sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
622f9c91e40568cdaaed6c16fcb1a4ff73e1709ee4d5ebc9d44c08e7bed21895 | MATLAB | 986 | 16 | % output = transres_primal_SVM_weights(decoding_out, chancelevel, cfg, varargin)
%
% Calculates the weights in source space (primal problem), if a linear SVM
% was used (otherwise no weights can be calculated for the primal problem).
% Use this function if you want to plot results or do other calculations
% that requ... |
1d2868602a4a11f0187c422f1c3748ebc7bad7318f55ab129a3c27d5eb3e6de2 | MATLAB | 989 | 34 | function E = E_diff(E,diff,kmax,N)
% E = E_diff(E,diff,kmax,N)
%
% Function to build E operator with diffusion effects for standard EPG
% 3 states per k-value).
%
% E = relaxation matrix (diag(E2 E2 E1))
% diff = structure with fields:
% G - Gradient amplitude(s)
% ... |
0d9816e6de13fa8df9eea39e081554dc1a6bd8054a244b52d50f6f59b4d3c113 | MATLAB | 990 | 32 | function [x, y] = MakeRoseplotData(xInt, yVec, int, distOption)
if distOption == 1
%% Plot Roseplots from 0 to 90
x = xInt:xInt:(90 - xInt);
x = [x', x', x']';
x = [0; 0; x(:); 90; 90]*pi/180;
angList = xInt/2:xInt:(360 - xInt/2);
angList = [angList; angList];
angList = angList(:)*pi/180;
... |
f7b936866050c43ab339432d8054518e0e06700dff613026338a40acf2e701b2 | MATLAB | 990 | 39 | function [X] = idwt1(approx, detail, g_i, h_i, len)
% Performs a 1-dimensional single inverse discrete wavelet transform.
%
% [X] = idwt1(approx, detail, g_i, h_i, len)
% License:
%=====================================================================
%
% This is part of the Princeton MVPA toolbox, released under
% the... |
513b45b703d01d9cd28a8c43324f3a0e3b644391c939f925694ecbe3a270272d | MATLAB | 991 | 33 | function [dat,clabel, chans] = load_example_data(filename, do_zscore)
% Loads an example dataset.
%
% filename - epoched1.mat, epoched2.mat, epoched3.mat
%
% Output:
% dat - struct containing the data
% clabel - class labels
% chans - struct specifying the positions of the channels for plotting
if narg... |
c0532a99536696288cde3ae9041e6d97a5cb79482e637df25f19e83ddc303cf1 | MATLAB | 991 | 30 | function [cc,pv] = phase_correlation_distance( pl, source, spacing )
% *WAVE*
%
% PHASE CORRELATION DISTANCE correlation of phase with distance
% (circular-linear), given an input
% phase map
%
% INPUT
% pl - phase map (r,c)
% source - source point... |
cf23a1ee2adcf1240319198be32803d2911ee6f3c85762df8b04867569ecae97 | MATLAB | 991 | 37 | function dat=kalmanfilter(t,inp);
% Here's the matlab code - hope it makes sense - we run this on the encoder
% values and I have lost th epape which say why we choose Q this way
% Best wishes
% Daniel
% t is the time stamp of the input;
% inp is the one dimensional input
% Kalman filter settings
w=30; % sd in acce... |
215e8a2627370f8dd7f9fa2f2786e7c3a2dd5c702d4ae8cff513f73a0c6e8abf | MATLAB | 992 | 57 | function [eta,B] = ETAngAverage(t1,t2,data,binsize,nbins)
nt1 = length(t1);
nt2 = length(t2);
% we want nbins to be odd */
if floor(nbins / 2)*2 == nbins
nbins = nbins+1;
end
m = - binsize * (nbins / 2);
B = zeros(nbins,1);
for j = 1:nbins
B(j) = m + j * binsize;
end
binsize = binsize*10;
% cro... |
bc7ba1d0f697d6d1eeb9da7614caa252ecbe09296adb1a981019410485940d46 | MATLAB | 992 | 42 | function diff = derivativeCheck(funObj,x,order,type,varargin)
% diff = derivativeCheck(funObj,x,order,useComplex,varargin)
%
% type = 1 (simple forward-difference)
% type = 2 (central differencing - default)
% type = 3 (complex-step deriative)
if nargin < 3
order = 1; % Only check gradient by default
if nargin < 4
... |
c92349eb227dd709dba6fbe6725767078cebddb7a6523e0d678bd9b45465a902 | MATLAB | 992 | 26 | function [y, extra, invhess] = mlpevfwd(net, x, t, x_test, invhess)
%MLPEVFWD Forward propagation with evidence for MLP
%
% Description
% Y = MLPEVFWD(NET, X, T, X_TEST) takes a network data structure NET
% together with the input X and target T training data and input test
% data X_TEST. It returns the normal forward... |
7136ede88b9dba2fadd358c908908e7278c62985331d743143192c959ee272ac | MATLAB | 993 | 27 | function stackConfig = scDeleteIterationsFromStackConfig(stackConfig, iterationsToDelete)
% This function deletes iterations from stack config. enter which
% iterations you would like to delete
%% Input Checks
if (length(iterationsToDelete) > 1)
error('Cannot delete more than one iteration at a time');
end
... |
7d69fc1b3249ce23c2fd63c75d1cb3f709e20af87cfa21ca59713a03b611256e | MATLAB | 993 | 30 | function MakeSpikeWidth(varargin)
% MakeSpikeWidth - computes and saves cell waveform features : half peak width and peak to peak
% both of them in ms.
%
% USAGE
%
% MakeSpikeWidth(fbasename)
%
% fbasename (optional) file base name (default: folder's name)
%
% Copyright (C) 20012-2018 by Adrien Peyrache
%
% ... |
571c75439535594d4386c3e6f360c0d00680ee8e729432aeb248996179194a62 | MATLAB | 994 | 28 | function [y, extra, invhess] = glmevfwd(net, x, t, x_test, invhess)
%GLMEVFWD Forward propagation with evidence for GLM
%
% Description
% Y = GLMEVFWD(NET, X, T, X_TEST) takes a network data structure NET
% together with the input X and target T training data and input test
% data X_TEST. It returns the normal forward... |
cd152b7bfc82eb6e666dc6cee3018b23be043f9b9102b17c2223f1fa7cc14880 | MATLAB | 994 | 33 | % X = vspharm(theta,phi,l,m)
%
% Vector spherical harmonic funtion (Arfken, p. 708) for quantum
% numbers l and m. Angles theta and phi should be given in radians.
