sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
27316bdc86f0e31e9653b71d9110c92bf0cbbf769391c917cab4ae9743b93cc3 | MATLAB | 1,065 | 41 | function [distance_1,distance_2,distance_3,distance_4,distance,touch_idx,hit]=distance_base_from_matrix(Data,idx_correct)
touch_idx=[];
hit=[];
counter=1;
idx_correct_1=Data.correct_trials;
touches_whisker=Data.touch_per_whisker(idx_correct,:,:);
Data.distance_matrix=Data.distance_matrix(idx_correct,:,:);
for tria... |
3aad3c2d0c6d7df3e0371362d737fe8a065254d6b58a45ba0d0f131410cb7354 | MATLAB | 1,065 | 32 | function TR_ExportData(File, Experiment, Type)
if Experiment.NumGrps>0
Xstr = cell(Experiment.NumGrps);
Data = cell(Experiment.NumGrps);
for g=1:Experiment.NumGrps
Group = Experiment.Groups(g).Group;
Xstr{g} = Group.Name; %sprintf('%g',g);
Data{g} = nan(Group.NumRecs,1);
for... |
9a38edaad4636df0b07000413112c0944232c0c0e42dd74edfbf99dbc706371f | MATLAB | 1,065 | 41 | % VL_DEMO_KMEANS_VS_BUILTIN
clear elaps energy ;
dimension = 128 ;
numData = 1000 ;
numCenters = 10 ;
numTrials = 10 ;
for trial = 1:numTrials
X = rand(dimension, numData) ;
tic ;
[idx, C, e] = kmeans(X', numCenters) ;
e = sum(e) ;
elaps.builtin(trial) = toc ;
energy.builtin(trial) = e ;
tic ;
... |
f6aaadbb85d62cc9ba38cd1cf6f7a3794b7617d79f9eb20c1d079e2494b2aa03 | MATLAB | 1,065 | 32 | function NS_ExportData(File, Experiment, Type)
if Experiment.NumGrps>0
Xstr = cell(Experiment.NumGrps);
Data = cell(Experiment.NumGrps);
for g=1:Experiment.NumGrps
Group = Experiment.Groups(g).Group;
Xstr{g} = Group.Name; %sprintf('%g',g);
Data{g} = nan(Group.NumRecs,1);
for... |
13b44f6116d678806e51ca7cd5ff439759139662265793577fa0c7cb94224a99 | MATLAB | 1,066 | 36 | function [] = ExtDataFig10_NT()
% Code for plotting neurotransmitter predictions in Extended Data Fig. 10a.
%% parameters
pIP10 = [13417,13038]; % pIP10 (L, R)
pMP2 = [11977,11987];
dPR1 = [10267,10300]; % dPR1
TN1A = [15521,16465,15148,12883,16207,...
16113,14581,14810,15387,17640,...
13945,14401,13928,16391,... |
28c266d82151dea254ef688300568dbe95cbb4c08babe551dc3e0fd16e955cc0 | MATLAB | 1,066 | 42 | function chr = getTrainingData(dataname)
%List of human chromosome lengths
chrLen = [249698942 242508799 198450956 190424264 181630948 170805979 ...
159345973 145138636 138688728 133797422 135186938 133275309 114364328 ...
108136338 102439437 92211104 83836422 80373285 58617616 64444167 ...
46709983 518575... |
af13c87a9f35bbdf66ef76baa0fb726adba544e911634bdac9b08846f551c54d | MATLAB | 1,066 | 28 | function status = fillPatientInformation( obj, data )
% Fill patient information
%
% Syntax:
% status = FILLPATIENTINFORMATION( obj, data );
%
% Input parameters:
% * data - data from json file(s)
%
%
% Example:
% status = FILLPATIENTINFORMATION( obj, data );
%
% Available at: https://github.com/NCN-Lab/DBScope
... |
b71f8918ef4621d1840f4d8d2a61097bf4ba4cffb170ed6b4aa2e658d7e7e254 | MATLAB | 1,066 | 30 | % This script does stl to MATLAB format conversion. Note that the double
% points are preserved! Also, performs conversion from mm to m if necessary!
% Copyright SNM 2017-2019
[~,name,~]=fileparts(pwd); L = length(name)+1;
if ~isunix
s = pwd; addpath(strcat(s(1:end-L), '\Engine'));
else
s = pwd... |
ec8e3a10bdc06c0ecb1d638a34b2e2f9f2bf3e7dd5aa65d715ae4f999939d8da | MATLAB | 1,066 | 39 | function B = mymedfilt3(A, filterSize, padopt)
% my 3D median filter without mex
if nargin < 2
filterSize = [3, 3, 3];
padopt = 0;
elseif nargin < 3
validateattributes(filterSize, ...
{'numeric'}, ...
{'real','positive','odd','integer','vector','numel',3}, ...
mfilename, ...
'[m n p]');
... |
8c063838eaad14cd8bca36865724d0b6a2679d22143e09eaed5f84d5325254cf | MATLAB | 1,067 | 19 | function scopecam_cnmfe_run( obj, session, trial )
%Remove any previous results otherwise it requires user interaction
oldCnmfeFolder = fullfile(trial.getAnalysisDirectory(), 'msaligned_source_extraction');
if isfolder(oldCnmfeFolder)
rmdir(oldCnmfeFolder, 's');
end
% Run the CNMFE
mlvid... |
cb9fe156c8615df9790aada864dc791c9dec134ec3004df92861c860a6143a19 | MATLAB | 1,067 | 42 | % mglTestFillOval: an automated and/or interactive test for rendering.
%
% usage: mglTestFillOval(isInteractive)
% by: Benjamin Heasly
% date: 03/10/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Test rendering some points.
% usage:
% % ... |
6d23e356136dba419b91608f7c0bd728917d441e7b01fde08a29d7184197757b | MATLAB | 1,068 | 30 | function binSystem = ml_bs_create(boundsx, boundsy, cm_per_bin_x, cm_per_bin_y)
% This is the first function of the bin system that should be called to
% make the structure that the other code requires. It will discretize
% the xy plane using a given bin size for each dimension.
