sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
9742263f0751b91d23ca91a40d33bd97e8d698e5ca54a705bd96d5e98b6e15a0 | MATLAB | 643 | 16 | function pstruct = tapas_ph_binary_namep(pvec)
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2015 Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, which is released under the terms of the GNU General Public
% Licence (GPL)... |
f48cf3e06f1931ddbc1ce630b3a064939975fd148168caf515760b294dce2fd6 | MATLAB | 643 | 23 | function E = regional_activation_energy(FC)
% Compute the regional activation energy for every regions under whole
% brain control.
% This function need to import the function in
% functional_controllability/Energy Efficiency
%
% inputs: FC, N-by-N, connectivity matrix
%
% outputs: E, N-by-1 vector,... |
4ee299663e0256f2f91b7ee5c2a9277a2e4c317c0c3fa4539282cd78f1d64dce | MATLAB | 644 | 15 | %{
rf.Stack (manual) # scanimage scan info
-> rf.Session
stack_idx : smallint # number of TIFF stack file
---
-> rf.Site
bottom_z : int # z location at bottom of the stack
surf_z : int # z location of surfac... |
d268af45704b7d9d3c36418fc70ea7c538972021f5d60ed090f5d4a00b76a6e8 | MATLAB | 644 | 15 | function [pvec, pstruct] = tapas_bayes_optimal_categorical_transp(r, ptrans)
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2012-2013 Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, which is released under the terms of the... |
d863e279c38542c33f43815f06a6e43b75492854d319a073e444d85304a743b6 | MATLAB | 644 | 37 | function r = plus(p,q)
% this function adds the x, y, and z values of the structures that I use in
% the FVtool.
%
% SYNOPSIS:
%
%
% PARAMETERS:
%
%
% RETURNS:
%
%
% EXAMPLE:
%
% SEE ALSO:
%
% Copyright (c) 2012-2016 Ali Akbar Eftekhari
% See the license file
if (isa(p, 'FaceVariable')&&isa(q, 'FaceVariable'))
r=... |
fe34f9131d1637cab6c7ec60790ca4005fdf68d0e4b9632a04d8854a83475975 | MATLAB | 644 | 20 | function a = vl_taccum(alpha, a, beta, b)
%VL_TACCUM Compute A = alpha A + beta B
% A = VL_TACCUM(ALPHA, A, BETA, B) computes efficiently A = alpha A
% + beta B. For GPU arrays, it performs its computation in place, by
% modifiying A without creating an additional copy.
% Copyright (C) 2016 Andrea Vedaldi.
% Al... |
116bac545f363eeb4c1246aa5cae08b27bdf113f5d7e7cdada68746d1f3a07c2 | MATLAB | 645 | 15 | function [output_traces] = get_trace_within_range(input_traces,glb_frame_ranges,sub_session_frame_range)
num_frames = sum( cellfun(@(x)numel(x),sub_session_frame_range));
num_sub_sessions = numel(sub_session_frame_range);
num_cells = size(input_traces,1);
output_traces = nan(num_cells,num_frames);
for s = 1:num_su... |
d0a35bf5f1748006c0df9f8946ecaab4bbeba16d4fc470e878326e2fd9303404 | MATLAB | 645 | 24 | function conn = computeConductanceMatrix(potentials, masked_atlas)
%%% Compute global connectivity matrix
%
% Author: Aina Frau-Pascual
roi_list0 = unique(masked_atlas); % consider 0 is background
roi_list = roi_list0(roi_list0>0);
nroi = size(roi_list,1);
conn = zeros(nroi, nroi);
for p1=1:nroi
for p2=1:... |
e153c4eb5a190449f5c885ac6755243679d01c89d36833f8bad61da51980c794 | MATLAB | 645 | 15 | %{
table_name : varchar(255) # className of the table
key_hash : char(32) # key hash
-----
status : enum("reserved","error","ignore") # if tuple is missing, the job is available
key=null : blob # structure containing the key
error_message="" : varchar(1023) # error me... |
01a76b960a8c5481f509c31357c3ad742917160b8b47df75704eb6a211457baf | MATLAB | 646 | 24 | % From:
% https://en.wikipedia.org/wiki/Otsu%27s_method
function level = otsu(histogramCounts)
total = sum(histogramCounts); % total number of pixels in the image
%% OTSU automatic thresholding
top = length(histogramCounts);
sumB = 0;
wB = 0;
maximum = 0.0;
sum1 = dot(0:top-1, histogramCounts);
for ii = 1:top
wF =... |
1283da0cf9dad7235064a6e46f6c308aa574d13a851ee1af492eb63a04a0fa68 | MATLAB | 646 | 35 | function phiBC = cellBoundary(phi, BC)
% This function calculates the value of the boundary cells and add them
% to the variable phi
%
% SYNOPSIS:
%
%
% PARAMETERS:
%
%
% RETURNS:
%
%
% EXAMPLE:
%
% SEE ALSO:
%
% Copyright (c) 2012-2016 Ali Akbar Eftekhari
% See the license file
% extract data from the mesh structure... |
5824ebab9a2ced65d4d6e28b989ecbf04a4d070e665a24fb4060dde451aab3fb | MATLAB | 646 | 16 | function pstruct = tapas_softmax_wld_namep(pvec)
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2019 Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, which is released under the terms of the GNU General Public
% Licence (GP... |
ed00f939ad9cb49be2b13bddbd5370b4c1f674d976db453964c3152e1e6be4bb | MATLAB | 646 | 37 | function r = or(p,q)
% this function compares the x, y, and z values of the structures that I use in
% the FVtool.
