sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
b857938a6a01c69ad6fc0bbc6c43e598ce9a0235cc96372559dd56f57b258f60 | MATLAB | 2,284 | 49 | function test_tracker()
this_script_folder_name = fileparts(mfilename('fullpath')) ;
flytracker_folder_path = fileparts(this_script_folder_name) ;
flydisco_folder_path = fileparts(flytracker_folder_path) ;
flytracker_test_files_folder_path = fullfile(flydisco_folder_path, 'flytracker-test-files') ;
... |
fd3a5561a9eeddf6ebfa863a40152c9319a15a338788aee4fe4d135eda5f492b | MATLAB | 2,284 | 97 | function results = vl_test_alldist2(varargin)
% VL_TEST_ALLDIST
vl_test_init ;
% TODO: test integer classes
function s = setup()
vl_twister('state', 0) ;
s.X = 3.1 * vl_twister(10,10) ;
s.Y = 4.7 * vl_twister(10,7) ;
function test_null_args(s)
vl_assert_equal(...
vl_alldist2(zeros(15,12), zeros(15,0), 'kl2'), ...
... |
2721e91a51a81c3652db16b1e60263fb46428cbbc03b90ee2aea99c88bb8536b | MATLAB | 2,286 | 91 | %build_sim_RP_table_stdFR_stdRP.m
% assumes run_simulations_stdFR_stdRP.m has been run first
%%
clear all;
close all;
clc;
%% add fn paths if not added yet
% assumes script run within local directory
scriptdirs = {
'../../figures';
};
datadir = pwd;
%%
addpath(scriptdirs{:})
addpath(datadir)
%% set write prefs down a... |
ad966fc6d41d28e2a8cdac34738ebdd620a836405aee96d9cccf8239e6cb7d06 | MATLAB | 2,287 | 55 | ops.chanMap = 'D:\GitHub\KiloSort2\configFiles\neuropixPhase3A_kilosortChanMap.mat';
% ops.chanMap = 1:ops.Nchan; % treated as linear probe if no chanMap file
% sample rate
ops.fs = 30000;
% frequency for high pass filtering (150)
ops.fshigh = 300;
% threshold on projections (like in Kilosort1, can ... |
36783e129f60ae987a7cacd5e2d88cdeb9a775b6b2919786d9e7f34a911a8050 | MATLAB | 2,288 | 71 | %% Start the main pipeline
filenames = {'c25_59_228','c25_123_348','c25_163_267','c27_12_326','c27_114_176','c27_122_121','c28_83_210','c28_161_149','c28_163_244'};
radii = [3:8];
SNRs = [7:4:23];
CV_times = zeros(length(filenames),length(radii),length(SNRs));
for p = 1:length(filenames)
for q = 1:length(radii)
... |
92c1e5bbb7fb265a74e3b349d8847aeddfd2910ddce7b530c7e34bfce2805c1a | MATLAB | 2,288 | 75 | function [track] = ml_cai_dlc_to_mlbehaviourtrack_with_heading(trialDLCFolder, timestamp_ms)
% This code reads in the multiple h5 files produced by DeepLabCut
% and then converts the data so that it can be saved as a
% MLBehaviourTrack hdf5 file used by the pipeline.
%trialDLCFolder = pwd;
%trialAnalysisFolder = pwd;
... |
d184f25f005049c9063cebe36e7cf528ade79496794ecd98681991d203cdc656 | MATLAB | 2,288 | 73 | classdef MLTetrodeSession < MLSession
%MLTetrodeSession A tetrode session
% A session specific for tetrodes
properties
TFilesFilenamePrefixes
end
methods
function obj = MLTetrodeSession(...
config, ...
sessionRecord, ...
nam... |
34bfbccbb698f01ba3c8efb22b25fc272ec6591cced876392582edb1b139692c | MATLAB | 2,289 | 90 | %build_sim_RP_table_highFR_stdRP.m
% assumes run_simulations_highFR_stdRP.m has been run first
%%
clear all;
close all;
clc;
%% add fn paths if not added yet
% assumes script run within local directory
scriptdirs = {
'../../figures';
};
datadir = pwd;
%%
addpath(scriptdirs{:})
addpath(datadir)
%% set write prefs down... |
35166ae3d8caa4a9ea3de1a7afa10f37cdfe1173b8124ed8095c088dfcc972b1 | MATLAB | 2,289 | 86 | function [h, t] = vl_plotbox(boxes, varargin)
% VL_PLOTBOX Plot boxes
% VL_PLOTBOX(BOX) plots a box specified by the 4-dimensional column
% vector BOXES = [XMIN YMIN XMAX YMAX]'. If BOXES is a 4 x N matrix,
% a box for each of the N columns is plotted.
%
% H = VL_PLOTBOX(BOXES) returns a handle to the line dra... |
86217ade5ee283daf47a94dfc9a4e0ed5a16927df678130cac3561a9f0896a58 | MATLAB | 2,290 | 49 | function sigRange = sigPntPlot2(x,y,posSigIdx,negSigIdx,poscolor,negcolor)
sigRange = nan(1,6);
interval = x(2) - x(1);
if ~isempty(y)
% posSigIdx = y > threshH;
if ~isempty(find(posSigIdx,1))
sigPmY = y(posSigIdx);
sigPX = x(posSigIdx);
possIdx = find(posSigIdx,1,'firs... |
b3bf8bbd74e30e003e26b40dd8056b2f7b59fe44b5b9bf75fa596e7141e133dd | MATLAB | 2,290 | 59 | classdef IntervalSeries < types.core.TimeSeries & types.untyped.GroupClass
% INTERVALSERIES Stores intervals of data. The timestamps field stores the beginning and end of intervals. The data field stores whether the interval just started (>0 value) or ended (<0 value). Different interval types can be represented in the... |
ba702c409ea92f3af1ed1addd23f1fe0f4049def606c9f3ec37e72eb233bbc1c | MATLAB | 2,290 | 64 | % initASLEyeTracker.m
%
% $Id: initASLEyeTracker.m 203 2007-03-19 15:41:00Z justin $
% usage: initASLEyeTracker.m()
% by: justin gardner, eric dewitt
% date: 02/24/05
% copyright: (c) 2006 Justin Gardner; 2009 Eric DeWitt (GPL see mgl/COPYING)
%
function myscreen = initASLEyeTracker(myscreen,... |
42eb255afc1252339c5bf105060978aab81ff5958451519a972312b54199cac4 | MATLAB | 2,292 | 92 | %fig9_unit_ex.m
%%
clear all;
close all;
clc;
warning('on','all')
%% addpath if not added yet
% assumes script run within local directory
scriptdirs = {pwd;
'..\..\plot';
'..\..\helper_functions';
};
addpath(scriptdirs{:})
%%
datadir = pwd;
datafile = 'fig9_fig10_unit_ex.mat';
datapath = fullfile(datadir,datafile)... |
c24280e8516c59a6f153db3a593e0fb6470d6b0e93a2fd9d60bf34ddecb5dded | MATLAB | 2,292 | 51 | clear;clc
% set FSL environment -- check without the last 4 lines
setenv('FSLDIR','/usr/local/fsl'); % this to tell where FSL folder is
setenv('FSLOUTPUTTYPE','NIFTI_GZ'); % this to tell what the output type would be
fsldir = getenv('FSLDIR');
fsldirmpath = sprintf('%s/etc/matlab',fsldir);
path(path, fsldirmpath);
cl... |
0d80d98fbc2c7998c37fd534839e6387e5ce63f9dbaa4050aec4461c76bf3648 | MATLAB | 2,293 | 56 | function fH = makeSupplFigure8_STRetParams_TimeSeriesPredictionsRsquared(projectDir,...
