sha256 stringlengths 64 64 | language stringclasses 27
values | size int32 1 491k | lines int32 1 21.8k | content stringlengths 1 200k |
|---|---|---|---|---|
60a05803c1173e6d9d9be0c1c16af5cd4b7877136083cdee1a66c0bedcfeeaf3 | MATLAB | 5,326 | 149 | %% Basic Image Visualization
%%
% Using Basic Plot Methods (plot, orthviews, and montage) to Examine a Dataset
%
% Objects can have methods with intuitive names, some of which overlap
% with names of functions in Matlab or other toolboxes. fmri_data.plot()
% is one of these. When you call plot() and pass in an fmri_da... |
0bc57e208589e8f409ced3db456bbe3330ce37625aff922ffb9a7058538de8df | MATLAB | 5,327 | 162 | % pop_comments() - edit comments
%
% Usage:
% >> newcomments = pop_comments( oldcomments);
% >> newcomments = pop_comments( oldcomments, title, newcomments, concat);
%
% Inputs:
% oldcomments - old comments (string or cell array of strings)
% title - optional window title (string)
% newcomments - new co... |
5570d39995eb2ec3993da786e8116e1cf0991efdca308e40bcce9f2ca3103329 | MATLAB | 5,327 | 126 | function mismatched_parcels = CBIG_hMRF_find_parcels_mismatched_topology_indirect_nbors(lh_full_label,...
rh_full_label, threshold, expansion_steps, mesh_type)
% mismatched_parcels = CBIG_hMRF_find_parcels_mismatched_topology_indirect_nbors(lh_full_label,...
% rh_full_label, threshold, expansion_steps, mesh_type)
... |
acc739d8a75d6758cd28ad9c49fb4657e19965da0d54e2f830d8c25f9403b950 | MATLAB | 5,336 | 103 | function [S,f,R,varS,zerosp,C,Serr]=mtspectrumsegpt(data,win,params,segave,fscorr)
% Multi-taper segmented spectrum for a univariate binned point process
%
% Usage:
%
% [S,f,R,varS,zerosp,C,Serr]=mtspectrumsegpt(data,win,params,segave,fscorr)
% Input:
% Note units have to be consistent. See chronux.m for more i... |
d02397a1295e065169478eec42e956175fc4a630ffac894419d85678d5b5a15d | MATLAB | 5,336 | 204 | function [kcMax,A0,d0,d] = getDcorr1D(sig,r,Ng,figID)
if nargin < 4; figID = 0; end
if ischar(figID)
figID = 0;
fastMode = 1;
else
fastMode = 0;
end
if nargin < 3; Ng = 10; end
if nargin < 2; r = linspace(0,1,50); end
% input check
if length(r) < 30
r = linspace(min(r),max(r),min(30,(numel(sig)+1)/2)... |
f2f22f14538b44f2cc725227d5d3b5d5357f8e412210a91dc8917bcdf9def030 | MATLAB | 5,336 | 118 | ccc;
RAWDATAPATHs = dir("..\MAT Data\raw\**\7-10Freq Passive\**\*.mat");
% Date filter
DATESTRs = {'cc20220520', 'cc20220801', 'cc20221014', 'cc20221015', ...
'xx20220711', 'xx20220820', 'xx20220822', 'xx20220913'};
RAWDATAPATHs = RAWDATAPATHs(contains({RAWDATAPATHs.name}, DATESTRs));
MATNAMEs = {RAWDATA... |
c03fe1b4883a340356aee68da9f32c91832529a5c0642530607a09549abe6596 | MATLAB | 5,337 | 207 | % Load NIFTI header extension after its header is loaded using load_nii_hdr.
%
% Usage: ext = load_nii_ext(filename)
%
% filename - NIFTI file name.
%
% Returned values:
%
% ext - Structure of NIFTI header extension, which includes num_ext,
% and all the extended header sections in the header extension.
% ... |
dcd273675a30534ca16bbe9a0f375e104b7514315cf299428e340541e77c7bb8 | MATLAB | 5,339 | 142 | function ea_run(cmd, options)
% This function is the main execution function of Lead-DBS. It is
% distributed within Lead-DBS toolbox (www.lead-dbs.org)
% __________________________________________________________________________________
% Copyright (C) 2016 Charite University Medicine Berlin, Movement Disorders Unit
%... |
3078ef236a1932acd6602646b668c3ef1016ffd4f0d679b279fc4ec7f7b161e9 | MATLAB | 5,344 | 156 | function hFig = plot_brain_mesh_regions(p, e, brain_nodes_idx, roi_maps, roi_centers_mm, roi_names, varargin)
%FNIRSPOWER.MEASPRED.PLOT_BRAIN_MESH_REGIONS
% Plot brain mesh (iso2mesh) and optionally overlay ROI maps + ROI centers.
%
% Required
% p : nNodes x 3 node coordinates
% e : ... |
6027c4b62bd1548fbdcf1b72f63541113522c0a6593a9acceaa08814c898c21c | MATLAB | 5,345 | 182 | function varargout=subsref(obj,subs)
% SUBSREF Subscripted reference
% An overloaded function...
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: subsref.m 6804 2016-06-08 16:58:48Z john $
if isempty(subs), return; end
s... |
e0af7cf6e2aed2dc2ea99e3df8c7c1f9b1d76243ffcb92697727f89ac692699a | MATLAB | 5,345 | 99 | function [Fval,A,f,sig,sd] = ftestc(data,params,p,plt)
% computes the F-statistic for sine wave in locally-white noise (continuous data).
%
% [Fval,A,f,sig,sd] = ftestc(data,params,p,plt)
%
% Inputs:
% data (data in [N,C] i.e. time x channels/trials or a single
% vector) - required.
% ... |
07854f2b4ab98dbe4d71db0ae4d0623e77f8eef9cb419fd18fd73cd45c4b6ca3 | MATLAB | 5,346 | 121 | %
% animals = {'3xTg136' 'WT162' 'WT78-0' '3xTg75-1' 'WT77-0' '3xTg79-0' 'WT89-0' 'WT98-0' '3xTg77-1' 'WT158' 'WT153' 'WT157' '3xTg125' 'WT126' 'WT45-1' 'WT45-2' 'WT47-0' '3xTg48-0' '3xTg49-2' '3xTg49-1' 'AD-WT-1-0' '3xTg1-1' 'WT159' 'WT105-0' 'WT69-1' 'WT173' '3xTg165' '3xTg177' '3xTg148-1' 'AD-WT-44-1' '3xTg132' 'W... |
1a0b92f5e3e5f1fcb53c82ac8810d76e7c5892054416a58be29b0c1a0ba65b75 | MATLAB | 5,346 | 168 | % icaproj() - project ICA component activations through the
% associated weight matrices to reconstitute the
% observed data using only the selected ICA components.
