sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
5829da46df8e6626ef03988af996956d68e11cff205f4a9228814c82a2337db0 | MATLAB | 1,985 | 72 | %% PCA Yeast Demo
% The microarray data for this example is from DeRisi, JL, Iyer, VR, and
% Brown, PO.; "Exploring the metabolic and genetic control of gene
% expression on a genomic scale"; Science, 1997, Oct 24;278(5338):680-6,
% PMID: 9381177. The authors used DNA microarrays to study temporal gene
% expression of ... |
894254d634f3caac153864c107efaba3aed5e1ef243518778f1acdf72e2133c1 | MATLAB | 1,985 | 82 | function CBIG_MFMem_rfMRI_run_1000_simulation_trainingGrp_resHigh(save_dir_input)
%--------------------------------------------------------------------------
% CBIG_MFMem_rfMRI_run_1000_simulation_trainingGrp_resHigh()
%
% Input parameters:
% save_dir_input: Output file directory
%
% This function will run 1000 ... |
e3b24f664853e13743854aedb64ecc9066189b249538d43a9cca189db37ebbf8 | MATLAB | 1,985 | 61 | function bnd = read_asa_bnd(fn)
% READ_ASA_BND reads an ASA boundary triangulation file
% converting the units of the vertices to mm
% Copyright (C) 2002, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the documentation and details.
%
% FieldTrip is free software: y... |
eaa37fa728653efa319f04be3ad9f69ff68f9449cf2d2dd2be457a5e4f9c95c3 | MATLAB | 1,985 | 67 | %% autocov_to_cpsd
%
% Calculate cross-power spectral density from autocovariance sequence
%
% <matlab:open('autocov_to_cpsd.m') code>
%
%% Syntax
%
% [S,fres] = autocov_to_cpsd(G,fres)
%
%% Arguments
%
% See also <mvgchelp.html#4 Common variable names and data structures>.
%
% _input_
%
% G autocovari... |
728113a0f6fbb13aa58c3bea5b42aff343b79b021b7fe929ea4dc5c14bb6ccc5 | MATLAB | 1,986 | 68 | function [J,grad] = costFunction(theta, X, y, lambda)
%COSTFUNCTION Compute cost and gradient for logistic regression
% J = COSTFUNCTION(theta, X, y) computes the cost of using theta as the
% parameter for logistic regression and the gradient of the cost
% w.r.t. to the parameters.
% from : https://github.com/m... |
d7164c5317e028f109b7e737260e2a733abc88029666b3efe6d7b35343283c51 | MATLAB | 1,986 | 62 | %% covariance matrix shrinkage Demo
%
%%
% This file is from pmtk3.googlecode.com
setSeed(0);
d = 50;
%Sigma = randpd(d);
condnumber = 10; a = randn(d,1);
[Sigma] = covcond(condnumber,a); % create matrix with specified condnum
evalsTrue = sort(eig(Sigma),'descend');
mu = zeros(1,d);
f = [2 1 1/2]; % fraction of d
con... |
d828d7813c865f57d81f51e6da7b24825439cfd18655abf018a2def98516d4ba | MATLAB | 1,987 | 72 | function PlotEventData(trodeFile, t0, timeWin, varargin)
fig = [];
titleBase = '';
returnData = false;
makePlot = true;
dataType = 'int16';
hsdInfo = dir(trodeFile);
hsdHeader = getHsdHeader_ver4( trodeFile );
Fs = hsdHeader.sampling_rate;
dataOffset = hsdHeader.dataOffset;
numWires = hsdHeader.num_chan... |
75eac55a00efc825549776052be307b021b3e31a9cda59ffa92bbb6e7eda2614 | MATLAB | 1,988 | 53 | function confMatrixShow( CM, types, pvPairs, nDigits, showCnts )
% Used to display a confusion matrix.
%
% See confMatrix for general format and info on confusion matricies. This
% function normalizes the CM before displaying, hence all values range in
% [0,1] and rows sum to 1.
%
% USAGE
% confMatrixShow( CM, [types]... |
a189a5453a56628c179fd5f1c12679df91dcb31926aa4931104ee5100547480e | MATLAB | 1,988 | 50 | function mscmd_detect(timeseries_path,detect_out_path,opts)
%MSCMD_DETECT - Detect super-threshold events in a raw/preprocessed dataset
%
%This is a wrapper to a command-line call to mountainsort. The
%functionality is similar to that of ms_detect.
%
% Syntax: mscmd_detect(input_path,output_path,opts)
%
% Inputs:
% ... |
7f941c813d8e7cb6d61ea7521a2ee78960fd88c72ab6cb4857f685c49ef3b64b | MATLAB | 1,989 | 63 | function [Samp, Sph, EjeX, EjeF] = spectrogram_hilbert_lan( SIG, FE, FRANGE, TRANGE)
% [Rho, Phi, EjeX, EjeF] = spectrogram_hilbert_lan( SIG, FE, FRANGE, TRANGE, WinSig, ResHz, step)
% uses a hibert transform to compute the amplitud and phase values, of a matrix of signals 'SIG'.
% The smaller dimension of 'SIG' is c... |
c908e02e363bc3112b77cf5014b75d488cd3e318a2703ac175759ce849629bb1 | MATLAB | 1,990 | 64 | function [pi h] = fdr2(p, q);
% FDR false discovery rate
%
% Use as
% h = fdr(p, q)
%
% This implements
% Genovese CR, Lazar NA, Nichols T.
% Thresholding of statistical maps in functional neuroimaging using the false discovery rate.
% Neuroimage. 2002 Apr;15(4):870-8.
% Copyright (C) 2005, Robert Oostenveld
... |
a2de66b0cfbb6e54521033cce5a9a49c727e21d5b95dd8f9a9ee97adfa80b944 | MATLAB | 1,991 | 60 | function fxt = triRMSmov(xt, nPoints)
% Hybrid Triangular-weighted RMS Filter
%
% Define a window +/- nPoints/2 the reference point. Square all values
% within the window, and weight these via a triangular weighting vector,
% with a peak on the original time value. Take the root of the mean of the
% weighted-squares. ... |
578117f5a551ac075d316e0b28c9017c2270326efa510d64c70565ecb8711af9 | MATLAB | 1,992 | 81 | classdef SparseLabelArray
% size % size() of array
% type % Either 'nan', 'ts', or 'log'. Corresponding base element: nan,
% % -inf, false
% idx % [nval] linear indices
% val % [nval] values at idx. In case of type=='log' this is a scalar
methods (Static)
function s = create(x,ty)
... |
6a927e9b02bc70ac0e3da0d42ba89b332d3646352971c671af513f837935db38 | MATLAB | 1,992 | 49 | % NonRigidReg_MasterScript
% Basic workflow for general projects in lab
% Pre-1st-script image processing
% (1) Prepare the pre and post image, run TurboReg on ImageJ (post to pre;
% "scaled rotation" mode) to rigidly register the images.
