sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
5a971ada3da5bd0c8fbf7e10b9a863e03a38a2bcf85bc4923900dcf09b845e70 | MATLAB | 9,004 | 280 | %% S3 Fig
% Jiaxin Gao
% Zhejiang University
% email: jiaxin_gao@zju.edu.cn
%% Experiment 1
% The code for S3 Fig A
% 0.8-5
clear
clc
% close all
fs = 100;
mm = 1;
load('.\FigS3_data.mat')
FigA = FigS3_data.A;
pp_sum0 = FigA.pp_sum0_band1;
pp_sum1 = FigA.pp_sum1_band1;
pp_sum2 = FigA.pp_sum2_ban... |
54d82c5f84c03943bb2778436067ad32838400b620ea2fb0b2c35b8356298439 | MATLAB | 9,021 | 223 | function [outputSettings,allValid] = readSettings(fname)
% Read Zapit settings YAML file and return as a structure
%
% function settings = zapit.settings.readSettings()
%
% Purpose
% This function parses SETTINGS/settings.yml and creates it if does not already exist.
%
% If no settings h... |
38da21f4c5467d2c89c45d9e7a6477d5728cc89afba52d3575c9c43b5d56fce9 | MATLAB | 9,023 | 292 | classdef dotNETwrapper < zapit.hardware.DAQ
% Zapit NI DAQ class using the .NET wrapper for NI DAQmx
%
% zapit.hardware.DAQ.dotNETwrapper
%
% This class wraps the .NET NI DAQmx wrapper, allowing zapit.pointer to easily
% set up clocked and unclocked AO scenarios as well as unclocked AI. No clock... |
a3930bea5e510fc49f6d4b0980b273bad608938b04116fe378b5dcd47cc1973a | MATLAB | 9,034 | 299 | %% The code to produce Fig4
% Jiaxin Gao
% Zhejiang University
% email: jiaxin_gao@zju.edu.cn
%% Experiment 1
clear
clc
close all
fs = 100;
load('.\Fig4_data.mat');
pp_sum0 = Fig4_Data.B.pp_sum0;
pp_sum1 = Fig4_Data.B.pp_sum1;
pp_sum2 = Fig4_Data.B.pp_sum2;
h_sum0 = Fig4_Data.B.h_sum0;
h_sum1 = Fi... |
2b72a0caef5586c2254325e3579f14cb3e3d609f239c996849213b8b35d544c9 | MATLAB | 9,040 | 236 | % Classifier unit test
%
% Classifier: lda
rng(42)
tol = 10e-8;
mf = mfilename;
% Random data
nfeatures = 100;
X = randn(1000, nfeatures);
clabel = randi(2, size(X,1),1);
%% check "scale" parameter: if scale = 1, training data should be scaled such that mean(class1)=1 and mean(class2)=-1
% Get classifier params
par... |
0024633a420bde86fd3863be9943c0fed33431465a58437ea1b44e5a9e6803f3 | MATLAB | 9,103 | 239 | %% Description
%
% The following script extracts the RR intervals prior, during and after
% sound omissions to identify cardiac omission responses from ECG signals
% for the cardio audio experiment as described in
% https://doi.org/10.1101/2022.03.03.482861
%
% %
% Requires modification of data paths according... |
1bcd7d7bebfe818cceab7435fd6cfeaf9aa95627370ba29884bc25c9ab62283c | MATLAB | 9,111 | 182 | % T(strcmp(T.Testing_label,'chevron'),17)=array2table(1);
% T(strcmp(T.Testing_label,'complex'),17)=array2table(2);
% T(strcmp(T.Testing_label,'down_fm'),17)=array2table(3);
% T(strcmp(T.Testing_label,'flat'),17)=array2table(4);
% T(strcmp(T.Testing_label,'mult_steps'),17)=array2table(5);
% T(strcmp(T.Testing_label,'no... |
0b1f2c13a2611891be6c187f2c31f951c7cbf7258217b77e974f5e6a5e41a8df | MATLAB | 9,127 | 232 | function hBeanAx = beanPlot(groupData, groupLabels, colors, offsetScale, hAx, varargin)
if ~exist('hAx', 'var')
hBeanFig = createFullScreenFig;
hBeanFig.Position(4) = hBeanFig.Position(3) / 2;
hAx = gca;
end
switch nargin
case 6
support = varargin{1};
... |
435be5dd64d9cadba1822dd7f467efc70f41a244c53471794c0fa9e0172ca54c | MATLAB | 9,167 | 199 | function val_pareto
% Does the Generalised Pareto tail approximation resolve P-values below 1/n_perm?
%
% Counting exceedances cannot report a P-value smaller than 1/n_perm, and that
% floor -- not the FWE-corrected null, which the Gamma fit already handles -- is
% what forces a permutation test to run many thousands o... |
9800d157ae5cad468b33ee96248ab709bb7a743a19fdd1d1579f8bbfa4943633 | MATLAB | 9,207 | 204 | classdef ConfigFindROIsFLIKA_3D < ConfigFindROIsFLIKA
%ConfigFindROIsFLIKA_3D - Parameters for 3D FLIKA-based ROI identification
%
% The ConfigFindROIsFLIKA_3D class is a configuration class that contains
% the parameters necessary for two-dimensional FLIKA-based region of
% interest (ROI) identification. For fur... |
261987a16d34264102eba24e98fc88db7ab941dbc55d4fa4f2c32d7cefeb1c60 | MATLAB | 9,214 | 293 | classdef AOandDO_Synchronized_OO < handle
% Demonstration of simultaneous analog output and digital output with DAQmx .NET with a class
% This shows how to start and stop the signal playback with different conditions.
% For a function that is more basic and just starts up and plays signals see:
% vidri... |
87578f3bbb185ecb42825794beaa35e5399dd4e4e486580823894c5c2a3f3489 | MATLAB | 9,232 | 191 | sbxInfo = catInfo(x);
[deformCat, deform{x}, affParams, badInd] = GetDeformCat3D( catInfo(x), deformLim, 'show',true, 'overwrite',true); % [deformCat, deform{x}, affParams, badInd] =
%plot(deformCat.RS_final, deformCat.CS_final, '.');
% Load ref and current results
sbxInputPath = sbxInfo.path; %sbxPath{runs... |
5cbcf8ea8d4b9081adb221eb16d7e393f6fba15c81e6cb83fca2157e8fab52f6 | MATLAB | 9,239 | 262 | % ROT_TREE Rotate a tree.