%
% SYNOPSIS:
%
%
% PARAMETERS:
%
%
% RETURNS:
%
%
% EXAMPLE:
%
% SEE ALSO:
%
% Copyright (c) 2012-2016 Ali Akbar Eftekhari
% See the license file
if (isa(p, 'FaceVariable')&&isa(q, 'FaceVariable'))
... |
f7c803db17d990dc3ecd3ca87176e003560839ee433beafe33f06f8191f554bd | MATLAB | 646 | 16 | function [neworoldforcecurve] = forcecurveneworold (filename)
% checks, if the forcecurve is new or old
% forcecurveneworold checks, if the first item on in the file specified by
% filename is "index" (new files), or "xPosition" (old files).
forcecurve = fopen(filename);
firstline = fgetl(forcecurve);
k = strfind... |
5dd628514a51d0a564c29afc813a006367f79b74d8214fcb45704fc96fdaf73f | MATLAB | 647 | 22 | function myshuffledMatrix = sub_shuffleAdjacencyMatrix(matrix)
%This function takes an adjacency matrix and shuffles the weights between
%the nodes to produce a random connectivity matrix
% Adham Elshahabi 3rd july 2013
myshuffledMatrix = zeros(size(matrix));
carrieriVector = [];
rng('shuffle')
for i = 1:size(matrix,... |
748c43f0913a6b05fdb3c829b8dcbfa83a0171b743d83b8b60864ad158d73168 | MATLAB | 647 | 37 | function r = and(p,q)
% this function compares the x, y, and z values of the structures that I use in
% the FVtool.
%
% SYNOPSIS:
%
%
% PARAMETERS:
%
%
% RETURNS:
%
%
% EXAMPLE:
%
% SEE ALSO:
%
% Copyright (c) 2012-2016 Ali Akbar Eftekhari
% See the license file
if (isa(p, 'FaceVariable')&&isa(q, 'FaceVariable'))
... |
7b0be4cc0228b076a181a220f195d8952b6a2893498f5c4e4e7a5a808d589756 | MATLAB | 647 | 18 | function spikes = GetSpikes(units,varargin)
%GetSpikes - Get spike timestamps.
%
% NOTE
%
% This function is provided for convenience. It simply calls <a href="matlab:help GetSpikeTimes">GetSpikeTimes</a>
% using the same parameters. See this function for details.
% Copyright (C) 2004-2017 by Michaël Zugaro
%
... |
bda89a3c9e6a3e3547d449324c0a55ece201c960a29952f7b3c7ee0102ad5485 | MATLAB | 647 | 16 | function importOpenField(rootName,dec)
%% loads the LFP and position data for a session and saves it all in a .mat file
%% rootName - file name common to all files. This will be 'rec01' or 'rec02'.
%% dec - factor by which to decimate the data
xml = LoadXml([rootName '.xml']);
f = dir([rootName '.lfp']);
a = me... |
486a91598517912dbc86b8b901d3823a12ee389437d2ca93adbdba29b9fe8c2c | MATLAB | 648 | 25 | function epis = preprocess_nsd_fixepi(epis,sessix)
switch sessix
case 35 % subj01-nsd02
epis{2}(:,:,:,128:152) = repmat(epis{2}(:,:,:,128),[1 1 1 152-128+1]);
case 40 % subj08-nsd02
% 04b, 5, and 6 need to be scaled by 0.78/0.4
epis{5} = (0.78/0.4) * epis{5};
epis{6} = (0.78/0.4) * epis{6};
epis{7} = (0... |
4a6b8448f66484cd59febcedf9c109d004a072db16d018766fdfb5c1fccbd259 | MATLAB | 648 | 27 | function [state] = tapas_vlinear_init_state(data, model, inference)
%%
%
% aponteeduardo@gmail.com
% copyright (C) 2016
%
[state] = tapas_linear_init_state(data, model, inference);
nc = numel(model.graph{1}.htheta.T);
% No need of kernels because of the Gibbs step
state.kernel{3} = [];
% The state now has a mean a... |
6682a290abfbdab03b99c0bca6e6732a5371a8d4b1994429ea960b8f4500a6b8 | MATLAB | 648 | 26 | function [p,h] = signrank_onesided(x);
% returns the p-value from a one-sided Wilcoxon signed rank test comparing
% against zero. The exact method is chosen to get the p-values with greater
% resolution.
%__________________________________________________________________________
% Copyright (C) 2012 Medical Research Co... |
697eee5a4d288d205ce85b677b5eda977357b0a53dabdfead39a4248d0a1b7e3 | MATLAB | 648 | 18 | function [neurons, M, config, kinematics] = loadLock4Classifier(mouse, session, config)
% Loads and locks:
% kinematics: eventLockKinematics struct (ignored if not needed)
% neurons: smoothed deconvolved events
% Load R struct with RADICaL for neural
[R, M, Rconfig] = loadData(mouse, session, 'R', 'DLC3', config.d... |
83595d566d681bec387490d93bcc508bb9c5255febc90f8dfbdaf9dc9f88ff3a | MATLAB | 648 | 30 | function plot_core_cells(ax,core_cells,clims)
% Reference paper: Herzog et al. 2020 "Scalable and accurate automated method
% for neuronal ensemble detection in spiking neural networks"
% https://www.biorxiv.org/content/10.1101/2020.10.12.335901v1
% Rubén Herzog October 2020
cla(ax);
hold(ax,'on');
[N,nens] = size(co... |
979bc3d801a2e0161c70ea1063591bdb897388883e608a613a3fcfa6f47a1a24 | MATLAB | 648 | 20 | %set the filename identifier
Identifiers = {'AAzst1avir.N02.*.HEAD', 'AAzst1avir.N05.*.HEAD'}; %Modify here
[err, ErrMessage, List] = zglobb (Identifiers);
%loop across all Bricks found
Nel = length(List);
for (i=1:1:Nel),
Input = List(i).name;
fprintf(1,'\nNow processing: %s ...', Input);
[ans, I_Prefix, View] = P... |
99fb6670f68dcc9cebdd06a16500f764c98e543df1f770fb14a7fe116bc857ca | MATLAB | 648 | 12 | function [MeanMatDat,STDMatDat]=matmean(MatDat)
% compute matrix mean and STD of 4D matrices with first 2 dimensions as indices and
% last two dimensions as the matrix
% it eliminates zero matrices
MatDatres=reshape(MatDat,[size(MatDat,1)*size(MatDat,2),size(MatDat,3)*size(MatDat,4)]);
ind=find(sum(MatDatres,2)~... |
ee1d02d64c913298b50fe6ef531ed69aa45a145d4846c46a19c50c146acd9480 | MATLAB | 648 | 38 | function [llh] = tapas_dlinear_hier_llh(data, theta, ptheta)
%% Likelihood of the nodes of a model with diagonal precision matrix.
% Note that this is the likelihood of several parameters theta 1 to n with mean
% mu and precision matrix diag(pe).
