sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
8d6638e36e11dcd6102c577f80e88374bb1c74a0f0aec24965b38ace750628b0 | MATLAB | 30,031 | 890 | clearvars
close all
clc
fieldtrip_path = [project_dir,filesep,'fieldtrip-20220906'];
if ~exist(fieldtrip_path,"dir")
error("change 'fieldtrip_path' to valid path")
else
addpath(fieldtrip_path)
end
addpath ./Violinplot-Matlab-master/
results_dir = '.\Figs'
script_dir = mfilename('fullpath');fname ... |
9210841c72db18f50cebc459cecb75538152ec1762f774d6353c0c60cad7aa17 | MATLAB | 30,062 | 734 | function varargout = ballistic_gui(varargin)
% ballistic_gui MATLAB code for ballistic_gui.fig
% ballistic_gui, by itself, creates a new ballistic_gui or raises the existing
% singleton*.
%
% H = ballistic_gui returns the handle to a new ballistic_gui or the handle to
% the existing singleton*.
%
% ... |
e1fa07dddb107579211007ce4ad682d804e6150fd2c6bfd8395d282f6673ec6c | MATLAB | 30,148 | 712 | %% Lick probability for individual mice
% Select lick responses based on brain regions of interest
load('E:\CM_Photoinhibition_Analysis\Cross_modal_task\Performance_control\photoInh_behav')
Genotypes = {'PV-Cre-Ai32'};
% Genotypes = {'PV-Cre-Ai32' 'VGAT-ChR2' 'all'};
inhSites = {'sham' 'S1' 'MM' 'ALM' 'AMM' 'Prt'... |
c8c890d76d8e944f4e58ff020e266b78f9517e8b9002b066d400e795441c098d | MATLAB | 30,171 | 420 |
%Set your directories
resultsDir='/projects3/TaskFCMethods/data/results/';
CABNP_dir='/projects/netpartitions/cabnp/';
%Set FC estimates to be from the HRFBasis data, but the activations to be from the canonical HRF data
output=output_BasisHRFs;
output.taskGLMVars_CanonicalHRF=output_CanonicalHRF.taskGLMVars;
%Load ... |
4a4639ee3b0153f93d94ea476e73b5ab5724e5bb4c8d56a7e6d427ed9fbe741b | MATLAB | 30,407 | 751 | %input: Spike raster mat file; behavioral mat file
% check vector(z_wi_vec, z_q_vec, and z_wq_vec) for responsive neuron;
% vector(zs_wi_vec, zs_we_vec, and zs_q_vec) indicate less divergent responsive neuron (only for lick response judgement);
% check vector(z_q_idx, z_w_idx, z_wq_idx, z_qw_idx) for time bias;
... |
c32c1dcc7af02caac85ab1a7815dec1fd0f215583a70ac9d970862efbb3ac795 | MATLAB | 30,513 | 856 | function [eprime_nruns,errcode,behav] = abcd_extract_eprime_sst(fname,varargin)
%function [eprime_nruns,errcode,behav] = abcd_extract_eprime_sst(fname,[options])
%
% Purpose: extract condition time courses
% from eprime data files for SST task
%
% Required input:
% fname: name of input eprime file
%
% Optional inpu... |
5e4665b0c5295965a5e682c1dffaf74ed240a8a76c3d3e15239f8d508f7556d2 | MATLAB | 30,640 | 633 | %% Code to simulate n (10) time series with the same spectrum as simulation challenge 1
len = 60; % len: simulation length (s)
fs = 200; % fs: sampling rate
ap_init = 1.5; % ap_init: initial aperiodic exponent (Hz^-1)
pk_cf = [8 18 8 8... |
ad473dfe8e862be16cbd5ae2eefb4173a0a1895609083cadbb8e647e4378f443 | MATLAB | 30,697 | 659 | function varargout = colorbarpwn(varargin)
%COLORBARPWN creates positive-white-negative colormap and colorbar.
% White is asigned to zero, if while location is not specified.
% Customized colormap/colorbar options are available for:
% - automatic/manual positive, white, and negative color.
% - predefined color... |
faf8459d702d597d890f16688478642cf91e0dcf47209bc31ba08579acca0aea | MATLAB | 30,717 | 792 | %BlandAltman Draws a Bland-Altman and correlation graph for two datasets.
%
% BlandAltman(Data1, Data2) - Data1 and Data2 have to be of the same size
% and can be grouped for display purposes. 3rd dimension is encoded by
% colors and 2nd dimension by symbols. The 1st dimension contains
% measurements within th... |
52a280e33c03dee1643026c42e0dd4f3531aea2d543b6b241273730ae326e575 | MATLAB | 30,726 | 690 | function [Xi,Yi,Zi] = polarplot3d(Zp,varargin)
% POLARPLOT3D Plot a 3D surface from polar coordinate data
% [Xi,Yi,Zi] = polarplot3d(Zp,varargin)
%
% Input
% Zp A two dimensional matrix of input magnitudes or intensities.
% Each column of Zp contains information along a single meridian. Each row
% ... |
986353e10c1af2240a2346ca38a05967174819b0b52371f72dacb83f0590c328 | MATLAB | 30,810 | 792 | %BlandAltman Draws a Bland-Altman and correlation graph for two datasets.
%
% BlandAltman(Data1, Data2) - Data1 and Data2 have to be of the same size
% and can be grouped for display purposes. 3rd dimension is encoded by
% colors and 2nd dimension by symbols. The 1st dimension contains
% measurements within th... |
862e5f99b20fa2bb0f4c88dcd62f45479459c1795410ce481e5495e256c39784 | MATLAB | 31,002 | 799 | function [ACSims, timingReport, fatnavdir] = processFatNavs_GRAPPA4x4(twix_obj, outRoot, varargin)
% function [ACSims, timingReport, fatnavdir] = processFatNavs_GRAPPA4x4(twix_obj, outRoot, varargin)
%
% Process the FatNavs contained within the file specified by the 'twix_obj'
% (loaded in using 'mapVBVD_fatnavs.m') - ... |
1323fad74f47683979aeb204b13d5ae67b13b3344994b8ca43ac5760c4cdab0a | MATLAB | 31,047 | 968 | clearvars
close all
AEC_results_adults = table({},...
'VariableNames',{'ID'});
AEC_results_kids = table({},...