% Usage:
% >> [icaprojdata] = icaproj(data,weights,compindex,[datameans],chansout);
%
% Inputs:
% data - data matrix (ch... |
890aed453332391ecdaee2259dc5ecfe41fcd6f8ccfb7b83db4380d160c8a98c | MATLAB | 5,346 | 126 | function out = impexp_run_ftrstruct_Curves2dx(job,cmd)
% Query an ftr_struct and extract some fiber sets in a format suitable for
% import by fancy_render.
% Structure of job:
% job.ftr.ftrname{1} - file name
% or .ftrstruct - ftr struct
% job.fibers.all - all fibers
% or .index - vector of fiber indi... |
a9a8a83b8544fcdfb2a7cddcdfb1490c25962ce4962f68c69ccf2797477e2abc | MATLAB | 5,346 | 167 | function T_S_C_p = CBIG_blAge_edu_amyloid_apoe_disDura_onsetAge(subInfoFile, GMICVFile, K, Q, dx)
% T_S_C_p = CBIG_blAge_edu_amyloid_apoe_disDura_onsetAge(subInfoFile, GMICVFile, K, Q, dx)
% Which quantity? Q
% 1 for baseline age, 2 for edu, 3 for amyloid, 4 for APOE-2, 5 for APOE-4,
% 6 for disease duration, 7 for on... |
e19694900610b9a3fa7e3f06ce4873a3cb29b5aa8472b4b459f78f28c33330a8 | MATLAB | 5,346 | 89 | function [C,phi,S12,S1,S2,f,zerosp,confC,phistd,Cerr]=coherencysegcpt(data1,data2,win,params,segave,fscorr)
% Multi-taper coherency,cross-spectrum and individual spectra computed by segmenting
% two univariate time series into chunks - continuous and point process stored as times
%
% Usage:
% [C,phi,S12,S1,S2,f,zero... |
e4d0cc611d2d516a94366edaf6730f314b8a3eaea39ceb64c830e898982d6b15 | MATLAB | 5,346 | 173 | function h = qqPlot(varargin)
%QQPLOT Quantile-quantile plot with patch option
%
% IOSR.STATISTICS.QQPLOT(Y) displays a quantile-quantile plot of the
% sample quantiles of Y versus theoretical quantiles from a normal
% distribution. If the distribution of Y is normal, the plot will be
% close to linear.
%
% ... |
4f89575402ff221a6b6233bb3e20cc11993dbdda33595c85ea9f69f45640c042 | MATLAB | 5,348 | 152 | % Contact ythomas@csail.mit.edu or msabuncu@csail.mit.edu for bugs or questions
%
%=========================================================================
%
% Copyright (c) 2008 Thomas Yeo and Mert Sabuncu
% All rights reserved.
%
%Redistribution and use in source and binary forms, with or without
%modification, a... |
65e96eb086260ef598a6f86f9e6e1623c0f8c4e73f447429faef3fd40f0f0ba6 | MATLAB | 5,351 | 103 | function [C,phi,S12,S1,S2,f,zerosp,confC,phistd,Cerr]=coherencypb(data1,data2,params,fscorr)
% Multi-taper coherency,cross-spectrum and individual spectra - binned point process
%
% Usage:
%
% [C,phi,S12,S1,S2,f,zerosp,confC,phistd,Cerr]=coherencypb(data1,data2,params,fscorr)
% Input:
% data1 (in form sam... |
f3f4d211991395460867d9a06f397053835399fe395cc27e22cff05fb48434a5 | MATLAB | 5,351 | 205 | function [fft_data,varargout] = TDTfft(data, channel, varargin)
%TDTFFT performs a frequency analysis of the data stream
% [fft_data, fft_freq] = TDTfft(DATA, CHANNEL), where DATA is a stream
% from the output of TDT2mat and CHANNEL is an integer.
%
% fft_data contains power spectrum array
% fft_freq... |
e9f1cdcddbc9a9c27f6ae475910fc028ef118372a7a23c6c5527ee6942a7c4ee | MATLAB | 5,354 | 145 | % pop_firwsord() - Estimate windowed sinc filter order depending on
% window type and requested transition band width
%
% Usage:
% >> [m, dev] = pop_firwsord; % pop-up window mode
% >> m = pop_firwsord(wtype, fs, df);
% >> m = pop_firwsord('kaiser', fs, df, dev);
%
% Inputs:
% wtype - char arra... |
fe8c4b78bb30972baa554a260d93160962c88aee0abcdfe8d9126fbd776f53b7 | MATLAB | 5,358 | 196 | % Iterations over different thresholds, kappa_p and NB initial perimeters.
% Plotting success and max E-level heatmaps shown in Figure S4
% To speed up comment line 79 in
% SOP_multicell_LI_adapted_weighted_with_trigger_PerimSave.mat before
% running this script to avoid saving simulations movies for each
% iteratio... |
3dda71f2c93e637175cccb24b3b26e6e54780ac1cacc7d9240feb8416bb5f459 | MATLAB | 5,362 | 119 | %% Temporal changes of correlations
load y2_tw; % Load time window information
for i_block = 1:2 % 1: movie, 2: shuffled movie
if i_block == 1
load('x2_corr_movie.mat');
else
load('x2_corr_shuffle.mat');
end
[n_ses, temp] = size(x2_corr_CA1);
n_tr = (temp - 1) / 2; % ... |
b53428af6bfb0a323ce80a4d39b1ac7b9f96eedc87a49d62069e43324334c0e4 | MATLAB | 5,364 | 103 | function [heights, widths, peak_locs, mask] = thresholded_peaks(spikes)
% THRESHOLDED_PEAKS Finds height/width of threshold crossing peaks.
% [HEIGHTS, WIDTHS] = THRESHOLDED_PEAKS(SPIKES) takes a spike-sorting
% SS object SPIKES with M spikes and returns two (M x 1) vectors
% HEIGHTS and WIDTHS, containin... |
c1a573c25dd1e5b33e89141d32e9675fb08104cba7e2996877e4caaa8bfee752 | MATLAB | 5,366 | 152 | %% Atlas 2012 behavioral data plot
% This example shows how to plot line plots for multiple conditions with
% error bars and calculate and plot violin plots for contrasts, with
% missing data.
