sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
ceb34eccaa8750398a14ff7f0a4ca510aff9334ec47dc1c3f4a602103b3e7ecd | MATLAB | 2,030 | 66 | function [xgp,wt, ph] = generalized_phase_vector( x, Fs, lp )
%
% GENERALIZED PHASE VECTOR calculate the generalized phase of input vector
%
% INPUT:
% x - data column vector (t,1)
% Fs - sampling rate (Hz)
% lp - low-frequency data cutoff (Hz)
%
% OUTPUT:
% xgp - output datacube
% wt - instantaneous frequency estim... |
363fab4bf3134e79ddc648621b21d8d8e8f88b53bf1319c838d7da04a68f8b4b | MATLAB | 2,031 | 64 | %% figure S9
% Theta and gamma band power dynamics across states.
% (A) Awake state: z-scored theta and gamma power time courses
% (B) Anesthetized state: same as (A)
load('figureS9_data')
addpath('functions');
set(0, 'DefaultAxesFontName', 'Arial');
set(0, 'DefaultTextFontName', 'Arial');
theta_col = [0.2 0.6 0.2... |
451a43cf5546abd87babbff878f32236a64e24c007448959f194b604c86a5b49 | MATLAB | 2,031 | 67 | function [phase,amplitude,unwrapped] = Phase(samples,times)
%Phase - Compute instantaneous phase in signal.
%
% Compute instantaneous phase (wrapped and unwrapped) and amplitude
% in signal.
%
% USAGE
%
% [phase,amplitude,unwrapped] = Phase(samples,times)
%
% samples signal, e.g. filtered local field pot... |
f1ec58abe5f7946a75b0a630c0fe38c30163d1737490c9e94b15f4a986311476 | MATLAB | 2,031 | 52 | %%
%% Java Information Dynamics Toolkit (JIDT)
%% Copyright (C) 2012, Joseph T. Lizier
%%
%% This program is free software: you can redistribute it and/or modify
%% it under the terms of the GNU General Public License as published by
%% the Free Software Foundation, either version 3 of the License, or
%% (at yo... |
9cbe9813ae448fd9f929c747d8742ff923f005afb6429883915e9c479dabe95a | MATLAB | 2,032 | 71 | function y = huber_pos( x, M, t )
%HUBER_POS Monotonic huber penalty function.
% For a vector X, HUBER_POS(X) computes the monotonic Huber-style function
%
% 0 if 0>=X
% HUBER_POS(X) = X^2 if 0<=X<=1
% 2*X-1 if X>=1
%
% HUBER_POS(X,M) is the monotonic Hub... |
e767fee3c541fafe943c1520464364efd6fbd52a7ab37fa0447a3acf58a47bb2 | MATLAB | 2,032 | 49 | function [tfce_vec, dh_used] = tfce_one_fmri_dat( ...
t_vec, removed_voxels, volInfo, H, E, conn, sidedness, tail, dh)
% tfce_one_fmri_dat Single statistic-map TFCE transform (parfor-safe).
%
% [tfce_vec, dh_used] = tfce_one_fmri_dat(t_vec, removed_voxels, volInfo, ...
% ... |
a7837b043b06a66d182c76413efbb51af664f969ff5f7b7b448731bc4d16f24d | MATLAB | 2,033 | 56 | function dt = datatypes
% Datatype
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: datatypes.m 4136 2010-12-09 22:22:28Z guillaume $
persistent dtype
if isempty(dtype),
t = true;
f = false;
table = {...
... |
59eda98170893a370a90774777650c16c6689e415dc2994c47f4267a55c0b72d | MATLAB | 2,034 | 39 | function spikes = split_cluster(spikes, clustnum)
% SPLIT_CLUSTERS Split a cluster after automatic hierarchical aggregation.
% SPIKES = SPLIT_CLUSTERS(SPIKES, CLUSTER_NUMBER) takes and returns a spike-
% sorting object SPIKES. SPIKES must have gone through a hierarchical
% clustering aggregation (e.g., SS_AG... |
83fd4136d7bc027d56815dc1ce50877ea43014ba872a080a96c28ccb50166c89 | MATLAB | 2,034 | 66 | %%**********************************************************************
%% HSDNTpred: Compute (dX,dy,dZ) for NT direction.
%%
%% compute SVD of Xchol*Zchol via eigenvalue decompostion of
%% Zchol * X * Zchol' = V * diag(sv2) * V'.
%% compute W satisfying W*Z*W = X.
%% W = G'*G, where G = diag(sqrt(sv)) * (inv... |
9e98ed6bad427d69cccf1cd5fc0d7cb64ba2fbbf78f70b3a646644a7b55f13c4 | MATLAB | 2,034 | 56 | function thresh=ea_detthresh(atlases,atlas,img)
% Function that will return the threshold according to user settings for a
% specific region in the atlas.
%
% USAGE:
%
% thresh = ea_detthresh(atlases,atlas,img)
%
% INPUTS:
% atlases: structure loaded from 'atlas_index.mat' under atlas folder
% atlas: ... |
f7ae0d69baf81abaef64c0c0c6adc2313ecdc63bcafc711fc1956e206ffe1c28 | MATLAB | 2,034 | 110 |
function [est cmap] = compMesoParams(hr);
%%
sz = size(hr.dataAy);
ten = hr.user.bTensor/1000;
for k = 1:size(ten,3),
[U D] = eigs(ten(:,:,k));
scheme(:,k) = sqrt(D(1,1))*U(:,1);
end;
sigma = 1.75;
ng = ceil(sigma*3); ng = ng + mod(ng,2) + 1;
gau = fspecial('gaussian',[ng 1],sigma); [gx gy gz] = nd... |
1ff27c274a3670af9ba1f0265d18419ac6f88c66e6cd52c47ed9af1300fd2d23 | MATLAB | 2,035 | 54 | function R = CorrelateRateMaps(self, cel, obj2, cel2, supress_plot)
% Calculates the pearson correlation coefficient between two ratemaps
%
% (1) Calculates rate maps for cell in cel = [t, c]; in current root, prompts
% user to indicate another session object and cell to compare. If two cells
% are selected, compares b... |
d92e746d74e50ab547216a983269c04c17b4d84e74bd3e181109dd5a3e10db0d | MATLAB | 2,035 | 76 | function [m,boundaries] = CircularConfidenceIntervals(angles,alpha,nBootstrap)
%CircularConfidenceIntervals - Compute circular mean and confidence intervals of circular data.
