sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
a38e3d9c4ea9823ce2f7948d258e0267e367037d479e1b0351c454aca471c1b0 | MATLAB | 772 | 27 | function [model_collection, params] = import_temp_models(model_collection, params)
my_files = dir(fullfile(strcat(params.experiment_directory,'/tmp'),'*.mat'));
for temp_model_idx = 1:size(my_files, 1)
if ~any(strcmp(params.temp_model_paths, my_files(temp_model_idx).name))
model = load(fullfile(my_file... |
5d1457c24d21b4701ddf73d619b3db8fd4973255051df7361096e74d7e40a2eb | MATLAB | 775 | 28 | % crop in x-y plane: get crop from max/sd projection, crop stack
function [ cstack ] = cropStackRect( stack, rectin )
% cstack is the cropped stack
% rect, rectout are the coordinates selected by the user
maxpro = projectMax( stack );
maxpro = histeq( maxpro );
rect = round(rectin);
height = rect(4); % size( series1{1... |
2acfc31abb3ce59649fb1fb651929d4ac012d629372511e9df73ba053778a5c7 | MATLAB | 776 | 28 | function [name_cell, variable_cell] = zef_get_profile_parameters(zef,varargin)
parameter_index = [];
if not(isempty(varargin))
parameter_index = varargin{1};
end
parameter_profile = eval('zef.parameter_profile');
zef_n = 0;
for zef_k = 1 : size(parameter_profile,1)
if ismember(parameter_profile{zef_k,8},... |
6258efb1b98078464a5463cc550b849aae872a3702181a5d986c838671a50a70 | MATLAB | 776 | 19 | function [connection_w0_rewire,connection_lateral_rewire] = fun_delFF_rewireLRC(connection_w0_ori,length_matrix,...
p_lateral,convergence_range,edge,ind_connRange,ind_pdf)
%% add lateral connection
p_rewiring = floor(p_lateral*length(find(connection_w0_ori)));
y = fun_generate_connRange_pdf2(ind_connRange,ind... |
8fba5523c228c380ecfcd2f75442cf44a4d22ae86fca74da0e55b3561cdf5ce1 | MATLAB | 777 | 37 | function result = parforprogress(TODO, lambda, message, debug)
%PARFORPROGRESS parfor with a progress bar
if nargin<3
message = 'Please wait ...';
end
if nargin<4
debug = false;
end
h = waitbar(0, message);
ndone = 1;
result = zeros(TODO,1);
function nUpdateWaitb... |
e5ec62a8a1b1feb6d980d62b152121eca277f3c533d25cd27c126bc02e33a738 | MATLAB | 777 | 31 | function [X, I, L] = feature_extraction(data, spk_model, parm)
% linear matching score
l_score = matching_score(data, spk_model);
%l_score = [0 diff(data.y)];
% nonlinear matching score
ref_sig = l_score;
svm_threshold = mean(ref_sig)+std(ref_sig)*parm.threshold;
flag_refrac = 0;
cand_idx = [];
cand_value = [... |
8d2f715b3da23b4313052ee1fe9508a2a8588d2cd329893949e71480df2e1f78 | MATLAB | 778 | 12 | function zef_forward_simulation_table_selection(hObject,eventdata,handles)
forward_simulation_selected = eventdata.Indices(:,1);
forward_simulation_column_selected = eventdata.Indices(1,2);
forward_simulation_selected = unique(forward_simulation_selected);
forward_simulation_selected = forward_simulation_selected(:)';... |
d3ae07b75aae71e90c604c1149d6274355be8665b7705702f2525589fe39f94e | MATLAB | 778 | 29 | function vecMahal=getMahal2(matThisData,vecMu,matThisCov)
%UNTITLED8 Summary of this function goes here
% Detailed explanation goes here
%get number of trials
intTrials=size(matThisData,1);
%loop is faster....
vecMahal=nan(1,intTrials);
for intTrial = 1:intTrials %can be used as parfor
vecXY = (matThis... |
311f96511650e077d17e9051072211d1ba3cfbb4c69ac986de244c701fc649eb | MATLAB | 779 | 18 | function update_node_press(app, value)
switch app.TabGroup.SelectedTab.Title
case 'Evaluate Model'
current_value = app.HighlightedNode.Value;
if current_value + value <= app.HighlightedNode.Limits(2) && current_value + value >= app.HighlightedNode.Limits(1)
app.HighlightedNode.Valu... |
79b8f75aabd19aeaaed102781de167dd985c5ed298041177bcdaa832419e0754 | MATLAB | 779 | 36 | function PSD = project_PSD(hmm,Gamma,X,T,A,bands,options)
% Projects a spectral estimation for the hmm from PCA space to original space
%
% Author: Diego Vidaurre, University of Oxford (2016)
ndim = size(A,1);
nbands = size(bands,1);
K = length(hmm.state);
if isfield(hmm.state(1),'f')
fit = hmm;
else
fit = h... |
6183f9bca1fed3e363bd8bfdef8da33af57536cbd631a5a0c3252780e9609d6a | MATLAB | 780 | 21 | function ell_idx = zef_ES_plot_4x1
sensors = evalin('base','zef.sensors(:,1:3)');
source_pos = evalin('base','zef.inv_synth_source(1,1:3)'); % Position
source_ori = evalin('base','zef.inv_synth_source(1,4:6)'); % Orientation
ell_idx = zef_ES_4x1_sensors;
axes(evalin('base','zef.h_axes1'));
hold on
quiver3(source_po... |
24f6da1077d7e15dd57f4ac7f628244080374fe1729cfa14f4a3018ba7058aaa | MATLAB | 781 | 26 | function [relative_size] = zef_get_relative_size(object_handle)
set(object_handle,'units','pixels')
object_size = get(object_handle,'position');
object_children = findall(object_handle,'-property','Position');
object_children = setdiff(object_children,object_handle);
relative_size_aux = get(object_children,'Position')... |
e7059dedfdf1558a0e5180d041c17437d253c8ba7ccc551d251c54532ec02ddd | MATLAB | 782 | 23 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function [eit_ind,eit_count] = make_eit_dec(nodes,tetrahedra,brain_ind,source_ind)
h = zef_waitbar(0,1,'Field decomposition');
center_points = (nodes(tetrahedra(:,1),:) + nodes(tetrahedra(:,2),:) + n... |
c117deb225ae6120b2f66a7159ed1b64283290a71906796bf139c98a21869aca | MATLAB | 783 | 33 | function slider_value_new = zef_update_transparency_additional(varargin)
if isequal(evalin('caller','exist(''zef'')'),1)
zef = evalin('caller','zef');
else
zef = evalin('base','zef');
end
if not(isempty(varargin))
h_figure = varargin{1};
else
h_figure = eval('zef.h_zeffiro');
end
h = findobj(get(h_fi... |
135cec04ae29a2ba4c0ba352934b9c25f52ae0b941b8dfc11d49ec138735cf59 | MATLAB | 784 | 17 | function generate_parameter_space_parameter_estimation(app)
app.parameter_space_parameter_estimation = axes('Parent', app.ParameterSpacePanel_PE, 'Units', 'pixels',...
