sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
c51a263a3039f7a63f48a99f56c7413a1cd5815b2e7882e45e028112d577ae89 | MATLAB | 518 | 17 | function fascSel = fasc_selectivity(model, Q, iElec)
arguments
model (1,1) Model
Q = linspace(0, get_max_threshold(model));
iElec = [];
end
if isempty(iElec)
fascIdsByAs = load_active_sites(model.paths);
iActiveSites = 1:size(fascIdsByAs, 1);
else
[~, activeSites] = load_active_sites(m... |
01591b7f547a26c7807a2bde686486dd0545c382ab7b9a5fb398d7d31cdb0c31 | MATLAB | 519 | 24 | function [params, precomputedPortion] = scaleWB2(params)
% i.i.d non-mean Gaussian over spike history coefficients & constant
K = size(params.B,1);
w_sig_idx = 1;
b_sig_idx = 2;
H = double(params.H);
log_w_sig = H(w_sig_idx);
log_b_sig = H(b_sig_idx);
w = double(params.W);
precomputedPortion.w_sig = exp(log_w_si... |
488d745edaf091d8d6b213f8b4370a1b79145e0e1c43f650616d3a3f7bafe865 | MATLAB | 520 | 31 |
function FormatTableToTxtFile(t, path, varargin)
% Write table t to file path
p = inputParser;
p.KeepUnmatched=true;
addOptional(p, 'Append', false);
parse(p,varargin{:});
formatted = FormatTable(t, varargin{:});
formattedJoined = strjoin(formatted, '\n');
[~, ~, ext] = fileparts(path);
if isempty(ext)
path ... |
33a37d7f6b545593ebba8e1e8260570a01fd2fd3b86367c5858e8dd0c57809ed | MATLAB | 522 | 25 | function SaveClassifier(self)
if isempty(self.Network)
fprintf('No classifier has been trained!');
return
end
t = now;
d = datetime(t,'ConvertFrom','datenum');
d.Format = 'yyyy-MM-dd_HH-mm-ss';
destFolder = fullfile(self.ProjectPath, 'classifiers', char(d));
mkdir(destFolder)
if self.VerboseLevel > 1
fp... |
3fea9a439f3ce2ad0df2c1a25a46bc027dbba8fd87de23d763b1cf604fd339c3 | MATLAB | 524 | 11 | function filenames = listDirectory(dirPath)
%LISTDIRECTORY Lists all folders in the `dirPath` that might contain stimuli (not train/test/image folders).
stimuliSubfolders = dir(dirPath);
folderNames = {stimuliSubfolders.name};
isFolder = {stimuliSubfolders.isdir};
isFolder = cell2mat(isFolder);
filena... |
5853a740698b887dd9b7dfca33da9aa2d5e0d41491667775701c52764ec41e8d | MATLAB | 524 | 14 | function [nifti_paths] = get_nifti_folders()
%GET_NIFTI_FOLDERS Get the directory of nifti folders
sub_1_dir = {'subcortical', 'cortical'};
sub_2_dir = {'bilateral'}; % {'left_hem', 'bilateral'}
nifti_paths = cell2table(cell(length(sub_1_dir), length(sub_2_dir)),...
'RowNames', sub_1_dir, 'VariableNames', sub_2_dir... |
a3e91386737f00963329907c4238159305a5b6580ea6e62cc29d178f76910b56 | MATLAB | 525 | 22 | function pshape = slice_geom(tri, z, angleX, angleY)
arguments
tri
z (1,1)
angleX (1,1) = 0 % deg
angleY (1,1) = 0 % deg
end
roundPrec = 6;
planeP = [0 0 z];
x = cosd(angleX);
y = cosd(angleY);
planeV = [x y sqrt(1-x.^2-y.^2)];
segments = generic_cross_section(tri, planeP, planeV, roundPrec)... |
ddd8c041fb59357065ebbe95cf2c1eddf2e760cb01aaff340ba1fd0aad981f8a | MATLAB | 525 | 26 | function [ BoundingBox ] = AddBoundingBoxes( Boxes )
%ADDBOUNDINGBOXES Given a matrix of concatenated bounding boxes, add them together
%Boxes =
% [MinX1 MinY1 MinZ1;
% MaxX1 MaxY1 MaxZ1;
% MinX2 MinY2 MinZ2;
% MaxX2 MaxY2 MaxZ2;
% MinX3 MinY3 MinZ3;
% MaxX3 MaxY3 MaxZ3;]
[nRows, nDim] = size(Boxes);
iMins = 1:2:... |
3533203bfae0d83f43f3b99e41a7db6e5ae56903e1cac7e775ea3c465f3ec14d | MATLAB | 526 | 16 | function dsetTag = find_dset(FEM, solTag)
% Solution can have an existing empty dataset (isEmpty is true), in that case do not return it:
if FEM.sol(solTag).isEmpty()
dsetTag = [];
return;
end
solinfo = mphsolinfo(FEM, 'soltag', solTag);
dsetTag = solinfo.dataset;
if isempty(dsetTag)
% This happens... |
38d85b6c9b9bdc798132cebe7155e01344819d463400c8edd10c06db77cd913e | MATLAB | 527 | 25 | function ds = DB2dataset(dbquery)
% ds = DB2dataset(dbquery)
%
% Converts the results of a mysql search query to dataset format.
%
% Requires Statistics toolbox
%
% Daniel.Stolzberg@gmail.com 2014
narginchk(1,1);
assert(ischar(dbquery),'Input must be a string.');
t = mym(dbquery);
if isempty(t), ds = ... |
ee642c74ed34dfad20b23e819aa7754e37c1d48c608c878916da5d5624fdc9ef | MATLAB | 528 | 27 | function W = generate_SingleMatrix(A,n_perc)
fc_mat = A;
% keep only positive values
fc_mat = fc_mat .* (fc_mat > 0);
fprintf('- top percent\n')
fc_mat = fc_mat .* (fc_mat > repmat(prctile(fc_mat,n_perc,2),1,size(fc_mat,2)));
fc_mat(fc_mat<0) = 0;
fprintf('- kernel \n')
W = normcorr(fc_mat', fc_mat');
W = sparse(do... |
fa32621e716d81e54078b5eb2b09952b3cab91ff231b31e66648a4a4ca028f7e | MATLAB | 528 | 89 |
function index = get_index;
IDX1 = [11
18
31
13
19
17
26
27
3
23
15
25
2
22
9
21
30
28
7
24
4
20
10
12
6
16
5
32
8
14
1
29
33
34
36
37
38
39
42
40
41
35];
IDX2 = [60
67
80
62
68
66
75
76
52
72
64
74
51
71
58
70
79
77
56
73
53
69
5... |
4254b1fbb068fb8ec5fc1605793b88ea3e0eb30ecafb8cce287c9f6c46af9677 | MATLAB | 529 | 16 |
function erpsinglecolorbar(haxes, hcolorbar, nlat)
if isempty(hcolorbar) || ismember_bc2(0, hcolorbar)
fprintf('erpsinglecolorbar() got an invalid colorbar handle...\n');
return
end
%
% When single colorbar is requiered (custom scale)
%
cbpos = get(hcolorbar, 'Position');
cbwidth = cbpos(3); % as c... |
0e9ed6044c5c4883ee5b0d9f7e4436cf89db2dbaf592e28be6db22537c3d8778 | MATLAB | 530 | 21 | function xydiff = anglesubtract(x, y, angleFlag)
% Subtracts the matrix y from the equally sized matrix x and returns a
% value between -pi and +pi. This is valid if x and y both contain angular
% data in radians. If angleFlag == 0, return a non-angular subtraction.