allDS,roisToPlot,temporalModel, spatialModel, subjnrs, saveFigs, saveFigDir)
% Function to reproduce supplementary manuscript figure 8:
% panel a/b: V1 time series + CSTfix, CSTopt, DN-ST model prediction for each stimulus cond... |
a2a7ae8fa1ddb0e625bfad3502c94d431cb287fa0bf25542019497d7e8d3f4c1 | MATLAB | 2,294 | 57 | function mltp_plot_bfo_general_placey_session_grouped(obj, session, rotDeg)
% This function is used by the pipeline and supplied with either
% rotDeg = 90 or 180. It plots the groups best fit orientations.
dataFilename = fullfile(session.getAnalysisDirectory(), obj.Config.best_fit_orientations_placey.o... |
57cd1a907cebe72c345f5d33e42be4a91005d0b420c440224e869e347f6c7933 | MATLAB | 2,295 | 91 | function raster_plot(spikes,touch_idx,nplot)
%check that both variables have the same number of rows
if size(spikes,1)~=size(touch_idx,2)
display(['The variables have a different number of rows Spikes = ' num2str(size(spikes,1)) ' touch = ' num2str(size(touch_idx,2))])
keyboard
end
%% plot rasterplot chronologi... |
77f02b8c5b4499070814a10fd1a7e9d982a00aecc591f07a3e4547a4538a8658 | MATLAB | 2,296 | 74 | %% Start the main pipeline
filenames = {'sim_0','sim_1','sim_2','sim_3','sim_4','sim_5','sim_6','sim_7','sim_8','sim_9'};
load('eval.mat')
% radii = [4:8];
% SNRs = [3:4:23];
output_folder = ['./EXTRACT_CV/'];
if ~exist(output_folder,'dir')
mkdir(output_folder);
end
CV_times = zeros(length(filenames),1);
for p = 1... |
96e8dd66c8d6e43185cf615e318872a5eda271c6dd222c4bc10fdcee60e93d06 | MATLAB | 2,297 | 91 | %build_sim_RP_table_stdFR_RPk0nr3.m
% assumes run_simulations_stdFR_RPk0nr3.m has been run first
%%
clear all;
close all;
clc;
%% add fn paths if not added yet
% assumes script run within local directory
scriptdirs = {
'../../figures';
};
datadir = pwd;
%%
addpath(scriptdirs{:})
addpath(datadir)
%%
%% set write prefs... |
9c33cfe64cf63cd83ed8b72c1bfefd06bb84f5cb7b516fa74ddda4d37ef7288e | MATLAB | 2,297 | 91 | function [videoFrames] = ml_freezeframe_read_video(fn)
% This function read a limelight video file ("llii" extension).
if isempty(fn)
error('Filename is empty');
end
if ~isfile(fn)
error('The file does not exist (%s)\n', fn);
end
fileId = fopen(fn);
if fileId == -1
... |
dd92e5c3e5577e83416b9237b19fdc9488be33551c6e9a30ac18368dab72ce4c | MATLAB | 2,297 | 50 | function fH = plotLMMregressionSlopes_v_pRFSize(lmmResults, resampled_medianPRFSz, roisToPlot, cmapROIs,saveFigs,saveFigDir)
fH = figure; set(gcf,'Position',[889,294,963,604]); hold all;
for idx = 1:length(roisToPlot)
currMnSz = mean(resampled_medianPRFSz(:,idx),1,'omitnan');
currSEMSz = std(resampled_... |
43194e5770b18ce2156c83ba455edc6d7d3aed4208054901e117d29b6ee631a6 | MATLAB | 2,299 | 90 | %build_sim_RP_table_stdFR_RPk0.4nr4.m
% assumes run_simulations_stdFR_RPk0.4nr4.m has been run first
%%
clear all;
close all;
clc;
%% add fn paths if not added yet
% assumes script run within local directory
scriptdirs = {
'../../figures';
};
datadir = pwd;
%%
addpath(scriptdirs{:})
addpath(datadir)
%% set write pref... |
c3648667cc52b32ff0e2f4546ee109861501dd8a5eade7ff62bc4f7596f97fc2 | MATLAB | 2,299 | 65 | % mglTestDots.m
%
% $Id: mglTestDots.m 380 2008-12-31 04:39:55Z justin $
% usage: mglTestDots(screenNumber,numsec,backgroundColor)
% by: justin gardner
% date: 04/05/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: test OpenGL dots
%
function retval =... |
ea68585e1965930356de998b0708cbf5d1d0a2724bcb4607a16358c89dec3b37 | MATLAB | 2,299 | 64 | % manualMoveNotMoveCorrect.m
% quick script to modify moveNotMove to make not moving anything after
% cutoffT (in sec)
% 8/5/22
cutoffT = 120;
cutoffLegInd = find(legTrack.t >= cutoffT,1,'first');
cutoffFtInd = find(fictracProc.t >= cutoffT, 1, 'first');
legNotMoveInd = unique([moveNotMove.legNotMoveInd; (cutoffLegIn... |
1317d0ad53b23d5528894292d276538824fd6eb4b580c771daa243dfe21ed0be | MATLAB | 2,300 | 76 | function [file] = read_bti_ascii(filename)
% READ_BTI_ASCII reads general data from a BTI configuration file
%
% The file should be formatted like
% Group:
% item1 : value1a value1b value1c
% item2 : value2a value2b value2c
% item3 : value3a value3b value3c
% item4 : value4a value4b value4c ... |
d796618d200aaf9243b667b3257d1b7f6de0d9b105cae28884ed7f0eb56bdc64 | MATLAB | 2,300 | 77 | % $Id$
%
% by: Benjamin Heasly
% date: 03/18/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Function to draw a polygon in a screen opened with mglOpen.