%% General instructions
%
% Before you start, the CANlab_Core_Tools must be added to your path with
% subfolders. Otherwise, y... |
37b8861e8e84468aeeb941655852818d87f739c47b11150ceef68096743acee7 | MATLAB | 5,372 | 152 | % snapread() - Read data in Snap-Master Standard Binary Data File Format
% Reads Snap-Master header and data matrix (nchans,nframes).
% Ref: Users Guide, Snap-Master for Windows (1997) p. 4-19
% Usage:
% >> data = snapread(filename); % read .SMA file data
% >> [data,params... |
a49cfef3e5114b0638bd050e74c7717b276cb4f551593c7a8a29b7376a8e8db6 | MATLAB | 5,372 | 145 | % pop_chansel() - pop up a graphic interface to select channels
%
% Usage:
% >> [chanlist] = pop_chansel(chanstruct); % a window pops up
% >> [chanlist strchannames cellchannames] = ...
% pop_chansel(chanstruct, 'key', 'val', ...);
%
% Inputs:
% chanstruct - channel structure. See readl... |
feaacde819e7c581d78a82896d0ea052c825dc9f6ad7c5233bed46cf1211a96f | MATLAB | 5,373 | 142 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Generate Whole-Brain and Thresholded GMV Weight Maps for CCA Modes
% Author: Yuan Zhang
% Date: 2025-07-25
%
% Description:
% This script generates NIfTI brain maps and thresholded maps
% for both math- and reading-related modes, across both C... |
84f247e1678b5ec8f462c004f42d9ef6692636e4949449dbffc42b5ab7d14168 | MATLAB | 5,375 | 138 | function [res,pars]=inf_perform_regularized_crossvalidation(k,irep,mesh,ID,X,F_prime,L,o_keep_all_trajectory...
,o_force_constraint,constraint_algorithm,o_use_initial_guess,nCores)
% This file is a part of the MDSINE program.
%
% MDSINE: Microbial Dynamical Systems INference Engine
% Infers dynamical systems models... |
716bf4894de2916be80d532badb62393df610464365fa37c35ea5e68cb4a04a9 | MATLAB | 5,376 | 114 | % std_readcustom() - Read custom data structure for file save on disk.
%
% Usage:
% >> data = std_readcustom(STUDY, ALLEEG, fileext, 'key', 'val', ...);
%
% Required inputs:
% STUDY - an EEGLAB STUDY set of loaded EEG structures
% ALLEEG - ALLEEG vector of one or more loaded EEG dataset structures
... |
048d1ab7bf5641d76ecd5644acc0426b04f826c750f957dab7f8bf42040e37be | MATLAB | 5,378 | 90 | function [C,phi,S12,S1,S2,f,zerosp,confC,phistd,Cerr]=coherencysegcpb(data1,data2,win,params,segave,fscorr)
% Multi-taper coherency,cross-spectrum and individual spectra with segmenting
% computed by segmenting two univariate time series into chunks - continuous and binned point process
%
% Usage:
% [C,phi,S12,S1,S2,... |
1483b130da2574e33622d71cd40dc5a8e173b1f8a41dcc39c41db3a87660936d | MATLAB | 5,378 | 137 | function saveNEVSpikes(spikeStruct, newFileName)
% saveNEVSpikes
%
% Allows the user to save a modified version of the spike waveforms into a
% NEV file. This can be very useful for those who want to save MATLAB
% sorted or rethresholded NEV data back into the NEV file. It also re-saves
% the other data in the origi... |
d79be20f161629e832a3972fc29e7cecbd2b5f5d2662f52fd8f684b166645c5e | MATLAB | 5,378 | 138 | function mmse = CBIG_get_mmse(rid_of_interest, predementedOnly)
% mmse = CBIG_get_mmse(rid_of_interest, predementedOnly)
% Fetch MMSE scores from .csv files
%
% Input:
% - rid: the RID's of subjects of interest
%
% Output:
% - mmse: 1st col is RID, 2nd is VISCODE, 3rd is EXAMDATE, 4th is score
%
% Written by CB... |
4c66cc6a57d84ddfb7a4fb47e6ab3c153995da2a884103c8916c4ac8c9bab08f | MATLAB | 5,384 | 153 | function [cell_metrics] = bz_CellMetricsSimple(spikes,sr)
% [cell_metrics] = bz_CellMetricsSimple(spikes,sr)
% Calculate waveform and ACG metrics to use for unit classification
%
% USAGE
%
% [cell_metrics] = bz_CellMetricsSimple(spikes)
%
% INPUTS
%
% spikes = buzcode spikes structure (i.e. from bz_LoadPhy)
% ... |
bfcad12563429d3a601e723c204b529ed9613495191d1970eed650f4cb3d5536 | MATLAB | 5,384 | 251 | % Return orientation of the current image:
% orient is orientation 1x3 matrix, in that:
% Three elements represent: [x y z]
% Element value: 1 - Left to Right; 2 - Posterior to Anterior;
% 3 - Inferior to Superior; 4 - Right to Left;
% 5 - Anterior to Posterior; 6 - Superior to Inferior;
% e.g.:
% Standard RAS Or... |
b7cfd336497a681857a58635872c130fb3aab8ca21c32a4db3137fa89d296fa8 | MATLAB | 5,385 | 145 | function savexml(filename, varargin)
%SAVEXML Save workspace variables to disk in XML.
% SAVEXML FILENAME saves all workspace variables to the XML-file
% named FILENAME.xml. The data may be retrieved with LOADXML. if
% FILENAME has no extension, .xml is assumed.
%
% SAVE, by itself, creates the XML-file nam... |
311d68b2d5b27b956283b03832365f832e9e4a6923b0884022c0ab2428978586 | MATLAB | 5,388 | 163 | function [dv, regcorr, regdata] = phase_reg(data, refImg, ops)
% modified by Yiyi Yu
if nargin==3
subpixel = ops.SubPixel ;
usFac = ops.registrationUpsample;
useGPU = ops.useGPU; % if you can use a GPU in matlab this accelerate registration approx 3 times
phaseCorrelation = ops.PhaseCorrelation; % set t... |
621107efc71ea9e759176faca02bb32f88f72ea45f53a7bc5b85e49e8cdb0237 | MATLAB | 5,388 | 142 | function CBIG_MMLDA_zscore_hist_wrapper(out_dir)
% CBIG_MMLDA_zscore_hist_wrapper(out_dir)
%
% Wrapper function to plot the histogram of zscores.
