sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
85344a405909149f73b7e7ef23c26f84e27d14d75730a1f995db94454fa4f637 | MATLAB | 1,274 | 66 | function [] = plotNullModelIterations(met, met2, lagval, e, FN, Params, figFolder, oneFigureHandle)
%{
Parameters
----------
met :
met2 :
lagval : int
e :
FN :
Params : struct
Returns
-------
%}
p = [100 100 1000 600];
set(0, 'DefaultFigurePosition', p)
if ~Params.showOneFig
figur... |
c5fdf61062525d2306c6738a038c067bdcc45445653979da28f8d712f685c993 | MATLAB | 1,274 | 39 | % SSE - Calculate sum of squared errors (SSE)
% Computes SSE between measured and estimated time series.
%
% Syntax
% sse = SSE(measured, estimated)
%
% Input Arguments
% measured - Measured time series [time x 1]
% estimated - Estimated time series [time x 1]
%
% Output Arguments
% sse... |
dcb8d85428034d518f4ee26adacb247a9b80384181351a58f3932aeb65714642 | MATLAB | 1,274 | 58 | function [harddrives,options]=getHardDrives(varargin)
% EXAMPLE USE WITH ARGUMENTS
%[options]= getHardDrives() - use 1
%[options]= getHardDrives(arg1) - use 2, etc.
%[options]= getHardDrives(arg1,options) - use 3 with options
%
% HELP
% Fetches information about hard drives installed on the computer.
%
% HISTORY
% - 20... |
b751edd724cc02fb57b4b95511d6abac7ec8c252908bc56619fadfd0458a1710 | MATLAB | 1,275 | 64 | function [z ,t] = delay_embed(x,tau,D,T)
% Make time delayed embedding vector
% [z ,t] = delay_embed(x,tau,D,T)
% z(:,t) = [ x(:,t); x(:,t-tau); ...; x(:,t-tau*(D-1) ]
%
% --- Input
% x : x(:,t) , t=1:Tsample [ N x Tsample x Ntrial]
% tau : Lag time
% D : Number of time delay
% --- Optional Input
... |
fa9dd22ff7a23bc8ada4dab6e4bd1e83ff3cce2c83d992f2e8abda84ce6b7c03 | MATLAB | 1,275 | 53 | function newimg = image_resize(img,p1,q1,r1)
% image_resize - resize an image using bicubic interpolation
%
% newimg = image_resize(img,nx,ny,nz);
% or
% newimg = image_resize(img,newsize);
%
% Works for 2D, 2D 2 or 3 channels, 3D images.
%
% Copyright (c) 2004 Gabriel Peyré
if nargin==2
% size specified ... |
6e0e1c7d73ee22869f11c482aa80140674ad18cc4b0e89ad417cb2e41765f3a6 | MATLAB | 1,276 | 35 | function y = vl_nnspnorm(x, param, dzdy)
%VL_NNSPNORM CNN spatial normalization.
% Y = VL_NNSPNORM(X, PARAM) computes the spatial normalization of
% the data X with parameters PARAM = [PH PW ALPHA BETA]. Here PH and
% PW define the size of the spatial neighbourhood used for
% nomalization.
%
% For each featur... |
c10700a17cdd9fdcb6932a2b15e6c09ff8123f8c34d8c460c65e0c7184b97662 | MATLAB | 1,276 | 42 | classdef nnnormalize < nntest
properties (TestParameter)
group = {2 3 4 5 6 8 9 10 11 12 13 14 15 16 17}
sgroup = {2 3 4 5 6 7}
end
methods (Test)
function basic(test, group)
param = [group, .1, .5, .75] ;
x = test.randn(3,2,10,4) ;
y = vl_nnnormalize(x,param) ;
dzdy = test.ra... |
e8ec54c15ed9f0ba2be5d64c3f33158746bb1778275d65ccba0d404f4623ce1f | MATLAB | 1,276 | 31 |
%-----------------------------------------------------------------------
function TMSSliceTiming(TempScan,TR,Order,Ref)
% TemImg = dir([DataDir,filesep,'*.nii']) ;
% for i = 1 : length(TemImg)
% TempScan(i,1)= {[DataDir,filesep,TemImg(i).name ',1'] } ;
% end
s={} ;
v1=spm_vol(TempScan) ;
for i = 1 : lengt... |
de7cb4e01688414e9c994c3bcab9c022f0e40a40c3c307e2e0bcd65a983b85ad | MATLAB | 1,277 | 66 | % Circular ANOVA with significance calculated from
% randomization method
%
% p = CircAnova(Th, Gp)
% or
% p = CircAnova({Th1, Th2, Th3, ...})
%
% computes mean angles for each group and residual sum as
% sum(cos(th-pred))
%
% significance is calculated by randomizing groups
%
% CircAnova(..., nRands) specifies numb... |
71b83dc257a33a8f12d04818bad18d92282ded6ee274e313db611e626897567a | MATLAB | 1,278 | 80 |
% this function is used by some of the demos to display data
function demopanel_minihist(stats, show_xtick, show_ytick)
% color
col = histcol(stats.source);
% plot
b = bar(stats.bincens, stats.percfreq, 0.9);
set(b, 'facecolor', palecol(col), 'edgecolor', col, 'showbaseline', 'off');
hold on
% mean
x = mean(stats.... |
d21543fb8ef51f8eee879816d7af68d9fef7efc8922ba6ff2697deb1f71b8c7f | MATLAB | 1,279 | 32 | %{
tuning.DotRFMapPop (computed) # populate receptive field from Single dot stimuli
-> tuning.DotRF
-----
response_map : blob # average response for each location
center_x : float # (fraction of x) center of receptive field on x, from Gaussian fits
center_y : float # (f... |
93e0166d79f43df4223f2db577558049f2912a5ff28ea52faddd98651c279fd7 | MATLAB | 1,280 | 52 | function vec = lincomb(M, x, vecs, coeffs)
% Computes a linear combination of tangent vectors in the Manopt framework.
%
% vec = lincomb(M, x, vecs, coeffs)
%
% M is a Manopt manifold structure obtained from a factory.
% x is a point on the manifold M.
% vecs is a cell containing n tangent vectors at x.