%
%
% aponteeduardo@gmail.com
% copyright (C) 2016
%
y = data.y;
u = da... |
aa3609742495d813a0346507c7c0b75f9be6a6c04e0cdda1d1cd9ef5d3a4fd50 | MATLAB | 649 | 20 | function cleanup_read_avw_img_slice(tmpfname)
% tmpfname = CLEANUP_READ_AVW_IMG_SLICE(tmpfname)
%
% This will delete the temporary files created by an earlier
% call to prepare_read_avw_img_slice.
% It is intended to be used together with read_avw_img_slice
% routine to avoid doing the conversion once per slice.
% ... |
f46819eaf6fea60a6a40693674b1018a3421c933fbc4a289dbad87acadcb8faf | MATLAB | 649 | 28 | function merged = merge_structs(struct1, struct2)
% MERGE_STRUCTS - Combine two structures
%
% H1 Line: Merge fields from two structures
%
% Syntax:
% merged = merge_structs(struct1, struct2)
%
% Description:
% Combines fields from two structures, with struct2 fields
% overwriting struct1 fields if duplicates exi... |
50d318ac1e00ef5238a2a3c3847aaaf6898cb69a8a23cc494d34c1aedc8e9ee3 | MATLAB | 650 | 34 | function BC = createBC(meshvar)
% function BC = createBC(meshvar)
% Creates a boundary condition structure from a mesh structure
% for a 2D mesh. The boundary conditions on all boundaries are Neumann;
% The index of each boundary condition is defined as:
% 1: Dirichlet
% 2: Neumann
% 3: Mixed
%
% SYNOPSIS:
%
%
% PARAME... |
5d1cfc85be9d35854c4476e14e854f634b39e4978b7ab88be57e248b1c7c416f | MATLAB | 650 | 26 | %% Script to convert hdr/img files to nii.
%This script uses SPM function, so you need to install SPM5 or later.
%Kiyotaka Nemoto 05-Nov-2014
%% directories
outDir = 'D:\outputResults\niftiBrains';
currDir = pwd;
cd(outDir);
%% select files
f = spm_select(Inf,'img$','Select img files to be converted');
%% convert ... |
5eec1c4632f34f52a654721112b2d91a28fe0276047ecbde9ba69384910d56b1 | MATLAB | 650 | 17 | function[OutName] = osp_RemoveSuffix(Name)
%% function[OutName] = osp_RemoveSuffix(Name)
% Function to remove suffix from filenames while respecting key-value pairs
% as defined in BIDs specification.
% i.e. RemoveSuffix('MyDataSet_acq-press_act') = MyDataSet_acq-press
% while RemoveSuffix('MyDataSet_acq-press') = MyD... |
9348b68cf1108abba0c73363157de642623135707fc37d50682e2ec64ddafe17 | MATLAB | 650 | 22 | function [rsc_mean, rsc_std] = get_rsc_mean_std(spktr)
% GET_RSC_MEAN_STD
% Syntax:
% [rsc_mean, rsc_std] = get_rsc_mean_std(spktr)
% Description:
% Compute mean and standard deviation of pairwise correlations among
% neurons given spike-count matrix.
% Input:
% spktr : [N x T] spike-count matrix (rows = neuron... |
f941e407cf4cd0942c65f7937a038ea0a8e0386e892c971f6e082ee7ebf74b8c | MATLAB | 650 | 30 | function [posterior] = tapas_sem_mixed_estimate_interface(data, ...
model, inference)
%%
%
% Input
%
% Output
%
% aponteeduardo@gmail.com
% copyright (C) 2016
%
% Verify input
tapas_validate_data(data);
tapas_validate_model(model);
tapas_validate_inference(inference);
% Does not need to be change... |
6aeb6caa1898c5fc14e66ec71ccb0d84e4b9e3f429daeb102e11a2da26dab612 | MATLAB | 651 | 25 | function [cmd,r]=surfing_afni_runbinary(cmd)
% Quick wrapper to either run a binary or get the command to run it
%
% FULLCMD=SURFING_AFNI_RUNBINARY(CMD)
%
% INPUT:
% CMD Command to run
% OUTPUT:
% FULLCMD Command preprended with some initialization stuff; currently
% only running .bash_prof... |
416f0df1f6bf434646eceeff2e49b0d7b8227acf976505febfd30a285dc86119 | MATLAB | 652 | 19 | function removeLayer(obj, layerName)
%REMOVELAYER Remove a layer from the network
% REMOVELAYER(OBJ, NAME) removes the layer NAME from the DagNN object
% OBJ. NAME can be a string or a cell array of strings.
% Copyright (C) 2015 Karel Lenc and Andrea Vedaldi.
% All rights reserved.
%
% This file is part of the VLF... |
33a25e6055da1633c17cc8a33367e4f58f126d8feea02fc8994280df36358e3d | MATLAB | 653 | 16 | function [Pools_OSI, Cells_OSI] = orientation_pools(sis_query,OSI,Cells_edos)
%Indice de selectividad a la orientacion de las celulas que participan en
%cada estado y en cada pool. LC05Feb14 La idea es relacionar los stoixeion
%con las celulas que son mas selectivas. OSI es un renglon que contiene el
%indice de selecti... |
343f95e96cf6046c0d2b316cdb8194a861a0b4582d4c9a7f8f5cf3fc677f25b3 | MATLAB | 653 | 14 | %{
tuning.DotRFMethod (lookup) # options for dot maping.
rf_method : tinyint # method number
---
onset_delay : float # response onset delay in msec
response_duration : float # response window in msec
rf_filter : float ... |
3519d3a1de66672d8158cb89c4366311e60f7aaf718f9273a78768b3858620b4 | MATLAB | 653 | 23 | function varargout = covPERiso(varargin)
% Wrapper for PERiodic covariance function covPER.m.
%
% Periodic covariance function from an arbitrary covariance function k0 via
% embedding IR^D into IC^D.
% The covariance function is parameterized as:
%
% k(x,z) = k0(u(x),u(z)), u(x) = [sin(pi*x/p); cos(pi*x/p)]
%
% where ... |
f073dc91f8f18ebe180f1a46e25aa555cfab4dd14623734249bd58b88564c60b | MATLAB | 653 | 15 | % Extract the numerical values from "s" into the column vector "v". The
% variable "s" can be of any type, including struct and cell array.