'VariableNames',{'ID'});
if badtrls
project_dir = '.\Adults_badtrls\';
else
project_dir = '.\Adults\';
end
% conwin = [3,3.5];
% extension_T = '_3-3.5bl';
hp = 13;lp = 30;
... |
1459b6680cce181066f0c98e8d96331906f84eb145b031da0ca70e8c9edd8645 | MATLAB | 31,232 | 695 | function SpikeAnalysisSet20180703(n,U,M)
%AutocorÍSpikeArrayADrinkÍSpikeArrayWon,WaterOn/OffÅÍSpikeArray
%TouchÅÍSpikeArrayÆTðgpB
global StartTime FinishTime fname SpikeUnits TurnMarkerTime OneTurnTime RPegTouchAll LPegTouchAll DrinkOnArray dpath3...
MedPegTimeR MedPegTimeL RpegTimeArray LpegTimeArray... |
c140ba5c38080964c0ef4877bdc19bacbf2fc7cb6111b0306ef1d2a8cf19b75a | MATLAB | 31,234 | 1,004 | clear;
addpath(genpath('.'));
bigFont;
subpanels = 'AB C DE F';
NCOLS = 3;
NROWS = 3;
WIDTH = 8*2.54;
HEIGHT = 7.5*2.54;
close all;
[panel_pos, fig, all_ax, H] = panelFigureSetup2( NCOLS, NROWS, subpanels,WIDTH,HEIGHT, 0.5, 1.5);
PX_TO_UM = 1.085;
SCALE = 1.15;
FSZ = 20;
H(1).FontSize = FSZ;
H(2).FontSi... |
e0035593e6e85d7dede3fbe67d820c8776297010bedcb38579221042b692c092 | MATLAB | 31,637 | 938 | function [out, discharges, d_decim, envelope, background, envelope_pdf]=spike_detector_hilbert_v25(d,fs,settings)
% Mutichannel spike detector using statistical description of bacground
% activity to finding of spike suspected section. Algorithm allows resampling
% of signal (DEFAULT 200 Hz), detect fast discharg... |
94df22cd67ffc5eb5b661ba984dcb7332095c05f30a08921949d809515da8610 | MATLAB | 32,031 | 712 | function SpikeAnalysisSet20190214(n,U,M)
%AutocorÍSpikeArrayADrinkÍSpikeArrayWon,WaterOn/OffÅÍSpikeArray
%TouchÅÍSpikeArrayÆTðgpB
global StartTime FinishTime fname SpikeUnits TurnMarkerTime OneTurnTime RPegTouchAll LPegTouchAll DrinkOnArray dpath3 render ...
MedPegTimeR MedPegTimeL RpegTimeArray L... |
661718d528f6949892b7d4d112cf2d03a3ee3f1ad953481b3b06e60c7650401f | MATLAB | 32,060 | 1,095 | %% Housekeeping
clear;
close all;
clc;
%% Analysis parameters
% Define pre-processing for raw EEG data
params = echtparams('zeroPhase',1,'filterImplementation',1,'fslide',0,'tWin',[-0.250 0.500]);
CH = {'Fpz','Fz'}; % Electrode channel labels
% Select subjects to exclude from group analysis
exSub = {'Sub_151','Sub_... |
6fc038cb5cd1d71f7eaada3413553db5bce568680b658a2cf8e53f4f25a7e09b | MATLAB | 32,126 | 892 | %% Shinjini Kundu (c) 2022
%% Script that helps generate the results in the paper
%% 1. Demographics
load demographic; %load the demographic variables
load paper_indices; %indices in the filename order that are included in the paper
load original_volumes; %volumes of the original images
GROUP = 1; %choose... |
0ec42b9997c790135e453b1202420e1d22f8a15da76b6263529e201eaadfb61d | MATLAB | 32,277 | 1,126 | %% analyse factor analysis (June 2023 version)
sessionTags = {'M22027', '20220517';...
'M22029', '20220607';...
'M22031', '20220524';
'M22032', '20220621';
'M22033', '20220706'};
dataDir = 'C:\Users\edward.horrocks\Documents\Code\V1Dynamics\Data\basic_111022';
s = struct;
for isession = 1:5
tic
... |
4218780a9683e993d35b175aa007391c9cd3b7eba5ab3659cf3401d77025ae64 | MATLAB | 32,383 | 572 | %% FourCageDecision_Analysis
% Extract, analyze, and pool data from the 4cage experiments.
% For these experiments, a single animal (gregarious or solitarious) was
% places in a circular arena (d=90cm) with four stimulus cages, placed on
% opposing sides. The four cages were (i) an empty control Ctr, (ii) a cage
% with... |
87ef5a566b1d0afd5be15a7137507295fed16024fd8457a6c34366c590f2d34a | MATLAB | 32,719 | 832 |
function [pi_0_lsim , coupling_tetha_IM , transition_matrices_IM , gmm_para_lsim , AIC, log_likelyhood, BIC, pi_steady] = em_lsim( channels_observations , channel_num_states , num_gmm_component , max_itration , extra, init_model)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% SED inference
%%%%%%%%... |
2c00253b50dee93d9e239ba1b96bd21a7b523a23f2c2fa9414a46ca484475c29 | MATLAB | 32,833 | 593 | %% ConfocalAnalysis_StaticResponse
% This script analyses how stable repeated responses to the same stimulus
% are. For this, we project each stimulus repetition's intensity projection
% into PCA space and measure the distance within and across stimuli to
% asses their potential differences.
%
% Version:
% 05-Jan-20... |
270265324099d7cf59d9730f38d231555b2a2c35a2e195756a161e088ba9cecc | MATLAB | 32,933 | 932 | 3%Fusion Detector
% This script imports traces from putative fusions events and filters these
% events by detecting peaks and analyzing the surrounding areas. The traces
% for the remaining putative fusion events are plotted one at a time and
% the user confirms or rejects each hit. The final hits are stored in a
% va... |
ab759012fe3f2f3929c23e1161e8fce4c831f0110692de5e144b1e29d82eb92f | MATLAB | 32,942 | 871 | function [ClusterIDs,Centroids]=mnl_Basic_dCrawler(InputMatrix,EuThresh,FigYN)
% Function to create clusters based on the Euclidean Distances, this is the
% basic form with just a matrix provided. Now with improved speed on the
% Adjust clusters section. Then after the merge clusters the points outside
% the cluster ar... |
339b23ab4aed53ead10a946c3b9e354de3d665c34cae6a5f11fb9a19d07bff86 | MATLAB | 33,203 | 642 | function print2eps(name, fig, export_options, varargin)
%PRINT2EPS Prints figures to eps with improved line styles
%
% Examples:
% print2eps filename
% print2eps(filename, fig_handle)
% print2eps(filename, fig_handle, export_options)
% print2eps(filename, fig_handle, export_options, print_options)
%
% This fun... |
3fe41210a7534c0e4849a3cba3cbc09a402c68efdef2a82ab376f6c45131b8b3 | MATLAB | 33,244 | 917 | function varargout = venn (varargin)
%VENN Plot 2- or 3- circle area-proportional Venn diagram
%
% venn(A, I)
% venn(Z)
% venn(..., F)
% venn(..., 'ErrMinMode', MODE)
% H = venn(...)