'OuterPosition', [15 9 235 200], 'InnerPosition', [36.7333 33.7333 205.7667 164.9667],...
'Box', 'on');
... |
8ac97fde02653a91e726f430a1a81a7443dde70c79eb337afe3c109914b86b59 | MATLAB | 784 | 21 | function ell_idx = zef_ES_plot_4x1_fun
sensors = evalin('base','zef.sensors(:,1:3)');
source_pos = evalin('base','zef.inv_synth_source(1,1:3)'); % Position
source_ori = evalin('base','zef.inv_synth_source(1,4:6)'); % Orientation
ell_idx = zef_ES_4x1_sensors;
axes(evalin('base','zef.h_axes1'));
hold on
quiver3(sourc... |
2a619f5cee9cccc038467802d2b4023082bd46f3af4eaf77213cdf282916c61a | MATLAB | 785 | 36 | function [y, dy] = zef_nse_balloon_model_solver(time_vec, blood_flow_signal_decay_rate, flow_dependent_elimination_constant, neural_activity_impulse, relative_mollification,t_min, t_max)
if nargin < 5
relative_mollification = 0;
end
if nargin < 6
t_min = time_vec(1);
t_max = time_vec(end);
end
f = 1;
df = 0;
if r... |
3947d982792346091eeb6e3b63d27d800c23377764a11ad878df0c97833b4c90 | MATLAB | 786 | 33 | function [m, P, K, D] = kf_sL_update_approx(m,P,y,H,R,standardization_exponent)
% Approximating the inverse of square root matrix
N = 5; M = 1;
Z = eye(length(m));
Y = P;
invY = Z;
invZ = Z;
for n = 1:N
for k = 1:M
invY = 2*invY-invY*Y*invY;
invZ = 2*invZ-invZ... |
059e7f590d264da723fa1791d6d12d01958d4143c14a869b17fd4bb84004bf13 | MATLAB | 787 | 35 | function save_dats(out_dir)
arguments
out_dir (1,1) string { mustBeFolder }
end
dir_name = fullfile(out_dir);
a = dlmread(fullfile(dir_name, 'lh_labels_76.asc'),' ', 2, 0);
a = a(:,[1,3,5,7]);
save(fullfile(dir_name, 'lh_points_76.dat'), '-ascii', 'a');
a = dlmread(fullfile(d... |
0cb84ff2854268d0e39367c764edb1c09bd7bf516c569aab42b347cb356c1105 | MATLAB | 787 | 43 | function h_surf = zef_plot_ellipsoid(position,a,b,c,z,color)
h_axes = gca;
hold_state = ishold(h_axes);
if not(hold_state)
hold on;
end
%make sure z is column vector
z = z(:)/norm(z);
if isequal(abs(z),[0 0 1]')
x = [1 0 0]';
else
x = 1/sqrt(z(1)^2+z(2)^2)* [z(2) -z(1) 0]';
end
y = cross(z,x);
%ro... |
2f826ba62d58fe0ee119fb0bbb7689e6c28ab903dc86ee44120cb9fe9a122c41 | MATLAB | 787 | 31 | function [stim] = IACsinAFC3(dur,fs,fm,BPfilt)
%Oscillating IAC 3 AFC
%this function will return a stim containing 2 noises with a correlation of
%0 and one with a sinusoidally oscilliating correlation at frequency fm
%Ramping and scaling will have to be done outside this function
% dur in seconds, fm in Hz
nbn1 = ran... |
58301933fd84ff27da92c90f88fdd639bf03a8c4a8c449c43a3ba40062c166df | MATLAB | 787 | 35 | % myobj = SpikeGL()
% myobj = SpikeGL( host )
% myobj = SpikeGL( host, port )
%
% Construct a new @SpikeGL instance and immediately attempt
% a network connection. If omitted, the defaults for host and
% port are {'localhost, 4142}.
%
function [s] = SpikeGL( varargin )
host = 'localhost';
port = 41... |
a5ad91946153d4e887ee76cd842ef8f1646beae460b2a5871f7054c4d4574fd1 | MATLAB | 787 | 34 | function zef = zef_dataBank_getHashForTableMenu(zef)
if nargin == 0
zef = evalin('base','zef')
end
if isempty(zef.dataBank.app.DataTable.Selection) %either no selected or no node in tree, either way start on first level
disp('please select nodes');
return;
else
if size(zef.dataBank.app.DataTable.Sel... |
2f4a91a042237008c76f6699be526f082a09fd2bb0517ce686f96cfa3c4380a9 | MATLAB | 790 | 15 | %Copyright © 2021- Sampsa Pursiainen & GPU-ToRRe-3D Development Team
%See: https://github.com/sampsapursiainen/GPU-Torre-3D
function [u_data_mat_complex, f_data_mat_complex, rec_data_complex_receiver] = load_jacobian_data_complex(path_data, data_name, torre_dir)
load([torre_dir '/' data_name '/point_' int2str(path_d... |
1f299f45fd3752f60fa2581037adf5e13f20b3e9e51276e708adfd4ccb729819 | MATLAB | 791 | 20 | function [L, measurements] = zef_lead_field_whitening(lf_bank_index)
%Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
%This function normalizes the lead field data for a given lead
%field bank entry.