% (trees package)
%
% tree = rot_tree (intree, DEG, options)
% --------------------------------------
%
% Rotates a cell's anatomy by multiplying each point in space with a simple
% 3by3 (3D) or 2x2 (2D) rotation-matrix. Rotation along principal
% components is also possible. It helps to cen... |
450ebb72f08eb69593b3d92948ae0136dbee3ab9e804ec96f410ccb87dbbe693 | MATLAB | 9,243 | 253 | cd 'C:/Work/MatlabCode/projects/BrainMetabolismModeling/BrainMetabolismModeling'
ihuman = load('C:/Work/MatlabCode/components/human-GEM/Human-GEM/model/Human-GEM.mat').ihuman;
modSimp = simplifyModel(ihuman,false,false,true,true); %remove dead-end reactions
%figure out which reactions that can carry flux
rxns... |
d0479e1fa6c28f4c267913442c8d31fae05baf1bb39aa9e380a7db10d60063a2 | MATLAB | 9,247 | 224 | load('figures_3_and_5_data.mat');
% plot changes in thalamo-cortical and cortico-thalamic cross-frequency
% information transfer in anesthesia, seizure, and 5-meo-dmt states
% relative to norma waking baselines
colors = {[145 73 1]./255, [35 253 35]./255, [255 109 182]./255};
shapes = {'*', 's','+'};
names={'Human E... |
b9a632984597d87ae50ba134867e4d8ac8d76fbeb2fb62d0ba734c0b0d8eb660 | MATLAB | 9,250 | 284 | function varargout = plot(self, varargin)
%plot - Plot a single graph from the data object
%
% plot(OBJ, X, Y) plots a graph of X vs Y onto the current axis using
% default values for all other options. X and Y can be either numeric
% arrays, or character arrays corresponding to a valid property name in
% the ... |
256def3be79a948514cd0ca527f8d6f0af448e1d4fd476a3af0b8f492a4012c3 | MATLAB | 9,255 | 245 | function displayID = loadDisplayParams(varargin)
% load saved parameters for using a display with the VISTADISP tools.
%
% displayID = loadDisplayParams([property, value, ...]);
%
% This is a routine for loading display params on a given computer. Uses a
% default directory in a default path to load files containing t... |
f7bddd4bb72e8db69413c04f855f2418758eb0e451b4904a144b0c479c386c4d | MATLAB | 9,255 | 269 | classdef Test_ProcessedImg < matlab.unittest.TestCase
% TEST_PROCESSEDIMG Summary of this class goes here
% Detailed explanation goes here
% ================================================================== %
properties (Constant)
name = 'test_name';
end
% =================... |
dc5e28a2bcc98a5c999400a7ccedc133d43f23794ebebd92d48604875e2cc331 | MATLAB | 9,263 | 218 | function [perf, result, testlabel,cfs] = mv_classify_across_time_BOB(cfg, X, clabel)
% Classification across time. A classifier is trained and validate for
% different time points in the dataset X. Cross-validation should be used
% to get a realistic estimate of classification performance.
%
% Usage:
% [perf, res] = mv... |
be436b463763dfe2e8cf044b7dcd7eb806dd09ddf97deec1761262e28b294c36 | MATLAB | 9,278 | 194 | function InspectPeriOnOff3D(expt, periBout, periStat, showVars, varargin)
% Visualize deformation variables associated with locomotion bout onset/offset
IP = inputParser;
addRequired( IP, 'expt', @isstruct )
addRequired( IP, 'periBout', @isstruct )
addRequired( IP, 'periStat', @isstruct )
addRequired( IP, 'defVar... |
f05b02c3b29700b2009d1d13367cff038d8a0e6af8f919d79c690343c98fcb83 | MATLAB | 9,280 | 242 | classdef DataFindROIsFLIKA_3D < DataFindROIsFLIKA
%DataFindROIsFLIKA_3D - Data from FLIKA-based ROI identification
%
% The DataFindROIsFLIKA_3D class contains the data generated by
% CalcFindROIsFLIKA.
%
% DataFindROIsFLIKA_3D public properties inherited from Data:
% mask - A mask combining all of the ... |
22a1668f55e6f14fc0b4b6ba892d3f2ca16fe58a4ad8c37f03f4dfc1676fd071 | MATLAB | 9,310 | 379 | function [ALPHA,LAMBDA,options] = KMA(labeled,unlabeled,options)
% Kernel manifold alignment
%
% Usage : [eigenvectors,eigenvalues] = KMA(Labeled,Unlabeled,NumDomains,options)
%
% Inputs:
%
% - Labeled: structure with labeled data [1,NumDomains].
% each cell has X (dim1 x n1) and Y (n1 x 1) fields
... |
4aac6020c84d28065f3986f7f6be22ade65788fb2767ad661f3aaeb1e5304c58 | MATLAB | 9,351 | 297 | function model = rmSearchFit_temporal_v3(model,data, stim, params, wProcess,trainSet,t)
% rmSearchFit_temporal - wrapper for 'fine'
% 2020/04 KIS: added spatiotemporal
%%
% searchOptions = params.analysis.fmins.options;
% fmin_options = optimoptions('fmincon', 'Display', 'iter', ...