% (2) Output file is a 2-channel image. Remove the 2nd channel.
% (3) Use "Merg... |
bcb934e10ba98bfa5cd493c82d6763c2ae63bc7cf403f45ea1c80d88dab441ec | MATLAB | 1,992 | 56 | function [tm,D2]=momftfr(tfr,tmin,tmax,time);
%MOMFTFR Frequency moments of a time-frequency representation.
% [TM,D2]=MOMFTFR(TFR,TMIN,TMAX,TIME) computes the frequeny
% moments of a time-frequency representation.
%
% TFR : time-frequency representation ([Nrow,Ncol]size(TFR)).
% TMIN : smallest column element ... |
fffd8af3ded4961855a20dd9b847621a66a6cb19aea792cfd2d6cbde9d572cda | MATLAB | 1,992 | 30 | clear;clc;close all
ROOTPATH = strcat(NoveltySU.utils.getRootDirPath(mfilename("fullpath"), 4), "Data\Processed Data\");
cd(NoveltySU.utils.getRootDirPath(mfilename("fullpath"), 2))
protStr = "Active duration";
temp = NoveltySU.utils.dirItem(strcat(ROOTPATH, protStr), "spkData.mat");
popRes_behav = cell2mat(cellfu... |
44235cb99733507409a91546af252a18542d39767bc0f87842a00d7197099ee1 | MATLAB | 1,993 | 65 | function [alignedImage] = alignImages(refImage,targetImage,nSelections)
%% >>> OPERATION >>>
% Align target image to reference image based on left click selection. If
% target image is a movie (3d array), the mean across the 3rd dimension
% (time) is taken.
% >>> INPUTS >>>
% NAME TYPE, DEFAULT DES... |
480b8f61e1fde314a8f3e7b805f5f74dcc1d7f1e01a9f0f2a33b32135961100c | MATLAB | 1,993 | 74 | function meg_Fig4d_ITPCbyITI_slopes_bar
% function meg_Fig4d_ITPCbyITI_slopes_bar
% load groupITPC_ITI
% and run kt_ITPCbyITI for the model fits by jitter
%% Load data
load('figData/ITPC_byITI.mat')
%% Settings
plotSubjects = 0;
saveFigs = 1;
annotateStats = 1;
figFormat = 'svg';
% Figure directory
[figDir,dat... |
092cdf922a30403c4d4b1142dbcffe4a717978615025134940be6392ee112db0 | MATLAB | 1,994 | 59 | %% get_pxt_core
% For use within the SDO Analysis Toolkit.
% Direct kernel method for getting state probability distributions;
% --> preprocessed data from getting the distributions from state;
%
% Should be effective for the 'multicomp' variant of the getPxt Script
% Copyright (C) 2023 Trevor S. Smith
% ... |
788c5786db75c9a33efc956196ea7dd1de2411ff15e544b060f0163cb5de2656 | MATLAB | 1,994 | 70 | % AUTHORSHIP
% Primary Developer: Stephen Meehan <swmeehan@stanford.edu>
% Math Lead & Secondary Developer: Connor Meehan <connor.gw.meehan@gmail.com>
% Bioinformatics Lead: Wayne Moore <wmoore@stanford.edu>
% Provided by the Herzenberg Lab at Stanford University
% License: BSD 3 clause
%
classdef Suh... |
f4d32338825cc17002b8b5df72267d70b464f70675e826f0f6efe08460dfbb44 | MATLAB | 1,994 | 74 | %% RSA EEG-behavior script for:
%% The transformation of sensory to perceptual braille letter representations
%% in the visually deprived brain
% Marleen Haupt and Monika Graumann
% 22.02.2024
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% RDMs are located in output folder
% (as a default setting or ... |
813ef516472cc9ce5c87b477e7f692da06f26aefcceef056c28b3bd12d9e121f | MATLAB | 1,995 | 73 | function newwave = wlStats_makePhaseShuffledWave( oldwave )
% function newwave = wlStats_makePhaseShuffledWave( oldwave )
%
% This scrambles the phases of all components of a wave, smearing out
% position-related information while keeping the power spectrum the same.
%
% This is intended to be used for surrogate testi... |
01d8f96578ab6ad41271a0818f6128dd965406a1bef02f5b66b383b109a1a74b | MATLAB | 1,996 | 64 | function [classes, names, cmap] = annot2classes(lh_annot, rh_annot, hemi_split)
% converts the labels in a freesurfer annotation file into a vector
% where the classes correspond to the order in the color look up table
%
% input:
% lh_annot filename of left annotation file
% rh_annot filename of righ... |
37df8cebb6625dbb8d0809003d5c660617b7e07178625ae2ced7defcfee8bb8c | MATLAB | 1,996 | 58 | %% Fit a Gaussian Mixture Model using over-relaxed EM
% We use synthetic data sampled from a GMM
% PMTKauthor Krishna Nand Keshava Murthy
%%
% This file is from pmtk3.googlecode.com
ntrials = 2;
for trial = 1:ntrials
setSeed(trial);
D = 15; N = 5000;
Clusters = 10;
mu = rand(D,Clusters);
mixweight... |
3931462ca671ca247f1a657365a723d8aaf056914db9a171affc4a5b42bafec0 | MATLAB | 1,997 | 62 | function [lf] = eeg_infinite_monopole(rd, elc, vol)
% EEG_HALFSPACE_MONOPOLE calculate the halfspace medium leadfield
% on positions pnt for a monopole at position rd and conductivity cond
% The halfspace solution requires a plane dividing a conductive zone of
% conductivity cond, from a non coductive zone (cond = 0)
... |
dc36faffc1952d807ca400c58dd0c95437b1157b6fcd167efe043fab216fa0cf | MATLAB | 1,997 | 65 | %% mvgc_cval
%
% Critical values for sample MVGC based on theoretical asymptotic null distribution
%
% <matlab:open('mvgc_cval.m') code>
%
%% Syntax
%
% x = mvgc_cval(alpha,p,m,N,nx,ny,nz,tstat)
%
%% Arguments
%
% See also <mvgchelp.html#4 Common variable names and data structures>.
