sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
6dbf017e14b4bd30594554bf6ab42bb10907e18df9f060780afb5effe46ad8a9 | MATLAB | 714 | 31 | function dRes = detect(obj)
%DETECT Detect spikes in recording
obj.res = []; % reset obj.res
obj.isDetect = 1;
% clear GPU memory and set random seeds
obj.clearMemory();
% start the parallel pool
if obj.hCfg.useParfor
obj.startParPool();
end
obj.hCfg.updateLog('detectStep'... |
ae0a3f0e78ac4c84c2fedf6ced4f818b24408412d2b57e341f9bd071a104f113 | MATLAB | 715 | 37 | % A naive implementation of Householder's 1958 algorithm for nulling
% all but one vector entry
% Ref: Householder, Alston S. "Unitary triangularization of a nonsymmetric
% matrix." Journal of the ACM (JACM) 5.4 (1958): 339-342.
%
% Reza Sameni 3/1/2019
% email: reza.sameni@gmail.com
clc;
clear;
close all;
% an arbi... |
ee41b3f168a938e3a2edfb8970502d01f9cbbc4e5878191fc1feb71fd1e0a5eb | MATLAB | 715 | 29 | function [ImB,XY] = Neuron_To_Blob(Im)
BW_Threshold = 0.5;
if(islogical(Im))
Im_BW = Im;
else
Im_BW = imbinarize(Im,BW_Threshold);
end
Im_BW = bwareafilt(Im_BW,[50,inf]);
se = strel('disk',20);
ImD1 = imdilate(Im_BW,se);
ImB = imdilate(ImD1,se); % The Blob.
ImB = imc... |
4bbb94e4a36929f9d7d17e0aecc379c73e5e905082b2b45dcf1218982cd00c6d | MATLAB | 717 | 25 | function [O, logdet] = matrix_cholesky_solve(A, B, compute_logdet)
% Decompose a symmetric, positive definite matrix A as follows L L' = A and
% use this to solve A O = B. Estimate the logarithm of the determinant as
% well.
if nargin < 2 || isempty(B); error('Please specify B'); end
if nargin < 3 || isempty(compute_l... |
5647c72f86be678c17c52b109a65e4e3defbc2d93341cdce1803c4c85727a12b | MATLAB | 717 | 22 | % Copyright 2024 Eelke Spaak, Donders Institute.
% See https://github.com/Spaak/rift-phase-and-visibility for readme/license.
% Belongs with:
% Spaak, E., Bouwkamp, F. G., & de Lange, F. P. (2024). Perceptual foundation and extension
% to phase tagging for rapid invisible frequency tagging (RIFT). Imaging Neuroscie... |
02c3d1f2c37bb6ed0d4f5a6e00bed854f04b0260002280a8e126c38d8a19db9a | MATLAB | 718 | 25 | function roi = readFiltROI(obj, rows, cols)
%READFILTROI Get a region of interest by rows/cols from the filtered file
rowPred = jrclust.utils.ismatrixnum(rows) && ~isempty(rows) ...
&& all(rows > 0) && max(rows) <= obj.dshape(1);
colPred = jrclust.utils.ismatrixnum(cols) && ~isempty(cols) ...
... |
2b2096146f3aa9875cbf8c0d8285d2d3ea9fdc7689370f9de38139d360999c0c | MATLAB | 720 | 24 | function mouseClickFigWav(obj, xyPos, clickType)
%MOUSECLICKFIGWAV Handle callbacks for mouse clicks in main view
if obj.isWorking
return;
end
iCluster = obj.showSubset(max(1, min(obj.nShown, round(xyPos(1))))); % floor of x position
if iCluster < 1 || iCluster > obj.hClust.nClusters
... |
2fe3c162a5144bccb405afdde7d1e272d407fe1138ba6dcd38762c9c3cea9d9d | MATLAB | 720 | 24 | function result = x2eqarea(x)
%X2EQUAREA Equal area projection of 3D Euclidean points
%
% result = x2eqarea(x);
% Copyright 2004-2005 Paul Leopardi for the University of New South Wales.
% $Revision 1.10 $ $Date 2005-06-01 $
% Documentation files renamed
% $Revision 1.00 $ $Date 2005-02-12 $
%
% For licensing, see COP... |
53a3747751e7d5cc36a28548fde11cb9017a003d9724950b2d62d5b171480e82 | MATLAB | 720 | 31 | function [AllTimeSeries] = extGroupTSROI(listing, StimType, GroupType)
% This program is intended to visualize mean ROI-based time series.
%
% input:
% listing:
% StimType:
% GroupType:
%
% output:
% AllTimeSeries: nSub
%
% By Hiroaki Hamada, Araya Inc., 2019/08/29th
nSub = length(listing);
sample = load(listi... |
a6cb417c97841ba3a7d6c66d1ec8c0aeb083aad0b298647f78fe3851a7abd842 | MATLAB | 720 | 28 | function [x,y,z] = VAsph2cart(Channel)
% Copyright 2009-2011 Thomas Koenig
% distributed under the terms of the GNU AFFERO General Public License
tmp = Channel(1);
if isfield(tmp,'CoordsTheta')
%if exist('Analyzer','var') % Analyzer 2
for i = 1:numel(Channel)
Theta(i) = Channel(i).CoordsTheta;
P... |
089e250e2e5d5ceda357fdfc567b78d14cd6975d7e9bdbb73b5aa19aaede92be | MATLAB | 721 | 25 | function amplsig = get_sig_ampl(sig,fs,ms_akern,expon,yes_verbose)
% function amplsig = get_sig_ampl(sig,fs,[ms_akern],[expon],[yes_verbose])
% for example:
% ms_akern = 30; % milliseconds (the default)
% expon = 2 (the default)
if nargin < 5 || isempty(yes_verbose)
yes_verbose = 0;
end
if nargin < 4 || isempty(expo... |
eafb09b642201639a2c352541c3f8d767c868aecbe19a55c7497af5e46b62e34 | MATLAB | 722 | 23 | function coords3D = convert2Dto3D(coords2D, coords2D_common, coords3D_common)
% Extract the number of points
nPoints = size(coords2D,1);
% Preallocate the 3D coordinates matrix
coords3D = zeros(nPoints,3);
% Fit a transformation from the 2D common points to the 3D common points
tform = fitgeotrans(coords2... |
f4da7b29ea4c36b43a3602c71df667406fd576b1cffee7c3d9d14d2926e7f629 | MATLAB | 722 | 25 | function [coef, arg] = nufft_coef(om, J, K, kernel)
%function [coef, arg] = nufft_coef(om, J, K, kernel)
%|
%| NUFFT interpolation coefficient vectors for a given kernel function.