% x and y can be vectors (the polygon will be closed)
%
% Note for MGL v3 with Metal:
% ... |
7601e8b9d1fc5e891c17f77f436fb4cc0496a783aa5061745104f12d14228fca | MATLAB | 2,301 | 67 | function [parameters,error] = fitting_function(data,fitting_target,starting_values,model_name)
% set up initial values and bounds
switch model_name
case 'multi_trial_belief'
value_init = ones(2,4) * 0.2;
lb = [0.05,0.01,0.01,0.01,0,0]; % lower bound
ub = [0.5,1,1,1,1,0]; % upper bound
... |
95247d667f318880a478bcd5a63bb700a74654e79e43ab673cb7b47c8cc54d3e | MATLAB | 2,301 | 74 |
%% Copyright (C) 2005 Julius O. Smith III
%%
%% 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 2 of the License, or
%% (at your option) any later version.
%%
%% This program is ... |
98362cf88ff12e124caa3ec22009eba7e91f8eb57568084bf39c4e023381ea3c | MATLAB | 2,301 | 78 | %
% Plot the precision over a given set of methods.
%
% PARAMETERS
% $NETWORK
% $METHODS Space-separated list of methods
%
% INPUT
% dat/precision.$METHOD.$NETWORK.mat for each $METHOD in $METHODS
%
% OUTPUT
% plot/precision.all.[a].$MEASURE.$NETWORK.eps
% for all $MEASURE
% a - Show only the best submethod for ea... |
98478838e64eb9cd40214073da4f31dc073bffc7c061907ab3053e367f301853 | MATLAB | 2,301 | 93 | %
% Labels of submethods.
%
% RESULT
% labels
% .(submethod) Readable label of the submethod
%
function labels = get_labels_submethod()
labels = struct();
% Local
labels.adad = 'AA';
labels.absadad = '|AA|';
labels.jaccard = 'Jaccard';
labels.absjaccard = '|Jaccard|';
labels.common = 'CN';
labels.abscomm... |
3bf1aef61f01683fcb35f45bea8b112e21e9d6ae4d6e766f9549b274b797f0a7 | MATLAB | 2,302 | 67 | % mglStencilCreateBegin
%
% $Id$
% usage: results = mglStencilCreateBegin(stencilNumber, invert, socketInfo)
% by: justin gardner and ben heasly
% date: 05/26/2006
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Begin drawing to stencil. Until mglStenci... |
7808e9d18b58d99cb6d26813f44bd6b99fe99c294abe5cea1c3393369f45675e | MATLAB | 2,302 | 57 | % calculate the mean and variance of arbitery windows using integral image computation
function [avg_c, var_c] = calcVariance(I, gridx, gridy, patchSize)
% if isdouble(I), Ip = I; else Ip = double(I); end
Ip = double(I);
[imh, ~, imc] = size(Ip);
% coordinates of center pixels for computing regional sum in integra... |
656443ea7d1192c2b9872bdb2dce014185b6cdb30b71c4df6dee64d72f1c9427 | MATLAB | 2,303 | 54 | function [probe] = translateProbe(probe, translate_amount)
%TRANSLATEPROBE Translate probe relative to ROI
% Translates the entire probe (assembly of modules) relative to ROI to
% ensure proper coverage. Translate_amount is defined as [deltax, deltay]
% where deltas can be negative or positive. Additionally, if
%... |
e75d13fe0eeaa877d4dda03482f0617fe9553cb363c7d97cea36b5e08f51e64d | MATLAB | 2,303 | 79 | function [peak_distance,OS_peak]=OS_poincare_v5(ROI_profile,name,timeinterval,varargin)
% last updated 20240324 mw.
% Diffrence from V4, normalize data first, then find peaks. Deleted unused codes
%% This code is for analyzing traces with irregular periodicity, including
%% load the traces
ROI_profile=ROI_profile... |
ff98c82c4e8bb8e3bc38b59959531849d3262b55e14ce82f58bd6a826a464d56 | MATLAB | 2,303 | 117 | % script for quick plots of avgLegFictracEphysIinj
figure;
hold on;
sampRate = 1000;
avgWin = 0.1;
durInd = 3;
lgdStr = {};
for i = 1:length(amps)
% moving average smooth FicTrac data
movAvgFwdVel = moveAvgFilt(fictracIinj.fwdVel.means{i,durInd},sampRate,avgWin);
plot(fictracIinj.durTs{durInd},movAvgFw... |
bb2bcd8f6a395eeb425039ee41c8be877d2579264819186d1da20e89ea9e4f9c | MATLAB | 2,304 | 71 | % this script create a 3-D scatter plot showing different pattern of the
% dynamics, including ON-ON, OFF-ON, OFF-OFF and ON-OFF
% 3 dimensions are: DeltaE (x), DeltaI (y), and Isens(z)
rootFolder = "figure_40_diff/";
% ON-ON
data = readFilename(rootFolder+"asAllCriteria/*_*_*_*.png",'%f_%f_%f_%f');
data( all(~data,2),... |
370eac5cd8a37a0305cb371593fb2fbd8d00235b10b4fa396edb118804223c95 | MATLAB | 2,305 | 76 | function [acc,left_num,right_num] = CSP_LDA(MIEEGData,label,Fs,LowFreq,UpFreq)
% Common Spatial Pattern + Linear Discriminant Analysis
% Input:
% MIEEGData:The raw motor imagery data
% label: motor imagery data label, 1 and 2
% Fs: the sampling frequency (in Hz)
% LowFreq: High pass filtering parameter sett... |
b2e99adc8a90f8bbd58c4bb7431f7d218911379238a903a99ab32777a171aa6b | MATLAB | 2,305 | 54 | %% Script to reproduce the results of the paper
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Note: A few sessions contain simultaneous recordings from M1 and PMd.