% 'UseParallel', false,'MaxIteratio... |
571e932a008bc27a87a3db5074dce95b3d1024ffae2bc50835438874ff5d8620 | MATLAB | 9,355 | 208 | classdef ConfigFindROIsFLIKA_2p5D < ConfigFindROIsFLIKA
%ConfigFindROIsFLIKA_2p5D - Parameters for 2.5D FLIKA-based ROI identification
%
% The ConfigFindROIsFLIKA_2p5D class is a configuration class that contains
% the parameters necessary for two-dimensional FLIKA-based region of
% interest (ROI) identification.... |
8d6956cef4158799e97edf0d589de6653257391766950f34be9175764fef0068 | MATLAB | 9,359 | 316 | %% Exploring NMF on the splintr data
img = load3DTif_uint16('/Users/Goody/Neuro/ExSeq/exseq20170524/exseqautoframe7_3_round007_ch02SHIFT_registered.tif');
img_patch = img(101:150, 101:150,:);
%%
X = zeros(size(img_patch,1)*size(img_patch,2),size(img_patch,3));
for z_idx = 1:size(X,2)
X(:,z_idx) = reshape(sq... |
7b87f8799284fa0c9233795765461f1f3cf19a3c306adf83ec77029252391970 | MATLAB | 9,363 | 313 | function model = rmSearchFit_temporal_v3_hrf(model,data, stim, params, wProcess,trainSet,t)
% 2020/04 KIS: added spatiotemporal
% tic
warning('**************[ rmSearchFit_temporal_v3_hrf]wProcess*************')
% profile on;
% convert to double just in case
params.analysis.X = double(params.analysis.X);
params.analysi... |
4ca1fd178c17d40f7a80b73c096f6eee2842b1ca7c72064ea938c8bb4a34c272 | MATLAB | 9,373 | 137 | clear; clc; close all;
dataDir = 'D:\2photon\Simone\'; %'D:\2photon\'; % 'C:\2photon';
dataSet = 'Macrophage'; % 'Pollen'; %'Afferents'; % 'Vasculature'; % 'Astrocyte'; % 'Anatomy'; % 'Neutrophil_Simone'; % 'NGC'; % 'Neutrophil'; %
[regParam, projParam] = DefaultProcessingParams(dataSet); % get default pa... |
a730b09b4141131df4b5d407b39ade3553c9c8c28751cf8796b890d21fb98e8e | MATLAB | 9,421 | 249 | function [tg, corrp] = taft_postprocess_TF_TFplot(job, dirs, sortBetas, iROI, selChans, thresh, nP, zlim, isSave)
% [tg, corrp] = taft_postprocess_TF_TFplot(job, dirs, sortBetas, iROI, selChans, thresh, nP, zlim, isSave)
%
% For fMRI-EEG regression weights for selected ROI,
% select data for given channels/ time ran... |
9605393c9f247173fc09418ad23e83a02f3b1d1b26ab3ddf341f4a5863d4fc04 | MATLAB | 9,429 | 261 | %==========================================================================
% This script preprocesses the original macro-electrode iEEG data.
%
% Preprocessing includes
% - selection of usable channels;
% - conversion to bipolar montage (adjacent usable channels only);
% - line noise removal (optional).
%
% References... |
3dc0101d32adceab23755294f2567e44f4222a4ebd7a7447219fc993d1dc1d10 | MATLAB | 9,468 | 289 | %% Fig 6
% Jiaxin Gao
% Zhejiang University
% email: jiaxin_gao@zju.edu.cn
%% exp1
% code to produce Fig 6B
clear
clc
close all
fs = 100;
load('.\Fig6_data.mat');
pp_sum0 = Fig6_Data.B.pp_sum0;
pp_sum1 = Fig6_Data.B.pp_sum1;
pp_sum2 = Fig6_Data.B.pp_sum2;
figure
tidu = setdiff(1:306,1:3:306);
... |
93ef8dde7482b62aba89e6ad1e8161f84227379ef3a7c4571f9927c79d26ce4b | MATLAB | 9,483 | 149 | function neuron = t2n_implicitSpines(neuron,scaleAll,tree)
% This function goes through all regions and scales the conductances (and
% cm) according to the scaling information in region.spines.
% Then it deletes the spines mechanism.
%
% INPUTS
% neuron t2n neuron structure with already defined mechanism... |
e257352861fc734ee0358cea507b141e3cd68654dab7d16a04788bce9d70bb03 | MATLAB | 9,487 | 325 | function sff = sphirefly3d(varargin)
%SPHIREFLY3D calibration-free 3D reconstruction of firefly spherical videos
%
% Raphael Sarfati
% raphael.sarfati@aya.yale.edu
%
% spherifly3d(sff)
% spherifly3d(cyber2world)
%
%
% 05/2022 -v0.1
% 07/2022 -v0.9
sff = initsff(varargin);
sff = sffTrack(sff);
s... |
bc35825ec42db1ee305d5f3ca27634342311631af392b7caaf285ae231f72e53 | MATLAB | 9,490 | 208 | classdef ConfigFindROIsFLIKA_2D < ConfigFindROIsFLIKA
%ConfigFindROIsFLIKA_2D - Parameters for 2D FLIKA-based ROI identification
%
% The ConfigFindROIsFLIKA_2D class is a configuration class that contains
% the parameters necessary for two-dimensional FLIKA-based region of
% interest (ROI) identification. For fur... |
99ff19be5ebc48190166992f80a65bb612204f1ecedb0e43d079b7fdd0d6e0ff | MATLAB | 9,509 | 295 | % FigureS17.m
% Plots for Supplementary Figure S18.
%
% EEG/fMRI STUDY, DONDERS INSTITUTE, NIJMEGEN.
% J. Algermissen, 2018-2023.
% Should work in Matlab 2018b.
% we are here:
% cd /project/3017042.02/Analyses/FiguresOutcomeLocked
% clear all; close all; clc
% Set root directory:
cd(fileparts(which('figures_set_roo... |
9111553daa4a53e621327f39cc9c11237e9ecb1466416bea98b0e9f2a6ff5468 | MATLAB | 9,519 | 233 | %==========================================================================
% This script estimates the raw and relative power spectrum of ripples.
%
% Lukas Kunz, 2022
%==========================================================================
% start
clear; clc; close all;
% paths
paths = [];
paths.info ... |
0721f3f838ee54bae74882a834166ff4e144e13fc65709c414fdc95169d920b7 | MATLAB | 9,568 | 283 | %% CellScan
% Analyse cellular signals
%% Usage
% OBJ = CellScan(NAME, RAWIMG, CONFIG, CHANNEL)
%% Arguments
% * |NAME| is the name for this |CellScan| object.
% * |RAWIMG| is the |RawImg| object that will be used to create the
% |CellScan| object.
% * |CONFIG| contains the configuration parameters needed for the
%... |
720d24e0a9efdeebb030c9d99a5ece405788a75c4a744a0a62035ded6d7176df | MATLAB | 9,596 | 289 | % Batten, Bang, Kopell et al (2024) Dopamine and serotonin in human
% substantia nigra track social context and value signals during economic
% exchange
%
% Figure 3
%
% Visualization and analysis of overall dopamine/serotonin
%
% Written in MATLAB 2023a
%
% Dan Bang danbang@cfin.au.dk & Seth R. Batten srbatten10@vt.ed... |
79a620706756869886fa0e980002a279710e9c7df9a0253419b36d2e88e33ada | MATLAB | 9,619 | 187 | %% Use GLM to assess contribution of different variables
onPostResult = cell(1,Nexpt);
figDir = 'D:\MATLAB\LevyLab\Figures\3D\Loco\';
clearvars onPostPred onPostResp onPostResult onPostSumm
rLocoPostFit = cell(1,Nexpt);
for x = x3Dcsd %xPresent
% GLMparallel options
onPostOpts(x).show = true;
onPost... |
1aafb20ad32347106ba9c09199bd7a77ad039d0e383bf8a5c0fc8f3dbcad87da | MATLAB | 9,644 | 157 | function evaluate_stat(stat, pCrit)
% [p] = evaluate_stat(stat, pCrit)
%
% Locate clusters above threshold for given p-value threshold.