%|
%| in
%| om [M 1] digital frequency omega in radians
%| J # of neighbors used per frequency location
%| K FFT size (should be >= N, th... |
56d95aaa3922cfe4ee76013d1caeb40fc0978ff6e6cbbe7301b201d0093bf7d1 | MATLAB | 723 | 21 | function y = group_vector_soft(x,tau,groups)
% "groups" is vector indicating the group stucture
% for the group-vector-soft thresholding operation
% The size of groups must be the same as x.
% Each set of elements that are mutually equal
% define a group.
% Example: if groups = [1 1 1 2 2 2 3 3 2 2 1 1 3 3],
% there ... |
6f5b6516f69422487924dc6b1db4eb251e30e63ebde72ece21f75bcc93622cca | MATLAB | 723 | 20 | %% plot right vs left form brain render table OF CLUSTERS
clear
clc
[file, path] = uigetfile('clusters_brain_render_table.csv','MultiSelect','off');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
datafile = fullfile(path, file); %save path
T = readtable... |
9053b53e427bb735f6b7d925bd9ec30ae1c5a0e15b87278c854671b6907138dc | MATLAB | 723 | 21 | function paths = Choose_Paths_Generalized(X,Y,Min_Peak_Prominence,Min_Peak_Distance,SP)
% Curve Fitting:
fitobject = fit(X,Y,'smoothingspline','SmoothingParam',SP);
xvf = linspace(min(X),max(X),1000); % Angles.
yvf = fitobject(xvf); % Scores.
[yp,xp,pw,pp] = findpeaks(yvf,xvf,'SortStr','descend','MinPeakPromin... |
a05fb5f727c129046ed9a8455199f5e1b6b1763a9ad5cc952465aab089b8907f | MATLAB | 723 | 33 | function DI=dunns(clusters_number,distM,ind)
%%%Dunn's index for clustering compactness and separation measurement
% dunns(clusters_number,distM,ind)
% clusters_number = Number of clusters
% distM = Dissimilarity matrix
% ind = Indexes for each data point aka cluster to which each data point
% belongs
i=... |
b82311e9260c81b61c2b67b9e56f77a35a04e029126013d4994dbe45a8be353e | MATLAB | 723 | 27 | function [ t_pool ] = project_trial_set_into_one_subspace(p,trials,trial_idx,q)
%% project trials into subspace
% project trials into joint subspace
t_pool = [];
for sub = 1:p.nSubjects
% project avoidance trials
if isempty(trial_idx)
if ~isempty(trials{sub})
... |
96055c6d0bbdca71905f38a1ba16ddd17515c0ef86f7699a0f8b88c73791f96d | MATLAB | 724 | 24 | function gfp=computegfp(thedata)
% computegfp: calculates the global field power of a data set
%
% inputs: data as a 2-D numeric array where dimension 1 contains the
% timeframes, dimension 2 contains the channels
%
% outputs: global field power as a 1-D numeric array that contains the
% global field power at each time... |
dad584649d73372ba8fd9f04c736e18d0f86be1b60758314daaef258eea89c70 | MATLAB | 724 | 21 | function [mBkgVals,sBkgVals,Thresh]=mnl_CalculateBackgroundValules(SampleBkgVxList,cData,Th)
%Function to calculate the background values for an image
% Inputs
% SampleBkgVxList - The list of x,y, and z points of the background
% cData - The image (x*y*c*z)
% Th - The number of Sd above the mean to use as the thr... |
eed6c00dde0cb458e02a9d1f91908c718bb446d8f2d507a307c06557bfa5159a | MATLAB | 724 | 20 | function auto_bp(app)
%auto_Bb checks if bb is already detected and runs if
%not
% Detailed explanation goes here
if isempty(app.bp_res)
if ~isnan(app.settings.channel_idx.bldp)
[data,ts,~, ~] = current_signal(app, app.settings.channel_idx.bldp);
data = lowpass(data,3,1/ts(1));
[ footIn... |
30696ff5892b1805f4fb6b83ef9faaafde0b329b6064ebf89d4a4744249560a4 | MATLAB | 725 | 24 | function Total_shuffled_spiketime = allShuffle(SpikeTime, t,surrogate)
if nargin<3 || strcmp(surrogate,''), surrogate = 5; end
Spikes = zeros(length(SpikeTime), length(t));
for n = 1:length(SpikeTime)
Spikes(n,:) = ismember(t,SpikeTime{n});
end
cell_count = size(Spikes,1);
num_images = size(Spikes,2);
Total_shuffle... |
0f89f0ad4947de492616fe852506ede0609aea7b1d402cccf875082acd0a1c4c | MATLAB | 726 | 28 | % Funtion To Deconvolve pair of Funtions
% x=d*r
% Input
% x: Signal
% r: Response Signal
% lambda: Sparse Parameter
% Output
% d: Driver Signal
% x_est: Estimated Sparse Signal
% MSEE: Mean Squared Error
function [d,x_est,MSEE]=magic_sparse_deconvolution(x,r,lambda)
L... |
206230bbdee1702d32c62e452db21ea5a43ad9e18d74b7198a1c6ff1be9dae7f | MATLAB | 726 | 27 | function [Pvalues_cope] = COPEComp(COPE1,COPE2, ROInames)
% This program is intended to extract constrast of parameter estimate and comparison between two contrasts.
%
% input:
% COPE1: contrast datasets1
% COPE2: contrast datasets2
% ROInames: a list of name of ROI list.
%
% output:
% Pvalues_cope: comparison between... |
3e91df990827a3b996b3936c53ec687e5ab066f603c8b10bf12b7e26d0d97789 | MATLAB | 727 | 17 | function siteThresh = computeThreshold(obj, samplesIn)
%COMPUTETHRESHOLD Compute sitewise threshold for samplesIn
maxSample = 1e5;
try
samplesIn = jrclust.utils.tryGpuArray(samplesIn, obj.hCfg.useGPU);
siteThresh = jrclust.utils.estimateRMS(samplesIn, maxSample)*obj.hCfg.qqFactor;
[... |
4181dc50fb66ce2ee6aeeecb929913bf25e86cc9f4685b06cfd77e0137dd7c82 | MATLAB | 727 | 22 | function y = group_vector_soft(x,tau,groups)
% "groups" is vector indicating the group stucture
% for the group-vector-soft thresholding operation
% The size of groups must be the same as x.
