimate360CameraParameters(ca... |
31dab69be2d459f3d29de7985458f8d5b84d6da5012fc87f63b598a53ea9d178 | MATLAB | 11,241 | 374 | function y = inpaintn(x,n,y0,m)
% INPAINTN Inpaint over missing data in N-D array
% Y = INPAINTN(X) replaces the missing data in X by extra/interpolating
% the non-missing elements. The non finite values (NaN or Inf) in X are
% considered as missing data. X can be any N-D array.
%
% INPAINTN (no input/output ar... |
ccdfca11182efa5c7f8b1da598d6b037f68268492626862ed6add83afc28fd38 | MATLAB | 11,246 | 259 | classdef AOandAI_OO < handle
% Demonstration of simultaneous analog input and output with the dabs.ni.daqmx wrapper
%
% vidrio.mixed.AOandAI_OO
%
%
% Description:
% This example demonstrates how to use a class to continuously run data acquisition (AI)
% and signal generation (AO) ... |
ec73b4139f4fcd327ac6d783f2d8dc35409b13c82568c21680a876c6051909ec | MATLAB | 11,270 | 280 | %io_CSIload_rda.m
%Brenden Kadota, SunnyBrook Hosptial 2021.
%
% USAGE:
% [out] = io_CSIload_rda(rda_filename);
%
% DESCRIPTION:
% Reads in siemens rda data (.rda file).
%
% io_CSIload_rda outputs the data in CSI structure format, with fields corresponding to time
% scale, fids, frequency scale, spectra, and header fie... |
683eb050ebdf98255dca765e71cac0b60c7edeb239dc4078ba785497fd67ad9d | MATLAB | 11,370 | 234 | % sharedvol_trees
% Calculates the shared volume of two trees with voxelization of the two hulls.
% Also the length of the trees inside the shared volume are calculated.
%
% CAREFULL tree must be resampled
% Uses boundary_tree VOXELIZE voxel_tree
%
% input
% ---------
% -intree1 :tree:: first input tree
% -intree2... |
c0456c58dfe7fb23664b40489104a2eab163d99bdc6fd071b8246edc07d148a6 | MATLAB | 11,381 | 208 | %% Use GLM to assess contribution of different variables
locoDeform_pred = cell(1,Nexpt); locoDeform_resp = cell(1,Nexpt); locoDeform_opts = cell(1,Nexpt); locoDeform_result = cell(1,Nexpt); locoDeform_summary = cell(1,Nexpt);
glmFigDir = 'D:\MATLAB\LevyLab\Figures\3D\GLM\'; mkdir( glmFigDir )
GLMname = 'LocoDeform_... |
8e2b3465b31bae4531c184fce14b3b0825a5cff0ece154284eaaf0b7872eaffe | MATLAB | 11,392 | 339 | function [All,outVars] = cleanData(All,opts)
%% Clean Data and stuff i dunno come up with a better title someday
FRDefault=opts.FRDefault;%6;
recWinRange =opts.recWinRange;% [0.5 1.5];% %from vis Start [1.25 2.5];
if isfield(opts,'runValPercent') %back compatible check, moving runVal Percent out of function
runVa... |
bf99dcd6fa730c1f395a39fdedebe5d2289bf6c90e8fb08baa922d38a5af333e | MATLAB | 11,411 | 274 | function outModel = CreateCompartmentECGEM(model, fillInMissingGPRs, minAcceptableKCat, speciesAdapter)
%This code was copied from CreateECLightModel in GeckoLight and modified. What we do is to divide the costs into
%4 categories: cytosolic, mitochondria, MT-genes, and other.
%Cytosolic reactions are identified ... |
2069775e1ece2d7038f1c0a1b7807206ed03b09c08b65db6ca5b6b8d47dea074 | MATLAB | 11,416 | 216 | function [ROI, varargout] = WriteROIproj(expt, catInfo, ROI, varargin)
IP = inputParser;
addRequired( IP, 'expt', @isstruct )
addRequired( IP, 'catInfo', @isstruct )
addRequired( IP, 'ROI', @isstruct )
addOptional( IP, 'axon', [], @isstruct )
addParameter( IP, 'edges', [0,0,0,0], @isnumeric )
addParameter( IP, '... |
23abf4746f7171cb8e4337c34c3e27ab77d710bbcf67a05ae9d9ab1ad9c07d15 | MATLAB | 11,436 | 215 | function tfce_estimate = tbx_cfg_tfce
% SPM Configuration file for TFCE estimate
% ______________________________________________________________________
%
% Christian Gaser
% Structural Brain Mapping Group (https://neuro-jena.github.io)
% Departments of Neurology and Psychiatry
% Jena University Hospital
% ___________... |
fad5be60e870c266e7cf12e263be16f24b7045090268a9060bdcc541372ed695 | MATLAB | 11,437 | 337 | % RESAMPLE_TREE Redistributes nodes on tree.
% (trees package)
%
% tree = resample_tree (intree, sr, options)
% ------------------------------------------
%
% Resamples a tree to equidistant nodes of distance sr. In order to do so
% some abstraction principles need to be arbitrarily set.
% This function alters the or... |
98cc931321c5d8c83d5a980e0c483ab710d792186e432f55dee11a2385b6e647 | MATLAB | 11,450 | 317 | % run_specialproc_fmrs_slidingWindow.m
% Jamie Near, McGill University 2014.