if nargin < 3
angleFlag = 1;
end
if angleFlag =... |
b8c98e270fea8f00b4ecc6c5dca7adbedd15807a4677099e97723622a6b5ce6c | MATLAB | 530 | 16 | % part of https://github.com/LudgerS/MRSartifactRemoval
%
% see https://en.wikipedia.org/wiki/Dawson_function
%
% dawson(z) = sqrt(pi)/2*exp(-z^2)*erfi(z)
% = -i*sqrt(pi)/2*exp(-z^2)*(1 - exp(z^2)*w(-z))
% = -i*sqrt(pi)/2*(exp(-z^2) - w(-z))
%
% where w(z) is the Fadeeva function
% implem... |
d6026a0fc61e0bde0918a48a76aa1ca6aa949553e184d542702cc89edce44e10 | MATLAB | 530 | 25 | %% Connect to database
DB_Connect;
%% Display researchers
mym('SELECT * FROM db_util.researchers')
%% Add researcher
NAME = 'First Last';
INITIALS = 'FL';
EMAIL = 'first.last@lab.com';
mym(['INSERT db_util.researchers (name,initials,email) ', ...
'VALUES ("{S}","{S}","{S}")'],NAME,INITIALS,EMAIL... |
f0268be7aae3118044b994eac2a5f2a34c6a1b1554ed7567425e143ff0a3a1c8 | MATLAB | 530 | 21 | function plotSpectrogram
global DA gf
axes(handles.axes2)
cla % clear all current objects
L = invoke(DA,'GetTargetVal',sprintf('%s.stimNPoints',gf.stimDevice));
y = invoke(DA,'ReadTargetVEX',sprintf('%s.Sound_data%d',gf.stimDevice,gf.side),0,L,'F32','F32');
NFFT = 2^nextpow2(L);
Y = fft(y,NFFT) / L;
f = (gf.f... |
709e6672cfa48d93eca674b5e5163089c016895f0509966e5f71d9c587814ebc | MATLAB | 534 | 20 | %% AFFECTS ALL UNITS OF ALL TANKS
%
% Update units table so that units with low spike counts are marked as not
% "in_use". This is useful to hide relatively unresponsive units from the
% DB_Browser GUI and also from custom batch processing scripts.
%
% DJS 2015
units = mym('SELECT id,unit_count FROM units');
ind = u... |
3b002d36ad83f6d1ad6ad6bacfd6f4cd7f15d2b473e359238b658d0ab4270e3f | MATLAB | 535 | 13 | function c0 = is_sodium_channel(x, y, z, G, dy_end)
%c0 = is_sodium_channel(x, y, z, G, dy_end)
dz_end = dy_end;
c0 = (x >= G.Li).*(x <= G.Li+G.Lm).*...
(y > G.Na_channel_start_y-dy_end/2).*(y < G.Na_channel_end_y+dy_end/2).*...
(z > G.Na_channel_start_z-dz_end/2).*(z < G.Na_channel_end_z+dz_end/2) + ...
... |
cf90f98a62da01007bc58c27b4b9feac2c7f249571b3db646f998d9746072e3a | MATLAB | 535 | 11 | function [] = buildGMLMCUDALibrary(lib_num)
if(nargin < 1)
kgmlm.CUDAlib.compileCUDAMexLibs(); %compiles the c++/CUDA code using a direct call to nvcc (note: this code is not matlab dependent)
kgmlm.CUDAlib.compileCUDAMexFunc(); %compiles the MEX API functions that call the GMLM CUDA code
kgmlm.CUDAlib.lin... |
984a65f1b1e9bc697f0133e68651f1793d76675b07577f00af281220b57a8fe3 | MATLAB | 537 | 15 | function tpfileparams =tpfnameparams(dirname,channel,params)
% TPFNAMEPARAMS - Returns any parameters that might be needed to create filenames
%
% TPFILEPARAMS = TPFNAMEPARAMS(DIRNAME,CHANNEL,PARAMS)%
%
% Examines the directory DIRNAME and returns any information that would be
% required for the program to open... |
dbbbf63f46d239f34e87598678745a5120ad2fa91907e73b735c2de8a17aff5c | MATLAB | 537 | 21 | function fs_write_Y(Y,mri,fname)
% fs_write_Y(Y,mri,fname)
%
% Writes volume Y to a Freesurfer's .mgh or .mgz data file.
%
% Input
% Y: Data matrix or vector.
% mri: Mri structure (read with fs_read_Y).
% fname: Output file name.