%
% We define:
%
% Session: Behavioural session. A file that contain one set of movements
% and their kinema... |
0e4fc97613c4442eb53091911ef0f61125d230a8c2b0bfa3ec8419c57f22942e | MATLAB | 2,306 | 92 | %build_sim_RP_table_stdFR_RPk0.7nr18.m
% assumes run_simulations_stdFR_RPk0.7nr18.m has been run first
%%
clear all;
close all;
clc;
%% add fn paths if not added yet
% assumes script run within local directory
scriptdirs = {
'../../figures';
};
datadir = pwd;
%%
addpath(scriptdirs{:})
addpath(datadir)
%%
%% set writ... |
859ffb62a8eb4a2278e7ed2cab4fcc221e5fae999ed593d6c20539dbe9c7416d | MATLAB | 2,308 | 77 | % get feature planes for the whole image
function chns = extr_feat_plane(I, descPara)
[imh, imw, imc] = size(I);
if imc ~= 3
error('only rgb image is accepted');
end
chns.imh = imh;
chns.imw = imw;
% transform rgb image to other color spaces (all in the range of [0,1])
[chns.rgb, ~] = Image2ColourSpace... |
e166e69a7f57f6a2ca91711a1aca08f2878710bf70fb53dfaadd5cf84c24f6ae | MATLAB | 2,308 | 56 | % Computes the design effect (DEFF), which can subsequently be used to correct
% sample size calculations using the 'sampszcalc' function.
%
% -- Function File: DEFF = deffcalc (BOOTSTAT, BOOTSTAT_SRS)
%
% 'DEFF = deff_calc (BOOTSTAT, BOOTSTAT_SRS)' computes the design effect
% (DEFF) by taking the ratio of the... |
02398ce810932405f74d5f750fcdf3bdf101b7495f2eafa64d412de63dd049bd | MATLAB | 2,310 | 58 | function [ns_RESULT, TimeStamp, Data, SampleCount, UnitID] = ns_GetSegmentData(hFile, EntityID, Index);
%ns_GetSegmentData Retrieves segment data by index
%
% Usage:
% [ns_RESULT, TimeStamp, Data, SampleCount, UnitID] =
% ns_GetSegmentData(hFile, EntityID, Index)
%
% Descripti... |
11c3962b47d426eafffda0f39ac44023c256312f676581c17e93917c893fefe3 | MATLAB | 2,310 | 78 | function GRE_preparation_2nifti(dcm, output_dir, cleanup)
% function GRE_preparation_2nifti(dcm, output_dir, cleanup)
%
% preparation for multi-echo GRE data, convert from DICOM file/folder to NIFTI using dcm2niix
% then combine multi-echo GRE data and read Params from json file and save to .mat
%
% input_dir: inp... |
53d76aa961002b40025c948703c032bb34a47c7edd05e481fa5514257582bcbe | MATLAB | 2,310 | 64 | %{
Copyright (C) Cambridge Electronic Design Limited 2014
Author: James Thompson
Web: www.ced.co.uk email: james@ced.co.uk, softhelp@ced.co.uk
This file is part of CEDS64ML, a MATLAB interface to the SON64 library.
CEDS64ML is free software: you can redistribute it and/or modify
it under the t... |
66bd5cfc938521939088373ff0829231f802af33746982f17bffdf68e60ae2dc | MATLAB | 2,310 | 63 | %
% Please cite this paper if you use any component of this software:
% S. Soltanian-Zadeh, K. Sahingur, S. Blau, Y. Gong, and S. Farsiu, "Fast
% and robust active neuron segmentation in two-photon calcium imaging using
% spatio-temporal deep learning," Submitted to PNAS.
%
% Released under a GPL v2 license.
functio... |
5ff0767797ee5b8e2fa8df622d57b06f9d8557feabe9b004261f4d3155640763 | MATLAB | 2,311 | 85 | function vol = read_hdr(fname)
% Get a variety of information from a NIFTI-1 header.
% FORMAT vol = read_hdr(fname)
% fname - filename of image
% vol - various bits of information
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
%... |
80840ac62b3f09aeb8f3198736b139f95997cf665f6eb2ad1cc6feb47bf7a5a0 | MATLAB | 2,311 | 95 | %% Script for the extraction of IBI distributions %%
% attenzione non da worning su nomi
%% Set up iniziale
% nbins=100;
clear
close all
binwidth = 0.1;
IBI_Sponge_18_all = []; %da cambiare manualmente per ora per ogni configurazione (seleziona tutti e modifica)
%% Output folder
[end_folder]= selectfolder('Sel... |
7e4805b23fdb54e96c7368d537c4902b4571dca3678156c9316d9714b8dbec31 | MATLAB | 2,312 | 50 | % Cost Function for the GBM model
% Original Source: Marisa Eisenberg (marisae@umich.edu)
% Since we had less T cell data than the other cell types, we had to modify how the T cell data
% was inputted into the error equations. We used the weighted ordinary least squares (OLS) error,
% but this script constains multip... |
a0b8074cd4a6fee6970dd27195ce0e81123569046f8cd475fc7e4f3a603fcb3a | MATLAB | 2,313 | 81 | function section=handleSectionArg(section)
% Handle section arg for various functions such as stitchSection
%
% function section=handleSectionArg(section)
%
% Purpose
% Physical section/optical section converter.
%
% INPUTS
% section - 1) A scalar (the z section in the brain). Used to retrieve one plane only.