%
% USAGE:
% [out1,out_w]=run_specialproc_fmrs_slidingWindow(filestring,windowSize);
%
% DESCRIPTION:
% Processing script for functional MRS data acquired using the SPECIAL MRS
% sequence. This script accepts data in Siemens .dat format (t... |
70ec23a32c8b20856005aeec48e5600cda5ddf61e1dcd3380eda3bf3d897fea0 | MATLAB | 11,458 | 424 |
figure;
iB=[3 7 8 10];
iG=setdiff([1:1:15],iB);
% save('iB.mat','iB');
% save('iG.mat','iG');
%% Grid: Matrix correlation %2 figures
load('E:\learningAnalysis\behaviorVSActivity\MatrixCorrelation\deceNTDiffCM\indivMiceFolders.mat');
nData=9;%only look at new FOVs,
corrM=[];
for n=1:length(indivMiceFol... |
863b7310a52e3bed52462c5a3f6532a40da23ff2ec6662fe6894b86fe67eb5dd | MATLAB | 11,468 | 264 | function out = load_recode_behav(rootDir, iSub, rejectedtrials)
% out = load_recode_seq(rootDir, iSub, rejectedtrials)
%
% Load behavioral data;
% recode response and accuracy variables (uninstructed keys to
% instructed keys; delete Gos with too long RTs, accuracy based on recoded
% keys presses);
% filter out reje... |
dbcbcb2323640824c4468a5a70986207cbd35e869d0059099598bf5a441edda9 | MATLAB | 11,499 | 321 | function [x,resnorm,resid,exitflag,output,lambda] = lsqnonnegvect(C,d, options, varargin)
%LSQNONNEGVECT Partly vectorized linear least squares with nonnegativity constraints based on
% MATLAB function lsqnonneg.
%
% X = LSQNONNEGVECT(C,d) returns the matrix X, of which the kth column minimizes
%... |
522aefea79d7a2bab625305c7f50a0e1ca55288dfa14ec126f6952aaf2054c05 | MATLAB | 11,524 | 285 | function varargout = launch(varargin)
% Launch is a GUI-based application that interacts with an experimenter to
% select a subject-session combination to run, enrolling new subjects as
% necessary. The enrollment process can, optionally, also collect
% demographic information. Other versions of this call allow the ... |
cf2f8c73e9dad1586123a78f1611dd660544227531bd2b434f31d412b93b9f7e | MATLAB | 11,529 | 412 | clear
close all force
load('a0_0_bhv2trialStrct.mat');
%%
%individual
NIImage_Individual = [7
9
11
22
25
27
28
38
39
40
41
42
43
44
47
49
52
53
55
56
57
59
60
]';
%group
%
NIImage_Group = [
36
37
45
51
5... |
03c3cbed443845a9ad2aed4545d365ead6f718d16ce6a913d599a011f9670e00 | MATLAB | 11,535 | 281 | classdef RawImgDummy < RawImg
%RawImgDummy - Class implementing dummy raw image objects
%
% The RawImgDummy class implements functionality related to 'dummy'
% RawImg objects; i.e. RawImg objects that don't have a specific class
% designed to work with their format. This makes it possible to create
% functiona... |
60cd8aa85b2ea1afff8bc188dbab1e36e6e30f2cfaae37c8668c2f0048c7c012 | MATLAB | 11,536 | 191 | %% Use GLM to assess contribution of different variables
locoDeform_pre_pred = cell(1,Nexpt); locoDeform_pre_resp = cell(1,Nexpt); locoDeform_pre_opts = cell(1,Nexpt); locoDeform_pre_result = cell(1,Nexpt); locoDeform_pre_summary = cell(1,Nexpt);
figDir = 'D:\MATLAB\LevyLab\Figures\3D\GLM\'; mkdir( figDir )
%rLocoPr... |
c38f3103101a637adc9025aa1dda89cb9ae4e2ec053c650e15b586edcf20acd5 | MATLAB | 11,544 | 307 | % op_CSIFOurierTransform.m
% Brenden Kadota, SunnyBrook Hosptial 2021.
%
% Does spectral and spatial fourier transform on MRSI structure. The fast
% fourier transform is done on the spectral dimension. If the spatial k
% space is cartesian, the fast fourier transform is applied.
% USAGE:
% out = op_CSIFourierTransform(... |
0265a69fc24cf5fb5ebf4789fda3ac872c0ed531c6969ab226e1aae968b1c28f | MATLAB | 11,560 | 221 | function [DistanceAlongTimeInPixelsPerSec,SpeedAlongTimeInPixelPerSec,Stimulus1ExplorationAlongTimeInSec, Stimulus2ExplorationAlongTimeInSec,...
Stimulus1InteractionsStartTimesInSec, Stimulus2InteractionsStartTimesInSec, Stimulus1EpoksDurationInSec, Stimulus2EpoksDurationInSec, TransitionTimesInSec,Compartment1AlongTi... |
6da64ed093287deda8b86c1ec264cc979d1033387e7c2d606cefb8b5de5018cf | MATLAB | 11,609 | 278 | function [axon, expt, stillCosSim, stillCorr, rSilent] = MergeROI3D(expt, T, loco, ROI, fluor, stillEventRaster, varargin) % sbxPath, , axonLabelFoot, axonLabelVol , stillEpoch
% Use the hierarchical clustering procedure outlined in Liang,... Andermann 2018 to find ROI sets that likely belong to the same axon
IP = i... |
1c3611a1abbc538721dc258ef56ac06d35826e9a068d1fff623b725949df99b2 | MATLAB | 11,624 | 371 | %io_loadspec_varian.m
%Jamie Near, McGill University 2014.