% Get the bin ids o... |
54e099b5f7be2d54e9867aa56a9675f2f2bd279b6178f1812b0bf0038281b49b | MATLAB | 1,069 | 43 | function [D] = gretna_distance(A)
%==========================================================================
% This function is used to calculated the distance matrix of shortest path
% length between all pairs of nodes in a binary graph or network G.
% Currently, the calculation is based on a MatlabBGL function.
%
... |
6ec9cad92c87ea24e32548dd003b1cce2c76b1574ce844994ffb6af56f80f9e6 | MATLAB | 1,069 | 41 | function KSDs = gretna_KSDs(Data)
%==========================================================================
% This function is used to calculate the Kolmogorov-Smirnov distance based
% similarity among all pairs of probability distribution functions in the
% Data.
%
% Syntax: function KSDs = gretna_KSDs(Data)
%
% I... |
987d38b95e29f76eec8f7ff2fd3d2f2cfed38f77dc73577071a1032a906fa930 | MATLAB | 1,069 | 34 | % VL_DEMO_IMDISTTF Demonstrates image distance transform
% load image
im = imread(fullfile(vl_root, 'data', 'roofs1.jpg')) ;
im = im(100:200,100:200,:) ;
imSize = [size(im,1) size(im,2)] ;
% creates an edge map
edges = zeros(imSize) + inf;
edges(edge(rgb2gray(im), 'canny')) = 0 ;
% compute distance transform
[distan... |
f0c00a700f10aca1aac24de6497a32f9ddfbf3174fbef15a916ea48385da4927 | MATLAB | 1,069 | 40 | % get unit info for paper figs
clear all;
globals; initglobals;
FramesInf.act = 0;
FramesInf.noact = 0;
FramesInf.xy00 = 0;
FramesInf.removed = 0;
FramesInf.totalFrames = 0;
base_folder = 'Data\OpenField';
File = {'20160603Thalamus44_opF_W'}; Unit = [13,2];
File = {'20160730Thalamus44_opF_nW'}; Unit = [1,... |
432152c1523431f5cfe50699914b9a5bcd2ca50da9c9dfe3aa207c8185f3915a | MATLAB | 1,070 | 25 | % VL_INTHIST Calculate Integral Histogram
% INTHIST = VL_INTHIST(LABELS) computes the integral histogram for
% the label map(s) LABELS.
%
% LABELS is a [M,N,L] UINT32 array containing L label maps (one for
% each MxN layer). Each label map associates to each of the MxN
% pixels one of K labels (a value of 0 ... |
800cfaf138d2dad416d778e7e5d1259eca8e5f4477602ba61d95a11991feec75 | MATLAB | 1,070 | 48 | function h = mimage(A, range_min, range_max)
%% display montage image of 3D volume data
[ImageHeight, ImageWidth, ImageSlices, ImageVolume] = size(A);
if nargin < 1
disp('incorrect input number');
elseif (nargin == 1) && (ImageVolume ~= 3)
range_min = min(A(:)).*1;
range_max = max(A(:)).*1; ... |
4fdb433b8d15e7bd70b57fd25e33ac62cf7314122497afb1634faac28c1ae8f2 | MATLAB | 1,072 | 33 | function[]=SONTest(file)
% SONTEST tests the integrity of a SON File usinf CED's SonFix program.
%
% SONTEST(FILE)
% FILE may be a string or a file identifier
% If FILE contains a directory root but no filename or *.smr, all
% files in the directory will be tested.
% Files currently open for writing within Mat... |
5411c7c4e495836487067740c593d46edb22aeedee3b907d37c300d26d047901 | MATLAB | 1,072 | 32 | function [textureHist blobSizes] = BlobStructTextureHist(blobIndIm, colourIm, tBin)
if ~exist('tBin', 'var')
tBin = 10;
end
maxVal = 0.43; % semi arbitrary parameter denoting maximum value of gradient
% Get oriented gradients for each colour space
ogImT = cell(1, size(colourIm,3));
for i=1:size(colourIm,3)
o... |
a432e4ddf3037859182b41406f1619b40b7babbcd6175c58266394af0f983ea7 | MATLAB | 1,072 | 28 | function [pnt, tri] = icosahedron42()
% ICOSAHEDRON42 creates a 1-fold refined icosahedron
% Copyright (C) 2003, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fieldtrip
% for the documentation and details.
%
% FieldTrip is free software: you can redistribute it and/or modi... |
d2b974fc223a54c46585c73c48e856d56027b58dc9fa9b133f857730a899db4e | MATLAB | 1,072 | 22 |
function fileList = getAllFiles2(dirName, fileExtension, appendFullPath)
dirData = dir([dirName '/' fileExtension]); %# Get the data for the current directory
dirWithSubFolders = dir(dirName);
dirIndex = [dirWithSubFolders.isdir]; %# Find the index for directories
fileList = {dirData.name}'; %'# Get a ... |
f0ab5b119d262f6548206d5a95ed26ff7eb46060aab835a61c1268855789c81d | MATLAB | 1,072 | 37 | function env = getEnvelope(signal)
%GETENVELOPE get the peak of signal and concatenate them
% signal is [16,time,5]
% directly use matlab envelope may be better?
env = zeros(16,size(signal,2),5);
stimIn = 100000;
for pop = 1:16
for cond = 1:5
disp(pop);
[pks,locs] = findpeaks(signal(pop,:,cond));
if std(pks... |
7bdcfcd178ae43cd74ea7616b9928bcdc2264fe68c5d48cbd8564af09b23babb | MATLAB | 1,074 | 30 | function [ns_RESULT, nsFileInfo] = ns_GetFileInfo(hFile);
%ns_GetFileInfo Retrieves file information and entity counts
%
% Usage:
% [ns_RESULT, nsFileInfo] = ns_GetFileInfo(hFile)
%
% Description:
% Provides general information about the data file referenced by
% hFile. This information is ret... |
0eac8425a0a4c387e54dc5f9b11482e171deff7e8642a606c2dd3d27294de68c | MATLAB | 1,075 | 24 | function [cb counts] = CountVisualWordsIndex(indexIm, wordIm, numIndex, numWords)
% cb = CountVisualWordsIndex(indexIm, wordIm, numIndex, numWords)
%
% Counts the number of visual words for the visual words in wordIm.