% [H, S] = venn(...)
% [H, S] = venn(..., 'Plot', 'off')
% S = venn(..., 'Plot', 'off')
% [...] = venn(..., P1, V1, P2, V2, ..... |
f21347acbc35bc86fd011bb3535a84c95ad45c511f1e7d99a18dd16747912da2 | MATLAB | 33,425 | 833 | classdef (Hidden) sdk
%
% Class:
% adi.sdk
%
% This class is meant to be the singular access point for getting
% data from a LabChart file. Methods in this class call a mex
% interface which makes calls to the C API provided by ADInstruments.
%
% Function Definitions:
... |
9fb8b6c25f3c44293e964b466a255b4b1a988f01b4deef718908945c424a51c7 | MATLAB | 33,504 | 850 | function [eprime_nruns,errcode,behav] = abcd_extract_eprime_mid(fname,varargin)
%function [eprime_nruns,errcode,behav] = abcd_extract_eprime_mid(fname,[options])
%
% Purpose: extract condition time courses
% from eprime data files for MID task
%
% Required input:
% fname: name of input eprime file
%
% Optional inpu... |
abd042dec28e0f418c45247e1bed3e8cb02c70a72de5557268541901f2474ca6 | MATLAB | 33,646 | 1,071 | clear;
addpath(genpath('.'));
bigFont;
subpanels = 'AB C DEF';
NCOLS = 3;
NROWS = 3;
WIDTH = 8*2.54;
HEIGHT = 7.5*2.54;
close all;
[panel_pos, fig, all_ax, H] = panelFigureSetup2( NCOLS, NROWS, subpanels,WIDTH,HEIGHT, 0.5, 1.5);
PX_TO_UM = 1.085;
SCALE = 1.15;
FSZ = 20;
H(1).FontSize = FSZ;
H(2).FontSiz... |
da58e737e092da277137b444515a24a07a7e1856e26e339faf97d9de000dbc02 | MATLAB | 33,704 | 357 | function Montage = GetChannelPositionsFromLabels(Labels)
ChanInfo(1) = struct('Name','Fp1','CoordsPhi',-72.00,'CoordsRadius',1.00,'CoordsTheta',-90.00);
ChanInfo(2) = struct('Name','Fpz','CoordsPhi',90.00,'CoordsRadius',1.00,'CoordsTheta',90.00);
ChanInfo(3) = struct('Name','Fp2','CoordsPhi',72.00,'CoordsRadius',1.00,... |
b62f6627990e59a1f4f9d5622f26f7291eba38da80f98695700ccaa9b03e7498 | MATLAB | 33,823 | 688 | %% Load information about the raw data for rat37
filename = 'combined.dat'; % Concatenated Raw Data filename
ratID='rTBY37';
num_files = 1;
FileInfo = dir(filename);
nChansInRawFile = 256;
if ~isempty(FileInfo) % If the raw data is accessible
num_samples = FileInfo.bytes / (nChansInRawFile * 2);
elseif ismember(... |
65f868d6f4f62c1aa2a7f6d9310f68f7aa6f1d05ead59634e54d16f2168aa08b | MATLAB | 33,852 | 807 | function twix_obj = mapVBVD(filename,varargin)
% Reads Siemens raw .dat file from VB/VD MRI raw data.
%
% Requires twix_map_obj.m
%
% Author: Philipp Ehses (philipp.ehses@tuebingen.mpg.de)
%
%
% Philipp Ehses 11.02.07, original version
% [..]
% Philipp Ehses 22.03.11, port to VD11
% Felix Breuer... |
cedd2801d9cf06a15338e4bb7d7d663a3fd9f57efaed8348cd59edd4cdac6bb0 | MATLAB | 33,883 | 761 | % This script is to help the analysis of photometry data by automatically
% identifying the sections of data where
% there has been a bleaching and writing files, one for each bleaching
% experiment. The script also sleep scores and identifies the vigilance
% states over the region selected for analysis and outputs... |
275e9009cf92b0097a4a8e14869fc460ac89c081b841236184a506b60b8a39a0 | MATLAB | 33,902 | 828 |
function [pi_0_lsim , coupling_tetha_IM , transition_matrices_IM , gmm_para_lsim , AIC, log_likelyhood, BIC, pi_steady] = generic_em_lsim( channels_observations , channel_num_states , num_gmm_component , max_itration , extra, init_model)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% SED inference
... |
3aee2150c971d5263b52a3ae8834e1cf0d552c42ee70b3d28630a0e8a830d80c | MATLAB | 33,998 | 771 | function reconstructSiemensGREwithFatNavs_cluster_skipMoCo(rawDataFile, varargin)
% _skipMoCo version strips out all MoCo to speedup getting through ASPIRE
% pipeline for testing
[reconPars.outRoot, reconPars.tempRoot, reconPars.bLinParSwap, reconPars.bGRAPPAinRAM, reconPars.bKeepGRAPPArecon, reconPars.bKeepReconInRA... |
ca446121a88d9131cfaa5ba5165baf2f4f0f6182ef02c508b326ce39b3f287e1 | MATLAB | 34,157 | 736 | %Authors: Simon Wadle, 2019-2023
%
%% v2 adds: -deletion of sequences where the mouse moved
% -the option to not overwrite existing complete_data_Fall.mat files
% -to do batch processing of all animals (if you want to process
% only one animal just change the first for-loop t... |
c7cfeae6ee23453b6b1a471ecf41ef6a8a60f307613c6e6123540266eaa0ea9a | MATLAB | 34,169 | 689 | %% Classification of initial states of correct trials
% Trial-by-trial analysis
% For each session, all correct trials were used to calculate classification accuracy.