%
% USAGE:
% out=io_loadspec_varian(filename);
%
% DESCRIPTION:
% Reads in varian .fid data using the readfid.m and readprocpar.m functions
% from Martyn Klassen (mklassen@robarts.ca).
%
% io_loadspec_varian outputs the data in structure format, with fields ... |
fbe14a98a22c176968fb7eb747c868d6457582d8a4bb5958cbc8a8ba7a44c45f | MATLAB | 11,636 | 267 | %% Prepare the workspace
%clear all;
clearvars -except preloaded mypath dtb_content protected
close all;
set(0,'defaultAxesFontSize',12);
%% Open corresponding text files
% Insplorer .inr file
filename = 'pos1_Pd70Au30_A21_pos2_Pd65Au35_A33_Air_Safety_sensor_test_HT_v12';
fileID1 = fopen(strcat('..\Data\43rd experime... |
3917d045ff401296c57c27e5fcae381c61d6e3f9d56f2dd30f369d264c4c52ef | MATLAB | 11,674 | 337 | % FigureS19.m
% Plots for Supplementary Figure S19.
%
% EEG/fMRI STUDY, DONDERS INSTITUTE, NIJMEGEN.
% J. Algermissen, 2018-2023.
% Should work in Matlab 2018b.
% we are here:
% cd /project/3017042.02/Analyses/FiguresOutcomeLocked
% clear all; close all; clc
% Set root directory:
cd(fileparts(which('figures_set_roo... |
6b551a2beb1062a3f13fea9349662fa7a5898b4c9f4e260edfc5d56558882ef6 | MATLAB | 11,728 | 198 | %% Use GLM to assess contribution of different variables
locoDeform_csd_pred = cell(1,Nexpt); locoDeform_csd_resp = cell(1,Nexpt); locoDeform_csd_opts = cell(1,Nexpt); locoDeform_csd_result = cell(1,Nexpt); locoDeform_csd_summary = cell(1,Nexpt);
figDir = 'D:\MATLAB\LevyLab\Figures\3D\GLM\'; mkdir( figDir )
GLMname ... |
7fe0164a8f27b2fcb90e6ecbf3e0779b2862fac422b56731f71ef346dc8135e6 | MATLAB | 11,765 | 354 | function [All] = allLoadListErrorFixer(All,loadList)
%Hard Code Error Fixes
%note the prefered way of catching errors
nameToUse = '190826_I132_2_outfile.mat';
indToUse = find(cellfun(@(x) strcmp(x,nameToUse),loadList));
if ~isempty(indToUse)
disp(['Correcting from Ind: ' num2str(indToUse)]);
All(indToUse).out... |
c9f213c58e5eca6fde4a67fd87d50d662ebfd2596701e47b309866a119c39203 | MATLAB | 11,792 | 337 | function displayID = loadDisplayParamsPTB(varargin)
% displayID = loadDisplayParamsPTB([property, value, ...]);
%
% 05/07/08 Modified from loadDisplayParams by JW in order to handle PTB
% calibration files.
%
%
% Routine for loading display params on a given computer. Requires a PTB
% calibration (.mat) fi... |
4eea4d880b4fa04804cc64d7b6e7c7e9f86b1dc80c5d91566d65eedd64406de0 | MATLAB | 11,898 | 366 | function tf = ft_platform_supports(what,varargin)
% FT_PLATFORM_SUPPORTS returns a boolean indicating whether the current platform
% supports a specific capability
%
% Use as
% status = ft_platform_supports(what)
% or
% status = ft_platform_supports('matlabversion', min_version, max_version)
%
% The following valu... |
bc4b7eb3d66035544521c9bef61bc0329be65fb81a11b1626a70f7131ad6ac56 | MATLAB | 11,903 | 316 | % EEGfMRIPav_eval_param.m
% This is an interactive script---execute it step-by-step.
% It fits a serious of computational reinforcement learning models using the CBM toolbox.
% and evaluates them.
%
% EXPLANATION OF SETTINGS:
% dirs.root = string, root directory of project.
%
% OUTPUTS:
% no outputs, jus... |
84f848fada916a80bdeda0b9c50c248fc17d991ae596e47b8514156cd14f889b | MATLAB | 11,908 | 388 | %% Fig2
% Jiaxin Gao
% Zhejiang University
% email: jiaxin_gao@zju.edu.cn
%% stimulus phase coherence (0.125s)
% The Code for Fig 2A
clear
clc
fs = 100;
% experiement 1--- 125ms
load('.\Fig2_data.mat')
phy_coh_sum = Fig2_Data.A.phy_coh_sum;
phy_coh = phy_coh_sum(:,1) ;
figure
f = 1:size(phy_c... |
3455ccf7a988f5d18fc991a015a81d897ee41c9b3f37ae88629b3ac3df75400a | MATLAB | 11,928 | 467 | function z = xmltools( arg, out_file, varargin)
% XMLTOOLS - tools for managing xml data sets
% - if arg is a string : arg is an XML file to convert into MATLAB struct
% - if arg is a variable : it is a MATLAB struct to write into XML, to stdout if out_file is not given
% use :
% z = xmltools('filename.xml')... |
9625e743dbcd25fcae5e58d3f5dbab4336f9a3f0486fed47a2e641065dd54f57 | MATLAB | 11,940 | 306 | function [All, outVars] = meanMatrixVisandCorr_v2(All,opts,outVars);
%% Make all dataPlots into matrixes of mean responses
%%Determine Vis Responsive and Process Correlation
visAlpha = opts.visAlpha;% 0.05;
if isfield(opts,'skipVis')
skipVis =opts.skipVis;
else
skipVis=0;
end
numExps = numel(All);
numSpikes... |
64646f19e60e26c4982ab54770f4d3713b4fc9626e5a2a77a3f264044b361094 | MATLAB | 11,987 | 449 | % GELoad.m
%
% USAGE:
% [FullData,WaterData,hdr]=GELoad(fname);
%
% DESCRIPTION:
% Reads in GE P-files (.7 file) using code adapted from GERead.m, provided
% as part of the Gannet software package by Richard Edden (gabamrs.com).