% wordIm is an array with visual word identities. Zeros will be ignored.
% indexIm is an array wi... |
b0ab217b231193ec680b33e026507201a25d6913193b12de541b79125f0c9779 | MATLAB | 1,075 | 30 | function resF = referenceGaborFilter(gaborBank, im)
%filter image with all filters
%init
resF(numel(gaborBank)).even = [];
resF(numel(gaborBank)).odd = [];
for g = 1 : numel(gaborBank)
%normal filtering
%resF(g).even = imfilter(im, gaborBank(g).even, 'replicate', 'same', 'conv');
%resF(g).odd = imfilt... |
e7b581ef134aa8b7ea3ac2913a58d5d5f92eb9c90e47b5ac1d47117ebd68ced8 | MATLAB | 1,075 | 38 | function [dp, dpAvg] = ml_alg_popvectors_compute_dotproducts(maps1, maps2)
% Marc Normandin.
% maps1 and maps2 are (map_height, map_width, num_cells) 3D arrays.
if ~all(size(maps1) == size(maps2), 'all')
error('maps1 and maps2 must be the same sized stacks of maps.\n');
end
% Each columns ... |
806ce7554aca7bbf918439007167f5217de6feb7d2d05150d22039aa0832aeda | MATLAB | 1,076 | 42 | % mglTestFillRect: an automated and/or interactive test for rendering.
%
% usage: mglTestFillRect(isInteractive)
% by: Benjamin Heasly
% date: 03/10/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Test rendering some points.
% usage:
% % ... |
ddeed683763700859fd068eef9688dbdadc6fd84903909460cd6301e08630d63 | MATLAB | 1,076 | 40 | function [data] = om_load_sym(filename,format)
% OM_LOAD_SYM Load symmetric Matrix
%
% Load symmetric Matrix
%
% SYNTAX
% [DATA] = OM_LOAD_SYM(FILENAME,FORMAT)
%
% FORMAT : can be 'ascii' or 'binary' (default)
%
% Created by Alexandre Gramfort on 2007-11-27.
% Copyright (c) 2007 Alexandre Gramfor... |
e0014d21e17b2d1ee4cb4393e106655a23f39c2f0998600128a8bad264655f92 | MATLAB | 1,076 | 34 | function [eyeVelOut, omitCenters] = VOR_desaccadeAlt(eyeVelIn, params)
%% Filter Data
%% Band pass filter to remove 1)high freq noise 2)Our experimental signal freq
N = 3; % Filter order
fc = [10 40]; % Cutoff frequency
[bb,aa] = butter(N, fc/params.samplerate, 'bandpass');
eyeVelFilt = filter(bb,aa,eyeVelIn)'... |
56c0f345c6aae83e0681a4832622b5d061f4c3596b0f06e080435bf9c2366785 | MATLAB | 1,080 | 24 | function [boxes, blobIndIm, blobBoxes, hierarchy] = getHierarchicalsuperpixels( im )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
% Parameters. Note that this controls the number of hierarchical
% segmentations which are combined.
colorTypes = {'Hsv', 'Lab', 'RGI', 'H', 'Intensit... |
92dfc37b85d18733a3a5bb07fec4be3f0dbcd405dd3ecb2f14d9e37c5574a327 | MATLAB | 1,080 | 26 | clc, clear
% SPM12 CAT12 batch for utilising chimpanzee to human deformation map to
% deform chimp OPNMF solutions to human MNI space to conduct ARI similarity
% analyses
% working project directory %
wd = '/home/svickery/projects/chimp_human_opnmf/';
% chimp - human deformation field map location %
def_map = fullfi... |
94a3dbd890f45c9cb25282d84b78f707fb3c4986bd08e629219ee7838440b86f | MATLAB | 1,080 | 39 | function out = axes(varargin)
% When placed in the path, this function will shadow the built-in "axes"
% function. This function tests for the validity of the axes handle
% being passed to prevent a crash due when a deleted axes handle is passed.
%
% You may receive a warning regarding not shadowing built-in fun... |
c9607cf33a5ef26d96e30516241b0ebdfecb261d27b85ad956be45546bb3b061 | MATLAB | 1,080 | 39 | % addMyPaths.m
%
% function to add relevant ephys data analysis paths, including subfolders
%
% Users: change the following paths to match those on your local computer
function addMyPaths()
%% Animal Part Tracker code
APTpath = '/Users/hyang/Documents/MATLAB/APT';
addpath(genpath(APTpath));
%% P... |
6f857040dfafeb304e4cd5cfe9fa4277fc5e6ab1b1ab80ecb4a4cd802533422b | MATLAB | 1,081 | 37 | function [start_A] = generate_startcondition(n_states, n_start_condition)
%% Generate random initial transition matrices for Hidden Markov Models.
%% authors: Stefano Diomedi
%% date: 22nd February 2024
% Inputs:
% - n_states: Number of states for which to generate the transition matrix.
% - n_start_condition:... |
b0cb014d21777ea028820315672f3b81dfb01443085776568699e782628ba21f | MATLAB | 1,082 | 27 | function ret=SONWriteMarkBlock(fh, chan, buffer, count)
% SONWRITEMARKBLOCK writes data to a marker channel
%
% Implemented through SONWriteMarkBlock.dll
%
% RET=SONWRITEMARKBLOCK(FH, CHAN, TIMESTAMPS, MARKERS, COUNT)
% INPUTS: FH the SON file handle
% CHAN the target channel
% TIMESTAMPS a vec... |
db1732fbd4c7886332debdee978897056aed8096dfe3c4e8e5c2ea95e89d5b81 | MATLAB | 1,082 | 37 | function tiff_writer(outputFileName,mov,varargin)
% function Y = tiff_writer(name,mov)
%
% Code to write tiff stack.