%
% load data array
load('E:\Data_array\AllTrials_100bin_noSmooth\data_array.mat')
% Import setting
mainDir = 'E:\CM_NeuralActivity_Analysis\C... |
10aaa9159461b88945bbbd29bdd1ce3b6c81555343e56bde8d3afcc16bb16938 | MATLAB | 34,184 | 807 | function twix_obj = mapVBVD(filename,varargin)
% Reads Siemens raw .dat file from VB/VD MRI raw data.
%
% Requires twix_map_obj.m
%
% Author: Philipp Ehses (philipp.ehses@tuebingen.mpg.de)
%
%
% Philipp Ehses 11.02.07, original version
% [..]
% Philipp Ehses 22.03.11, port to VD11
% Felix Breuer... |
03534d72ae0b8aa0dc182e09b588e4b8cd748e060b24179fd00a66252ddd12d9 | MATLAB | 34,282 | 1,082 |
% this script calculates corr bw FWF and SDMT in selected WM ROIs, without
% the lesions (=NAWM ROIs) or with the lesions (WM ROIs)
% normalized to the subject's space
clearvars
close all
clc
addpath(genpath('/storage/stella/MATLAB_toolboxes/'));
addpath('/storage/stella/Analysis/matlab_scripts/');
addpath('/storage/... |
7c8df3aac29c4913fcf51316477d3145b6970c8b568526a5037f5ba40354ce66 | MATLAB | 34,474 | 726 | close all
clc
clear
pth = 'G:\Sameni\Documents\Papers\Journal 40 (Spline ECG Filtering)\CODES\AllResultsRawFiles\';
% results_LPF = importdata([pth 'AllDataSmootherResultsNormal05_ComparisonWithLPF_Backup.txt']);
% results_WAVELET = importdata([pth 'AllDataSmootherResultsNormal06_ComparisonWithWavelet2_Backup.txt']);... |
6085ea0d1fe95412fe4ba54222c5f57c7b46677aff2e7f21f6a2c315f7f777b2 | MATLAB | 34,605 | 1,036 | % grandAveragePLVs.m
%
% Re-creation of "Mean Actual Phase histograms.png" from SBIR
%
% Created 2022-09-22 scott.bressler@elemindtech.com
% Adapted 2023-08-16 tylor.harlow@uconn.edu
%% Housekeeping
clear;
close all;
clc;
% Grab the default color order
co = [0.0000 0.4470 0.7410
0.8500 0.10 0.0980];
%% Load D... |
6bffe6188c05eea030b1a9f180e64e3578caa941fe2d12494afd38b3898b14e6 | MATLAB | 34,759 | 728 | % Similar to previous version; just changed the wavelet level calculations
close all
clc
clear
pth = 'G:\Sameni\Documents\Papers\Journal 40 (Spline ECG Filtering)\CODES\AllResultsRawFiles\';
results_LPF = importdata([pth 'AllDataSmootherResultsNormal05_ComparisonWithLPF_Backup.txt']);
results_WAVELET = importdata([p... |
30ccc39622a26f792d0a058ee200d343a1a118cee6bf4c867a423b4785a85ed0 | MATLAB | 34,806 | 957 | function [mua, musPrime, refInd] = XDOTHUB_getTissueCoeffs(tissue_label,wavelength)
% ####################### INPUTS ##########################################
% tissue_label : A string specifying the requested tissue. Options
% include 'scalp','skull','ECT','CSF','GM','WM'
% wavelength : i... |
fc2765d82821b8237fd14c98213ffb5a53b4cb095a0e2a2c85194faad65e0fb5 | MATLAB | 35,088 | 681 | function Cov_analysis24ch(RLpegTouchCell,RpegMedian1,LpegMedian1,TurnMarkerTime1,RLpegName1,RLpegMedian1)
%Turn²ÆÌÚGÔê\ðì¬
%1ñ]ÉêÂÌlÌÝBêÂàȢƫÍNaNð¢êéB
%TM©çÌPegÌMedianðîÉ1000msÈã£ê½mÍ
% Cell=RLpegTouchCell;TurnMarkerTime=TurnMarkerTime1;RLpegName=RLpegN... |
cd7cf559c881cc53d2aaa074716b961e8ce14358b17eae862bd7cb89b3b050e2 | MATLAB | 35,429 | 1,004 | %% Plot and analyse psth metrics
sessionTags = {'M22027', '20220517';...
'M22029', '20220607';...
'M22031', '20220524';
'M22032', '20220621';
'M22033', '20220706'};
dataDir = 'C:\Users\edward.horrocks\Documents\Code\V1Dynamics\Data\basic_111022';
for isession = 1:size(sessionTags,1)
fname = [se... |
94cfd81649d25e0d582e5519d7c5193c44cc64dbe51dba5eae0aa62a0825e4a2 | MATLAB | 35,453 | 664 | % To be run after Cluster_analysis_pipeline_between_days code, performs additional
% analyses and statistics
% Field 0 is not the combination of all FOVs in different subfields, but in
% case no subfield parcelation was selected
clearvars;
animals_in_group_1 = {'animal_1','animal_2','...'};
animals_i... |
8563a26e8085c0b2e26b33fbf4631a821d3d4d6166b753c63062d370c0f17c60 | MATLAB | 35,897 | 777 | %% GFP PEAK IDENTIFICATION
% This script automatically identifies the group-averaged GFP peak inside a
% period of interest (POI)
% Corentin Wicht
% Laboratory for Neurorehabilitation Science, UNIFR, CH
% 02.06.2020
% TO DO:
% - Do not let possibility to load different "Chanlocs", the files should
% always be avg. re... |
74e1652181438e5cc2749fbe041e7855330482785e6d501c36c260db0d95c0b1 | MATLAB | 35,915 | 1,026 | function [shape] = ft_read_headshape(filename, varargin)
% FT_READ_HEADSHAPE reads the fiducials and/or the measured headshape from a variety
% of files (like CTF and Polhemus). The headshape and fiducials can for example be
% used for coregistration.
%
% Use as
% [shape] = ft_read_headshape(filename, ...)
% or
% ... |
decb76df9450f7015caa0f1f085b853b447b6278e74355e4d62e4ca427ca7624 | MATLAB | 36,161 | 961 | function handles = distributionPlot(varargin)
%DISTRIBUTIONPLOT creates violin plots for convenient visualization of multiple distributions
%
% SYNOPSIS: handles = distributionPlot(data,propertyName,propertyValue,...)
% handles = distributionPlot(ah,...)