%
% Compute circular mean and confidence intervals of circular data (see NI Fisher, Analysis
% of circular data, p. 88). If fewer than 25 angle ... |
fc8cf6a3620bc46383147bac2b62fb62f08ecdeb7ac9eb7a29da64d0a8c9fcc9 | MATLAB | 2,036 | 60 | function [S]=ea_sweetspot_importedModel2Efields(obj, filepath)
%load the file
S = load(filepath);
disp('Need to put imported model to the same space as the Efields.');
outdir = fullfile(fileparts(obj.leadgroup), 'sweetspots', obj.ID, filesep);
ea_mkdir(outdir);
sidesuffices ... |
83360231265e419e353858b01b4e6c4e8ee4965069e73ca9109348765dacc2a2 | MATLAB | 2,037 | 79 | function t = circ_confmean(alpha, xi, w, d, dim)
%
% t = circ_mean(alpha, xi, w, d, dim)
% Computes the confidence limits on the mean for circular data.
%
% Input:
% alpha sample of angles in radians
% [xi (1-xi)-confidence limits are computed, default 0.05]
% [w number of incidences in case of binne... |
9787ad9a3a06425178b1cc2471d4bfc07918a313abc57d5708a4d03c90f87be3 | MATLAB | 2,037 | 68 | function input_struct = plugin_get_parcelwise_statistic_images(parcel_obj, input_struct)
% output_struct = plugin_get_parcelwise_statistic_images(input_struct)
%
%parcel_obj = PARCELS.Shen.parcel_obj;
% input_struct = y_helper_function_get_parcelwise_statistic_images(parcel_obj, input_struct );
% Create placeholder st... |
a447328cd123f457f502b44d559539365521423f53e42ec9f9189437f55b64d8 | MATLAB | 2,037 | 51 | %% Plot time detected in videos
% last edited by David Wolf, 30.11.2023
%
%% load dataset
clear;
times_detected = {};
for gr = 6:10
for day = 1:15
try
T=readtable(['/zi-flstorage/data/Luise/NoSeMaze2023/DLC_output_windows/G',num2str(gr),'/D',num2str(day),'/p0.8_G',num2str(gr),'_D',num2st... |
377ed07a13504a52eec64eac5c13334d711e8a48d7ad1b62c9a82aafddeb479c | MATLAB | 2,038 | 85 | function epochs = IntersectEpochs(root, epochs)
% Returns list of epochs that are contained in both epochs lists { epochs1, epochs2 }
%
% INPUTS
% epochs - cell array of epoch lists
%
% OUTPUTS
% epochs - the common epochs between the two epochs
%
% arb sept 20 2011 (Ehren's is commented out below
import CMBHOME.Ut... |
46b7491c57eea3b2ebb7d598053b07a9b03441e85f6ab1d774626a6f323e73bc | MATLAB | 2,038 | 61 | function Pnew = palm_swapfmt(Pset)
% Convert a set of permutation matrices to an array
% of permutation indices and vice versa.
%
% Cell array <===> Shuffling indices
% Shuffling indices <===> Cell array
%
% Pnew = palm_swapfmt(Pset)
%
% Pset : Set of permutations, sign-flips or both.
% This can be su... |
48f26bfd4201606a1a2c7e110cef4ac7f8ea6bbcfab59c50d66215338b6d9512 | MATLAB | 2,038 | 79 | function [node,elem]=meshgrid6(varargin)
%
% [node,elem]=meshgrid6(v1,v2,v3,...)
%
% mesh an ND rectangular lattice by splitting
% each hypercube into 6 tetrahedra
%
% author: John D'Errico
% URL: http://www.mathworks.com/matlabcentral/newsreader/view_thread/107191
% modified by Qianqian Fang (fangq<at> nmr.m... |
4ab47bf2512cb451bdb9485123f5b081093e1891678109e688387ae509e263cc | MATLAB | 2,038 | 46 | function RecordingSecondsToTimeSeconds(basepath)
% Store correspondences between recoring (ie dat file) second timestamps
% and clock time. 0.1sec resolution.
% Can only be run after bz_DatFileMetadata.m and TimeFromLightCycleStart.m
% Brendon Watson 2016
if ~exist('basepath','var')
basepath = cd;
end
basename =... |
7e23526b0e319e6c5e6e950a4f585a39fb46ca6b39236e32991bfd8e340a9711 | MATLAB | 2,038 | 63 | function [adfreq, n, ts, fn, ad] = plx_ad_v(filename, channel)
% plx_ad_v(filename, channel): read all a/d data for the specified channel from a .plx or .pl2 file
% returns a/d values in millivolts
%
% [adfreq, n, ts, fn, ad] = plx_ad_v(filename, channel)
% [adfreq, n, ts, fn, ad] = plx_ad_v(filename,... |
e84a0f3b8734b28177bbc406a6db912b9b46bbad56baecd4ca540f8b470f5ea9 | MATLAB | 2,038 | 64 | function clusterXT(spikes, useassigns, show, threed)
% clusterXT temporary utility to show clusters
% clusterXT(SPIKES, [USEASSIGNS], [SHOW], [THREE_D]);
if (nargin < 2 || isempty(useassigns)), useassigns = spikes.overcluster.assigns; cmap = spikes.overcluster.colors; end;
if (nargin < 3 || isempty(show))... |
ad729163303f2d3383d7c0424298c09123f19d6a70f1302e62f9476a9fa3216e | MATLAB | 2,039 | 60 | function [p, Q]= chi2test(x)
% Usage: [p, Q]= chi2test(x)
%
% The chi-squared test.
%
% Given a number of samples this function tests the hypothesis that the samples are
% independent. If Q > chi2(p, nu), the hypothesis is rejected.
%
% Each column represents a variables, each row a sample.
%
% If you find any... |
107086746eb7fc4771534e2634bf7a5b884a969a075ec02cafa229d8050741e3 | MATLAB | 2,040 | 68 | function [ basePaths,baseNames ] = bz_FindBasePaths(topPath,varargin)
%basePaths = bz_FindBasePaths(topPath) finds all buzcode basePaths in any
%directory within topPath and returns them.