%Description: Lead field whitening via noise data
... |
24ca3b8cb80b499e56eeedd3a67035a7410ebda85a6ba621f6ef1cbab2e555e3 | MATLAB | 791 | 16 | function zef_compartment_table_selection(hObject,eventdata,handles)
compartment_selected = eventdata.Indices(1);
compartment_tags = evalin('base','zef.compartment_tags');
compartment_tag_ind = evalin('base','length(zef.compartment_tags)') - compartment_selected + 1;
evalin('base', ['zef.current_compartment = ''' comp... |
abbc6f116b9f47403945939c8a6b579bc5850e78755a3013547dfa99e852dbd1 | MATLAB | 791 | 31 | %Copyright © 2021- Sampsa Pursiainen & GPU-ToRRe-3D Development Team
%See: https://github.com/sampsapursiainen/GPU-Torre-3D
parameters;
if not(exist('gpu_id'))
gpu_id = default_gpu_id;
end
max_plot_val = 0;
gpuDevice(gpu_id);
if compute_in_pieces == 1
time_series_id_vec = [time_series_id];
else
time_se... |
6246bbf0ef9fa9c99033fefff8536bc91f7a1debcde1edfd5b55d4ae865f0d33 | MATLAB | 792 | 34 | function isstable = checkhmmmar(hmm)
% Checks for stability, which implies stationarity
% Needs the Econometrics Toolbox
%
% INPUTS:
%
% hmm hmm structure
%
% OUTPUTS
% stability vector indicating stability for each MAR (K x 1)
%
% Author: Diego Vidaurre, OHBA, University of Oxford
K = length(hmm.s... |
038e3d2fd398c01fa9cd5f2e72a55dff8cfdc07f9dc7a966fcb658abd6c3d47c | MATLAB | 794 | 19 | function [processed_data] = zef_exclude_channels(f, exclude_channels)
%Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
%This function processes the N-by-M data array f for N channels and M time
%steps. The other arguments can be controlled via the ZI... |
8099784ef234e460a3b4b0398314f2131c7e9d31f70af3c03d0b99e618e3e3f0 | MATLAB | 794 | 36 | % gamma_spike_generator
%èíßöACvÆVFCvp[^ÈÌÖWÍA
%Cv=1/sqrt(È) : È= 1/Cv^2
DEBUG = 1;
fs = 100; % sampling rate [Hz]
Nspike = 100; % # of spikes
firing_rate = 100; % mean firing rate [Hz]
Cv = 0.5;
shape_parm = 1/Cv^2; % shape parameter of gamma process
ISI = rand(Nspike-1,1);
I... |
d7c4ed06e9cf31c379edb56d5881081b8cf3be445cf279bc95ee1fb8bbb56cad | MATLAB | 795 | 27 | % Run configCluster on command window before running
%%
c = parcluster;
c.AdditionalProperties.AccountName = 'project_2002680';
% MemUsage to memory per core (in MB)
c.AdditionalProperties.MemUsage = '1024';
% 5 hour walltime
c.AdditionalProperties.WallTime = '48:00:00';
c.AdditionalProperties.EmailAddress = 'paavo.ron... |
d2d8de518f33c2bab192eca9f3ec27488d013e2af04f8dbf34285537294dbc72 | MATLAB | 796 | 27 | function s = getBehAssociation(Gamma,y,T,synch)
% Returns, for each time point, how well the state time courses predict
% the variable y across trials, which must have dimension (trials by 1)
%
% Author: Diego Vidaurre, OHBA, University of Oxford (2018)
if ~all(T(1)==T)
error('Synchronisity can only be measured if... |
6d3f662725430e33d808a3a0e45b7bba6b3f5bd4ca09e60dacfa609ac589f3ea | MATLAB | 797 | 13 |
if not(isequal(zef.file,0))
[zef.aux_points,zef.aux_triangles,zef.aux_submesh_ind] = zef_get_mesh(zef,[zef.file_path zef.file],zef.current_compartment,zef.surface_mesh_type,'full');
eval(['zef.' zef.current_compartment '_points = zef.aux_points;']);
eval(['zef.' zef.current_compartment '_triangles = zef.au... |
ecf0cf08dae0029149b61da593105ec605fe7d4f0fc3a486e08eccf3b6612f1d | MATLAB | 797 | 37 | function [stats_avg,conditions] = average_stats_across_conditions(stats,conditions)
if nargin < 2
conditions = {1:length(stats)} ;
end
if ~iscell(conditions)
conditions = {conditions(:)} ;
end
stats_avg = struct ;
for i = 1:length(conditions)
if i == 1
stats_avg = avgstruct(stats(conditio... |
47bfa76adbe9fcfc42735f7863a3038d16b7cb36ca389bd8a9495e7590b36c1a | MATLAB | 799 | 19 | function node_ind = zef_point_in_cluster(reuna_p,reuna_t,nodes,threshold_value)
aux_vec_1 = (1/3)*(reuna_p(reuna_t(:,1),:) + reuna_p(reuna_t(:,2),:) + reuna_p(reuna_t(:,3),:))';
aux_vec_2 = reuna_p(reuna_t(:,2),:)'-reuna_p(reuna_t(:,1),:)';
aux_vec_3 = reuna_p(reuna_t(:,3),:)'-reuna_p(reuna_t(:,1),:)';
aux_vec_4 = cro... |
4ddb6c761a091e41936333f1961563156bcbf9aeb8cd39dd96c9a988aef968a5 | MATLAB | 800 | 21 | % OV_MATLAB toolkit
% OV_setSignalOutputHeader.m
% -------------------------------
% Author : Laurent Bonnet (INRIA)
% Date : 28/07/2011
% Set the header information on a signal output.
% MEANT TO BE USED IN USER SCRIPT
function box_out = OV_setSignalOutputHeader(box_in, output_index, nb_channel, nb_samples_per_buf... |
81c334acb02fcff3cc5bc40a4455c249b468790bbf30ff490c8357fa67765327 | MATLAB | 801 | 42 | function s_o = zef_minmax_svd_ori(s_roi,minmax,L,varargin)
radialRef = [];
if nargin>3
radialRef = varargin{1};
end
if strcmp(minmax,'max')
svd_max = true;
elseif strcmp(minmax,'min')
svd_max = false;
else
error('Argument must be "min" or "max"');
end
ori_all = zeros(size(s_roi,1),3,2)... |
e55ecd18069811b23b8dbc0e187fdfdb127aba27fadd1c547bb030b6bf830400 | MATLAB | 802 | 25 | function [spontRate, drivenRate, spontSTD, drivenSTD] = SpontaneousRate(spikes,stim_time,period)
%Designed for output from NEL
%spikes = 2 columns, first column is trial#, second is spike times
%stim_time = time stimulus is on
%period = stim_time + off time
Trials = max(spikes(:,1));
stim_time = stim_time/1000; perio... |
81f0bc8fd55ef1e2c0e0617e7ccddd79403cc2fba69c466c17ce2b95622cfb47 | MATLAB | 803 | 24 | % openvibe toolbox for Matlab
% OV_getStreamedMatrixOutputHeader.m
% -------------------------------
% Author : Laurent Bonnet (INRIA)
% Date : 28/07/2011
% Set the header information on a signal output.
