sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
859e870eb2e17f8e46d1f61bda0adf735edf9181bae73a520671252e85d7ceaa | MATLAB | 3,550 | 107 | function dat = read_egis_data(filename, hdr, begtrial, endtrial, chanindx);
% READ_EGIS_DATA reads the data from an EGI EGIS format file
%
% Use as
% dat = read_egis_data(filename, hdr, begtrial, endtrial, chanindx);
% where
% filename name of the input file
% hdr header structure, see READ_HEAD... |
53463d84b5f68e15d89a9d65b54a06578eed88f72e4cf501b1fb05ed76b41f77 | MATLAB | 3,552 | 89 | function [artitable] = features_from_alleeg(alleeg)
% eg. outputtable = features_from_alleeg(ALLEEG);;
% once you've done this, you can save the table to file using
% writetable(outputtable, 'balanced_epochs.csv')
displayplots = false;
ids_missing_data = [];
warning('off','MATLAB:colon:nonIntegerIndex')
warning('off'... |
897276532ea73acc4bf9a98e9373a7acf0bdaa9dd754ca487558ae5ca0ef7f40 | MATLAB | 3,554 | 114 | classdef MLTrialData
%MLTrialData Summary of this class goes here
% Detailed explanation goes here
properties
dataFolder
roi
mlvidrecBehav
mlvidrecScope
track
spatialFootprint
ms
cnmfe
adjustReferenceFrame
end
method... |
e155037f976c603f7c8b1eed807e056bea137714e206f3258c06dfe1e9675dc6 | MATLAB | 3,556 | 80 | function [] = plot_worm_frame_post_analysis_with_track(I, center_lines, centerline_color, centerline_stimulus, debugimage,in_track_index,current_ellipse_ratio,path_of_worm)
% % % % % % [] = plot_worm_frame(I, center_lines, centerline_color, UncertainTips, centerline_stimulus, debugimage,in_track_index,current_ellipse_r... |
4a0b2490d75353e99522b6b642050e92e4bd45128a0bfc42a894913709829af7 | MATLAB | 3,557 | 127 | %build_sim_HR_FA_table_stdFR_stdRP.m
% assumes run_simulations_stdFR_stdRP.m has been run first
%%
clear all;
close all;
clc;
%% add fn paths if not added yet
% assumes script run within local directory
scriptdirs = {
'../../figures';
};
datadir = pwd;
%%
addpath(scriptdirs{:})
addpath(datadir)
%% set write preference... |
4d89917efcd0164c938926bffd5122aa2951fb9c65883daabf435ff52437898f | MATLAB | 3,558 | 143 | function Denoising_T1(packagepath, flag, method, beta, patchradius, searchradius, suffixfile, rician, namein, pathin)
disp(packagepath)
disp(namein)
% this code is taken from the MRI Denoising Package
verbose =0;
addpath(genpath(fullfile(packagepath, 'MRIDenoisingPackage')));
fprintf('%s\n\n', 'Selected param... |
a4ed6bb6e8ef00a44df679f1a50c2d6f0ff5dd0fb2bdc0f78644e030ae45df68 | MATLAB | 3,558 | 117 | savename = 'd\d_100Hz';
savename=strcat(savename,'.mat');
load(savename)
seg = 1;
temp.special = 1;
samplerate = 101.7253; % mouse 115, recording 1 (only recording)
thresh = 1.3;
%% Mouse Specific
% FRAME NUMBER (~ 10 frames / s)
start_camFrame = [308; 5509; 14869; 15269; 15949; 17934; 21829; 25029];
stop_camFrame ... |
7672ba9e2b3bde4239ea429886b7ceb2327af96684ec12747e96b87e1232795b | MATLAB | 3,559 | 122 | % Copyright (C) 1999 Paul Kienzle
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in t... |
b49b5d59f6c5349ae4dac2ac24352e529be8668a8d59896733af0c2b033cb2fc | MATLAB | 3,559 | 103 | function [cut, map, short] = vl_aibcut(parents, n)
% VL_AIBCUT Cut VL_AIB tree
% CUT = VL_AIBCUT(PARENTS, N) cuts the binary merge tree PARENTS and
% returns a cut CUT of N nodes. The format of PARENTS is the same
% used by the VL_AIB() function.
%
% A cut is a set of N nodes such that no node is a descendant of a... |
5131ff0d69fe1bdaa4f030dac60e0c7a84a3288200a1f62562170a4a72af6805 | MATLAB | 3,560 | 127 | %build_sim_HR_FA_table_highFR_stdRP.m
% assumes run_simulations_highFR_stdRP.m has been run first
%%
clear all;
close all;
clc;
%% add fn paths if not added yet
% assumes script run within local directory
scriptdirs = {
'../../figures';
};
datadir = pwd;
%%
addpath(scriptdirs{:})
addpath(datadir)
%% set write preferen... |
c997630c2271e26f49b10fe86d25cced87d661eb06f7abc2fe10ddda8da08e69 | MATLAB | 3,563 | 127 | %build_sim_HR_FA_table_stdFR_RPk0nr3.m
% assumes run_simulations_stdFR_RPk0nr3.m has been run first
%%
clear all;
close all;
clc;
%% add fn paths if not added yet
% assumes script run within local directory
scriptdirs = {
'../../figures';
};
datadir = pwd;
%%
addpath(scriptdirs{:})
addpath(datadir)
%% set write prefer... |
1f43c9fda771f595bca781c76dda355ef7aa1f16e113491ccd947b869a2fe223 | MATLAB | 3,565 | 78 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [TMissing] = helper_mapsdata_get_missing_trials_as_zeromaps(T)
% All maps should have this size
mapSize = size(T.map{1});
% Get all of the sessions present in the main map table
[Sessions] = get_sessions_fro... |
201dc937d24278ba3b95a391ce56ffb2b40f706a3c3b65262715b550cf511a67 | MATLAB | 3,565 | 130 | function [RSS, XYproj] = Residuals_ellipse(XY,ParG)
%
% Projecting a given set of points onto an ellipse
% and computing the distances from the points to the ellipse
%
% This is a modified version of an iterative algorithm published by D. Eberly
% Internet publication: "Distance from a point to an ellipse in ... |