% ... |
35f85eb942dd14a4800264f4c31c3ed3f629e07311ef6eda12746c41492d4e56 | MATLAB | 2,316 | 108 | movfiles = dir('/groups/branson/home/bransonk/behavioranalysis/code/SSRNN/SSRNN/Data/bowl/GMR_71G01_AE_01_TrpA_*/movie.ufmf');
for i = 1:numel(movfiles),
[~,nframes(i),fid] = get_readframe_fcn(fullfile(movfiles(i).folder,movfiles(i).name));
fclose(fid);
end
%%
n = numel(pd0.data{7});
for i = 1:n,
if i... |
6f965675a179d2baeeea10f29c501bdeb0786cbcca4bfd8cca29ddfe618f9da6 | MATLAB | 2,316 | 92 | %fig10_additional_unit_ex.m
%%
clear all;
close all;
clc;
warning('on','all')
%% addpath if not added yet
% assumes script run within local directory
scriptdirs = {pwd;
'..\..\plot';
'..\..\helper_functions';
};
addpath(scriptdirs{:})
%%
datadir = pwd;
datafile = 'fig9_fig10_unit_ex.mat';
datapath = fullfile(datad... |
d7300549bc3383d21fb168eb62a32bbd66d3eb06c6d9e60c8ae241922cef4851 | MATLAB | 2,316 | 55 | function [Pwire, Ewire] = wire_single_loop(Rx, Ry, a, b, N, M, type)
% This function creates the structured wire grid for a single
% ellipsoidal or circular loop with semi-axes Rx, Ry
% a - cross-section conductor radius in m when option type='circle' is chosen for
% the wire cross-section
% a, b - conductor... |
1f9f0f91112378becf682d8515631dece3879e3a48e0f556bf13724973de2de8 | MATLAB | 2,317 | 66 | % 2021-06-04: I wrote this code to test the path simulation code. The path
% simulation code performs a random walk with intermitent attraction to one
% of the 4 cups so that the paths are more realistic to what we see with
% real data.
% 2021-06-08: Extended the demo code to generate an entire sessions's
% behaviour ... |
7958e34c4755d05431b2fa5370bfdf7fd924c1037c8ae215b82d54c937f39f32 | MATLAB | 2,317 | 78 | function [x, state] = ft_preproc_standardize(x, begsample, endsample, state)
% FT_PREPROC_STANDARDIZE performs a z-transformation or standardization
% of the data. The standardized data will have a zero-mean and a unit
% standard deviation.
%
% Use as
% [dat] = ft_preproc_standardize(dat, begsample, endsample)
% whe... |
dfae38169785317e9460d10b59d8b5de45391bbd2f3bd7b2b867dd9428150260 | MATLAB | 2,317 | 58 | clear
file=dir('ACC*restable*.mat');
k=1;
for jj=1:length(file)
load(file(jj).name)
gotrial=find(outcome(:,1)==1|outcome(:,1)==2);%Go trial,hit/miss
gotrial(find(gotrial<=1),:)=[]; %delte first trial
previous_trial_g=outcome(gotrial-1,1);%previous trial
reward_trial_g=find(previous_tri... |
0ec92766ef90ffba2ae107618248aa99225bfd23793e4fe0f4f532231984ec62 | MATLAB | 2,318 | 85 | function vol = read_hdr(fname)
% Get a variety of information from a NIFTI-1 header.
% FORMAT vol = read_hdr(fname)
% fname - filename of image
% vol - various bits of information
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
%... |
538dcfc6046ce4b2d7d2046fb04bbd1f71a106c4e1f9aee7b08caa1d9c54a187 | MATLAB | 2,319 | 63 | % getLegReversals.m
%
% Function for getting max and min in leg positions, when leg reverses
% direction
% Adapted from nonInteractGetLegReversals(), but uses findpeaks to get leg
% reversals instead of findLegReversals()
%
% INPUTS:
% legTrack - struct of leg tracking data, output of preprocessLegTrack
% moveNo... |
19b47029c006dc100b30165050e82a6b5a58547c1e5d2212e93db324dc43cae2 | MATLAB | 2,320 | 113 | % mglTestTexFast.m
%
% $Id:$
% usage: mglTestTexFast()
% by: justin gardner
% date: 05/17/12
% purpose:
%
function retval = mglTestTexFast()
% check arguments
if ~any(nargin == [0])
help mglTestTexFast
return
end
% open screen
mglOpen(0.8);
mglScreenCoordinates;
% size of image to ... |
7154448f6311be9e4c2640d5c1ac1eaeab5326b28112f6660a0f5f40b092e37e | MATLAB | 2,320 | 72 | addpath(genpath('C:\Users\Yijun\Documents\MATLAB\EXTRACT-public-master'));
%% Start the main pipeline
filenames = {'sim_0','sim_1','sim_2','sim_3','sim_4','sim_5','sim_6','sim_7','sim_8','sim_9'};
radii = [4:8];
SNRs = [3:4:23];
CV_times = zeros(length(filenames),length(radii),length(SNRs));
for p = 1:length(filenames... |
51562f109a318564bd01a508e8e4ff5f85c2ddcd28ce42758c1c21d5abc1e5c9 | MATLAB | 2,321 | 113 | % mglTestTexFast.m
%
% $Id:$
% usage: mglTestTexFast()
% by: justin gardner
% date: 05/17/12
% purpose:
%
function retval = mglTestTexFast()
% check arguments
if ~any(nargin == [0])
help mglTestTexFast
return
end
% open screen
mglOpen(0.8);
mglScreenCoordinates;
% size of image to ... |
9a656c45f62bc1337124ab4256dac3c53f973b101005f9a385361d60e18d18f6 | MATLAB | 2,322 | 71 | %% Start the main pipeline
filenames = {'CaMKII_120_TMT Exposure_5fps_part11','CaMKII_120_TMT Exposure_5fps_part12','CaMKII_120_TMT Exposure_5fps_part21','CaMKII_120_TMT Exposure_5fps_part22'};
radii = [10:2:18];
SNRs = [15:4:31];
CV_times = zeros(length(filenames),length(radii),length(SNRs));
for p = 1:length(filenam... |
8e3ad379897df4da19931aefa01e134048ee4d446c3a1e84f82fafb2363add8e | MATLAB | 2,323 | 90 | function vl_xmkdir(path, varargin)
% VL_XMKDIR Create a directory recursively.
% VL_XMKDIR(PATH) creates all directory specified by PATH if they
% do not exist (existing directories are skipped).