%
% Input:
% - out_dir : output directory
%
% Example:
% CBIG_MMLDA_zscore_hist_wrapper('~/example')
%
% Written by Nanbo Sun and CBIG under MIT license: https://github... |
db072419de425e69ccae5b8dc2412bc79925c0aa8396c0f8f270eb2a448ee617 | MATLAB | 5,391 | 103 | function [C,phi,S12,S1,S2,f,zerosp,confC,phistd,Cerr]=coherencycpb(data1,data2,params,fscorr)
% Multi-taper coherency,cross-spectrum and individual spectra - continuous and binned point process data
%
% Usage:
%
% [C,phi,S12,S1,S2,f,zerosp,confC,phistd,Cerr]=coherencycpb(data1,data2,params,fscorr)
% Inputs:
% da... |
0e6685bb2e22b2a1ccac828e51eaec0542b767df9268c145798827ba41d05f6a | MATLAB | 5,394 | 247 | function trainmodel
%%
%scheme = evalin('base','scheme');
% d1 = 0.5+(0:0.05:1)*2.5;
% d2 = 0+(0:0.05:1)*3;
% d3 = 0.15+(0:0.05:1)*2.5;
% v = 0:0.05:1;
% [D1 D2 D3 V] = ndgrid(d1,d2,d3,v);
nt = 2*10^4;
D1 = 0.5+rand(nt,1)*2;
D2 = 0.5+rand(nt,1)*2;
D3 = 0.2+sqrt(rand(nt,1))*2;
D1 = D2+D3;
V = rand(nt,1)*1;
Vw = (1-V).*r... |
a7639cd2ca07fc6046ba8c66218ded8d9f49e7118dc4d78d6fd724ad71044156 | MATLAB | 5,398 | 150 | function oimg = loadtiff_old(path, sFrame, num2read)
% Copyright (c) 2012, YoonOh Tak
% All rights reserved.
% Modified by Eftychios Pnevmatikakis, 01/2017.
%
% Redistribution and use in source and binary forms, with or without
% modification, are permitted provided that the following conditions are
% met... |
51dc6f25fa056466026b3c1a1d3df762380eabc096a69fb69ba48aaf26a7c24f | MATLAB | 5,399 | 157 | function [bn,burstiness,mburstf,mibsn,mbl,mibfr,mibif,burstf,ibsn,burstlen,ibfr,ibif,bp,normbnbdiff,burst,burstspikes,nonburstspikes] = burst_cls_kmeans(segspikes,sro)
% K-means clustering of ISIs
tivs = cell(1,size(segspikes,2));
ivnum = zeros(1,size(segspikes,2));
segfirstiv = zeros(1,size(segspikes,2));
seglastiv =... |
f457e33ce69bd08b5d5dff01359b99ccd43ff8da93e0ca36304c1d212edb3820 | MATLAB | 5,400 | 172 | function bestModel = CBIG_visualizeFactors(initFolders, GMMask, outDir)
% bestModel = CBIG_visualizeFactors(initFolders, GMMask, outDir)
%
% This function selects the best random initilization (that gives the
% highest likelihood) and visualizes the estimated factors as probabilistic
% atrophy maps.
%
% Input:
% -... |
1608f946b7fc495c8ddce334e7596b8b2d3727dc0810d507e85c7ce8799c2ce6 | MATLAB | 5,401 | 151 | function [dz,vdz,Adz]=two_group_test_spectrum(J1,J2,p,plt,f)
% function [dz,vdz,Adz]=two_group_test_spectrum(J1,J2,p,plt,f)
% Test the null hypothesis (H0) that data sets J1, J2 in
% two conditions c1,c2 have equal population spectrum
%
% Usage:
% [dz,vdz,Adz]=two_sample_test_spectrum(J1,J2,p)
%
% Inputs:
% J... |
5cfe2264b02f1761b2e5431a5bf8ac129f64e8a045d42640c68841c18172ba7c | MATLAB | 5,403 | 127 | function [maps,data,stats] = bz_RippleStats(filtered,timestamps,ripples,varargin)
%RippleStats - Compute descriptive stats for ripples (100~200Hz oscillations).
%
% USAGE
%
% [maps,data,stats] = bz_RippleStats(filtered,timestamps,ripples,<options>)
%
% filtered ripple-band filtered samples (one channel)
%... |
29bf9bc913ec1246fd5e0adb680a9e658397c3ab256ac8caae0b24fcb8dd6e3e | MATLAB | 5,404 | 174 | function [ccg,t] = CCG(times,groups,varargin)
%
%CCG - Compute multiple cross- and auto-correlograms
%
% USAGE
%
% [ccg,t] = CCG(times,groups,<options>)
%
% [times] [times of all events
% NOTE: spiketimes in SECONDS]
% [groups] [group IDs for each event in time list (should be
%... |
46d85d693377623057dd9e18d63d6bbf33efd47d77d09bffc45a3f5eb1d00101 | MATLAB | 5,404 | 136 | clc
clear
% Load intensity data from Excel files into the raster cell array
raster{1,1} = xlsread('intensity-14_a_1.xlsx');
raster{1,2} = xlsread('intensity-14_a_2.xlsx');
raster{1,3} = xlsread('intensity-14_a_3.xlsx');
save original_data
%%
ExpT = length(raster); % Number of experiments/time points
[~, CellNum] = si... |
4bff1ee7c7a97c6f4ff68a128d5734593a5c9e76760b5151b415c454f30b1e5b | MATLAB | 5,405 | 160 | function disp( prob, prefix )
if nargin < 2, prefix = ''; end
global cvx___
p = cvx___.problems( prob.index_ );
if isempty( p.variables ),
nvars = 0;
else
nvars = length( fieldnames( p.variables ) );
end
if isempty( p.duals ),
nduls = 0;
else
nduls = length( fieldnames( p.duals ) );
end
neqns = ( len... |
90f1f8be030a8a9bc9666a42d224df78ce3032e0fc4cf803b8b3b5f408f7a75d | MATLAB | 5,405 | 135 | % demo for SingleRoomDRIR: save DRIR data from Uni Oldenburg (Office II) as
% SOFA file and plot the speaker and listener positions.
% It uses conventions SingleRoomDRIR and RoomType 'shoebox', defined by
% RoomCornerA and RoomCornerB.