762ffc11ec0a91ec6bf9b825d18d5fb2b858f8df0bd1cd0c4e5f84ba214d002e | MATLAB | 3,566 | 83 | function ops = Kilosort25Configuration_Dredge(dredgeParams)
%% RH edits CODE
rootpath = pwd;
[~,ed] = fileparts(pwd);
ops.chanMap = fullfile(rootpath,'chanMap.mat'); % make this file using createChannelMapFile.m
load(fullfile(rootpath,'chanMap.mat'))
ops.NchanTOT = length(connected); % total n... |
e3673450760bf6ba6f0f8a13f5c92716988f05a54271e2df2abdc9bc4a56b029 | MATLAB | 3,568 | 101 | function [Para, R2]= gretna_degree_distribution(Deg, Nbins)
%==========================================================================
% This function is used to fit the degree (also betweenness and others)
% distribution of a network G in terms of three types:
% Tpye1: exponential truncated power law fitting
% ... |
056dfb27e84c0cbf685c490aa47d5622ca7822a972622aab9edfdb9e6377c5fd | MATLAB | 3,569 | 127 | %build_sim_HR_FA_table_stdFR_RPk0.4nr4.m
% assumes run_simulations_stdFR_RPk0.4nr4.m has been run first
%%
clear all;
close all;
clc;
%% add fn paths if not added yet
% assumes script run within local directory
scriptdirs = {
'../../figures';
};
datadir = pwd;
%%
addpath(scriptdirs{:})
addpath(datadir)
%% set write pr... |
2f20d5e110db68cf2b715abe4a0155f600b186242cc5e2d34399fc520c0a3bd4 | MATLAB | 3,570 | 88 | %Bar plots with the individual data points for different cohorts
%You can use Prism Program instead :)
%author: Chernysheva Maria
%version:01.09.22
function SEM_Input = bar_plots_cohorts(input_data,legend_cohort,color_cohort, plot_title,YLabel,font_size, paired)
%some arbitrary numbers for the plot's design... |
790b36f747ae0e0ec1ed41ad534365093bb520dd425d64d4a3a0763ade98b7cf | MATLAB | 3,571 | 108 | function s = fillProps(props, names, varargin)
% Fills the property list in the classdef
assert(isa(props, 'containers.Map'));
assert(iscellstr(names) || isstring(names));
s = '';
if isempty(names)
return;
end
p = inputParser;
p.addParameter('PropertyAttributes', '', ...
... |
c5da24e00579fcf06529f7fb69f817ac6be8ffc394387143dfa416804146060a | MATLAB | 3,572 | 127 | %build_sim_HR_FA_table_stdFR_RPk0.7nr18.m
% assumes run_simulations_stdFR_RPk0.7nr18.m has been run first
%%
clear all;
close all;
clc;
%% add fn paths if not added yet
% assumes script run within local directory
scriptdirs = {
'../../figures';
};
datadir = pwd;
%%
addpath(scriptdirs{:})
addpath(datadir)
%% set write ... |
51619baa78c104b20af4319aa974d8b8b80847f6ba40bbcd57b804c2a14c443b | MATLAB | 3,573 | 94 | clc;
%Recreate needed property constants defined in nilibddc_m.h
DDC_FILE_NAME = 'name';
DDC_FILE_DESCRIPTION = 'description';
DDC_FILE_TITLE = 'title';
DDC_FILE_AUTHOR = 'author';
DDC_FILE_DATETIME = 'datetime';
DDC_CHANNELGROUP_NAME = 'name';
DDC_CHANNELGROUP_DESCRIPTION = 'description';
... |
80be38f78ce4fcffb02438ba0144bfb8a8a010ae751a9fb344e51843dc9704a7 | MATLAB | 3,573 | 88 | function mltp_plot_behaviour_averaged_placemaps_contexts(obj, session)
sr = session.sessionRecord;
ti = sr.getTrialsToProcess();
digTypes = ['C', 'G', 'F', 'W']; % don't match '?'
numDigTypes = length(digTypes);
numCells = session.num_tfiles;
%numTrials = sr.getNumTrialsToProcess();
digs = ... |
14c658839068c8a3c9e92dcc6f6acdd8e51a07bfea1fd3d597c139b99e9b0754 | MATLAB | 3,578 | 87 | % mglListener.m
%
% $Id$
% usage: mglListener(command,<arg1>)
% by: justin gardner
% date: 06/19/08
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: This is a mac specific command that is used to capture low-level
% keyboard and mouse events.... |
1979831cd197279366ce09387b9903031eb01ecdcb7934006672642498d4a47a | MATLAB | 3,578 | 92 | % This demo shows how to use the software described in our IJCV paper:
% Selective Search for Object Recognition,
% J.R.R. Uijlings, K.E.A. van de Sande, T. Gevers, A.W.M. Smeulders, IJCV 2013
%%
fprintf('Demo of how to run the code for:\n');
fprintf(' J. Uijlings, K. van de Sande, T. Gevers, A. Smeulders... |
388d3f411730795e1db8883f344b9b473d79300c72a27af5e1a63876f652423a | MATLAB | 3,579 | 79 | clear
file=dir('ACC*restable*.mat');
k=1;
for jj=1:length(file)
load(file(jj).name)
n=length(outcome);
n1=fix(n*0.33);n2=fix(n*0.67);
go{1}=[find(outcome(1:n1,1)==1);find(outcome(1:n1,1)==2)];
go{2}=[find(outcome(n1+1:n2,1)==1);find(outcome(n1+1:n2,1)==2)]+n1;
go{3}=[find(outcome(n2+1:e... |
13a31be17d2e2a58b681c925eef7cfe7e073f416c129215345e4153122d2aba3 | MATLAB | 3,583 | 74 | function E = bemf5_volume_field_electric(Points, c, P, t, Center, Area, normals, R, planeABCD)
% Computes electric field for an array Points anywhere in space (line,
% surface, volume). This field is due to surface charges at triangular
% facets only. Includes accurate neighbor triangle integrals for
% points l... |
4689b771dd61cfeba1df2a25333367debc467f03d77d3b00664be19773deb20b | MATLAB | 3,583 | 136 | function [F,G] = edfcnd(z,c,G,varargin)
%EDFCND Empirical Distribution Function CoNDitioned that X>=c
% and optionally computes it for distribution G.