% First component of X is the e_theta component and the second
% component is the e_phi component.
%
function X = vspharm(theta,phi,l,m)
scale = -1/sqrt(l*... |
fa0ff8f2dd1881e9736550c22c1ee6941e98e949525d9eccc42c089b74d765fa | MATLAB | 995 | 22 | function smoothedTracks = SmoothTracks(tracks, numNearestNeighbors)
idxArray = unique(tracks(:, 4));
smoothedTracks = zeros(size(tracks));
for i = 1:length(idxArray)
idx = idxArray(i);
currIdx = tracks(:, 4) == idx;
currTrack = tracks(currIdx, 1:3);
newTrack_x = [];
newTrack_y = [];
for j = 0:n... |
04c062008423bdef002014e1d6dfad4cc11d9c22af15141466ca05e614d44dc5 | MATLAB | 996 | 26 | function msBatchSelectFluorThresh(dirName)
%MSBATCHSELECTFLUORTHRESH Summary of this function goes here
% Detailed explanation goes here
dataFolders = msBatchFindDataFolders(dirName,[]);
for folderNum = 1:length(dataFolders)
currentFolder = dataFolders{folderNum};
dirData = dir(currentFold... |
a021da72a56bc3578b3bfede2713cd851f3e9e890faecd7768d07860ff1b1e89 | MATLAB | 996 | 30 | function net = rbfsetfw(net, scale)
%RBFSETFW Set basis function widths of RBF.
%
% Description
% NET = RBFSETFW(NET, SCALE) sets the widths of the basis functions of
% the RBF network NET. If Gaussian basis functions are used, then the
% variances are set to the largest squared distance between centres if
% SCALE is n... |
c9c13b89668bfa48fdc566473bdcbca28902053b6566e0b15dcda340eb5838cd | MATLAB | 997 | 39 | function X = fast_pca(in_X, K)
in_X = in_X - repmat(mean(in_X),size(in_X,1),1);
[U, S, ~] = rsvd(in_X, K);
K = min(size(S,2),K);
X = U(:,1:K)*diag(sqrt(diag(S(1:K,1:K))));
X = X./repmat(sqrt(sum(X.*X,2)),1,K);
end
function [U,S,V] = rsvd(A,K)
%--------------------------------------------------------------------------... |
20a29b98e5b71f50f75d204a4cf266a5b8e961df79dff8ba374dba5050e9657c | MATLAB | 999 | 26 | %function [EegSegAv EegSegStd EegSTrange] = TriggeredAvM(data,T,chanIx,win,sr,nChannels,SignalType)
% trigered averages subset of channels from file or matrix
% within a window of win (in msec)
% method : 1, to load all channels for each segment around trigger (if nChannels/nTriggers is large)
% 2, to loa... |
53ed4dd39b565f993e5c5ec852074a6d2657bce3574620e67cb6ba12564eb14f | MATLAB | 999 | 40 | function [Ehat, Phat] = getModelJR(K_or_F, I, head, target, light, sines)
% function [Ehat, Phat] = getModelJR(K_or_F, I, head, target, light, sines)
%
% Get model predictions
% Make sure its ok to use impulse response version of simulation
if any(light)
I.impulse_or_closedloop = 0; % Use closed loop version
end... |
5b7d1b1e6893a2552f2f063e73a4faf4b8d6256fae5108072ab3750d7aeef657 | MATLAB | 999 | 30 | %Defines where flicker data is, as well as where dependent repositories
%are.
%2024/02/25
function [flicker_root_dir, repo]=define_flicker_root_dir()
%root directories:
if ispc
root_dir='Z:';
repo_dir='C:/Users/lblanpa/Documents/Code';
elseif ismac
root_dir='/Volumes/groups/';
... |
3c3040c7ce38f8e142757f56166cde2b477ec462e106c870709a9fc2f899f264 | MATLAB | 1,000 | 33 | function y=CalcCSFpulse(targetpath,savepath,name_sub,name_epi,TR,TE,FA,GoFlag1,GoFlag2)
nowtime_temp = datevec(datetime);
year = num2str(nowtime_temp(1));
if nowtime_temp(2)<10
month = ['0' num2str(nowtime_temp(2))];
else
month = num2str(nowtime_temp(2));
end
if nowtime_temp(3)<10
day = ['0' num2st... |
31220af1ed900dcaadd8e66e9b15de6f36c16c33c480a4457f8f6be6a571676b | MATLAB | 1,001 | 34 | function [gx] = g_BSL(x,phi,u,in)
% observation function for a Bayesian sequence-learner (BSL)
% function [gx] = g_BSL(x,theta,u,in)
% BSL is guessing the next outcome y_t based upon P(y_t=1|y_{t-1}), ie her
% bet actually depends upon the past sequence of outcomes.
% IN:
% - x: sufficient statistics of log-odds of P... |
3752c40cc25e7d757e375f7de06f99f33bbe52770085bf23b34eb558172ba527 | MATLAB | 1,001 | 37 | % learning wavelet
wname = 'bior3.9';
fb = dwtfilterbank('Wavelet',wname);
[Lo,Hi] = filters(fb);
[RF,DF] = biorwavf(wname);
[LoD,HiD,LoR,HiR] = biorfilt(DF,RF);
% I don't understand how different lvls of wavelets are obtained,
% interpolation?
[psi, t] = wavelets(fb);
[phi, t2] = scalingfunctions(fb);
spsi = waveletsu... |
eb983c05df0b4cebbd5aa5f52a9efa46c652e4925fc79e1df9fd8af424f663cf | MATLAB | 1,001 | 45 | function accuracy = accuracyInTimeBin(data,epoch,variableName,errorFunc)
K_FOLD = 10;
BIN_SIZE = 300;
JUMP_SIZE = 50;
boolFail = [data.trials.fail] | ~[data.trials.previous_completed];
if strcmp(data.info.task,'choice')
boolFail = [data.trials.fail] | ~[data.trials.choice] |...