%
% 2015 - Adam Charles
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Parse inputs and set variables
if nargin < 2
error('Need to give a name and a file to write!'... |
3328d4f64ed3805813a388ee3115199631566c3ad9dec3fb5bf0adcb1c05fe02 | MATLAB | 1,083 | 25 | function [c, s, num_c, num_s] = getSurroundings( gridx, gridy, imh, imw, patchSize, surrWidth )
% coordinates of center pixels for computing regional sum in integral image(cannot overflow)
a_c = (gridx - 1) * (imh + 1) + gridy; % sR,sC
b_c = (gridx + patchSize(1) - 1) * (imh + 1) + gridy; % sR,eC+1
c_c = (gridx - 1... |
bcb20c1d7e025a8373850b08b1bfb4a9b07650791fdb0d3fa2d57cb9b2fa66ef | MATLAB | 1,083 | 27 | function ExportImage(fig, x_size, y_size, resolution, filename, fileformat)
% This function allows to save an image by setting:
% dimensions (x_size, y_size) expressed in centimeters;
% resolution (resolution) espressed in dot-per-inch (dpi)
% fileformat is relative to file format used to save the image. Examples
% ar... |
284bc857897fcd07bb472682b4e3a88bc42d3bde3e92a3ea62871465752de3bf | MATLAB | 1,084 | 30 | function success = call_function(input_string)
% calls the function in this folder with argument in the format function;argument
% and update the appropriate logs
try
inputs = strsplit(input_string,';');
script_name = inputs{1};
folder_name = inputs{2};
job_ID = get_job_ID(folder_na... |
492d9660ef46975f0c2005376d48173708916b83e6c5fabe516e566e54d83a8b | MATLAB | 1,084 | 40 | function [] = ExtDataFig06_AveSong()
% Code for plotting the population averaged ΔF/F for pulse and sine song around song-type in Extended Data Fig. 6b,d.
%% parameters
GT = 'nsybD'; % Extended Data Fig. 6b
% GT = 'nsyb'; % Extended Data Fig. 6d
switch GT
case 'nsybD'
DataFlag = [1,1,1,1,1,0,1,1,1,1];
... |
081ad95a7b80813343987001771367cabcc3faf83c8742ab8e4fdd6b425e63d0 | MATLAB | 1,085 | 315 | POmD = [
0
1
0
1
0
0
0
2
0
0
0
0
0
0
1
1
1
1
1
0
2
0
1
1
1
1
0
1
0
1
1
0
0
0
1
0
0
1
0
0
0
1
1
0
0
1
1
0
1
0
0
1
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
... |
721947c79ba2b1bd1caf0a9c0ced300749c305b66dd3e71c86214d267cd872d3 | MATLAB | 1,085 | 34 | % jumpSegment.m
%
% usage: task = jumpSegment(task,segnum)
% by: justin gardner
% date: 04/23/07
% purpose: jumps to a segment
% usage: jump to next semgent
% task = jumpSegment(task)
% % jump to end of trial
% task = jumpSegment(task,inf);
% %... |
76a44ba44a0116078de9d1a78993d8fc9d1780ba4ae28cb14a81cdf59c6fd76a | MATLAB | 1,085 | 38 | function [n,names] = plx_event_names(filename)
% plx_event_names(filename): gets the names of event channels in a .plx file
%
% [n, names] = plx_event_names(filename)
%
% INPUT:
% filename - if empty string, will use File Open dialog
%
% OUTPUT:
% names - array of event name strings
% n - number of chan... |
b585da9bf5452dedc43825245454f3a41c90378623345d41b921040bb7c30e77 | MATLAB | 1,085 | 45 | function phandle = ternary_plot3( wlimits, name_E, E, name_F, F, ZData, varargin)
%ternary_plot3 plot3 with Ternary Coordinate Inputs (ABC)
%
%
%% Process inputs
% Check input count
if ( nargin < 5 )
error('Too few Inputs')
end
% If user does not specify ZData, plot at zero
... |
2b15c391ba69b6593b865acae9df62c602c78603d53a9d27c860cc2d3a178662 | MATLAB | 1,087 | 29 | function Uout = generateGaussianProfile(X,Y,rad,aper,k,fl,offset)
% Uout = generateGaussianProfile(X,Y,rad,aper,k,fl,offset)
%
% This function generates a Gaussian back aperture intensity profile with a
% fixed aperture size with a focused phase fl. The inputs are
%
% - X - lateral position X [m]
% - Y ... |
65b024dc1df2124b46d15f273a6faf2d18f3bfd654c19bed57f3fc053d0d56d8 | MATLAB | 1,087 | 32 | %% Multielectrode --> .mda for MountainSort
%% Read from Recording Segment
%Z:\1_Maxwell_Gagnon\ProjectData_Sriram\Granule_cell_recording\NR2_F_10_S1
clear;clc;close all
dbstop if error
cd Z:\1_Maxwell_Gagnon\ProjectData_Sriram\Granule_cell_recording\NR2_F_10_S1
seg_file_names = dir;
seg_file_names(~contains({seg_fil... |
1e16eac375a6d67cb8f7dbf67c6496dadf9f9c08ba5ffa0a8b3025cae2eb0226 | MATLAB | 1,088 | 33 | function logical_removal_vector = pre_post_motion_censoring(FD_vector,FD_threshold,skip)
% Code from OHSU Fair Neuroimaging Lab
% Written (2014) and commented (9/8/2015) by Eric Earl
%
% takes in a vector of FD values, an FD threshold, and a number of frames
% to skip and outputs a logical frame removal vector of 1s a... |
599d0c364c3576ce7e5933b4b93a12d6928bd437b0772b629455d4716db28545 | MATLAB | 1,088 | 51 |
function my_move_net(net_info, destination)
if strcmp(destination, 'gpu')
for l=1:numel(net_info.ref.layers)
switch net_info.ref.layers{l}.type
case 'conv'
for f = {'filters', 'biases', 'filtersMomentum', 'biasesMomentum'}
f = char(f) ;
if isfield(net_info.ref.l... |
8fa7b521f7c11240a7937256b88bb0b26a4fd228fd794e382db2b1a89d825ddd | MATLAB | 1,088 | 33 | function ml_util_bfo_errorbar_groups(angles, groupMean, groupStd)
numAngles = length(angles);
% Give each group a different color
numGroups = size(groupMean,1);
blue = linspace(0.2,1,numGroups);
%alpha = 0.5.*ones(1, numGroups); %linspace(0.8, 0.2, numGroups);
alpha = linspace(0.5, 1.0, num... |
cdf58023660f38cc6737468cfb862456b627ef666f9ac6abfdf6d3665fa65d4d | MATLAB | 1,089 | 31 | function [params, s_new] = denoise_pow3(params, s, state)
% Kurtosis based denoising function
% [params, s_new] = denoise_pow3(params, s, state)
% params Function specific modifiable parameters
% state DSS algorithm state
% s Source signal estimate, matrix of row vector signals
% s_new Deno... |
1cb8d736fede67c340ff8b2513ca08499656bb65b56412a33cefade92fbf3d57 | MATLAB | 1,090 | 45 | function [CIJ] = makelatticeCIJ(N,K)
%MAKELATTICECIJ Synthetic lattice network
%
% CIJ = makelatticeCIJ(N,K);
%
% This function generates a directed lattice network without toroidal
% boundary counditions (i.e. no ring-like "wrapping around").