%
% CALL: [Fc,Gc] = edfcnd(X,c,G,options);
%
% Fc = conditional EDF of X given X>=c, (2 column matrix or wdata).
% Gc = conditional CDF, G(x;X>... |
b96d4662bd4d5789d0d9c99aa0c299ee998a0c3ea183958e9754f25ea6ccdfb2 | MATLAB | 3,584 | 141 | % mglTestTexMulti.m
%
% $Id: mglTestTexMulti.m 380 2008-12-31 04:39:55Z justin $
% usage: mglTestTexMulti(screenNum)
% by: justin gardner
% date: 04/11/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose:
%
function retval = mglTestTexMulti(screenNumber)... |
7561f5dd0d4c19012f13848399be2c31a2e2c4a77cc184c9dbcdee58944864a4 | MATLAB | 3,585 | 141 | % mglTestTexMulti.m
%
% $Id: mglTestTexMulti.m 380 2008-12-31 04:39:55Z justin $
% usage: mglTestTexMulti(screenNum)
% by: justin gardner
% date: 04/11/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose:
%
function retval = mglTestTexMulti(screenNumber)... |
03c1787034652a1f49cb41b847d12a0e851f5d60ce6ac15a6f6ece2bea35be9e | MATLAB | 3,588 | 128 | %function [sta, P2P, p, Nspikes] = STA(x,y, bef_s, aft_s);
function tune = STA(y,x,elec,unit);
% returns STA[odd/even,:], array 2x:,
% input: x holds spike frames, y holds the signal
% bef_s and aft_s units are s
%
globals;
MIN_LAT = 0; %ms ignore such latencuesin tune.lat
x = find(x); % convert from frame-... |
81dac4d0f266981e9d02af6808a653ce475efbfcf620ce55b48baf1acefb0e84 | MATLAB | 3,588 | 83 | function params = getSpatialParams(params,optionNumber)
%% Get getSpatialParams
% Grabs default temporal params for each model (params.analysis.temporalModel)
% The function first checks if there is a Constant file (user-defined temporal parameter values).
% if the function does not exist, default temporal parameter... |
e38f6e5e6a578263b61501118c7cc367225527b24b1472adc7fe5f91dc93ca3b | MATLAB | 3,588 | 92 | function [psdPeaks, intpsd, gammaP, betaP, meanLevel, envLevel, osci] = recordOnlyAttn(r, allTime)
% RECORD give property of the parameter setting
% psdPeaksSheet = zeros(Delta_e_steps, Delta_i_steps, 16, 6); % XX peaks in psd, e.g. -1-NaN, 5 peaks, 12 peaks
% intpsdSheet = zeros(Delta_e_steps, Delta_i_steps, 16, 6); ... |
f74d6cdb201a0738b6e22188626301395e0d92465f7983bbbe7f10726e2e08b9 | MATLAB | 3,592 | 83 | function params = getSpatialParams(params,optionNumber)
%% Get getSpatialParams
%
% Grabs default temporal params for each model (params.analysis.temporalModel)
%
% The function first checks if there is a Constant file (user-defined temporal parameter values).
% if the function does not exist, default temporal paramet... |
89eab821f91b6c636d0fb1c8c447f2a2bee02d73a225be5c44a15e107da5bbf7 | MATLAB | 3,598 | 99 | function fit_voxels(path_of_script,simulated_SNRs,voxel_folder)
load([path_of_script filesep 'Datasets' filesep 'bvalues_and_bvectors' filesep 'bvec_simulation_AxDKI_RBC.mat']);
load([path_of_script filesep 'Datasets' filesep 'bvalues_and_bvectors' filesep 'bval_simulation_AxDKI_RBC.mat']);
bvalues = bva... |
9180f87082c812d315eec89955e9524dcb17693f8c56da230e8947358ba3c3d7 | MATLAB | 3,600 | 91 | function [] = ExtDataFig08_BidirRespMod_Normalized_vPR9()
% Code for plotting the mean change in ΔF/F after song-type transitions relative to ΔF/F before the transitions in Extended Data Fig. 8i,l.
load(['../Data/Summary_vPR9NP_SS1/SongTypePrefIndex'])
ylimrange1 = [-.5 1];
ylimrange2 = [-.5 1];
%% parameters
Thre_Tr... |
989c6fa878228309772876a90ae6c8330490c9d3d7cbc36b4487d44409e9823c | MATLAB | 3,600 | 113 | function[ synMat, synStruct ] = strippit( fName );
% --------------------------------------------------------------
% file : strippit.m
% purpose : Example of stripping and reading a dendrite file
% --------------------------------------------------------------
% history :
% 2017-02-21 AL added data structure... |
b13ec680f54ae6fd25618074c56c5213392633444fbf1972a9a87509557c085b | MATLAB | 3,600 | 140 | function H = vl_tightsubplot(varargin)
% VL_TIGHTSUBPLOT Tiles axes without wasting space
% H = VL_TIGHTSUBPLOT(K,P) returns an handle to the P-th axis in a
% regular grid of K axes. The K axes are numbered from left to right
% and from top to bottom. The function operates similarly to
% SUBPLOT(), but by def... |
5eb33cb99b1ff982a32681c5aefe2047771509b514dec986fa0cb017b711b8f1 | MATLAB | 3,601 | 107 | function genSharedRewardDesign(s)
% so clunky: set up relative paths to ensure this works on any computer.
% warning: all paths are references based on the location of this file. if
% you move the file, you break the paths.
for ii = 1:length(s)
sub = s(ii);
scriptname = pwd
disp(scriptname)
[scri... |
61fd1925eb4a0ab9d7bfbe6169ee24d74c6e75ce9807130a4608e422f9b3cb8f | MATLAB | 3,601 | 95 | % mglRunRenderingTests: run multiple rendering tests and check results.