~[data.trials.previous_comp... |
13910fbdc946e0e0d1bb842eebf21555aa8a53b7b50234e894c99c766b84ab49 | MATLAB | 1,002 | 33 | function x_dot = dp(x,K,gNa,gK,gL,gKm,C,ENa,EK,EL,Vt,Vs,I)
% SOURCE: https://journals.physiology.org/doi/full/10.1152/jn.1999.81.4.1531
N = length(x)/5;
V = x(1:N);
m = x(N+1:2*N);
h = x(2*N+1:3*N);
n = x(3*N+1:4*N);
mK = x(4*N+1:5*N);
% sodium
am = -.32*(V-Vt-... |
15c1c9e2677b80403bb333598b96b752cec484dc94d89507f57826cd4b7a88bf | MATLAB | 1,002 | 63 | function [Idx,C] = ClusterSpkTrain(data,n)
% [Idx,C] = ClusterSpkTrain(data,n) clusters binned spike trains in data into n clusters
%
% INPUT :
% data: a matrix in the form time bins x cells
% n: number of clusters
% OUTOUT:
% Idx: cluster indices associated with each cell
% C: simimlarity matrix
%
% ad... |
8166e0267f78b0ed4399d85668d35e9ef2b32c658835123aaaaed6912b148f74 | MATLAB | 1,002 | 39 | function S = EPGX_MT_shift_matrices(Nmax)
% Generates shift matrices up to order Nmax for 4 component 2 pool MT case
% Layout of state vector is [F0A F0*A Z0A Z0B F1A F-1A Z1A Z1B ... etc]
% i.e. 4 states per n-value
%
% Shaihan Malik 2017-07-20
N = (Nmax+1) * 4;
S = zeros([N N]);
%%% F(k>=1) look @ state... |
1258571f5527ed17467fc7d0f64120ee845911ba0a5be69610b6c13866b78505 | MATLAB | 1,003 | 29 | function combine_hi_lo_wave_clus_211012(lo_times,hi_times)
%inputs should be directories represented as char or string
%when two thresholds are set for the same channel, this concatonates the
%times files produced by wave clus
lo=load(lo_times);
hi=load(hi_times);
% renumber clusters
largest_lo_cluster=max(lo.cluster... |
601a673828d8c4e073120f9a10cdf70ac48dc7f49c252d11a771d57ae8d8bf8a | MATLAB | 1,003 | 36 | function [wcov,g]=wincov(x,y,percent)
% function [wv,g]=wincov(x,percent)
% returns the winsorized covariance of x & y as wcov
% returns number of winsorized observations at each tail of sample as g.
% x must be a vector.
% percent must be between 0 and 100; the function winsorizes the lower and
% upper extreme g valu... |
be21e89d923e62ef15e9cbe9822c51b20a16744f86c307c15b29b3d33be2ca8e | MATLAB | 1,003 | 28 | % Tutorial script containing the default parameters for use in the tutorial
%
% License:
%=====================================================================
%
% This is part of the Princeton MVPA toolbox, released under
% the GPL. See http://www.csbmb.princeton.edu/mvpa for more
% information.
%
% The Princeton MVP... |
dc2c4f41e3e76d756aef4dfa6989dfe97acfd09083ba38cecd9647b953c9d9c4 | MATLAB | 1,003 | 36 | function threshMap = thresh2ClusterSize(map,nbrhood,clusSize,varargin)
%Iteratively thresholds map till a particular cluster size is achieved -
%works best (for now) if only 1 cluster is present in map
nbrhood_mat=cosmo_convert_neighborhood(nbrhood,'matrix');
%mask data if it is provided (mask is a logical that is th... |
1d5c21d409de764cb75759f1c2df7954375ec53d6c8690c494db5dc17fffcb9d | MATLAB | 1,004 | 28 |
addpath(genpath('/Users/james/contamination/Toolbox/'));
set(gcf,'visible','off')
%% Global parameters
DIR = {'NY717', 'NY718', 'NY869', 'NY857', 'NY786', 'NY720', 'NY744', 'NY758','NY837', 'NY733', 'NY741', 'NY751', 'NY802', 'NY756', 'NY723','NY781', 'NY830', 'NY721', 'NY753', 'NY863', 'NY763', 'NY743','NY838', '... |
b9f30fdefc9f45475d298039cc041611002077da3319c4ecee8cadaba743cfd2 | MATLAB | 1,005 | 27 | function cdf_Paxm = computeCDFpowerlawdistributionHZ(x_vals, a_hat, x_min)
% computes the complementary CDF of a discrete power law distribution using
% the generalized zeta function (Hurwitz zeta)
% cdf_Paxm = hurwitzZeta(a_hat, x_vals)/hurwitzZeta(a_hat, x_min);
% [glu_hurwitzZeta, ~] = loadhurwitzZetaLookup... |
ffd5308c65fa1adff463d8934cb48b0c2d6277de6aebdb1397ffdfc1ce0b4b55 | MATLAB | 1,005 | 31 | function [subj] = remove_objsubfield(subj,objtype,objname,fieldname,subfieldname)
% Removes the subfield from an object.
%
% SUBJ = REMOVE_SUBFIELD(SUBJ,OBJTYPE,OBJNAME,FIELDNAME,SUBFIELDNAME)
%
% See remove_objsubfield for more information
% License:
%================================================================... |
f26c84b7e64184686f72f37d7a2a7c514e41bdf17655d66c8ebbd904f04ec979 | MATLAB | 1,006 | 38 | function [cov, covf] = gpcovar(net, x)
%GPCOVAR Calculate the covariance for a Gaussian Process.
%
% Description
%
% COV = GPCOVAR(NET, X) takes a Gaussian Process data structure NET
% together with a matrix X of input vectors, and computes the
% covariance matrix COV. The inverse of this matrix is used when
% calcul... |
2173d8ca9039b3aef52b26ae87330324437a96603c172194ac5909951805d6f3 | MATLAB | 1,007 | 31 | function net = mlpinit(net, prior)
%MLPINIT Initialise the weights in a 2-layer feedforward network.
%
% Description
%
% NET = MLPINIT(NET, PRIOR) takes a 2-layer feedforward network NET and
% sets the weights and biases by sampling from a Gaussian distribution.
% If PRIOR is a scalar, then all of the parameters (weigh... |
00570ba712f33ab8d346dfad7e4a4311e3ec8cfa40a6ad39c8f99e19fc857ee3 | MATLAB | 1,009 | 33 | function MachSetStandardPriority
% MachSetStandardPriority
%
% OS X: ___________________________________________________________________
%
% Restores the standard priorty flavor THREAD_STANDARD_POLICY to the main
% MATLAB thread. MachSetStandardPriority undoes previous calls to either
% MachSetTimConstraintPolicy or... |
c28b4ceeca33cf99b49d59da9b9df84bc7e7a3ac2e600e595cfa134c48868c68 | MATLAB | 1,009 | 50 | function setup_directories(p)
% Create all directories that are necessary for the following analyses.