% Each set of elements that are mutually equal
% define a group.
% Example: if groups = [1 1 1 2 2 2 3 3 2 2 1 1 3 3],
% there ... |
77b9e330987e897fca8c3fac62fd655400b6b9cfe990b4fcbb6d160da0240a5b | MATLAB | 727 | 23 | function Vertices = Match_CB_Vertices(Vertices,CB_Vertices)
for i=1:numel(CB_Vertices)
Vxy = [Vertices.Coordinate];
Vx = Vxy(1:2:end-1);
Vy = Vxy(2:2:end);
D = ((Vx-CB_Vertices(i).Coordinate(1)).^2 + (Vy-CB_Vertices(i).Coordinate(2)).^2).^.5; % Distances of vertices from the i-th CB branch outset.
... |
efcba49ed2fe7458cb91fcca04d905c4745e8564a4afab208ac6c46fe8656d39 | MATLAB | 727 | 36 | function Pattern=PegPattrn(fname)
Name=fname(end-7:end-4);
if strcmp(Name,'A___');
Pattern=1;
elseif strcmp(Name,'B___');
Pattern=2;
elseif strcmp(Name,'98__');
Pattern=3;
elseif strcmp(Name,'89__');
Pattern=4;
elseif strcmp(Name,'Agra');
Pattern=5;
elseif strcmp(Name,'Bgra');
P... |
8d563230e6aaefb22112b970d03d8217772bfcabbe9505c0112ff06b2ffcca5f | MATLAB | 728 | 25 | function [rho, mov_rho, sd1, sd2, rr] = sqi_hr_dynamics(peak_indexes, fs, wlen)
rr = diff(peak_indexes)./fs;
wlen_half = round(wlen/2);
% baseline = movmedian(rr, [wlen_half, wlen_half]);
% rr_move_removed = rr - baseline;
%
% figure
% plot(rr);
% hold on
% plot(baseline);
% grid
rr_move_removed = rr ... |
2118c012ca2ddb820b4d492d48ea4e25489aabb80c928cd060fdb033b4e5e7fd | MATLAB | 729 | 31 | function ypr = my_preemph(y,yes_preemph)
[leny,yes_rowvec] = get_len_yvec(y);
ypr = y;
if yes_preemph
sign_preemph = sign(yes_preemph);
preemph_coff = abs(yes_preemph);
n_complete_stages = floor(preemph_coff);
final_preemph_coff = preemph_coff - n_complete_stages;
stage_preemph_coff = 0.99;
for istage = 1... |
34b47501407cc2c5848fb253c61cce6116a93cca59586eb29dcdc8a6924ba59d | MATLAB | 730 | 27 | %LFP STATSITICS
clc
clear
%% load all files
[file, path] = uigetfile('*.mat','MultiSelect','on');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
datafile = fullfile(path, file); %save path
%%
%in case of selcting only one file
if ~iscell(datafile)
da... |
904e2b685a66648da95ac1395811b5cadcf6863cfb622d41450b8ed6d6e8677e | MATLAB | 730 | 43 | %Function to relabel simulation results for easier comparison
function [st_out, map] = relabel_results2(map_states, true_states)
%%
k = max(max(true_states));
N = max(size(map_states));
frob_dist = zeros(k,k);
map = zeros(k,1);
for i = 1:k
for j = 1:k
matched = (map_states==i) & (true_states==j);
... |
add7609ddc17582a88d3cd53c2d6070fb7821942f95b4ad71a00af51303a3aa2 | MATLAB | 730 | 16 | clc
clear
InputPicBG = 'E:\MuliImageSS_ResNet50_SeriesClass_ResAttention\*.png';% 背景原图的存放位置里的tif文件
InputPicPath = 'E:\MuliImageSS_ResNet50_SeriesClass_ResAttention\';% 背景原图的存放位置
FilePic=dir(InputPicBG);% 找到文件夹中符合要求的图片
Input_Pic=cell(1,length(FilePic));
Dis_statistics = cell(length(FilePic),2);
for i=1:length(Fil... |
4565541690f4936095470f8b974ea41acd94042cf24b1e206f3d77dd3195da93 | MATLAB | 731 | 41 | clc
clear
close all
%%
load('Normal_Image.mat');
Im_Origin = images(:,:,4612);
Im = Im_Origin;
%%
Im_Sensor = MCA_Sensor(Im);
%%
Im = imrotate(Im,270);
figure;
subplot(121);
imagesc(Im);
colorbar ('Ticks', []);colormap jet;
ax=gca
ax.XAxis.Visible='off';
ax.YAxis.Visible='off';
subplot(122);
imagesc(Im_Sensor);
colorba... |
c183add57e31ff5572574f38a3488afbd7dcf8f856620833aec0c6fffe2ed0f5 | MATLAB | 731 | 25 | %% Doing Gaussian blur to inputs: L6, lgn, etc...
% For new version of network for paper2
% Input: OD_SMap (n_S_HC * N_HC)^2 matrix, representing the spatial ord dom
% L6S_Drive: Input to each domain
% FiltSig: Spatial sigma, should be proportional to mat size
% FigOn: boolean, export a figure or n... |
c0540201f30a0eadf53d070d357c2570b18e41ef707837068356fba6163be992 | MATLAB | 732 | 28 | classdef FourierEmbeddingLayer < nnet.layer.Layer % ...
properties
numFourierComponents
end
properties (Learnable)
end
methods
function obj = FourierEmbeddingLayer(numFourierComponents)
obj.numFourierComponents = numFourierComponents;
end
function [Z ... |
87e98c4e119c42d18255507fe828f41fcae24edbc5ca7884964b0e5eff478297 | MATLAB | 733 | 27 | function auto_derived(app)
%AUTO_DERIVED Summary of this function goes here
% Detailed explanation goes here
if ~isempty(app.data)
if isempty(app.burst_ints)
[~, idx] = max(vertcat(app.data.tic_multipl));
[~,ts,~, ~] = current_signal(app, idx);
bords = [ts(1), ts(2)-ts(1)];
app.bu... |
8fa286d3630e384f058e8664dde8da19b16428d9a244dbb896263b2812216834 | MATLAB | 733 | 25 | clear
clc
%%
%save only Intensity encoding + IR
[file, path] = uigetfile('*.mat','MultiSelect','on');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
datafile = fullfile(path, file); %save path
%%
to_delete = 'corpus callosum'; %delete corpus coloosum cel... |
3a50423229d9bbdf3e7984c93c5062b0e80d1bb84286b6ba2a57d7f07eb49d2f | MATLAB | 734 | 38 | %This is a function to generate a random sequence of states
function[state_seq] = gen_seq(N, num_states, avg_run)
%%
%%%%%Inputs:
%N (integer): Length of the time series to be returned
%num_states (integer): Number of total states to be considered
%avg_run (integer) : Average run of consecutives state selection.