% MEANT TO BE USED IN USER SCRIPT
function [errno, nb_dimensions, dimension_sizes, dimension_labels] = OV_getStr... |
403759622dfb1e156cc6bb11171705f7cc578c11f4dd81497fe929119cf4edbc | MATLAB | 805 | 40 | function [value] = func_limits(value, limit_type)
%% limitations
qdt_lim = [-0.05, 0.05];
q2dt_lim = [-0.3, 0.3];
% limit type:
% 1 : dq/dt
% 2 : d2q/dt2
if limit_type == 1
if value(1) > qdt_lim(2)
value(1) = qdt_lim(2);
end
if value(1) < qdt_lim(1)
value(1) = qdt_lim(1... |
d002f9ee58ae4055be7a5c70040d1352ba688201a862962ee0450a88a71d21bc | MATLAB | 805 | 39 | function [tetra,labels_tetra] = zef_hexa_to_tetra(hexa,varargin)
labels_hexa = [];
h = zef_waitbar(0,1,'Mesh conversion.');
if not(isempty(varargin))
labels_hexa = varargin{1};
end
n_cubes = size(hexa,1);
ind_mat_1 = [ 3 4 1 7 ;
2 3 1 7 ;
1 2 7 6 ;
7 1 ... |
078df4a538190fa72233d9f1687ba4399dfcdca2c9341b13b0e5daa8facbeb28 | MATLAB | 806 | 23 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function [gravity_ind,gravity_count] = zef_make_gravity_dec(nodes,tetrahedra,brain_ind,source_ind)
h = zef_waitbar(0,1,'Field decomposition');
center_points = (nodes(tetrahedra(:,1),:) + nodes(tetrah... |
e2ae3f5e46ba62b36c2128208c7c9778515a0b9d776781a8a588f8019383b7c3 | MATLAB | 807 | 18 | function zef_meshing_example_thalamus_refinement
project_struct = zeffiro_interface('start_mode','nodisplay','import_to_existing_project','scripts/scripts_for_importing/multicompartment_head_project/import_segmentation.zef');
project_struct.mesh_smoothing_on = 1;
project_struct.refinement_on = 1;
project_struct.refin... |
26ceca4a22cd320a0d8ca1b72a26a5a440f8beb5ff21c19b2bf296735a6ae103 | MATLAB | 809 | 21 | % from bst_scout_value.m get the PCA function
function [F, explained] = PcaFirstMode_fromBST(F)
% Remove average over time for each row
Fmean = mean(F,2);
F = bst_bsxfun(@minus, F, Fmean);
% Signal decomposition
[U,S,V] = svd(F, 'econ');
S = diag(S);
explained = S(1) / sum(S);
%Find wher... |
d9664c1671f62de179276265a42e368922c7b958450bf962b3b693f6ed3fac8f | MATLAB | 809 | 26 | function valid_dims = computeValidDimensions(data,options)
% Evaluate a matrix of connections S and return which elements are to be
% analysed for variance and standardisation.
S = options.S;
if ~isfield(options,'distribution') || strcmp(options.distribution,'Gaussian')
if all(S(:)==1)
valid_dims = [1:leng... |
da4335b51e25b5778698efe8a90a007443fd2df72efba86e1591e12077ca1c4e | MATLAB | 812 | 42 | function hcb = nancolorbar(varargin)
%nancolorbar Create color bar with nan values, hiding nan entry
% hcb = nancolorbar(matIn,[minVal,maxVal],colmap,nancol)
matIn = varargin{1};
if nargin > 1 && numel(varargin{2}) == 2
cMin = varargin{2}(1);
cMax = varargin{2}(end);
else
cMin = min(matIn(:));
cMax = m... |
50efdb78b4b4d594677b730b33b6a1905b66b86e932de3f3b50b0c1b29d7f91b | MATLAB | 813 | 19 | function ETO_updateMonitor(sFigETOM,sPupil,sPupil1,dblT,dblTotDurSecs)
%update time
sFigETOM.ptrTextCurT.String = sprintf('Now at: t=%.3f s / %.3f s',dblT,dblTotDurSecs);
%axes 1
scatter(sFigETOM.ptrAxesPlot1,dblT,sPupil.dblEdgeHardness,[],[1 0 0],'.');
scatter(sFigETOM.ptrAxesPlot1,dblT,sPupil.dblSyncLum,[],[... |
84f71fedb8b82a5f28e267d65bbd7d026745de53e7fe6ddce92fccedc8578004 | MATLAB | 813 | 30 | % distance between ROIs
function [ goodROIs, Z, row, col, indices ] = goodROIs( hROI, minDistance )
indices=[];
goodROIs=[];
row=[];
col=[];
thresh=minDistance; % units are microns, the size of one pixel is 1.3 microns
% thresh=13 is about a cell body distance
nROIs = length(hROI.combo);
index=1;
for ii=1:nROIs
% fo... |
6d99998685888cfa7c13ab7ef19e458aa34fd43e72812640d551352257136881 | MATLAB | 814 | 12 | zef_n = 0;
for zef_k = 1 : size(zef.parameter_profile,1)
if isequal(zef.parameter_profile{zef_k,8},'Segmentation') && isequal(zef.parameter_profile{zef_k,6},'On') && isequal(zef.parameter_profile{zef_k,7},'On')
zef_n = zef_n + 1;
zef.h_compartment_table.ColumnName{zef_n+zef.compartment_table_size}... |
789dc921e89948d8bb08ea82d23271276e59ea041139272805a2d5e82895c872 | MATLAB | 814 | 27 | function [P_store,z_inverse] = kalman_filter(m,P,A,Q,L,R, timeSteps ,number_of_frames, smoothing, q_given)
P_store = cell(0);
z_inverse = cell(0);
if not(q_given)
q_values = Q;
end
h = zef_waitbar(0, 'Filtering');
for f_ind = 1: number_of_frames
zef_waitbar(f_ind/number_of_frames,h,...