%
% $Revision: 1.2 $ $Date: 2015/01/06 17:14:50 $
% Original Author: Jorge Luis Bernal... |
f5ca03719edcf0a838b12a665ba3c5c492320bc844266dcdc2ecdcd7dc4ec26e | MATLAB | 537 | 20 | function [ RotMat ] = RotationMatrix( angle, axis)
%RotationMatrix Return a matrix that rotates points around an axis by the specified angle
iX = 1;
iY = 2;
iZ = 3;
P = [axis(iX) * axis(iX) axis(iX) * axis(iY) axis(iX) * axis(iZ);
axis(iX) * axis(iY) axis(iY) * axis(iY) axis(iY) * axis(iZ);
axis(iX) *... |
3c54da1bb1fd9fe52bced9948d7bea2181e2496dddc3f683a4dd840d310f564b | MATLAB | 538 | 19 |
function erpcom = f_erp_save_history(erpname,fname,pname)
% fname = [fname ext];
erpcom = sprintf('%s = pop_savemyerp(%s', 'ERP','ERP');
if ~isempty(erpname)
erpcom = sprintf('%s, ''erpname'', ''%s''', erpcom, erpname);
end
if ~isempty(fname)
erpcom = sprintf('%s, ''filename'', ''%s''', erpcom, fname);
end
if... |
073450491cd46172cd587c867c9cb9abe7787a09889d3fae70c540394c3c2f9d | MATLAB | 539 | 13 | function TPPreviewImageFunctionListDeleteItem(i)
% TPPREVIEWIMAGEFUNCTIONLISTDELETEITEM - Delete a function from PI function list
%
% TPPREVIEWIMAGEFUNCTIONLISTDELTEITEM(ITEMINDEXES)
%
% This function removes all PreviewImage functions with index values in
% ITEMINDEXES. For example, pass [1 2] to remove the firs... |
c298cfcb9b6bab4993b15e79854eb76500a964037d2b77e45e1a786f87885b9a | MATLAB | 539 | 17 | function [ dpDiff, cDiff ] = dprimeDiffFromBinary( isHit1 ,isHit2, isFalseAlarm1, isFalseAlarm2 )
%DPRIMEFROMBINARY Summary of this function goes here
% Detailed explanation goes here
hitRate1 = sum(isHit1)/size(isHit1,1);
falsAlarmtRate1 = sum(isFalseAlarm1)/size(isFalseAlarm1,1);
[dp1, c1] = getdprime(hitR... |
03cc2c808c2ea9089804fd394241ee6075cf9e5b124f93cfd96e252dfe27e0a3 | MATLAB | 541 | 18 | %% Merge two structures with matching fields into a new struct
% The resulting structure contains all the same fields and entries, but as
% a 1x1 struct.
%
% 6 December, 2021
function mergedStruct = mergeStructs(struct1,struct2)
fields = fieldnames(struct1);
for i=1:length(fields)
if isstruct(... |
375abd11a6f1c1321c955bcbc592065b4e144edf8c25d3bb40d54dc3af49b1e4 | MATLAB | 541 | 15 | function pce_list = compute_pce_with_fingerprint(res_list, fp)
% For each residual in a list of noise residuals, compute its pce correlation with a fingerpint.
% INPUT:
% res_list A list of residual file paths
% fp the fingerprint
% OUTPUT:
% pce_list a list of PCE values
pce_list = zeros(1, ... |
48f0b8ec90f93db69a5bfa8d72292590e1de93cf7619b6496cd6911ee6f92593 | MATLAB | 543 | 26 | function fncdirs = getFncDirs(niipath)
% fncdirs = getFncDirs([niipath])
%
% Returns valid functional directories
%
% Daniel.Stolzberg@gmail.com 2016
if ~nargin
niipath = pwd;
if ~strcmpi(niipath(end-2:end),'NII')
niipath = fullfile(niipath,'NII');
assert(isdir(niipath),'Unable to find NII pat... |
a79e954751f47a41b8988d860d684d6cccef31bb5f2db861f2f82a993052e5a7 | MATLAB | 543 | 27 | function copyPrairieViewData(oldtarget, newtarget, ignoredriftcorrect, doit)
if nargin<3,
ignoredriftcorrect = 0;
end;
if nargin<4,
doit = 0;
end;
d = dir([oldtarget filesep '*']);
for i=1:numel(d),
if ~d(i).isdir,
if ~strcmp(d(i).name,'driftcorrect') | ~ignoredriftcorrect,
fname_source = fullfile(oldtarget,... |
a357ac3f93aeb929558b8eb6f9c2f95cefc92ebd0b9efee4c311d003731459dc | MATLAB | 544 | 19 | function scalar = ScalarForUnitConversion( source_units)
%SCALARFORUNITCONVERSION Given metric units, returns the scalar to convert
%to meters
scalar = 1;
if strcmpi(source_units, 'nm')
scalar = .000000001;
elseif strcmpi(source_units, 'um')
scalar = .000001;
elseif strcmpi(source_units,... |
86e3a200d47f422a21d5c720467ed691d2dd3c23d8c49bf58116ae19ca53c57b | MATLAB | 545 | 22 | function M = Qdec2num(Qdec)
% M = Qdec2num(Qdec)
%
% Attempts to convert the two dimensional cell string array Qdec to numeric
% matrix M.
%
% Input
% Qdec: Two dimensional cell string array of Qdec data (eg. read with
% fReadQdec).
%
% Output
% M: Numeric matrix (without the name of the variables).
%
% $Revision: 1.2... |
f506192d48e82e2529ca751cbde26fce2558ccd5aecfcd47f7ec52e8ee9ae8ee | MATLAB | 548 | 20 | function refdirname = analyzetpstack_getrefdirname(ud, dirname)
%dirname, getpathname(ud.ds),
namerefs = getnamerefs(ud.ds,dirname);
match = 0;
for i=1:length(ud.slicelist),
nr = getnamerefs(ud.ds,ud.slicelist(i).dirname);
mtch = 1;
for j=1:length(nr),
for k=1:length(namerefs),
mtch=mt... |
47b60d10058d6e8e70d73dbb3bc277bfc5ec291869b7b906bd6cb6fb93b4626e | MATLAB | 549 | 24 | function [ Faces ] = FlipFaces( Normal, Verts, Faces )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
for(iFace = 1:size(Faces,1))
iA = Faces(iFace,1);
iB = Faces(iFace,2);
iC = Faces(iFace,3);
A = Verts(iA,:);
B = Verts(iB,:);
C = Ve... |
19939ea365a807ee4dfb4b8287863018697d4ed8e9b0c84b9cd09c1f1c0f49fb | MATLAB | 551 | 27 | function [mse,rmse] = compute_mse_rmse(x,y)
% Compute mean squared error and root mean squared error between vector x
% and y
% Input
% - x, y : vectors of same length
% Output :
% - mse : mean squared error
% - rmse : root mse
[x,Sx] = make_col_vector(x) ;
[y,Sy] = make_col_vector(y) ;
if max(min(Sx),min... |
8f839f5a76f8fb72368bce6381cfda49600e61ebca79248a08d833c6b52b6a34 | MATLAB | 552 | 25 | % PURPOSE: build the default Classic ERPLAB working-memory structure
%
% FORMAT:
%
% s = erplab_default_memory_struct(mshock)
function s = erplab_default_memory_struct(mshock)
if nargin < 1 || isempty(mshock)
mshock = 0;
end
erplab_default_values
s = struct('erplabrel', erplabrel, ...
'erplabver', erplabver... |
3c7c25eabf3a16a0ca7cc94283a629a18dfd1bc1199bb2583aa5784f39e1b08c | MATLAB | 553 | 19 | function h = setFigureHandle(h, x_width, y_width, margin,num_axes)
% Sets handle properties according to figure size
% INPUT: h: Figure handle
% figure size displayed on screen
real_x_width = x_width*num_axes;
set(h, 'Units','centimeters', 'Position',...