% Non-numerical elements are ignored. See also the reverse vec2any.m.
function v = any2vec(s)
v = [];
if isnumeric(s)
v = s(:); % numeric values are r... |
0cdb2c8fba4ab5c2470962f7f8e235aca68ca406450da53d563924d63dcfcceb | MATLAB | 654 | 15 | %% clear workspace
clear all; close all; clc;
%% find the location of this code
folder_project = fileparts(mfilename('set_up_paths_and_data_directories.m'));
%% Add paths (change this to where you have the dependencies installed)
addpath(genpath('C:\Users\pkragel\OneDrive - Emory\Documents\GitHub\Neuroimaging_Patter... |
14dc6a7efcb3217170cc403c3a275c43823ca0372e9fb7f586a79cd3b32f6d26 | MATLAB | 654 | 41 | %% (a)
% create a panel in gcf.
%
% "p" is called the "root panel", which is the special panel
% whose parent is the figure window, rather than another
% panel.
clc
close all
clear all
load 'c305a.mat'
p = panel();
% pack a 2x2 grid of panels into it.
p.pack(2, 2);
%% (b)
% plot into the first three panels
for m = ... |
e30f2e6c7459e0bcdc53afde2d056f19783dd9313f6d498fdc2d938fa972e0f5 | MATLAB | 654 | 24 | %{
aodpre.Spikes (computed) # traces of infered firing rates
-> aodpre.ExtractSpikes
-> aodpre.Trace
-----
spike_trace :longblob
%}
classdef Spikes < dj.Relvar
methods
function makeTuples(self, key)
dt = 1/fetch1(aodpre.Set & key, 'sampling_rate');
[X, traceKeys] = fetchn(aodpr... |
93dc655ec47ac2ac67cf224acc5b17289039f057dc8bc5f24976f611b3ab98c1 | MATLAB | 656 | 30 | function osp_onOsp( ~, ~)
%% osp_onOsp
% Callback function on osprey button click. Opens mail contact.
%
%
% USAGE:
% osp_onOsp( ~, ~ );
%
%
%
%
% AUTHORS:
% Dr. Helge Zoellner (Johns Hopkins University, 2020-01-16)
% hzoelln2@jhmi.edu
%
% CREDITS:
% This code is based on numerous functi... |
cc406183eda83526219e727ce059032dc7f89cc84fcb19b7ce2551f99237a70e | MATLAB | 656 | 22 | function [m,dm] = meanLinear(hyp, x)
% Linear mean function. The mean function is parameterized as:
%
% m(x) = sum_i c_i * x_i;
%
% The hyperparameter is:
%
% hyp = [ c_1
% c_2
% ..
% c_D ]
%
% Copyright (c) by Carl Edward Rasmussen and Hannes Nickisch, 2016-04-15.
%
% See also meanFunctions.m.... |
e48a60c326775c4e197290a7a3449c9afaeec039c0882866eb21aea78d3bb747 | MATLAB | 656 | 32 | function [state] = tapas_sampler_mc3(data, model, inference, state)
%% Sampler form population mcmc (mc3)
%
% aponteeduardo@gmail.com
% copyright (C) 2016
%
% Number of nodes
nn = numel(model.graph);
% Number of chains
nc = size(state.llh{1}, 2);
llh = sum(state.llh{1}, 1);
lpp = zeros(1, nc);
% Get the joint
for ... |
1d27d3cc32bb870ac8cd2508cddd664c43ec07104e7a24f0cc313aeb7f8f02cc | MATLAB | 657 | 22 | %% Setup script for EIF network simulation
% Define project root and key directories
rootDir = pwd;
dataDir = fullfile(rootDir, 'data');
utilsDir = fullfile(rootDir, 'src', 'utils');
figDir = fullfile(rootDir, 'src', 'figure');
simDir = fullfile(rootDir, 'src', 'simulation');
simScriptDir = fullfile(rootDir... |
915b3f1bf5d77565a2e54d274c08e7cb76d6e56f83231763840c3be55a686d64 | MATLAB | 657 | 26 | function d = dist_to_surface(coords, vertices)
% Euclidean distance of each of a set of [x y z] coords from a surface defined by a list of [x y z] vertices
%
% e.g.,
% coords = [-22 0 -12];
% vertices = vertices = get(p(1), 'Vertices');
%
% coords = [-22 0 -12; 30 30 30; 42 12 3];
% d = dist_to_surface(coords, vertices... |
c5d945a4c16f23b17eada0c81887c69dfe91504142e50ff99f6d3648191f7779 | MATLAB | 657 | 27 | function MM = markovmodel(X, N)
%% MARKOVMODEL
% Return an Nth order Markov model representation of the state sequence
% X where X is a row vector of length L or a matrix (L row * M columns)
% by Greg
if nargin < 2
N = 1;
end
[C1,~,S1] = unique(X,'rows');
M = [];
for(t=1+N:length(S1))
M = [M; S1(t-N:t)'];
en... |
c82a27ca2e59302a2586af9a079cb618a9b0c2f38c2299e04a8e6adfa6ccb219 | MATLAB | 657 | 19 | function [myelin] = DEMYELINATION(myelin,C3)
% C3: create tall 2 column array where col 1 is x pos, col 2 is y pos
C3_pos = [C3.x; C3.y]' ;
% Find where C3 cells occupy same place as myelin
[~,index_my,~] = intersect(myelin.colarray,C3_pos,'rows');
% Degrade the health of occupied myelin by 1 grade
myel... |
dd8898739e0f2b8924c1c236a91588b981c51a21a6016d9ef30e863c43545b41 | MATLAB | 657 | 30 | function [ output_args ] = read( filename )
%READ( filename ) Reads a text file and returns a cell array of the lines.
%
%
% === Jan Moelter, The University of Queensland, 2017 ===================
%
% Alternative implementation:
%
% i_ = fopen( filename , 'r' );
% while( ~boolean( feof(i_) ) )
% out... |
3a71540e2b0197998f451b6bc5066b20189bc60ecfb8a410d1439ab7711dc135 | MATLAB | 658 | 27 | %% sepia_print_checkbox_value(fid,str_pattern,action_handle)
%
% Input
% --------------
% fid : fid of the sepia config file
% str_pattern : string pattern to be printed after algorParam parameter
% action_handle : handle of the GUI popup
%
% Output
% --------------
% val : (optional) output
%
% D... |
345e4ea6c126d8605fa3f70822d78cfd1390b60bd61f9dd7e8942c26bd2c64e3 | MATLAB | 659 | 21 | function residuals = Residuals(variable, factor)
% Computes the residuals of a variable after removing the part that is
% explained by a factor (second input) using a linear fit.