% coeffs is a v... |
14375a9beabb850f346c7a94dab883e74a93553658ba59c1df000ef32c978a52 | MATLAB | 1,282 | 47 | function [v,data] = TMSReadNii(sub_dir,filter_str)
% Modified from DynamicBC 201810Version
if nargin==1
filter_str = '';
end
flag = 0;
[fpath,name,ext] = fileparts(sub_dir);
if strcmp(ext,'.nii')||strcmp(ext,'.img')||strcmp(ext,'.hdr')
if strcmp(ext,'.hdr')
niiname.name = [name,'.img'];
else
... |
089089af42448bc6319d96f832a8a0b11951e5d03747487e7365cf19fede4835 | MATLAB | 1,283 | 44 |
% BATCH Datos Chema
clear filenames
filenames{1}='6continuousPRE2_HC';
filenames{2}='6continuousPRE2_PFC';
filenames{3}='12_ContinuousPOST3min55-60_HC';
filenames{4}='12_ContinuousPOST3min55-60_PFC';
filenames{5}='19_continuousLTP30_HC';
filenames{6}='19_continuousLTP30_PFC';
clear dirnames
dirnames{1}='... |
e02fb76a130dfc1b4d58f713e60cc75f199f2f010b008e14ebe40df819c9a377 | MATLAB | 1,283 | 49 | function [pathtorepo,options]=getPath(varargin)
% EXAMPLE USE WITH ARGUMENTS
%[options]= getPath() - use 1
%[options]= getPath(options) - use 2, etc.
%
% HELP
% Outputs the path to the MicroscopesRecordings repository
%
% HISTORY
% - 20-05-07 15:41:41 - created by Radek Chrapkiewicz (radekch@stanford.edu)
% 2020-06-15 ... |
5cefe2be75b7e6313aa0bac95d3a67d80bbfda34e23623fc4e18a9e655126540 | MATLAB | 1,285 | 43 | %% [height,bottom,width,left] = sepia_layout_measurement(nrow,rspacing,ncol,cspacing)
%
% Input
% --------------
% nrow : number of rows in the panel
% rspacing : spacing between rows, in normalised unit
% ncol : number of functional columns in the panel
% cspacing : spacing between column, ... |
9ba5b636fe517cac577315191f83743a1d433c4412fd0703fe885e53a1e39513 | MATLAB | 1,285 | 72 | function [X,Y,Z]=cylinder1(P1,P2,R,N)
%
% P1 - center of the first base of cylinder
% P2 - center of the second base of cylinder
% R - radius of cylinder
% N - number of sectors of the base of cylinder
if nargin<4
N=100;
end
P1=P1(:);
P2=P2(:);
P12=P2-P1;
A=[0 0 1;1 0 0;0 1 0]';
B=[];
z1=P12/norm(P1... |
e48131945491776b37f1ccc590e277d76fd04ca74abbb3dfc4ded9875de5f1e7 | MATLAB | 1,285 | 39 | function [ subject ] = nmri_reroot_subject( subject, new_analysis_dir )
% [ subject ] = nmri_reroot_subject( subject )
% Will fix a subject struct that was moved to a new location / analysis
% dir
%
% subject = subject struct (input=old, output=re-rooted)
% new_analysis_dir = you can provide the new analyi... |
e66a9d70adb77c108b7f7b050949c6b156ecaea5d96dbfc7b1c0062e1e90ed1b | MATLAB | 1,286 | 42 | function [dims,scales,bpp,endian,datatype] = read_avw_hdr(fname)
% [dims,scales,bpp,endian,datatype] = READ_AVW_HDR(fname)
%
% Extracts the 4 dimensions (dims),
% 4 scales (scales) and bits per pixel (bpp) for voxels
% contained in the Analyze or nifti header file (fname)
% Also returns endian = 'l' for little-e... |
1cd7237a18be4ba79b6a0ccda8ebb8a062bbe8d9ffed71aeb822609093f57b6c | MATLAB | 1,287 | 37 | function [populations] = loadPopulations()
% Loads all populations that were evolved in analysis 01A and returns them
% in a handy format, sorted by Ctype, environment and optimization
% objective.
% get file paths
paths = addPaths();
analysisName = 'analysis01A';
% intermediate storage variable: cell arrays of popul... |
424c8da29568169710653c8f5f7ff0f107d9cbfb5daf5c4437d44412f93a9af8 | MATLAB | 1,288 | 33 | % script to convert MP2RAGE images into T1 (R1) map estimates as suggested in:
% MP2RAGE, a self bias-field corrected sequence for improved segmentation and T 1-mapping at high field
% JP Marques, T Kober, G Krueger, W van der Zwaag, PF Van de Moortele, R.
% Gruetter, Neuroimage 49 (2), 1271-1281, 2010
%
%
%
addpath... |
90b57879dc2758056d9980969b686a5e766ffbed0edac4730a48231c69a48846 | MATLAB | 1,288 | 58 | function qDemo
% a demo how to rotate a point around an arbitrary axis by using
% quaternions
% REMARK:
% 1) enless loop, hit CTRL+C to break
%
% VERSION: 05.03.2011
% point to be rotated
P = [ 0.1, 0.4, 0.4 ];
% vector around which the rotation will be performed
u = [ 0.5, 0.5, 0.5 ];
% for camera purpose
azimuth... |
fa14ba4780d49f54d6da433427809fa055169439be594b0a1058288496ef49d7 | MATLAB | 1,288 | 41 | function [links,topology,node] = dendhier(links,topology,node)
% DENDHIER: Recursive algorithm to find links and distance coordinates on a
% dendrogram, given the topology matrix.
%
% Usage: [links,topology,node] = dendhier(links,topology,node)
%
% links = 4-col matrix of descendants, ances... |
5dc3ab564a1b6ff37e5f28a36900d1be46bbdcfc4b5fad1da0b29180210fb7bf | MATLAB | 1,289 | 40 | function rmShockNoise(sesName,rmRange)
% remove noise around shock
% shock file should be ~/data/Fear/triple/[sesName]/[sesName].shocks.events.mat
% kk2 files shoukd be in ~/Desktop/[sesName]/probe[n]
% here n=1~3
%
% usage example
% rmShockNoise('hoegaarden181115',[-0.1,5])
%%
if ~exist('... |
5ecf29af9120975e8c4fa2255059f3c2abf18b6302953b83b20950cf8a9b1d27 | MATLAB | 1,289 | 39 | function gradientColorMap = tapas_uniqc_get_colormap_gradient(rgb1, rgb2, nColors)
% creates colormap as gradient from one RGB value to another
%
% gradientColorMap = tapas_uniqc_get_colormap_gradient(rgb1, rgb2, nColors)
%
% IN
% rgb1 [1,3] start color
% rgb2 [1,3] end color
% nColors number of colors to... |
b2ce33257b634188a5b1b8c8006c99e4030010a5bee89de20ac07b4ae34b20de | MATLAB | 1,289 | 50 | function glm_flocINITIALSCREENING(ppdir,runix)
% this is first-pass GLM for the screening session phase.