% This is where data/results are stored.
base_dir = p.dirs.base;
if ~exist(base_dir,'dir')
mkdir(base_dir)
end
data_dir = fullfile(p.dirs.base, 'data');
if ~exist(data_dir,'dir')
mkdir(data_dir)
end
analysis... |
f652e3ea7d365639e5314316f32959b23847244253e2080d4a2ab830756fc38a | MATLAB | 1,009 | 25 | function as = build_step2_accumulation_structure(params, step1)
% estimate sampling frequency to transform time values into array indices values
t = step1.time;
sfreq = round(1/median(diff(t)));
as.sfreq = sfreq;
%% signal will be cut in time_windows surrounding each event
% the limit... |
24d0d8b738fb635907e6a98ca008919f7046bf673b492b350c575758a5c76123 | MATLAB | 1,010 | 32 | function S = makeHistoryMatrix(data, nt_filter, pad_data_or_zero, filtLP)
% function S = make_history_matrix(data, nt_filter, pad_data_or_zero, filtLP)
% Convert vector to matrix for for GLM use
% Hannah Payne
%
% To do lowpass filter:
% filtLP.dt % (s)
% filtLP.f % (Hz)
% Columize
data = data(:);
% Pad eit... |
f2574cdc1107d199c2999e26cf3c7f5c6001651bc6955fdf04bbba9f1a0f6a2a | MATLAB | 1,010 | 29 | function combine_hi_lo_wave_clus_211020(lo_times,hi_times,lo_name)
%inputs should be directories represented as char or string
%when two thresholds are set for the same channel, this concatonates the
%times files produced by wave clus
lo=load(lo_times);
hi=load(hi_times);
% renumber clusters
largest_lo_cluster=max(lo... |
9399c120daf89ace6aa9466a4cb9d975546c4b5784b197613016fc79b0dbee23 | MATLAB | 1,011 | 35 | function val = getHomer2_paramValue(funcName, paramName, file)
val = [];
DEBUG=0;
if DEBUG
fprintf('Searching Homer2 output %s for %s: %s value\n', file.name, funcName, paramName);
end
load(file.name);
for jj=1:length(group.subjs)
for kk=1:length(group.subjs(jj).runs)
for iFunc=1:length(group.subjs(jj... |
ec0b4d5c96fce7ab0a3ecdb42fa657555cf3223d7c4b725da457320e0598ec33 | MATLAB | 1,012 | 35 |
function lat = halfPeak(data,inx,raster_params,plot_option)
psth = getPSTH(data,inx,raster_params);
baselineRate = mean(psth(1:(raster_params.time_before)));
response = psth((raster_params.time_before):end);
if mean(response)>baselineRate
[peakRate,inxPeak] = max(psth((raster_params.time_before):end));
inxPea... |
5cf8f601585af488e0c29f75639cbb160068bc542ef04657f025fc5a95a8b9d3 | MATLAB | 1,014 | 26 | % function output = transres_MSS_diff(decoding_out, chancelevel, varargin)
%
% Get the sum of squares difference between predicted and true labels. This
% function is particularly useful for regression approaches, but can also
% be used meaningfully for classification when neighboring classes are also
% more similar to... |
4d3f4ed51d3fe81c179bfeda7ed457189cc32e3ac4dca5480fcafa7f55b96210 | MATLAB | 1,016 | 58 | function [Az,tp,fp,fc]=rocarea(p,label);
% [Az,tp,fp]=rocarea(p,label) computes the area under the ROC curve
% corresponding to the classification output p. Labels contain the truth
% data {0,1}. tp and lp are the true and falce positive rate. If no output
% arguments are specified it will display an ROC curve with th... |
ca3708ec6cb64ce6f131e3435e9841d446a5b3f6b92c4de1420bdf2e75148587 | MATLAB | 1,016 | 42 | function x = IWT_PO(wc,L,qmf)
% IWT_PO -- Inverse Wavelet Transform (periodized, orthogonal)
% Usage
% x = IWT_PO(wc,L,qmf)
% Inputs
% wc 1-d wavelet transform: length(wc) = 2^J.
% L Coarsest scale (2^(-L) = scale of V_0); L << J;
% qmf quadrature mirror filter
% Outputs
% x 1-d signa... |
def3c709bd8dc5614d42bb116c0671a99532b607829a1e46d50e7a12b8bcdade | MATLAB | 1,016 | 29 | function msBatchSelectAlignment(dirName)
%MSBATCHSELECTALIGNMENT Summary of this function goes here
% Detailed explanation goes here
dataFolders = msBatchFindDataFolders(dirName,[]);
for folderNum = 1:length(dataFolders)
currentFolder = dataFolders{folderNum};
dirData = dir(currentFold... |
51836923c638ebd2b09ec550854d7a781e53918ece032b6b74b59df1f463b0c2 | MATLAB | 1,017 | 36 | function [vx, vy, vz, relMat] = LKxOptFlow3(I1,I2,sig,thresh)
if nargin == 2
sig = 3;
thresh = 0;
elseif nargin == 3
thresh = 0;
end
[a, b, c] = DecomposedGaussian3(sig, 6);
I1 = double(I1);
I2 = double(I2);
dxI = I1 - circshift(I1, [0, 1, 0]); dxI(:, 1, :) = 0;
dyI = I1 - circshift(I1, [1, 0, 0]); dy... |
e25be2ae81748780247527f92e62f5b9f89b9275c66f1a39ca7dccb5c20f7d07 | MATLAB | 1,017 | 24 |
function paperDefaults
ill_scale = 1; % 1.28 scaling difference in font sizes in illustrator?
num_font = 6;
label_font = 7;
font = 'Myriad Pro';
set(0, 'DefaultFigureColor', 'white', ... % Figure background white
'DefaultAxesColor', 'none', ...
'DefaultAxesBox', 'off',...