% SOFA API - demo script
% Copyright (C) 2012-2013 Acoustics Research Instit... |
b30c71a64c7bf83b2dcce68cd63d398b5cfb02a0face7ebd0fbb988efaa98758 | MATLAB | 5,405 | 154 | % Maximize stopband attenuation of a bandpass IIR filter
% "Linear Programming Design of IIR Digital Filters with Arbitrary
% Magnitude Functions" by L.R. Rabiner, N.Y. Graham, and H.D. Helms
% (figures are generated)
%
% Designs a bandpass IIR filter using spectral factorization method where we:
% - minimize maximum ... |
17abb7496498d29c2b176de8a0478ccaf72785bd7714e6d0dce3f25e1152b37d | MATLAB | 5,406 | 110 | function [hdr] = read_nifti2_hdr(filename)
% READ_NIFTI2_HDR
%
% Use as
% [hdr] = read_nifti2_hdr(filename)
% where
% filename = string
%
% This implements the format as described at
% http://www.nitrc.org/forum/forum.php?thread_id=2148&forum_id=1941
%
% Please note that it is different from the suggested f... |
219b5aeb3910f9bac99ede05f8f3342e7a06227cfabed1d1dc4996502397bbd4 | MATLAB | 5,406 | 198 | function decline = CBIG_hypoTest_3t_withinFactorAcrossStages(stats)
% decline = CBIG_hypoTest_3t_withinFactorAcrossStages(stats)
%
% Written by CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
beta = stats.Bhat;
betaCov = stats.CovBhat;
decline = zeros(9, 3);
fprintf('\n\n****... |
9d0644aab88632d785a2dca7a06e016ddce04502114aae846457d7ea00e1de3e | MATLAB | 5,406 | 119 | %% Description
% This script does further preprocessing after trial
% exclusion, trial classification, and ICA.
% Four steps are included in this procedure:
% 1. Common average referencing (CAR)
% CAR re-references data by subtracting the common
% average of trial data from channels of the same
% a... |
eb0e0d80efc7804e8d11acd913265182b548dbcaf40a16804129666898b51838 | MATLAB | 5,407 | 182 | function [xymax,smax,xymin,smin] = extrema2(xy,varargin)
%EXTREMA2 Gets the extrema points from a surface.
% [XMAX,IMAX,XMIN,IMIN] = EXTREMA2(X) returns the maxima and minima
% elements of the matriz X ignoring NaN's, where
% XMAX - maxima points in descending order (the bigger first and so on)
% IMAX - li... |
5a70cd04b3bd629be025a9a1b769233a749a9e5ec81b32ccf23ab4bbdb2ee9f9 | MATLAB | 5,412 | 126 | %% Load data for Fig 2a
load data_fig2a.mat
%% Anosmic
% Calculate spectrogram on odor vs. air trials - anosmic
ts = data_fig2a.lfp_anosmic;
sniffonset_conds = { data_fig2a.sniffonsets_odor_anosmic, data_fig2a.sniffonsets_air_anosmic };
para = [];
para.freq = logspace( log10( 1), log10( 200), 100); % center frequenci... |
651639ee2e44adf954f19e1452c7d5541de5bb44de6a0bde8eff79ce70476573 | MATLAB | 5,414 | 160 | %% to make {pfntype}_img&beh_250909-19_FlightDuringStim.mat
bank = [];
for a = 1:length(allflies)
if mean(allflies(a).flightstates_corr(9000:20000))>7.9
bank = [bank,allflies(a)];
end
end
%% to make {pfntype}_img&beh_{dates:yymmdd-dd}_NoFlightDuringStim.mat
hanging = [];
for a = 1:length(allf... |
5985944b2db3f46e8c589a2f4de0cac098c98c40311902e9d10768fdd449d3b8 | MATLAB | 5,417 | 118 | function [outlierLabelVect] = labelOutliersFrMat(dataMat, neighborNum, k, exclCol)
%LABELOUTLIERSFRMAT reads n-rows of observations with m-cols of propertiese and label which observation (row) is an outlier
%
%SYNOPSIS: [outlierLabelVect] = labelOutliersFrMat(dataMat, neighborNum)
%
%INPUT: dataMat: (matrix) data... |
6e26cf30ac22b942b2aadf9b8181c3b913e360ffb31696930511e853727d85b4 | MATLAB | 5,420 | 139 | function plotBiphasicLines(TRI, motionType, propVect, threshTab, cellNo, figStr, scalingFactor)
%PLOTBIPHASICLINES: plot the fit lines for an individual cell from threshold and scatter data
%
%SYNOPSIS: plotBiphasicLines(TRI, motionType, propVect, threshTab, cellNo, figStr, scalingFactor)
%
%EXAMPLE: plotBiphasicLines(... |
52c96fc3e18ffdee97536d3c8451cfbcab70a8ec5a98c417e1edfd48f4d9436d | MATLAB | 5,422 | 135 | %%********************************************************************
%% infeaspt: generate an initial point for sdp.m
%%
%% [X0,y0,Z0] = infeaspt(blk,At,C,b,options,scalefac);
%%
%% options = 1 if want X0,Z0 to be scaled identity matrices
%% = 2 if want X0,Z0 to be scalefac*(identity matrices).
%%
%% SDP... |
18883ccd21cec8f4fe6b0696c2e883dd701287b3546633dd41c3283bf66f56dd | MATLAB | 5,423 | 168 | % eeg_store() - store specified EEG dataset(s) in the ALLEG variable
% containing all current datasets, after first checking
% dataset consistency using eeg_checkset().