% approach: assume HRF, condition split, no boots
% define
stimdur = 4;
tr = 1;
reps_per_run = 6;
% load data
data = {};
for p=1:length(runix)
a1 = load_untouch_nii(sprintf('%s/preprocessVER1/run%02d.nii',ppdi... |
7027edc1aa31c7a1fec4a5a7acfc00cf2c77063b49e5068d72c00d93473f9728 | MATLAB | 1,290 | 42 | function varargout = plotband(x,y,ey,bcolor,transparency,varargin)
% function plotband - plot graph with errorband
%
% syntax: h = plotband(x,y,ey,bcolor,line-properties)
%
% draws a graph centered to a band of deviations (e.g. standard error)
% x: vector points on the x-Axis, where y is provided
% y: vector, the same ... |
8a0d4dc9723b6dc3ecc9e488ee6801936c16acbaf038ae2f83638074bf7e9cc5 | MATLAB | 1,290 | 47 | function outputImage = flip(this, iDim)
% Flips all elements of a given dimension and updates dimInfo.samplingPoints
%
% Y = MrDataNd()
% Y.flip(inputs)
%
% This is a method of class MrDataNd.
%
% IN
% iDim index of dimension to be flipped; default: 1
%
% OUT
%
% EXAMPLE
% flip
%
% See also MrDataNd perfor... |
c4503e485c00a997da00b7d13edbb062e834931ba4bafa5b9411dc4573155c03 | MATLAB | 1,290 | 82 | function [t, tr, b, w, pos] = sero_srr_sero_gen1(ts, n, a, z, in_seed)
%Generate first generation SERO sampling scheme with predefined positions,
%TR, b, w
if nargin < 1
[ts, n, z, a] = sero_srr_default_image_pars();
[t, tr, b, w] = sero_srr_sero_gen1(ts, n, a, z);
clf
sero_srr_plot_sampling_stats... |
868d126a9d157908a54678b49a944937819112ae62c653bc0af5881e6289549c | MATLAB | 1,291 | 50 | function [hi, lo, mix] = wtcurves_SS(A, varargin)
%block 1 is test block.
%block 2 = high adaptation block.
%block 3 = low adaptation block.
A.reward = convertreward(A.reward);
rvec = 1:5;
hi.wt = nan(1, length(rvec));
hi.er = nan(1, length(rvec));
lo.wt = nan(1, length(rvec));
lo.er = nan(1, length(rvec));
mix.wt ... |
ba59948bcd1cffea58506dee8165afdbb46658ef8a8651b31dcecebd79066daa | MATLAB | 1,291 | 43 |
%% #1: Run for: general, untreated case
save_spatial_data = false;
intervention.active = "on";
intervention.oligo_apop = 14;
intervention.oligo_stop_my = 10;
intervention.restore_oligos = "off";
intervention.new_oligo_times = 5760;
intervention.oligo_properties = "off";
intervention.oligo_prop_times = 5760;
int... |
14444e5407ebe4e60c1690c01011359d550a19ef1b4156c332e6b4dc2733fb2d | MATLAB | 1,292 | 39 | function fh = tapas_physio_plot_rvt(ons_secs, sqpar)
% Plots respiratory volume per time at sampling points, and filtered time
% series built from
%
% fh = tapas_physio_plot_rvt(ons_secs, sqpar)
%
% IN
%
% OUT
% fh figure handle
% EXAMPLE
% tapas_physio_plot_rvt
%
% See also
% Author: Lars Kasper
% Created: ... |
43f2477cd36560e510062ad554248e79f8bf96a16152f94e24e323fee0455199 | MATLAB | 1,292 | 42 | function i=centrotype(S)
%function i=centrotype(S)
%
%PURPOSE
%
%To compute the centrotype of objects whose relations are
%defined by similarity matrix S. Centrotype means the object that
%is most similar to all the others, i.e., it should be close
%to the centroid of the data set.
%
%INPUT
%
% S (matrix) NxN similari... |
9e5cb758bd4cfd049a9da4864085b060cd3f5811bdd6ab2e72e98a30c4b4a777 | MATLAB | 1,292 | 55 | function [mtmf_out,alpha_out] = mtmf_statistic(hsi_img,tgt_sig,mask)
%
%function [mtmf_out,alpha_out] = mtmf_statistic(hsi_img,tgt_sig,mask)
%
% Mixture Tuned Matched Filter Infeasibility Statistic
%
% inputs:
% hsi_image - n_row x n_col x n_band hyperspectral image
% tgt_sig - target signature (n_band x 1 - column ... |
f5d4eb14cd8eae581d29972079cf3457e380d59d302aaab0c5b53dc8ac99a403 | MATLAB | 1,292 | 40 | function grouped = Group(varargin)
% Provide as many vectors as you want. They will be grouped in a matrix
% in the same format as spikes are grouped ([values id])
% vector1 1
% vector2 2
% ... and so on. This is useful for creating grouped events.
%
% Copyright (C) 2018-2024 by Ralitsa Todorova
%
% This program is fr... |
36f2f3f521153e0d60ce46b07547bae34fa3c4439272a5fea456e5b152836263 | MATLAB | 1,293 | 43 | function lengths = trk_length(tracks)
%TRK_LENGTH - Calculate the lengths of tracks
%
% Syntax: lengths = trk_length(tracks)
%
% Inputs:
% tracks - TrackVis track group. For tracks all of the same length (i.e.
% TRK_INTERP has been run), either structure or matrix form is fine.
%
% Outputs:
% lengths... |
08ae69f7d4903cba2d787095c1d1ab5eaefdd600cd2766a95be4f294dd064598 | MATLAB | 1,294 | 49 | function [high, low, T, bhi, blo] = hilo_all_events(ratList, bstruct, pstruct,...
thirdrew_arg)
%%plot response aligned to event in high versus low blocks
%%input:
%ratlist = which rats to run through on at a time
%pstruct = aligned photometry data by rat
%bstruct = aligned behavioral data by rat
high = cell(lengt... |
6cea85347b6b6cff08cbbc48ee6b8bc9da53d304bd9cefbd54f44fc39d7efa3d | MATLAB | 1,294 | 50 | function ft_lpfilter(input, TR, cutoff_lowpass, order)
% Lowpass filter
%
% ft_lpfilter(input, TR, cutoff_lowpass, order)
%
% Inputs:
% input - file name of time series.