['Filtering ' int... |
084235eee4357b672e947b521fd3d9d3c4aa6070cb9884870529caacd7e2c0a3 | MATLAB | 816 | 44 | function out_L = zef_set_lead_field_zero_potential( ...
in_L, ...
in_electrodes ...
)
% Documentation
%
% Sets the zero potential level of a given lead field based on a given set
% of electrodes.
%
% Input:
%
% - in_L:
%
% The lead field matrix whose zero potential level we are adjusting.
%
% - in_electr... |
9ba2d89756d0c62fb5193668a5eda7b65eda1e86ec832004d9dcb38972168f4d | MATLAB | 816 | 29 | function subcompartment_ind = zef_compartment_to_subcompartment(zef,compartment_ind)
if isempty(zef)
zef = evalin('base','zef');
end
compartment_tags = eval('zef.compartment_tags');
subcompartment_ind = [];
compartment_counter = 0;
subcompartment_counter = 0;
for i = 1 : length(compartment_tags)
on_val = ... |
9e4ebeb6911f6437458a321740a5cc14a8d2356f6f7b908a22b5b684c4b33f1f | MATLAB | 816 | 32 | function [Ytest d C] = clustercov(Ctest,Ctrain,Nclass,varargin)
if isempty(varargin)
method_mean = 'riemann';
method_dist = 'riemann';
method_clust = 'complete';
else
method_mean = varargin{1};
method_dist = varargin{2};
if length(varargin)<=2
method_... |
120b7d17947df8bb8ac64bfb28594f47158f8f7a8bd1f66f5e47203ee9d31881 | MATLAB | 820 | 17 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
if isempty(zef.plugin_cell)
zef.plugin_cell = readcell([zef.program_path '/profile/' zef.profile_name '/zeffiro_plugins.ini'],'filetype','text','delimiter',',');
end
for zef_i = 1 : size(zef.plugi... |
71b8987bbf597d6a8ba4b189dc6569311d42d543a1dc64ebf9c3dbd03c29f65b | MATLAB | 820 | 31 | function [binned_events] = bin_events(event_matrix, bin_size, bin_function)
% Reviewed Darik A ONeil 04-16-2023
%
% I don't know of a generator type return for matlab, so I guess we have to do it this way?
%
%
samples = size(event_matrix, 1);
edges = 1:bin_size:(size(event_matrix,1));
num_features = size(event_matrix... |
b6f981c3bdcd023c39ef023993638ea549926e26b14f41b614ceb4bbb68c5110 | MATLAB | 820 | 30 | function obj = select_time(obj,time)
switch class(obj)
case 'microstate.cohort'
for i = 1:length(obj.individual)
obj.individual(i) = microstate.functions.select_time(obj.individual(i),time) ;
end
case 'microstate.individual'
idx = (obj.ti... |
e2cb2f14d818887c64bc7acc059a70232785515a41bea20e21287bb9f16cec61 | MATLAB | 820 | 30 | function ratemap = kde(n,k,sigma)
%{
Estimate rate using Gaussian KDE smoothing. This is
better than estimating the rate using a binned
histogram, but worse than a Gaussian-Process estimator.
Parameters
----------
n: 2D np.array
Number of visits to each location
k: 2D np.... |
e49a0959166610305b6fdf2762c90ae7bc0c93e7add39e64d4f99027c60fbad3 | MATLAB | 820 | 24 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
if not(isempty(zef.save_file_path)) & not(zef.save_file_path==0)
[zef_data.file zef_data.file_path] = uigetfile('*.mat','Load filter',zef.filter_save_file_path);
else
[zef_data.file zef_data.fi... |
0f42b29e7b00462341fd2450b7e8c3f9b33bebdfdb5700dc243e58710cab7592 | MATLAB | 821 | 25 | function [A cf] = thirdoct(fs, N_fft, numBands, mn)
f = linspace(0, fs, N_fft+1);
f = f(1:(N_fft/2+1));
k = 0:(numBands-1);
cf = 2.^(k/3)*mn;
fl = sqrt((2.^(k/3)*mn).*2.^((k-1)/3)*mn);
fr = sqrt((2.^(k/3)*mn).*2.^((k+1)/3)*mn);
A ... |
df557f8b5047fa550a538ed4e7e5fcc40f59ec3b86a2307fe859ad14565d4035 | MATLAB | 823 | 24 | function h_source = zef_plot_dipoles_in_ROI(zef,roi_source_pos,s_o,dip_amp)
%since we are not outputting zef, we can safely change some fields
%used by the FindSytheticSourceLegacy plugin and then just use the zef_plot_source function
zef.inv_synth_source = zeros(size(roi_source_pos,1), 10);
%le... |
4aebf6e9ded3f679c107365e94efc5fe480eb3b7ceaee443104e79618aa6b0f3 | MATLAB | 824 | 22 | function zef_source_tree_addnode_pushed(~, ~, ~)
%ZEF_SOURCE_TREE_ADDNODE_PUSHED Add a child to currently selected tree node
% and update zef.source_tree accordingly.
zef = evalin('base','zef');
selected_node = zef_source_tree_get_selected(zef.h_source_tree.SourceTree);
if isempty(selected_node)
uialer... |
4b22c874c063bea02c72a4c764af9d6afc865692759a74202a9e1c5ea6c366aa | MATLAB | 825 | 28 | function obj = stats_gfp_peaksfreq(obj)
% Calculate number of GFP peaks per second
if isempty(obj.gfp)
obj = obj.calculate_gfp ;
end
% Check inputs
if isempty(obj.time)
error('To calculation gfp peaks per second, time is required')
end
if length(obj.time) ~= length(ob... |
92571ca39d0fbeb1cd5cbca609d3ee6c770a6ed710effd742eb17ecea2d1a77b | MATLAB | 825 | 24 | function zef_source_tree_reset_pushed(zef, ~, ~)
%ZEF_SOURCE_TREE_RESET_PUSHED Reset the entire source tree and related data.