[0 0 real_x_width+(2 * margin * num_axes) y_width+2*margi... |
fd0da1d781e64b2c446d66c87e8cdf6c4c506828b6dc48e6caa10134564bee34 | MATLAB | 553 | 28 | %%
cd(dataPath)
load(fileNames(len).name)
%%
RandTrials = StoreType==2;
Predict = StoreType ==1;
ControlPredict = StoreType ==3;
Expected = [1 diff(StoreX2(Predict))];
Sequence = StoreX2(Predict);
ExpectedA=abs(Expected);
AlwaysZeros = sum(sum(Store,1),3)==0;
Store= St... |
bb5d9f28634268fe470af2abc1ebee370c207610c8701d8b9de0dcfaf95864d0 | MATLAB | 554 | 14 | function [x, y, z, r, s] = get_fib_geom(fibers, fibId)
% GET_FIB_GEOM returns the geometrical data of a fiber from fiberPop
% COORDS = GET_FIB_GEOM(fiberPop, fascId, popId, fibId) returns a list
% with 3d coordinates, radius and longitudinal shift of the fiber with ID
% fibId from the population with ID po... |
4e2c5a4f59c0db88de245fdc4379d8f79e9ce1ef3be37fe64a2ee98d1565437f | MATLAB | 557 | 36 | clear all
close all
clc
load('../../data/Streamline_60_group.mat');
N = 40;
D = 0.25;
M = round(D*N*(N - 1)/2);
w = normrnd(0.5,0.15,M,1);
w(w < 0) = -w(w < 0);
K = 4;
G = N/K;
p = 0.8;
A = zeros(N);
ci = repmat(1:K,[G,1]);
ci = ci(:);
for i = 1:M
[u,v] = find(triu(A == 0,1));
idx = (v - 1)*N + u;
end
%
% ... |
f63e0d2b82333889542bbc00498c7b5a7a15db594e05aaa4840024fa5e51ac77 | MATLAB | 561 | 10 | % REMOVE BAD CHANNELS - LOW SIGNAL Formula %
function low_sig_range_all_channels_val_logical = bst_ast_remove_bad_channels_low_signal(all_amp_data)
%take out any channels with low signal more than 10% of the trials
low_sig_range_all_channels_val = all_amp_data(3:end,2:end) <= 40;
low_sig_range_all_channels... |
ff4167aabf0ec6d27ca89fd21c7c42e9321dbb8e33c045c6e1e5a74550d5cfb2 | MATLAB | 561 | 12 | function [session_info] = get_session_info(session_str)
%GET_SESSION_INFO Get session information from the folder name string
session_tokens = cellfun(@(x) regexp(x,'session(\w*)_(\w*)', 'tokens'), ...
session_str, 'UniformOutput', false);
session_info = cellfun(@(x) {str2num(x{1}{1}), x{1}{2}}, ...
session_tok... |
931f73b8d535aeda2e727e17e9ca7bda467faa0f3c23234b060ac4be54c743d0 | MATLAB | 563 | 17 | function recruitmentCurve = logistic_recruitment_curve(Q, recruitment)
errFun = @(k_x0) sum((logistic(k_x0(1), k_x0(2), Q) - recruitment).^2);
k_x0 = fminsearch(errFun, [1 1]);
Charge = linspace(0, 1/k_x0(1)*12)';
Recruitment = logistic(k_x0(1), k_x0(2), Charge);
[Recruitment, iUnique] = unique(Recruitment); % remove... |
0ec633d57bd8994093ee72c358a9e27d16cd434faf156f5f023839487f7f2e66 | MATLAB | 564 | 20 | function maxQ = get_max_threshold(arg, quant)
% Can get as input the model or the already loaded fiberActiveAll
% the second argument (quant) is optional
if iscell(arg)
fiberActiveAll = arg;
else
fiberActiveAll = load_activation_all_AS(arg);
end
fiberActiveAll = vertcat(fiberActiveAll{:});
if nargin >... |
ebcc841ca8fcac9f1954f623a5d73f97ae876805161337ec271ee29915485f9b | MATLAB | 565 | 14 | util.clearAll;
beta = util.load.beta_table();
%% Get the first three letters representing the animal
only_animal_idx = char(beta.animal_idx);
only_animal_idx = categorical(cellstr(only_animal_idx(:,1:3)));
beta = addvars(beta,only_animal_idx,'Before','animal_idx');
%% write beta table to mat and csv files
outdir = fu... |
3d8982f6aa0f61a315fc3921ffaa75773fd7c04997dfbbed6496358e05aa3a46 | MATLAB | 566 | 19 | % PURPOSE: Loads current ERP structure (if any) from de the workspace.
% Otherwise, load ALLERP(CURRENTERP); Otherwise ERP = [];
%
% To avoid clearing an already filled ERP structure after an interrupted
% process (for instance, after an error)
%
% *** This function is part of ERPLAB To... |
958a445f0f945799a9024ec31ff1fb0715c893a767c0b1db5f768cedb024fc75 | MATLAB | 566 | 14 | function [most_consistent] = get_frequent_partition()
%GET_FREQUENT_PARTITION Summary of this function goes here
% Detailed explanation goes here
% read the communities
module_csv = fullfile(util.get_paths().python_datadir, 'repeat_modularity',...
'unique_partitions.csv');
module_idx = readtable(module_csv,'ReadR... |
7ee18d579a869c7c3ae73626e63b568e24ce7b16fde28a367a05f06d542e9af8 | MATLAB | 568 | 26 | function [TheoryWaveVol,TheoryWaveVol_largeWave]=speed_by_LR(k,alpha,f)
% compute theoretical wave speed by linear regression
% 1. use the whole range
q=k/(2*pi);
Y=f';
A=[ones(length(q),1),q'];
sig=max(abs(alpha)); %
w=exp(-alpha.^2/(2*sig^2))';
A=w.*A;
Y=w.*Y;
b=(A'*A)\(A'*Y);
TheoryWaveVol=-b(2);
% 2. only use the... |
3ef008bb3d1af0f1cd389d9f7c67fbfacf8dcf016720566cc6ebd4c2aae7bdf6 | MATLAB | 569 | 25 | function theta = SCM_fwdSim(Ts,T0,a,zeta,theta0,N)
%%% 26-01-23 first commit
%%% iterative simulation of the sine circle map with
%%% zeta = dithering level
%%% Ts = average stimulation period
%%% T0 = period corresponding to the natural frequency
%%% a = stimulation amplitude
%%% N = number of stimulation pulses ... |
84cbc94deae2ecaec580a3576dc299121d15a862b26c42170caf98a6e141d870 | MATLAB | 569 | 18 | function [ MappedVerts, MappedFaces] = RemoveUnusedVerts( Verts, Faces )
%REMOVEUNUSEDVERTS Given a list of verticies and faces, returns a list
%of verts with unused verticies removed and face indicies adjusted
UsedVerts = unique(Faces); %Returns sorted list
UnusedVerts = setdiff(1:size(Verts,1), UsedVerts);
... |
a6ddc9fe5482f2584ae732a063522d21514b5ebf8ac3bfc13654f42dbb5a7310 | MATLAB | 569 | 22 | function maximize(fig)
% MAXIMIZE Size a window to fill the entire screen.