%
% SEE CorrResiduals
%
%
% Copyright (C) 2024 by Ralitsa Todorova
%
% This program is free software; you can redistribute it and/or modify
... |
5d8eba32fe4cc140a3077c92d09532bc1e72f11cec82a9298db2c75deccb2c59 | MATLAB | 659 | 18 | function trace = remove_50Hz(trace,fs)
% Remove 50 Hz and harmonics from a given trace of sampling rate fs
fn = fs/2; % Nyquist frequency
f0 = 50:50:fn; % For 50 Hz and harmonics
freqRatio = f0/fn;
notchWidth = 0.1;
for n = 1:length(f0)
notchZeros = [exp(1i*pi*freqRatio(n)), exp(-1i*pi*freqRatio(n))]; ... |
73c6a42030af488fcc4800fe8de10f82be920ee6a45f968e0fd0a592c4b1bbf3 | MATLAB | 659 | 14 | function TMSDicomConvert(DicomDir,NiiDir)
[ProgramPath, fileN, extn] = fileparts(which('TMStarget.m'));
DicomDir
NiiDir
if ispc
eval([['!' ProgramPath,filesep,'DCM2NII',filesep 'dcm2nii.exe '],...
[ '-b ' ProgramPath,filesep,'DCM2NII',filesep,'TMSdcm2nii.ini'],...
[' -o ',NiiDir,' ... |
fb946d365b9db2edd38d60c6a0d0dcd667fdb5b19439371cbd3d0f7338719f6f | MATLAB | 659 | 20 | function a = vl_taccum(alpha, a, beta, b)
%VL_TACCUM Compute A = alpha A + beta B
% A = VL_TACCUM(ALPHA, A, BETA, B) computes efficiently A = alpha A
% + beta B. For GPU arrays, it performs its computation in place, by
% modifiying A without creating an additional copy.
% Copyright (C) 2016 Andrea Vedaldi.
% Al... |
d83645bbcdc8f8853204261275e3c19127bd60ac366d812224ae02bd3fb001da | MATLAB | 660 | 30 | function SOMResults_view_connections(studyByCluster,cl,wh)
% function SOMResults_view_connections(studyByCluster,cl,wh)
% a) find clusters significantly connected to this one
wh_conx = studyByCluster.sigbonf(wh,:); wh_conx(wh) = 0;
wh_conx = find(wh_conx);
cluster_orthviews(cl{wh},{[0 0 0]}); %studyByCluster.colors(... |
169f7795c796ce6bdf4e2049b447f981d43f069131dc152ac839a2ccc01afb17 | MATLAB | 661 | 33 | function FigureS10(datadir, codedir)
%FigureS10 - Sub-optimal inferential model with lambda
% datadir = directory of dataset
% codedir = director of code
%% Set up paths
s = pathsep;
pathStr = [s, path, s];
onPath = contains(pathStr,...
codedir, 'IgnoreCase', ispc);
if ~onPath
addpath(genpath(codedir))
... |
3ea8cbe97661fbcb741dd717c5767ac792884aed3485f1db2014e348e2dfb083 | MATLAB | 661 | 31 | function ordering = time2peak(X,ops)
%gives sample ordering by time to peak
[nn,nt] = size(X);
%ordering, per alignment
peakrange_start = [1,nt];
peaktimes = zeros(1,nn); %time to peak
if isfield(ops,'useZScore')
if ops.useZScore
data_zscore_k = zeros(nn,nt); %for data
for j = 1:nn
da... |
866feeca7f8b70e80e2980d4aaecc87c3b5bded67ebc6cbced5c2fe545699ce2 | MATLAB | 661 | 18 | function cfnParams = UpdateClassifierText(cfnParams)
switch cfnParams.whatClassifier
case {'linear','linclass','fast-linear'}
cfnParams.classifierText = 'simple linear classifier';
case 'diaglinear'
cfnParams.classifierText = 'linear naive Bayes classifier';
case {'svm','svm-linear'}
... |
b1c98a8d3f4e9f877dfea7a2773b5a4d45e0bb581570eb41bf487971a4f80ca5 | MATLAB | 661 | 20 | function plotPretty(x, y, color, errortype)
% Plot mean and shaded errorbar. Default error type is sem
sem = @(xx) nanstd(xx) ./ sqrt(size(xx,1));
if size(y,1) > 1
if nargin<4
shadedErrorBar(x, mean(y, 'omitnan'), sem(y), 'lineprops', ...
{'color', color, 'linewidth', 1.25})
elseif strcmpi... |
4cbf591501d6923bc8a8289eec2cacc208a6f7572eb71c0ee694deacf9b45169 | MATLAB | 662 | 29 | function [scut] = calc_scut(data)
% calculate threshold of similarity values from shuffled data
num_shuff = 100;
p = 0.88;
dims = size(data);
% make shuffled data
data_shuff = zeros(dims(1),dims(2),num_shuff);
for n = 1:num_shuff
data_shuff(:,:,n) = shuffle(data,'time');
end
% calculate similarity matrix
war... |
a780064dcbfd89d132c1389839fb512c3b9b30945b1d1d07722553157bac5938 | MATLAB | 662 | 21 | function [rez]=autocorrelogram(rez)
edges =-50:1:50;
M_clust = length(unique(rez.st(:,end)));
rez.PETH = zeros(100,M_clust);
for i=1:M_clust
Spike_id = find(rez.st(:,end)==i);
M1 = rez.st(Spike_id,2);
M2 = M1;
TrialN = length(M2);
C = zeros(TrialN,length(edges)-1);
SpikePETH_M = zeros(... |
dbb1ff2739e2ec812acb244d72e3faacc30c0974179193cf745684f9aace238e | MATLAB | 662 | 25 | classdef (Hidden = true) baseScaler < handle
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% baseScaler is a base classs for scalers.