%
%INPUT
% topPath a top-level directory with multiple basePaths in it.
% (options)
% 'select' prompt the user with... |
3883963eb3e927f04da715421b3f5e18e08f33b6a110a35807d457a80b924d64 | MATLAB | 2,040 | 57 | function [mlnS, mlnSneuman, mlnSnp, bardelta, b] = my_murdaycotts(Delta,delta,r,D0,bb)
%
% [mlnS, mlnSneuman, mlnSnp, bardelta] = murdaycotts(Delta,delta,r,D0,g)
%
% calculates diffusion attenuation, mlnS = - ln(S/S0),
% inside a perfectly reflecting sphere of radius r, free diffusion
% coefficient D0, bvalue b ... |
4edc8fcb7022ce578f846980acaadfef77d68f0b3a60ff7efa1ad111dc4318bb | MATLAB | 2,042 | 65 | function [res, errStr]= ftrstruct_write(ftrStruct, fileName)
%
% function [res, errStr]= ftrstruct_write(ftrStruct, fileName)
%
% writes a ftrStruct to the harddisk
%
% ftrStruct: should contain a valid ftrStruct
% fileName: should contain the path and file name. if it is empty or undefined, a file selection dia... |
5be30bd8c8b20aef6acea1f9f4a9a6f53cc06cf389f188181bfca9df71dab3b3 | MATLAB | 2,042 | 68 | function[sortednames,data]=cleantrials(data,fileexpnum,filelist,imskip,expskip)
%this function returns the mapping between imaging and experimental trials
%normally this would be that imaging trials are one behind exp trials
%because one has 0 indexing and the other starts with 1
%sometimes the case that you will nee... |
d307315a117a6ad57350e369bc05b35844be868c35cd2d0c3eb0e808a4982372 | MATLAB | 2,043 | 71 | %%*******************************************************
%% gpp: pgraph partitioning problem.
%%
%% (primal problem) min Tr C*X
%% s.t. Tr(ee'*X) = alpha,
%% diag(X) = e,
%%
%% C = -(diag(B*e)-B).
%%
%% (dual problem) max alpha*y1 + e'*y
%... |
e788791b950a7ce373825a025399e92448ae11f2a3b7a5ca9b8027e547419acc | MATLAB | 2,043 | 78 | function ea_discfibers2trk(discfiber, fiberset, outputName, LPS)
% Convert discriminitive fibertracts to trk file
%
% If the trk is going to be visualized in Surf-Ice, LPS should be set to 1
% to fix the orientation.
arguments
discfiber {mustBeTextScalar}
fiberset {mustBeMember(fiberset, {'both', 'pos', 'posit... |
e38d1fb6e637569a86b267f747f4e992ee0f7cea1a4a7b4b67ddaa9de698b8b3 | MATLAB | 2,044 | 53 | function [Theta_low,A,Theta_high,Theta_indicator] = estInteractMatrixFromSamples(Theta_samples,ci)
% This file is a part of the MDSINE program.
%
% MDSINE: Microbial Dynamical Systems INference Engine
% Infers dynamical systems models from microbiome time-series datasets, and
% predicts biologically relevant behavio... |
904d63a69eb9efd70a839933d273359c49d6bd7b3f66683418b162b97a3bb73c | MATLAB | 2,047 | 61 | function FilterOnly_P_notch(animal, filtertype, numchans, filt_dir)
%Generates LFP files filtered for a given frequency range.
%Inputs/Requirements: Animal ID, filtertype, number of channels in probe setup, LFP1000 files for each channel in LFP1000 folder with LFPvoltage_notch variable
%filt_dir = folder where... |
25306fdd2eb2f61a75ce13123a551c8e3487ad9734553587e888f320e43c52dd | MATLAB | 2,048 | 53 | function CBIG_ASDf_clusterKmeans_wrapper(outputDir)
% CBIG_ASDf_clusterKmeans_wrapper(outputDir)
%
% Wrapper function to run k-means clustering on ASD participants' z-normalized RSFC.
%
% Input:
% - outputDir:
% Output directory to save the results.
%
% Example:
% CBIG_ASDf_clusterKmeans('~/output/ste... |
efdb58a4bd15cfeec04d9451b6667ac1304c2dbfaa3e2fb864913094e8fd4710 | MATLAB | 2,049 | 69 | function variable = Recall(name,varargin)
%Recall - Recall variable from memory to avoid redundant computations.
%
% This function is useful in the following scenario. When processing data
% in batches, a function is called repeatedly with different parameters.
% Because not all parameters change every time, some c... |
44f35e4362d86fff1ff1aac9ad69bbe37b20bb66ee20369c034a9d6d6df872d7 | MATLAB | 2,050 | 84 | function [ fields ] = bz_getPlaceFields(varargin)
% USAGE
%
%
% INPUTS
%
% ratemap MxNxD matrix where M is the number of cells, N is the number
% of trials, and D is the number of spatial bins
%
%
% OUTPUTS
%
% fields struct with field data for each cell
%
%
%
% HELP
% This function tries to identify... |
726c9f5533f41f6bc519e1583f65440c856a9017473acd342e239ab04b20d4e2 | MATLAB | 2,050 | 58 | function [H] = rigidbody(f);
% RIGIDBODY creates the homogenous spatial transformation matrix
% for a 6 parameter rigid-body transformation
%
% Use as
% [H] = rigidbody(f)
%
% The transformation vector f should contain the
% x-shift
% y-shift
% z-shift
% followed by the
% pitch (rotation around x-axis)
% ... |
e17113d034b180f0a3bbccc8f87f4086b9db4eff9ed6c33b7fadd6807e185b8f | MATLAB | 2,051 | 60 | function ea_gensurfice_temps
disp('Generating surfaces of template space (left/right hemisphere)');
cmd = [ea_getExec([ea_getearoot,'ext_libs',filesep,'fsl',filesep,'bet2'], escapePath = 1) ' ' ea_space 't1.nii ' ea_space 't1b.nii'];
ea_dispt('Skullstripping T1');
ea_runcmd(cmd, env='FSLOUTPUTTYPE=NIFTI');
ea_dispt('S... |
12a837564ae3d9149969889721eae3ba63ef7c5149af4512ca910b939e83f4b6 | MATLAB | 2,052 | 83 | % plot theta phase deviations, coherence, spikes for a few seconds of data
% for confirming probe placement
function PlotChannelsToGetLayers(t0, t1)
%Select data file to use for this animal
%%%%%%% This needs to be updated for your computer
load('ECHIP512.mat');
% load data
read_Intan_RHD2000_file
ampDat... |
4eede5082e1478f0bad1b031df4c29bb5f7a7b2e7a25fe877b3e7e950bce7d31 | MATLAB | 2,052 | 64 | % getchanlist() - Obtain indices of specified channel types.