%
% Inputs: N, number of vertices
% K, ... |
feb16b838a55dbd1420d568d19ee015eaa8bb599d8776fd26d2f8c69ca80f309 | MATLAB | 1,090 | 58 | function lab= convertLab(lab,nlab)
lab=char(lab)
%keyboard
for i=1:nlab
ilab=lab(i,:);
ind= strfind(ilab,'resA');
ilab(ind:ind+3)=[];
ilab = char(ilab)
ind= strfind(ilab,'_l');
if length(ind) > 0
ilab(ind:ind+1)=[];
ilab=strcat(ilab, {' '}, 'l');
else
end
ilab ... |
0a32202f19b897f927111e18cd1ab093f5467af7d8293cbe1ed3e9a7e76cffb2 | MATLAB | 1,091 | 43 | % initStimulus.m
%
% $Id$
% usage: [stimulus myscreen] =
% initStimulus(stimulusName, myscreen)
% by: justin gardner
% date: 05/01/06
% purpose: init the stimulus variable (and register it in myscreen)
% copyright: (c) 2006 Justin Gardner (GPL see mgl/COPYING)
% e.g.:
... |
4f13552f447e414dee97e614691aeefb5d52072963966982d9d755e334ba8c78 | MATLAB | 1,091 | 29 | function cpred = convolve_vecs(pred, irf, fs_in, fs_out)
% Convolve predictors with HRF, resample to temporal resolution of fMRI
% measurements, and clip extra frames extending beyond measurement period.
% Note that this implementation is much faster than using conv2.
%
% INPUTS
% 1) pred: predictors to be convolved... |
6c46843cdd2867b66edd58fac15fa48eb82e0c0a1861ea27b26bf31229ee8dbf | MATLAB | 1,091 | 32 | function value = read_power_2014_motion(motion_file,FD_threshold,DVAR_threshold,key)
if FD_threshold > 0.5
disp(['Input FD threshold (' num2str(FD_threshold) ') is greater than the maximum tested against (0.5)'])
return
end
if DVAR_threshold > 50
disp(['Input DVAR threshold (' num2str(DVAR_threshold) ') i... |
d523bbc9002b8f9b2d0f858190c871b18097426366abc287414b35a531f92ea7 | MATLAB | 1,092 | 23 | function d2soz = VR_d2soz(nodes, aij, esoz_map)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% If you use this code, then please cite:
% 1.- Ana P. Millan, et al. "Individualized epidemic spreading models
% predict epilepsy surgery outcomes: a pseudo-prospective study."
% medRxiv (2023): 2023-0... |
755c62cffa100d238982c1e39049dc6e2b6c339951a74c6658c98d36833b4f77 | MATLAB | 1,093 | 29 | function ret=SONWriteADCBlock(fh, chan, buffer, count, startTime)
% SONWRITEADCBLOCK writes data to an ADC channel
%
% RET=SONWRITEADCBLOCK(FH, CHAN, BUFFER, COUNT, STARTTIME)
% INPUTS: FH the SON file handle
% CHAN the target channel
% BUFFER the data to be written (int16 ADC data)
% COUNT the... |
9739952c003502483460bcd07e73c0beea892cf324a63ac37cb1ef5cc6030484 | MATLAB | 1,094 | 53 | clear all
close all
% Sup Fig 7, show how spectrin recovers - shrink
% setting up the initial configuration
P.y0 = 180*1.2;
P.x0 = sqrt(P.y0^2 - (P.y0/2)^2);
P.max_y0 = 17*P.y0/2;
P.max_x0 = P.x0*15;
[r_s,T_s,edges_s,edge_type] = create_mesh(P);
P.actin = 1:size(r_s,1);
P.k0 = 1;%spectrin spring constant
P.d00 = ... |
50c85292e707f7687ca1eef5e3ba4c0d178d39e6aa5c89d3909851436a58e2b7 | MATLAB | 1,095 | 31 | function [informationRate, informationPerSpike] = ml_placefield_informationcontent_v2(meanFiringRateMap, positionProbMap)
% This must mathematically be true
meanFiringRate = sum(meanFiringRateMap .* positionProbMap, 'all');
% Compute the information rate (bits per second)
% Find the non-zero entrie... |
d6be1b4d595e3ddc688e3b82b48593f999d6570cb2ac10a57a03c8bd73bc80a9 | MATLAB | 1,096 | 39 | % mglTestClearScreen: an automated and/or interactive test for rendering.
%
% usage: mglTestClearScreen(isInteractive)
% by: Benjamin Heasly
% date: 03/10/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Test setting the screen clear color.
% usage:
%... |
90ca4bca0ed26091e49214166d47bcf79e5216ef77611365de7db2fe5391fdd9 | MATLAB | 1,098 | 40 | clear
addpath(genpath('.'))
addpath(genpath(fullfile('..','ANE')))
global result;
global resultString;
global resultSpikes;
%%
dir_video=fullfile('E:','data_CNMFE');
list_Exp_ID={'blood_vessel_10Hz','PFC4_15Hz','bma22_epm','CaMKII_120_TMT Exposure_5fps'};
num_Exp = length(list_Exp_ID);
% name of file to read
% for... |
2a67795d06148b3094b3621e88ca063d44f2acf8602459effca007d15d91c345 | MATLAB | 1,099 | 45 | function phandle = ternary_text( wlimits, name_E, E, name_F, F, string, ZData, varargin)
%ternary_plot3 plot3 with Ternary Coordinate Inputs (ABC)
%
%
%% Process inputs
% Check input count
if ( nargin < 6 )
error('Too few Inputs')
end
% If user does not specify ZData, plot at... |
0f2334164cf92839f5ecacb39dc740fc87a4803d2bb64030082951d71ae2e81e | MATLAB | 1,100 | 31 | % VL_IMDISTTF Image distance transform
% DT = VL_IMDISTTF(I) computes the distance transform of image I.