%
% maximize(HANDLE fig)
% Will size the window with handle fig such that it fills the entire screen.
%
% Modification History
% ??/??/2001 WHF Created.
% 04/17/2003 WHF Found 'outerposition' undocumented feature.
%
% Original... |
d27f1c74f5f7db2548ddf6b467d3b8b880b39540fb9d250cec5c3c9a1f8491ff | MATLAB | 569 | 21 | function [ out_struct ] = readin_mammal_dat(filename)
if isfile(filename)
ll = load(filename) ;
else
error('file does not exist')
end
% spatial
out_struct.dist_mat = squareform(pdist(ll.cents)) ;
out_struct.leng_mat = ll.LmatT ;
out_struct.node_adj = get_seg_spatial_adj(ll.seg,1:200,6) ;
out_struct.cents =... |
05e8cf0b9ed4a58f73f6e4798d1ed5d86f89ecb01e92cd512ad62a1b7975bcb3 | MATLAB | 574 | 28 | %% Create folder structure
S = {'BASS','BLACKFOREST','CC','LEIA','LUKE','MARIE','MINNOW','PAUL','HALIBUT','GEORGE','TROUT','BISCOTTI'};
G = {'NH' 'ED' 'ED' 'ED' 'NH' 'NH' 'NH' 'NH' 'ED' 'ED' 'ED' 'ED'}; % groups
C = {'RSS'}; % conditions
for i = 1:numel(S)
r = [G{i} '-' S{i}];
if ~isdir(r), mkdir(r); end
... |
6b90b49fec2ccf6f807f10406d82052049c64279d3843ddacd18d5afd8f0348f | MATLAB | 575 | 23 | % Splits a string into a cell array of strings.
%
% Input arguments:
% string:
% a string to split into a cell array
% adjoiner:
% string separating each neighboring element
%
% See also: strjoin
% Copyright 2008-2009 Levente Hunyadi
function strings = strsplit(string, adjoiner)
if nargin < 2
... |
a13efebfc0f01fcb86312a1a41647b9819e5d348ae80b6add1e0dce00ccedeef | MATLAB | 575 | 19 | function motif = one_neuron_motif_classification(n1, n2, t1, t2)
% All neurons are the same
% Assume t1 <= t2
vec = [0,t1,t2];
n_distinct_times = length(unique(vec));
if n_distinct_times == 1
% All neurons and times are the same
motif = 1;
elseif n_distinct_times == 2
... |
f3d69654d9b0eb4486bcba8816a5cf7f9e5bbd9bb1f0132a268d613da93e6eec | MATLAB | 576 | 26 | function self = LoadSavedClassifier(self, varargin)
parentFolder = fullfile(self.ProjectPath, 'classifiers');
if nargin == 1
subfolders = GetValidSubFolders(parentFolder);
version = subfolders.name{end};
else
version = varargin{1};
end
srcFolder = fullfile(parentFolder, version);
if ~isfolder(srcFolder)
... |
ffb5f2df37574548b98ae6aff2f21aaeb34d8b76a4357e3540a299ff725c6b37 | MATLAB | 577 | 11 | function [stimPatch] = plotRegionForStimulus(ax, stim_on, stim_off, y_0, y_1)
stimPatch = patch(ax, [stim_on stim_on stim_off stim_off], [y_0 y_1 y_1 y_0], [0 0 0]);
plot(ax, [stim_on stim_on ], [y_0 y_1], ':k', 'linewidth', 0.5, 'HandleVisibility', 'off');
plot(ax, [stim_off stim_off], [y_0 y_1], ':k', 'linewidth',... |
26cd6e42f2a639f2606e7609f06da7faa84650f881db1f7390a91ed5b8d3c593 | MATLAB | 578 | 21 | function [Mask] = create_mask(mask,signal_size)
% Create mask using image-analysis tools
% % Convert the mask into a logical one
mask = ~isnan(mask);
% Find pixels that are connected to one another
B = bwconncomp(mask,8);
% Select only parts that are sufficiently large
MASK = cellfun('length',B.PixelIdxList)> signa... |
99da6f9e1e05d7978cbc26c44ab16c69a2a1cc064ce639c5851c4b87413b1e08 | MATLAB | 579 | 24 | function out = tongueMask_slopeBased(w,p,q,tol_w,tol_dw,df,spanFact,method)
%%% mask for Arnold tongue p:q based on rotation number w
%%% (see Methods section of the paper for more details)
%%% 26-01-23 first commit
[n_a,n_f] = size(w);
w_sm = NaN(n_a,n_f);
dw_sm = NaN(n_a,n_f);
dw_sm(:,1) = zeros(n_a,1);
dw = Na... |
c079b7765d8051d2f763493500cd5aa51ede243d841ac632fb82f30b9ec4ded9 | MATLAB | 581 | 23 | function create_logfile_SanesLab
%Custom function for SanesLab epsych
%
%This function creates an log file for documenting errors and other
%important information.