zef = evalin('base','zef');
% Delete all nodes from the UI tree
delete(zef.h_source_tree.SourceTree.Children);
% Remove stored source tree data
if isfield(zef,'source_tree')
... |
25340abe38df844f9fe6abdbd44ab29c39b4826d9f2a3684284e5f724911ff44 | MATLAB | 826 | 27 | function perf = eval_performance(spike_time, est_spike_time, constraint_interval, cost)
if nargin < 3, constraint_interval = 0.05; end
if nargin < 4, cost = 1; end
perf.spike_time = spike_time;
perf.est_spike_time = est_spike_time;
perf.spk_distance = spkd(spike_time, est_spike_time, cost);
% detection rate
[hit, mi... |
59a3e5dd3bbae01313fb7be25b289eb439007f7137f4cdc21dc658b7cbe95f64 | MATLAB | 826 | 26 |
function zef_filter_plot_data
f = evalin('base','zef.processed_data');
sampling_freq = evalin('base','zef.filter_sampling_rate');
if size(f,2) > 1
t_vec = double([1:size(f,2)]-1)./sampling_freq;
end
axes(evalin('base','zef.h_axes1'));
cla(evalin('base','zef.h_axes1'));
hold(evalin('base','zef.h_axes1'),'off');
... |
6c100fb88d26b3976c6aa5dd473d35e4f199a53e6968dd6a3fccd89c14f1fb66 | MATLAB | 828 | 25 | function zef = zef_mne_tool_start(zef)
if nargin == 0
zef = evalin('base','zef');
end
zef = zef_mne_tool_window(zef);
set(zef.h_zef_mne_tool,'Name','ZEFFIRO Interface: Minimum norm estimate tool');
set(findobj(zef.h_zef_mne_tool.Children,'-property','FontUnits'),'FontUnits','pixels')
set(findobj(zef.h_zef_mne_too... |
d225842d646234a7357d913437e2f2f6842bd387403823f09fcbd9c7dd3f139e | MATLAB | 828 | 36 | function [P,Pi] = computePandPi(Dir_alpha,Dir2d_alpha)
K = size(Dir2d_alpha,2);
if length(size(Dir2d_alpha))==3
Q = length(size(Dir2d_alpha));
else
Q = 1;
end
P = zeros(K,K,Q);
if Q==1, Pi = zeros(1,K);
else, Pi = zeros(K,Q);
end
for i = 1:Q
for j = 1:K
PsiSum = psi(sum(Dir2d_alpha(j,:,i)));
... |
8a2f6fcf65e00d3c489eb7a18c09b3ff6fccd11220dc041be646ad2555eae8e3 | MATLAB | 832 | 22 | function [dblCosSim,dblAngSim] = cossim(vec1,vec2)
%cossim Cosine similarity between to vectors (range: [-1 1])
% [dblCosSim,dblAngSim] = cossim(vec1,vec2)
%
%where the outputs are defined as:
%dblCosSim = dot(vec1,vec2)/(norm(vec1)*norm(vec2));
%dblAngSim = 1-2*acos(dblCosSim)/pi;
%
%... |
ee0fd59b83bdf40fd74da3d2a9b7f085a408ec6d9fbf7cb750506293e4fe3956 | MATLAB | 833 | 23 | function score=bsliang_getCLEARACC(m,isdim2)
if isdim2==1
% ÕâÊǵڶþ¸öά¶ÈÒ²ÇåÎúµÄËã·¨£¨¾ÍûÓеڶþά¶ÈµÄ¸ÉÈÅ£¬µ«ÊÇtrialÊýºÜÉÙ£©
dim1=logical(double(m(:,1)==1)+double(m(:,1)==5));
dim2=logical(double(m(:,4)==1)+double(m(:,4)==5));
dim=logical(dim1.*dim2);
elseif isdim2==2
... |
2ee906ae61bd299f1880e75c0abb580c5a48225447238a564cfc5d2620fe0dcc | MATLAB | 834 | 20 | function [L, measurements] = zef_lead_field_whitening_diagonal_identity(lf_bank_index)
%Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
%This function normalizes the lead field data for a given lead
%field bank entry.
%Description: Lead field whiteni... |
7a4ea3c9248038349877e6b2f63ab1c70ad7c03fa1819844c587adacaf3307e8 | MATLAB | 835 | 27 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
% These are parameters from the initialization file.
if isfield(zef_data,'matlab_release')
zef_data = rmfield(zef_data,'matlab_release');
end
if isfield(zef_data,'code_path')
zef_data = rmfi... |
eed36e602c1726e74389f963bc0696d6d3d578cf86967ed6335d3dac7cf47392 | MATLAB | 835 | 29 | function D = dirichlet_kl(alpha_q,alpha_p)
% Computes D(q||p) = | q(x)*log(q(x)/p(x)) dx
% between two k-dimensional Dirichlet probability densities, with pdf
%
% Gamma(sum_{i=1}^k alpha_i) alpha_1-1 alpha_k-1
% p(x)= --------------------------- x_1 .... x_k
% prod_{i=1}^... |
8b0fbea8535c62bd3d2406df2c4c2741081054a740030be29d89c14cb97df2b9 | MATLAB | 836 | 26 | function [P_store,z_inverse] = kalman_filter_sLORETA_EVO_DIAG_WEIGHT(m,P,A,Q,L,R, timeSteps ,number_of_frames, smoothing)
P_store = cell(0);
z_inverse = cell(0);
h = zef_waitbar(0,1, 'Filtering');
c_val = 0.05;
diag_Q = diag(Q);
for f_ind = 1: number_of_frames
zef_waitbar(f_ind,number_of_frames,h,...