%
% _input_
%
% alpha v... |
1064d0eca26a71d0d4eb760720b6d4436da57cbc3bf173b50d99e9fcb6ac667e | MATLAB | 1,998 | 55 | function [maxIntensity, sliderSteps] = h_getMaxIntensity3(handles)
global h_img3;
% find the maximum intensity setting for both h_imstack2 and h_imstack2a as specified in handles.
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
if isfield(currentStruct.image.data, 'maxIntens... |
840d0702c91d546dabd7b41b3c0f784419d82f2f4f49e113167bdb38abc14de2 | MATLAB | 1,998 | 70 | %% Reproduce fig 4.11 of "Elements of statistical learning" 2e
%
%%
% This file is from pmtk3.googlecode.com
loadData('vowelTrain'); % from http://www-stat.stanford.edu/~tibs/ElemStatLearn/datasets/vowel.train
[N,D] = size(Xtrain);
C = max(ytrain);
% PCA projection to 2d
[B,Z] = pcaPmtk(Xtrain, 2);
muC = zeros(C,D);... |
9d61f3b72dcacb6124d0b7a697e4f4c7195b6e1905eca03c2d207a332a4a1ca4 | MATLAB | 1,998 | 39 | function [devianceResiduals,deviance,samples_deviance,samples_devianceResiduals] = getDeviance(result,Nsamples)
%function [devianceResiduals,deviance,samples_deviance,samples_devianceResiduals] = getDeviance(result,Nsamples)
% This function calculates the observed deviance from the model.
%
% If you ask for more than ... |
e137234da41082b55c565a395a6eafc7bd1fa653113daaba3361c4cbea395229 | MATLAB | 1,998 | 57 | function plot_epochs(params,EEG)
% Recording IDs
s_ids = cellfun(@(x) regexp(x,'.*(?=_eeg.set)','match','lineanchors'),{EEG.filename});
nEpochs = cellfun(@length,{EEG.epoch});
% Plot in batches of x recordings
x = 30;
nRec = length(EEG);
nBatches = ceil(nRec/x);
clear EEG;
for iBatch=1:nBatches
% Subset of ... |
5a4df884fd21f81a690ae76c3c53b94bbd23eedd073c4cdd7ff0d05b48a9b6e0 | MATLAB | 1,999 | 75 | classdef ShellLiteral < apt.ShellToken
% apt.ShellLiteral - String literal token for shell commands
%
% Represents a literal string token in a shell command that doesn't
% require path translation or locale conversion.
properties
value % char array containing the literal string
end
methods
... |
9bdf2991f63c39680a5190e709ccdfeced57371c24aaef356a8f607cbb0c5006 | MATLAB | 1,999 | 75 | %% plot_spw
%
% Plot spectral pairwise quantities on a grid
%
% <matlab:open('plot_spw.m') code>
%
%% Syntax
%
% plot_spw(P,fs)
%
%% Arguments
%
% _input_
%
% P matrix of spectral pairwise quantities
% fs sample rate in Hz (default: normalised freq as per routine 'sfreqs')
% frange ... |
e3485732d542b3bee00771a68599ed73a1d62f7050a11abddff2d1872ff7565d | MATLAB | 1,999 | 57 | function ccg_output = analyze_ccgs(data)
% INPUT:
% data: trials x time x cells
%flag.start_time_index = find(tc>500,1,'first');
%flag.end_time_index = find(tc<1400,1,'last'); %1400
flag.jit_window = 25;
flag.min_lag = -100;
flag.max_lag = 100;
% convert spike train to 'has at least 1 spike in bin'
data.spiketrain... |
a889447ee2c736b52d648cf99ee521a9f0462d25267337a77c72a68ff964905e | MATLAB | 2,000 | 76 | %% Gauss Imputation Demo
%
%%
% This file is from pmtk3.googlecode.com
function gaussImputationDemoOld()
setSeed(0);
d = 10;
mu = randn(d,1); Sigma = randpd(d);
pcMissing = 0.5;
% Training data is larger than test data, and is missing data at random
[XfullTrain, XmissTrain] = mkData(mu, Sigma, 100, true, pcMissing)... |
cd6e8ae194ab6ddc175d8f143ebfe96237218716fd18580e307adff9b58d713a | MATLAB | 2,001 | 63 |
loadParameters;
INPUT_DIRECTORY = params.deconvolutionImagesDir;
OUTPUT_DIRECTORY = params.colorCorrectionImagesDir;
files = dir(fullfile(INPUT_DIRECTORY,'*.tif'));
chanmap = {'ch00','ch01','ch02','ch03'};
EXPERIMENT_NAME = params.FILE_BASENAME;
% sample pattern
% N-4_P_ will be round 0
% N-3_P_ will be round 1
% ... |
b39b5b022e8d2cb24ec6f88f6c53f7cf607ee3e44c03d97aff9fe857379fc261 | MATLAB | 2,002 | 62 | function [converted] = convertEnc2Cm(data,velocityFlag, radius, stack_number)
% Reads in .log file (give path as string), separates file into trials
% then returns a structure with the fields, trialNum, position, velocity
% and time, where position has been converted to cm.
% Conversion formula is dista... |
e32032e0142b5cdd2a6225074cd4f5260117b8086950ba0b5c28d4c0767eeba3 | MATLAB | 2,002 | 66 | %% Plot CV error vs error vs gamma and C for an SVM, plus 1d slices
% Similar to Figure 12.6 in "The elements of statistical learning" 2e
% by Hastie, Tibshirani, Friedman,
% We also show the 2D % surface similar to figure 7 in
% http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf.