% TR - repetition time in s.
% cutoff_lowpass - lowpass 1/cutoff frequency in Hz.
% order - order of butterworth... |
752bbcba98562df94c57930ad4b8bf4be3c2834fee4a3376a62756bbbed940d9 | MATLAB | 1,294 | 41 | %{
# Average filterStatistics
-> stimulus.MovieClip
---
kurtosis : float # mean filter kurtosis
mean : float # mean filter responses
std : float # mean std of filters
sparseness : float # mean popsparseness of filters
nmean ... |
b694f86250c312e6af45a5ba5a6b9405dd10bf7f2e0bef5bb74ae60b9d51fd40 | MATLAB | 1,294 | 38 | function blockFixationPosition = setFixationPosition(cfg)
%
% blockFixationPosition = setFixationPosition(cfg)
%
% Compute the fixation position (center of the stimulation) for the MT/MST localizer
% in a matrix of size ``nbBlocks`` by ``nbEventsPerBlock``
%
%
% (C) Copyright 2022 CPP vi... |
f366c78eafddbfe8c89113600b01397bb0fc8c3c57a82794ad524f0d4e1b4755 | MATLAB | 1,294 | 49 | function y = tapas_physio_maxfilter(x, n)
% Computes maximum over sliding window as a filtered version of the input
%
% y = tapas_physio_maxfilter(x, n)
%
% IN
% x signal
% n number of samples in sliding window
%
% OUT
% y max-filtered signal
%
% EXAMPLE
% tapas_physio_maxfilter
%
% See also
% Author... |
33d13252e22b981b00da3abe296f8fbd25eb08b8d24819a37cfb9c3a34916b7a | MATLAB | 1,295 | 34 | clear all;
clc;
% % Add software, add DPABI before spm
if ismac
addpath(genpath(fullfile('..', 'DPABI_V8.1_240101')));
addpath(genpath(fullfile('..', 'REST_V1.8_130615')));
addpath(fullfile('..', 'spm'));
elseif ispc
addpath(genpath(fullfile('..', 'DPABI_V8.1_240101')));
addpath(genpath(fullfile('.... |
42fa467d4b599bbad84ac270a0719c6bcf2a02dce492012149bc778f9f7f1f45 | MATLAB | 1,295 | 23 | function Data = UpdateData(Data, used_stimval, response, anstime, condition, depthcond, gpcond, signalD, signalGP)
s = condition; %staircase
Data.Data.PerCondition.StimVals{s} = [Data.Data.PerCondition.StimVals{s}; used_stimval];
Data.Data.PerCondition.Responses{s} = [Data.Data.PerCondition.Responses{s}; respon... |
4dc43dd5c7d1c01fbf541bc3a4d144bb01ac2e8bb3ba50c0ea268960756e6aea | MATLAB | 1,295 | 34 | clear all;
clc;
% % Add software, add DPABI before spm
if ismac
addpath(genpath(fullfile('..', 'DPABI_V8.1_240101')));
addpath(genpath(fullfile('..', 'REST_V1.8_130615')));
addpath(fullfile('..', 'spm'));
elseif ispc
addpath(genpath(fullfile('..', 'DPABI_V8.1_240101')));
addpath(genpath(fullfile('.... |
5b2c873d43a9036b593fcc011552d8ac0e9a3334679ead6c507ab418f14d26a6 | MATLAB | 1,295 | 34 | clear all;
clc;
% % Add software, add DPABI before spm
if ismac
addpath(genpath(fullfile('..', 'DPABI_V8.1_240101')));
addpath(genpath(fullfile('..', 'REST_V1.8_130615')));
addpath(fullfile('..', 'spm'));
elseif ispc
addpath(genpath(fullfile('..', 'DPABI_V8.1_240101')));
addpath(genpath(fullfile('.... |
a80b6c4463eaab2d59f3e3d68a63f5ceb72d34e6c2f4c29572d8024deedb7850 | MATLAB | 1,295 | 66 | clc;clear;close all
hold on
axis([ 0 100 0 100])
set(gca,'YLim',[0 100]);
set(gca,'XLim',[0 100]);
set(gcf,'MenuBar','none');
% axis off;
box on;
set(gcf,'color','black');
colordef black;
% set(gca,'LooseInset',get(gca,'TightInset'))
% set(gca, 'LooseInset', [0,0,0,0]);
set(gca, 'LooseInset', [500,500,500,500]);
x_... |
cad9b1b689338c99de59fee390d429b8f160a814ee673a077d4dbf3de99b8ddb | MATLAB | 1,295 | 33 | function getTriggers_init(params, flag)
% initializes/allocates trigger labels to each session cache file
% based on the flag
% these variables are needed later to select the relevant trials
% (c) Jiri, Nov16
for sess = 1:size(params.storage.sessionCacheFiles,2)
if strcmp(flag,'trials_events')
clear pred... |
ed1f8432d0b333820850ac1993257c602e039031179133062f2889fce3532011 | MATLAB | 1,295 | 50 | function ft_lpfilter(input, TR, cutoff_lowpass, order)
% Lowpass filter
%
% ft_lpfilter(input, TR, cutoff_lowpass, order)
%
% Inputs:
% input - file name of time series.
% TR - repetition time in s.
% cutoff_lowpass - lowpass 1/cutoff frequency in Hz.