%
% usage: results = mglRunRenderingTests(testNames)
% by: Benjamin Heasly
% date: 03/10/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Run all the mgl test scripts in the mglRenderi... |
c387331a3624350eddb8e4a83bab7c6c93cacc3f7cfaddfd8ef6356d0756d6e4 | MATLAB | 3,601 | 128 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function make_stability_bfo90_PerAnimal_formatted_for_sigmastats(analysisSettings, analysisResults)
% Not used
%MIN_COMPARISONS = analysisSettings.BFO90_PER_CELL_MINIMUM_DATA;
F = 'StabilityBFO90';
T = analysisResults.(F);
[Sessio... |
7361889851ae0de30138dabd9ce4a04474336d101944d0d1d193d40a355c2adc | MATLAB | 3,605 | 139 | function writemda(X,fname,dtype)
%WRITEMDA - write to a .mda file. MDA stands for
%multi-dimensional array.
%
% See http://magland.github.io//articles/mda-format/
%
% Syntax: writemda(X,fname)
%
% Inputs:
% X - the multi-dimensional array
% fname - path to the output .mda file
% dtype - 'complex32', 'int32', '... |
3657fc31e98f8d0f4ea1539f1fbbba0f586402f60b9ea8ba8366193fd94f8830 | MATLAB | 3,609 | 89 | function fH = plotLMMfittedRegressionSlopes_stRetParams(allDS,allLMMResults,...
allLMMResults_model,LMMOrder,...
roisToPlot,cmapModels, saveFigs, saveFigDir)
% Suppl Fig 8: Model performance of alternative spatiotemporal pRF models,
% including CST with fixed temporal parameters (CST_fix... |
1547681975545aa636fbd3ade0f31cf05792f16b975ce278389b9ce9ae462dbc | MATLAB | 3,612 | 109 | % VL_DEMO_SIFT_CMD Demo: SIFT: test command line utility
pfx = fullfile(vl_root,'results') ;
vl_xmkdir(pfx) ;
p_img = fullfile(vl_root,'data','box.pgm') ;
p_low = fullfile(vl_root,'data','box.sift') ;
p_txt = fullfile(pfx,'box.sift') ;
p_tmp = fullfile(pfx,'box.tmp') ;
I = imread(p_img) ;
I = single(I) ;
[f0,d0] = ... |
379260002bad59ce8e70c45fe2d61bace68398340562e5052e32a84f77445fc6 | MATLAB | 3,612 | 103 | % multiStepVInj.m
%
% Voltage Injection Function for visual panels.
% Delivers square voltage step of user-specified amplitudes and duration.
% Durations can be different among steps. Steps can be randomized or they
% can repeat in the user-specified order until the end of the trial
% Voltage values are not scaled, ... |
c2cd40078f3d4b3f836039357f2bd699bcdf76dcb20971eebc3fec4975f188be | MATLAB | 3,612 | 85 | function parameters = load_parameters(folder_name)
%loads the parameter structure based on the tags and labview parameters in
%the experimental folder and parameters.csv settings file
starting_column_index = 4;
type_index = 3;
parameters = load('EigenVectors.mat'); %load eigenvectors for eigenworms
para... |
839ec47bd71ecf8465563d2196bc2cf0908ac5bec706277c9020cf7a1461f350 | MATLAB | 3,613 | 119 | function vol = read_asa_vol(fn);
% READ_ASA_VOL reads an ASA volume conductor file
%
% all data is converted to the following units
% vertices mm
% conductivities S/m
% Copyright (C) 2002, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fieldtrip
% for the document... |
02d0c1058db8de16c883e1901a377c3eba598e03964699754e7722d44712fa8c | MATLAB | 3,619 | 54 | function [x,y] = visualAngleArea(eye_pos, centre, angle, number)
% VISUALANGLEAREA Return a ellips which displays the area with a valid
% visual angle.
% The function takes an eye position, a focus of the ellips, a maximum
% angle and the number of coordinates that need to be returned as
% input. It will re... |
6daaeb46b8b4e19e67ab6dc5739b47b089369734cb327617ef923a6c5028bed1 | MATLAB | 3,619 | 191 | %
% Draw the Delaunay plot for one network.
%
% PARAMETERS
% $network Internal name of the network
%
% INPUT FILES
% dat/data.$network.mat
% dat/info.$network
%
% OUTPUT FILES
% plot/delaunay.[abcdfgh].$network.eps
%
consts = konect_consts();
network = getenv('network')
info = read_info(network)
n = info.n
%
... |
7645310558cdd58e6c0ebd0763094e0001010efc5dd60ac7c99fd280d140995c | MATLAB | 3,623 | 121 | function [x1,x2,x3,x4,p,deltak,touch_idx,FR,whisker]=Tcurve_touches_dk_per_touch(touches,touches_whisker,psth,k_c1,k_c2,NpointsTcurve)
%% Tcurve_touches_dk_per_touch computes 4 tuning curves: one for only first, only second and only third touches of the sequences and one for touches >4
% INPUTS
%
% touches: binary mat... |
bb451e40f1a49071c58ecd527c535fa83a641db8536b87d1762afae2241a8c56 | MATLAB | 3,623 | 128 | function hh = gridxy(x,varargin)
% GRIDXY - Plot grid lines
% GRIDXY(X) plots vertical grid lines at the positions specified
% by X. GRIDXY(X,Y) also plots horizontal grid lines at the positions
% specified by Y. GRIDXY uses the current axes, if any. Lines outside
% the plot area are plotted but not shown.... |
02a0129176cd47cdf27023c41216aa1e9244cf59ee1e3c0a8f61d60dd6c46d22 | MATLAB | 3,624 | 72 | function [expJson] = mlgp_read_experiment_description_json(expJsonFilename)
expJson = ml_util_json_read(expJsonFilename);
% Validate
% Check of the field exists
fieldNames = fields(expJson);
if ~ismember(fieldNames, 'apparatus_type')
error('The field ''apparatus_type'' does not exi... |
84a7cc3ba012e2181e9e3d6e63dcb2a8334b2125e43cf700427529401feec42a | MATLAB | 3,627 | 117 | function plot(obj, startIdx, endIdx)
%PLOT plots the edf content to verify if they are useful. For all other
% post processing you should rather define your own plots
%
% Syntax: obj.plot();
% or
% plot(obj);
%clear
% See also: Edf2Mat.plot(), Edf2Mat.save()
% Edf2Mat.Events, Edf2M... |
c49f8f0133c567e34eedeeb834f11c02e6213f5da1876e520186475b3f864e09 | MATLAB | 3,627 | 109 | function write_serial_event(filename, event)
% WRITE_SERIAL_EVENT
%
% changed A.Hadjipapas 2010
%
% write to phyiscal serial port
% serial port on windows or linux platform
% Copyright (C) 2007, Christian Hesse
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fieldtrip
% for the documentation and... |
896a7341cbae968b720b68428ec2a07b330ad5999b9e250785fe05284e9bbe99 | MATLAB | 3,628 | 76 | clear;
tbl_dir = pwd;
tbl_name = fullfile(tbl_dir,'S3_Data.xlsx');
[~, sheetNames] = xlsfinfo(tbl_name);
groupStr = {'Young','Old'};
condStr = {'Load 1','Load 2','Load 4','Load 4'};
% # The third position is included for cases where I use ss = 1:3 rather than ss = [1 2 4]
%% Fig.S3
T = readtable(tbl_name,'Sheet',shee... |
5630c97279b18d60ea6f5d44f14a7dfda4fe6d0fdaa2ecf6e56a3d5375f80a53 | MATLAB | 3,629 | 81 | % data_name = 'lowBG=5e+03,poisson=1';
% dir_SUNS_sub = fullfile('SUNS_TUnCaT_SF25','4816[1]th4');
addpath(genpath('.'))