%
% The function is meant as a silent replacement of MATLAB's builtin
% MKDIR() function. It can also be used to sh... |
4c69d7c2eb934d08e0e453c64f7f44ce5192ca882f4494bf63b6ab70e17bc3e6 | MATLAB | 2,326 | 66 | % mglTestDots.m
%
% $Id: mglTestDots.m 380 2008-12-31 04:39:55Z justin $
% usage: mglTestDots(screenNumber,numsec,backgroundColor)
% by: justin gardner
% date: 04/05/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: test OpenGL dots
%
function retval =... |
83081af0caaf8ae8499afac79bf76632c04629067f159b4cfa4a4c3a52d57d06 | MATLAB | 2,327 | 82 | function P=sampleApprox(alpha,mu,n_samples)
% sampleApprox Compute sample-approximated null model
%
% Syntax
%__________________________________________________________________________
%
% P=sampleApprox(alpha,mu)
%
% P=sampleApprox(alpha,mu,n_samples)
%
%
% Description
%____________________________________________... |
d6cb8890877ebdb6b54f2ed12adf0715809045e0244df93c9ecec5dddc017f55 | MATLAB | 2,327 | 84 | filename = 'Sim1';
noise_wave = 1;
% Script to simulate mEPSCs with amplitude and kinetics
Time=9.9;
n=40; % set between 5 (0.5 Hz) and 40 (4 Hz)
sample_rate=40000;
N=sample_rate*Time;
Event=zeros(N,1);
EventMarkers=Event;
Trace=zeros(N,1);
T = (0:N-1)'*1/sample_rate;
% Generating... |
044969c6f01609e1c14a37e4f8fbae4ae618f6e7daeadc0bbc4e500b61d3b57e | MATLAB | 2,328 | 115 | function path = findPathInDiGraph(adj, src, snk, verbose)
%FINDPATHINDIGRAPH Return all paths between two nodes of a graph
% https://github.com/kakearney/pathbetweennodes-pkg
% pth = pathbetweennodes(adj, src, snk)
% pth = pathbetweennodes(adj, src, snk, vflag)
%
%
% This function returns all simple paths (i.e. no cycl... |
066ecdfacfe265b5e875b913b4da7ae24fd0ed0a013c287df64774470c0f3aff | MATLAB | 2,328 | 72 | addpath(genpath('C:\Users\Yijun\Documents\MATLAB\EXTRACT-public-master'));
%% Start the main pipeline
filenames = {'Mouse_1K','Mouse_2K','Mouse_3K','Mouse_4K','Mouse_1M','Mouse_2M','Mouse_3M','Mouse_4M'};
radii = [4:9];
SNRs = [7:4:23];
CV_times = zeros(length(filenames),length(radii),length(SNRs));
for p = 1:length(f... |
a190fd06446a3793a8ff107ac9ca03b89c456f6f620bfc3b62941b4627ff053b | MATLAB | 2,329 | 74 | % This example shows how to NOT use MOCA assembly functions to create a
% probe. Design parameters and probe are set manually, and
% characterizeProbe() is still used to determine metrics
clear all
% Design Parameters
% Manually define the perimeter, src/det posns, and roi
probe.module.perimeter = [-17.5000 17.500... |
60601597be585e98019304d329e991ee167a78b928ccab78147c1213c1dc5797 | MATLAB | 2,331 | 55 | classdef RECORDINGMODE_SETUP < RECORDINGMODE_COMMONMETHODS
% Object with properties and methods to analyse setup fields from
% PerceptPC json file at NCN lab
%
% Available at: https://github.com/NCN-Lab/DBScope
% For referencing, please use: Andreia M. Oliveira, Eduardo Carvalho, Beatriz Barros, Car... |
43a7e907170ce2c240fc9e4a2e9962dfe250f712de1486521a68e06e82b2398f | MATLAB | 2,332 | 75 | % mglTestTextureOddSizes: an automated and/or interactive test for rendering.
%
% usage: mglTestTextureOddSizes(isInteractive)
% by: Benjamin Heasly
% date: 03/10/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Test rendering some text as an image.
% ... |
fc8cf76784aba6c8d3d5fb546fd8a3ea4549c27103785713c03659844f01c226 | MATLAB | 2,334 | 72 | % mglTestUpdateTexture: an automated and/or interactive test for rendering.
%
% usage: mglTestUpdateTexture(isInteractive)
% by: Benjamin Heasly
% date: 03/10/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Test rendering a smoothly varying texture.
% ... |
29e77da660157af9894fdb57132e33d19f0b8a8e93b0d061bc540e4017952224 | MATLAB | 2,335 | 71 | addpath(genpath('C:\Users\Yijun\Documents\MATLAB\EXTRACT-public-master'));
%% Start the main pipeline
filenames = {'sim_0','sim_1','sim_2','sim_3','sim_4','sim_5','sim_6','sim_7','sim_8','sim_9'};
radii = 8;
SNRs = 3;
output_folder = ['./','EXTRACT_radius',num2str(radii),'_SNR',num2str(SNRs)','./'];
if ~exist(output_fo... |
2d7195784b9a5a74304830a4769404c3de9951b058e675a09e210d423d728aa8 | MATLAB | 2,335 | 71 | addpath(genpath('C:\Users\Yijun\Documents\MATLAB\EXTRACT-public-master'));
%% Start the main pipeline
filenames = {'sim_0','sim_1','sim_2','sim_3','sim_4','sim_5','sim_6','sim_7','sim_8','sim_9'};
radii = 6;
SNRs = 7;
output_folder = ['./','EXTRACT_radius',num2str(radii),'_SNR',num2str(SNRs)','./'];
if ~exist(output_fo... |
4e670b267d9c07e9effbf00caa2a28d302ddae63d71253e3fbc6ad8816ceb63c | MATLAB | 2,335 | 71 | addpath(genpath('C:\Users\Yijun\Documents\MATLAB\EXTRACT-public-master'));
%% Start the main pipeline
filenames = {'sim_0','sim_1','sim_2','sim_3','sim_4','sim_5','sim_6','sim_7','sim_8','sim_9'};
radii = 8;
SNRs = 4;
output_folder = ['./','EXTRACT_radius',num2str(radii),'_SNR',num2str(SNRs)','./'];
if ~exist(output_fo... |
b26681d3ff1efbf17b20c35971f3b3c3b28f0c30253f5b758d47889cbb765d77 | MATLAB | 2,335 | 71 | addpath(genpath('C:\Users\Yijun\Documents\MATLAB\EXTRACT-public-master'));
%% Start the main pipeline
filenames = {'sim_0','sim_1','sim_2','sim_3','sim_4','sim_5','sim_6','sim_7','sim_8','sim_9'};
radii = 4;
SNRs = 4;
output_folder = ['./','EXTRACT_radius',num2str(radii),'_SNR',num2str(SNRs)','./'];
if ~exist(output_fo... |
cc986545316612dac65cd53755c24580b0c45ac58563236c1011e8daefca6749 | MATLAB | 2,335 | 71 | addpath(genpath('C:\Users\Yijun\Documents\MATLAB\EXTRACT-public-master'));
%% Start the main pipeline
filenames = {'sim_0','sim_1','sim_2','sim_3','sim_4','sim_5','sim_6','sim_7','sim_8','sim_9'};
radii = 7;
SNRs = 7;
output_folder = ['./','EXTRACT_radius',num2str(radii),'_SNR',num2str(SNRs)','./'];
if ~exist(output_fo... |
cdc180d4da053b5264950b8fad6772353528aee1410547f67f129e32089f9fb6 | MATLAB | 2,335 | 71 | addpath(genpath('C:\Users\Yijun\Documents\MATLAB\EXTRACT-public-master'));
%% Start the main pipeline
filenames = {'sim_0','sim_1','sim_2','sim_3','sim_4','sim_5','sim_6','sim_7','sim_8','sim_9'};
radii = 9;
SNRs = 3;
output_folder = ['./','EXTRACT_radius',num2str(radii),'_SNR',num2str(SNRs)','./'];
if ~exist(output_fo... |
8692cda67740ae9ba28134b2a59a1c5376202581946c2b87e09fc55c68c315d9 | MATLAB | 2,336 | 90 | % plotSpikerateMoveNotMove.m
%
% Function to plot the mean spike rate during moving and not moving periods
% (output of getMoveNotMoveSpikerate()).