['Filt... |
a2ac914fb37e489f92d87870082db533327328e985e9cab275e0f2fd082b30ed | MATLAB | 836 | 32 | function [m, P, K, D] = kf_sL_update(m,P,y,H,R)
% Resolution matrix
method = '1';
if(method == '1')
P_sqrtm = sqrtm(P);
B = H * P_sqrtm;
G = B' / (B * B' + R);
w_t = 1 ./ sqrt(sum(G.' .* B, 1))';
D = w_t .* inv(P_sqrtm);
elseif(method == '2')
[Ur,Sr,Vr] = svd(P);
Sr = diag(Sr... |
b7557218c7ceefe63d2e9ddad95381061dd43a3579140dc28f706b50b1b9fd37 | MATLAB | 836 | 22 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function zef_tile_figs(varargin)
n_tiles = 20;
h_aux = evalin('base','findall(groot, ''Type'',''figure'',''Name'',''ZEFFIRO Interface: Figure tool'')');
tile_mat = [1 : n_tiles];
tile_mat = tile_mat'*... |
e0a7ae3b42718321a8aaf4d03df141edc97650423481ac752b5a2fb1823a18b0 | MATLAB | 836 | 37 | function [Stop] = update_smbo_views(results, state, all_struct_handle, all_model_learned_handle, s_handle, p_handle)
vals = table2array(results.XTrace);
if size(vals, 1) == 1
s_vals = vals(1);
p_vals = vals(2);
else
s_vals = vals(:, 1);
p_vals = vals(:, 2);
end
us_vals = unique(s_vals);
up_vals = un... |
0ea7dd0cafa22ca1111d7ed996e3c350adbfeaa4029e007932dd19a49f1611a1 | MATLAB | 839 | 33 | function m = getMean(hmm,k)
% Get the mean activity for state k from the estimated model hmm
% This function should primarily be used when the state model is a Gaussian
% distribution (i.e. order=0)
%
% Diego Vidaurre, OHBA, University of Oxford (2016)
if hmm.train.zeromean
error('The states are not modelled by t... |
139edcdc415c7d902faa30823b7825afc4e629a37614b2f952846f365c5fe57a | MATLAB | 839 | 24 | function Segment = find_isolated_spike(data, parm)
N = numel(data.y);
isi_pre = [0; diff(sort(data.spike_time))];
isi_post = [diff(sort(data.spike_time)); 0];
ix = isi_pre > parm.MinISI & isi_post > parm.MinISI;
single_spike_time = data.spike_time(ix);
Nsegment = numel(single_spike... |
3566375e840b668e18bb51dc51d96660279dd62957ea17aea93820ad70499c3e | MATLAB | 839 | 28 | function [A] = connectivity_matrix(source_positions, K, weighted_avg)
% Connectivity matrix
%SMOOTHING_MATRIX Summary of this function goes here
% Detailed explanation goes here
% TODO: weighted avg
if nargin < 3
weighted_avg = false;
end
MdlKDT = KDTreeSearcher(source_positions);
[IDX, D] = knnsearch(MdlKDT, so... |
98a7146f571ec7287425a91b7f74639239af5cbac8c96cdfca5f28d5045403e0 | MATLAB | 839 | 30 | function idiff = vb_setdiff2(inew,iold)
% Fast calculation of set difference 'setdiff' for interger index
% idiff = vb_setdiff2(inew,iold)
% --- Input
% inew , iold : Integer index array
% --- Output
% idiff : index in 'inew' which is not included in 'iold'
%
% inew ¤ÎÍ×ÁÇ¤Ç iold ¤ÎÍ×ÁǤǤʤ¤Ãͤò idiff ¤Ë½ÐÎÏ
% inew , ... |
dff4742082ef095bce95f086aea43357dd8629f453d0612eb3a67bc5a9daac42 | MATLAB | 839 | 62 | clear all
close all
clc
addpath('./tools/')
load('./save_file/all_traj_06282022.mat')
% choose the reference trajectory
% traj_type = 'lorenz';
traj_type = 'circle';
% traj_type = 'mg17';
% traj_type = 'infty';
% traj_type = 'fermat';
% traj_type = 'astroid';
% traj_type = 'heart';
% traj_type = 'epitrochoid';
% tra... |
8e763d253621461dc6ef95d5518f71adffa56b2902cccafc0328bbbefdc3ad8d | MATLAB | 840 | 25 | number_of_points = 10;
grey_matter_ind = 15;
surface_triangles = zef_get_surface_triangles(zef.tetra,zef.sigma(:,2),grey_matter_ind);
nodes_ind_aux = unique(surface_triangles);
nodes_ind_aux = [1:floor(length(nodes_ind_aux)/(number_of_points-1)):length(nodes_ind_aux)]';
distance_vec = zeros(length(nodes_ind_aux),1);
... |
98e2173dca3e88302b811942c9277825fb37bf440458245e2be816063348f0aa | MATLAB | 840 | 48 | function [tree, newText] = zef_dataBank_sortTree(tree)
%sorts the tree with the numbers of the hashes, so that e.g. node_11>node_7
%this is needed to build the tree easily
if isstruct(tree)
text=fieldnames(tree);
else
text=properties(tree);
for i=1:length(text)
if strcmp(text{i}, 'Properties')
... |
9ff2ecfed8fa2fb5232018e7c8b3671e44ef5dd8884c18c0b1651c41a73526c2 | MATLAB | 840 | 36 | function matDiff = vec2diffmat(vecVals,sParams)
%UNTITLED3 Summary of this function goes here
% Detailed explanation goes here
%check input
if ndims(vecVals) > 2 || (size(vecVals,1) > 1 && size(vecVals,2) > 1)
error([mfilename ':NotAVector'],'Input is not a vector');
end
if ~exist('sParams','var'), sParams ... |
fde4411311ec4c2558bd6112fe7ea82ae4626606b160995ecd915c381c2721d8 | MATLAB | 843 | 37 | function [brain_ind, brain_compartments] = zef_find_active_compartment_ind(zef,domain_labels)
if nargin < 2
domain_labels = zef.domain_labels;
end
aux_compartment_ind = zeros(length(zef.compartment_tags),1);
i = 0;
for k = 1 : length(zef.compartment_tags)
on_val = zef.([zef.compartment_tags{k} '_on']);
... |
5824d167f3504cf7f8d2ec51ded7ee82e6863d2e2a9e39c2acde635abb8bbf35 | MATLAB | 844 | 27 | %get target directory
function runDesktopStateBackup
strDir = prefdir();
strBackupDir = strcat(strDir,filesep,'DesktopBackups');
if ~exist(strBackupDir,'dir')
mkdir(strBackupDir);
end
%get current files
sFiles = dir(strBackupDir);
%remove old files (>1 week old)
vecDaysAgo = datediff(getDate,{sFiles(:).da... |
18ba5e76b5fc5c7b1c8a7a5550f9a3434b6f3c1ce772a77f34db94ee25ae75a7 | MATLAB | 845 | 23 | % get the number of frames from original metadata
function numframes = metadataNFrames( metadata )
% metadata is the original metadata obtained from the vsi/ets
% bioformats import in matlab, see openETSuiProbe
key = 'External file volume'; % why this works is unimportant?