%
% INPUTS:
% stat = Fieldtrip object, output of ft_timelockstatistics or
% ft_freqstatistics.
% pCrit = numeric scalar, critical p-value theshold for clusters
% (de... |
32c55ae600fd64009c38eae6f4a2b6aa009c8a5ce2e1bc33d31ae77710cd4230 | MATLAB | 9,655 | 230 | classdef LineScanVel < StreakScan
%LineScanVel - Class to analyse line scan images of vessel velocities
%
% The LineScanVel class analyses line scan images of vessel velocities
% acquired by scanning along to the vessel axis. Typically, the vessel
% plasma will be labelled by a fluorescent marker, like a dextran... |
404adeb838f75d9354d91b204be03b8043d911a407cc97163907fb0b09af6f68 | MATLAB | 9,657 | 244 | function EEGfMRIPav_OutcomeLocked_3_visualICs(rootDir, subVec)
% EEGfMRIPav_OutcomeLocked_3_visualICs(rootDir, subVec)
%
% Plot independent components obtained from ICA.
%
% INPUTS:
% rootDir = string, root directory of project
% subVec = vector of integers, numbers of subjects to process
%
% OU... |
f2ab177ec40702ac032d42d4b0d5d0d287a83b3b377c82545f884ed359b0b512 | MATLAB | 9,661 | 139 | function projParam = GenerateExptProjections(expt, catInfo, Tscan, varargin)
% Generate downsampled, possibly z-projected, movies for each run from each requested type of concatenated data
if isempty(varargin)
projParam.overwrite = false;
else
projParam = varargin{1};
end
projParam.dir = strcat(expt.dir... |
a425b75eed9533d9fc4992e4b43164ee4ee2a6ce4696fc1d59232168371e0a7c | MATLAB | 9,672 | 352 | function st_prep_stimulus()
%% experimental setting
% stimulus radius = 9
% trial Dur = 5, blank Dur =10
% Number of Direction 4, number of steps 9
% Stimulus [4 * 9 * 5] = 180 sec
% Blank (10) + Stimulus (4 * 9 * 5 = 180) + 2 Blanks (10*2)+ Blank (10)
% Total duration = 220 sec => 3.6 min
% load predefined shuffled se... |
75b991f1e6c36785638bbf293cef700910f754a2f7b1fd92ca2e342d1d5d6806 | MATLAB | 9,673 | 253 | classdef CalcFindROIsCellSort < CalcFindROIs
%CalcFindROIsCellSort - Class for ICA ROI identification (2D)
%
% The CalcFindROIsCellSort class is a Calc class that implements a
% spatio-temporal Independent Component Analysis (stICA) algorithm for
% ROI identification, also known as CellSort. For further informat... |
91aa4e0df7fad6ca9206cf9c6b38c2c84a482cd97158375353f68f601553fba0 | MATLAB | 9,678 | 314 | %op_CSISpecReg.m
%
% USAGE:
% [out, freqs, phases]=op_CSISpecReg(in,averagingMode,pointsPerLoop);
%
% DESCRIPTION:
% Takes a CSI FID-A structure and applies frequency and phase drift correction.
% Uses spectral registration to align the FIDS acquired from a common
% k-space point. Applies the measured frequency and pha... |
21580933b1a754a9ee789fe52975505fdb18f531c708ba4f0b5c3dfdf5dd900c | MATLAB | 9,684 | 283 | function couple_gui()
%% Load mesh and remove unnecessary attributes
[meshfile,meshpath] = uigetfile('*.msh', 'Select the mesh file output from SimNIBS simulation');
mesh = mesh_load_gmsh4([meshpath meshfile]);
% Only keep the vector E-field
for idx = 1:length(mesh.element_data)
if strcmp(mesh.element_data{idx}.na... |
0d41ba8892e84c4ad34839f08c0b10756df46c84c0f9c6ba04734e1a1de2fcc3 | MATLAB | 9,715 | 206 | % This code tiles the original CZI images
coverslipNumber = '87';
path_to_czi = 'C:\NeuronCzi\TF_coverslips\2019_11_22_87.czi';
imageName = '2019_11_22_87';
% create the folder for tiled neuron images and extracted individual
% neurons
d = sprintf('D:\\\\Neuron_analysis\\\\tiledNeurons%s',coverslipNumber);
m... |
a20a61a79e56b78dd71e5d26c56cf2ec98dbe818e1910657c3c7872aa6e7be9f | MATLAB | 9,780 | 220 | clear
clc
spm fmri
FolderPath = 'G:\Functional_data';
OutputPath = 'G:\Analysis\First_level_communal_concern_parametric';
cd('G:\Batch\SPM12');
onset_SPM_reciprocity_cost_2levels_53subs
NSlice = 62;
refSlice = 31;
TR = 2.0;
SubList = dir(fullfile(FolderPath,'SEMI*'));
CondList = {'Outcome_all_nomiss' 'Allocation' '... |
4e921fb1d1a243b3139b4009572c21714beca4efbb2e4eb2ce8006229b95e0c3 | MATLAB | 9,781 | 220 | clear
clc
spm fmri
FolderPath = 'G:\Functional_data';
OutputPath = 'G:\Analysis\First_level_reciprocity_parametric';
cd('G:\Batch\SPM12');
onset_SPM_reciprocity_cost_2levels_53subs
NSlice = 62;
refSlice = 31;
TR = 2.0;
SubList = dir(fullfile(FolderPath,'SEMI*'));
CondList = {'Outcome_all_nomiss' 'Allocation' 'info_... |
74db3f352c5ebe031450bd3c655060768e1b1d43ab244e7df97c9c8d7e9cc9ac | MATLAB | 9,835 | 286 | % Batten, Bang, Kopell et al (2024) Dopamine and serotonin in human
% substantia nigra track social context and value signals during economic
% exchange
%
% Figure 4
%
% Visualization and analysis of relative dopamine/serotonin
%
% Written in MATLAB 2023a
%
% Dan Bang danbang@cfin.au.dk & Seth R. Batten srbatten10@vt.e... |