% PMTKslow
%%
%% Load Data
% T... |
e9991a1d1dfa3db5d3d5321ba54687f21aeee3b937857ec4766bce0b43c9017b | MATLAB | 2,002 | 72 | function [ ] = ecog_topo_plot(topo_param,topo_vector)
cmapstruct = topo_param.cmapstruct;
cortex = topo_param.cortex;
tala = topo_param.tala;
viewstruct = topo_param.viewstruct;
ix = topo_param.ix;
n_ch = length(tala.electrodes);
right_hemi = topo_param.right_hemi;
topo_param.tala.activations = topo_vector;
... |
04ceb3d4651d0fdce3dd6c4f861644f91464309a679f744ab0d46731df326862 | MATLAB | 2,003 | 59 | function contrast_meta_batch(stud_dir, subj_file, GLM_name, con_vec, con_img)
% _
% Contrast meta batch for analysis of the FADE data set
% stud_dir - study directory in data/analyses are located
% subj_file - an XLS file containing subject IDs and covariates
% GLM_name - a string indicating the GLM of in... |
c6834ee1b68479c3c45ab7a12b9ed80dbb16872b9b7c72bff6590d270e4b1f2f | MATLAB | 2,003 | 61 | function bnd = read_asa_bnd(fn)
% READ_ASA_BND reads an ASA boundary triangulation file
% converting the units of the vertices to mm
% Copyright (C) 2002, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the documentation and details.
%
% FieldTrip is free software: y... |
02370f3c2d221f04593d9f0a6cb5e5abc948744989fede47aeed93563d28d79e | MATLAB | 2,004 | 49 | function[slope,intercept] = subsamplingMMD(datasource,datatarget,indexsource,indextarget,itertime)
%% Inputs: datasource and datatarget are related to the one dimension measurement of interest; indexsource and indextarget give the subgroup index, which need to have same range; itertime provides iteration times 'B' for ... |
29f619c599c37fe4d8c9abcdb1627fdb754e616b57b0184932cca88ff4275427 | MATLAB | 2,004 | 45 | function VertConn = tess_vertconn_bs(Vertices, Faces)
% TESS_VERTCONN: Computes vertices connectivity.
%
% INPUT:
% - Vertices : Mx3 double matrix
% - Faces : Nx3 double matrix
% OUTPUT:
% - VertConn: Connectivity sparse matrix with dimension nVertices x nVertices.
% It has 1 at (i,j)... |
4de78a23b84b842cb0eefb6e103408e39be4f6e188b4f1068803926b22b16e31 | MATLAB | 2,004 | 89 | % this function does the actual heavy lifting in
% training the NN. meant to be run on a b/g worker
function NNtrainOnParallelWorker(network_data)
arguments
network_data (1,1) struct
end
X = network_data.X;
Y = network_data.Y;
% split into training and validation
R = rand(size(X,2),1)>.5;
X_train = X(:,R);... |
3b85d49c9c7d0d36c1a87c00df8973db45aefd00fd895c8b0af06d7b16d36234 | MATLAB | 2,005 | 41 | clear all
%%
%Define Parameters
[opt] = ParameterOptions();
%%
%Define Parameters for Oscillating gradients - Consistent with Aggarwal et al.
opt.nOscillations=3; % Number of oscillations per TR
opt.Waveform='Sine'; % Type of Oscillating Gradient. Choose from Rect (conventional rectangular gradient), Rect_Sym (sy... |
3d5380aad02c86efcaa24482e7dec578fc9f54d54c7c8f4b2e355949e83e425c | MATLAB | 2,005 | 53 | function [fx] = f_VBvolatile0(x,P,u,in)
% computes Laplace-VB update rule of HGF learner
% [fx] = f_VBvolatile0(x,P,u,in)
% This is the one-step Markovian update rule for the posterior sufficient
% statistics of a volatile environment, as derived in [Mathys et al. 2010].
% Note: HGF stands for "Hierarchical Gaussian Fi... |
439e810f056872968d1177bafb116471cc658c46f3235acb6fcdd8895be524b1 | MATLAB | 2,005 | 48 | % The binning-tool serves to compute histograms (1D) and conditional
% expectations. The label on the x-axis is binned, various properties
% such as point count per bin (histogram), the mean of another label
% (regression 1Var->1Var), means of 2 other
% variables (regression 1Var->2Var), can... |
4f60c8465b56e8a8751c87dc7ddb790d0a5572822f3c1818373f09d71729e376 | MATLAB | 2,006 | 70 | function [drNdrTdrNdr] = get_drNdrTdrNdr(M,nt,dt,par,x)
%% Created by Xinan Chen in Nov 2021
%% This function returns (d(rho(:,end))/d(r))^T * d(rho(:,end))/d(r) * a vector x
% x... vector length(prod(n)*nt,1)
% rho(:,0) -----------> rho(:,1) --------------> rho(:,2)
% u(:,1) u(:,2)
%... |
5b640fa5d16d63daef07bc76944ffedbc49baa0f9be3707f9dfdd13bbbfdd455 | MATLAB | 2,006 | 58 | % ListStacks.m
% 9/8/21
% Sarah West
% Takes a vector of numbers and returns them as character strings in the
% format of the stack number name the user uses.
function [stackList]=ListStacks(numberVector, digitNumber)
% Inputs:
% number_vector-- a vector of integers corrsponding to the stack numbers
% the user want... |
f085b1c52bc52c42574740ebb273f4f2256930b5f589df7296ed433ea3d16bc6 | MATLAB | 2,006 | 41 | function [fitted_art, post_idx_nextPeak] = fit_ecgTemplate(cnt, pca_template, ch, aPeak_idx, peak_range, pre_range, post_range, baseline_range, midP, fitted_art, post_idx_previousPeak, n_samples_fit)
% select window of template
template = double( pca_template( midP-peak_range : midP+peak_range, : ) );
% select window... |
1ae6b71e59e9fa769bbd5a49a19338b18b828ff093e72b128e99eaf94273611a | MATLAB | 2,007 | 85 | function [res, count] = fiff_transform_eeg_chs(chs,trans)
%
% [res, count] = fiff_transform_eeg_chs(chs,trans)
%
% Move to another coordinate system in EEG channel channel info
% Count gives the number of channels transformed
%
% NOTE: Only the eeg_loc field is modified by this routine, not
% loc which remains to refle... |
382e60962e597721ea6f66884721352ac2ec238b65a445d24f5101e91b7085ae | MATLAB | 2,007 | 64 | %% Convert EEGLAB files into Fieldtrip structure
% For Cluster-based permutation testing
% 2024 by Antonin Fourcade
function NVR_12_eeglab2fieldrip(cropstyle, mov_cond, path_data)
%% 1.Set Variables
%clc
%clear all
%1.1 Set different paths:
% input paths:
path_data_eeg = [path_data 'EEG/'];
path_in_eeg_LA = [path_dat... |
bc32d03dcbaf62a1acd5aed149444adba109fc40c5e74cf041fccaa6e942125c | MATLAB | 2,007 | 61 | function [Feven,Fodd] = filterGabor2d( r, sig, lam, theta, omega, show )
% Creates an even/odd pair of 2D Gabor filters.