%
% INPUTS:
% datDir - folder containing getXCorrEphysContParam_cell() output files
% yScale - scale for y-axis
%
% OUTPUTS:
% none, but generates plot
%
% CREATED:... |
1f3058d3529ee9c527e7189595fbecda28ebcfd0107193857e7c63a5a8eb3c8c | MATLAB | 2,338 | 72 | addpath(genpath('C:\Users\Yijun\Documents\MATLAB\EXTRACT-public-master'));
%% Start the main pipeline
filenames = {'Mouse_1K','Mouse_2K','Mouse_3K','Mouse_4K','Mouse_1M','Mouse_2M','Mouse_3M','Mouse_4M'};
radii = [4:9];
SNRs = [3:4:23];
CV_times = zeros(length(filenames),length(radii),length(SNRs));
for p = 1:length(f... |
7eb89170834836c7a5f71b5a9424be989515b635abf47151a7c87c73352b2e09 | MATLAB | 2,338 | 82 | % Function: f_ImageMatrix
%
% Descrption:
% This function makes the image of the data contained in a matrix. Each
% cell in the matrix is the center of a rectangular pixel.
%
% Parameters:
% pm_Data(*): Matrix to display as image
% pv_XAxis: Vector containing the bounds of x axis (see "help imagesc")
% pv_YAxis: Vec... |
a20437c331145a8e17185909e5d7b3b34d845a20c91508faa127fb782d5629f9 | MATLAB | 2,338 | 98 |
function batch_data=batch_do_data_augmentation(train_opts, imdb, work_info_epoch, batch_data, work_info_batch, work_info)
data_aug_config=train_opts.data_aug_config;
if work_info.ref.run_eva || ~data_aug_config.do_aug
batch_data.aug_info=[];
return;
end
if ~isfield(imdb.ref, 'data_aug_params') || isempty(... |
bd958e8802b0940339f2d1f78ce28472994008a88e2db2d946df0864df3c472e | MATLAB | 2,338 | 86 | function B = aedes_rot3d(A,k,dim)
% AEDES_ROT3D - Rotate 3D (or 4D) matrix in 90 degree steps in 3 dimensions
%
%
% Synopsis:
%
% Description:
%
% Examples:
%
% See also:
%
% This function is a part of Aedes - A graphical tool for analyzing
% medical images
%
% Copyright (C) 2006 Juha-Pekka Niskanen <Juha-Pekka.Nis... |
d6d0182ee404bf4e946d8bd38552bd3baa134474a955d6be3bfe91d4698d65fa | MATLAB | 2,338 | 116 | function [all_ref,all_som,all_pv] = plot_binned_correlations(corrs,ds_ct_matrix)
all_ref=[];
all_som=[];
all_pv=[];
all_comp=[];
for d = 1:length(ds_ct_matrix)
reference=ds_ct_matrix{d,1,1};
som_rsc=mean(corrs{1,d},3,'omitnan');
pv_rsc=mean(corrs{2,d},3,'omitnan');
select=ones(size(som_rsc,1)... |
e41517226d7e26b932fba41bb51badf40de81bba992e0e07cbec788205cb4adc | MATLAB | 2,342 | 65 |
function one_result=seg_eva_gen_result_from_con_mat(one_con_mat, exclude_class_idxes)
class_num=size(one_con_mat, 1);
accuracy_classes=zeros(class_num, 1);
inter_union_score_classes=zeros(class_num, 1);
if nargin<2
exclude_class_idxes=[];
end
... |
932a35e3643a0a675bd65ac1ac1c0fd40bafe37044a13bbc6252107f9f8364a3 | MATLAB | 2,345 | 90 | %% import the NGS file
VV=fastqread('E:\GXX\mHMLPseq\2ndseq\mHMLPseq-2_combined_R2.fastq\mHMLPseq-2_combined_R2.fastq');
seq=[];
for i =1:size(VV,2)
seq{i}=VV(i).Sequence;
end
data_set=seq;
pool_ref_sgRNA=refpool; %import data->.scv->cell->file name named as refpool
ref_sequence='GTTTTAGAGCTAGAAATAG';
sg... |
ec8d783f3a1c2cbbf140b93e90a3094ecba0e26b738db4cdbae3b86ceab9a1be | MATLAB | 2,345 | 71 | function [Wrot, CC] = get_whitening_matrix(rez)
% based on a subset of the data, compute a channel whitening matrix
% this requires temporal filtering first (gpufilter)
ops = rez.ops;
Nbatch = ops.Nbatch;
twind = ops.twind;
NchanTOT = ops.NchanTOT;
NT = ops.NT;
NTbuff = ops.NTbuff;
chanMap = ops.chanMap;
Nchan = rez.o... |
19d26fc0b2c56969881898c512fda9f46f853206b1afe22e1065c637ea86badb | MATLAB | 2,346 | 63 | function [density_diff] = PlotWatershedDifference(embeddingValues1,embeddingValues2)
%Plots the density map along with the watershed; not used in paper
maxVal = max(max(abs([embeddingValues1;embeddingValues2])));
maxVal = round(maxVal * 1.1);
load('reference_embedding.mat')
sigma = 4; %change smoothing... |
cce170dc0aeb797cad4c0068c5296cd701655115104fad807aed4ad9968ed3d1 | MATLAB | 2,346 | 52 | function [Pwire, Ewire, Swire, P, t, tind] = meshcoil(x0, y0, z0, M, N, a, b, flag, sk)
% Create the mesh (both CAD surface mesh and a computational wire grid)
% for a simple z-oriented coil with elliptical/spherical turns
% characterized by centerline intersections x0, y0, z0 with xz and yz
% planes and 1 A of... |
e675d29ada85cabae607d05fe9ed522b1afffc26fc7a837076ab7254db4a9968 | MATLAB | 2,346 | 79 | classdef MLExperiment < MLExperimentInterface
%MLExperiment Implementation of the interface
% An implementation of the experiment interface
properties (SetAccess=private, GetAccess = protected)
AnimalName
ImagingRegion
ExperimentName
ArenaGeometry
NumContexts
... |
087200b644caaa6ad14bfbe3a39bbc99e60f64e2719bcbcce762163528c42f8b | MATLAB | 2,347 | 100 | function[] = overlayMarkersMax();
%% Project synapse locations onto maximum projections of dendrite
% size not taken into account here
%% load maximum projection
dendriteList = dir('*MAX*Dendrite*.tif');
nFiles = size(dendriteList, 1);
if nFiles>1;
disp('There are multiple max projections, help me!');
... |
312522890963a1a32e575e4f2fc02362d4d3c05429ad03314e5e4d7468dfa2fc | MATLAB | 2,347 | 105 | %
% Plot the eigenvalue distribution.