%
% Usage:
% >> chanlist = getchanlist(chanlocs, type)
%
% Inputs:
% chanlocs - EEGLAB channel location structure
% type - [string] select channel of specified type
% can enter a cell array to select several channel types
%
%... |
4af7a42b3a58cee81585f8d1911b551615a18c9b36b132771d4891d8c315c916 | MATLAB | 2,053 | 55 | % Shows underlying SDT model and relationship to multinomial probabilities
% for fitted type 2 data
%
% Requires fit, nR_S1 and nR_S2 objects from either subject-level HMM or MLE meta-d fit to be in the
% workspace
%
% SF 2014
figure;
set(gcf, 'Units', 'normalized');
set(gcf, 'Position', [0.2 0.2 0.5 0.3]);
base = lin... |
8f5809fa62f1f3885acdbef02e75ec60dfe7caa0e5005d556a22514466546aa1 | MATLAB | 2,053 | 64 | load ../graphs/bfs_example.mat
[i,j,val] = find(A);
% assign a randon number to each edge in the graph
edge_rand = rand(num_edges(A),1);
Av = sparse(i,j,edge_rand, size(A,1), size(A,2));
ee = @(ei,u,v) fprintf('examine_edge %2i, %1i, %1i, %4f, %4f\n', ...
ei, u, v, edge_rand(ei), Av(u,v));
... |
c567d7df41a10436e6c42d74beaed412ea76d0b4ffb8b2c1c9afb85c94f4f2e7 | MATLAB | 2,053 | 81 | function a=tile3d(b,minmax,bar_flag,transp_flag,dim_flag,axis_flag)
% Usage ... a=tile3d(b,minmax,bar_flag,transp_flag,dim_flag,axis_flag)
if ~exist('dim_flag','var'), dim_flag=[]; end;
if ~exist('minmax','var'), minmax=[]; end;
if ~exist('bar_flag','var'), bar_flag=[]; end;
if ~exist('transp_flag','var'), transp_flag... |
ca0d6471d8f5770df05a3b2ce9c808aae1e02a6108042a063a0a723fa025b175 | MATLAB | 2,053 | 75 | function sem=SEM_calc(vect, CI)
% SEM_calc - standard error of the mean, confidence interval
%
% function sem=SEM_calc(vect, CI)
%
% Purpose
% Calculate the standard error the mean to a given confidence
% interval (CI). Note that nans do not contribute to the
% calculation of the sample size and are ignored for the SD... |
3c6f6aea0fbc557c159ebd416653b211cc488723f5ed29bab6351fc180bc9c8e | MATLAB | 2,054 | 74 | function [node,face,centroids]=latticegrid(varargin)
%
% [node,face,centroids]=latticegrid(xrange,yrange,zrange,...)
%
% generate a 3D lattice
%
% author: Qianqian Fang, <q.fang at neu.edu>
%
% input:
% xrange, yrange, zrange ...: 1D vectors specifying the range of each
% dimension of the lattice
%
% output:... |
9c7f43b60f72bef8785c2c85a4e0b7575c1d4166aced3e6d2fc0310366b185fb | MATLAB | 2,054 | 83 | %% a02_EphyReplot_acrossSU_SM_plot3D.m
% Need to run "a01_EphyRepolot_acrossSU_SM_plot" first
% Plotting single mouse data and plot
%%%%% Version History
% v1: 02/15/2025
% - read NEV file and plot all units together in each single trial
% Liang-Yin
clear all; close all;
%% Data path and parameters
path2raw = ... |
0bd76ac5bc0024b8b3535eb35529b4745578e0d8d94a1338eb7b1f91394085f6 | MATLAB | 2,057 | 58 | function tifFiles = moCorRawF2tifList(tifFiles,moCorrImgNonRigid,moCorROI,rawCatImg)
%gets roiF from corrected and uncorrected tif stacks and adds to tifFiles
%structure
moCorRawFroi = cell(length(tifFiles),1);
if nargin==4
rawFroi = cell(length(tifFiles),1);
end
endFrame = 0;
for fileNo = 1:length(tifFil... |
29a1b5246048cdd2ac7f190d3ee47fae9395e53a0ce3cd88a287d5b95405a195 | MATLAB | 2,057 | 80 | function g = palm_randg(a,siz)
% Generate random Gamma variables.
%
% g = palm_randg(a,siz)
%
% a : Parameter A (= k) of the Gamma distribution. The shape
% (or rate) parameter is fixed at 1.
% siz : A vector indicating the size of the array to be created.
% g : Gamma-distributed variables.
%
% Reference:
% *... |
50ee6fc82e1ae3e3c06b86a7d1cc988be3b6cae27a89d0fda63c3773330352ae | MATLAB | 2,057 | 54 | function ea_checkspm
if ~isdeployed
try
ver = spm('version');
catch
ea_error('SPM seems not installed. Please install SPM and add it to the MATLAB path before using Lead-DBS.');
end
if startsWith(ver, 'SPM12')
verNumber = regexp(ver, '(?<=SPM12 \()(\d+)(?=\))', 'match', 'once')... |
f59a2663258316e64006123e9c3e9f0341adf8c63b2d050716fef319a430e48d | MATLAB | 2,057 | 66 | function [l c] = path_histogram(G,varargin)
% PATH_HISTOGRAM Compute a histogram of all shortest paths in graph G
%
% [l c] = path_histogram(G) computes all shortest paths in A one at a time
% and forms the histogram of the shortest distances between all vertices.