% order - order of butterworth... |
fa9fce6a3def998df040761d74fc8b83491d6a1f715237babebac3afe43ecf9b | MATLAB | 1,295 | 38 | %{
# population map
-> tune.DotRF
---
response_map : blob # average response for each location
center_x : float # (fraction of x) center of receptive field on x, from Gaussian fits
center_y : float # (fraction of x) center of receptive field on y, from Gaussian fits
sn... |
3372c7b3dc861a2955cc14faa0cb3dc8036d6bad33e270e7f3cdbd34a5c29338 | MATLAB | 1,296 | 25 | %{
rf.EyeFrame (manual) # eye tracking info for each frame of a movie
-> rf.Eye
frame : int # frame number in movie
---
ismanual = 0 : boolean # TRUE if pupil was manually detected
isblink = 0 : boolean ... |
5f8d737dd8dc8d60f9d7e6a790de45aaeae005c6c125f4c51ecb60d015bd8520 | MATLAB | 1,296 | 39 | % For the process of DSC-MRI
% Youjie Wang, 2025-07-26. wangyoujie2002@163.com
% params
toolbox_dir = '/this/is/for/nipype/dsc_mri_toolbox'; % path to the DSC-MRI toolbox
DSC_info = niftiinfo('/this/is/for/nipype/pwi_path');
mask_path = '/this/is/for/nipype/mask_path'; % path to the mask file
TE = '/this/is/for/nip... |
60449c81d5efa1d714bf6b21f235c0f182c7fb84016cac50f0cb62f2f264b2ac | MATLAB | 1,296 | 42 | function [parcel_stats, all_surf_handles] = Meta_Parcel_results(parcels, parcel_stats)
% [parcel_stats, all_surf_handles] = Meta_Parcel_results(parcels, parcel_stats)
%
% Get results and images for parcels created in Meta_Parcel
nparcels = length(parcels);
fprintf('There are %3.0f parcels\n', nparcels);
f... |
d43d38d9b6b9caa69da5fa601f85d34f5b0b57d38a45f3847def9f5c230d645c | MATLAB | 1,296 | 44 | function surf = SurfStatAvSurf( filenames, fun );
%Average, minimum or maximum of surfaces.
%
% Usage: surf = SurfStatAvSurf( filenames [, fun] );
%
% filenames = n x k cell array of names of files.
% fun = function handle to apply to two surfaces, e.g.
% = @plus (default) will give the average of the... |
3f3da89408c958d4797284eb0c4fe59f88c2f4dae23804c547a1e2b495f1088a | MATLAB | 1,297 | 40 | function fpFile = tapas_physio_filename2path(filename)
% Converts string (also within a cell) of filename in an absolute path,
% leaves it unaltered, if it is one already
%
% output = tapas_physio_filename2path(input)
%
% IN
% filename (cell) string of filename, with or without absolute path
% OUT
% fpFile ... |
0a6f2c00ead116d1f3ac65cc080aa5b20f64524abd9072264c2f1427e48e632c | MATLAB | 1,300 | 54 | %% function u = ARLO(y,x)
%
% Description: Fast monoexponential fitting by auto-regression
% Samples have to be evenly sampled (i.e. even spacing)
% At least 3 samples are needed
% Assuming time series in the last dimension
% ref: Pei et al. MRM 73:843-850(2015)
% e.g. for function y=exp(-x/u), u can be estimated by AR... |
1a22d650786e42886f565e4b9b2764abff0d3488376919693793ce3d4c376a0a | MATLAB | 1,301 | 52 | function [rocky_out,blobber_out,detector_out] = score_hylid(hylid_struct,detector_img,blob_thresh,targ_filt,title_str,blob_figh,roc_figh)
if ~exist('blob_figh','var')
blob_figh = figure();
end
if ~exist('roc_figh','var')
roc_figh = figure();
end
detector_out = hylid_struct;
detector_out.Data = detector_img;
d... |
530d92fde07b52dae0f0afe47664bae2c755e825dd8bdfb1559a26aaa1748123 | MATLAB | 1,301 | 61 | function varargout = plot(varargin)
% plot method for GIfTI objects
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
% Guillaume Flandin
% $Id: plot.m 3556 2009-11-11 18:20:34Z guillaume $
% if ishandle(varargin{1})
% h = figur... |
c757d4c4e49e17f59bddce51a6e6ace5a400ceafd35b4b786d7de6ec39075067 | MATLAB | 1,301 | 47 | function [yc,yc_weighted,w] = nnrcalcy(neighbors_y,neighbors_distance,K)
% version 2.0 - June 2016
% Kamel Mansouri
% NCCT US EPA
% mansourikamel@gmail.com
% calc response on the basis of K neighbors
yc = mean(neighbors_y);
% old weighted version
% if sum(neighbors_distance) > 0
% w = ones(1,length(neighbors_y... |
3658bd8ff445fee436b1471fde1935342799e38b771d88eb6b2d90fe8e01b2c8 | MATLAB | 1,302 | 53 | function [Q A] = test08(A)
% function test80()
%
% Finds a proper rotation matrix Q such that QA = -AQ, where A is a
% skew-symmetric matrix.
%
% See personal notes of June 12, 2012
%
% This file is part of Manopt: www.manopt.org.
% Original author: Nicolas Boumal, Dec. 30, 2012.
% Contributors:
% Change log:
... |
3f5d39fe7969f362a91c78608ec9e2110265a1a4bcc4fd492ae74d009639b260 | MATLAB | 1,302 | 52 | function fear_makeIcaCoactEvtFile(basename)
% clear
% basename='~/data/Fear/triple/achel180320/achel180320';
% basename='~/data/Fear/triple/hoegaarden181115/hoegaarden181115';
load([basename '.basicMetaData.mat'])
fprintf('%s start %s with data of %s\n',datestr(now),mfilename,basicMetaData.SessionName)
%%
[fPath,fNa... |
cacceac64babd0e8d4046e6a009c6ff44e609a6cc2f1a1059a06dbb271f135a4 | MATLAB | 1,302 | 62 | function [outputArg1,outputArg2] = PlotSubjectMeans(ResponseMatrix, TitleStr)
if ~exist('TitleStr','var')
% title parameter does not exist, so default it to something
TitleStr = ' ';
end
% --- means & standard deviation per azimuth for this subject
s_mean = mean(ResponseMatrix);
s_std = std(ResponseMa... |
3bb0681a5880cac38c98081c25ba6fa7baa1b72c2f786729ffbe9113a634e115 | MATLAB | 1,303 | 34 | function [inputXr, inputEr, inputIr, inputTr] = get_mean_current(rate, rateX, weight_file, param)
load(weight_file, 'presynIDX','presynIDE','presynIDI');
N = size(rate,1);
M = size(rate,2);
inputX = zeros(N,2);
inputE = zeros(N,1);
inputI = zeros(N,1);
inputXr = zeros(N,M,2);
inputEr = zeros(N,M);
inputIr = z... |
8e3f125c1f391378ddf4d41596b44222e8bb9fe099d2828ed7579524de0155eb | MATLAB | 1,303 | 41 | function c = tapas_align_priors(c)
% Aligns c.priormus and c.priorsas with the contents of the explicit prior
% definitions.