%
% INPUT data : m-by-nData array of values, or vector ... |
ad1580a4ec48e5de8c8f1ed49035a57e76371f3670ce3ff116d02d4221e6bfae | MATLAB | 36,487 | 619 | function RtIntervalAverage5Touch
global CCresultRtouchWon CCresultLtouchWon RpegTouchallWon LpegTouchallWon SpikeArrayWon tfile pegpatternname trimFolder2 pegpatternum RtIntervalAverageTouchCount RtIntervalAverageSpikeFR_Bin RtSpike_TouchRate
%SpikeArrayÅLPegTouchAllARpegTouchallðACµ½NXRIO
... |
40074432d061eba057f2c3ca27d19474ad42e07d956f340905c3699228a5e1bb | MATLAB | 36,545 | 967 | %Fusion Detector
% This script imports traces from putative fusions events and filters these
% events by detecting peaks and analyzing the surrounding areas. The traces
% for the remaining putative fusion events are plotted one at a time and
% the user confirms or rejects each hit. The final hits are stored in a
% var... |
a79c28e39f776bd06f79fc111686cca06bfcc439ba0881b1b4fe81943a7e1d55 | MATLAB | 36,556 | 579 | function [img, ser, mrprot] = parse_siemens_shadow(varargin)
% [img, ser, mrprot] = parse_siemens_shadow(dcm, debugOutput=false)
% function to parse siemens numaris 4 shadow data
% returns three structs with image, series header, mrprot info
% does not work with arrayed dcm()
% dependencies: parse_mrprot.m
% ... |
13df1ed8e309f966db58f7425579c36a6ef86367de3d3f8606f88dad4da351b4 | MATLAB | 36,765 | 1,406 | %% plot correlation analyses
sessionTags = {'M22027', '20220517';...
'M22029', '20220607';...
'M22031', '20220524';
'M22032', '20220621';
'M22033', '20220706'};
dataDir = 'E:\V1Data\Data\basic_111022';
for isession = 1:size(sessionTags,1)
isession
fname = [sessionTags{isession,1},'_', sessio... |
a505e648f6d13a4183a3b30659da85c043345db3c26d28a54cb837e3d9287ba8 | MATLAB | 36,779 | 626 | function LtIntervalAverage5Touch
%s[NÔÌ4ÂÌC^[o̽ÏðÆÁÄA3ÂÚÌEChEðîɵĽÏÌC^[oÅEChEðÝè·é
global CCresultRtouchWon CCresultLtouchWon RpegTouchallWon LpegTouchallWon SpikeArrayWon tfile pegpatternname trimFolder2 W123rate TouchCount pegpatternum LtIntervalAverag... |
6a224272d14308f65e4059a69eea909e93481c7243fc3e2c0de6b6d37e1c742d | MATLAB | 36,863 | 768 | function [BIDS,subjects] = spmup_BIDS_unpack(BIDS_dir,options)
% routine to read and unpack BIDS fMRI data (and anat)
% can also be used to list files to be preprocessed to pass to spmup_BIDS_preprocess
%
% FORMAT [BIDS,subjects] = spmup_BIDS_unpack
% [BIDS,subjects] = spmup_BIDS_unpack(BIDS_dir)
% [BIDS... |
6d579bffc5a3b2d68d440609b4e825433566d29bdcf7385ff52f1e64fa415746 | MATLAB | 36,995 | 948 | function [eprime_nruns,errcode,behav] = abcd_extract_eprime_nback(fname,varargin)
%function [eprime_nruns,errcode,behav] = abcd_extract_eprime_nback(fname,[options])
%
% Purpose: extract condition time courses
% from eprime data files for NBACK task
%
% Required input:
% fname: name of input eprime file
%
% Optiona... |
2a5d2ec3104e6488603559f7729e31fc8a54c6882e6665f9022235a4e72d7d0a | MATLAB | 37,006 | 812 | % Cut together all the image analysis stuff Steph gave me into one thing
% First find beads (ROI) make sure that this is acceptable before moving on
% to the next step. Then fit all the beads to gaussians and make sure each
% of these is acceptable. Loop through this routine for multiple images
% if noise is being re... |
12c7439e32a19fc92a1c8cfef289889bf1d583868216800e0974a00d4647442b | MATLAB | 37,234 | 1,206 | function RepeattouchWcombination
global CCresultRtouchWon CCresultLtouchWon RpegTouchallWon LpegTouchallWon SpikeArrayWon tfile pegpatternname trimFolder2
%SpikeArrayÅLPegTouchAllARpegTouchallðACµ½NXRIO
%SpikeArrayÅLPegTouchAllðAC·é
duration=5000;
CrossCoL=[];
CrossCoR=[];
%¼... |
48a6cb8b81dbd0dec25e4e9d15f2650be81017fa268feed78aea71e895c65714 | MATLAB | 37,388 | 1,161 | clear all;
close all; clc;
hexB10 = ([
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 1 1 1 1 1
0 0 0 0 0 0 0 0 0 0
0 0 1 0 1 1 0 1 0 0
0 0 0 0 0 1 1 0 0 1
0 0 1 1 1 1 1 0 1 1
0 0 0 0 0 0 0 0 1 1
0 0 0 0 0 0 1 1 0 0
0 0 1 0 1 1 0 0 1 0
0 0 0 1 1 1 1 1 1 1
0 0 0 0 0 0 0 0 0 0
1 0 0 0 0 0 0 1 0 1
0 0 1 1 0 1 1 1 0... |
3ff143b457a6ceae70fc00ee6a58dc901f914a3f7d4b6510e59eb4e681204fb6 | MATLAB | 37,727 | 883 | %% This script runs the GAM analysis described in methods, and replicates figure S5c
% To install pyGAM, follow the instructions here (https://pygam.readthedocs.io/en/latest/) for pip installation
% gz models correspond to view, pl to place and hd to head direction
clear all
close all
rng shuffle
load sample_data... |
19c98b16b5f9e4b31d2f97a15e60f4a28ab15b23261a02d923c196b23e5ea011 | MATLAB | 37,741 | 815 | function reconstructSiemensGREwithFatNavs_cluster(reconPars)
%% Check SPM and Fessler's toolbox are on path
if ~exist('spm.m','file') % could also check version, but that's more effort...
disp('Error - SPM (ver 12) must be on the path')
return
end
if ~exist('nufft_init.m','file')
disp('Error - Fessler ... |
b79573683981b212ee060c9584430d1667f69a52d030780a7cb3f4271d410a0e | MATLAB | 37,839 | 853 | % this script calculates the average value of Free Water fraction in
% selected WM tracts and brain tissues in the pool of Healthy Control
% subjects
clearvars
close all
addpath(genpath('/storage/stella/MATLAB_toolboxes/'));
addpath('/storage/stella/Analysis/matlab_scripts/');
run('/storage/stella/Analysis/DTI_FreeWat... |
291b74d4034031ba1a519a15ca74ed7ae94852e30543574d32518063eb6387e3 | MATLAB | 37,885 | 897 | function twix_obj = mapVBVD_fatnavs(filename,varargin)
%
% mapVBVD_fatnavs - Daniel Gallichan (daniel.gallichan@epfl.ch) -
% Small modifications to original mapVBVD.m (from Philipp Ehses) to also
% create output structures containing the data collected as
% FatNavs/FIDNavs/TrackDOTs.