%%
num_Exp = 10;
list_Exp_ID = arrayfun(@(x) ['sim_',num2str(x)],0:(num_Exp-1), 'UniformOutput',false);
dir_parent = fullfile('..','data','data_simulation',data_name);
d0 = 0.8;
lam = 8;
dir_GT_in... |
5ae259f235ad6e83208aba7462678e66521e74f1543b1057c7e2d7c505baf510 | MATLAB | 3,629 | 139 | function VOR_Summary_Sriram_Gen(measure, excel_file, norm )
%{
Required
measure: Data to make into summary graph. Found in the excel file
optional
excel_file: location of the excel file. Default is current folder.
norm: '1' normalize data. '0' use raw values. Default is raw values.
%}
%% Prep Variables
if ... |
5fd607db6362311a36b4281a7a7361311b36e109330b28d91079fa01278d334f | MATLAB | 3,629 | 100 | function plot_fig_subcortex(file_path, output_plot_path, color_map, min_scale, max_scale, structure_label)
% Visualizing subcortex
% Author: Xinyu Wu and Guoyuan Yang, BIT.
%
% Inputs:
% - file_path
% Path of files to be plot, must be nifti format files with MNI152 2mm standard voxel space(109*91*91).
%
% ... |
5d9eebfdb7e00dc881825090194427f74a1598f8b9f4517349999cc8426a28e3 | MATLAB | 3,632 | 95 | function results = vl_test_kmeans(varargin)
% VL_TEST_KMEANS
% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vl_test_init ;
function s = setup()
randn('sta... |
e616604300947f24e4ebf49cb4dd7da69aace6b8d7b8a9adf292691d616cf0f0 | MATLAB | 3,634 | 94 | function varargout = add(tree,uid,type,parameter)
% XMLTREE/ADD Method (add childs to elements of an XML Tree)
% FORMAT vararout = add(tree,uid,type,parameter)
%
% tree - XMLTree object
% uid - array of uid's
% type - 'element', 'chardata', 'cdata', 'pi' or 'comment'
% parameter - property name (a char... |
1e2d031aa4566111ad6fa95586345bc10bda853838b3e267a5e634e755c280a1 | MATLAB | 3,635 | 123 | function [] = ExtDataFig01_TuningCurve_OptStim_Song
% Code for plotting the tuning curves of pulse and sine songs induced by optogenetics in Extended Data Fig. 1g,i.
GT = 'dPR1_Chr'; % Extended Data Fig. 1g
% GT = 'TN1_Chr'; % Extended Data Fig. 1i
switch GT
case 'dPR1_Chr'
Target = [7,8];
case 'TN1_C... |
3a8cdae1c49702dcca73e98fbd730204e2bcdbf91af49e8bf18f9696beb4de44 | MATLAB | 3,635 | 160 | function Resp=aedes_inputdlg(prompt_str,title_str,default_answer)
% AEDES_INPUTDLG - Input dialog box
%
%
% Synopsis:
% Resp=aedes_inputdlg(prompt_str,title_str,default_answer)
%
% Description:
%
%
% Examples:
%
% See also:
% AEDES
% This function is a part of Aedes - A graphical tool for analyzing
... |
57f95b13759146969030021c1bd8bec6b6287e9312f38979223b57bd684d7296 | MATLAB | 3,637 | 103 | % FREQEST - Estimate fingerprint ridge frequency within image block
%
% Function to estimate the fingerprint ridge frequency within a small block
% of a fingerprint image. This function is used by RIDGEFREQ
%
% Usage:
% freqim = freqest(im, orientim, windsze, minWaveLength, maxWaveLength)
%
% Arguments:
% im... |
47a139c8d5b5e42f04acaf71cb3105972a3a5d872a008b6d00a432186817b9b0 | MATLAB | 3,641 | 97 | classdef MLVideoRecordReader < handle
properties
videoFolder
mlvidrec % Video record to be displayed
videoType % Color or BW
numVideos
videoNumLoaded
videoFrames
numFrames
end
methods
function obj = MLVideoRecordReader( videoFolder, v... |
532e9b209d818781bac2e257422f11dbeb5ed35853fa3744e07fd97007325b99 | MATLAB | 3,641 | 112 | % mglGetKeyEvent.m
%
% $Id$
% usage: keyEvent = mglGetKeyEvent(<waitTime>,<getAllEvents>)
% alt usage: [keyCode when charCode] = mglGetKeyEvent(<waitTime>,<getAllEvents>)
% by: justin gardner
% date: 09/12/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purp... |
6fe8ef042e1c59bb0951e606a938f9217bd4be7c172bb6ccc31ff12b8f7b089e | MATLAB | 3,642 | 135 | function s=drawHierarchy(Sc,Tree,varargin)
% drawHierarchy Draw dendrogram for a hierarchical Tree
%
% Syntax
%__________________________________________________________________________
%
% drawHierarchy(Sc,Tree)
%
% drawHierarchy(Sc,Tree,Name,Value)
%
%
% Description
%______________________________________________... |
a74ff12a606456be6859c57d4b795db80ee374ff91961e989e2aa1a65c76be68 | MATLAB | 3,643 | 77 | function [Mdl, C, Accuracy, Sens, Spec, FI, labs]=get_RF(dataTr,groupTr,dataTe,groupTe,lab,NumTrees,PredSample,Method,kf,path,Seed)
%% hyperpar
trees=NumTrees;
pred=PredSample;
%% prep table for RF
T_resp = table(groupTr, 'VariableNames',{'group'}) ;
T = table(groupTr, 'VariableNames',{'group'... |
f516e15959d14fe54c2da60bcef91bdf33bdf6d4d25aabe096228e8979c47fcb | MATLAB | 3,644 | 149 | clearvars
%% choose horizon
disp('What horizon would you like to simulate?')