% Developed by Ralph Noeske and Mark Mikkelsen.
%
% INPUTS:
% filename = filename of GE P... |
f7a4b29815eac46c0bb4256c9af39e9fcc405883d9f8da5f3ec9c98af28329d5 | MATLAB | 12,044 | 201 | close all
clear all
clc
addpath('/home/andek67/Research_projects/nifti_matlab/');
basepath_nii = '/local/data1/andek67/ProgressiveGAN/rawdata/BRATS_2020/MICCAI_BraTS2020_TrainingData/';
%basepath_nii = '/local/data1/andek67/ProgressiveGAN/rawdata/BRATS_2021/';
% Get list of subjects
subjects = dir(basepath_nii);
% ... |
8377939703eceb793f2a3c9a843a222ad6518a4be0efe7da6f51454530be20a3 | MATLAB | 12,056 | 328 | %% Description
%
% The following script performs the control analyses for the cardio audio
% experiment described in https://doi.org/10.1101/2022.03.03.482861
% SR, RS, SS, RR intervals and variabilities are calculated to assess
% whether the experimental design was successfuly administered
%
% %
% Requires m... |
61a27b8e95ab346a088517768eed01fd43f6d802e79105479ec8a41f1d69e3cd | MATLAB | 12,090 | 267 | function [edges, zUse] = SegmentCat3D(sbxInfo, varargin) % [zproj_interp, mask, trace_raw, trace_hp, segmentation_data, sbxPath] =
IP = inputParser;
addRequired( IP, 'sbxInfo', @isstruct )
%addParameter( IP, 'pmt', 1, @isnumeric )
addParameter( IP, 'chan', 'green', @ischar)
addParameter( IP, 'name', '', @ischar )
... |
1e65728ef5239c861bf8043350646f733479a429719dc991b67aa6274af35d3f | MATLAB | 12,104 | 275 | function totModel = buildFullUtilBrainModel(baseModel, fracN, fracA, TNM, TNG, TAM, TAG, mobUtilN, mobUtilA, TMT, addExtraATP)
% buildFullUtilBrainModel
%
% Generates a combined model with neurons, astrocytes, and 'the rest of the body' (rob).
% 100 model pairs of astrocytes and neurons with varying utilization (0.01 -... |
21d5264cca8575c9be718acfc1a57dfbf8f52547c77be54851fd38d7aefa9188 | MATLAB | 12,104 | 423 | function [sROI] = ReadImageJROI(cstrFilenames)
% ReadImageJROI - FUNCTION Read an ImageJ ROI into a matlab structure
%
% Usage: [sROI] = ReadImageJROI(strFilename)
% [cvsROIs] = ReadImageJROI(cstrFilenames)
% [cvsROIs] = ReadImageJROI(strROIArchiveFilename)
%
% This function reads the ImageJ binary ROI ... |
2f2c8c8d6a5ef814b7be0778c6cd3456a12aeb9fa063592ad3e457ba0a133093 | MATLAB | 12,140 | 271 | %==========================================================================
% This script plots navigation paths examines the speed profile during the
% trials.
%
% Lukas Kunz, 2023
%==========================================================================
% start
clear; close all; clc;
addpath(genpath('E:\OpenField... |
e1eee5d517b19d7824f6609299ca53ba2ab604cabbac26ca4c4801d80ab9261c | MATLAB | 12,159 | 300 | classdef minimalStimPresenter_dotNET < handle
% Minimal code example showing how to present pre-calculated stimulus waveforms for optostim
%
% minimalStimPresenter_dotNET
%
%
% * Purpose
% This class serves as an example to demonstrate how Zapit conducts the actual photostimulation
% us... |
505602e4e0d5e3597ae5d697d0d51817cf7de989a9be719e409d27b6d946511c | MATLAB | 12,183 | 440 |
clear
close all force
warning on
load('a0_0_bhv2trialStrct.mat');
imSize = [733, 977];
load a7_2_createAvergedNOTMorphedHeatMapsLoad
hmAll2 = hmAll;
load('a6_2_createAvergedMorphedHeatMapsLoad')
NIm = [22,43,7, 22+62, 43+62, 7+62];
%%
close all
iIN = 1;
iMonkey = 1;
figure(2)
funGauss2dSD = 20;
for iN = 1:2
... |
f02bfd65f8f7751829277701748d8a1fef972587062e6fb08d6bd1fa97792dc0 | MATLAB | 12,189 | 440 |
clear
close all force
warning on
load('a0_0_bhv2trialStrct.mat');
imSize = [733, 977];
load a7_2_createAvergedNOTMorphedHeatMapsLoad
hmAll2 = hmAll;
load('a6_2_createAvergedMorphedHeatMapsLoad')
NIm = [22,43,7, 22+62, 43+62, 7+62];
%%
close all
iIN = 1;
iMonkey = 1;
figure(2)
funGauss2dSD = 20;
for iN = 1:2
... |
2e0f3588f1c6a4423cd4b9e9930d1aedd67b6504dc0649c6820b893ed9e2eced | MATLAB | 12,201 | 333 | function LocoAnalysis2b(inputname, timepoint, timewin)
%last update on November 29, 2021
%inputname='Gi10852';
inputname2=strcat(inputname, '_stimtb.mat');
load(inputname2)
%desired time precision in ms
precision2=10
MUprecision=precision2/1000;
nbbin=floor((timewin)/MUprecision)