%
% Original header:
%... |
a9482edebb471069cff402d30cb4f01d994b04cdd1922361f56f78c6ad32c2f2 | MATLAB | 37,954 | 735 | %%
%% SPATIOTEMPORAL BRAIN HIERARCHIES OF AUDITORY MEMORY RECOGNITION AND PREDICTIVE CODING - SYSTEMATIC VARIATION OF AUDITORY SEQUENCES (AUDITORY PATTERN RECOGNITION 2020) - LEONARDO BONETTI
%%
%% LOCAL COMPUTER - REVISION I - NATURE COMMUNICATIONS
%These codes were used locally to prepare plots with higher resolu... |
765935e52996bf69a2df76c045ba1c278087c097c81e83f25a155d9805d07c42 | MATLAB | 38,185 | 813 | function matsuda20190918
global RpegTouchallWon LpegTouchallWon SpikeArrayWon tfile pegpatternname trimFolder2 Spike_TouchRate IntervalCount FRvsIntervalTouchRate PhaseCountRate...
TouchCount PeakInterval PeakPhaseCount pegpatternum RLRcount LRLcount ...
LtTouchCount LtSpike_TouchRate Spike Spike_Bin SpikeFR... |
249ff9cf07090da97a8632d3cbc272737ed068941f819793c3ab5be67fe0403c | MATLAB | 38,235 | 841 | function Repeat3touch_pre
global CCresultRtouchWon CCresultLtouchWon RpegTouchallWon LpegTouchallWon SpikeArrayWon tfile pegpatternname trimFolder2 Spike_TouchRate TouchCount pegpatternum RLRcount LRLcount Spike Spike_Bin SpikeFR_Bin
%SpikeArrayÅLPegTouchAllARpegTouchallðACµ½NXRIO
%SpikeA... |
526894e93367e450ca34239823c0c7dc3a7959eea9406dcc25d4cd3e440e06eb | MATLAB | 38,247 | 953 | %----------------------------------------------------------------------
%BrainAmpConverter v1.7
%
%Conversion of physiological data recorded during fMRI scanning using
%Brainamp systems to HeRa (heart rate) and Autonomate (SCR) formatted
%files.
%
%Requires Fieldtrip IO functions for reading the EEG file created by Bra... |
d074dc16288061deb3dab7eba7c1713670557b8ae06eef9273b2f5b81bfa1801 | MATLAB | 38,385 | 854 | spike_thres =0.7;
thr = -10;
window_length = 0.1;
dt = 5e-5;
datarange = 19:20;
for i =datarange
if isempty(data(i).EPSP_singleclust)
continue
end
for n = 1:length(data(i).EPSP_singleclust)
data(i).amp_single{n} = [];
data(i).halfwidth_single{n} = [];
data(i).maxdv_single{n}... |
9ea6f868ff2f9d7d9b9a26a3f3f301d8301c140c3405f726f15db16b75a476b8 | MATLAB | 38,489 | 887 | %% This script runs the GAM analysis described in methods, and replicates figure S5c
% To install pyGAM, follow the instructions here (https://pygam.readthedocs.io/en/latest/) for pip installation
% gz models correspond to view, pl to place and hd to head direction
clear all
close all
rng shuffle
load sample_data... |
c029dd3c6c08c59efafc7781ada289d14a2a09881be642adeed6b70784148787 | MATLAB | 38,863 | 797 | % Similar to previous version; just changed the wavelet level calculations
close all
clc
clear
pth = 'G:\Sameni\Documents\Papers\Journal 40 (Spline ECG Filtering)\CODES\AllResultsRawFiles\';
% results_LPF = importdata([pth 'AllDataSmootherResultsNormal05_ComparisonWithLPF_Backup.txt']);
% results_WAVELET = importdat... |
b1a2d34af739c2fc4ad47556c59293af315a61f646222759d49bb963655b2652 | MATLAB | 39,524 | 782 | function [output] = Preproc_HCPData_PostMinPreproc_TaskRest_CanonicalHRFModel_v2(SUBJECTLIST)
% This function runs preprocessing and GLM analysis, after the HCP minimal preproccessing pipeline has been run.
% It is designed to parcellate a dataset into a set of regions, which are then preprocessed.
%
% Preprocessing s... |
636e0e8eac1ba6e525be6fd70e78b41dd471e79abcc5f65c33c4f440086d5f8d | MATLAB | 39,554 | 782 | function [output] = Preproc_HCPData_PostMinPreproc_TaskRest_CanonicalHRFModel24reg(SUBJECTLIST)
% This function runs preprocessing and GLM analysis, after the HCP minimal preproccessing pipeline has been run.
% It is designed to parcellate a dataset into a set of regions, which are then preprocessed.
%
% Preprocessing... |
58b8e6143178ca82da0060470f28cf87868aaab9689f0a60020566b89a64af15 | MATLAB | 39,658 | 783 | function [output] = Preproc_HCPData_PostMinPreproc_TaskRest_NoTaskReg(SUBJECTLIST)
% This function runs preprocessing and GLM analysis, after the HCP minimal preproccessing pipeline has been run.
% It is designed to parcellate a dataset into a set of regions, which are then preprocessed.
%
% Preprocessing steps includ... |
82855309c8722f473f7857fb624bede1d9c185c733864cd6e06fb886b879146f | MATLAB | 39,689 | 786 | % Author: Jan Hirtz - 2023
% based on concepts published in Beathellier et al. (2012): Discrete Neocortical Dynamics Predict Behavioral Categorization of Sounds. Neuron 76: 435–449
% allows for multiple sound cartegories to be stacked for analysis
% performs analysis of two experimental days to allow for compa... |
daae5dfe867532587dc8f3a7e84786934c0f921a879a886bdf0ee478dd983857 | MATLAB | 39,983 | 1,081 | classdef twix_map_obj < matlab.mixin.Copyable %handle
% class to hold information about raw data from siemens MRI scanners
% (currently VB and VD software versions are supported and tested).