%%%%... |
867fe190fb9f65a173092abdbc7c98bb57f2f6b19b40e6d3bf6b035fd44a9513 | MATLAB | 735 | 33 | function [h,rval,pval] = plotLinearFitWithCorr(X,Y,varargin)
if size(X,2) > 1
X = X';
end
if size(Y,2) > 1
Y = Y';
end
vIdx = ~any(isnan(X),2) & ~any(isnan(Y),2);
X = X(vIdx); Y = Y(vIdx);
h = plot(X,Y,'.');
xlim([min(X),max(X)]); ylim([min(Y), max(Y)]);
axis square;
xlabel(inputname(1));
ylabel(inputname(2));
... |
7fb96f78c72a1e1582e8f65df3f09fa8fc00d6368e17c03a2cd622c8162d7a2a | MATLAB | 736 | 24 | function TrialData = chop_trials(Data, SampleRate, TriggerLatencies, Window)
% chop up Data into trials, based on TriggerLatencies, centering Windows to
% cut out. Window is in seconds.
% Data is a ch x t matrix
TriggerLatencies(isnan(TriggerLatencies)) = [];
ChannelCount = size(Data, 1);
Starts = round(TriggerLat... |
97850990296662be76968e49a29dcccb80d334fa2b800a5dd2daf0fc218ef9bd | MATLAB | 736 | 21 | function prVecs = getPVSamples(samplesIn)
%GETPVSAMPLES Get top 3 principal vectors for spike waveforms
% samplesIn is nSamples x nSpikes
MAX_SAMPLE = 10000;
% select at most MAX_SAMPLE spikes to estimate the covariance matrix
samplesIn = jrclust.utils.subsample(samplesIn, MAX_SAMPLE, 2);
sam... |
0a801b9392b97a799b714c7dd65333405f8aa6c0ee94d9528e78d7bd198c25dd | MATLAB | 737 | 31 | function y = fatrix2_maskit(mask, x)
%|function y = fatrix2_maskit(mask, x)
%|
%| Apply mask to x (replicating if needed via bsxfun).
%| If mask is empty, then y := x.
%|
%| Used as part of many "back" (adjoint) methods to comply with fatrix2
%| requirement that "back" method apply the mask.
if nargin < 2, help(mfil... |
0e83b12a6021985ba8956a120b74c16511a61f885f1abf6eafa74b16d56c783d | MATLAB | 737 | 30 | % Retrieve Single Directory
% Input: number; output: sufix for:
% 1: Processed
% 2: Resume
% 3: Raster Features
% 4: Ensembles Features
% 5: Signal Features Tables
% 6: NetworksCSVs
% 7: Experimental Dataset
function DirectorySufix=DirectorySelector(numDir)
DirectorySufix=pwd;
Load_Default_Directories;
switch numDir
... |
55c10b942a8803c401c075cb654e2a8bd54e822434cc0a122e3e944fc039cd38 | MATLAB | 737 | 17 | function [artifacts] = get_bad_segments(data_mat,thresh_val)
Ntrials = size(data_mat,3);
std_data_mat = squeeze(std(data_mat,[],2));
std_data_mat_cent = std_data_mat - repmat(mean(std_data_mat,2),1,size(std_data_mat,2));
std_trials = std(std_data_mat_cent,[],2);
threestd_trials_mat = repmat(thresh_val.*std_trials,1,siz... |
1c9ede57aca61d14873efc5fd36364f59adda85cec3b8c5fb27fa7f16bc662b4 | MATLAB | 738 | 26 | function h = bluered(m)
%HOT Black-red-yellow-white color map.
% HOT(M) returns an M-by-3 matrix containing a "hot" colormap.
% HOT, by itself, is the same length as the current colormap.
%
% For example, to reset the colormap of the current figure:
%
% colormap(hot)
%
% See also HSV, GRAY, PINK,... |
af28daedc7f094c52a4a8ed2da81037fa3e1913271fab083ba8c7dd6279d106b | MATLAB | 738 | 17 | function Output_Vector = Convert_Range(Input_Vector,Input_Range,Output_Range);
% Demo - Assigin a color to each value in the range [0,1] using a 64-color colormap,
% and a maximum value of 0.9:
% Input_Vector = rand(1,10);
% ColorMap1 = jet;
% for i=1:length(Input_Vector)
% Output_Vector = Convert_Range(In... |
b18cac663585c68952432dc9aefd823b0fc1fd0564a70e46ab3c8a580faa918b | MATLAB | 738 | 28 | function [pathname] = uigetdir(start_path, dialog_title)
% Pick a directory with the Java widgets instead of uigetdir
import javax.swing.JFileChooser;
if nargin == 0 || isempty(start_path)
start_path = pwd;
end
jchooser = javaObjectEDT('javax.swing.JFileChooser', start_path);
jchooser.setFileSelectionMode(JFile... |
c30b2eaa8bb845f592c94af0ffcfc3cf71711cf7c17caaff298ce1f5d3c71270 | MATLAB | 738 | 25 | % Finder Spiker for Calcium Imaging
% Initial interface to select
% - Multiple-Condition Experiment
% - - Detect Spikes from original .AVI videos and
% - - List of Coordinates (ImPatch) or
% - - ROI coordinates (ImageJ)
% - Single-Condition Experiment
% - - Detect Spikes from Fluorescence Traces (.CSV)
%% S... |
12f2cee9d0c032a55a4bd5f7e0a5dcf9f48fa95b19f9c6ea858251a853cc5fba | MATLAB | 741 | 31 | function plot_s_knl_stm(session, channel, unit, fold, prb)
% Plot stimulus kernel of specific s-model for given probe
%
% Parameters
% ----------
%
% - fold: integer scalar
% Fold number
% - prb: 2-by-1 integer vector
% [x, y] postion of a probe
if nargin < 5
plot_s_knl_stm_all_prbs(session, channel, unit, fol... |
e194a7967e11f0862c51220bf8f5c91968a3c53713ad53d188790a384d8dc689 | MATLAB | 742 | 18 | function [WaterOn_percent]=Water_percentage(WaterOnArray,WaterOffArray,StartTime,FinishTime)
% global WaterOnArray WaterOffArray StartTime FinishTime