%
%Written by ML Caras 7.28.2016
global GLogFID GVerbosity CONFIG
GVerbosity = 2; %see vprintf.m for more info
%Close any existing log files
if ~isempty... |
15c1aec7421459ea8abec966f2ff36c0e6cd9acdd7d07f1d873f85ba11b068e5 | MATLAB | 586 | 20 | function tpfileparams=tpfnameparams(dirname,channel, params)
tpfileparams.extension = '.tif';
fname = dir([dirname filesep '*_t*1.tif']);
if isempty(fname),
tpfileparams.extension = '.TIFF';
fname = dir([dirname filesep '*_t*1.TIFF']);
if isempty(fname),
tpfileparams.extension = '.tiff';
fname = dir([d... |
3ca62977a445a8f4277ea055af5f0425cc9e31ed57c98d28680eb751005d8974 | MATLAB | 587 | 16 | function [regions_T] = select_regions(T, region_names, hemisphere)
%SELECT_REGIONS select a set of regions within a hemisphere in the beta
%data table
% INPUT:
% T: the beta data table with region_names and hemisphere information
% region_names: a cell string array with the name and order of ROIs
% hemisphere: th... |
c9ca923ab3168c69844a959e5d159c67d628d2b2a25254237da80bcf5ab87a31 | MATLAB | 587 | 20 | function [ dataSmooth ] = gaussSmooth( data, Fs, sigma_ms )
%GAUSSSMOOTH Smoothes inputdata with sampling rate Fs along first dimention with a gaussian
%kernel of sigma milliseconds
%
% Mar 2021: modified to use smoothdata.m, P. Jendritza
sigma_s = sigma_ms/1000; % one sigma in seconds
gCut = 2.5; % gauss window is ... |
0e2757a880b9c03241d0b3de1c7589f0bf06eba2c09294769c3a0b439b36687b | MATLAB | 588 | 19 | function motif = one_neuron_motif_classification_3D(x1, x2, y1, y2, t1, t2);
% All neurons are the same
% Assume t1 <= t2
vec = [0,t1,t2];
n_distinct_times = length(unique(vec));
if n_distinct_times == 1
% All neurons and times are the same
motif = 1;
elseif n_distinct_times... |
1750d3860fc760d9a17e1284e9d1af01db7a539948faf3fd78021940de108b90 | MATLAB | 588 | 18 | %% Batch offlineSpikeDetect
tank = 'D:\KingKong_Cloud (HIDEME)\BIG_DATA\ChronicEphys\HANSOLO\HANSOLO_20160519';
blocks = TDT2mat(tank);
minSpikesPerSecond = 1;
%%
for b = blocks
fprintf('Processing ''%s'' of tank ''%s''\n',char(b),tank)
d = TDT2mat(tank,char(b),'NODATA',true,'VERBOSE',false);
d = datevec... |
0124e555765cc1379420cec99c53a1a4a5339af03d15225046278e6bd8474496 | MATLAB | 592 | 37 | function h = drawPerformance_bar(X, ax, color)
if isempty(X)
h = nan; return
end
% Specify required number of stimuli
Nt = 6;
% Get signal levels
attns = unique(X.Atten);
nAttn = numel(attns);
% Preassign
N = zeros(1, nAttn);
Y = zeros(1, nAttn);
h = nan(1,nAttn);
% Get performance
for j = 1 : nAttn
r... |
e7c8dd44b17178491c7b37fc3781229d3607ee06afe0cb156da5c2e314a23fd4 | MATLAB | 592 | 41 | function X = checkFixate(FASTRAK, initBuffSize)
% [X,fixedPoint] = checkDuration(currentValue, [initBuffSize])
%
%Takes in the current region number and adds it to a list of default size
%20. When the list fills up with identical values X = 1.
%
%
%Stephen Gordon 2016
persistent P i
X = 0;
if nargin == 1
init... |
a35b40a2971447af38c1d24269009a8d67827fdfe36db5b56775c5b2dbcf00f2 | MATLAB | 593 | 23 | %generates dirichlet random variables
% inputs
% a = dirichlet parameters. If scalar (alpha = constant for all parts), p is the size of the vector
% n = number of draws
function r = drchrnd(a,n,p)
if(numel(a) > 1 || nargin < 3)
p = length(a);
else
a = repmat(a(1), 1, p);
end
r = gamrnd(repmat(a,n,1)... |
346b6c419cc04493d7a808bc6680dc5de7ac5eecebe2e44819ba890e9bb8abad | MATLAB | 595 | 26 | function [data,vox_add,R,Q] = reshape_data_for_multivoxfit(data,nvox)
% function reshape_data_for_multivox()
%
% reshape the input data for multivoxel SDP computation
% data must be in the shape [#meas, number_voxels]
if nargin < 2
nvox = 50;
end
% get quotient and reminder
siz = size(data);
R = rem(s... |
862583f8e841140e24f778a116b25a0525395980d0bd8eadad887ac086fb2e20 | MATLAB | 597 | 22 | function plotWaveform
global DA gf
axes(handles.axes2)
cla % clear all current objects
xmin = str2double(get(handles.xMinEdit,'string'));
xmax = str2double(get(handles.xMaxEdit,'string'));
ymin = str2double(get(handles.yMinEdit,'string'));
ymax = str2double(get(handles.yMaxEdit,'string'));
updateAxis(xmin,xmax,ymin... |
e46b39c92564fda7d2fb5448205bd54100d14aba29ad2157f0b91983f1226c8d | MATLAB | 597 | 17 | function [trialNumPerStim,labelsGroupsSnd,labelsGroupsVid,nGroupsSnd,nGroupsVid] = getTrialNumPerStim(audiovisuoCode)
% get labels
labelsGroupsSnd = unique(audiovisuoCode(2,:));
labelsGroupsVid = unique(audiovisuoCode(1,:));
nGroupsSnd = numel(labelsGroupsSnd);
nGroupsVid = numel(labelsGroupsVid);
% get number of tri... |
792704a2cd226a61f7af9caa0b4325af39c884d6e2dad4c1dbc0a92d03ad132c | MATLAB | 598 | 25 | function [f,g,nh_2] = truncatedPoissExpLL(x, y, dt)
x = x + log(dt);
if(numel(y) == 1)
y = repmat(y, size(x));
end
spks = y > 0;
rate = kgmlm.utils.boundedExp(x);
expNrate = kgmlm.utils.boundedExp(-rate(spks));
f = -rate;
f(spks) = log(1.0 - expNrate);
if(nargout > 1)
exm1 = kgmlm.utils.boundedExp(rate(sp... |
0907444fb2de8b8efdc53e4e292f299e0d1d202f4368b2ed1232808ae2544e50 | MATLAB | 600 | 23 | function output_signal = envelope(signal,samples)
% This function tries to remove the transients in the signal by enveloping
% the first and last 5ms
% envelope(signal,samples)
x = -pi:pi/samples:0;
y = 0:pi/samples:pi;
output_signal = signal;
% prepare the envelope functions
envelope_function(1:samples) = cos(x(1:s... |
8beb2f328075d940ccc8ebd4e3840ab4bde3c03275fccd69cc98384d7485f04f | MATLAB | 601 | 37 | function x = pollFastrak(s,Azi,Ele)
% x = pollFastrak(s)
%
%
% See also startFastrak, endFastrak
%
% Stephen Gordon 2016
timeOut = 2;
flushinput(s);
fprintf(s,'P');
pause(0.01)
noData = 0;
c = clock;
while s.BytesAvailable < 47
noData = etime(clock,c) >= timeOut;
if noData, break; end
pause(0.001)
end
t... |
5443d8ed60e01ee0ed1e5d54cfe255e13eb4419b5454a3bd751ef1a4f73d3489 | MATLAB | 602 | 17 | function [Y,LP]=ZeroMeanTotal(X)
% function Y=ZeroMeanTotal(X) subtracts mean from
% all black and all white subsets of columns and rows in the checkerboard pattern
% X 2-D or 3-D matrix
Y = zeros(size(X));
[Z,LP11] = ZeroMean(X(1:2:end,1:2:end,:),'both');
Y(1:2:end,1:2:end,:) = Z;
[Z,LP1... |
f3a4633a56d612cf23898e33763109c1bfc20e70b5ba1c3967816b4f4b6009d6 | MATLAB | 603 | 18 | function [trl, event] = wsws_trialfun_train(cfg)
% triggers
load(cfg.triggerfile)
% behav
load(cfg.behavfile)
event=[];
trl=[];
nTr=1;
if ~isempty(findstr(cfg.triggerfile,'S416'))
trl(nTr, :) = [round([Trai_onset(1)-cfg.trialdef.prestim*cfg.Fs cfg.nSamples -cfg.trialdef.prestim*cfg.Fs])];
else
trl(nTr, :) = [... |
1d5c327b4f6f75090ee613671c28f4d0840330dc9b329818ec59f2ce4692a07c | MATLAB | 605 | 12 | function [recrsFascAbs, recrsFascNorm] = ...