%
% Author: Philipp Ehses (philipp.ehses@tuebingen.mpg.de), Aug/19/2011
%
%
% Modified by Wolf Blecher (wolf.blecher@tuebingen.mp... |
343899fa6cf3d7d06a88455938845f63da6944afd50e31bdfae823e817fa021a | MATLAB | 40,009 | 913 | function [pout, info] = spikeTimesPSTH(spikeTimes,intervalsCell,binWidth,options)
%% Input vars
% - spikeTimes is vector of spike times for the unit of interest
% - intervalsCell is a cell array of arrays (size: nTrials x 2) where the
% first column is the start time and 2nd column is end time of the period
% of inte... |
8070aa0609b078f05cad8cbf461485ce718ef6d9be15fdeda1483e87c1ac880a | MATLAB | 40,077 | 1,133 | classdef PreviewController < jrclust.interfaces.FigureController
%PREVIEWCONTROLLER
properties (SetAccess=private)
figData;
fileBounds;
hCfg;
hFigPreview;
end
properties (Dependent)
blankPeriod;
blankThresh;
CARMode;
channelMeansMAD;
... |
b9a0cc045d70d70b0cfa1e59867bbcaecbeed7dcd272bcf09872967564af0da1 | MATLAB | 40,259 | 971 | % Find location of clustered cells
%%%%%% Analysis workflow:
% cell_f_extraction_2P_doublecheckplanes_24012022a.m
% ExportPreprocesseddata_2PGlusensstim08022022.m
% Combine_2Pdata0802.m
% Analysis_combined_data_2P.m
% Locate2Pcells.m
% Chech_running_per_gluClasses.m
clear all
close all
clc
% params.colour_... |
c3b2b937b6cf7f3bdb18a56551988b631eedd608ef03cafb047f4a737d4e1e0f | MATLAB | 40,771 | 1,052 | function varargout = TopColture(varargin)
% TOPCOLTURE M-file for TopColture.fig
% TOPCOLTURE, by itself, creates a new TOPCOLTURE or raises the existing
% singleton*.
%
% H = TOPCOLTURE returns the handle to a new TOPCOLTURE or the handle to
% the existing singleton*.
%
% TOPCOLTURE('CALLBACK'... |
d8d2444ba556da07c082e6632906069cd691aeeccd8dd2014c8e2b475d07b587 | MATLAB | 41,460 | 873 | function PV_pavlovian_analysis_main(choosecells, preprocess, behavior, anatomy, recording, fiber_photometry, optogenetics, root_opto, root_FF, root_FF_shock, root_FF_SOM)
%PV_PAVLOVIAN_ANALYSIS_MAIN main data analysis funtion of PV-pavlovian project.
% PV_PAVLOVIAN_ANALYSIS_MAIN(CHOOSECELLS, RESDIR, PREPROCESS, BEH... |
d2405a2d289bde6f65b43293dfc409a1fbeb2e7ba84ddbdb692379d07ed6f0fc | MATLAB | 41,522 | 1,007 |
function [pi_0_lsim_approx , coupling_tetha_IM_approx , transition_matrices_IM_approx , gmm_para_lsim_approx , pi_0_lsim_exact, coupling_tetha_IM_exact, transition_matrices_IM_exact, gmm_para_lsim_exact, log_likelyhood,log2_likelyhood, log_likelyhood_exact, log2_likelyhood_exact] = em_lsim_exact( channels_observati... |
ac38792ed64e4642a22125ac65fb3c8117c6f2f5a5d933a649889e0426ee8fc0 | MATLAB | 41,537 | 1,247 | function [h,atab,ctab,outstats,aoc_fig] = aoctool1(x,y,g,alpha,xname,yname,gname,GRP_DIR, displayopt,model)
%AOCTOOL Fits a one-way anocova model and displays an interactive graph.
% AOCTOOL(X,Y,G,ALPHA) carries out a one-way analysis of covariance
% (anocova) using X as the predictor, Y as the response, and G as t... |
1c9256ecbbb5253770edcda8e28652308527ba6796f3f31454f94fc96a3537c9 | MATLAB | 41,735 | 3,778 | function GaitAnalysis3(data)
%t[ðÍ@f[^Ísize(num_frame,4)Ìsñ@EOA¶OAEãA¶ã
data=GetData;%dataðR}hÅ^¦éêÉÍRgAEg
% data(1:3,:)
RH=data(:,3);
RF=data(:,1);
LF=data(:,2);
RLF3=data(:,1:3);
% Lrh=length(RH)
% StartRHðîɵ½eCyclei1gCAjɨ¯éAswin... |
a8963f7bca842ac5bb3ed8ba501bd57b6e6af73a794604f641680a4104272c2a | MATLAB | 41,834 | 1,396 | function out = uipickfiles(varargin)
%uipickfiles: GUI program to select files and/or folders.
%
% Syntax:
% files = uipickfiles('PropertyName',PropertyValue,...)
%
% The current folder can be changed by operating in the file navigator:
% double-clicking on a folder in the list or pressing Enter to move further
% dow... |
bb6bc8eb64078031c4763de5271f7049823cfdeea08cc97f02b577e068bc1837 | MATLAB | 41,893 | 1,116 | function [refpts_10_2p5,refpts_10_2p5_labels,refpts_10_5,refpts_10_5_labels,ten2p5_to_ten5] = getSolutionSpace(pathnameHeadModel,pathnameMSHS)
% This function computes the 10-5 and 10-2.5 locations on the head surface and saves
% them under /Utils/scalpSolutionSpace_10_2p5.txt and /Utils/scalpSolutionSpace_10_5.txt
%... |
4fbd5078cba0f551b9cec9a95f770a687c50da12f0b0948d00700bbbf2761ab3 | MATLAB | 42,086 | 970 |
function burst_report(app)
%BURST_REPORT writes graphs and xls sheets with results of burst analysis
% Detailed explanation goes here
tmp = [];
for i = 1 :length(app.stat_group)
tmp = [tmp ,app.stat_group(i).signals];
end
tmp = unique(tmp);
name_str = {};
for i = 1 : length(tmp)
if iscell(app.data(tmp(i)).na... |
8831a33651c8fb02e79a71457a051e205c186ef13d67a16c8053c187a3aaba36 | MATLAB | 42,315 | 1,032 | function stats=mes(X,Y,esm,varargin)
% ** function stats=mes(X,Y,esm,varargin)
% computes measures of effect size or related quantities between two
% samples (2-sample analyses) or one sample and a null value (1-sample
% analyses). The output consists of effect size measure(s), t statistics,
% and 95% confidence interv... |
7350d83628cd011475f087eec0b50a85ebae641b278bfbee19c957344c324170 | MATLAB | 42,685 | 969 | %% SPRiNT (without Brainstorm)
% Inputs
F = xs; % Input time series
% STFT opts
opt.sfreq = 200; % Input sampling rate
opt.WinLength = 1; % STFT window length
opt.WinOverlap = 50; % Overlap between sliding windows (in %)
opt.WinAverage = 5;... |
5c429341b1bbdeb8f16da9f7694538fbb7375011b7807c2832eed1aef4fa5dab | MATLAB | 42,767 | 629 | function Repeat_Repeat20210107
global RpegTouchallWon LpegTouchallWon SpikeArrayWon tfile pegpatternname trimFolder2 pegpatternum ...