%
% Creates a pair of Gabor filters (one odd one even) at the specified
% orientation. For Thomas' ECCV98 filters, use sig=sqrt(2), lam=4. Note
% that originally this function computed a quadratic m... |
f6192f0bf21b13111cfd8732eb53cd2460269279fba04c3122bcb9b82464f6f1 | MATLAB | 2,008 | 60 | function [bouts, lens] = detect_binarybouts_v2(binary_vector)
% DETECT_BINARYBOUTS serves to detect the start and end indices of binary events from vectors of zeros
% and ones as well as calculate the lens of these events. Importantly, it
% corrects for any spurious additional t_starts and t_ends that correspond
% ... |
33eaf5e7bb2df9322772a75f4ab44ee421146ff3a72a1f344c4b67adb5fa51f4 | MATLAB | 2,009 | 75 | function View_ROI_Modules(IM,Anat,ROIxyz,params)
%
% This function generates a plot of ROI Sortings for
% various kden, scanning through the kden chosen.
%% Set up paramters
Modules=IM.key(:,2);
Cmap=IM.cMap;
ROI.Nfaces=50;
Nroi=size(Modules,1);
Params.Cmap=Cmap;
Params.Scale=length(Cmap);Params.OL=1;Para... |
dbf32b17b3f2313ce29323b31c626d1a5b028007e9c9625d106d5b34a62540eb | MATLAB | 2,009 | 52 | classdef TrackFPS
methods (Static)
function [t_predinnr, t_predothr, t_read_tot, t_overothr] = ...
computeTimes(t_over, t_read, t_pred, t_pred_inner)
% Inputs
% t_over: (scalar) overall time
% t_read: (array of ngt) read times, per im. first typically way long
% t_pred: (ar... |
0c82f114ca61ad4ec915ffc28deb9d82df21207f8c3f46b38d4307a277ba8af6 | MATLAB | 2,010 | 88 | % [y,npadl,npadu] = padgrab(x,padv,l1,u1,l2,u2,...)
%function [y,npadl,npadu] = padgrab(x,padv,varargin)
%BJA: hard-coded for 6 args to get rid of slow varargin cell array and slow padarray()
function [y,npadl,npadu] = padgrab2(x,padv,l1,u1,l2,u2)
% parse arguments
usagestring = 'Usage: padgrab2(x,padv,l1,u1,l2,u2,...... |
141963569f57594a585cdd8b95b82dd159de58805d2c0cacc2f747bb4f90a2e0 | MATLAB | 2,010 | 72 | function Y = clfLdaFwd( clf, X )
% Apply the Linear Discriminant Analysis (LDA) classifier to data X.
%
% USAGE
% Y = clfLdaFwd( clf, X )
%
% INPUTS
% clf - trained model
% X - nxp data array
%
% OUTPUTS
% Y - nx1 vector of labels predicted according to the model
%
% EXAMPLE
%
% See also CLFLDA, CLF... |
2be419989af1b33abbb9e2dc6535dfcc803d147e26369a5b98933c6fb6c61e45 | MATLAB | 2,010 | 60 | %% Collapsing and scaling tensors
% The tensor and sptensor classes support that notion of collapsing and
% scaling dimensions.
%% Examples of collapsing a tensor
X = tenrand([4 3 2]) %<-- Generate some data.
%%
Y = collapse(X,[2 3]) %<-- Sum of entries in each mode-1 slice.
%%
Y = collapse(X,-1) %<-- Same as above.
%... |
bee66432b695836f663fc75ecb5eefbb52a547bb218b9a503d321217f0f6b736 | MATLAB | 2,010 | 56 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
%% SpinCCsep_01_prepro_1_automatic_Rpeakdetection
srmr_nr = 2;
ana_dir = '/data/pt_02151/';
cfg_path = [ana_dir 'analysis/manuscript_sep/scripts/cfg_srmr2/']; % here is important info for the analysis
% Add paths
addpath('/data/pt_02068/toolboxes/eeglab14_1_2b/')
addpath... |
dabecdb8fac4cb6399843ef941134b782d5a897e88fc22a01f5a051f0c5049c4 | MATLAB | 2,010 | 76 | function newevents = wlProc_calcEventSNRs(data, samprate, oldevents)
% function newevents = wlProc_calcEventSNRs(data, samprate, oldevents)
%
% This function calculates the approximate signal-to-noise ratios of a list
% of detected events. The event waveform is reconstructed from its extracted
% paramters, and the pow... |
ee6900a4b12b592b7171d4031880f7cba2368ecc1ddbc0d2388ea7cc7131d796 | MATLAB | 2,010 | 71 | function [drNdrTdrNdu] = get_drNdrTdrNdu(M,nt,dt,par,x)
%% Created by Xinan Chen in Nov 2021
%% This function returns (d(rho(:,end))/d(r))^T * d(rho(:,end))/d(u) * a vector x
% x... vector length(prod(n)*nt*dim,1)
% rho(:,0) -----------> rho(:,1) --------------> rho(:,2)
% u(:,1) u(:,... |
a198d659e892dd1d5e9979dd0efe99817f48ff149bb9e52c19b9d88a97b05e3c | MATLAB | 2,011 | 69 | function [drNduTdrNdr] = get_drNduTdrNdr(M,nt,dt,par,x)
%% Created by Xinan Chen in Nov 2021
%% This function returns (d(rho(:,end))/d(u))^T * d(rho(:,end))/d(r) * a vector x
% x... vector length(prod(n)*nt,1)
% rho(:,0) -----------> rho(:,1) --------------> rho(:,2)
% u(:,1) u(:,2)
%... |
ca8a25387a515ad2a67427b01de2d2f806a471249f153710801c456d066e7384 | MATLAB | 2,012 | 54 | classdef AdjMatrixFromFile < adjmatrix.AdjMatrix % handle makes this class being passed as reference instead of value
% creates adjacency matrix from the specified text file
properties (Access = protected)
FileName;
Delimiter;
NHeader;
end
methods
function this = Adj... |