% The distance transform is defined as
%
% DT(x,y) = min_{u,v} I(u,v) + (u - x)^2 + (v - y)^2.
%
% [D, INDEXES] = VL_IMDISTTF(...) returns a matrix INDEXES that
% contains for each pixel (x,y) the ind... |
6933973225588434ddf563a5db308df3eaa09ed094c5c0059ad40131e30bf4de | MATLAB | 1,100 | 29 | %
% Style info by methods.
%
% RESULT
% colors Struct by method
% .(method) (1*3) Color
% line_styles Struct by method
% .(method) (string) line style
% markers Struct by method
% .(method) (string) marker
%
function [colors line_styles markers] = styles_method()
colors = struct();
line_styles = struct();
m... |
8a102f04f3f08295a80328936c5a72dadf79813df0c91093fe5b7bdae3950ae9 | MATLAB | 1,100 | 29 | % mglPrivateDisplayProcessingError.m
%
% $Id:$
% usage: mglPrivateDisplayProcessingError(socketInfo, results, functionName)
% by: justin gardner
% date: 01/27/23
% purpose: Private function that is used to handle errors that mglMetal returns
% when processing a command. These a... |
f646198cbcf4048c11faed4a4d36b993546bd0a5928fbf55a55c8081ab027006 | MATLAB | 1,101 | 40 | % mglTestMetalText: an automated and/or interactive test for rendering.
%
% usage: mglTestMetalText(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.
% usage:
% ... |
fa19c45f2cac4cbfcb95faf36edab2108383ad4d425dc2efd0565831075848da | MATLAB | 1,102 | 28 | function ret=SONWriteRealBlock(fh, chan, buffer, count, startTime)
% SONWRITERealBLOCK writes data to an Real channel
%
% RET=SONWRITERealBLOCK(FH, CHAN, BUFFER, COUNT, STARTTIME)
% INPUTS: FH the SON file handle
% CHAN the target channel
% BUFFER the data to be written (single floating point)
% ... |
a2b4e0c70b39940a5626f2ab24b6d3857d793c83d369717fc563a7a4705144d9 | MATLAB | 1,103 | 40 | function J = vl_imdown(I, varargin)
% VL_IMDOWN Downsample an image by two
% J = VL_IMDOWN(I) downsamples the image I by half by discarding
% each other pixel.
%
% VL_IMDOWN() accepts the following options:
%
% Method:: Sample
% 'Sample' downsamples the image by discarding
% pixels. 'Average' instead a... |
f02c1cc7f0532943af8ab276aef1b5f2f4d6771dd8cfc824998c771b9e4abc73 | MATLAB | 1,103 | 30 | % VL_SLIC SLIC superpixels
% SEGMENTS = VL_SLIC(IM, REGIONSIZE, REGULARIZER) extracts the SLIC
% superpixes [1] from image IM. REGIONSIZE is the starting size of
% the superpixels and REGULARIZER is the trades-off appearance for
% spatial regularity when clustering (a larger value results in more
% spatial r... |
7e4222bd7edea6e78ef1a7f124adfafafe2cece58d2016cb49219b1d0bf64ad0 | MATLAB | 1,105 | 45 | % mglDeleteSound.m
%
% $Id:$
% usage: mglDeleteSound(soundID)
% by: justin gardner
% date: 08/15/15
% purpose: Free up space on allocated sound
%
% After installing a sound with mglInstallSound you
% can remove it with this function if you do not want
% ... |
dd5b3bda455dae7630e07eea12734a4a1e4997fb09ef8bd6cbe1e09d8cee780a | MATLAB | 1,105 | 37 | function [] = checkFlipTimes(fileNameToLoad)
% Script to ad hoc check stimulus frame timing.
% Example:
% run = 999;
% date = '20201125T122751';
% fName = sprintf('simseqPRF_test_run%d_%s.mat',run, date);
% checkFlipTimes(fName)
set(0,'DefaultFigureWindowStyle','docked') % use 'normal' to undock
% Load output file
l... |
ccc523668eccd05b4b8131341987636283943cf269f5edcf16056ec4d771cdc5 | MATLAB | 1,106 | 27 | function plot_cellreg_spatialfootprints(obj, session)
outputFolder = fullfile(session.getAnalysisDirectory(), obj.Config.cellreg_spatialfootprints_plot.outputFolder);
if ~exist(outputFolder, 'dir')
mkdir(outputFolder);
end
numRegCells = session.getNumCells();
fprintf('There are %d register... |
ce4b676df2f81ce0aed40fefa2e20946ca1f54fcf541af0e976eb72c36f119c6 | MATLAB | 1,106 | 31 | function make_wrapper_connectotype(handles,parcel_folder)
fs=filesep;
surv=handles.mc.surv_ix;
surv(:,1)=[]; %first column refers to standard, second one to model based
n_surv=sum(surv);
ix=find(surv);
grid_sub_folfer=[parcel_folder fs 'grid_sub'];
mkdir(grid_sub_folfer);
change_permissions(handles,grid_sub_folfer);... |
ee253f52433f0a3e8d34ee7d9ae846a3f7106c8fbf08dbeeb7a3946fdafce4c0 | MATLAB | 1,106 | 29 | function [pnt, tri] = icosahedron162()
% ICOSAHEDRON162 creates a 2-fold refined icosahedron
% Copyright (C) 2003, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fieldtrip
% for the documentation and details.