%
% Example:
% >> c_prc = tapas_ehgf_config;
% >> c_prc.ommu(2) = -2;
% >> c_prc = tapas_align_priors(c_prc)
%
% --------------------------------------------------------------------------... |
b5a8779338fd768e884632762a8a558c3bed70e90e15ebafcbb1d4a506223ceb | MATLAB | 1,303 | 36 | function outputs = loadClassifierAll(dataPath, datasets, model)
% Wrapper over load---Classifier scripts to run models for all datasets
% Loop
outputs = struct('mouse', cellfun(@(x) x{1}, datasets, 'UniformOutput', false));
for dataset = datasets
% Requires combined M1 and S1 struct, different from regression func... |
f47b6309ebef48546a2425f892ebe5b91850d24c2b0bcec491e8906300ffec9d | MATLAB | 1,303 | 48 | function fhArray = plot_rois(this, varargin)
%Plots Rois (different types, e.g. boxplot, time series) for all rois
%
% output = plot_rois(input)
%
% IN
% selectedRois [1,nRois] index vector of cell in MrImage.rois,
% or all (Inf)
% default: Inf
%
% varargin for MrRoi.plot (... |
fe494d74f2ea0d0fa12b5462ee63da118f4ba49fc3896acb2517267a8dc83b60 | MATLAB | 1,303 | 47 | function [Zscore, Pvalue] = CompCoefs(r1, r2, n1, n2, tail)
%==========================================================================
% This function is used to test the difference between two correlation
% coefficients.
%
%
% Syntax: function [Zscore, Pvalue] = gretna_ztest_two_corrcoef(r1, r2, n1, n2, type)... |
056b6ab3d072b51d99d6daa0e6c23d766b8e59adafd8c6e78aa0ff28174daf22 | MATLAB | 1,304 | 25 | function TMSRealign (DataDir)
TemImg = dir([DataDir,filesep,'*.nii']) ;
for i = 1 : length(TemImg)
TempScan(i,1)= {[DataDir,filesep,TemImg(i).name ',1'] } ;
end
matlabbatch{1}.spm.spatial.realign.estimate.data = {TempScan} ;
% matlabbatch{1}.spm.spatial.realign.estimate.data =
% {
% ... |
0839bdd51ec91b2702e67f4a4baab3d916c2441872063c548046738231fb71d8 | MATLAB | 1,304 | 51 | function RDMsOut = concatenateRDMs(varargin)
% RDMsOut = concatenateRDMs(RDMs1[, RDMs2[, ...]])
% concatenates a number of wrapped RDMs (RDM structures).
% the main difference between this function and the similar one called
% 'concatRDMs' is that this function requires the input to be wrapped RDM
% st
% CW 5-2010, 6-... |
2deb7647ac70733fccac98a7be6cf4bf163247b0ea854156822914e01e47d25e | MATLAB | 1,304 | 50 | function [p alpha] = circ_vmpdf(alpha, thetahat, kappa, period)
% [p alpha] = circ_vmpdf(alpha, w, p)
% Computes the circular von Mises pdf with preferred direction thetahat
% and concentration kappa at each of the angles in alpha
%
% The vmpdf is given by f(phi) =
% (1/(2pi*I0(kappa))*exp(kappa*cos(phi-theta... |
4a93ca823dfcb4e75ed35259648a1b36a901d2fad72bc4cc8004ee598558ec3b | MATLAB | 1,304 | 42 | function [RPE, AUC, Kappa] =...
align_pdata_and_mdl(ratname, pdata, bdata,...
BestFitEarly, BestFitLate,...
auc1, auc2)
% align_pdata_and_mdl - aligns model fits and photometry data
% INPUTS:
% ratname - rat ID
% pdata - photometry data
% bdata - corresponding behavioral data
% BestFitEarly - Early ... |
504cb57cd77dba9679ff7c01e16c41dea38bb3e77377056537c979b378849092 | MATLAB | 1,304 | 52 | function qq = ppdiff(pp,j)
%PPDIFF Differentiate piecewise polynomial.
% QQ = PPDIFF(PP,J) returns the J:th derivative of a piecewise
% polynomial PP. PP must be on the form evaluated by PPVAL. QQ is a
% piecewise polynomial on the same form. Default value for J is 1.
%
% Example:
% x = linspace(-p... |
8b1bfdc37e752d25b53e59988f4d34b47e9af698cf7abadcea079eead5592c7b | MATLAB | 1,304 | 52 | function [token, remainder, quotient] = strtok(string, delimiters)
%Modified version of STRTOK to also return the quotient
% string = [quotient token remainder]
%STRTOK Find token in string.
% STRTOK(S) returns the first token in the string S delimited
% by "white space". Any leading white space characters are i... |
f350f4dd32c4aad7430dc8961d762e2f4acd8af386cba15669693682583c65eb | MATLAB | 1,304 | 40 | function osp_onZoom( source, ~ ,gui)
%% osp_onLeftX
% Callback function on process click on left x voxel direction button.
%
%
% USAGE:
% osp_onLeftX( ~, ~ ,gui);
%
% INPUT: gui = gui class containing all handles and the MRSCont
%
% OUTPUT: Changes in gui parameters and MRSCont are written ... |
06d3eb054c2a78f6690601712aab9979b13c3d1deac430209750308eb87cab86 | MATLAB | 1,305 | 33 | function X = unwarp_precision(XX)
pxperline = size(XX,2); % pixel per line
xy_conversionfactor = 477/512; % empirically found through calibration for my setup
pxperline_new = pxperline*xy_conversionfactor;
f_res = 7.91e3; % resonant scanning frequency
linetime = 1/f_res/2;
linedwelltime = line... |
5396019c3086c82b3d249425fb3ca8938d1412464ff3becf7c0f7192d66816a1 | MATLAB | 1,305 | 36 | function V = spm_write_plane(V,dat,n)
% Write transverse plane(s) of image data.
% FORMAT VO = spm_write_plane(V,dat,n)
% V - data structure containing image information.
% - see spm_vol for a description.
% dat - the two/three dimensional image to write.