%
% PARAMETERS
% $network
% $decomposition
%
% INPUT FILES
% dat/distr.$decomposition.$network
%
% OUTPUT FILES
% plot/distr.$decomposition.[abf].$network.eps
% (a) Plain distribution
% (b) Stairs, i.e. transposed cumulative distribution
% (f) Cumulative distribution
%
%
% C... |
b5b13d0a01fe07936f9ed0776fcf6dd140298c0b5187450ead222bca3a5039b2 | MATLAB | 2,347 | 66 | function text = cleanECG( obj, fs )
% filter ECG artifacts from LFP online streaming recordings
%
% Syntax:
% CLEANECG( obj, fs, ax );
%
% Input parameters:
% * obj - object containg data
% * fs - sampling frequency
% * ax (optional) - axis where you want to plot
%
% Example:
% CLEANECG( fs, ax );
%
% Avai... |
52a35b5a9fb6ade7ff75b964690f276517d8ace4182253bb2ccc749c552bbbbd | MATLAB | 2,348 | 65 | % ----------------------------------------------------------------
% function CalScale
% input: I ...........Input image
% output: ScaleMap.....Output Scale Map
% implementation described in the paper:
% Peng Jiang, Haibin Ling, Jingyi Yu, Jingliang Peng
% Salient Region Detection by ... |
1bcb68749497ae79c4979a3c81abfb4aafcd2fb7e69a3609f61cc86222ca36d2 | MATLAB | 2,349 | 67 | function [emm] = relevel_table(emm, var2relevel, varargin)
% Re-level categorical variables in the estimated marginal means table
% Copyright 2019, J. Hartman, Cornell University
% written using Matlab version R2016a
%
% INPUTS:
% emm is output from emmeans.m
% var2relevel is 1 x N cell array of strings corres... |
5b58b9460f3080be0a682f8f215a9e174df22e47cf04f98d6088c123fe8dd099 | MATLAB | 2,349 | 46 | %{
TDMS files can store many different types of data inside of them, such as
uint8, int16, doubles, etc. A full list is outside the scope of this document.
One of these data types is rawDAQmx. I think this data type is actually the
bit representation captured by the DAQ (hence the name raw). The presence
of this dat... |
d62a57c7ba7f255edb328a3d3dcd5eefcd94643dc6f00f38f1687e7cc9c7d1cd | MATLAB | 2,349 | 55 | function [SVM, Acc_SVM, Sens_SVM, Spec_SVM, labs_SVM, corr_SVM, corr_SVM_F]=get_svm_jt(groupTrain,groupTest,datTrain,datTest,lab,kernel,Seed,kf,ztransfo)
Xtr = datTrain;
Xte = datTest;
Ytr = groupTrain;
Yte = groupTest;
if ztransfo == 1
Xtr=(Xtr-mean(Xtr))./std(Xtr);
... |
0578fbb98611b1b21dd88ca7a37aafdc0f40e411087ee9e6e8c68024a4dccd0e | MATLAB | 2,350 | 72 | function T = spm_type(x, arg)
% translates data type specifiers between SPM & Matlab representations
% FORMAT T = spm_type(x, arg)
% x - specifier
% T - type
% arg - optional string argument, can be
% - 'maxval' - return maximum allowed value.
% - 'minval' - return minimum allowed value.
% - 'nanrep' ... |
a7afa231e0cbcaf1243231f0eacf4733e5bc6d85801e02ff240a974ff0ef7ccd | MATLAB | 2,350 | 61 | function [selectedVoxels, rNC] = selectVoxelsFromNoiseCeiling(noiseceilingRun, amplTrial, roiOrder, combROIs, topX)
% Get nr subjects and rois
[nrSubjects, nrROIs] = size(noiseceilingRun);
% Preallocate space
selectedVoxels = cell(nrSubjects,nrROIs);
rNC = selectedVoxels;
switch topX
case 'top250vox'
to... |
47c8b3f7c275776691527e853d61a9731f730409e767d393152f936e51b38966 | MATLAB | 2,351 | 71 | function [headmodel] = ft_read_vol(filename, varargin)
% FT_READ_VOL reads a volume conduction model from various manufacturer
% specific files. Currently supported are ASA, CTF, Neuromag, MBFYS
% and Matlab.
%
% Use as
% headmodel = ft_read_vol(filename, ...)
%
% Additional options should be specified in key-value ... |
4a0d32fe6f6ef94d91a62c01ac1b76b230bb41e0b7dc59303df4fc49d61a1cee | MATLAB | 2,351 | 73 | function [fixed] = ml_nlx_nvt_fix_extracted_array(nlx_vt_extracted_array)
PARAM_WS=15; % How many points to smooth over
% All of the indices that we will work on
allIndices = 1:length(nlx_vt_extracted_array);
% Find the indices that are definitely bad
badIndices = find(nlx_vt_extracted_array == 0);
% Find indices th... |
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