9d81242a13fb368fe302dcd7d96dbc658b61bba31f718e518b9c336dd8a7674f | MATLAB | 9,903 | 184 | function [stillEpoch, stillBin, stillSumm] = BinStillEpochs(expt, T, loco, fluor, deform, csdBout, varargin)
% Parse inputs
IP = inputParser;
checkData = @(x)(isempty(x) || isstruct(x));
addRequired( IP, 'expt', @isstruct )
addRequired( IP, 'T', @iscell )
addRequired( IP, 'loco', @isstruct )
addRequired( IP, 'fl... |
94829c6f67e3dcdadc8b0fe1fac208e242e1136d821b3292a86d61e6fb23445c | MATLAB | 9,928 | 218 | function [corrp, tg] = clustertf(c,thresh,nP,teststat)
% [corrp, tg] = clustertf(c,thresh,nP,teststat)
%
% Take 4D input object (subject x regressors x frequency x time), loop over
% regressors, perform one-sample t-test across subjects fore each frequency
% x time grid point, do cluster-based permutation test for gr... |
16110e1fa2c0126e6715c685fe92dc89bad700405ea923bf66a120aca461179e | MATLAB | 9,951 | 211 | function segParams = SegmentSbx(sbxInfo, segParams, varargin) % [zproj_interp, mask, trace_raw, trace_hp, segmentation_data, sbxPath] =
IP = inputParser;
addRequired( IP, 'sbxInfo', @isstruct )
addRequired( IP, 'segParams', @isstruct )
addParameter( IP, 'overwrite', false, @islogical )
parse( IP, sbxInfo, segParam... |
dc6f95fb83ad08f207ebbdb9049eb78ee05745fed3f60811886371f5fd7e525e | MATLAB | 9,978 | 264 | % io_loadRFwaveform.m
% Jamie Near, McGill University 2014.
%
% USAGE:
% [RF_struct]=io_loadRFwaveform(filename,type,off_res);
%
% DESCRIPTION:
% Initialize an RF pulse structure to contain an
% RF Pulse waveform as well as its accompanying header
% information. This function finds the time-bandwidth
% product (tbw)... |
7697c51b85bdf8d0d59169107e7aa40fc3c34ca6bb59704a4e7bf1eef1b78e09 | MATLAB | 10,026 | 264 | function EEGfMRIPav_plot_behavior()
% EEGfMRIPav_plot_behavior()
%
% Reads data by calling EEGfMRIPav_aggr_data(), then creates
% 1. Line plot of p(Go) per condition over time.
% 2. Bar plot of p(Go) per condition with individual subject means as scattered data points.
% 3. Bar plot of RT per condition with individua... |
4a54c41c88763ee8d69561d34c41ce47abef5f30d1f8cb1f0cea3afc75aff9fe | MATLAB | 10,029 | 238 | function [patterns,pattDistr,patternTrialTD,patterTCurves,trailPTC,allPattLRd,sourceIs] = assemblyDetect(sourceIs)
%Detects coactive neurons (assemblies) based on Lopes Dos Santos et al.,
%2013, J. Neurosci. methods. Used by splitsummarizerFinal.m
sessionsV = {'ham21_18-22','ham21_98-100','ham25_35-37','ham25_44-4... |
26d776ad96aa408f269d6e07e5d901f991b83a840e247a7684fbee779dc313f0 | MATLAB | 10,032 | 197 | function [ stimGroup, respGroup, fitResult, fitSumm, sigmFit ] = StimResponse( stim, response, varargin )
%StimResponse
Nresponse = size(response,2);
IP = inputParser;
addRequired( IP, 'stim', @isnumeric )
addRequired( IP, 'response', @isnumeric )
addOptional( IP, 'frameDelay', 0, @isnumeric )
addOptional( IP, ... |
3004f851d075305637218a824ca1c2b63451bd8180a005c5dc83b577dc851bc9 | MATLAB | 10,036 | 249 | classdef CalcFindROIsFLIKA_2p5D < CalcFindROIsFLIKA
%CalcFindROIsFLIKA_2p5D - Class for FLIKA-based ROI identification (2.5D)
%
% The CalcFindROIsFLIKA_2p5D class is a Calc class that implements the
% 2.5D FLIKA algorithm for ROI identification. In the 2.5D case, ROIs are
% identified in the original 3D mask gene... |
5bfb2d3a6da35c21539f97548ee060da7f2cc2aedb206800a6ccb054cefc5a09 | MATLAB | 10,037 | 184 | % the pattern separation toolbox: analyse spike train ensembles
% Copyright (C) 2022 Alexander D Bird
function [joint_distribution,delay_distribution]=joint_distribution_TE(binned_inputs,input_code,binned_outputs,binned_delayed_outputs,output_code,wordsize)
n_trial_in=size(binned_inputs,1);
n_trial_out=s... |
69f792fc01606cc8a507bd25fa753ffcd262f0aaa36ce2a40ae97367b66599ad | MATLAB | 10,043 | 227 | clear
clc
spm fmri
FolderPath = 'G:\Functional_data';
OutputPath = 'G:\Analysis\First_level_obligation';
cd('G:\Batch\SPM12');
onset_SPM_reciprocity_cost_3levels_53subs
NSlice = 62;
refSlice = 31;
TR = 2.0;
SubList = dir(fullfile(FolderPath,'SEMI*'));
CondList = {'Outcome_possible_low' 'Outcome_possible_mid' 'Outco... |
ab6cc257c72066d5aef73f5c9d60af37a08c146a1215ed423131d3c87fcb5f58 | MATLAB | 10,049 | 230 | %% Fiber Photometry Epoch Averaging Example
%
% <html>
% This example goes through fiber photometry analysis using techniques <br>
% such as data smoothing, bleach detrending, and z-score analysis. <br>
% The epoch averaging was done using TDTfilter. <br><br>
% Author Contributions: <br>
% TDT, David Root, and t... |
8a719e58a86fe70b31ad4144ccc5b0e057d643c1f645cb0e2e1b7582646d1654 | MATLAB | 10,085 | 277 | % 2021 EDIT: This function is now deprecated. The current version of the shaped semiLASER
% simulation is run_simSemiLASERShaped_fast.m, which employs coherence selection,
% instead of phase cycling, resulting in a 4x simulation speed increase.