'DefaultAxesTickDir',... |
3a20587d97c98a64ea795b1ba576c6a0e4172ffc1f05db7981a491ff78b1ff30 | MATLAB | 1,018 | 22 | function [] = runTooSlow(taskStruct, dispStruct, trialStruct)
Screen(dispStruct.wPtr, 'Flip');
Screen('TextSize', dispStruct.wPtr, 40);
Screen('TextColor', dispStruct.wPtr, dispStruct.textColor);
[~, ny] = DrawFormattedText(dispStruct.wPtr, '- Too Slow! -', 'center', 50);
Screen('TextSize', dis... |
4182024993119dc7ab76bdbe25116f5bbdb216f1094a0784b055e84bd6063714 | MATLAB | 1,018 | 36 | function skullstrip_mean()
clear filenames
clear cfg
cfg = load('neurovar_cfg.mat').cfg;
expression = ['('];
n_subs = 44;
for i_sub = 1:n_subs
filenames{i_sub, 1} = fullfile(cfg.sub(i_sub).anat_dir, strcat('be_w', cfg.sub(i_sub).anat_fn));
expression = [expression, strcat('+ i', num2str(i_sub))];
end
express... |
4f53377b0f50657180b8a821c5cc4e4980851357003a55aa09b288708d367ddd | MATLAB | 1,018 | 34 | function [boi]=plot_freq_bins_bar_220210(time_idx,index,chan_2_plot,bin_width_sec,fs)
bins_edges=[time_idx(1):time_idx(bin_width_sec*fs):time_idx(end),time_idx(end)];
index=index/1e3;
vec_2_plot=[];
for pts=1:length(bins_edges)-1
freq=sum(index>bins_edges(pts)&index<=bins_edges(pts+1))/bin_width_sec;
vec_2_plo... |
5e8287f96bc4ec9c669c37e4dbdbeb6f0e442d0789416117ed7f06b298ff834f | MATLAB | 1,018 | 55 | function tsv = readTsv(filename, option)
tsv = struct([]);
if ~exist('filename', 'var')
filename = '';
end
if ~exist('option', 'var')
option = '';
end
[p,f,e] = fileparts(filename);
if isempty(e)
e = '.tsv';
end
filename = [filesepStandard(p), f, e];
if ~ispathvalid(filename, 'file')
return;
end
numstr... |
89e0c9f326c19624221a2303a10e025e0c8a8e1671e838eee1af4824af36339a | MATLAB | 1,018 | 33 | xline([0 3000 10000],":r",{'LP/CS', 'US', 'Fin CS'},'LabelOrientation','horizontal',HandleVisibility='off',LineWidth=1.5, FontSize=15);
%xline(0,":r",'Licking onset','LabelOrientation','horizontal',HandleVisibility='off',LineWidth=2.5, FontSize=15);
yline(0,'-', HandleVisibility='off');
ylabel(['Z-Score of ∆F/F +/- S... |
8b87349b9e4c8c7b3a92d88334dca3e6d1c7e7d0cfdc328ac70c4666cfec3e68 | MATLAB | 1,018 | 47 | % MA_RMS moving average RMS of a signal.
%
% Y = MA_RMS( X, M, RMSFLAG )
%
% RMS computed in a moving average window of M samples:
%
% RMS(n) = sqrt( 1 / M * sum( ( x(n-k) )^2 ) )
%
% where the summation is over k=-M/2:M/2 (odd M... |
c5a4e1179ffb9bb6c01c31079f76e85d29ed78d438b0cff6dc388d3efb85ead0 | MATLAB | 1,019 | 27 | %{
Copyright (C) 2023 N. Suhas Jagannathan
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 your option) any later version.
This program is distributed i... |
0bfe58796b3ef733ff449d4a556770f0af50ab2a64e98420b23e9da9bbbb24bc | MATLAB | 1,021 | 28 | % dataClass1, dataClass2, dataClass3
featuresClass1 = extractFeaturesCSP3Classes(dataClass1, dataClass2, dataClass3, 0.1);
featuresClass2 = extractFeaturesCSP3Classes(dataClass2, dataClass1, dataClass3, 0.1);
featuresClass3 = extractFeaturesCSP3Classes(dataClass3, dataClass1, dataClass2, 0.1);
% 创建特征和标签矩阵
featur... |
916294bd4eb5017434107a99aac48347521f152706986d8d1e598fe15a3266d3 | MATLAB | 1,021 | 30 | function SO = mapArray(S, cmd_string, varargin)
% Applies function on each element of the array
%
% USAGE:
% SO = mapArray(S, cmd_string, arg1, ..., argN)
%
% Similarly to Python's function, map applies the commands indicated in
% cmd_stirng to each elements of the tsdArray S. In cmd_string, the input
% tsd ar... |
4182e38874d8a88b0b79f4670a94fcaefe07e518ea1c7a6a1aeb8a1b51b7b7fc | MATLAB | 1,022 | 57 | function TSO = oneSeries(S)
% Sorts all the points in each element in the tsdArray, and returns a single tsd with all the points
%
% USAGE:
% tso = oneSeries(tsa)
% copyright (c) 2004 Francesco P. Battaglia
% This software is released under the GNU GPL
% www.gnu.org/copyleft/gpl.html
sz = size(S.C{1});
... |
e9eea3ed0d24f9b8d7d6a02d102bd629523f3e01f94614147e103bda2db87e62 | MATLAB | 1,024 | 31 | function recalibrate_eyetracker(Experiment)
Display = Experiment.Display;
if strcmp(Experiment.Mode.eyetracking,'Yes')
el = EyelinkInitDefaults(Display.window);
% Calibrate the eye tracker
% setup the proper calibration foreground and background colors
el.backgroundcolour = [0 0 0]... |
32e10199aa4d35eb81ed2f751c2f3eef29d4a7b09d711cbb3cc002e3cf8177f7 | MATLAB | 1,025 | 35 | function ph = firingPhaseHilbert(eeg, S,W,epoch)
% ph = thetaPhaseHilbert(CRtheta,S) copmute firing phase of spikes with the Hilbert Transform
%
% INPUTS:
% CR: tsd containing EEG filtered in the frequency domain of interest (e.g.