LtPositiveFiringRate RtPositiveFiringRate LtPositiveFiringRateP1 RtPositiveFiringRateP1 Spikeposition Windowinterval ...
intnum=21;
phasenum=21;
LtPositiveFiringRateArray_g... |
867045ed1868d867b5f91a776fea03adbd2b8b4cf1d2f0e4ecddfa92c9989f30 | MATLAB | 43,241 | 639 | function Repeat_Repeat20210107
global RpegTouchallWon LpegTouchallWon SpikeArrayWon tfile pegpatternname trimFolder2 pegpatternum ...
LtPositiveFiringRate RtPositiveFiringRate LtPositiveFiringRateP1 RtPositiveFiringRateP1 Spikeposition Windowinterval ...
intnum=21;
phasenum=21;
LtPositiveFiringRateArray_g... |
e911c801151b2bd1e13209836081ba8c36c4c299827b4456a5ab2bc6737b7ca4 | MATLAB | 43,602 | 1,075 | function Display_Reconstruction(P,Data,Label)
% P is the handle class containing all project and gui data.
% Data = P.Data(p), where p is the current selected project. It is passed separately as a struct for faster reading (reading a handle class property in a loop is very slow).
Raw_Image_Func_2D = @(x) im2uint... |
7cc1f7a3d8989dcebc194ecb45ccfc8152bc85e75d0166ebfa4e7f924647c49a | MATLAB | 43,723 | 1,058 | function Display_Reconstruction(P,Data,Label)
% P is the handle class containing all project and gui data.
% Data = P.Data(p), where p is the current selected project. It is passed separately as a struct for faster reading (reading a handle class property in a loop is very slow).
Raw_Image_Func_2D = @(x) im2uint... |
6846b5ee5b0d29386a6e36f97de864cda398d4a5e62746672a4c5ec1e4ea0ee4 | MATLAB | 43,973 | 814 | %% Create a class
classdef Analysis
methods(Static)
function spkRs = GetSpikeRate(se, bin, tStart, tEnd)
% Inputs
% bin size (sec), time window of interest (from tStart to tEnd)
%
% Outputs
% spike rate (spkRs)
... |
97df415ffcff1a09bc2b2766887d7490caaabe5b9834e2cf86b448363cf4b500 | MATLAB | 44,135 | 1,729 | function varargout = Image_processing(varargin)
% IMAGE_PROCESSING M-file for Image_processing.fig
% IMAGE_PROCESSING, by itself, creates a new IMAGE_PROCESSING or raises the existing
% singleton*.
%
% H = IMAGE_PROCESSING returns the handle to a new IMAGE_PROCESSING or the handle to
% the existing ... |
6bf94822c2062aff9dc4619b7bad33a641a5bd6f0fa19fbd23b373cfc1d2dcb6 | MATLAB | 44,276 | 759 | %% plot OS tuning numbers
%Table of contents
%
% 1-initial loading
% 2-Tuning: just NR, all cells
% 3-Tuning: EO vs NR vs DR vs B2KO, avgs per FOV
% 4-Proportion of subtypes per FOV and across conditions
% 5-Proportions: Specifically just Directions.
% 6-Proportion: ON/OFF subtype prop comparisons against Gca... |
9f33988aecf705b3e6eda2d7ee1676e7b186e8b2a56d4daf25f3528d9818e80b | MATLAB | 45,077 | 424 | function [RpegTouchCell,LpegTouchCell,RLpegTouchCell,RLpegName,RLpegMedian,RpegTouchTurn,LpegTouchTurn]=PegTouchAnalysis(PegTouchCell1,SliderTouch1,TurnMarkerTime,OneTurnTime1,RpegTimeArray2D,LpegTimeArray2D,FTselect)
%'PegTouch'ÍsensorÌîñð¾½¾¯B12ch·×ĪRpeg12{ÉèÄçêÄ¢éÆ«ÉÍPegTouch¾¯Åà... |
f9df48bd0f3dd9e765bac97ab88aecd4919fb285959ab04cfc381b3b023967d4 | MATLAB | 45,440 | 1,008 | function index()
% This is the root script for the GUI.
% Project_H is a pointer to structure Project, defined as a class handle in Project_Class.m.
close(findall(0,'type','figure')); % Close all figures.
clear; % Clear workspace.
cd(fileparts(which(mfilename))); % Change to the directory of this file.
% ... |
85248eb94b8a13e28d42c4dfe18835fd1e460f1aad87cfe993732a431ddfe30e | MATLAB | 45,893 | 1,015 | function index()
% This is the root script for the GUI.
% Project_H is a pointer to structure Project, defined as a class handle in Project_Class.m.
close(findall(0,'type','figure')); % Close all figures.
clear; % Clear workspace.
cd(fileparts(which(mfilename))); % Change to the directory of this file.
% ... |
488de2756cd16ad1d18247779f7a2756b67a70bef611c02c74d3879244ca936b | MATLAB | 46,342 | 862 | function RtPeakTouch
global CCresultRtouchWon CCresultLtouchWon RpegTouchallWon LpegTouchallWon SpikeArrayWon tfile pegpatternname trimFolder2 pegpatternum RtTouchCount RtSpikeFR_Bin RtSpike_TouchRate...
RtTouchCount1 RtTouchCount2 RtTouchCount3 RtTouchCount4 RtSpike1FR_Bin RtSpike2FR_Bin RtSpike3FR_Bin RtSpike4F... |
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