% run_simSemiLASERShaped_fast_phCyc.m
%
% Fast version by Muhammad G Sale... |
b8a0aaec3c300da69f13fa0d73a308853ccd539e0e6766d86443d9c9a4bceb98 | MATLAB | 10,088 | 247 | classdef SCIM_Tif < RawImg
%SCIM_Tif - Class implementing ScanImage Tif raw image objects
%
% The SCIM_Tif class implements functionality related to ScanImage Tif
% objects and simplifies the process of importing the image data and
% metadata.
%
% This class relies on and includes existing code provided with th... |
450726190a77cddedb5b81e485b7871c43739a8c8fe09292db414e5885678d2b | MATLAB | 10,133 | 235 | %% Fiber Photometry Epoch Averaging Example
%
% <html>
% This example goes through fiber photometry analysis using techniques <br>
% such as data smoothing, bleach detrending, and z-score analysis. <br>
% The epoch averaging was done using TDTfilter. <br><br>
% Author Contributions: <br>
% TDT, David Root, and t... |
90ab6ab3e69c7783295f290431e2e509de792f14b556645023ced25c9017b905 | MATLAB | 10,134 | 241 | function [cfg, clabel, n_classes,n_metrics] = mv_check_inputs(cfg, X, clabel)
% Performs some sanity checks and sets some defaults for input parameters
% cfg, X, and y.
% Also checks whether external toolboxes (LIBSVM and LIBLINEAR) are
% available if required.
if ~iscell(cfg.metric)
cfg.metric = {cfg.metric};
en... |
b735ffbc0db90ca992c0564b525109ef55b71262f1c3d3984355d5bb94209bdc | MATLAB | 10,153 | 347 | function st_prfRun(sessionDir,roifile,stimfile,analysisoption,prfModel,temporalModel,prefix,wSearch,userData,useGPU)
%
% Step 4 of the workflow for analyzing stPRF
% Runs the spatiotemporal prf model
%
% Default Input valuesw
%
% KIS 2020 (adapted from code by RL & JG & DF)
%% TODO:
% remove: stimseq
% now everythin... |
8bcdb4581fccf2d23eafb9eb87dc962db43361aad694aa3bcc7f02cb3d1fe1ca | MATLAB | 10,162 | 350 | %% CompositeImg
% Contain and analyse groups of images from the same RawImg
%% Usage
% OBJ = CompositeImg(RAWIMG, CONFIG, PROCTYPE)
% OBJ = CompositeImg(NAME, ...)
%% Arguments
% * |RAWIMG| is the |RawImg| object array that will be used to create the
% |ProcessedImg| child objects in the |CompositeImg| object.
% * ... |
91b894fdd7a8bd05e04cb5ea33144c04a2f7f325a7b8ac1b96c4feb5d58cef80 | MATLAB | 10,170 | 257 | function [montage, cfg] = ft_nirs_prepare_ODtransformation(cfg, data)
% FT_NIRS_PREPARE_ODTRANSFORMATION returns the transformation matrix from
% optical densities (OD) to chromophore concentrations such as (de-)
% oxygenated hemoglobin.
%
% Use as
% [montage] = ft_prepare_ODtransformation(cfg, data)
%
% It is neces... |
cd6c009a9592e669bda0a06bee90880017f5c3e2f12154df2ebfebd1281e3ccf | MATLAB | 10,171 | 246 | classdef (Abstract) ConfigMultiple < ConfigHelper & dynamicprops
%ConfigMultiple - Superclass for multiple config container objects
%
% The ConfigMultiple class is an abstract superclass that is designed to
% contain more than one Config object for those ProcessedImg objects that
% contain more than one Calc obje... |
e33f2fc2308464eb24677a2bc1e95379fa77c33ff9d02f42310f1b5fea72a919 | MATLAB | 10,176 | 388 |
%clear
close all force
warning on
imSize = [733, 977];
pix2deg = 34.910;
figure(1)
set(gcf,'Position', [440 418 555 380])
load('a0_3_1_extractingTheMorphingDataFromAnalyze1', 'imgMorphAllSaved','imgAllSaved');
load('a0_0_bhv2trialStrct.mat');
load('a0_3_0_extractingTheMorphingDataFromAnalyze1.mat','fpMean')
... |
23e44b0fa37374d7d654ca00d15ac065afda0b970998d86e9acecd85a047301a | MATLAB | 10,180 | 237 | %% In the main analysis, we computed fisher information for each neuron
% assuming Poisson statistics, then summed them up because we assumed
% statistical independence. In this control analysis, we test how the
% results might change if the neurons has statistical dependences. This is
% a supplemental script that expl... |
a7e9ad8c42e2cfe17e125c4809b774e1d2901323dd7d67dfbaeb7c2fcbae631d | MATLAB | 10,189 | 280 | %==========================================================================
% This script performs a unit quality assessment of the recorded units.
%
% Lukas Kunz, 2022
%==========================================================================
% start
clear; clc; close all;
addpath(genpath('E:\WaveClus3\')); % Chaure... |
89308a5d977a2fc767371a9226debed6852240a4dbb4fcf54a4897eaf3a5f934 | MATLAB | 10,199 | 398 | p=pwd;
cd ..\
load('foldersAll.mat');
cd(p);
errorsCommon={};
for n=1:11;
errorsCommon{n}=[];
end
meanErrorsCommon=[];
perCommon=[];
for n=1:length(foldersAll);
cd(foldersAll{n});
cd('decodingCommonCells');
load('error.mat');
load('meanErrors.mat');
load('perc.mat');
for m=1:... |
3907d1ba8b12f684177d0784cb97dca65707934c50e14976497bb583399f1fb5 | MATLAB | 10,201 | 313 |
clc;
clear;
%% Load all paths here..
loadpath;
%% Dataset path here..
S.tdtdataset = ['02_27072018_SponSleep']; % '02_27072018_SponSleep','03_14092018_SponSleep',
% '04_17092018_SponSleep','06_30102018_SponSleep',
% '07_01112018_S... |
8eb1de693aeb1e76b53a26812963b7d71d37215cddf203ee57b6e3e35cb3f14d | MATLAB | 10,206 | 274 | function varargout = calibrationgui(varargin)
% CALIBRATIONGUI MATLAB code for calibrationgui.fig
% CALIBRATIONGUI, by itself, creates a new CALIBRATIONGUI or raises the existing
% singleton*.