% theta, or gamma
% S (optional): tsd array of cells, the firing phase of each s... |
64ba5def1be293c729d26d1caa4aed6e1fe40ec22962460f23f7bcbfd0ba3a81 | MATLAB | 1,026 | 41 | clear
[task_info,supPath] = loadDBAndSpecifyDataPaths('Vermis');
PLOT_INDIVIDUAL = 0;
runningWindow = -300:300; %ms
req_params.grade = 7;
%req_params.ID = 4000:6000;
req_params.remove_question_marks = 1;
req_params.num_trials = 20;
req_params.remove_repeats = false;
req_params.cell_type = 'PC cs';
lines1 = findLi... |
f50261bf3ff26b0daa0c686647bd7713bee52330817563029b42a222e6f04dae | MATLAB | 1,026 | 37 | % kernel unit test
%
% rbf kernel
tol = 10e-10;
% Random data
N = 50;
F = 10;
X = randn(N,F);
X(1,:) = X(1,:) + X(2,:);
% kernel parameters
param = [];
param.gamma = 1/F;
%% rbf_kernel(X) and rbf_kernel(X,X) should yield the same result
K1 = rbf_kernel(param, X);
K2 = rbf_kernel(param, X, X);
print_unittest_result(... |
8bf7b8238c744607bd2a8132b17d49d6126edcaf6b3cfbc8ba79b94088a66fb7 | MATLAB | 1,027 | 19 | function decoding_out = liblinear_test(labels_test,data_test,cfg,model)
if isstruct(data_test), error('This method requires training vectors in data_train directly. Probably a kernel was passed method is use. This method does not support kernel methods'), end
switch lower(cfg.decoding.method)
case 'classif... |
fadf510d72184db0a7680de17f0ac6c15b6e86f3a79eaaa32f6aa40d244ce54a | MATLAB | 1,028 | 26 | function boris_events = load_boris_csv(filepath, camera_TTL_raising_times)
% This function take a path to a boris csv file and return the headers
% of the columns in header_raw as well as all the data
n_line_header = 1; % In 2021 Doric csv file has two lines of header
fp = fopen(filepath,'r'); % Open the csv file in re... |
1bb4cfc205fe665b0a09e9e64591b701efafb5191a8affe51c1f9eb6d469e819 | MATLAB | 1,030 | 29 | function [psth] = lickSimulation...
(data,lickPSTH,window,alignTo,params,ind)
ind_0_in_psth = params.time_before+length(lickPSTH);
psth = zeros(params.time_after+params.time_before+2*length(lickPSTH),1);
counter = 0;
for t=1:length(ind)
eventTimes = trialLickEvents(alignTo,data.trials(ind(t)),'full')...
... |
ecf5333dcee3fb50687f06cfbff5bae6397a60f7f8396e83f249313460ca1462 | MATLAB | 1,030 | 29 | % Preprocessing unit test
%
rng(42)
tol = 10e-10;
% Random data
N = 100;
X = randn(N,40);
clabel = randi(2, N, 1);
cfg = [];
cfg.preprocess_fun = {};
cfg.preprocess_param = {};
oversample_param = mv_get_preprocess_param('oversample');
undersample_param = mv_get_preprocess_param('undersample');
zscore_param = mv_get_... |
13e97c151d5b1a9318ce0081316a9ad0b4fe88adc3c421ddaf1c185c83879557 | MATLAB | 1,031 | 41 | function [v,d] = eig2x2(x)
siz = size(x);
if numel(siz)>3
error('not yet supported for >3D matrices');
end
if numel(siz)==2
[v,d] = eig(x);
elseif all(siz(1:2)==2)
d = zeros(siz);
v = zeros(siz);
aplusd = x(1,1,:)+x(2,2,:);
detA = det2x2(x);
Discr = aplusd.^2-4.*detA;
d(1,1,:) = (aplusd+sqrt(... |
f52278f7ba9f90e8791959541b92755ce2732ab5b60ffb87abecee42035634ce | MATLAB | 1,031 | 27 | function cqObj = ColorQuiver(vx, vy, cmap, lineWidth, varargin)
ang = atan2(vy, vx);
ang = mod(ang, 2*pi);
ang = RenormalizeImage(ang);
if isempty(varargin)
numBins = size(cmap, 1);
ang = round(ang*(numBins - 1)) + 1;
angs = unique(ang(~isnan(ang)));
cqObj = cell(length(angs), 1);
for i = 1:length(a... |
27fa7f6e93ed95da4a894d9fbd2d25a12c98f89bdad85a522f82390284b376fb | MATLAB | 1,033 | 35 | function [name obj] = get_name(subj,objtype,objno)
% Internal function - gets the object's name from its cell index
%
% [NAME OBJ] = GET_NAME(SUBJ,OBJTYPE,OBJNO)
%
% Returns the name of an object if all you know is its number. Avoids
% directly accessing the subj structure
%
% Useful if you're looping over all the mem... |
db495695c1435c8bb0cf45e7c7fab9fbdb7f83c753e0c0aa7e4c63bdd1016a8f | MATLAB | 1,035 | 42 | function [PCcoeff, PCvec] = pca(data, N)
%PCA Principal Components Analysis
%
% Description
% PCCOEFF = PCA(DATA) computes the eigenvalues of the covariance
% matrix of the dataset DATA and returns them as PCCOEFF. These
% coefficients give the variance of DATA along the corresponding
% principal components.
%
% PCCO... |
b33085a41aee018054031c61eec8f23be6882460eb3695026bbd8225765cc27d | MATLAB | 1,036 | 29 | function g = demgpot(x, mix)
%DEMGPOT Computes the gradient of the negative log likelihood for a mixture model.
%
% Description
% This function computes the gradient of the negative log of the
% unconditional data density P(X) with respect to the coefficients of
% the data vector X for a Gaussian mixture model. The da... |
e0ca9b08b0c57bd38c0cef6372c810503ba6fbe0e5dc40c317f53c47801dcb08 | MATLAB | 1,037 | 27 | function download_example_data(dataset, target_dir)
%Downloads datasets used in the examples.
%
%Usage:
% download_example_data(dataset, target_dir)
%
%Parameters:
% dataset - name of the dataset. Possible values: 'music_bci'
% target_dir - target directory for the data. By default, the data
% ... |
66035279c42669ee59180fa7995cfe549e58a611839b27bf6d6cf32597671736 | MATLAB | 1,040 | 27 | function [resultSave, resultShortsatSave]=fEPI_CSF_simul(RFnum)
%% Simulate EPI saturation effect
TRrepetition=42; % 100~4200
interTRrepetition=2000; % 1~2000
TErepetition=10; % 5~50
resultSave = zeros(TRrepetition,interTRrepetition,TErepetition,RFnum);
resultShortsatSave = zeros(TRrepetition,interTRrepetition,TE... |
8e4e196931bf58f07065768071065b031c4597305dca1ae7f8ccc28227324eb2 | MATLAB | 1,040 | 31 | function w = mlppak(net)
%MLPPAK Combines weights and biases into one weights vector.