%
% FieldTrip is free software: you can redistribute it and/or mo... |
2f39935a55a1cdb77113e6dbcb17c2b7922d527d77b57f826789a031dd08395d | MATLAB | 1,107 | 42 | function res = myConv2(h, tmpX, step)
%preparation. X consists of original image surounded by zeros
tmpImageSize = size(tmpX);
filterSize = size(h);
numFilter = ceil(((tmpImageSize(1) - filterSize(1))/2 + 1)/step) * 2 + 1;
imageSize = step * (numFilter - 1) + filterSize(1);
tmpZeros = zeros(imageSize);
sizeX = size... |
61573d6321394a2ac004fb8270bb9e8fa881273367db726367368495eebfa438 | MATLAB | 1,107 | 38 | function [ts_mus, csc, channel, fs, HS] = ml_nlx_csc_load_file( cscFilename )
[Timestamps_mus, ChannelNumbers, SampleFrequencies,NumberOfValidSamples, Samples, Header] = ...
Nlx2MatCSC(cscFilename,[1 1 1 1 1], 1, 1, [] );
ts_mus = [];
csc = [];
fs = 0;
if NumberOfValidSamples > 0
... |
9b668ed27b687ca0ca1189bbaf2252f46c7c9c663316337ce683e682912c123a | MATLAB | 1,107 | 35 | %% Author: Jiri van Bergen and Xu Li
% Affiliation: Radiology @ JHU - Kirby Center
% Contact via xuli@mri.jhu.edu
% Updated by Xu Li, 2019-07-09
%% Show that image!
% Enable button
set(handles.ButtonAdjustContrast, 'Enable', 'On');
% Check dimensions
if size(handles.CurrentImage,5) > 1
imageSlice =... |
331b2d70f8645aeb4ba68d4f8e46823b20cce90cdce63d919bc22f86cc25beb2 | MATLAB | 1,108 | 44 | % Function File: [reduced_data] = reduce_data (data, p)
%
% A simple data reduction tool for plot.
%
% data is a matrix with x-values in the first column and y-values in
% subsequent columns.
%
% p is the horizontal length of the plot in pixels
%
% reduce_data (last updated:... |
4c20207fc86cacdb3c7268cb138e05ab3553d1f3e173a739b3598e6d05d23216 | MATLAB | 1,108 | 43 | % mglTestGluAnnulus: an automated and/or interactive test for rendering.
%
% usage: mglTestGluAnnulus(isInteractive)
% by: Benjamin Heasly
% date: 03/10/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Test rendering various sizes and shapes of vectorized ... |
205976ff8ad8849d72d10df6d1c6c29197ca89c0706921434593168836174325 | MATLAB | 1,109 | 27 | % 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);
clear fsldir ... |
84b444be8336772bdbd8613a2a266592feb6636f88fab894e6a0646b5cf88b4f | MATLAB | 1,109 | 36 | % mglGluDisk - draw disk(s) at location x,y; alternative to glPoints for circular dots
%
% $Id$
% usage: [ ] = mglGluDisk( x, y, size, color, [nslices], [nloops] )
% by: denis schluppeck
% date: 2006-05-12
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% inputs... |
0cb09aadfda8e4afeb7240772c12ac6cda1b62f56e49eba052c3a50dfacdad66 | MATLAB | 1,110 | 55 | function [Nsample,xtemp,P,y]=plotTCurve(Amp,Nspikes,plot_d,Nbins,percentile)
Nspikes(isinf(Amp))=[];
Amp(isinf(Amp))=[];
% [~,idx_temp]=sort(Amp);
% plot(Nspikes(idx_temp))
if Nbins<2
Nsample=nan;
xtemp=nan;
P=nan;
return
end
%linspace(0,0.95,Nbins+1)
x = quantile(Amp,linspace(0,percentile,Nbins+1));
%m... |
fa648d1cf02e8acfd41d1000a6ff609bb7f9f2710076ea4cbb81d6e729b6f7e1 | MATLAB | 1,111 | 45 | function c = InvProbV1Cons(x,Imat_t,tn,ni,nh,no,msteam_st_t,mfg_st_t,Tsteam_in_st_t,Tfg_in_st_t,cpfg_st_t,cpsteam_st_t,delta,data)
wh = reshape(x(1:ni*nh),[ni,nh]);
wo = reshape(x(ni*nh+1:ni*nh+nh*no),[nh,no]);
bh = (x(ni*nh+nh*no+1:ni*nh+nh*no+nh))';
bo = (x(ni*nh+nh*no+nh+1:ni*nh+nh*no+nh+no))';
y_r = reshape(... |
791423a9303a75c387c34a34987f51473c1739124d668f4a68d0b214b7308a40 | MATLAB | 1,112 | 31 |
% Determine fertility of detections based on size and atomicity.
%
function fertility = detection_fertility(det,params)
n_obj = det.body_cc.NumObjects;
% initialize fertilities to default of 1
fertility = ones([n_obj 1]);
% collect body size constraints
mean_body_area = params.mean_area;
max_body_... |
8acca44e043ce7e58d855cf1b431431e6d19b09917944bea79c013a93735197c | MATLAB | 1,112 | 37 | function [r] = ml_cai_dlc_get_h5_filenames(containerFolder, filenamePrefix)
% This returns an array of structures containing information for matching
% h5 files, and it is sorted by the sequence number of the file.
%
% This is meant to be used for files like
% behavCam1DLC_resnet50_MODEL.h5
% behavCam2DLC_resnet50_MOD... |
6c42cd1db071a152f6d1b85a8b0fc3646756c343a6c0fb51e73589fff0711636 | MATLAB | 1,114 | 47 | % GAUSSFILT - Small wrapper function for convenient Gaussian filtering
%
% Usage: smim = gaussfilt(im, sigma)
%
% Arguments: im - Image to be smoothed.
% sigma - Standard deviation of Gaussian filter.
%
% Returns: smim - Smoothed image.
%
% If called with sigma = 0 the function immediately returns with ... |
1a562cb0ca93d82e140f9411654d6ad4d71b3f5fce2a96ad463f58a08b35b5b8 | MATLAB | 1,115 | 44 | classdef Data < types.untyped.MetaClass & types.untyped.DatasetClass
% DATA An abstract data type for a dataset.