%
% H = CALIBRATIONGUI returns the handle to a new CALIBRATIONGUI or the handle to
% the existing singleton... |
28b8b073d5085bd791a39bc91d45442bada9299adf155bcba1506799d3b86388 | MATLAB | 10,214 | 235 | function [perf,result] = mv_searchlight(cfg, X, clabel)
% Classification using a feature searchlight approach can highlight which
% feature(s) are informative. To this end, classification is performed on
% each feature separately. However, neighbouring features can enter the
% classification together when a matrix of... |
a49bfdecb5b6711fb29d218d39b4744a7bc7c0c42df1f72d54c781bb140a6bf8 | MATLAB | 10,234 | 205 | %% Use GLM to assess contribution of different variables
onPreResult = cell(1,Nexpt);
figDir = 'D:\MATLAB\LevyLab\Figures\3D\Loco\';
clearvars onPrePred onPreResp onPreResult onPreSumm
rLocoPreFit = cell(1,Nexpt);
for x = x3Dcsd
% GLMparallel options
onPreOpts(x).show = true;
onPreOpts(x).rShow = []... |
3097b41fd8b406fafea06a5861586180694c2eabe2ef6efa89105ccff1466f5d | MATLAB | 10,302 | 243 | classdef ConfigVelocityLSPIV < Config
%ConfigVelocityLSPIV - Parameters for LSPIV-based velocity calculation
%
% The ConfigVelocityLSPIV class is a configuration class that contains
% the parameters necessary for calculating velocity based on the
% Line-Scanning Particle Image Velocimetry (LS-PIV) algorithm. For ... |
34c3e326c2e56456fd448c2687cfddd6db56e964bab9035ae84aeeed514da15b | MATLAB | 10,335 | 292 | classdef ImgGroup < Processable
%ImgGroup - Class to contain groups of processable objects
%
% The ImgGroup class implements most functionality related to groups of
% Processable objects.
%
% Please see the <a href="matlab:web(fullfile(utils.CHIPS_rootdir, 'doc', 'html', 'ig_ImgGroup.html'))">ImgGroup quick start... |
4e02f3b4d5f3039a09186e80b5d4e6f05ef62bdf76764974bc4b5b6801128769 | MATLAB | 10,340 | 386 | ID='Gi17547'
inputname=strcat('SortedData_', ID, '.mat');
load(inputname)
disp('===LTA MSD excitatory response during stance===');
temp0=[];
temp1=[];
temp3=[];
temp7=[];
for i=1:length(STANCE_LEFT.EXC(:,1))
if STANCE_LEFT.EXC(i,1)==0
temp0=cat(1,temp0, STANCE_LEFT.EXC(i,6));
elseif STA... |
c7f1583d4ce367394e7e4a15503202fcd610321cae58cc7922705d33b230570b | MATLAB | 10,367 | 393 | % PP_GENERATOR_TREE Distributes points with given R value.
% (trees package)
%
% [P, numIt, Rvalues] = PP_generator_tree ( ...
% N, R, a, alpha, n_mc, level, epsilon, options)
% -------------------------------------------------------------
%
% Distributes N random points in a 200 x 200 um2 square or in a
% 200 x 20... |
b5477af3f618a69b05917bc0449fce3cf13a07cb1167bf897a96911e0758c2e4 | MATLAB | 10,369 | 261 | %% This script analyzes (plots FI distribution and RF centers for) the FI distributions
% from each of the cortical areas. We run the basic calculation for Gaussian, Poisson, and Gaussian variable
% noise with no correlations
clear all; close all;
% Set the random seed to a specific value so that bootstrapping result... |
a2efb1edb69230b560f79fe664901b0d69b5c6add7510ad9f1c786168f0d8746 | MATLAB | 10,384 | 423 | %==========================================================================
% This script recreates the main figures of the paper "Ripple-locked
% coactivity of stimulus-specific neurons and human associative memory".
%
% Lukas Kunz, 2023.
%==========================================================================
% s... |
b82da53f751e642e3d93a0492149a408c65305e0ace157e1394aded784952166 | MATLAB | 10,447 | 282 |
% run_simSemiLASERShaped_fast.m
% Dana Goerzen and Jamie Near, McGill University 2021.
% Fast version by Muhammad G Saleh (Johns Hopkins University School of Medicine, 2019)
% USAGE:
% out=run_simSemiLaserShaped_fast(spinSys);
%
% DESCRIPTION:
% This script simulates a PRESS experiment with fully shaped refocusing
%... |
022a5cc092df6c6196d24b568d684db7f9681dc53e1a3daf9b6275f1314bd1ba | MATLAB | 10,488 | 257 | classdef BioFormats < RawImg
%BioFormats - Class implementing BioFormats raw image objects
%
% The BioFormats class implements functionality related to the
% Bio-Formats Java library and simplifies the process of importing the
% image data and metadata. This class requires prior installation of the
% Bio-Format... |
0f0dc60f9a29d5d2755fa98c73b084baab936d4136c05812c04328391879166e | MATLAB | 10,502 | 294 | % run_pressproc.m
% Jamie Near, McGill University 2014.
%
% USAGE:
% [out,out_w,out_noproc,out_w_noproc]=run_pressproc(filestring,aaDomain,tmaxin,iterin);
%
% DESCRIPTION:
% Processing script for Siemens PRESS MRS data in .dat format (twix raw data).
% Includes combination of reciever channels, removal of bad avera... |
a207da026cee3cb065b81462d212282e9184ff0b7c26ec91fe314f7e82aa417c | MATLAB | 10,517 | 248 | function varargout = myshadow_v16(x,f,active,varargin)
% MYSHADOW_V15 Draws a shadow around a curve
% MYSHADOW_V15(X,Y,1) draws a shadow below the curve represented by vectors
% X and Y. The 3rd argument activates (==1) or deactivates (==0) drawing of the
% shadow.