%
% Usage: >> [ALLEEG EEG index] = eeg_store(ALLEEG, EEG);
% >> [ALLEEG EEG index] = eeg_store(ALLEEG, EEG, index)... |
5f8722e810a7181be5bbb6e8d428dbfff05d92dd2f49cdcefe8a60bb0f8648fb | MATLAB | 5,423 | 177 | function varargout = getDatAndVideoSessionInfo(fb,forceRegenerate)
% TSPS = dir('*tsp');
metas = dir('*.meta');
if ~exist('forceRegenerate','var')
forceRegenerate = 0;
end
if length(metas) > 1
if forceRegenerate
if FileExists([fb, '-metaInfo.mat'])
movefile([fb, '-metaInfo.mat']... |
7cd55635ad4af912a26ac9a146697a95350045b271576a4196574c28396065b9 | MATLAB | 5,423 | 115 | plugin_find_master_script_directory;
%% SUMMARY
% Load and print summary of study from study_info.json and contrast info
% -------------------------------------------------------------------------
scriptname = which(fullfile(masterscriptdir, 'core_scripts_to_run_without_modifying', 'b_reload_saved_matfiles'));
run(sc... |
01d783e36d919821fb2ce3f65f39ca4196c8ae2004393a73f46363fb7213432e | MATLAB | 5,427 | 147 | function [trackType,asymParam] = getTrackType(tracks,probDim)
%GETTRACKTYPE checks whether tracks are directed or Brownian
%
%SYNOPSIS [trackType,asymParam] = getTrackType(tracks,probDim)
%
%INPUT tracks : -- EITHER --
% Output of trackWithGapClosing:
% Matri... |
40932d76b4bb2cd13219f187b8854f028bc12288e5651b0b3731aa15fd01f2b5 | MATLAB | 5,429 | 130 | function [Sc,Cmat,Ctot,Cvec,Cent,f]=CrossSpecMatpt(data,win,T,params)
%
%
% Multi-taper cross-spectral matrix - another routine, this one allows for multiple trials and channels
% but does not do confidence intervals. Also this routine always averages
% over trials - point process as times
%
% Usage:
%
% [Sc,Cmat,Ctot... |
58b6b8d8bb48cb7e9279189303d098494c56875c0799c2eb06ca7fdb8c6d3492 | MATLAB | 5,430 | 118 | function CBIG_MMLDA_factor_distribution_wrapper(out_dir)
% CBIG_MMLDA_factor_distribution_wrapper(out_dir)
%
% Wrapper function to plot factor distribution of ADNIGO/2 AD and A+MCI subjects.
%
% Input:
% - out_dir : output directory
%
% Example:
% CBIG_MMLDA_factor_distribution_wrapper('~/example')
%
% Written by... |
f6f45e3295bc08cce6f19cca8c1029cec6ca33bc1958fa156d436e965bb080b4 | MATLAB | 5,432 | 114 | function [fluordataperiod]=fluormean(fluordata,framerate,full,integrate)%this would be better if I took the mean of each trial and then averaged that and put the error on it right? I guess I have the std from before that I could just slap on
%NO LONGER TAKES IN THE AVERAGE VECTOR, TAKES IN THE FULL
%change mean to inte... |
3007c60995b9b3e9624beaaaba32b925e42006164a120ddcaad73468d419f01e | MATLAB | 5,434 | 140 | function newdata=velo2ft(filename,condition)
% this function imports the velocity data from the directory
% and extracts the right condition
% defines the sampling rate of the data
% and the channels
% define body parts
data_template.label{1, 1} = 'PM1';
data_template.label{2, 1} = 'PM2';
data_template.label{... |
32350dca7b715a02831eba134280c91d7b416659d0d005b6a00be464874a4fad | MATLAB | 5,434 | 165 | function list = find(varargin)
% XMLTREE/FIND Find elements in a tree with specified characteristics
% FORMAT list = find(varargin)
%
% tree - XMLTree object
% xpath - string path with specific grammar (XPath)
% uid - lists of root uid's
% parameter/value - pair of pattern
% list - list of uid's of matched elements... |
761647d46a11399f44991003dce1ab9829c01b7481e4769c6571cac2070fe785 | MATLAB | 5,435 | 89 | function [C,phi,S12,S1,S2,f,zerosp,confC,phistd,Cerr]=coherencysegcpt(data1,data2,win,params,segave,fscorr)
% Multi-taper coherency,cross-spectrum and individual spectra computed by segmenting
% two univariate time series into chunks - continuous and point process stored as times
%
% Usage:
% [C,phi,S12,S1,S2,f... |
48608223a4e3409bd3ffab5d8e58e1d221312d9eafce07ed5dbf42617c6d5c79 | MATLAB | 5,442 | 136 | function plotfluordirections_picker(avgfluor,redtemps,ROIs,Xpix,Ypix,framerate,k)
%plot the data averaged for each ROI
%show the ROI?
%give this version the k to plot from the getgo - just assign it instead of
%looping - then can
fn=fieldnames(avgfluor);
[numROIs,triallength]=size(avgfluor.(fn{1}));
fig=figure('Positi... |
870c4a5ece2bb91f31673fdd78cf68411331a92733133d1816d1b224e02b3b93 | MATLAB | 5,443 | 140 |
function [behavior] = getSessionLinearize(varargin)
% Compute behavior linearization over all session subfolders
%
% USAGE
%
% [behavior] = getSessionLinearize(varargin)
%
% INPUTS
% basePath (default: pwd) basePath for the recording file,
% in buzcode format:... |
232cfc1a0f93c7bcf08a8935f96632cde35b4612f80a6fa59843364413983d4b | MATLAB | 5,445 | 196 | function preProcessND2(inputFile, outputFolder, options)
% PREPROCESSND2 Load .nd2 microscope images, apply binning,
% Gaussian background subtraction, and save as BigTIFF.
%
% This function reads a specified series and channel from an ND2 file,
% performs optional spatial binning, subtracts a smoothed background,
% an... |
a2b1749255232baf80da3c036ee50357b8ef3563f90c835f5682998bba681c7c | MATLAB | 5,446 | 137 | function [in1,in2,out1,out2,eid1,eid2] = DBMatchValues(eid1,eid2,rexp)
%DBMatchValues - Match values for two different sets of variables.
%
% It is often necessary to match (associate) variables that were computed
% independently, e.g. the phase precession slope and field size of hippocampal
% place cells. Typicall... |
a2ce24671fa3377b7a02580fcc2780a9ad31efb15ca4d79cdc4d57737c2920b9 | MATLAB | 5,449 | 149 | function [] = ea_runwarpdrive(options)
%
% Get all subjects and only run warpdrive in the last one
%
global WARPDRIVE_SUBS;
if isempty(WARPDRIVE_SUBS)
WARPDRIVE_SUBS = options.subj;
else
WARPDRIVE_SUBS(end+1) = options.subj;
end
if options.subjInd < length(options.uipatdirs)
return
end
warpdrive_subs = WA... |
2b786c9993b419dccb73b33c6bfe0a9583a6603d3985c458af94d7b60c0bf273 | MATLAB | 5,455 | 210 | % Make ANALYZE 7.5 data structure specified by a 3D or 4D matrix.
% Optional parameters can also be included, such as: voxel_size,
% origin, datatype, and description.