if StartTime>0;TotalTime=FinishTime-StartTime;
else StartTime=0;TotalTime=FinishTime;end
% disp(['StartTime=' int2str(StartTime)]);
% disp(['TotalTime=' int2str(... |
61429e18af32110aaff2914f16696f92e67434da1562b578f56d2793a11f61c0 | MATLAB | 744 | 35 | function stim = code2stim(stimcode)
% Convert stimcode to stim
%
% Parameters
% ----------
% - stimcode: integer matrix(trial, time)
% Coded stimuli
%
% Returns
% -------
% - stim: boolean array(trial, width, height, time)
% Stimulus
info = get_info();
width = in... |
ffa93140a171a26a4e854fd03db2b15f8a93779f751fe77e2a8e618138e55b10 | MATLAB | 745 | 23 | function removeEmptyClusters(obj)
%REMOVEEMPTYCLUSTERS Find and remove empty clusters
keepClusters = obj.unitCount > 0;
if all(keepClusters)
return;
end
% subset all fields indexed by cluster
obj.subsetFields(keepClusters);
if min(obj.spikeClusters) < 1 % noise or garbage clusters
... |
42e25fc949cb8c632a3c42fde3f7ac399ba7ec70da46092cc7ae45571151f542 | MATLAB | 746 | 29 | function fwrite3(fid, val)
%
% fwrite3.m
%
% Original Author: Bruce Fischl
%
% Copyright © 2011 The General Hospital Corporation (Boston, MA) "MGH"
%
% Terms and conditions for use, reproduction, distribution and contribution
% are found in the 'FreeSurfer Software License Agreement' contained
% in the file 'LICENSE'... |
633b76389eb5e5267e7459bb0787904f84c95e653e5fb558a3b5f8ac58f8af9c | MATLAB | 746 | 21 | function [info,smap,map]=map_helper(x1,y1,frB,dmap)
N=size(frB,2);
% dmap=2;
xbins=0:dmap:70; xbins(1) = [];
[X,Y]=meshgrid(round(xbins/dmap));
% x1r=round(x1/dmap);
% y1r=round(y1/dmap);
x1r=ceil(x1/dmap); %Xiang uses ceil
y1r=ceil(y1/dmap);
gw=1;
occ=cell2mat(arrayfun(@(z) sum((x1r==X(z) & y1r==Y(z))),1:numel(X),'U... |
9e0fe49d0a4ae5d7a42db3e246ff6b9bdad45b998633e146868360f2b7a91848 | MATLAB | 746 | 23 | function F = D2LorentianFunction(x,xdata)
% F = x(1)*pi*(1/2*x(3)./((xdata(1,:,1).^2 -x(2)).^2 + (1/2*x(3))^2))+x(6);
% F = x(1)*pi/2*(x(3)+x(5))/2*(1/2*x(3)./((xdata(:,:,1)-x(2)).^2 + (1/2*x(3))^2))...
% .*(1/2*x(5)./((xdata(:,:,2)-x(4)).^2 + (1/2*x(5))^2))+x(6);
F = x(1)*(x(3)*x(5))/4*(1/2*x(3)./((xdata... |
8b449999570f6c8e33535226a6c5fccd0407a54a004e1837bd9bf5341c62836b | MATLAB | 748 | 20 | function Backprojection = backwardProjectACC(psf,projection)
%% Backprojection from 2D projetion to 3D volume (using CPU)
%% Input:
% @psf: the phase space PSF
% @projection: the projection obtained from "forward project".
%% Output:
% Backprojection: estimate volume
%
% [1] JIAMIN WU, ZHI LU and DONG JIANG etc... |
d5535401d84b854fc762f3202c6adbb2d94dc430d7c3be0c5f1b240774d4e9d1 | MATLAB | 748 | 29 | classdef file_read_options < handle
%
% Class:
% adi.file_read_options
%
% Contains reading options. Currently this is for all file formats.
properties %All file formats:
%adi.file
remove_empty_channels = true; %If true, channels without data for
%all records are... |
543ce40dc4371c64060ef06850a2235ff412fa860a61c79aeef588acae78c99b | MATLAB | 750 | 32 | function [sig,mixedsig]=demosig();
%
% function [sig,mixedsig]=demosig();
%
% Returns artificially generated test signals, sig, and mixed
% signals, mixedsig. Signals are row vectors of
% matrices. Input mixedsig to FastICA to see how it works.
% 2 Apr 1998 Aapo Hyvärinen
%create source signals (independen... |
d6d0e90f775c090ab4c6d2a5c1e1363e445745b5329989bbb36e5ce98bb67fd2 | MATLAB | 751 | 35 | function test_all_nufft
%function test_all_nufft
%|
%| Test all NUFFT routines, including private ones.
%| This must be a function, not a script, to call private functions,
%| although 2016b on a Mac seems to allow call to private from a script.
% test private routines - must be called from this script
try
nufft_T t... |
22db54a2dd08bbc2534a892103c0f2f76ec783553f381efc6d77c0ba23aebfde | MATLAB | 755 | 22 | function updateHistMenu(obj)
%UPDATEHISTMENU Update the history menu
if obj.hasMenu('HistMenu')
hClust = obj.hClust;
hHistMenu = obj.hMenus('HistMenu');
endAt = hClust.nEdits;
startAt = max(0, endAt - 4); % show at most 5 (most recent) entries in hist menu
delete(hHistM... |
4d92b5bd54bf6f8ae7c4645b3da24ef5c3fc25a1c321e3fc1cf50607a19d7b48 | MATLAB | 756 | 38 | % Create a new one
sp = mbsSpectrum;
fname = 'M:\prj\MRS_for_gosia\MR-SE017-laser_te45_ref-TC-30\MR-ST002-SE017-0001.dcm';
sp = readSiemens(sp, fname);
plotSpec(sp);
figure(4)
plotFid(sp);
% Modifying
sp_phased = aph0(sp);
figure(2)
plotSpec(sp_phased);
% Chaining togehter
figure(3)
plotSpec(lineBroa... |
cc46cbb2ad1e3dc37063f6049d965e20a0b40567541a4acbd88bce5f9d17db8f | MATLAB | 756 | 23 | function [layers, loss] = initder(layers, params, y)
n = numel(layers);
assert(strcmp(layers{n}.function, 'sigm') || strcmp(layers{n}.function, 'soft'), ...