%time window for response... |
687dad30ecffe24b316f1a8568b5de2c00e3dd1069d1f28845ddd7177a2f5e4b | MATLAB | 12,248 | 485 |
load('E:\learningAnalysis\summaryManyMice_includingOldEnvGoodMoreMice\dfofTrack\meanAllDfof.mat');
load('E:\learningAnalysis\summaryManyMice_includingOldEnvGoodMoreMice\dfofTrack\semAllDfof.mat');
meanG=meanAllDfof;
semG=semAllDfof;
load('E:\learningAnalysis\summaryManyMice_includingOldEnvBadMoreMice\dfofTrack\... |
a6647cbf3133363089d61f07dff5d78333ce39dfcbedc6a873bffce25cde59f5 | MATLAB | 12,266 | 300 | classdef CalcFindROIsFLIKA_3D < CalcFindROIsFLIKA
%CalcFindROIsFLIKA_3D - Class for FLIKA-based ROI identification (3D)
%
% The CalcFindROIsFLIKA_3D class is a Calc class that implements the 3D
% FLIKA algorithm for ROI identification. In the 3D case, ROIs are
% identified in the original 3D mask generated by FLI... |
449f473dfd884573e4240617ef8528c41cef20fdadbed57138a3ff26d79d3b3b | MATLAB | 12,278 | 308 | function [perf, result, testlabel] = mv_classify_timextime(cfg, X, clabel, X2, clabel2)
% Time x time generalisation. A classifier is trained on the training data
% X and validated on either the same dataset X. Cross-validation is
% recommended to avoid overfitting. If another dataset X2 is provided,
% the classifier i... |
00d643b11abb80af5c4a459ed0281140d499445baf9586ef318e930aae871263 | MATLAB | 12,379 | 275 | function totModel = buildFullUtilBrainModel(baseModel, fracN, fracA, TNM, TNG, TAM, TAG, mobUtilN, mobUtilA, TMT, addExtraATP)
% buildFullUtilBrainModel
%
% Generates a combined model with neurons, astrocytes, and 'the rest of the body' (rob).
% 100 model pairs of astrocytes and neurons with varying utilization (0.... |
7af9ffb5a11c022037ff34f80d030502316cb0672afebcb37906c2599361113d | MATLAB | 12,382 | 321 | function res = saveastiff(data, strPath, options)
% options.color
% : true or FALSE
% : If this is true, third dimension should be 3 and the data is saved as a color image.
% options.compress
% : 'no', 'lzw', 'jpeg' or 'adobe'.
% Compression type.
% 'no' : Uncompressed(Default)
% 'lzw' : loss... |
ad4df2654029a62568b7c89812eb92438a066e8459495a7c61f78a15d1eacc2b | MATLAB | 12,438 | 404 | %% Fig3
% Jiaxin Gao
% Zhejiang University
% email: jiaxin_gao@zju.edu.cn
%% depression and gain control(0.125s)
% The code for Fig 3B(left)
clear
clc
fs = 100;
addpath '.\tools'
load('.\Fig3_data.mat')
phy_coh_sum_ane = Fig3_Data.B.phy_coh_sum_ane;
phy_coh_sum_125 = Fig3_Data.B.phy_coh_sum_125;
phy_... |
75a578d6a579cd20843287ff726a405938cbe7fde07bb71bfda4c3b88051f59b | MATLAB | 12,492 | 318 | function TF_extract_singleTrial(rootDir, subVec, maskType, band, channels, contrast)
% TF_extract_singleTrial(rootDir, subVec, maskType, band, channels, contrast, GLMID)
%
% Compute trial-by-trial mean power within mask defined previously in
% two-condition permutation test (from EEGfMRIPav_grouplevel_TF_permutation.... |
199de064d743c788e241b2ad0dec9bcc9ca46460252d4b8493aaaf530768abc1 | MATLAB | 12,501 | 364 | function varargout = motion_correct(imgSeq, varargin)
%motion_correct - Motion correct an image sequence
%
% CORRSEQ = motion_correct(IMGSEQ) motion corrects imgSeq
% using the default parameters. IMGSEQ must be a numeric array with at
% least 3 dimensions. If IMGSEQ is an integer data type, it will be
% conve... |
df66b3e132eaac4a0efdef0220f581d1722cf4896f6b1ea17b50a1cd8ee1a96c | MATLAB | 12,528 | 363 | dblist=dir('*_data_*.mat')
minrelaxdur=0.03; %minimal duration of the relaxed/silent phase
twin=1; %timewindow in second
BurstTiming_CTL=[];
BurstTiming_WK7=[];
%temporary
for k=1:length(dblist)
load(dblist(k).name)
%%EXTRACTING DATA
%stim timebase
sttemp=[];
c_st=1;
for s=1:50:length(stim.times(:,1... |
9aec90b119ef922c1239b6f026cb99efdd1acac3508273f3dc3ca89ae9845013 | MATLAB | 12,626 | 368 | %% Analysis for Fig 2
% get data ready
allrespmean = [respmeancountryseed{[4 5 6 1 2]}];
allrespste = [respstecountryseed{[4 5 6 1 2]}];
keepfiles = intersect(alltargbursts(~any(isnan(allrespmean),2)),names);
[~,o1] = ismember(keepfiles,alltargbursts);
[~,o2] = ismember(keepfiles,names);
allrespmeanD = allrespmean(o1,... |