%
% [l c] = path_histogram(G,struct('sample',N)) uses... |
155ecedfe2be6f32f65aef114d7311a8be35d28a0dee013c89cbfd0954f84511 | MATLAB | 2,058 | 68 | function [p,boundaries] = MultinomialConfidenceIntervals(samples,alpha)
%MultinomialConfidenceIntervals - Simultaneous multinomial confidence intervals.
%
% Confidence intervals computed simultaneously on all cells using the method of
% Fitzpatrick and Scott (1987). This provides better estimates of the confidence
% i... |
03b073dab7287f755044cc12d5311e5cf68df1c7d4446640af92ab001edc80ae | MATLAB | 2,060 | 61 | addpath('funcs')
%% Data import
% import your localization data here
%% data rendering
pps0 = 5; % projected pixel size of 10 nanometers
fov = 12000; % FOV of 12um
% render the localization data matrix as a bilinear histogram
% data should have the size [N,2] and be in the range [0,fov]
im = smlmHist(data,pp... |
998f42ddcac12d192469b21dcb56b685fb74630e875608ed67c0f1292d3c2636 | MATLAB | 2,061 | 43 | % Conversion to SeDuMi.
% Conversion routines for reading in problems from SDPPack, SDPA
% or MPS formats. Some routines require SDPPACK and/or LIPSOL to
% be installed as MATLAB Toolboxes, or need SDPPACK and SDPLIB
% environment variables.
%
% This file is part of SeDuMi 1.1 by Imre Polik and Oleksandr Romank... |
e8c558d2b335a2b755a0296fb67457c1e86b493b7c9e8f90a996cfd4ec3b285a | MATLAB | 2,061 | 60 | function write_tsv(id,tsvfile,varargin)
% write_tsv write a tsv (tabulated-separated) file
% if tsvfile already exists, replace value at the line defined
% by an id (first column) or add a new line
%
% write_tsv(id,tsvfile,varargin)
% Example:
% write_tsv('Pierre','stats.tsv','age',5... |
67f6d0cbd7ba983cacbabe283f152bb383d490fe116fabc1f9aa2c8b171b0f7f | MATLAB | 2,062 | 73 | function [t,u,v,idx,xnode]=raysurf(p0,v0,node,face)
%
% [t,u,v,idx,xnode]=raysurf(p,v,node,face)
%
% perform a Havel-styled ray tracing for a triangular surface
%
% author: Qianqian Fang, <q.fang at neu.edu>
%
% input:
% p0: list of starting points of the rays
% v0: directional vector of the rays,
% node: a list... |
2bed6b3a27580a46235a7d6976da94f462886b182e4fc453b288a739925317b7 | MATLAB | 2,063 | 80 | function y = nanstd(x,dim,flag)
% FORMAT: Y = NANSTD(X,DIM,FLAG)
%
% Standard deviation ignoring NaNs
%
% This function enhances the functionality of NANSTD as distributed in
% the MATLAB Statistics Toolbox and is meant as a replacement (hence the
% identical name).
%
% NANSTD(X,DIM) calculates the st... |
44649e6d6741efc30bb90833bfaaef66633c7eb57c063a5a70a3260ae3a8c6dd | MATLAB | 2,063 | 48 | function Apart = extractA(At,Ajc,blk0,blk1,blkstart,blkstart2) %#ok
% Apart = extractA(At,Ajc,blk0,blk1,blkstart[,blkstart2])
%
% EXTRACTA Fast alternative to
% Apart = At(blkstart(1):blkstart(2)-1,:).
% Instead of blkstart(2), it takes "blkstart2" (if supplied) or
% size(At,1)+1 (if neither blkstart(2) nor blkstar... |
dcdf57a0f9d53d29ead378dfb8cb9627c1c3179a1449336bdc2aa363b953400c | MATLAB | 2,063 | 63 | function [betas, stats] = CBIG_fitGLM_2t(subInfoFile, GMICVFile, q)
% [betas, stats] = CBIG_fitGLM_2t(subInfoFile, GMICVFile, q)
% 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
COR_COL = 1+1;
fprintf('\n\n\n'... |
048fb8d5e0803734c02f76dcc5d2a8d1998a49c87a7f0834651fbb9dc251bd08 | MATLAB | 2,064 | 90 | function [pval med P] = circ_cmtest(varargin)
%
% [pval, med, P] = circ_cmtest(alpha, idx)
% [pval, med, P] = circ_cmtest(alpha1, alpha2)
% Non parametric multi-sample test for equal medians. Similar to a
% Kruskal-Wallis test for linear data.
%
% H0: the s populations have equal medians
% HA: the s populations... |
8da38436058027d00a6c508ade298c295794e300460a3be73c2127ba1f9cc4c7 | MATLAB | 2,064 | 72 | function mz3_write(M,filename,fmt)
% Write MZ3-formatted data from disk
% FORMAT mz3_write(M,filename,fmt)
%
% M - data structure
% filename - MZ3 output filename [Default: 'untitled']
% fmt - compress data [Default: false]
%__________________________________________________________________________
%
% MZ3... |
022ef3efdb2a9022978feca2a0240a13d39c22424722e3a433806212af00ac58 | MATLAB | 2,065 | 40 | % 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... |
050cf7ab1a224d296c5f2b57cd1f6c3e129f7a52fc6da9bd019817d88aa8595f | MATLAB | 2,065 | 77 | function [pval v] = circ_vtest(alpha, dir, w, d)
%
% [pval, v] = circ_vtest(alpha, dir, w, d)
% Computes V test for non-uniformity of circular data with a specified
% mean direction dir.
% H0: the population is uniformly distributed around the circle
% HA: the population is not distributed uniformly arou... |
69f4ca0735baf07385c99f4ac0d33b558502d400d08e52d417a37ca98499d1f0 | MATLAB | 2,065 | 40 | % 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... |
18fe8c4c615026d7aed25dff2c38afb989ba003e2a097c5d34878104b0c5590e | MATLAB | 2,066 | 76 | function y = meddisHairCell(data,sampleRate,subtractSpont)
% Calculate Ray Meddis' hair cell model for a number of channels.
%
% y = iosr.auditory.meddisHairCell(data,sampleRate)
%
% This function calculates Ray Meddis' hair cell model for a
% number of channels. Data is arrayed as one channel per
% row. All... |
ca69f24ae8f904a29815564bcba2052759b7d100dee3255ddc4c27e7893319ff | MATLAB | 2,067 | 65 | function res = A_response_de(params,inputs,initcond)
% This function generates a vector of intensity values over time for one
% half of the PB innervated by PFNa, to a sequence of single-modality
% experience (either AF or OF).