%
% Once the ANALYZE structure is made, it can be saved into ANALYZE 7.5
% format data file using "save_untouch_nii" command (for more detail,... |
6c7d91de854075ef1082319e787f90ea9046e961aaee3d76c6ab9096cea2b184 | MATLAB | 5,458 | 123 | % std_rejectoutliers() - Commandline function, to reject outlier component(s) from clusters.
% Reassign the outlier component(s) to an outlier cluster specific to each cluster.
% Usage:
% >> [STUDY] = std_rejectoutliers(STUDY, ALLEEG, clusters, th);
% Inputs:
% S... |
b085345b5600a2be89826ee75dd7ac88754d683f02491e631df69d3c32fc8fd4 | MATLAB | 5,460 | 178 | function [fig, varargout] = draw_surface_parcellated_data_dull(surface_to_plot, data_to_plot, parc, hemisphere, medial_wall, with_medial, cmap)
% draw_surface_parcellated_data_dull.m
%
% Draw parcellated data on surface using a defined colormap with dull plot lighting
%
% Inputs: surface_to_plot : surface structure wit... |
b51fbddfc9fd4a75a51e5dba6c87f8f51200e2ad838f323775e37d2a9d850406 | MATLAB | 5,460 | 142 | function [] = v2structDemo1()
% V2STRUCTDEMO1 is a demo function showing some examples for using the function V2STRUCT
%
%% Last update:
% 30.06.2011, Adi N.
%%
fprintf(['\nRunning demo function with examples for using the function vs2truct:\n',...
'Press any key between breaks.\n']);
pause()
fp... |
41b48932661af5437cb9b3a0f1ca1bc3836434f2a53338be3074e73cbfe08592 | MATLAB | 5,462 | 171 | function [handles, hObject] = dan_cmd_import(handles, hObject, varargin)
% If data_viewer was called from MATLAB, populate the psg structure with
% inputted data
%%
% Authors: Dan Denis
% Date: 2021-07-14
%%
varargin = varargin{1};
if find(strcmpi(varargin, 'psg'))
psg = varargin{find(strcmpi(varargin, 'psg... |
27b9d3c3bd564e955cb8c581a7ed5a6df6b0abe28034c12e3391f53a071b4206 | MATLAB | 5,463 | 128 | % ccc;
clear; clc;
SINGLEPATHs = dir("..\MAT Data\granger result minus base\PE\**\average\**\*.mat");
SINGLEPATHs = unique({SINGLEPATHs.folder})';
% SINGLEPATHs = SINGLEPATHs(contains(SINGLEPATHs, 'Active'));
% SINGLEPATHs = SINGLEPATHs(contains(SINGLEPATHs, 'Passive'));
%% Params
nperm = 1e3;
alphaVal = 0.05;
windo... |
d39757f0e76eb8953e7080250b78d56e111d13adf5caaa75a733248f0e652dbf | MATLAB | 5,467 | 189 | function baseline = CBIG_hypoTest_3t_withinFactorAcrossStages(betas, stats)
% baseline = CBIG_hypoTest_3t_withinFactorAcrossStages(betas, stats)
%
% Written by CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
fprintf('\n\n****************** Within Factor, Across Stages *************... |
3a693a4c6ca9f92c7c9ca4028a2d3f53666300d99ef04a52754419bc71c1468b | MATLAB | 5,468 | 90 | function [C,phi,S12,S1,S2,f,zerosp,confC,phistd,Cerr]=coherencysegcpb(data1,data2,win,params,segave,fscorr)
% Multi-taper coherency,cross-spectrum and individual spectra with segmenting
% computed by segmenting two univariate time series into chunks - continuous and binned point process
%
% Usage:
% [C,phi,S12,S... |
d12d60f903bdd746b5fa498eebef4e744687a2046a003fbd9f131ae14d960d89 | MATLAB | 5,470 | 148 | function this = gifti(varargin)
% GIfTI Geometry file format class
% Geometry format under the Neuroimaging Informatics Technology Initiative
% (NIfTI):
% http://www.nitrc.org/projects/gifti/
% http://nifti.nimh.nih.gov/
%_____________________________________________________________... |
ff1857577c16c71c09d704d19e7f64ac226d78a0114494b068ab4f918f267c45 | MATLAB | 5,475 | 147 | function [traj,traj_high,traj_low,percentSucceed] = ...
numIntTrajectoriesFromSamples(T, perturbations, experimentBlocks, ...
intervene_matrix_filtered_merge, Y0, med_biomass, med_counts, ...
Theta_samples, startTime, endTime, timeInc, thinRate, assumeStiff)
% This file is a part of the MDSINE program.
... |
afe5e0d46a9de7283c146829ef21af213656fcac45161c9a8c5160a6a78a4e6a | MATLAB | 5,477 | 137 | function [cT, cNull, cCritical,estimatorM, estimatorC] = colocalMeasurePt2Pt(detectionRef,detectionObs, threshold, maskingFile,alphaValue)
%COLOCALMEASUREPT2PT measures the colocalization between two punctate channels
%
% Synopsis: [cT, cNull, cCritical,estimatorM, estimatorC] = colocalMeasurePt2Pt(detectionRef,d... |
cd5923ce22ebb0a750217758bce36adedf4ca81abf99b1e95413d1088adcc0a9 | MATLAB | 5,477 | 163 | function [R, t, iter_err, reg_pointqueary] = ...
ICP_point_regRenhance(reg_points, reg_pointqueary, ops)
% This is an implementation of the Iterative Closest Point (ICP) algorithm.
% Arguments: pointcloud - 3 x n matrix of the x, y and z coordinates of data set 1
% pointqueary - 3 x m matrix of the x, y ... |
0be556b65578d9c7bcc98355aea1cde751f3e7ce48b611d70c2f8317d84143c6 | MATLAB | 5,479 | 141 | %% Basic simulation parameters
n_ne = 100; % Number of neurons
c_L_path = 1000; % Track length (mm, 1000 mm = 1 m)
c_dL_dir = 0.1; % Directed motion step size (mm per ms)
c_fr0 = 1; % Baseline (spontaneous) firing rate (Hz)
n_step = 2 * c_L_path / c_dL_dir; ... |
0b3dc9c7ddebfcfa9ea358a038d7c0b6146968dad5424e4baa7da8d994cb70e7 | MATLAB | 5,480 | 174 | function [peak_lags, peak_corr, zero_lag_corr, lag_proj_unweighted, lag_proj_weighted] = calc_lag_projection(data, TR, lag_lim, max_TR_shift, is_data_normalized)
% data = [T x V x num_subjects]
% Adopted from:
if nargin<5
is_data_normalized = 0;
end
num_timepoints = size(data, 1);
num_points = size(data, 2);
num... |
d9bf86197e49bdb9f1b53e8a40e951af6959b836e4072639435944ba1cc4c63a | MATLAB | 5,481 | 209 | % Section 7.5.2: Experiment design
% Boyd & Vandenberghe, "Convex Optimization"
% Original version by Lieven Vandenberghe
% Updated for CVX by Almir Mutapcic - Jan 2006
% (a figure is generated)
%
% This is an example of D-optimal, A-optimal, and E-optimal
% experiment designs.