946b3205d312c0fd1c2762ca0c7715119cb8d24bad7ac0f1dabe06aabd892a8d | MATLAB | 2,013 | 68 |
%% Global Default Options
GlobalOpts.Subject='p1';%'p1','p3';
GlobalOpts.TaskName='FaceScratch3'; % used for folders and file names
GlobalOpts.TaskFileName='FaceScratch3'; % To use with LoadConvertedData
% Analyses phases and windows for trial response and temporally resovled
% response (TR)
GlobalOpts.Pha... |
339367143de64f5b7b003c69d913eb4cbe1f7fbe67426b235ff7eaa81208966a | MATLAB | 2,014 | 68 | function [varargout] = ltrisect(varargin)
% LTRISECT intersects a line with a plane spanned by three vertices
%
% Use as
% [sect] = ltrisect(v1, v2, v3, l1, l2)
% where v1, v2 and v3 are three vertices spanning the plane, and l1 and l2
% are two points on the line
% Copyright (C) 2002-2009, Robert Oostenveld
%
% Th... |
436f6a31c515d26f9d470e40eba9618b49fd0206944e0a609165ea0a9c9c0b30 | MATLAB | 2,015 | 57 | function [dat] = read_bucn_nirsdata(filename, hdr, begsample, endsample, chanindx)
% READ_BUCN_NIRSDATA reads ASCII-formatted NIRS data acquired with the
% UCL-BIRKBECK machine and postprocessed by the Paris group. The first line
% contains the channel labels and the rest of the file contains per line a
% time sample.... |
52568658725441db6d58380ffb17335c013283266a4d3feff1088b34d3e9e3c7 | MATLAB | 2,015 | 41 | classdef CBIG_MSHBM_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');
... |
7f3b8a9d5298f028b91bea1a22d247d0883421ccfad82f0a3350854c51ac628a | MATLAB | 2,015 | 62 | %% Compares 3d Tracking output to non-tracking outputs
addpath ~bransonk/behavioranalysis/code/Jdetect/Jdetect/filehandling;
addpath ~bransonk/behavioranalysis/code/Jdetect/Jdetect/misc;
addpath /groups/branson/bransonlab/projects/flyHeadTracking/code/
addpath ~bransonk/tracking/code/Ctrax/matlab/netlab
infile = '~/... |
931e8b2a2233514ad580953b7421cd6bdea31d4dfa90a73e7e53b0a6ca21406d | MATLAB | 2,015 | 57 | function [obj] = internal_TL_analysis(...
BOLD_fMRI_unsmoothed_data, ...
BOLD_fMRI_Smoothed_data, ...
runMotionParameters, ...
FreeSurfer_segmentation_Atlas_path, ...
FreeSurfer_Thalamic_Segmentation, ...
participant_TL_task_log_path, ...
subjectID, ...
TR... |
00763f9bf48a25f246b052ec8b549a99c51dc87b614707457cc6bae5f66cefbb | MATLAB | 2,016 | 70 | function spkDat = AlignClusterMeans(spkDat, varargin)
[wL, nChan, ~] = size(spkDat.waves);
pk = spkDat.peakLoc;
wP = spkDat.wavePad;
wL = wL - 2*wP;
chanList = 1:nChan;
clustList = setdiff(unique(spkDat.id), 0);
shift = -8*spkDat.upsample : 8*spkDat.upsample;
if ~isempty(spkDat.alignWin)
win = spkDat.alignWin;
els... |
14a56a37aae15d2b74ecd8d564bfa73d421537e18ac1f3331c9256a8db36b955 | MATLAB | 2,017 | 95 | function [x,f,funEvals] = minConf_Sep(funObj1,funObj2,x,funProj,options)
if nargin < 5
options = [];
end
[verbose,optTol,maxIter,memory] = myProcessOptions(options,'verbose',1,'optTol',1e-6,'maxIter',500,'memory',10);
if verbose
fprintf('%10s %10s %10s %15s %15s\n','Iteration','FunEvals','Projections','Step Leng... |
79ee33667637446741cb49b354240cf377be30d70f3ee1161d31f03aed089ac8 | MATLAB | 2,017 | 46 | clear;
basefolder = fileparts(fileparts(fileparts(mfilename('fullpath'))));
codefolder = [basefolder,'/code'];
addpath(genpath(codefolder));
config1_path = [basefolder, '/tests/fixtures/config.json'];
config2_path = [basefolder, '/tests/fixtures/config2.json'];
config3_path = [basefolder, '/tests/fixtures/config3.jso... |
9f1895ce9254612d384ef70a52c3656ad65f69c7e2e638997f3aa911f162e77b | MATLAB | 2,017 | 57 | % SIGNIFICANT_SPAN identifies longest timespan that exceeds significance
% if one exists
% significantSpan.m
%
% Copyright 2008 Vanderbilt University. All rights reserved.
% John Haitas, Jeremiah Cohen, and Jeff Schall
%
% This file is part of JPSTH Toolbox.
%
% JPSTH Toolbox is free software: you can redistribute... |
c22d2a41032f03191ac225df4a93ab501b924f38dd3b13dbf2ec207606f6a091 | MATLAB | 2,017 | 84 | function [CC,CCmda]=ms_cross_correlograms(times,labels,max_dt)
%MS_CROSS_CORRELOGRAMS - The slow way to generate cross correlogram data.
%Better to use mscmd_cross_correlograms
%
%MountainView can be used to view cross-correlograms. It requires the
%cross-correlograms to be prepared with a particular format, provided i... |
df94a8665f8cc456905d0417dd5ec1feb78db4c0055ad96a4bc558ab94f6c130 | MATLAB | 2,017 | 52 | function [lineOut, fillOut] = stdshade(amatrix,alpha,acolor,F,smth)
% usage: stdshading(amatrix,alpha,acolor,F,smth)
% plot mean and sem/std coming from a matrix of data, at which each row is an
% observation. sem/std is shown as shading.