% Setup with arguments.
% inputs are sensory info
thetavec = inputs(1,:); % radia... |
2afa8a1f73d1f5da9219be45217233e1fa4eadcdad3d69a8d764f4d66998fb7f | MATLAB | 2,069 | 60 | function varargout = subsref(this,subs)
% Subscript referencing for GIfTI objects
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
% Guillaume Flandin
% $Id: subsref.m 6345 2015-02-20 12:25:50Z guillaume $
if length(this) >... |
64499dd20daf2c5f8ccf428e4482a5a65353698522578a97920de442f3371af5 | MATLAB | 2,069 | 46 | % compute_ERSP_times() - computes the widest possible ERSP/ITC time window,
% which depends on requested ERSP/ITC parameters such as epoch limits,
% frequency range, wavelet parameters, sampling rate and frequency
% resolution that are used by timef().
% This helper function is called ... |
ab0298dc9e19b88888a768269238181e57f81c461629153cd97415145af100c4 | MATLAB | 2,069 | 83 | function cvx_optval = quad_over_lin( x, y, dim )
%QUAD_OVER_LIN Internal cvx version.
narginchk(2,3);
sx = size( x );
sy = size( y );
nx = length( sx );
ny = length( sy );
nd = max( nx, ny );
if nargin < 3 || isempty( dim ),
dim = [ find( sx ~= 1 ), 1 ];
dim = dim( 1 );
elseif ~isnumeric( dim ) || dim < 0 |... |
adab3cc821fe57ffe6c200d8aa0a2ef35ad0a7ed238c7371710d048bbeacce2d | MATLAB | 2,069 | 71 | function [IIM, JJM, deltaI, Iabs, Imap] = ...
pointfeature_detect2(im, sigma, quant, plot_flag, pointmode)
% a function of particle detection. Use Delaunay triangulation to
% estimate local background intensity and t-test to determine true particles.
% Inputs:
% im: an image,
% rect: an region contains no particl... |
30294045f5bf0c7eacdeb44a92e6a2b7821700b5188cee3f3835788c994e4c27 | MATLAB | 2,070 | 65 | function res = D_response_de(params,inputs,initcond)
% This function generates a vector of intensity values over time for one
% half of the PB innervated by PFNd, to a sequence of single-modality
% experience (either AF or OF).
% Setup with arguments.
% inputs are sensory info
thetavec = inputs(1,:); % radia... |
5da9e218eb255bb9a97368f8b1c5a93403f15fbd6b76769b3db1e8b32345e1cc | MATLAB | 2,070 | 67 | function codeKeeper = syncPatternDetectNSx(data)
% syncPatternDetectNSx
%
% Finds the code for the SYNC pattern on the SYNC output of Blackrock
% Microsystems Neural Signal Processor (NSP) recorded by analog input
% channel 16 and outputs the unique code and its related timestamp.
%
% INPUT
%
% data: The da... |
cbbb185874b48da06492bc77a330d377408d1a809097ace32f72095c35c2adaa | MATLAB | 2,070 | 51 | ccc;
% RAWDATAPATHs = dir("..\MAT Data\pre (granger)\single\**\*Active\**\PE Data_*.mat");
RAWDATAPATHs = dir("..\MAT Data\pre (granger)\single\**\*Passive\**\PE Data_*.mat");
MATNAMEs = {RAWDATAPATHs.name}';
AREAs = cellfun(@(x) x(strfind(x, '_') + 1:end - 4), MATNAMEs, "UniformOutput", false);
RAWDATAPATHs = arrayfu... |
e62fec53c5ff5550248290422b2175e3e1e5454d68047e3d9cd860a5ed857144 | MATLAB | 2,070 | 60 | function Serr=specerr(S,J,err,trialave,numsp)
% Function to compute lower and upper confidence intervals on the spectrum
% Usage: Serr=specerr(S,J,err,trialave,numsp)
% Outputs: Serr (Serr(1,...) - lower confidence level, Serr(2,...) upper confidence level)
%
% Inputs:
% S - spectrum
% J - tapered fourier transforms
... |
9cb8af85bfe644e963806b030de25f41cd03f5262d9f726ec6c920f3b5d7eb3e | MATLAB | 2,071 | 87 | function [y,dimage,header]=readOIS(fname,im)
% Usage ... y=readOIS(fname,im)
%
% If a range of images is selected, a 3D set is returned
verbose_flag=0;
fid=fopen(fname,'rb','l');
if (fid<3), error('Could not open file!'); end;
if (fname(end-5:end)=='oldraw'),
verinfo=' ';
dateinfo=' ... |
01e8032ac1036322fcca9173afaa422e0271c613c6ddc9285d5edbf21b475945 | MATLAB | 2,072 | 61 | function make_reference()
%MAKE_REFERENCE Record MATLAB's answers on the shared fixtures.