value = metadata.get(key);
% this should be a... |
c06e884f847db07ad484c310aba80761de0030b8eb2f2d81a486580c8a11ce66 | MATLAB | 847 | 16 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
function zef = zef_find_synthetic_source_legacy_window(zef)
zef_find_synthetic_source_legacy_app;
set(zef.h_find_synthetic_source_legacy,'Name','ZEFFIRO Interface: Find synthetic source');
set(findob... |
3d5da237fb719f4cd93dba89af26226d6ee12ff198fdd563d74fd5402a084968 | MATLAB | 849 | 59 | function M = zef_averaging_matrix(nodes,tetra,I)
if nargin < 3
I = [];
end
if not(isempty(I))
[F,~] = find(ismember(tetra,I));
tetra = tetra(F,:);
end
M = spalloc(size(nodes,1),size(nodes,1),0);
dist_aux = zeros(size(tetra,1),4,4);
for i = 1 : 4
for j = i + 1 : 4
dist_aux(:,i,j) = sqrt(... |
83af4149dc14d35ebb066111d3cc4025b24c3a763113a6a812b9e67797dd5684 | MATLAB | 850 | 29 | function SpectraTC = Fun_ComputeSpectraTC(Spectra, NumberOfEpochs, ...
EpochLength, TimeBin)
%% Written and updated by M. Nollet (Aug 2023)
%
% Function to be used to re-organise EEG spectrum data into time bins for
% time-course analysis
%
% INPUTS: EEG spectrum data and other variables
%
% OUTPUT: Sp... |
64eeaa08e7469cb81e0f10cebaa6f1836be5d06fe02d00b3d7d9716635c572be | MATLAB | 851 | 21 | % myobj = SetNextFileName( myobj, 'name' )
%
% If a run is in progress, set the full path and run name
% for the next file set. For example, "Y:/mydir/../myrun."
% To that, SpikeGLX appends the stream and extension, for
% example, "Y:/mydir/../myrun.imec0.ap.bin." SpikeGLX will
% not create any fold... |
dd31e6fd9ce6cdd3f47f660e57e5dac38e039e21650fe0f192e90a50f968b60e | MATLAB | 851 | 30 | % load minimum of data to allow ROI selection
function S = loadFlatStackOpt(m,field)
% m = matfile(fullpath2file);
% m is the result of a call to matfile
% not loading stack from flat file, too slow
%S.stack = single(m.stack);
S.timing = m.timing; % convert to sec
S.interval = m.interval; % co... |
b1db25bc22e7a0e5a13954017e937bd4a6c0a953ace6ebfb92725157903fbab5 | MATLAB | 854 | 26 | function vecVals = getValByIdx(matVals,matSelection)
%getMatVals Description
%
% SYNTAX
% vecVals = getMatVals(matVals,matSelection)
%
% INPUT
% matVals: data matrix
% matSelection: selection matrix of integers (same size as matVals)
%
% OUTPUT
% vecVals: vector with values corresponding to selec... |
4b8d130dcf7df6cdb3f60bbef07bc04c45da2b0ffd32fdad306cf0e5f9ad5064 | MATLAB | 855 | 10 | %Copyright © 2018- Sampsa Pursiainen & ZI Development Team
%See: https://github.com/sampsapursiainen/zeffiro_interface
zef.h_tools_aux = findall(groot, 'Type','figure','-regexp','Name','ZEFFIRO Interface:*');
zef.h_tools_aux = setdiff(zef.h_tools_aux, findall(groot, 'Type','figure','-regexp','Name','ZEFFIRO Interface: ... |
4d482edb31d504e65e635139c55bcfd05789537bbe620617b8a5e094439fb04d | MATLAB | 855 | 28 | function plot_rois_masks(app)
roi_contours = app.rois;
% don't know why this sometimes turns off but let's do it again
set_common_plot_settings(app.roi_preview);
set_no_tick(app.roi_preview);
app.roi_preview.Color = [1 1 1];
% Make Colors
C = jet(length(roi_contours.xpix));
C = flipud(C);
% Plot them (One first to ... |
bdc34bfe54f5488a9d2004215cecf9aadb4200125d1ef2caab8b85525cc7b0c1 | MATLAB | 855 | 30 | function Y = shufflewins(X,W,R)
% function Y = shufflewins(X,W,R)
% X is a waveform, which is chopped into W-point windows
% which are then hanning-windowed and 50%-overlapped. These
% windows are shuffled over a radius of R points and
% ovelap-added to construct Y, a version of X with approximately
% ... |
367d845af04e663c81b370dc9eb160cb5b59095c9570008c5d82a70357a95b0c | MATLAB | 856 | 29 | function ScoringTC = Fun_ComputeScoringTC(Scorings, NumberOfEpochs,...
EpochLength, TimeBin)
%% Written and updated by M. Nollet (Aug 2023)
%
% Function to be used to re-organise scoring data into time bins for
% time-course analysis
%
% INPUTS: scoring data and other variables
%
% OUTPUT: ScoringTC ma... |
4f2c44428c06d493aba5520959dc8e426d540e95de441f79e1d783e233eaecd6 | MATLAB | 857 | 33 | classdef Unpooling < dagnn.Filter
properties
ID = -1;
end
methods
function outputs = forward(self, inputs, params)
[outputs{1}] = vl_nnunpool(inputs{1}, inputs{2}, inputs{3});
end
function [derInputs, derParams] = backward(self, inputs, params, derOutputs)
derInputs{1} = vl_nnunpool... |
38a74183b684122cab049f692f56ac06b07254ae28a3d377844201462a2b9e28 | MATLAB | 858 | 27 | function y = pinknoise1(dim) ;
% Get same size
T = dim(1) ;
N = dim(2) ;
% Make a pink filter
[b,a] = makePinkFilter ;
% You can plot the filter response by uncommenting below:
% freqz(b,a)
% Generate some noise and filter
y = 2*rand(T,N)-1 ;
y = filter(b,a,y) ;
function [b,a] = makePin... |
32a80aeb76ab663012ff4a8aa2f3e304a0d8ba5ec25fba574568e73dadd27e14 | MATLAB | 859 | 28 | function [xNode, xEdge, eBelow] = solveQPBO(gNode, gEdge, edges)
% gEdge(2:3,:) = gEdge([3 2],:);
% Coerce edges
%if ~isa(edges, 'int32')
edges = int32(edges);
% end
%fprintf(class(gNode));
%fprintf(class(gEdge));
%fprintf(class(edges));
% Dispatch
%if... |
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