compute_fasc_recrs(fiberActive, Q)
% function handle counting the number of fibers whose threshold is
% surpassed in all current steps
threshReachedCurrStepFun = @(fascThreshs) arrayfun(@(currStep) ...
sum(currStep >= fascThreshs), Q);
% compute absolute recruitment ... |
df49caa46c854ef3efab21b745f4955a5012c4fead109ff86e2c81bc68e17f67 | MATLAB | 607 | 18 | function Surfaces = make_sphere_surf(coords, diameter)
% Create sphere surfaces from an numeric array of coordinates
% Author: Ali Karimi <ali.karimi@brain.mpg.de>
num_spheres = size(coords, 1);
Surfaces = cell(num_spheres, 1);
for i=1:num_spheres
% Get unit sphere
[X, Y, Z] = sphere(30);
cur_surf = surf2pa... |
80f8ba04451d72d7d2316c882c9abd50d1cc149c4fe08f41e98b416b0cd4e897 | MATLAB | 608 | 36 | function x = pollFastrak_InTrial(s,Azi,Ele)
% x = pollFastrak(s)
%
%
% See also startFastrak, endFastrak
%
% Stephen Gordon 2016
timeOut = 2;
flushinput(s);
fprintf(s,'P');
pause(0.01)
noData = 0;
c = clock;
while s.BytesAvailable < 47
noData = etime(clock,c) >= timeOut;
if noData, break; end
pause(0.001... |
9a7868f1988782f7acb328e9519548f00bfd77fdf4e037bd46fcd53104a2c45d | MATLAB | 608 | 38 | %% PROJECT CONFIG
PROJ_DIR = pwd ; % put base path to project her
cd(PROJ_DIR)
%% add to the path
projPathDirs = {
'src'
'data'
'bin'
} ;
for idx=1:length(projPathDirs)
addpath(genpath(strcat(PROJ_DIR,'/',projPathDirs{idx})))
end
clear projPathDirs
%% setup global vars
OUTSTR = 'mamv3' ;
LOADST... |
2edf25b5d31b0250f7a83b6101d3756dd1c9b938b19b78e67d6f3f6d2542f9fa | MATLAB | 609 | 28 | %%This function is used to create/save the parameters applied in each step.
function S_OUT = createrplabstudioparameters(S_IN,varargin)
if isempty(varargin)
S_OUT = [];
return;
end
S_OUT = S_IN;
current_var = varargin{1};
current_var_field = current_var{1};
for Numoffilename1 = 1:length... |
126a950d2cfcd0a9b955886f3964cbf390c6fd53c85e6f46dc026011592a6061 | MATLAB | 610 | 11 | function [listofcells,listofcellnames,cellstructs] = analyzetpstack_getcurrentcells(ud,refdirname)
% ANALYZETPSTACK_GETCURRENTCELLS - get all cells that are 'current' in a particular directory
listofcells = {}; listofcellnames = {};
cellstructs = analyzetpstack_emptycellrec; cellstructs = cellstructs([]);
for i=1:lengt... |
a9063166b7fa536936c192051a81a6d671627d9b7ed781e8c60a155740c49e31 | MATLAB | 610 | 26 | function [closestvalue,index]=findclosest(vec,value)
if length(value)==1
vecdiff=vec-value;
index0=find(abs(vecdiff)==min(abs(vecdiff)));
if isempty(index0)
closestvalue=[];
index=[];
else
index=index0(1);
closestvalue=vec(index0(1));
end
else
for k=1:length... |
d329ebd8fbadb1db100b8a5841c8562ab8b7ec18f7522980e33d4887a0ba78d2 | MATLAB | 611 | 33 | %Boresight the FASTRAK system when the cat fixates.
function boresightFASTRAK(FASTRAK)
%5th column is azimuth and 6th is elevation
x = pollFastrak(FASTRAK);
FASTRAKdata = x;
for i = 1:10
x = pollFastrak(FASTRAK);
FASTRAKdata = [FASTRAKdata;x];
end
deviation = std(FASTRAKdata);
if (deviation(5) < 2) && (dev... |
d98a0ab72b4d125ce266e0e18498ebfd5f5c05fd52b4f26c8856110ccffb94b6 | MATLAB | 611 | 19 | function[varargout] = tbattr(table)
% tbattr List columns of MySQL table [mym utilities]
% Inputs table - table name, string
% Outputs names - column names, (m*1) cell array
% types - column types, (m*1) cell array (optional)
% Example [names,types] = tbattr('project.orders')
if ~istable(table... |
02d9e2e6ffd1b5c312c2153b7e6aca9af1a2094a69b7248067bb8b71ad6de92b | MATLAB | 612 | 25 | function X = getXpred(x,lagbins,pad)
% will shape X predictor matrix with certain lags
% pad = 1 if need to pad with last/bext value, nan if want to pad w/ nan
if nargin<3
pad = nan;
end
nT = size(x,1);
nPC = size(x,2);
X = nan(nT,numel(lagbins)*nPC);
for l = 1:numel(lagbins)
if lagbins(l) < 0
pred... |
764efe53db75eea7c6b2a79cd129f439817addef7bc147265c20f63fc6d4455b | MATLAB | 613 | 29 |
function sigma=covdiag(x)
% x (t*n): t iid observations on n random variables
% sigma (n*n): invertible covariance matrix estimator
%
% Shrinks towards diagonal matrix
% as described in Ledoit and Wolf, 2004
% de-mean returns
[t,n]=size(x);
meanx=mean(x);
x=x-meanx(ones(t,1),:);
% compute sample covariance matrix
s... |
1dca4521e44d68e1ca727793388857c67c3920a53c574fd0cbdc1971a508c2d8 | MATLAB | 614 | 18 | function [beta_tbl] = avg_betas_session(beta_tbl)
%AVG_BETAS_SESSION add averages to the beta table per session
arr_vars_to_avg = {'rinse_Betas', 'high_low_betas'};
for i=1:length(arr_vars_to_avg)
cur_var = arr_vars_to_avg{i};
beta_tbl.([cur_var, '_avg']) = mean(beta_tbl.(cur_var),2);
end
cell_vars_to_avg = {'l... |
05d87cce649d2e866d2e031df9967dfd25687894a746269fe13ae3985596f7ab | MATLAB | 618 | 24 | %% GIFT Subjects