%
% matlab -batch "addpath('tests/matlab'); make_reference"
%
% Writes tests/fixtures/matlab_reference.json, which IS COMMITTED. The
% Python suite compares against this file, so cross-language equivalence is
% checked in ... |
bfb874a5956488c9ec89e25e7d0493bcf571f7838521ae7b47db7ea823e3864b | MATLAB | 2,072 | 55 | function traceplot22(handles)
if ~isempty(handles.dend_shaft) && ~isempty(handles.spineROI)
M = 2;
elseif ~isempty(handles.dend_shaft) && isempty(handles.spineROI)
M = 1;
elseif isempty(handles.dend_shaft) && ~isempty(handles.spineROI)
M = 1;
else
M = 0;
end
if M > 0
scrsz = handles.scrsz;
... |
dd8a2ecef8b2b6ef97761cc18e3ab0edb3a55a74c939742e1b987c75019b51b8 | MATLAB | 2,073 | 48 | %% PaCER/EXAMPLE_3.m - Plan/Outcome Comparisions
%
% Andreas Husch
% Centre Hospitalier de Luxembourg (CHL) / Luxembourg Centre for Systems
% Biomedicine (LCSB), University of Luxembourg
% mail@andreashusch.de / husch.andreas@chl.lu
% 2017
%
%% Make sure all PaCER files (including subdirectories) are in your MATLAB pat... |
1db818cff65bb513945f24cfe082b7497c82823a78e114a1eef9aeb09e31aeec | MATLAB | 2,074 | 83 | function newobj( prob, dir, x )
narginchk(3,3);
persistent remap_min remap_max remap
if isempty( remap_max ),
remap_min = cvx_remap( 'convex', 'log-convex' );
remap_max = cvx_remap( 'concave', 'log-concave' );
remap = cvx_remap( 'log-valid' ) & ~cvx_remap( 'constant' );
end
%
% Check problem
%
if ~isa( p... |
3057e89cd2405834747617a9ea1445641830a1f4653be0d69ba04ec94df0ff9a | MATLAB | 2,074 | 65 | function [node,face,elem]=meshanellip(c0,rr,tsize,maxvol)
%
% [node,face,elem]=meshanellip(c0,rr,opt)
%
% create the surface and tetrahedral mesh of an ellipsoid
%
% author: Qianqian Fang, <q.fang at neu.edu>
%
% input:
% c0: center coordinates (x0,y0,z0) of the ellipsoid
% rr: radii of an ellipsoid,
% i... |
a9d67f957bcf442696eb0a2b8230a1228aa394ed7f5941ee84dcd9f0ce349098 | MATLAB | 2,074 | 49 | function [Lden,Ld] = dpr1fact(x, d, Lsym, smult, maxu) %#ok
% [Lden,L.d] = dpr1fact(x, d, Lsym, smult, maxu)
%
% DPR1FACT Factor d[iag] p[lus] r[ank] 1:
% [Lden,L.d] = dpr1fact(x, d, Lsym, smult, maxu)
% Computes fi and d such that
% diag(d_IN) + x*diag(smult)*x' =
%(PI_{i=1}^n L(p_OUT^i,beta_i)) * diag(d_... |
0a597643c7d4b2e53d17ad7ff7eff0e763adb157f33c1034aeb0ef93f7cfac90 | MATLAB | 2,075 | 58 | function [ newints,mergedidx ] = MergeSeparatedInts( ints,minseparation )
%[ ints ] = MergeSeparatedInts( ints,minseparation ) merges close or
%overlapping intervals with a minimum separation.
%
%INPUT
% ints (n_ints x 2) matrix of interval start and end times
% minseparation merge ints separated by le... |
bd78f6df8c8b0afee861dac74ae66ca7875c74de3ceb0bc65dcd5161e44c1f9b | MATLAB | 2,075 | 43 | classdef CBIG_ArealMSHBM_unit_test < matlab.unittest.TestCase
% Written by Ru(by) Kong and CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
methods (Test)
function test_example(testCase)
% create output folder
CBIG_CODE_DIR = getenv('CBIG_CODE_DIR'... |
f61c700ad7f69e32eacdaa74e5d3b23f6391cd81b57a69a605dc3f1544228a0d | MATLAB | 2,075 | 51 | ccc;
% RAWDATAPATHs = dir("..\MAT Data\pre (granger)\single\**\*Active\**\Prediction Data_*.mat");
RAWDATAPATHs = dir("..\MAT Data\pre (granger)\single\**\*Passive\**\Prediction Data_*.mat");
MATNAMEs = {RAWDATAPATHs.name}';
AREAs = cellfun(@(x) x(strfind(x, '_') + 1:end - 4), MATNAMEs, "UniformOutput", false);
RAWDAT... |
21c9d17a208204a1957d22782ca4d077dc802b227b88d038593045e78ed4a412 | MATLAB | 2,076 | 62 | function [val] = filetype_check_extension(filename, ext)
% FILETYPE_CHECK_EXTENSION helper function to determine the file type
% by performing a case insensitive string comparison of the extension.
% Copyright (C) 2003-2012 Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% fo... |
5409ee76a11a31971038d99dee1d3e2b6a845d97a30644797e6fa8fe78aa048c | MATLAB | 2,077 | 71 | function [inputNames, outputNames] = get_arg_names(filePath)
%http://stackoverflow.com/questions/10431577/how-do-i-retrieve-the-names-of-function-parameters-in-matlab
%# Open the file:
fid = fopen(filePath);
%# Skip leading comments and empty lines:
defLine = '';
while all(isspace(defLine))
... |
61edf3ea91aa8432f2427bb2e4c64f933fdfecde43ca3c845590c781bc94dd86 | MATLAB | 2,077 | 73 | function [res, errStr, fName]= ftrstruct_read(fNameIn)
%
%function [res, errStr, fName]= ftrstruct_read(fName)
%
% Opens a ftrStruct from the filesystem
%
% fName: should contain the path and file name. if it is empty or undefined, a file selection dialog will appear
%
% return values:
% res: contain... |
de88810e3ae27b58a4a6e9972a7204d20c49c4ed81d8ff9a4951625bf29f6296 | MATLAB | 2,077 | 63 | % hist2() - draw superimposed histograms
%
% Usage:
% >> hist2(data1, data2, bins);
%
% Inputs:
% data1 - data to plot first process
% data2 - data to plot second process
%
% Optional inputs:
% bins - vector of bin center
%
% Author: Arnaud Delorme (SCCN, UCSD)
% Copyright (C) 2003 Arnaud Delorme, Salk ... |
f4b6ee4e2f970e7f064290dcf866ea3e3f08928ea20537a72818b2856bf89c4a | MATLAB | 2,077 | 48 | function [numTrack, numAdditionalTrack] = countTotalNumTrackletsFrDiffAnalysisRes(transDiffAnalysisResCrop)
%COUNTTOTALNUMTRACKLETS look at output of DC-MSS and count how many tracklets there are in total
%
%INPUT: transDiffAnalysisResCrop (cell array) output of
%basicTransientDiffusionAnalysisv1.m
%
%OUTPUT: ... |
7bfcaf1c5dea11068781cbeb4198d269286e2db6bc22c49989562ff7da2210a7 | MATLAB | 2,078 | 97 | function y=calcRadius4(anatim,maskim,rotangle,mii)
% Usage ... y=calcRadius4(anatim,maskim,angle,mii)
[i1,i2]=find(maskim);
cropim=anatim(min(i1):max(i1),min(i2):max(i2));
cropmsk=maskim(min(i1):max(i1),min(i2):max(i2));
if (rotangle~=0),
rotim=imrotate(cropim.*cropmsk,rotangle,'bilinear');
else,
rotim=cropim;
e... |
c5b9c5ab5bf4dc270d665352af5b40017b273325a32159b6af3a65ef4ba369c1 | MATLAB | 2,078 | 60 | function tests = ea_explorer_statlist(varargin)
% first input can be the variable, if applied, will only return the correct
% tests (e.g. binary / continuous).