% n - the plane number(s) (beginning from 1). If an en... |
6d998b156b2b29607d85147df1905ceca3a6a68fbebb23a8904f234da4a8c104 | MATLAB | 1,305 | 47 |
clearvars
load(which('MLEFit.mat'));
[t123idx,sRow,sCol,concT123,rspT123] = prep_ds_data();
x0Vec = cMatrixMLE(t123idx);
%% perform fitting on individual curves using previously generated distributions
h = waitbar(0,sprintf('Fitting odor-ORN pair %d/%d',0,size(rspT123,3)));
for ii = 1:size(rspT123,3)
data = rsp... |
838596013bed96432a73a14c7c0b43b04397f88141f17345a9481f7be815f387 | MATLAB | 1,305 | 57 | function h=textInMM(Xpos,Ypos,String,varargin)
%%
targetPos=[Xpos,Ypos]/10;
if length(varargin)==1 && iscell(varargin)
Property=varargin{1};
else
Property=varargin;
end
unit=get(gcf,'paperunit');
if ~strcmp(unit,'centimeters')
set(gcf,'paperunit','centimeters')
end
paperPos=get(gcf,'paperPosition');
boxP... |
a571ba5726d4413932c717e948b473e41879c5abef2ec4ceac3400b0bc9cb2a8 | MATLAB | 1,305 | 50 | function result = PCA(data,param,result)
% %beletehetõ hogy veszi e bementnek az eigenvektoroat, if existes téma
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% the data
[N,n]=size(data.X);
odim = param.q; %projection to q-dimension
% calculating autocorrelation matrix
A = zeros(n);
me = zeros(1,n);... |
b79793f676988bfde9090f642d6171c1cf8f1e7261666cdcab91a71d2f5d9b78 | MATLAB | 1,306 | 42 | function [R, M] = timeClus(R, M, field)
% Group trials by median of the desired timing field
% Get times
medFieldTime_L = nanmedian([R([R.goodDLC] == 1 & [R.LR] == 1).(field)]);
medFieldTime_R = nanmedian([R([R.goodDLC] == 1 & [R.LR] == 2).(field)]);
% Save information
M.clusField = [field 'Clus'];
cmapClus_L = [[0,0... |
fe5ca59fe842b3c42f2227d1d8d3d853e53a0e19b3d462a8e90e42afe6155cf6 | MATLAB | 1,307 | 46 | function [mat] = vec2sqmat(vec, format)
% converts vectorized matrix back into square matrix format.
% INPUT:
% format (str) = structure of the matrix before vectorization (e.g. triu, tril, full)
% get number of edges
E = length(vec);
switch format
case 'triu'
% get number of nodes by solving: 0... |
02d0c54312c677470f5001fcfde8770458825fe845d75334875fb883e442545f | MATLAB | 1,308 | 47 | function [Fval sig f A t] = ftestmovingwinc(data,movingwin,params,p,plt)
% compute Thompson f-statistic for each segment within a sliding window
% Fval is a [num_window x num_freqs] matrix of f-values
% sig is the f-value threshold corresponding to the desired significance level of p
if nargin<5
plt = 'n';
end
% ... |
244eddebd459d643b4d9d09f6faaac7552cb482291fbc47796254e7bad8184b8 | MATLAB | 1,308 | 26 | %{
vis2p.Experiments (manual) # Root table for two-photon experiments. Populated manually.
-> vis2p.Mice
exp_date : date # experiment date
---
operator : enum('Dimitri','Manolis','Patrick','Cathryn','Shan') # m) experimenter's name
mass=null : decimal(4,1) ... |
6e0fa97fa2244af0d831a3a14f977a2bd1b481102d5c6ffb5b63f000bf4dd146 | MATLAB | 1,308 | 52 | function analyzebehavior_nsd_filecheck
nsdsetup;
% loop over subject
for p=1:length(allnsdids), allnsdids{p}
% find all scan directories
dirs0 = matchfiles(sprintf('%s/rawdata/*-%s-nsd??',nsddir,allnsdids{p}));
% for each scan session
for q=1:length(dirs0), dirs0{q}
% get the session number from ... |
859bba586fd7cd5a5cbb1cc3bed10cdc7cd04f19608051e6b4a89592cf378ce4 | MATLAB | 1,308 | 61 | %% TE = readTEfromJSON(filenames)
%
% Input
% --------------
% filenames : json file fullname(s)
%
% Output
% --------------
% TE : echo times
%
% Description:
%
% Kwok-shing Chan @ DCCN
% k.chan@donders.ru.nl
% Date created: 6 September 2018
% Date last modified:
%
%
% function [TE] = readTEfromJSON(fil... |
88c218927c608c87ada122d2d553ca916acb8c5194cb2953ea26e31076e321d3 | MATLAB | 1,308 | 60 | function [l,d,perm] = mchol(A,mu)
% [l,d,perm] = mchol(A,mu)
% Compute the Gill-Murray modified LDL factorization of A,
if nargin < 2
mu = 1e-12;
end
n = size(A,1);
l = eye(n);
d = zeros(n,1);
perm = 1:n;
for i = 1:n
c(i,i) = A(i,i);
end
% Compute modification parameters
gamma = max(abs(di... |
fe67fb7fb4f1b18811b55235d0b0b4ee486f4bcac84207ac054837316787a423 | MATLAB | 1,308 | 47 | function [yc,yc_weighted,w] = nnrcalcy2(neighbors_y,neighbors_distance,K)
% version 2.0 - June 2016
% Kamel Mansouri
% NCCT US EPA
% mansourikamel@gmail.com
% calc response on the basis of K neighbors
yc = mean(neighbors_y);
% old weighted version
% if sum(neighbors_distance) > 0
% w = ones(1,length(neighbors_... |
6f4b8d58d85657f08338fc4dfb55950591bacb462a28c2ec60253e32a906eb41 | MATLAB | 1,309 | 63 | function BC = createBC3D(meshvar)
% Creates a boundary condition structure from a mesh structure
% for a 3D structured mesh. The default boundary conditions on
% all boundaries are Neumann;
% The values of each boundary condition are defined as:
% BC.<position>. :
% a, b, c, where
% a*grad(phi).n + b*phi ... |
7eae344b12beeb8e404ba54b98b25799fed9f361337fad9156e031b0d740e5e0 | MATLAB | 1,309 | 40 | function osp_onLB( source, ~ ,gui)
%% osp_onLB
% Callback function on process click on left x voxel direction button.