%
% Emin Serin
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%
properties
fitParams
end... |
1a20cd5b7e0ef220dad81573b1caec605db46ac055c92d252cb7357ed85cf5ad | MATLAB | 663 | 31 | function coeffmap=rcunmx(V,R,fps)
coeffmap=zeros(size(V,1),size(V,2));
Iv=squeeze(mean(V,[1,2]));
[Fhemo,optsHB]=unmixing.FindHBpeak(Iv,'FrameRate',fps,'VerboseMessage',false,'VerboseFigure',false)
Fhemo
Fh=Fhemo.Location;
for ii=1:size(V,1)
ii/size(V,1)
for jj=1:size(R,2)
Iv=squeeze(V(ii,jj,... |
1fe251033d140f68255659ce4368a5b5feaef3b84482ef63ea14cdf422a50544 | MATLAB | 663 | 18 | function TMSFlipImageLR(ImageDir,OutputDir)
if nargin<1,
ImageDir = spm_select(1,'Image','Selecting the iamge need flip...')
OutputDir = spm_select(1,'Dir','Selecting the output dir...')
end
ImageHeader =spm_vol(ImageDir) ;
[ImageVol,ImageXYZ] = spm_read_vols(ImageHeader) ;
Dim1 = size (ImageVol,1) ; Dim2 = ... |
68b88908fbb403408ccb5f4842ad57362c8eee7898c248d94ed0421ce9630208 | MATLAB | 663 | 25 | function isdir_or_mkdir(p)
% ISDIR_OR_MKDIR Checks that a directory exists, or if not, creates the directory and
% all its parent directories.
%
% See also FOPEN_OR_ERROR
% add trailing file separator (slash or backslash)
p_full=[p filesep];
% we are looking for strings not containing the file separator, these are
%... |
d253c495ff2ec374e72ab1ebdf3f706bf1680d7ebd127281dc766879ae77888c | MATLAB | 663 | 36 | function roi = getXCROI(im, time_series, thresh, filt)
xmin = 1;
ymin = 1;
xmax = size(im, 2);
ymax = size(im, 1);
xpix = xmax-xmin+1;
ypix = ymax-ymin+1;
ref = time_series;
ref = ref-mean(ref);
frames = size(im,3);
corrs = zeros(ypix, xpix);
for i = ymin:ymax
tsrow = MySmooth(double(squeeze(i... |
01228419b62fb3b1adb976c1947ca3a47604862cb43c4b0f02ae7d8d6daa8ac7 | MATLAB | 664 | 19 | % Load the matlab file containing an example T1 map
fn = 'sampleT1map.mat';
data = load(fn);
im = data.sampleT1;
loLev = 400.0;
upLev = 2000.0;
% Call the relaxationColorMap function
% This (slightly) processes im into imClip, by setting all values 0<x<loLev to loLev+eps, and all values x>=loLev to x.
% It also retu... |
4a772773e2b8e0ee40969abb941fdd544fd4b8517056a70ed6e9cb37093b75a5 | MATLAB | 664 | 31 | classdef image
properties
fname_list = {};
end
methods
function obj = image(varargin)
obj.fname_list = varargin;
end
function value = subsref(obj,S)
S.type = '{}';
value = subsref(obj.fname_list,S);
end
... |
58cc5a9a028ae4606d590022fe372a54b921c97fdc73695f581ff72ae6742272 | MATLAB | 665 | 32 | function x = make_sin_out(T,Sdim,parm)
% Sinusoidal signal
if isfield(parm,'Tstart'),
Tstart = parm.Tstart;
else
Tstart = rand(1);
end
% period
Tmin = parm.Tmin;
Tmax = parm.Tmax;
if Sdim==1,
Tperiod = Tmax;
elseif isfield(parm,'Tperiod')
Tperiod = parm.Tperiod;
else
Tstp = (Tmax - Tmin)/(Sdim... |
7f2575e804ddc17825ae4abd7ee3d2f7b540dd8c53a5a203ae02436f0ce04a5e | MATLAB | 665 | 23 | %{
# eye velocity and timestamps
-> experiment.Scan
---
-> preprocess.EyeQuality
eye_roi : tinyblob # manual roi containing eye in full-size movie
eye_time : longblob # timestamps of each frame in seconds, with same t=0 as patch and ball d... |
9a504a6c5523be912881c0e807eeee09a582279414450b1beb705d129153f00e | MATLAB | 665 | 37 | function r = times(p,q)
%TIMES this function multiplies the x, y, and z values of the structures that I use in
% the FVtool.
%
% SYNOPSIS:
%
%
% PARAMETERS:
%
%
% RETURNS:
%
%
% EXAMPLE:
%
% SEE ALSO:
%
% Copyright (c) 2012-2016 Ali Akbar Eftekhari
% See the license file
if (isa(p, 'FaceVariable')&&isa(q, 'FaceVariab... |
e3f3ba91b33dc44e39b719f983017962d5918b63c40306a969cf6b2f86a20e79 | MATLAB | 665 | 21 | % undistort stack
function [movie_undistort,pixel_size] = undistort_stack(movie,zoom)
moviex = undistort(movie(:,:,1),zoom);
width_undistored = size(moviex,2);
width = size(movie,2);
[pixelsize_x, pixelsize_y] = pixelsize_xy(zoom,width,width_undistored);
x1 = 1:size(moviex,2);
x2 = linspace(1,size(moviex,2),size(moviex... |
4b423d00d1af0f1936b5983ddf944d1c4f570d58c1b78b59512f18a2d08af299 | MATLAB | 666 | 29 | %{
preprocess.ComputeTraces (computed) # compute traces
-> preprocess.ExtractRaw
---
%}
classdef ComputeTraces < dj.Relvar & dj.AutoPopulate
properties
% Twitch traces are populated in Python
popRel = preprocess.ExtractRaw & (experiment.SessionFluorophore & 'fluorophore!="Twitch2B"');
end
methods(Acce... |
64df760efe1ebcefd8e74d3a57562564fd9035a092d9da1205eb7a4c90058441 | MATLAB | 666 | 37 | function r = rdivide(p,q)
%RDIVIDE this function divides the x, y, and z values of the structures that I use in
% the FVtool.