e0923607d525727ae45dd4560f0128912c1c5fe138210c80aa1f4362e3dce17e | MATLAB | 12,644 | 303 | classdef Test_Metadata < matlab.unittest.TestCase
% TEST_STREAKSCAN Summary of this class goes here
% Detailed explanation goes here
% ================================================================== %
properties (Constant)
imgSize = [513 512 2 10];
acq = struct('lineTime'... |
6a31d478201c91f43d39dda83ea03d0221fd8186787613259cd609db1604f0ca | MATLAB | 12,667 | 264 | function [bAPdistHM,mveloc_dend,mveloc_farax,mveloc_nearax,fig] = t2n_plotbAP(targetfolder_data,neuron,ostruct,targetfolder_results)
% This function uses the resulting data from t2n_bAP and plots the
% backpropagating spike amplitude as well as the delay versus distance to
% the root. Furthermore maps of the amplitud... |
d2a6c71de2e78c314baa079830a87098e78cdc117b49383d0d71870bc45f68c3 | MATLAB | 12,775 | 268 | function cm_data=viridis(m)
cm = [[ 0.26700401, 0.00487433, 0.32941519],
[ 0.26851048, 0.00960483, 0.33542652],
[ 0.26994384, 0.01462494, 0.34137895],
[ 0.27130489, 0.01994186, 0.34726862],
[ 0.27259384, 0.02556309, 0.35309303],
[ 0.27380934, 0.03149748, 0.35885256],... |
cec2c3e62872d45c7d5a771332dc75f6fa9ab63400ef86d7ab69b01c83a3dc61 | MATLAB | 12,839 | 270 | % -- compare performance for each model using each dataset
% -- expected directory structure:
% -- [raw_data]/[model_name]/[dataset_name]/[model_name|model_name_records|matlab_environment].mat
% -- [testset_path]: path to dataset used for the test classification
whereami = pwd;
raw_data = '/Users/gustavo/git/a... |
25c67ddf87f27b211bafd565333b3cc7ade34abf07bde4a9f0d3ed5c6f58c77d | MATLAB | 12,842 | 325 | function EEGfMRIPav_OutcomeLocked_1_preICA(rootDir, subVec)
% EEGfMRIPav_OutcomeLocked_1_preICA(rootDir, subVec)
%
% Read in complete data of one subject (separate blocks), concatenate
% blocks, re-reference, filter, linear baseline correction
% (complete pre-processing up to ICA).
%
% INPUTS:
% rootDir =... |
f9788fbc3f48c5fa3a8aea1380d9c93f52d4af47fd2824e23fd661f0c75d0547 | MATLAB | 12,873 | 286 | %% Use GLM to assess contribution of different variables
LKF_pred = cell(1,Nexpt); LKF_resp = cell(1,Nexpt); LKF_opts = cell(1,Nexpt); LKF_result = cell(1,Nexpt); LKF_summary = cell(1,Nexpt);
%figDir = 'D:\MATLAB\LevyLab\Figures\3D\GLM\'; mkdir( figDir )
GLMname = 'LocoKinFluor_2D_accelMag_60s'; % 'LocoKinFluor_2D_V... |
01b11f31913e39430dcc0f3ab9d888c429e10fb749228b6d2d39d0c5f0610c19 | MATLAB | 12,903 | 466 |
clear
close all force
warning on
load('a0_0_bhv2trialStrct.mat');
imSize = [733, 977];
load a7_2_createAvergedNOTMorphedHeatMapsLoad
hmAll2 = hmAll;
load('a6_2_createAvergedMorphedHeatMapsLoad')
NIm = [22,43,7, 22+62, 43+62, 7+62];
%%
close all
iIN = 1;
iMonkey = 1;
figure(2)
funGauss2dSD = 20;
for iN = 1:2
... |
3367a311b6371ba7266038dcfe3495ff4c696b28ade3cb47717063e0dd63a815 | MATLAB | 12,919 | 366 | % Batten, Bang, Kopell et al (2024) Dopamine and serotonin in human
% substantia nigra track social context and value signals during economic
% exchange
%
% Figure 2
%
% Visualization and analysis of behavioural data
%
% Written in MATLAB 2023a
%
% Dan Bang danbang@cfin.au.dk & Seth R. Batten srbatten10@vt.edu 2024
%%... |
e875b0e930676edb9c56d98bc5d869509bfc0a5448120a4700aa1fc52d41fc61 | MATLAB | 12,936 | 244 | clear; clc; close all;
dataDir = 'D:\2photon\'; %'C:\2photon';
dataSet = 'Afferents'; % 'Pollen'; %'Astrocyte'; % 'NGC'; % 'Neutrophil'; %
figDir = 'D:\MATLAB\Dura\Figures\CSD paper\';
% Parse data table
dataTablePath = 'R:\Levy Lab\2photon\ImagingDatasets.xlsx'; %'D:\MATLAB\ImagingDatasets.xlsx'; % 'D:\MATLA... |
f33f06ab0269b447badbdde737e0e0cc81d95ea5fc9862d79ce17e6cad7e571b | MATLAB | 12,952 | 288 | %% Use GLM to assess contribution of different variables
LKF_pred = cell(1,Nexpt); LKF_resp = cell(1,Nexpt); LKF_opts = cell(1,Nexpt); LKF_result = cell(1,Nexpt); LKF_summary = cell(1,Nexpt);
%figDir = 'D:\MATLAB\LevyLab\Figures\3D\GLM\'; mkdir( figDir )
GLMname = 'LocoKinFluor_ctrl_accelMag_60s'; % 'LocoKinFluor_2D... |
166619957f8bb27cc2d36828074395a429d54cf7b6be62f67aa3fa2ab916a416 | MATLAB | 12,967 | 373 | function [data] = SEV2mat(SEV_DIR, varargin)
%SEV2MAT TDT SEV file format extraction.