%
% Description
% W = MLPPAK(NET) takes a network data structure NET and combines the
% component weight matrices bias vectors into a single row vector W.
% The facility to switch between these two representations for the
% network pa... |
7adf17ea48740b3ee3c53cd6fa84967054afcb260df833552eda362531b0dd0f | MATLAB | 1,041 | 28 | function msBatchGenerateMS(dirName)
%MSBATCHGENERATEMS Summary of this function goes here
% Detailed explanation goes here
dataFolders = msBatchFindDataFolders(dirName,[]);
figureNum = 0;
parfor folderNum = 1:length(dataFolders)
currentFolder = dataFolders{folderNum};
dirData = dir(current... |
4615588044058ad7bbf5fbabed683a1d6868c4e36c8e308ab1aeb3b91415fe8c | MATLAB | 1,042 | 35 | function [mu, kappa, p] = MixedVonMisesFit(angListInRadians, varargin)
if isempty(varargin)
cLevel = 0.95;
else
cLevel = varargin{1};
end
%% Calculate Modified Bessel Functions of the First Kind
xVec = 0:0.001:1000;
I0 = besseli(0, xVec);
I1 = besseli(1, xVec);
I2 = besseli(2, xVec);
A1 = I1./I0;
A2 = I2./I0;
... |
868e245e04de044d5da1050ecd593f7a34d54e4b02a3666c3cf2425701f429b8 | MATLAB | 1,042 | 40 | function U = mv_repelem(V, N)
%Drop-in replacement for Matlab's repelem function (which is not supported
%by some earlier versions of Matlab).
%
%Usage:
% U = repelem(V,N)
%
%Parameters:
% V - [scalar or vector] elements to be repeated
% N - [scalar of vector] number of times each element is repeated (if
% ... |
08ac942411e54ae6e900cc47bbf6848dd8b82eb8171715f1639508d935df372b | MATLAB | 1,043 | 44 | function val = getHomer3_paramValue(funcName, paramName, dataTree, igroup, isubj, irun)
global procStreamStyle
if ~exist('igroup','var')
igroup = 1;
end
if ~exist('isubj','var')
isubj = 1;
end
if ~exist('irun','var') || isempty(newval)
irun = 1;
end
if includes(procStreamStyle,'nirs')
funcName = [func... |
d1ea7f8269c234a4411cc2659c4c3d38c35a3d484f1151f000c96989af8339ab | MATLAB | 1,043 | 40 | function out = charpoly4x4_sym(z)
% compute coefficients of characteristic polynomial of hermitian 4x4
% matrices
% !!!! no check of symmetry is performed
out = zeros(size(z,1),5);
z_abssq = abs(z).^2;
tr1 = trace4x4_1(z);
tr2 = trace4x4_2(z_abssq);
tr3 = trace4x4_3(z, z_abssq);
out(:,1) = 1;
out(:,2) = -tr1;
o... |
19571bdc447060b829300e23c5ea98ff532a74ba527fae005c4735a6d03e3111 | MATLAB | 1,044 | 46 | function [types] = get_typeslist(plurality)
% Auxiliary function
%
% [TYPES] = GET_TYPESLIST(PLURALITY)
%
% Returns a cell array of strings
% with the names of the main types
%
%
% Set PLURALITY to 'single' or 'plural'
% License:
%=====================================================================
%
% This is part ... |
61cd22c9ea403456df1e9bdc96280684f5e91e9fb8b163b43c64c8a8003f6bf8 | MATLAB | 1,044 | 38 | % @title Generate neuron type array
% @file gen_ntype.m
% @author Romain Beaubois
% @date 12 Aug 2021
% @copyright
% SPDX-FileCopyrightText: © 2021 Romain Beaubois <refbeaubois@yahoo.com>
% SPDX-License-Identifier: GPL-3.0-or-later
%
% @details
% > **12 Aug 2021** : file creation (RB)
function nt... |
99aee8b341d208d60dd11a6f91b002e5893cdeb0fc357e3fa5ca1b20b2df363d | MATLAB | 1,044 | 30 | function run_analysis_step2(analysis_folder,animal_folder_listing)
af_name = animal_folder_listing(ii).name;
af_path = fullfile(analysis_folder,af_name);
fprintf('Animal: %s\n',af_path);
%LIST ALL RECORING SESSIONS FOR ONE ANIMAL
recording_listing = dir([af_path filesep '*step1.mat']);
rec_all_list = [rec_all_list;r... |
50cdcb38e4f4c8e8f58baf2aff4cfc4d012147c3c4c1fd5595ca3135e28957fa | MATLAB | 1,045 | 28 | function tmass_stats = mri_tmass_stats(p)
% Performs permutation-based cluster t-mass analysis to determine clusters
% of subsequent time points with above-chance reconstruction accuracy based
% on t-tests. First, permutation results are loaded for all subejcts.
% Chance-level is removed (to allow testing against 0) a... |
ddfafc315244b2e0e1a30aa91391fc485ab86ae8fb133f3a49714c19d4fe3357 | MATLAB | 1,046 | 39 | clear
[task_info,supPath] = loadDBAndSpecifyDataPaths('Vermis');
PROBABILITIES = [25,75];
req_params.grade = 7;
req_params.ID = 5287;
req_params.remove_question_marks = 1;
req_params.num_trials = 10;
req_params.remove_repeats = false;
req_params.task = 'pursuit_8_dir_75and25';
raster_params.time_before = 399;
raste... |
80b166972e39a5bdc877a2e398423295c62014c5bd6f1477af7d73cd4f86547c | MATLAB | 1,047 | 29 | function [subj masknames] = union_masks(subj, newmask, varargin)
% UNION_MASKS - Unions one or more masks together.
%
% Usage:
%
% [SUBJ MASKNAMES] = UNION_MASKS(SUBJ, NEWMASK, REGEXP)
% [SUBJ MASKNAMES] = UNION_MASKS(SUBJ, NEWMASK, MASK1, MASK2, ...)