'The last layer function must be either "soft" or "sigm"');
batchsize = size(y, 1); % number of examples in the minibatch
if (strcmp(params.lossfun, 'logreg')... |
de3d81493a903c1da856425e16edb48dc0cf5ca368a09211cf866b91a58f52df | MATLAB | 757 | 27 | function pseudo_region = pseudo_region_for_diam(region)
%PSEUDO_REGION_FOR_DIAM Two points which maximize the vertex diameter of a region
%
% pseudo_region = pseudo_region_for_diam(region)
% Copyright 2004-2005 Paul Leopardi for the University of New South Wales.
% $Revision 1.10 $ $Date 2005-06-01 $
% Documentation f... |
a1957ee911a3c0ca168fd81321ad2a1f495d25b45f54d578d47a2cc201216c02 | MATLAB | 758 | 26 | %% PCA analysis script written by Laura Ylä-Outinen
%Data organisation
X1=readtable('PCA_table.xlsx');
X1(1:36,1)=table({'hPSC_20517_MEA1and2'}); %merging MEA1 and MEA2 data as belonging to the same experiment
X2=X1(:,4:end);
X3=table2array(X2);
Xstandard=zscore(X3);
expressions=Xstandard;
%% subtipes selection
subt... |
b46350b4fede0c29274284cb47f5fa13e976428286ac3c058b56485ead5f31df | MATLAB | 758 | 24 | function String = disp_stats_descriptive(Data, String, Unit, Roundedness)
% String = disp_stats_descriptive(Data, String, Unit, Roundedness)
% Roundedness is precision of numbers ('%.0f')
% Data is P x 1 matrix.
if isnumeric(Roundedness)
Roundedness = ['%.', num2str(Roundedness), 'f'];
end
IQ = quantile(Data, [.2... |
49f2026b8719d24aae9cdb22c23f59ba232105f837fd20b994d80b857e834b36 | MATLAB | 759 | 28 | classdef FourierEmbeddingLayerExponential < nnet.layer.Layer % ...
properties
numFourierComponents
end
properties (Learnable)
end
methods
function obj = FourierEmbeddingLayerExponential(numFourierComponents)
obj.numFourierComponents = numFourierComponents;
end
... |
d6b8ecdcea750e1401fde3eacb3ef2b2665a28b6d86119beac1f411d265fd352 | MATLAB | 759 | 22 | % for each participant, plots the burst criteria used to evaluate bursts,
% to determine if any of them are redundant
Parameters = analysisParameters();
Paths = Parameters.Paths;
Task = Parameters.Task;
Participants = Parameters.Participants;
Sessions = Parameters.Sessions.LAT;
Sessions = {'Session2Beam1'};
Source_Bu... |
cd552076b7bf6e7f44aed246a5d8f32f1975badd74560baae0a61c4f7bc3e553 | MATLAB | 760 | 35 | function createFolderStructure(p)
miniDir = fullfile(p.rootDir,'miniscope');
mkdir(miniDir)
currDir = pwd;
cd(miniDir)
for i = 1:length(p.subjects)
dirName = ['subject' num2str(p.subjects(i))];
mkdir(dirName)
cd(dirName)
for j = 1:p.nSessions
dirName = [... |
829a596e25039c70c7c628f4227e9a0b2b24ddf91df117102a2d3c3f298934cb | MATLAB | 761 | 24 | function prediction_cleaned = remove_edges_not_in_gs(prediction,G)
%% prediction is the three column edge list
%% G is the gold graph with {1, -1} positive, negative
%% remove predictions that are not in the gold standard
prediction_cleaned = ones(size(prediction,1),3)*NaN;
regulators = unique(prediction(:,1));
target... |
0f846262dc5471fc99dec7c8fa5de8a39b23306fc79e731655a66283f2f8d05a | MATLAB | 762 | 20 | % load n-NRF magnitude data for Exeter
both_sites_magnitudes = readtable('both_sites_magnitudes.csv');
both_sites_magnitudes_hyp1 = both_sites_magnitudes(both_sites_magnitudes.hypothesis1_include == 1, :);
%% Exeter
exeter_magnitudes_hyp1 = both_sites_magnitudes_hyp1(both_sites_magnitudes_hyp1.Site == "Exeter",:);
exe... |
afba87fa93f7eaea36c41edd1dff40a7ca5eab3400682160ac64775e490aa67d | MATLAB | 763 | 12 | disp('select brain region folder about combined files');
Folder_region = uigetdir('E:\Wang_combined files\mat\');
for no_lick = 1:42
decode_liquid_type_singlemouse
if contains(session_str,'wq')
save(strcat('E:\Wang_decoding_matrices\',region_str,'_quinine_accuracy_average\trial',num2str(no_lick,'%0... |
58dd0e4611648dd3f7765fc8666f5febb3e0c9c15754c13598c77c157edc0035 | MATLAB | 764 | 20 | function xout = ModifiedVanDerPol(x)
% An implementation of the modified van Der Pol equation
w0 = 1;
alpha = .75;
a = .1;
b = .5;
c = .9;
% % % xout = [0 1 ; -w0^2 -2*alpha]*x(:);
% % % xout = [0 1 ; -w0^2 -2*(x(1)^2-1)*(x(1)^2-3)*(x(1)^2-5)]*x(:);
% % % xout = [0 1 ; -w0^2 -2*alpha*(x(1)^2-1)]*x(:);
% %... |
a8505e00262ff0dd0688ffe6a4f3c9948a3867dd050e0483e879198c6a8965fe | MATLAB | 764 | 27 | function edit_regressor_table(app,action,varargin)
table_data = app.tbl_regressor.Data;
if ~isempty(varargin)
tbl_beta = varargin{1};
end
switch action
case 'add'
idx = find(strcmp(app.popup_regressor.Value, table_data));
if isempty(idx)
table_data{end+1,1} = app.popup_regressor.Val... |
acfeeddd67552ccf1d024515353ab50be342674f169eaddf45981e99dffc26a1 | MATLAB | 764 | 28 | function [Include]=mnl_CheckBrightnessOfBead(Im,th)
szI=size(Im);
for c=1:szI(3)
tempChan(:,:,:)=Im(:,:,c,:);
t=isnan(tempChan);
if sum(tempChan(:))==0 %if it is all zeros
Chk(c)=1;
elseif sum(t)>=1 %If there are NaNs
Chk(c)=1;
else
%Because the image size may be big, m... |
321182310f1280da19bfe814873cfc12309e7adb3f434c6cf6e295eab35060e8 | MATLAB | 765 | 37 | function [COPE] = extCOPE(ContrastList,ROIlist)
% This program is intended to extract COPE.