% data = SEV2mat(SEV_DIR), where SEV_DIR is a string, retrieves
% all sev data from specified directory in struct format. SEV files
% are generated by an RS4 Data Streamer, or by enabling the Discrete
% Files option in t... |
005564b47c57691ab20adad5ee9a357ed955bf65c40076773b41e1263a6a45a9 | MATLAB | 12,970 | 375 | function varargout = stack_slider(varargin)
%stack_slider - Display an image sequence with a slider
%
% stack_slider(IMG) is a utility function for visual inspection of image
% stacks. It displays a stack with a slider to scroll through frames.
%
% stack_slider(..., 'attribute', value, ...) uses the specified
% ... |
0650c15df9b6a404d95d5f6c2efe1c29fd57c59f130ff58da2be596061ca2605 | MATLAB | 12,976 | 219 | %% Use GLM to assess contribution of different variables
locoDeform_post_pred = cell(1,Nexpt); locoDeform_post_resp = cell(1,Nexpt); locoDeform_post_opts = cell(1,Nexpt); locoDeform_post_result = cell(1,Nexpt); locoDeform_post_summary = cell(1,Nexpt);
figDir = 'D:\MATLAB\LevyLab\Figures\3D\GLM\'; mkdir( figDir )
%rL... |
987472d41396effcbdc0d834343af5f944e8b5f93748cb2beb0efd623a1ba86d | MATLAB | 12,976 | 310 | function [somaRadiusList areaList DAPIlist region2D circularityList blurrinessList contactingNeuron unidentifiedObj roundCell loopNum blurImage darkRegion] = detectNeuron(multiMarkersIMG,intThresh,pixelThreshL,...
pixelThreshH,extendLenth,nucleusPixelThreshL,nucleusPixelThreshH,newfolderPath,neuronLabel,tileLabel,... |
fa37a0d223c0fcbae3a6b9319673782cc5173cd073acac3c926e1cd53033d3f2 | MATLAB | 13,007 | 275 | function plot_data_on_mesh( coordinates, varargin )
% PLOT_DATA_ON_MESH plots data on a 3D mesh object, e.g. data from
% electrodes/fMRI on a 3D cortical surface. Data is plotted either as a 3D
% scatter plot or as colored surface patches on the mesh surface itself.
% The coordinates to be plotted can be given either... |
9dd4a7306ecc625d0f3573a3a970f85784fc9a6b8ae6c23107e85a2258eb156b | MATLAB | 13,056 | 347 | % This script finds the best power law that relates the measured disparity
% distributions from the BORIS image dataset to the FI distributions from
% the neural datasets
clear all; close all;
% Load in FI data
load('./analysisFiles/physio/results_populationFI_withCorrelations.mat');
% Tasks for disparity statistics... |
c05a2e45cc78ba79a3bcd1e65b22f451887c53cfd2cc10896334efd2c06260e3 | MATLAB | 13,066 | 304 | function ret = GetSubjSessGui(varargin)
% This is a function, intended to be called from launch.
global h f LAUNCHSessList LAUNCHSubjList retvals
subjSelect = 1;
newSubj = 2;
returningSubj = 3;
newSubjBox = 4;
newSubjEditBox = 5;
newSubjEditBoxLabel = 18;
newSubjMale = 6;
newSubjFemale = 7;
newSubjEthnici... |
d02923e04be11d4c3d986a00226a1a5de56b0ff111519dd246e847d3a969b3d0 | MATLAB | 13,118 | 364 | outname='Database_17232'
%bin size (in s)
bin=0.01
%maximal latency
maxlat=0.05
maxlat=maxlat/bin;
%time window in sec to compute motor unit density
tw_pre=0.5;
tw_post=1.5;
Time=[];
tmbin=(tw_pre+tw_post)/bin;
for i=1:tmbin
Time(i,1)=-tw_pre+(i-1)*bin;
end
%transform tw in bins;
tw_pre=tw_pre/bin
... |
54be6bcba82f72f12918ddee5f60ba462c9843036c174f2aaa0b473178869619 | MATLAB | 13,148 | 357 | classdef Test_ImgGroup < matlab.unittest.TestCase
%TEST_IMGGROUP Summary of this class goes here
% Detailed explanation goes here
% ================================================================== %
properties
end
% =================================================================... |
cee1a4a77a4a48626ed5af25bac6b7685136863db5dd6fd0bc6a5af56458eb20 | MATLAB | 13,205 | 337 | function [job] = time_update_job(job)
% [job] = time_update_job(job)
%
% Complete settings for job on time-domain data to create.
% (data sets to create; plotting settings).