disp('Possible values 0,1, or 2 ')
prompt='nH=';
nH=input(prompt);
while ~ismember(nH,0:2)
disp('You must insert either 0, 1, or 2')
nH = input(prompt);
end
%% select alpha parameter
disp('Select the alpha parameter (within range [-0.... |
2719e37efef0fea0a5fb74ec8e7be64a3544206939e8883213785d4d8dc337aa | MATLAB | 3,647 | 101 | % mglPlotCommandResults: plot a sequence of command/frame time records.
%
% usage: mglPlotCommandResults(flushResults)
% by: Benjamin Heasly
% date: 01/19/2024
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Visualize a sequence of detailed command and frame t... |
2cf7530dc13de55d53553aaa890bedec7ec40cc4150bcd24c83e02751768a617 | MATLAB | 3,650 | 110 |
function [S,D, roots, rootTimes] = calculateAvalanches(raster, network, adjmat, t0)
%calculates avalanches according to a provided network
%the algorithm is similar to hoshen-koppelman. For a active unit i at time t
%there are three possible outcomes
%1 - no neighbour of i is active at time t-1 so i is the start ... |
70f8fabb673184947dc3ed7049670b1d6e46630b4e040681fa87e9c630968eda | MATLAB | 3,652 | 91 | function make_avi(Fmov, video_name, varargin)
% make_avi(video_name, Fmov, contrast_val)
%
% Function to write the movie Fmov to an avi movie file. The inputs to this
% function are:
% - Fmov - 3D array of data to save (mov(:,:,kk) is the kk^th
% frame of the movie)
% - video_name - St... |
a6d7e4de23fd99b985d97e1e586bd885ff17b1c181e4fbacaea6087764e5d8ed | MATLAB | 3,652 | 105 | function [GREPhase, GREMag] = mcpc3Ds(GREMag, GREPhase, Params)
% [GREPhase, GREMag] = mcpc3Ds(GREMag, GREPhase, Params)
% multiple coil phase combination with MCPC-3D-S and ASPIRE
%% Author: Xu Li
% Affiliation: Radiology @ JHU
% Email address: xuli@mri.jhu.edu
%
% Multiple channel phase combination - using MCPC-3D-S... |
57fad9d919734afe9eef487e01f010823128d75c90d7ea0a521bc247e3f068b8 | MATLAB | 3,653 | 129 | function [predictedLabels, score, accuracy, SV] = SVMmodel(observations, classes)
% The fitcecoc function in MATLAB is specifically designed for training
% support vector machines (SVMs) for multiclass classification using the
% error-correcting output codes (ECOC) framework.
% INPUTS
% observations: cell array, ea... |
af841d1f508e895e5d0239ee4b81d5c21c878d94944c8468346ba98b0f863148 | MATLAB | 3,655 | 109 | function [startstop]=find_startstop_v2(data, events, run, ID, varargin)
% FIND_STARTSTOP_V2
% This function detects the timepoints when a participant starts and stops
% when walking. This was defined as an increase/decrease in horizontal
% pelvis velocity over a threshold of 0.1 m/s after a start/stop signal was give... |
f39e8db57150aea333aef097dfe36df5ea4289e40747dfe32dfeb755be977643 | MATLAB | 3,655 | 101 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [hFig] = stabilitybfo90table_percell_plot_withinacross_prob_v1(StableMeanTable, StableErrorTable, UnstableMeanTable, UnstableErrorTable, showExcluded)
hasStable = true;
hasUnstable = true;
numGroups1 = s... |
d89e82b79b7981a1151cd5da105e2649cc1e65b4585f432ff2f42be800c7796e | MATLAB | 3,660 | 92 | function [t_s, pos_x_cm, pos_y_cm] = ml_sim_random_walk_rectangle(boundsx_cm, boundsy_cm, totalTime_s, samplingRate_hz)
% This code simulates a random walk confined to a rectangular area.
% The path simulation code performs a random walk with intermitent attraction to one
% of the 4 cups so that the paths a... |
76e20ec7e532a31a5dcdc7b3973862a6f484cb1f43a62a132861d733e0948d23 | MATLAB | 3,661 | 106 | function R=randmio_und_signed(R, ITER)
%RANDMIO_UND_SIGNED Random graph with preserved degree distribution
%
% R = randmio_und_signed(A,ITER);
%
% This function randomizes an undirected weighted network with positive
% and negative weights, while simultaneously preserving the degree
% distribution of posit... |
9fa86e5b715c08fbc392663c74ccab91dd3a4d761fda55c749b75045fdb3ac77 | MATLAB | 3,662 | 112 | function gui_lc (action)
%
% This file is used by FASTICAG
% This file holds the callbacks for load-dialog
% @(#)$Id: gui_lc.m 8776 2013-11-14 09:04:48Z roboos $
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Global variables
% Handle to the window
global hf_FastICA_Load;
% Hand... |
5d7c1c53c3fa0fbfc92b526ffebe6062b923dd2f941c62b810a75dd28b015ab3 | MATLAB | 3,667 | 149 | function ROI = aedes_copy_roi(ROI,roi_label,dir_ind,slice_ind,vol_ind,data_ind,copytype)
% AEDES_COPY_ROI - Copy ROI in X, Y, or Z direction
%
%
% Synopsis:
%
% Description:
%
% Examples:
%
% See also:
%
% This function is a part of Aedes - A graphical tool for analyzing
% medical images
%
% Copyright (C) 2006 Ju... |
937c2a5ebee5b5f49a0b96be56ed6ac6de5651fdc54fd8840a6ea5fd0114a63f | MATLAB | 3,667 | 130 | % Function File: [yf, t] = medianf (y, x, r)
%
% Calculates the median over a sliding window of y-values of 2r+1
% number of points, where r is the filter rank. This filter is
% particularly useful to subtract background [1,2]. For this
% application where the filter rank used is typically larg... |
e8bd9a4febb5d535610d7c18908313a1abbc38ecad9026f126b81d917ed893db | MATLAB | 3,667 | 85 | addpath(genpath('.'))