% - acolor defines the used color (default is red)
% - F assignes the used x axi... |
6dc3564c74c5620d6ed30c212fbc699ee442d0d286d8d25f789c752af908858d | MATLAB | 2,018 | 107 | %% Metropolis Hastings Logistic Regression Demo
% Example from Johnson and Albert p87
%
%%
% This file is from pmtk3.googlecode.com
function [X, y, ws] = logregSatMhDemo(doPlot)
if nargin < 1, doPlot = 1; end
[X,y] = satDataLoad;
model = logregBinaryFitL2IRLS(X, y, 1e-8, false);
w = model.w;
C = model.C;
% MH
set... |
753dfd8cec9c141576725027b711cdb21dfeeb7ddaa92063d89349af02912570 | MATLAB | 2,018 | 81 | % Demo for partially observable oscillatory system.
% This demo inverts a model of a linear oscillatory system, which is
% observed through a nonlinear sigmoid function.
clear variables
close all
% Choose basic settings for simulations
n_t = 2e2;
delta_t = 2e-1; % integration time step (Euler method)
f_fname ... |
b7d33ebb2c09e7b4fb90d912a132b9e84efb19dd097cb04b4d74d9d7d80dbb6e | MATLAB | 2,018 | 63 | %% Script for processing all tomograms in a directory with membflt
% Author: Antonio Martinez-Sanchez
%% Clear workspace
close all
clear all
%% Input/Output directories
din = '/fs/pool/pool-lucic2/antonio/tomograms/julio/t364';
dout = '/fs/pool/pool-lucic2/antonio/tomograms/julio/seg';
%% Input parameters
s = 10; %... |
d5b2cef949d281bd58e8837499502277f414493c758b258dcedfcf20a4263a17 | MATLAB | 2,018 | 82 | function [ha] = plotVolterra(hf,mw,vw)
nu = size(mw,2);
if nu==6
str={'choice=1 * feedback',...
'choice=0 * feedback',...
'opponent=1 * feedback',...
'opponent=0 * feedback',...
'choice=1 * [CST]',...
'opponent=1 * [CST]'};
n = nu/2+1;
for i=1:nu
h... |
e704feaca8d1dc49b618cf4dcf23b38bb8ee715ca20e2672bf2034a552571244 | MATLAB | 2,018 | 73 | %% Test of code/mapper/mapper.m
% Setup base path
clear;
basefolder = fileparts(fileparts(mfilename('fullpath')));
codefolder = [basefolder,'/code'];
toolsfolder = [basefolder,'/tests/tools'];
addpath(genpath(codefolder));
addpath(genpath(toolsfolder));
% Load Data
data = readNPY([basefolder, '/tests/fixtures/exampl... |
f836ece35716b676c0b9964e5f88c49b76e77c7990b2fabed352551b59570fe1 | MATLAB | 2,018 | 71 | function dt = AlignTest(spkDat, varargin)
% aligns the waveforms in each cluster to the average waveform for that
% cluster
spkDat.waves = double(spkDat.waves);
[wL, nChan, ~] = size(spkDat.waves);
chanList = 1:nChan;
clustList = setdiff(unique(spkDat.id), 0);
shift = [-0.2 0.2];
pk = spkDat.peakLoc;
wP = spkDat.wave... |
c5e6680f7151d9c25ff360c349a650aa87b430158c71f94eb905a42c43bab1ba | MATLAB | 2,019 | 41 | function generateAuthorReport()
%% Generate the html contributing author report
% PMTKneedsMatlab
% This file is from pmtk3.googlecode.com
dest = fullfile(pmtk3Root(), 'docs', 'authors');
outputFile = fullfile(dest, 'fileAuthors.html');
excludedAuthors = tokenize(getConfigValue('PMTKauthors'), ',');
... |
189833897e91026734591e6be05896194b2178b371650fe8579b01378dcd8aa8 | MATLAB | 2,020 | 68 | function [varargout] = ltrisect(varargin)
% LTRISECT intersects a line with a plane spanned by three vertices
%
% Use as
% [sect] = ltrisect(v1, v2, v3, l1, l2)
% where v1, v2 and v3 are three vertices spanning the plane, and l1 and l2
% are two points on the line
% Copyright (C) 2002-2009, Robert Oostenveld
%
% Th... |
9c67e5e9fc409cd6dc01a71949279e954f984377cbf74a6f6f9eb8a8744fc403 | MATLAB | 2,020 | 65 | %% Clear Current Location
datRoot = '/Volumes/LaCie/Farries recordings/';
rat = 'IM1261';
sesList = dir([datRoot rat '/20*']);
sesList = arrayfun(@(x) x.name, sesList, 'UniformOutput', false);
sorted = cellfun(@(s) exist([datRoot rat filesep s filesep 'unitDat.mat']), sesList) == 2;
behav = cellfun(@(s) exist([datRoot... |
b2d18d594f16e714ed76abbe2d79029deb1b1bcb4e793e6408ea17c5e5913c30 | MATLAB | 2,020 | 81 | function o = niftistruc
% Create a data structure describing NIFTI headers
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id$
persistent org;
if ~isempty(org),
o = org;
return;
end;
t = struct('conv',{ @char , @uint8 ... |
f142c9fa9797a409e25a061c1e9a7cdd0e538dcdc1b323deb830541562a1df70 | MATLAB | 2,020 | 54 | function [varargout] = iscolumn(varargin)
% ISCOLUMNN is a drop-in replacement for the same function that was
% introduced in MATLAB R2010b.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% see https://github.com/fieldtrip/fieldtrip/issues... |
5e3b4318662eaf07eab098bd8823a83a7a068d405dacdd1504f9b8cc349b9816 | MATLAB | 2,021 | 67 | function writenodelm_solidmesh_vtk(fn,e,p,soldata,nnpe)
% Writes a solid mesh defined in e and p to 'fn'
% 'soldata' is the nodal solution for every point in p:
% soldata{1} = Name of fields/solutions
% soldata{2} = a numnodes by d matrix where d is number of fields
% defined in soldata{1,:}
%
% Written by Hamid... |
071472e4bef62f9936408eb16a91928bfc149b0470e8865675c14f8ab25384e6 | MATLAB | 2,022 | 51 | % function MapMontage (Montage)
%
% This routine roughly maps the 2-D locations of an EEG montage (down view,
% nose on top, circle approximates Fpz-T7-Oz-T8 plane).