% MYSHADOW_V15(...,Name,Value) creates the sha... |
7f34efbcced488a340b481aa3dbea19aac6ea93526f22929ce09dd388d7f8637 | MATLAB | 10,573 | 224 | function cordata = subtract_ERP(cordata, ERPdata, corselTrials, ERPselTrials, mode, subtractTime, ERPdur)
% cordata = subtract_ERP(cordata, ERPdata, corselTrials, ERPselTrials,mode, subtractTime, ERPdur)
%
% Computes the mean ERP given input data ERPdata for selected trials
% ERPselTrials, correct input data cordata ... |
de4ad3412dede0da64cf5f4b8f8ca92c83e1cf0e6740a3f1d2d5466c8524de3d | MATLAB | 10,586 | 282 | function info = convert_open_ephys_to_kwik(varargin)
%
% Converts Open Ephys data to KWIK format
%
% by Josh Siegle, November 2013
%
% info = convert_open_ephys_to_kwik(input_directory, output_directory)
%
% input_directory: folder with Open Ephys data
% output_directory (optional): folder to save the KWIK files
%... |
e84aa62fd92564a9a8df7b6a34fbcbd6071df5b472cf4a4c2036a40101f80a0b | MATLAB | 10,586 | 267 | function model = stGridSolve(params,data,prediction,trends,ntrends,dcid,slice,nSlices)
% remove trends from data so they do not count in the percent variance
% explained calculation later.
data(isnan(data)) = 0;
data = single(data);
%
% % detrending
trendBetas = pinv(trends)*data;
% nChan = size(prediction,3);
nChan... |
c87a84620c1f83afab7dad6ac28c0796cd4beef097d4b68344636787d7255c7b | MATLAB | 10,604 | 331 | function [fn,saveName] = st_compareMethods(DT, params,roiList,targetModel,targetVar)
%%
if targetModel == 2
tms = {'\tau_1', '\itw', '\tau_2', '\itn_D_N', '\sigma_D_N'};
nParam = 5;
elseif targetModel == 3
tms = {'\tau', '\tau'};
nParam = 1;
end
if notDefined('targetVar')
targetVar = 'temporal';
en... |
d9fb28c174265c2749a57d1c00af72950f2675a45d19fbe71e249335b9fa3374 | MATLAB | 10,607 | 178 | %%
tuningDataPath = 'D:\MATLAB\Dura\tuningAnalysis_corrected.mat'; % _220404
if exist(tuningDataPath, 'file')
fprintf('\nLoading %s', tuningDataPath);
load(tuningDataPath);
else
dTheta = pi/6; dPct = 5; testPct = [60,95]; Nboot = 500; minNorm = 0.5; maxWidth = 60;
scalePC = cell(1,Nexpt); PCan... |
485a5d1b1a1eee0af0bd102320cadbbacffcf500c409cfef0420b4e12143b423 | MATLAB | 10,698 | 323 | % EEGfMRIPav_cbm_fit.m
% This is an interactive script---execute it step-by-step.
% It fits a series of computational reinforcement learning models using the
% CBM toolbox and evaluates them.
%
% EXPLANATION OF SETTINGS:
% dirs.root = string, root directory of project.
%
% OUTPUTS:
% no outputs, just plo... |
1629f31b92e7ee7d976db9c226bb573daa4dc620defd37e4fa91ff62eb58cfdb | MATLAB | 10,703 | 260 | classdef CalcVelocityRadon < CalcVelocityStreaks
%CalcVelocityRadon - Class for calculating velocity via the Radon transform
%
% The CalcVelocityRadon class is Calc class that implements all basic
% functionality related to calculating the velocity of images using the
% Radon transform algorithm. For more informa... |
509d23857a2cc56f3b61af9a2a972873fc61d458ce7db2ace75c45add9f705fc | MATLAB | 10,706 | 245 | classdef AOandAI_OO_sharedClock < handle
% Demonstration of simultaneous analog input and output with a shared clock with the dabs.ni.daqmx wrapper
%
% vidrio.mixed.AOandAI_OO_sharedClock
%
%
% Description:
% This example demonstrates how to use a class to continuously run data acquisitio... |
2729727d26b65bd4800209f80ece604a60caeb8f7fd754ee56967f83ffcc58c4 | MATLAB | 10,718 | 225 | %%%%%%%%%%%%%%%%%%%%
%TC0001 - addPenaltiesToModel
%%%%%%%%%%%%%%%%%%%%
cd 'C:/Work/MatlabCode/projects/BrainMetabolismModeling/BrainMetabolismModeling'
ecModel = load('data/MinModel.mat').minModel;
%Check that there is no penalty in the no penalty case
m = addPenaltiesToModel(ecModel, 1, 1, 1, 1, 1, true);
all(m.S(st... |
f056adce7d088f03d9506bc0b8271bf1488a74cac39df06051102364fe202f5e | MATLAB | 10,736 | 276 | function t2n_plotChannel(neuron,mcondChannel,region,outputFolder,options)
% This function plots the activation and inactivation dynamics of an voltage-
% dependent ion channel. The fits on the activation and inactivation time are
% mono-exponential, hence they should be handled with care in cases the
% channel has mor... |
277aa2f266d3ae2a6d4016311cb27dc0f1341072280dd7619ee4f9a222402139 | MATLAB | 10,742 | 302 | % HULL_TREE Isosurface/line at given distance from tree.
% (trees package)
%
% [c, M, HP] = hull_tree (intree, thr, bx, by, bz, options)
% ---------------------------------------------------------
%
% Calculates a space-filling 3D isosurface around the tree with a threshold
% distance of thr [in um]. In order to do t... |
a85e0b35b3e89bdfbb81149b0a857de06d5a42a436baa189d5efb34499054d74 | MATLAB | 10,766 | 278 | function ElectodesClassificationMatlabFuncAvgBoutInTest(unifyContextClasses ,...
NumTrees,TakeJustTheta,TakeJustGamma,matlabImpute,imputeIters, substractMouseMean, usedMouseId,LeaveOut,balanceClasses)
%LeaveOut can be simuli (of a single session) or session
rng(0)
paramsStr = ['Ntree',num2str(NumTrees),'_Unif... |
856b9e98c84ee35501971e94c74dd21ada095abd8f5e4bdb9c1cf49c87bf547a | MATLAB | 10,804 | 418 | function st_simulation_plot(gt,pt)
% gt: ground-truth table
% pt: predicted table (model estimated)
mycolor = getmycolors(1);
tmp = [];
tmp.tmodel = pt.DT.tmodel;
tmp.testData = cell2mat(pt.DT.testData);
tmp.testPred = cell2mat(pt.DT.testPred);
tmp = struct2table(tmp);
params = [];
% Check model naming conventio... |
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