%
% input:
% ContrastList:
% ROIlist:
%
% output:
% COPE: nSub x nROI
%
%
% by Hiroaki Hamada, Araya Inc., 2019/Oct/21st
% check No. Subjects
nSub = length(ContrastList);
% check No. ROIs
nROI = length(ROIlist);
COPE = ... |
6218cc0ece60340e6249ef0ef134c5fb692a2c73834cdc3dfb627d223c633eb2 | MATLAB | 766 | 37 | function cout = get_all_correlation(conc)
if iscell(conc)
for k=1:length(conc)
cout{k} = get_all_correlation(conc{k});
end
return
end
for npool = 1:length(conc)
aan = getfield(conc(npool),'met');
aa = getfield(conc(npool),'cormat');
for nm=1:length(aan)
... |
cfbe017979615383ece6c62ee56b2f4ad39b72897695c3ef4204691c7efccb59 | MATLAB | 766 | 40 | function Eye = check_eye_dataquality(Eyes, DQ, ConfidenceThreshold, TaskTime)
arguments
Eyes
DQ
ConfidenceThreshold = 0.5;
TaskTime = ones(size(1, Eyes));
end
% checks that the data quality for the chosen eye meets acceptable criteria
% returns a blank if it's not ok
% if no chosen eye, quit right now
... |
03b6ded4e0b3f90d81a13807cfb8ec7e041a2556f03675289ec656ef65b436ff | MATLAB | 767 | 20 | Dir1 = uigetdir; % Let the user choose a directory.
Files_List = dir(Dir1); % List of files names.
Files_List(find([Files_List.isdir])) = [];
i = 4;
for d=1:numel(Files_List)
F1 = strfind(Files_List(d).name,'Source');
F2 = strfind(Files_List(d).name,'Annotated');
if(length(F1))
New_Name = [num2str(i... |
905d6b11419f271ad3582bd8e3a6dce1b74d22e9e181f68d337974f8283f9e97 | MATLAB | 768 | 26 | % Count if labels were missclassified in N models
% Input
% Ymany: Predicted Labels Matrix, size=Nobservation x Nmodels
% Y: Ground Truth Labels
% Output
% Yclass: Vector with well-classified in ALL models
% ClassRate: Rate of well classified
function [Yclass,ClassRate]=getrightclass(Ymany,... |
c35520147321018da8ac2b87cc880ed247c7551a8dd3c04299403c0f77486ff7 | MATLAB | 768 | 22 | function distributions(h,data,index)
%% Draw distributions of energy mean and volume mean in line plot
% autocorrelatemap() and crosscorrelatemaps() depend on this function.
%
% ind: indices of targets that will be counted
if isempty(index)
data = [data.energy data.volume];
else
data = [data.energy(i... |
3d360999d1f0020670726c6ef286dbc3fc93065ac87e88d4de795514922ade38 | MATLAB | 769 | 30 | function saveStruct(S, filename) %#ok<INUSL>
%SAVESTRUCT Save a struct to file in a robust way
nRetries = 3;
verYear = version('-release');
verYear = str2double(verYear(1:end-1));
if verYear >= 2017
for iRetry = 1:nRetries
try
save(filename, '-struct', 'S', '-v7.... |
d8a9ca48f46bb4ede82b481670d8965cb2c02f3950759bcf928715726f1dff28 | MATLAB | 769 | 28 | function [success, errmsg] = openFiltForWriting(obj)
%OPENFILTFORWRITING Open filtered file for writing
success = 0;
errmsg = '';
% first check we're not already open
if obj.filteredFid > 2
success = 1;
return;
end
% next check we have the free space
freeSpace = java.io... |
e5e17e2f20efc23144ea3e3a04d1269879fc2e0b768f9bfc70c3523cce659f8e | MATLAB | 769 | 25 | close all
%% Select the correct folder
load bza.mat
load hex.mat
load LN_hex.mat
load LN_bza.mat
%%
fs = 15000; %sampling rate (Hz)
name = LN_bza; % CHANGE THE NAME TO A FILE YOU WANT TO PLOT
duration =40;
%%
figure(1)
for i=1:16
time = 1/fs:1/fs:duration; %define time from 0 to 40s
windows = f... |
ef1eabcf22c06baf5faea004c4912872b6b32b3c632eee41b9ff7317cb4e6c0c | MATLAB | 769 | 24 | function xf_detect = spike_detection_filter(x, par)
%this function filter the signal, using the detection filter. Is used in the
%readInData class.
sr = par.sr;
fmin_detect = par.detect_fmin;
fmax_detect = par.detect_fmax;
% HIGH-PASS FILTER OF THE DATA
if par.detect_order>0
if exist('ellip','file') ... |
f5a3fdb376405513d8d3fa9a633c3c6dd2bd6dbc1a396ef08a4d320952aa27e3 | MATLAB | 772 | 26 | function [ output_args ] = extractSignals( p, moviePath,saveDir )
%EXTRACTSIGNALS
% load and crop movie
movie = loadMovie(moviePath);
zeroMask = squeeze(max(movie == 0,[],3));
[N, S, W, E] = getCropCoords(zeroMask);
movie = movie(N:S,W:E,:);
disp(['cropCoords are ' num2str(N) ' ' num2str(S) ... |
a5a1268ad62b8962628b705afaeb9734e0efba5a54d3fc4f3c5f04949d7615a5 | MATLAB | 775 | 32 | function cm = get_cmap(limits, discrete)
cm.cm = flipud(colormap(gca, 'pink'));
if nargin == 0
return;
end
mn = min(min(limits));
mx = max(max(limits));
cm.lims = [mn mx];
if mn < 0 % Bipolar
tmp = max([abs(mn) abs(mx)]);
mn = -tmp; mx = tmp;
cm.lims = [mn mx];
cm.cm = cm.cm(1:41,:);
cm.... |
0e37cb6d3dcf7346ca774a458388d5b05d2ebc5248e037bebcb73d8886adcf51 | MATLAB | 776 | 28 | function out = tukeyfilt3d(data,kc,w,isRadial)
% function W = tukey(n,kc,w,isRadial)
%
% Tukey windowing function, as described on p496 of Bernstein2004
if nargin < 4, isRadial = 0; end
if nargin < 3, w = 0.15; end
if nargin < 2, kc = 0.85; end
nx = size(data,1); ny = size(data,2); nz = size(data,3);
sz = size(data)... |
9d285521ef6cff728dd4a50078baf94bfcf9c92c6b0821d839e25382e9961855 | MATLAB | 776 | 21 | function Bursts = assign_band_label(Bursts, Bands, NewFieldname)
% given specific bands, assign each burst to that band based on the mean
% cycle frequency. Bands is a struct, with each field indicating the name
% of the band, and assigned a 1 x 2 array with the edges of the band.