%
% SYNOPSIS:
%
%
% PARAMETERS:
%
%
% RETURNS:
%
%
% EXAMPLE:
%
% SEE ALSO:
%
% Copyright (c) 2012-2016 Ali Akbar Eftekhari
% See the license file
if (isa(p, 'FaceVariable')&&isa(q, 'FaceVaria... |
942d32a43b357160dcb5a952a033703064a1aab3fe853bced3159168dabb2b96 | MATLAB | 666 | 15 | function control_max_eig = shift_thetacycle(SpikeCount,number_of_surrogates,binspercycle)
control_max_eig=zeros(1,number_of_surrogates);
for surr_idx = 1:number_of_surrogates
ControlSpikeCount=zeros(size(SpikeCount));
for neuron_idx = 1:size(SpikeCount,1)
drawnbin = randi(length(SpikeCount)/binspercycl... |
bdc801ebdd31c41344066abc14a453b4be909dfdeca8682c685fb20ad582259a | MATLAB | 666 | 16 | function y = tapas_logit(x, a)
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2012-2013 Christoph Mathys, TNU, UZH & ETHZ
%
% This file is part of the HGF toolbox, which is released under the terms of the GNU General Public
% Licence (GPL), version 3... |
c791de79d3e751ccc6cf6e2a17c406cb3cc36c72c90d721db11f39c57775cec8 | MATLAB | 666 | 20 | function aesthetics()
set(gca, 'box', 'off') % remove borders
set(gcf,'color','w'); % white background
set(gca, 'TickDir', 'out')
ax = gca;
try
ax.Colorbar.TickDirection = 'out';
ax.Colorbar.FontName = 'Arial';
ax.Colorbar.FontSize = 12;
catch
end
% set(gca, 'Box', 'off', 'TickDir', 'out', 'Tick... |
bb3ad27d4a9581e333fbb4d3491ec42f61629d9c9619532eb41016d7f14a42ef | MATLAB | 667 | 37 | function r = power(p,q)
%RDIVIDE this function power (.^) the x, y, and z values of the structures that I use in
% the FVtool.
%
% SYNOPSIS:
%
%
% PARAMETERS:
%
%
% RETURNS:
%
%
% EXAMPLE:
%
% SEE ALSO:
%
% Copyright (c) 2012-2016 Ali Akbar Eftekhari
% See the license file
if (isa(p, 'FaceVariable')&&isa(q, 'FaceVari... |
bf6918fd8398687797ca4b73dedd8054f8df5d6bb65058520b4b2e11580a58f9 | MATLAB | 667 | 24 | function rejectData(params, varName_prefix)
% rejects outliers in data based on normal distribution
% (c) Jiri, Apr16
% load data
varName = [varName_prefix '_prc'];
load(params.storage.sessionCacheFiles{params.thisSess}, varName);
d = eval(varName);
r = logical(zeros(size(d)));
% normal distrubution fit
sigmaThr = ... |
3d5b900ffe7149ceb49ee421a2e92abedd5cfd604e1079384772e75e3ab7e32a | MATLAB | 668 | 22 | function [results] = analysis02G1(config)
% Runs analysis02G: Evolving populations of reservoirs by selecting for
% -alpha*P(S)+(1-alpha)*P(E) for varying alphas.
% set a unique random number generator seed!
rng(config.seed)
% turn struct input into name-value pair cell
config.populationProperties = struct2NV(config.... |
f0cc6ff6bc98c9dd19c76218cd8a5b3ec97f164c81100e268b71b1e1de660d59 | MATLAB | 668 | 27 | function [ params ] = nmri_get_params( analysis_dir )
%[ params ] = nmri_get_params( analysis_dir )
% Returns the params for a specific analyis dir or pwd (if not specified)
if ~exist('analysis_dir','var')
analysis_dir=pwd;
end
% check the params struct
if exist(analysis_dir,'dir')
prev_dir=pwd;
cd(analysis_dir... |
4cab0868785f24db0c36d8fb3f81351fd7f9d36daff78c32f3cb215be2786070 | MATLAB | 669 | 22 | function [psi, vmi, xmi, debiased] = computeEmergence(o, R, tau, nbsurr)
% Computes psi, vmi, xmi for the reservoir output o, produced by states R.
% Optionally, performs debiasing of psi results.
% compute emergence
if length(size(R)) == 2
[psi, vmi, xmi] = EmergencePsi(R', o', tau);
else
[psi, vmi, x... |
a28245a96a5a11867eaebc2a2af6435c0c93e8e0122fbf8acbfcf64609a1ed9e | MATLAB | 669 | 37 | function r = lt(p,q)
% this function compares the less than condition of x, y, and z values of the structures that I use in
% the FVtool.
%
% SYNOPSIS:
%
%
% PARAMETERS:
%
%
% RETURNS:
%
%
% EXAMPLE:
%
% SEE ALSO:
%
% Copyright (c) 2012-2016 Ali Akbar Eftekhari
% See the license file
if (isa(p, 'FaceVariable')&&isa(q... |
f2745dffa0553ee99bc3660bf728568001405edc9287cf6688dff3f4f1516c47 | MATLAB | 669 | 23 | %{
# master table with general data about the stacks
-> experiment.Stack
-> stack.Version
---
nrois : tinyint # number of ROIs
nchannels : tinyint # number of channels
z_step : float # (um) d... |
f3257d51dc99829e046860c60295b3929c22b37360b365bcaa71620369d8a2c4 | MATLAB | 669 | 27 | function fid = fopen_or_error(filename, permission, varargin)
% FOPEN_OR_ERROR Opens a file, like fopen, but throws an exception if the open failed.
%
% This keeps you from having to write "if fid < 0; error(...)" everywhere
% you do an fopen.
%
% See also FOPEN, ISDIR_OR_MKDIR
if nargin < 2 || isempty(permission)
... |
fe7bfd6cb79d7c35f7446fa85f5cbbaa2944be3b3922044be7e2c001e61d0c4d | MATLAB | 669 | 35 | %Grafica las variables desde el Workspace. LC
%Hace todas las graficas del Stoixeion exepto Dunn�s index
path(path,'.\AGORA')
clear Z
col=size(LLE_Z,2);
Z=LLE_Z(:,col-1:col);
clear centros
ii=size(Pk_edos,2);
figure(1)
FCMcallLC;
%------------------------------------------------%
ii=centros;
figure(3)
KmedoidcallLC;
... |
1ee8bd846c1dba8623e48b21c052e1e07a33a6aa8b8e15fce97f751cac024acd | MATLAB | 671 | 37 | function edges = compute_edges(face)
% compute_edges - from a list of faces, compute the list of (unique) edges.