%
% Usage: MapMontage (Montage);
%
% Input argument: Montage cell structure returned by the CSD toolbox
% Ext... |
4b0830d1552192c810842c86c6e814284921e2022d318af3ef4e2909379b6b33 | MATLAB | 2,022 | 60 | function loc_list_save_png(data,map,c_lim)
path = uigetdir(pwd);
if path~=0
answer = inputdlg({'Pixel Size:','Resolution:'},'Input',[1 50],{'116','20'});
if isempty(answer)~=1
pixel_size = str2double(answer{1});
resolution = str2double(answer{2});
f=waitbar(0,'Saving Image...');
... |
b76cf8a9ffa7fbe3924577ce84756af5a2109834959bb64bb95801f7dd69f9d0 | MATLAB | 2,022 | 59 | function unit = ft_estimate_units(size)
% FT_ESTIMATE_UNITS tries to determine the units of a geometrical object by
% looking at its size and by relating this to the approximate size of the
% human head according to the following table:
% from 0.050 to 0.500 -> meter
% from 0.500 to 5.000 -> decimeter
% fr... |
298175bdd0a22d6dde4897139cad24a236241fbf6942afef3d9642c0defd56ce | MATLAB | 2,023 | 60 | function F = filmStrip( I, overlap, delta, border )
% Used to display R stacks of T images as a "filmstrip".
%
% See examples below to see what is meant by "filmstrip".
%
% USAGE
% F = filmStrip( I, overlap, delta, border )
%
% INPUTS
% I - MxNxTxR or MxNx1xTxR or MxNx3xTxR array
% (of bw or co... |
366f845a9373ff72744eda809e9ec5432de07cd04ac635c9c687891d6765e83b | MATLAB | 2,023 | 51 | function [Epri, Ppri] = bemf3_inc_field_electric_gauss(strdipolePplus, strdipolePminus, strdipolesig, strdipoleCurrent, P, t)
% Computes potential and electric field from the dipole distribution via the FMM
% on traingles using Gaussian quadrature(s)
%
% Copyright SNM 2018-2020
M = size(t, 1);
% Gaussi... |
aea7a6e459e97f8bed4b84ecc3f82c30b67742c8ce0cdbc733b4d311f49a66f7 | MATLAB | 2,023 | 45 | % compute_stats_PCA
inclPC2 = 100;
allExpl = nan(8, inclPC2);
for sess = 1 : 8
clear outPCA
suff = '_mean_stp50'; load(fullfile(saveLoc, ['pca' suff '_S' num2str(sess)]), 'outPCA');
numPCs(sess) = length(outPCA.explainedD);
nn = min(numPCs(sess), inclPC2);
allExpl(sess, 1 : nn) = outPCA.e... |
64b30b03df6e86011a014df51660096a339084a4dce49a86539216d0968573f0 | MATLAB | 2,024 | 66 | function y = VBA_nanvar(x,dim,flag)
% FORMAT: Y = VBA_NANVAR(X,DIM,FLAG)
%
% Variance ignoring NaNs
%
% This function enhances the functionality of NANVAR as distributed in
% the MATLAB Statistics Toolbox and is meant as a replacement (hence the
% identical name).
%
% NANVAR(X,DIM) calculates the stan... |
fb66733ef8f3c0c616d4746da63c733504fc3cf68f45fec44a8c431861431e05 | MATLAB | 2,024 | 51 | function [varargout] = newline(varargin)
% NEWLINE Create newline character
% C = newline creates the character representing a newline.
% newline is equivalent to char(10) or sprintf('\n').
%
% This is a compatibility function that should only be added to the path on
% MATLAB versions prior to R2016b.
%%%%%%%%%%%... |
3778df9bbdd34e0f447e5f69d92c40afeecc3003584c1eb975e9663fd0c35684 | MATLAB | 2,025 | 76 | function [eigs, neigs_uns, Vs, Us] = get_linear_stability(net, n_x0_1, do_return_eigvecs)
% A function to automate the linear stability analysis around the point n_x0_1.
%
% INPUTS
% net - the matlab structure of the network being analyzed.
%
% n_x0_1 - the point around which the linear stability analysis is done.
%
%... |
83b1c5b727e1dea32afbd86e99773bcf6ccf55ff476b18c0291abbbc397c5075 | MATLAB | 2,025 | 62 | function [posterior, out] = demo_logisticRegression()
% // VBA toolbox //////////////////////////////////////////////////////////
% [posterior, out] = demo_logisticRegression()
%
% this function exemplifies the use of the logistic model to perform a
% regression on binary data
% Specify the logistic model
% ==========... |
c6341c4f1defa7aeb218e10a4801989e270aa2154f21348b11b5c692ef8c2105 | MATLAB | 2,027 | 62 | function thresholds = determine_intensity_threshold_5xFAD(params,roi,synchannels)
%calculates correlation and volume overlap between different AB channels
folder = params.parentfolder;
%Extract parameters
xystep = params.xystep;
zstep = params.zstep;
nchannels = length(synchannels);
for im1 = 1:nchannels %nested loo... |
8adc4b96b1d153cfeedad6e3ca79f638e86f9118b6fc9690c6f1e18686758e6d | MATLAB | 2,028 | 64 | %% Visualize EM Lower Bounds
%
%%
% This file is from pmtk3.googlecode.com
function emLogLikelihoodMax
f1 = @(x) log(gaussProb(x,0,0.25.^2)')+1;
f2 = @(x) log(gaussProb(x,1,0.2.^2)')+20;
f3 = @(x) 5*sin(2*(x-0.5)) + ...
f1(0.5*x) + ...
f2(0.5*x) ... |
949eefe437c4f1f25e1dee75427535f7ecbfc43f1c0a8735f61631e59b8339e4 | MATLAB | 2,028 | 59 |
function create_channelmap(basepath,varargin)
% create a channel map file based on the .xml file. Original script from
% kilosort 1 wrapper. Modified to not use channels that user set as 'skip'
% in the .xml file. Modified further to accomodate probe geometry.
%
% Assumes xml file is named after raw data folder b... |
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