BandLabels = fieldnames(Bands);
Burst... |
a197967b2bb12a933aba799cd17386182296141214c329f89ce66306ba414b8d | MATLAB | 776 | 38 | % test IIR notch filter in C++ and in Matlab
clear;
close all;
x = load('testinput.txt')';
y = load('testoutput.txt')';
hparams = fopen('notchfilterparams.txt','r');
params = fscanf(hparams,'%g');
f0 = params(1);
fc = params(2);
fs = params(3);
fclose(hparams);
[b,a] = iirnotch(f0/(fs/2),fc/(fs/2));
... |
c42716701ac45a651ba91d028fbc5d5c1f07f6e250e8019c3b20fe4dc759b86a | MATLAB | 776 | 19 | % Authors : Tatjana Schmitt & Simon Wadle 2019-2023
%function reads tiff stacks and scales pixels down to end size
function image = tiff_stack_import2(tiff_fullpath, file_cnt, num_of_files)
info = imfinfo(tiff_fullpath);
stack_size = size(info,1);
rows = info(1).Height;
columns = info(1).Width;
% preallocate... |
fa7b52e388e38f8a69bacb668527b99c2a3322d2b41d784c1c1d944c13c2e8ad | MATLAB | 776 | 27 | function coords3D = convert2Dto3D(coords2D, coords2D_common, coords3D_common)
% Extract the number of points
nPoints = size(coords2D,1);
% Preallocate the 3D coordinates matrix
coords3D = zeros(nPoints,3);
% Solve for the transformation equations using the 2D and 3D common points
A = [coords2D_common ones... |
d5026a305d4e6fb273f689ca0379c3d8973cb2079221f9e4743bd46b1867b4b6 | MATLAB | 777 | 33 | % load aligned cell maps and quantify MSE
clear
p = params_2DAA;
%% load maps
for sub = 1:p.nSubjects
for ses = 1:p.nSessions
thisSub = p.subjects(sub);
fpath = fullfile(p.rootDir,'miniscope', ['subject' num2str(thisSub)],['session' num2str(ses)],'extracted','cellMap.mat');
load(fpath)
... |
dd8b0555bc4d6a5db6671dea272eb36f769933da1721aabaac36b284ae5c67c3 | MATLAB | 777 | 30 | function newlist = addprefixtofilenames(filelist,prefix)
% filelist must be a cell array where each element is a char-array
% containing a list of file names.
nocell=0;
if ~iscell(filelist)
filelist={filelist};
nocell=1;
end
newlist=cell(1,length(filelist));
for i=1:length(filelist)
wfiles... |
550aaa0ef44109137c8287c6073aa4afce99ab30b789f69440b8d844762813c4 | MATLAB | 778 | 19 | function ln=localnormalize(IM,sigma1,sigma2)
%LOCALNORMALIZE A local normalization algorithm that uniformizes the local
%mean and variance of an image.
% ln=localnormalize(IM,sigma1,sigma2) outputs local normalization effect of
% image IM using local mean and standard deviation estimated by Gaussian
% kernel with s... |
0295be5d7bb9e3a9f18b77601208d9a7c94a08bc36862d6f14236f3235e7cc2f | MATLAB | 779 | 21 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function lme = fitlme_analysis_20210520_0(data,all_subject)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%make table
tbl = table(data,all_subject,'VariableNames',{'value','random1'});
lme0 = fitlme(tbl,'value ~ 1 + random1'); %linear re... |
1ec4587c4b22f31f4f16f6620ebc26df28711cfae5a4b08b7c4eeb20636af683 | MATLAB | 779 | 24 | function st = getNUFFTobjFromCoords(nkx,nky,nkz,dataDims_mm,fullMatrixDims,oversampFactor,useTable,bUseParfor)
if nargin < 8
bUseParfor = 0;
end
crds = [nkx(:).'*dataDims_mm(1); nky(:).'*dataDims_mm(2); nkz(:).'*dataDims_mm(3)];
om = [crds.']*pi; % trajectory coords from -pi to pi
% Nd = [Nx Ny Nz]; % image dime... |
57a04469e1772746ff43e0b4c25f2266e6fab67c2379fe323f5613f1ee4e007d | MATLAB | 779 | 27 | function [gold_complete G] = edgelist_2_D5C4_gs(gold_positives)
regulators = unique(gold_positives(:,1));
targets = unique(gold_positives(:,1:2));
%% lookup matrix for positive edges
A = edgelist2sparse(gold_positives(:,1:2));
%% build gold standard matrix for positives (1) AND negatives (-1)
G = zeros(length(regula... |
667b1cfea42dd2697e7a85fc406ee4b37d0a7a9ccc6360fa2802600e3edd769d | MATLAB | 779 | 27 | function shrinkage = compute_shrinkage(...
folder_fit,...
subgroups,...
idx_subgroups)
fit_r = load([folder_fit '/fit.mat']);
nb_animals = 0;
for idx_subgroup = 1:length(subgroups)
nb_animals = nb_animals + length(subgroups(idx_subgroup));
end
rand_effs = zeros(nb_animals, length(fit_r.beta))... |
e0c671d6df35e19c99c935aaa55d9b3ec29e7d2844e4525004a8bea063fb6981 | MATLAB | 779 | 28 | classdef FourierEmbeddingLayerExponentialSqrt < nnet.layer.Layer % ...
properties
numFourierComponents
end
properties (Learnable)
end
methods
function obj = FourierEmbeddingLayerExponentialSqrt(numFourierComponents)
obj.numFourierComponents = numFourierComponents;
... |
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