if nargin
outcomein = varargin{1};
if iscell(outcomein)
outcomein = outcomein{1};
end
outcomein(isnan(outcomein)) = 0; %convert NaN in ... |
d62a4c9b9332ac844b3d2b9fb2cd0bd73c6c522e08ae80ffece85eaa85be789d | MATLAB | 2,078 | 55 | function [dat] = bz_scrubTracking(dat)
% USAGE
% [dat] = bz_scrubTracking(dat)
%
% INPUTS
% dat - struct created by calling dat = importdata(file.csv) on a csv
% file exported from a .tak file
%
% OUTPUTS
% dat - the same struct 1) outliers removed
% 2) median filtering
% ... |
c79b31f3d84784e8bd1849fd7e055739a7a7f5d6e149d74033a13709e80599e9 | MATLAB | 2,079 | 76 | function auto_corr_rm = plot_rate_map_ac(self, cel, rate_map, xs, ys)
% Plots the autocorrelation of the ratemap
import CMBHOME.Utils.*
if ~exist('rate_map', 'var'), rate_map=[]; end
if ~isempty(rate_map) %&& exist('sx', 'var') && exist('ys', 'var')
%rate_map = rate_ma... |
744bfb72548ebf3be1d84e529761531dcba0d651dfa935d98c3cd9d7be469421 | MATLAB | 2,080 | 64 | function is_sldrawing = is_straight_line_drawing(A,X,varargin)
% IS_STRAIGHT_LINE_DRAWING Test if coordinates are a straight line drawing
%
% is_sldrawing = is_straight_line_drawing(A,X) determines if the
% coordinates of each vertex in X allow the graph A to be drawn with
% straight lines and no edges crossings. is_s... |
661bb0c70915b630dc508b13048f41fdc3c18174e64c37510127afdc2f76c75d | MATLAB | 2,084 | 66 | function makeimagingplots(headpath,tuningfilename,savemode,examples,fileexpnum)
%select a tuning file. Make the timecourses, tuning curves, and ROI
%figures. Save them. Also select examples for particular experiments or
%ROIs to look at averages
%examples is a flag if you want to run it
%fileexpnum is only relevant i... |
b1e4cb18ffd958c8e533ec5fc5faa04866e131841d176bfef6e17ad98d518876 | MATLAB | 2,084 | 68 | %%**********************************************************************
%% blktrace: compute <X1,Z1> + ... + <Xp,Zp>
%%
%% SDPT3: version 3.1
%% Copyright (c) 1997 by
%% K.C. Toh, M.J. Todd, R.H. Tutuncu
%% Last Modified: 16 Sep 2004
%%**********************************************************************
function tr... |
c873e0ad6de2b477b20abede05c1f7b6e878e14083cb6baace631108c3eff0de | MATLAB | 2,084 | 71 | function bz_database = bz_database_load(database_name,filters)
% Loading the Buzsakilab metadata-database
%
% v1.3
%
% INPUTS
% load_database :
% Which database to load. Default: 'buzsakid_metadata'
%
% filters :
% Filters by column names can be applied according to mySQL standards:
% Conditions: AND, OR
% Operators:... |
36903d0449759d1cd23e43248ddea98944aa1a7c190de1bbc35db51a2918d640 | MATLAB | 2,085 | 38 | function [score, state] = CBIG_MMLDA_get_amyloid(UPENNBIOMK_file, ...
UCBERKELEYAV45_file, amyloid_phase, phase, rid, viscode)
% [score, state] = CBIG_MMLDA_get_amyloid(UPENNBIOMK_file, UCBERKELEYAV45_file, amyloid_phase, phase, rid, viscode)
%
% Get amyloid score and state from UPENNBIOMK and UCBERKELEYAV45 spread... |
c5a93447fa442d50045d8103e41144a7ea2e5a11c3f166efbcd630b70d079993 | MATLAB | 2,085 | 60 | function [handles] = callsmoothfilt_master(handles, dataID, w)
if nargin<2
dataID = 1;
end
handles = loadtrace(handles, dataID);
if ~isempty(handles.spineROI)
spID = handles.spine_title;
spineROI = handles.spineROI;
trace_stamp = handles.spine_dff;
tc2 = [];
for i = 1:length(spID)
tc2(:,... |
d0e8a6cfcbbc85ddd26a472500ceefbdbc90ccd92c5a8409eeb44642a5ab9e62 | MATLAB | 2,085 | 53 | function [a_array1, b_array1] = generate_connectome_richclub(a_array,b_array, lambda, topology, hub_centres, hublength)
%GENERATE_CONNECTOME_EDR Summary of this function goes here
% Detailed explanation goes here
if ~all(size(a_array) == size(b_array))
error('a_array and b_array must be same size');
... |
dceb757695002394458c9ef6e4be5ce954d63e25a931edceb98f41b858c377c5 | MATLAB | 2,085 | 62 | % NOTES:
% - standard folders and variable names are created by this script
%
% - extracted fmri_data objects are saved in DATA_OBJ variables
%
% meta-data saved in image_names_and_setup.mat
% image data saved in data_objects.mat
%
% - you only need to run the prep_ scripts once. After that, use
% canlab_simple... |
7764573b8fa2e5c789fa26508fe2647c298fd9d89028a0dedf604e88a1b7d7fb | MATLAB | 2,086 | 57 | function [] = ADP_Motion_Correction3(inFolder, outFolder, rigid)
if(nargin<3)
rigid = true;
end
fprintf('\nFolder %s\n',inFolder);
% outFolder = strrep(inFolder,'RawData','MotionCorrected');
fprintf('\nLoading...');
[Y, Yred] = makeStacks3(inFolder, 10);
fprintf('Do... |
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