% REQUIRED PROPERTIES
properties
data; % REQUIRED any
end
methods
function obj = Data(varargin)
% DATA Constructor for Data
obj = obj@types.untyped.MetaClass(varargin{:});
... |
31217e258a4ac8cafff4eb4ef844ed13204a25c87ef22a44354bd17a4f6d332f | MATLAB | 1,115 | 50 | function x=powerlawSampler(n,t,x_min,x_max)
% powerlawSampler Sample values from a truncated powerlaw distribution
%
% Syntax
%__________________________________________________________________________
%
% x=powerlawSampler(n,t,x_min,x_max)
%
%
% Description
%__________________________________________________________... |
47fb6fef58e77d023a729271f26dbe6e782333d0305804324f11f06408cf06a5 | MATLAB | 1,115 | 65 | %%
clear all
close all
clc
%% Rejections
values = 1002:1021;
Rejections_analyze = [];
saveme = [];
Subjects= [];
for ii = 1:length(values);
try
saveme = [];
subj = [];
name = ['Subject_' num2str(values(ii)) '_rejected.csv'];
T = readtable(name);
saveme = tab... |
233b986f314a1cf732223ece49b478e20c6cbb5ad303837a6964c8b7b6328859 | MATLAB | 1,116 | 40 | function y=spcharin(x)
%SPCHARIN replaces special characters by their codes
%
% Syntax y=spcharin(x)
%
% Description
% x is a character or 2D cell array of characters
% y is the corresponding version with reserved (special) characters
% replaced by '%ascii;' codes
%
% See also: SPCHAROUT
%
% Jonas Almeida, alme... |
a141cb5479a5c0d1ffc5d5e39ac2301a7f9d1ebb5b2a7c84ca87e7a717e7e4b6 | MATLAB | 1,118 | 39 | function fun = DynMCNNInvProbV1(x,Imat_t,dsr_t,ni,nh,no,tn,delta,data)
whd = reshape(x(1:ni*nh),[ni,nh]);
wod = reshape(x(ni*nh+1:ni*nh+nh*no),[nh,no]);
wfd = reshape(x(ni*nh+nh*no+1:ni*nh+nh*no+no*nh),[no,nh]);
bhd = (x(ni*nh+nh*no+no*nh+1:ni*nh+nh*no+no*nh+nh))';
bod = (x(ni*nh+nh*no+no*nh+nh+1:ni*nh+nh*no+no*... |
a72179d6452fd5d485bec5b6e7e1b5622555020593244674fa724acf9e759801 | MATLAB | 1,118 | 39 | function fun = DynECNNInvProbV1(x,Imat_t,dsr_t,ni,nh,no,tn,delta,data)
whd = reshape(x(1:ni*nh),[ni,nh]);
wod = reshape(x(ni*nh+1:ni*nh+nh*no),[nh,no]);
wfd = reshape(x(ni*nh+nh*no+1:ni*nh+nh*no+no*nh),[no,nh]);
bhd = (x(ni*nh+nh*no+no*nh+1:ni*nh+nh*no+no*nh+nh))';
bod = (x(ni*nh+nh*no+no*nh+nh+1:ni*nh+nh*no+no*... |
435b8144433d15930122d6b86c3035d4f913a1284c4a8fe2b2aeeb4435c3fb06 | MATLAB | 1,119 | 44 | function weights=dirichletSampler(theta,nc)
% dirichletSampler Sample weights from a symmetric Dirichlet distribution
%
% Syntax
%__________________________________________________________________________
%
% weights=dirichletSampler(theta,nc)
%
%
% Description
%_______________________________________________________... |
53e24c7efe02ce84e789641e3e08979445f05b32c8c04d52392ed0b93a430418 | MATLAB | 1,119 | 30 | function [params, result] = ortho_default(params, W, w)
% DSS No orthogonalization function
% Does mere normalisation
% W = orthof(W) for symmetric dss
% w = orthof(W, w) for deflation dss
% W Matrix with projection vectors as rows. For deflation
% algorithm only previously calculated projections a... |
9ba876c0730f0ae4dd770655da2def648acfa09035b82d35c55c2f31c18f84ec | MATLAB | 1,119 | 35 | function [ i,o ] = aux_perceive_sc( obj, vec, pts )
% Auxiliar method for ECG artifact filtering
%
% Syntax:
% [i,o]= AUX_PERCEIVE_SC( obj, vec,pts );
%
% Inputs parameters:
% * obj - object containg data
% * vec
% * pts
% Example:
% [i,o]= AUX_PERCEIVE_SC( vec,pts );
%
% Adapted from Wolf-Julian Ne... |
d5f61899b4a2695e1d6b413ff7bbca2ac2edffa0225994fad131245c9c71eaca | MATLAB | 1,119 | 32 | function data = ml_cai_io_timestampdat_readfile ( timestampFilename )
data = [];
if ~isfile( timestampFilename )
error('The file (%s) does not exist.', timestampFilename);
end
fid = fopen( timestampFilename );
if fid == -1
error(fprintf('Unab... |
deac20858a962249b5dccd45580b77e39bb72070d0f8f16abfeeb8abca03cdb9 | MATLAB | 1,119 | 35 | function Y = tiff_reader(name,T)
% Y = tiff_reader(name,T)
%
% read tiff stack. Optional truncate to first T timesteps
%
% The inputs to this function are
% name: String pointing to the tif file to load
% T: Number of frames to extract
%
% The output to this function is
% Y: 3D array... |
39fe519bc4c4389732f28170448b15e096d7c2b5efe4739811a24ac9cf3e6fd0 | MATLAB | 1,120 | 34 | function [x_max y_max A]=crit_interp_g(y,x);
%fits a gaussian to three points: y=[y(x(1)) y(x(2)) y(x(3))]. Returns the
%position (x_max) and value (y_max) of the interpolated critical point
%(peak or trough). Things go sideways (complex) if y is mixed sign and
%rounding errors can cause spurious complex results ... |
8b1394c5e45042e914a68fc23d1c3ddc1bacf75a48c77f51f8ac602d5cc4eb59 | MATLAB | 1,120 | 56 |
function input_info=cnn_layer_dense_softmaxloss_backward(input_info, layer, work_info_batch, output_info)
stageout_info=layer.stageout_info;
stage_idx=stageout_info.stage_idx;
mc_info=work_info_batch.ref.finalloss_mc_info_stages{stage_idx};
tmp_input_info=work_info_batch.ref.fina... |
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