% load('gSubject.mat')
conn_preproc_dir = 'H:\DataProcessing\conn_project_170107\results\preprocessing';
d = dir(fullfile(conn_preproc_dir,'niftiDATA_Subject*.nii'));
dn = cellfun(@(a) (fullfile(conn_preproc_dir,a)),{d.name},'uniformoutput',false);
SPMFiles = struct('name',[]);
modalityType = 'fMR... |
21f858b512b8dd6524eeb2c47272eac062e9e5b5b390a22c51829424538293e6 | MATLAB | 618 | 22 | function Pa = do_sourceparcel(sFiles_in,atlas,bsdir)
Pa = [];
for iii=1:length(sFiles_in)
d = [];
clc
disp([num2str(iii),'/', num2str(length(sFiles_in))]);
tmp = load(fullfile(bsdir,'data',sFiles_in{iii}));
% tkz = tokenize(tmp.Comment,'/');
% sub_all{iii} = tkz{1};
% tmp = load('20062... |
425cc43e377930a123d64f5a362bd77ff5dcb7da33b7606f074a8d056a848864 | MATLAB | 619 | 15 | function add_bar_plot(sp, COctrl, COcool, SPctrl, SPcool, SOctrl, SOcool)
% Bar plot
myBar = @(x) mean(x).*100;
axes(sp(4))
b(1) = bar(1, myBar(SOctrl.Correct),'FaceColor','k');
b(2) = bar(2, myBar(SOcool.Correct),'FaceColor',[0.5 0.5 0.5]);
b(3) = bar(4, myBar(SPctrl.Correct),'FaceColor',... |
fea3bb2baad16f71b9f18baa48bd96266bca6f815962440af6fea4c0beb0cf22 | MATLAB | 619 | 26 | % PURPOSE: build the default ERPLAB Studio working-memory structure
%
% FORMAT:
%
% s = estudio_default_memory_struct(mshock)
function s = estudio_default_memory_struct(mshock)
if nargin < 1 || isempty(mshock)
mshock = 0;
end
% Keep Studio defaults aligned with the current runtime behavior.
erplab_default_values... |
566984647c3bc8c77e4c31874e9c2d3956dce0ba36f450bc6fb67172e2e0f1db | MATLAB | 621 | 42 | function x = boreFastrak(s, LEDuino)
% x = boreFastrak(s)
%
%
% See also startFastrak, endFastrak
%
% Stephen Gordon 2016
persistent P i
timeOut = 2;
flushinput(s);
fprintf(s,'P');
pause(0.01)
noData = 0;
c = clock;
while s.BytesAvailable < 47
noData = etime(clock,c) >= timeOut;
if noData, break; end
... |
856e7160a1cb6284818046e6ef4cc955e7d0812ed8aaac9eb9acaaf88fc476c3 | MATLAB | 621 | 26 | function Qdec2 = rmQdecCol(Qdec1,col)
% Qdec2 = rmQdecCol(Qdec1,col)
%
% Removes the specify column from cell string array Qdec1.
%
% Input
% Qdec1: Two dimensional cell string array of Qdec data (eg. read with
% fReadQdec).
% col: Column to be removed.
%
% Output
% Qdec2: Two dimensional cell string array of Qdec da... |
e7f9c460ff3226d59ad31346dfba643f968eecf1d47cba2fa06e57dff7c0c4ac | MATLAB | 621 | 45 | %%
P = 'H:\DataProcessing\PREPROC\DENOISED_DATA\wsrrmRSS_02.nii';
V = spm_vol(P);
Vd = V;
Yi = zeros([V(1).dim length(V)],'uint16');
% figure
for i = 1:length(V)
fprintf('%d of %d\n',i,length(V))
Y = spm_read_vols(V(i));
% subplot(121)
% imagesc(Y(:,:,40))
Vd(i).fname = spm_file(V(i).fname... |
93a69044c69c2c934750608986afa6702da6c95731a3ac57111c9ce83e9ec237 | MATLAB | 624 | 33 | function out = multi_median(volumes,radius,passes)
% function multi_median()
%
% reproduces the multi_median function from Dipy
%
% default values, as recommended in dipy:
% passes = 4
% radius = 4
switch nargin
case 1
radius = 4;
passes = 4;
case 2
passes = 4;
end
% i... |
372707352a34275ddd3f228dee74c7e5ffe2fe4edb9273b2dfaf2fd823af4c87 | MATLAB | 625 | 18 |
pause(2)
% Take screen capture
robot = java.awt.Robot();
pos = [320 90 900 900]; % [left top width height]
rect = java.awt.Rectangle(pos(1),pos(2),pos(3),pos(4));
cap = robot.createScreenCapture(rect);
% Convert to an RGB image
rgb = typecast(cap.getRGB(0,0,cap.getWidth,cap.getHeight,[],0,cap.getWidth),'ui... |
4c9aa76c21c4d3d31c6d9f3784c41e27f8dc65988e0ad39833c7ce7a2c6f5c72 | MATLAB | 625 | 18 | % ANALYZETPSTACK_GLOBLALS Global variables that serve ANALYZETPSTACK
%
% Globals for analyzetpstack
%
% analyzetpstack_draw_devs : a structure list of available draw devices
% analyzetpstack_active_draw_devs : a structure list of active draw devices
%
% analyzetpstack_drift_devs : a structure list o... |
c7bfe0e876e44c0325feecb8fbc3182b2ed0276a8e117966656d01ecaaea8966 | MATLAB | 625 | 13 | function [performance] = ComputePerformance(train_data,test_data,training_label,testing_label)
% class is the predicted target label from the test_data
[class,~,~,~,~] = classify(test_data,train_data,training_label);
fitcdiscr
% Checking how different the predicted label is from the actual label for
% all the test... |
a473c7979587ba420af33f32697876e5389f3f9d857595275a94ba26dd860120 | MATLAB | 626 | 31 | function out = mymprintf(sqlstring,varargin)
% [out] = mymprintf(sqlstring,[A],[...])
%
% Simple help function for MyM that incorporates sprintf functionality
%
% ex:
% theID = 3;
% out = mymprintf('SELECT * FROM mytable WHERE id = %d',theID);
%
% See also, sprintf, mym, myms
%
% Daniel.Stolzberg@gmail.com ... |
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