%%
% name of the videos
list_Exp_ID = { 'c25_59_228','c27_12_326','c28_83_210',...
'c25_163_267','c27_114_176','c28_161_149',...
'c25_123_348','c27_122_121','c28_163_244'};
num_Exp = length(list_Exp_ID);
avg_radius = 4; % added_refined_masks
lam = 15;
r_bg_ratio = ... |
945bfddce9eada30ca683d63bfeb153e1c210f074c13649e3c3ab1bd80e04612 | MATLAB | 3,668 | 122 | function [] = ExtDataFig03_AveTimeCourse_OptStim_Neuron()
% Code for plotting the time course of ΔF/F recorded from dPR1 and TN1A neurite in Extended Data Fig. 3a,h.Code for plotting the time course of ΔF/F recorded from dPR1 and TN1A neurite in Extended Data Fig. 3a,h.Code for plotting the time course of ΔF/F recorded... |
25bf1ac6e3acc4a943ba25cdbff7ee2076b048ef32b07d8bb28c4f650a73f269 | MATLAB | 3,671 | 140 | % loadCFSfile.m
% generic CFS loading file
% 13.03.09: version 1, JGC
% requires MATCFS32.DLL AND CFS32.DLL
% CFS constants
% 1.04.09: transpose z
INT1=0;
WRD1=1;
INT2=2;
WRD2=3;
INT4=4;
RL4=5;
RL8=6;
LSTR=7;
EQUALSPACED=0;
MATRIX=1;
SUBSIDIARY=2;
FILEVAR=0;
DSVAR=1;
READONLY=0;
WRITE=1;
... |
28c8147ea1d6820377ace5af2950eaa30812ea02659fe772bbb70478bd0a25b8 | MATLAB | 3,671 | 108 | %{
Copyright (C) Cambridge Electronic Design Limited 2014
Author: James Thompson
Web: www.ced.co.uk email: james@ced.co.uk, softhelp@ced.co.uk
This file is part of CEDS64ML, a MATLAB interface to the SON64 library.
CEDS64ML is free software: you can redistribute it and/or modify
it under the t... |
aa8fcf0a5ff58065e0e19f74f67d51c2c3ab78eb63ccc634c7bf95944151e7ab | MATLAB | 3,671 | 145 | % plotExFreeWalkTraj.m
%
% Script to plot example free walking trajectories (in XY plane) and
% corresponding forward and yaw velocities
%
% CREATED: 9/8/23 - HHY
%
% UPDATED:
% 9/8/23 - HHY
figure;
plot(bodytraj.tZeroed, bodytraj.angVelSmoS);
figure;
plot(bodytraj.tZeroed, bodytraj.fwdVelSmoS);
% these are the ... |
4942a58ad656194d6ef483ea1a6682a73654a7fcf14a686d0f47ad9f3db9fc20 | MATLAB | 3,673 | 97 | %function stsum(x,y,STS,elec,unit,cc);
function STS = stsum(x,y,STS);
% updates the STS global struct: .sts[odd/even/shuf,:], array 2x:; .Ns [2,1]
% computes STS for shuffled spike times, for odd only - .stsShuf
% input: x holds spike frames, y holds the signal
% bef_s and aft_s units are s
%
%sta, the STA funct... |
6e0d7d22afd3238202192e305875e40b29440b864517f6cc61f5f797c3893df7 | MATLAB | 3,678 | 133 | function [] = ExtDataFig04_AveTimeCourse_OptStim_Neuron()
% Code for plotting the time course of ΔF/F recorded from dPR1 and TN1A in Extended Data Fig. 4e,h.
GT = 'dPR1'; % Extended Data Fig. 4e
% GT = 'TN1SG'; % Extended Data Fig. 4h
%% parameters
nTrials = 3;
nStim = 6;
T = 1370; % T
FlightTrialThre = 3;
PreEvent... |
2a8d3c8ce66c1c9c01cfc30c326cef3ecdff17e6532f558b19a0083ae9db6728 | MATLAB | 3,684 | 92 | classdef MLBehaviourReaderH5 < mlbehaviour.MLBehaviourInterface
%MLBehaviour Implementation of the interface. Reads from h5 files.
% An implementation of the interface that can read from h5 files.