%
% edge = compute_edges(face);
%
% Copyright (c) 2004 Gabriel Peyré
if isempty(face)
edges=[];
return;
end
[tmp,face] = check_face_vertex([],face);
if size(face,1)~=3
error('Problem');
e... |
a75981b51baf324480349df1e7fb7c450ada129edbcc8ba1b17e1ac9a98baa2d | MATLAB | 671 | 22 | function [NEW_WINDOW]=getBestWindow(SIGNAL_LENGTH, TIME_WINDOW, SAMPLING_RATE)
% get the best window in sec for a given signal length to trunc it in
% approaximatly equal length (exept the last section for which the
% remainder will be add up)
% All input-output are scalars
% [NEW_WINDOW]=getBestWindow(SIGNAL_LENGTH, T... |
49c539bdb855bc9bd5c1fa2bde103dc90fd6377cc11c2a6075885d6abb7c7721 | MATLAB | 672 | 37 | function r = gt(p,q)
% this function compares the greater than condition of x, y, and z values of the structures that I use in
% the FVtool.
%
% SYNOPSIS:
%
%
% PARAMETERS:
%
%
% RETURNS:
%
%
% EXAMPLE:
%
% SEE ALSO:
%
% Copyright (c) 2012-2016 Ali Akbar Eftekhari
% See the license file
if (isa(p, 'FaceVariable')&&is... |
57af962f07f52275ac101aa7a0e8e3b25cfc5eaa31c4a6f945dfa779638bb66d | MATLAB | 672 | 25 | function d = getdict
% Dictionary of GIfTI/NIfTI stuff
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
% Guillaume Flandin
% $Id: getdict.m 2271 2008-09-30 21:19:47Z guillaume $
persistent dict;
if ~isempty(dict)
d = dict;
... |
f891115da6a5c2ec0e33baa0bc82ae69ef105d6cf6e1987a077fc6d88d2a2d73 | MATLAB | 673 | 20 | function result = SLM(x, c0, c1, c2, alpha, dta, r, f0)
%% this is ChatGPT's translation of Ryan Greenhalgh's slm_hyp1f1 from functions.py in pyforce
%% created 7/4/2025
% Function to calculate the given expression in MATLAB
% Initialize the function value
func = c0;
% Add the exponential and... |
03ff00e9cbe97b039b0de2a1ec393f058d6d373d5d09378241f6798bf4faa6bc | MATLAB | 674 | 27 | function varargout = covSEproj(d,varargin)
% Wrapper for Squared Exponential covariance function covSE.m.
%
% Projected squared exponential covariance. The covariance function is
% parameterized as:
%
% k(x,z) = sf^2 * exp(-(x-z)'*inv(P)*(x-z)/2)
%
% where the inv(P) matrix is L'*L with L of size (d,D) and sf^2 is t... |
4051a3cb1576c51b939e6422133df424941375854d3067e3b08eea0eecb2b756 | MATLAB | 674 | 21 | % undistort stack
function [movie_undistort,pixel_size] = undistort_stack(movie,zoom)
moviex = undistort(movie(:,:,1),zoom);
width_undistored = size(moviex,2);
width = size(movie,2);
[pixelsize_x, pixelsize_y] = pixelsize_xy(zoom,width,width_undistored);
x1 = 1:size(moviex,2);
x2 = linspace(1,size(moviex,2),size(moviex... |
cce997f7dbc613653778432ef74cf21b5626fe21251961b7dcfc817626b10eb5 | MATLAB | 674 | 21 | function [nbRepetitions, nbEventsPerBlock, maxNbPerBlock, nbBlocks] = getDesignInput(cfg)
%
% [nbRepetitions, nbEventsPerBlock, maxNbPerBlock, nbBlocks] = getDesignInput(cfg)
%
%
% (C) Copyright 2020 CPP visual motion localizer developers
nbRepetitions = cfg.design.nbRepetitions;
if strcmp... |
fd078ad50cc57af50b9d1df7a65f1115929aba2fad167ee35c339c7a03b2da1d | MATLAB | 674 | 22 | function roi=mask2roi(mask)
% gives the oordinates of the marked points in an input matrix mask.
% this function assumes that any non-zero entries are part of the roi.
% For example when the input is a 3D binary mask, the output would be
% triplets containing the coordinates of the points (in matrix space) where
% the... |
26a7a14b3e01dac7d19b71d82273f5ad560cabc5dcd5c1085cdde62fff6a3b20 | MATLAB | 675 | 29 | function [sigma, shrinkage]=covdiag(x)
% 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
%authors: N Kriegeskorte, M Stokes
% de-mean returns
[t,n]=size(x);
meanx=mean(x);
x=x-meanx(on... |
8fcf0a0548d2d440fd813d281ed0690ff8cbb26673d369b36895cdfb040e46d9 | MATLAB | 675 | 33 | function f = translatevmetric(x)
% function f = translatevmetric(x)
%
% <x> is a matrix of "v metric" values
%
% Convert the <x> values to SNR units.
f = 1-x.^2;
f(f<0) = 0;
f = sqrt(f) ./ x;
% OLD:
%
% Use the simulation results to map the <x> values
% to SNR units. We carefully handle corner cases (see code).
%... |
e57d77acfc4664aa7645e77942f55d4fb3ba337abfb1240d24278eaa71ac3c4b | MATLAB | 675 | 44 | function [auc,p] = rocauc(x,y,minmax)
if nargin < 3
minmax = false;
end
if nargin < 2
error('Missing input argument(s).');
end
auc = [];
p = [];
x = x(:);
y = y(:);
xall = unique(x);
yall = unique(y);
if length(xall) < 2
auc = 0.5; p = Inf;
return
end
if length(yall) ~= 2
e... |
93057c13bda6bdab6a76f30ae35815b1bfb9bfbde906ffca071ca8bfebb5e1b2 | MATLAB | 676 | 23 | function BrainNet_vtk2nv(inputfilename,outputfilename)
fid = fopen(inputfilename);
tmp = textscan(fid,'%s',8,'CommentStyle','#');
vertex_number = str2double(tmp{1}{7});
coord = reshape(cell2mat(textscan(fid,'%f',3*vertex_number)),[3,vertex_number]);
tmp = textscan(fid,'%s',3);
ntri = str2double(tmp{1}{2});
tmp =... |
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