%
% This is a wrapper to COMBINE_MASKS with FUNC = @(A,B) A ... |
dc6c0ca94e6eb6b0b099a68dfae3ece1f7a427ae84ec413f0e8c0beff4deb48d | MATLAB | 1,049 | 40 | function drawSlideStatus(im,FM)
% Helper function to draw status on figure
% Inputs: im - flourecense image, FM - Flourecense Microscope Json file
L = get(gca,{'xlim','ylim'}); % Get axes limits.
imagesc(im);
axis equal;
axis off;
colormap gray;
if (sum(L{1} == [0 1]) + sum(L{2} == [0 1]) == 4)
%This... |
6a2b08081611889d3090708d2645734cac0e51f49269de77a89aeafd6e099ef0 | MATLAB | 1,050 | 23 | function [h_MLE_unc, f_info] = compute_h_unc(h_val, J_i, eta_val, eps_val, T)
% Estimates the SE of the MLE for h at this value of epsilon, phi, and J,
% Also returns the Fisher information (f_info = 1/sigma^2)
% Computed from the second derivative w.r.t. h of the likelihood, which is
% -1/sigma^2, the uncertainty aro... |
2b120a914dd8b6c0f1b0ad1853230a1a4dd78517e4c99e59a6818eff63ad093f | MATLAB | 1,051 | 28 | function tracedata=load_raw_MF_data_to_LBV(fname)
Data = fileread(fname);
Data = strrep(Data, ',', '.');
cr=regexp(Data,'[\r]');
Dataarr=str2num(Data(cr(1):end));
datasize=str2num(Data(10:cr(1)));
x=reshape(Dataarr(:,1),datasize(2),datasize(1));
y=reshape(Dataarr(:,2),datasize(2),datasize(1));
Lx=reshape(Dataar... |
a8bfdb7a8edf4536b8267833d3f3e0b04286381cb8b77b9a28acab013010d82d | MATLAB | 1,051 | 46 | function [h,B,mu,p,kappa] = HeadDirectionField(tsa,ang,GoodRanges,varargin)
% USAGE
% [h,d,mu,p,kappa] = HeadDirectionField(tsa,ang,GoodRanges)
%
% Inputs:
% tsa: a ts object (typically a cell!)
% ang: a tsd object of head orientation
% GoodRanges: an intervalSet object defining the time of va... |
e9083f7acf0c7508e54625efd3c5a54a9774a9cb59e215f2d776d5b99b89ef11 | MATLAB | 1,051 | 45 | function [q1, q2] = idealf(x, dim)
% IDEALF computes the 'ideal fourths' according to Wilcox paragraph 3.12.5,
% accounting for nans
%
% Use as
% [q1, q2] = idealf(x, dim)
%
% Input arguments:
% x = matrix containing the data
% dim = dimension along which to operate, if not specified the first
% non-si... |
20640ff19d5470595388af3d6de77a7ba63bde5f273e710335b183fe661a49c3 | MATLAB | 1,052 | 50 | function [stats]=calc_Cramer_vM(performance,id)
stim={'Trans','Brown','White'};
coh_str=({'100','50','25','12.5','0'});
% allocate
stats.cramer_vM=cell(3,5);
%
for stim_=1:length(stim)
ids=id.st_id==stim_;%get subjects matching the current stimulus type
cur_s=find(ids);
for coh_=1:size(id.coh,2)... |
0959516d01c52a04bef0192af209aa7bb7ab52184ff9dc599827996481ae3160 | MATLAB | 1,053 | 42 | function [cmds, errs, msgs] = gitSubmodulesClone(repo, preview, options)
cmds = {};
if ~exist('repo','var') || isempty(repo)
repo = [pwd, '/'];
end
if ~exist('preview','var')
preview = false;
end
if ~exist('options','var')
options = 'init';
end
repoFull = filesepStandard_startup(repo,'full');
ii = 1;
su... |
9b0c1541512c443877e574fcb4b6f28476f6b9eb101b281901d2b2db8f6f97c6 | MATLAB | 1,053 | 17 | function tf = isHistologyToOCTTMakeSense(histologyToOCTT,OCTImageSize, HistologyImageSize)
% This function will try to figure out if OCT image is somewhere in
% histolgoy image, i.e. does it make sense?
% OCTImageSize, HistologyImageSize are size(y), size(x)
% Is any of the corners of OCT inside of the histology ... |
586720c5f88b0220167cd4945e0d0824c50dccc52108eb37dcce221a88b9c1d7 | MATLAB | 1,054 | 42 | function str = read_str(fid)
% str = read_str(fid)
%
% :description
%
% A utility function that reads a C string from a binary file.
%
% :inputs
%
% fid file id of file already opened for reading
%
% :outputs
%
% str string of chars returned
%
% :history
%
% 2004.04.16 Ben Singer Edited slightly a ... |
37dd7e2a1648ecb94e6feee7009ab1cde225d6770ecdcbff32b0d3cf89a0599e | MATLAB | 1,056 | 48 | %% 25-6-17: steady state SINGLE pool
function [Mss] = ssSSFP(alpha, TR, dw, T1, T2)
R1 = 1/T1;
R2 = 1/T2;
%%% Full system matrix - same notation as CX version
E = diag([-R2 -R2 -R1]);
W = diag([-1i*dw 1i*dw 0]);
A = E + W;
eA = expm(A*TR);
C = [0 0 R1].';
% Assume RF is rotation around x-axis. Phase doesn't matte... |
916578a6da5677cef44ed5e5281fe62d8e1a0f8d0d29a3d347b7fc68efe17c90 | MATLAB | 1,056 | 44 | function leadfield = makesourcemodel_3dgrid(resolution)
if nargin==0
resolution = 8;
end
load mri
seg = removefields(mri, {'anatomy' 'inside'});
seg.brain = seg.mask; clear mri;
seg = rmfield(seg, 'mask');
cfg = [];
cfg.resolution = resolution;
cfg.unit = 'mm';
cfg.mri = seg;
%cfg.smooth = 'no';
s... |
c04e49eb34176b36c99dd977cae0bdcdc74cbf52d8b4a15e8e26a202ef0cbe39 | MATLAB | 1,056 | 29 | function msBatchAlignBetweenSessions(dirName)
%MSBATCHALIGNBETWEENSESSIONS Summary of this function goes here
% Detailed explanation goes here
dataFolders = msBatchFindDataFolders(dirName,[]);
refFolderNum = ceil(length(dataFolders)/2);
currentFolder = dataFolders{refFolderNum};
temp = load([cur... |
940280afd8b5ede8f077a934934a49f4accc93eb1570aad0fd37f601fbce3dee | MATLAB | 1,058 | 40 | function ende=findend(indicator,time,start)
% generic funcion to find the end in a trace
% SYNOPSIS
% function start=findend(indicator,time,start)
% DESCRIPTION
% indicator: a logical vector if the measurement is above threshold or not.
% time number of times, that the indicator has to be below threshold, ... |
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