properties (SetAccess = protected, GetAccess = protected)
Filename
ArrayLength
P... |
8275008a68a1654a5a19c26e63ebf4ef519c6e07b71bd95135d69d5f8a08b2cf | MATLAB | 3,684 | 108 | % img2P.m
%
% Experimental Function
% For acquisition of 2P imaging data
%
% INPUTS:
% settings - struct of settings from twoPhotonSettings()
% flyData - fly metadata from getFlyMetadata()
% exptDuration - duration of experiment, in seconds
%
% OUTPUTS:
% exptReturn - returns 1 upon successful run (0 if not)
%
... |
a9fe206ffe5b70b660cf4093f8283b700a5eea67ff8e53e653a9a60ea91f6aa7 | MATLAB | 3,686 | 83 | function this = subsasgn(this, subs, A)
% Subscript assignment for GIfTI objects
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
% Guillaume Flandin
% $Id: subsasgn.m 8776 2013-11-14 09:04:48Z roboos $
switch subs(1).type
case... |
5dceb3669abfeffdc98abce9290e64b2f062ca00b711236392a38b42e796ce36 | MATLAB | 3,687 | 76 | function [settings] = ml_miniscope_pipeline_concatenated_load(experimentDescriptionSepFilename)
% The data is normally saved as separate trials. This points to the folder
% containing the experiment_description.json for the separate trials. Point
% this to the mouses parent directory that we will make a con... |
21185e8a8d1e9eb08346bffe9b50dbce82d2a3e9e09b5ec655b32473ea8b799a | MATLAB | 3,689 | 80 | function plotSelectedFFTProfile ( obj, varargin )
% Plot selected FFT profile
%
% Syntax:
% PLOTSELECTEDFFTPROFILE( obj, ax, event_date );
%
% Input parameters:
% * obj - object containg data
% * ax (optional) - axis where you want to plot
% * event_date (optional)
%
% Example:
% PLOTSELECTEDFFTPROFILE( o... |
5ffeb4509b1e7342a4b6b232b329037b86ed3a65e611f75810d9b524d5f65c99 | MATLAB | 3,689 | 107 | function plotCoherence ( obj, varargin )
% Plot coherence for LFP online streaming mode
%
% Syntax:
% PLOTCOHERENCE( obj, varargin );
%
% Input parameters:
% * obj - object containg data
% * ax (optional) - axis where you want to plot
% * data_type (optional) - type of input data (raw, ecg cleaned or filtere... |
0f08fd568afd6db62802dc99b663c329b49c816303cc4bd1623fca4420ed50f7 | MATLAB | 3,691 | 118 | % tickScreenGRU.m
%
% $Id: tickScreen.m 441 2009-01-30 04:50:34Z justin $
% usage: tickScreen
% by: justin gardner
% date: 12/10/04
% copyright: (c) 2006 Justin Gardner (GPL see mgl/COPYING)
% purpose: flip screen and update counter - for mgl - modified for use at RIKEN with
% ... |
576b3a89ae57f297067377354cefcafb1bf2412815e3b88a0c8b26bf10a76d0d | MATLAB | 3,691 | 105 | function [PDF, Tsamp] = gretna_PDF(Data, Npoints, Type)
%==========================================================================
% This function is used to calculate the probability distribution function
% of 1-D variable based on an optimized kernel density estimate.
%
% Syntax: function [PDF, Tsamp] = gretna_PDF(... |
0a903e846620ed614b5cc4a8ea2244c70ed71236fd3b2673dceb8c8f613703d9 | MATLAB | 3,693 | 91 | function [d2soz0, d2soz_lin, rm_edges_sorted, d2soz_rec, rec_set] = ...
VR_opt_deterministic()
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% If you use this code, then please cite:
% 1.- Ana P. Millan, et al. "Individualized epidemic spreading models
% predict epilepsy surgery outcomes: a pseud... |
90e9c299d9870e1b20fd43bda653f42525b2ddfdf0394193753289f3f2e46cae | MATLAB | 3,695 | 152 | function varargout = eyecamTecknet(vid, eyetrack, duration)
% Preview mode: eyecam(vid)
% Eye track mode: eyeresults = eyecam(vid, 1, filepathname)
if ~exist('eyetrack','var')
eyetrack = 0;
end
if ~exist('duration','var')
duration = 60;
end
himg1 = [];
himg2 = [];
time1 = [];
time2 = [];
start(vid(1));
sta... |
c7d88f13f41c496e7c329b9da7d8eafd5d7fdb89c0d78285f449f9c0346364be | MATLAB | 3,696 | 103 | function [Iedge dists map gaps] = vl_quickvis(I, ratio, kernelsize, maxdist, maxcuts)
% VL_QUICKVIS Create an edge image from a Quickshift segmentation.
% IEDGE = VL_QUICKVIS(I, RATIO, KERNELSIZE, MAXDIST, MAXCUTS) creates an edge
% stability image from a Quickshift segmentation. RATIO controls the tradeoff
% bet... |
67a5eb1bbb7d8e3ba7452603d860f5177b6c3b5a673fb7499ffd7ea00d4f5ea6 | MATLAB | 3,700 | 138 | function [] = ExtDataFig03_AveTimeCourse_OptStim_SelfOpt_TTX_Neuron()
% Code for plotting the time course of ΔF/F recorded from dPR1 and TN1A neurons in Extended Data Fig. 3n,o.
GT = 'dPR1'; % Extended Data Fig. 3n
% GT = 'TN1A'; % Extended Data Fig. 3o
%% parameters
nTrials = 2;
nStim = 6;
T = 1370; % T
PreEventImg... |
71a037fb38170e4036d416ca210c4227c4e6c7c24b1db24f4e953ed8e20a0c2a | MATLAB | 3,701 | 120 | %% fitlm between str connectivity, dis, commu and gene co-expression
%% the dis and communicability are calculated by averaging individual auc
%% para
path = pwd;
roi_num = 48;
R_index = 8:2:48;
rand_time = 10000;
p_thr = 0.05;
p_fdr = 0.05;
results = struct;
%% data
% dis data
load('dis_whole.mat','dis_matrix_bi'... |
e1df010d9c1e1198585ef0e8b70dc73030dfa12e44362b79be9edfd6b382c522 | MATLAB | 3,702 | 133 | %% Figure 1: Eigenvalue Frequency Script
%% Setup:
scale = 200;
filename = sprintf('MICA_schaefer%d_SCFC_struct.mat',scale);
% filename = sprintf('MICA_HCP_schaefer%d_SCFC_struct.mat',scale);
load(filename);
n_subjects = length(MICA);
nroi = length(MICA(1).SC);
SC_all = zeros(nroi,nroi, n_subjects);
... |
ff397b6f4620df84a803f579fc248a9ba47ac9096bd1ae015982e56437608291 | MATLAB | 3,702 | 107 | function spm_smooth(P,Q,s,dtype)
% 3 dimensional convolution of an image
% FORMAT spm_smooth(P,Q,S,dtype)
% P - image to be smoothed
% Q - filename for smoothed image
% S - [sx sy sz] Gaussian filter width {FWHM} in mm
% dtype - datatype [default: 0 == same datatype as P]
%__________________________________... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.