%
%
% USAGE:
% osp_onLeftX( ~, ~ ,gui);
%
% INPUT: gui = gui class containing all handles and the MRSCont
%
% OUTPUT: Changes in gui parameters and MRSCont are written into ... |
b815a0ea3ffdb3f3d21655f2609301c3e1fca0137b8b82d8a4a1d7160008212a | MATLAB | 1,310 | 30 | function[xvalsgradient] = convert_to_thermo(xvals, yvals, ppcm)
%% convert_to_thermo transforms track data in pixels to cm data then to values of the given thermotaxis gradient.
% Requires a gradient slope (value-per-cm), and the min/max values of the gradient.
% Assumes a linear gradient across the x-axis of the ... |
15bad6b80fe3dd527eccc0ae1bcc1c4d79dcabe7491f8cb7f258c15170a8e846 | MATLAB | 1,311 | 47 | function [stats, cfg] = plot1Dcluster(data,cfg)
% cluster correct and plot significance
cfgfields = fieldnames(cfg);
if ~ismember(cfgfields,'nperm')
cfg.nperm = 1000;
end
if ~ismember(cfgfields,'minp')
cfg.minp = 1/cfg.nperm;
end
if ~ismember(cfgfields,'pthresh')
cfg.pthresh = 0.05;
end
if ~ismember(cfgfiel... |
84248d9b16e44150b4acc7e17cac1a15bf8b7743027c14693458fb9ec282a33a | MATLAB | 1,311 | 41 | function plot( obj )
n = length( obj );
nCols = ceil(sqrt(n)*1.2);
nRows = ceil( n/nCols );
if nRows==1
nCols = n;
end
count = 0;
for key=enumerate( obj )
count = count+1;
subplot(nRows,nCols,count);
[r,g] = take( Movies(key), 'red', 'green' );
%r = r - 0.1*polyfitImage( r, 3, 25, 25 ); % equ... |
9344abffb3d081593de84c73a24d1574610c32105f09aaef9412c20512400dd5 | MATLAB | 1,311 | 38 | function rgbColors = valuesToColormap(values, cmapName, vmin, vmax)
% valuesToColormap: Map numeric values to RGB colors using a colormap.
% Written by chatgpt with the following prompt:
% In matlab, can you write me code to convert a set of values to color
% values specified by a colormap,
% I will provide the min an... |
87ff1a97851e60b6d8751f9cdfbcd4c5e0bb65d04753fb42a7e80e01e80c563d | MATLAB | 1,312 | 61 | function tapas_linear_validate_data(y, u)
%%
%
% aponteeduardo@gmail.com
% copyright (C) 2016
%
if ~iscell(y)
error('tapas:linear:validate_data', 'y should be a cell array');
end
if ~iscell(u)
error('tapas:linear:validate_data', 'y should be a cell array');
end
if ~ (size(y, 2) == 1)
error('tapas:linea... |
41fe4ae2c37752478cbaf050f6df0a837991563f5cb072c4d4f29c451d2c8bb6 | MATLAB | 1,313 | 39 | function ehess = essential_ehessE2ehess(X, egradE, ehessE, S)
% Converts the Hessian in essential matrix E to the Hessian in X.
%
% function ehess = essential_ehessE2ehess(X, egradE, ehessE, S)
%
% egradE is the function handle for the gradient in E.
% ehessE is the function handle for the Hessian in E.
% S is the sear... |
5fc65bd9454e5c92895b481120bb09aafead6453a8801bfd3ccfab3712fb7006 | MATLAB | 1,313 | 40 | function this = redo(this)
% restores next processing step status of MrSeries, after previous undo (or
% restore)
%
% Y = MrSeries()
% Y.redo()
%
% This is a method of class MrSeries.
%
% IN
% doDeleteLastStep false - last step is kept for possible restore
% true - last step is removed f... |
8eb0af6644a5d0fb5405d8898dd7ab707e0bc7dcb583e9c082e6ecfbc179e234 | MATLAB | 1,313 | 36 | function cnn_vgg_faces()
%CNN_VGG_FACES Demonstrates how to use VGG-Face
% Setup MatConvNet.
run(fullfile(fileparts(mfilename('fullpath')), ...
'..', '..', 'matlab', 'vl_setupnn.m')) ;
% Load the VGG-Face model.
modelPath = fullfile(vl_rootnn,'data','models','vgg-face.mat') ;
if ~exist(modelPath)
fprintf('Downlo... |
a880e66d25a1968f712682595a24f6931d9c8376b4ed15f7303c27e8ca9dbcd7 | MATLAB | 1,314 | 57 | function [err, Info] = Info_1D(v, fname)
%
% [err, Info] = Info_1D(M, name);
% an Info structure for a 1D file. To use with WriteBrik
%
% Specify name if you want Info.RootName and Info.Extension_1D to be filled out
% otherwise, you can do that on your own later.
%
% see also Read_1D, BrikLoad, and BrikInfo
% Ziad ... |
092df56e1829272a640f8816dd024ed97446f1f51740ccec0b408e89a4706109 | MATLAB | 1,315 | 38 | function b = multihconj(a, dim)
%MULTIHCONJ Hermitian conjugating arrays of matrices.
% B = MULTIHCONJ(A) is equivalent to B = MULTIHCONJ(A, DIM), where
% DIM = 1.
%
% B = MULTIHCONJ(A, DIM) is equivalent to
% B = PERMUTE(A, [1:DIM-1, DIM+1, DIM, DIM+2:NDIMS(A)]), where A is an
% array containing N P-by... |
dba8719e1470358bdc165557b36920ee26c21a7462281890a0fe621400383570 | MATLAB | 1,315 | 41 | function faceGrad = gradientTermCylindrical3D(phi)
% this function calculates the gradient of a variable in x and y direction
% it checks for the availability of the ghost variables and use them, otherwise
% estimate them, assuming a zero gradient on the boundaries
%
% SYNOPSIS:
% faceGrad = gradientTermCylindrical3D... |
e0e0b06bd2f0f2e1810eee7d0b251f7f1fb5a2b58d3d3b467010e5174ee827c4 | MATLAB | 1,315 | 49 | classdef Loss < dagnn.ElementWise
properties
loss = 'softmaxlog'
opts = {}
end
properties (Transient)
average = 0
numAveraged = 0
end
methods
function outputs = forward(obj, inputs, params)
outputs{1} = vl_nnloss(inputs{1}, inputs{2}, [], 'loss', obj.loss, obj.opts{:}) ;
n = ... |
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