%
% INPUTS:
% job = cell, created via time_update_job.m, needs at
% least fields:
% .nSub = integer, number o... |
c1634b3f0c9391585e1eb031e153348e2e59cbcd65dcea1feedab8503663efb6 | MATLAB | 13,231 | 412 | % io_loadspec_niimrs.m
% Georg Oeltzschner, Johns Hopkins University 2021
%
% USAGE:
% out = io_loadspec_niimrs(filename);
%
% DESCRIPTION:
% Reads in MRS data stored according to the NIfTI MRS format.
% See the specification under
% https://docs.google.com/document/d/1tC4ugzGUPLoqHRGrWvOcGCuCh_Dogx_uu0cxKub0EsM/edit
... |
8ad8c9c7deb9ef24301a2cca5f91db9e051d3cea0d909c9b3c92232c43ceedb1 | MATLAB | 13,259 | 370 | function DTcalc = pmForwardModelCalculateMatch(DTDT,varargin)
% Creates a table with all parameters (defaults) required to perform a forward
% calculation
% To work with big tables, it can use parfor
%
% Inputs: table with one or several rows of parameters to calculate bold series
% in fwd model
%
% Outputs:... |
0b0b8df75eb33de7a3feea99d4b46a1af348bb7dbe8af646c9fb5143fac1abee | MATLAB | 13,288 | 339 | classdef ConfigFindROIsCellSort < ConfigFindROIsAuto
%ConfigFindROIsCellSort - Parameters for stICA-based ROI identification
%
% The CalcFindROIsCellSort class is a Config class that implements the
% Spatio-temporal Independent Component Analysis (stICA) algorithm for ROI
% identification. For further informati... |
bea8384e0fc293a4e0d60247c4deb0140e10453251f871dc027c3ef3d320a71d | MATLAB | 13,301 | 222 | % Compute grand average waveforms (GAW) on fast time scale time-locked to
% alpha phase fluctuation
%
% USAGE:
% GAWnode = computeGAWnode_fast_timescale(waveform_file, node)
%
% INPUTS:
% waveform_file - String that contains the filename of the ..txtwf
% waveform file output by the hybrid model C ... |
e16d4ffd5b6290ed43a04ab4f942dbc1ad9d571bb8c44efde025474e21b139a3 | MATLAB | 13,340 | 331 | function [placesupercell,pFR,allSfields,PFregionS,cellswithfields] = placefieldidentifierr(pc_ID,inX,...
idX,idXX,numoT,spktimes,spkpos,rawTC,spaBin,mazepart)
%Place field identification in each trial in stem
%input variables: ihmtx2Scorr (inX), clusteredPCS (idX), ihavePF (idXX),
%constrialnum (numoT), spatb... |
812e36ccdc6a80a0fa49363429d51d0e89812747d7049346a2acf137186d25ca | MATLAB | 13,357 | 346 | %% Licking Bout Epoc Filtering
% This example looks at fiber photometry data in the VTA where subjects
% are provided sucrose water after a fasting period.
% Lick events are captured as TTL pulses.
% Objective is to combine many consecutive licking events into a single
% event based on time difference and lick cou... |
11ba43dbcaefe172eeb2fa71054171ea72ec7d61bb1e4143165a247b81bfbf3b | MATLAB | 13,374 | 341 | classdef XSectScan < ProcessedImg
%XSectScan - Class to analyse diameter from vessel cross section images
%
% The XSectScan class analyses the diameter of vessels using axial cross
% section images. Typically, the vessel lumen will be labelled by a
% fluorescent marker, like a dextran conjugated fluorophore (e.g.... |
cba12b0bd391ba77550e0baffce02fb31b5eff32333324e404e68a8f7e64b224 | MATLAB | 13,394 | 362 | %%Aberra model for TMS -L23PC-cADpyr229_1
% MATLAB adaptation, Nicholas Hananeia 2021
function[] = Aberra_L23_model()
fclose('all');
% install T2N and TREES and add path for necessary files
run('./lib/init_t2n_trees.m');
if ~exist('./Aberra_files/lib_mech/nrnmech.dll', 'file') && ~exist('./Aberra_files/li... |
cc68277212c35989252a1f53c85e550ee4637a8f4de369f06e90524ee954e29e | MATLAB | 13,455 | 332 | function showTSNEPairs(unifyContextClasses ,averageAllBoutsFromSession ,...
NumTrees,TakeJustTheta,TakeJustGamma,matlabImpute,imputeIters, ...
substractMouseMean, usedMouseId,LeaveOut,balanceClasses,...
excludeClassesFromTrain,excludeClassesFromAnalysis, outFname)
%LeaveOut can be simuli (of a single ... |
17c417eada43e278642a69bca67a6e326a6f037d20c061cde7d06fccfe5a2347 | MATLAB | 13,463 | 292 | function job = taft_preprocess_initialize_job(EEGdomain, iSub, ROIs2use, behav2use, selTrials)
% job = taft_preprocess_initialize_job(EEGdomain, iSub, ROIs2use, behav2use, selTrials)
%
% Defines a job for each subject give a set of ROIs (file names to use),
% behavioral variables to use, selected trials.
% Use this... |
d3d9ac99b04fa25a8c90b00ef8f2120d32046eb6904389daadf7cb2904fdc01f | MATLAB | 13,470 | 328 | function EEGfMRIPav_OutcomeLocked_7_TF(rootDir, subVec, stimERPcor, responseSettings, outcomeSettings)
% EEGfMRIPav_OutcomeLocked_7_TF(rootDir, subVec, stimERPcor, responseSettings, outcomeSettings)
%
% Reject trials, compute surface LaPlacian filter (and at the same time
% interpolate bad channels). Final steps of p... |
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