% problem data
m = 10;
angles1 = linspac... |
fcf6cc2b9e40944e24585d963d987981210b7df6fdfef7baf8cc73b00a71f0e2 | MATLAB | 5,482 | 143 | function handles = dan_select_data(handles, subsetOpts)
% Function to remove segments of data e.g. only look at clean N2 epochs
%
%%
% Authors: Dan Denis
% Date: 2021-07-14
%%
chansToRemove = strsplit(subsetOpts{3}, ' ');
if isempty(subsetOpts{2})
subsetOpts{2} = 'no';
end
if isempty(subsetOpts{4})
subs... |
712be1f61575df80d87ce69e442f179742fa1b09272944d9dde7624655a2ced5 | MATLAB | 5,483 | 154 | function tuned = TuneArtefactTimes(x,times,varargin)
%TuneArtefactTimes - Fine-tune artefact (e.g. stimulation) times.
%
% Fine tuning can be done using either the LFP (faster), or the wideband
% data (slower but more accurate). The latter is especially useful in cases
% where the artefacts are no longer visible in... |
d87b154ffc900973de60f616f125adc0c7df217e98f49ed6c3bbceadb5bf4fb4 | MATLAB | 5,483 | 151 | function [consolidated,target] = ConsolidateIntervals(intervals,varargin)
%ConsolidateIntervals - Consolidate intervals.
%
% Consolidate overlapping intervals, e.g. replace [10,20] [15,25] with [10,25].
%
% USAGE
%
% [consolidated,target] = ConsolidateIntervals(intervals,<options>)
%
% intervals list of in... |
b07729fd19fec9092afc92c65ed8519752117ef3556a54c29e50bf92ac4325ca | MATLAB | 5,488 | 96 | function [C,phi,S12,S1,S2,f,zerosp,confC,phistd,Cerr]=coherencysegpt(data1,data2,win,params,segave,fscorr)
% Multi-taper coherency computed by segmenting two univariate point processes into chunks
%
% Usage:
% [C,phi,S12,S1,S2,f,zerosp,confC,phistd,Cerr]=coherencysegpt(data1,data2,win,params,segave,fscorr)
% Input:
% ... |
16393b156e7343f66573815b15f69a856922f7524ff39caf46b852e10ed39a4c | MATLAB | 5,492 | 170 | function CBIG_compare_progression(subInfoFile, GMICVFile, windowSize, k)
% CBIG_compare_progression(subInfoFile, GMICVFile, windowSize, k)
% What is the subtype order?
% Offset by 1, the RID column
%
% Written by CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
TEM_COL = 1+2;
SUB_CO... |
8fb851cc5860fe1f76829a0038b3654adebe920240ed8d6122c322611763c150 | MATLAB | 5,494 | 103 | function [C,phi,S12,S1,S2,f,zerosp,confC,phistd,Cerr]=coherencycpb(data1,data2,params,fscorr)
% Multi-taper coherency,cross-spectrum and individual spectra - continuous and binned point process data
%
% Usage:
%
% [C,phi,S12,S1,S2,f,zerosp,confC,phistd,Cerr]=coherencycpb(data1,data2,params,fscorr)
% Inputs:
% ... |
08b81c3b261bb4dbf2bac3598538d202f62444ffc0d0b1d6669003dcefcaa78f | MATLAB | 5,495 | 155 | %% HOW_DO_I_VISUALIZE_DATA
% The help file shows you how to display neuroimaging data for publication
% by marianne reddan, 2016
%% General instructions
% -----------------------------------------------------------------------
%
% Before you start, the CANlab_Core_Tools must be added to your path with
% subfolders. Ot... |
465aeb91eddcc4dfb7de43679d797f3361b5ce6bbdb2f3b2bc0840d3c7974d36 | MATLAB | 5,497 | 189 | function baseline = CBIG_hypoTest_3t_withinFactorAcrossStages(betas, stats)
% baseline = CBIG_hypoTest_3t_withinFactorAcrossStages(betas, stats)
%
% Written by CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
fprintf('\n\n****************** Within Factor, Across Stages *************... |
6f6e174b971c115eebd16f8d973226947c79dac73bbf7a27c6dd7d67b686299b | MATLAB | 5,498 | 145 | function [Results, Counts] = statTests(dStack, condFlag, timeFlags, varargin)
%STATTESTS counts the spikes in the given time flags and compares them
%within and against other conditions indicated in condFlag.
% [Results, Counts] = statTests(dStack, condFlag, timeFlags, statTest)
% INPUTS
% - dStack -... |
bb8acb0d9c0dceb6f5d7b907b612e8adcec98f983ee420c50c7d120f4549ed9b | MATLAB | 5,498 | 159 | function [V, C, topo] = T1_edgeswap_LE(V, C, topo, T1_edge_ID, strain)
% T1_EDGESWAP_LE Perform a T1 (neighbor-exchange) topological transition
% on a single edge, under Lees-Edwards (sheared) periodic boundary
% conditions.
%
% [V, C, topo] = T1_EDGESWAP_LE(V, C, topo, T1_edge_ID, strain)
% collapses the edge T1_... |
fe326b441e3a771b3fc41a5e4f87304e80b81c630dc87ee61662f6804e6fca0c | MATLAB | 5,500 | 131 | % This makes some nice prepared versions of the data:
% ~/ext/figurefiles/nsd/datab3nativesurface_subj[01-08].mat
% ~/ext/figurefiles/nsd/datab3nativesurface_subj[01-08]_[lh,rh,subcortex,func1pt8mm,cerebellum]_betas.hdf5
%
% In the .mat file, we have:
% <ord> is 1 x NTRIALS with 10k indices
% <ordU> is 1 x NIMAGE... |
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