sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
10c609b8de12135a132ed88466c5fd96c0085956bd74f13127b2792f746d2d45 | MATLAB | 6,240 | 143 | function WonWoffTtest3000
global StartTime FinishTime fname SpikeUnits TurnMarkerTime OneTurnTime RPegTouchAll LPegTouchAll DrinkOnArray dpath3 render...
MedPegTimeR MedPegTimeL RpegTimeArray LpegTimeArray RpegTouchall LpegTouchall WaterOnArrayOriginal WaterOffArrayOriginal...
RpegTimeArray LpegTimeArray DrN... |
4f9b0eb18b01ec91b9ff502b584c22f9cd70ee09f2687989bee6bc0d3fc7156e | MATLAB | 6,248 | 164 | function SF = spm_psc(SPMs,varargin)
% either return the maximum heights of regressors among SPMs or
% computes the percentage signal change using the information from the
% SPM.mat - if the scaling factor is not specifed, figures will pop out for
% each subject and the SF will have to be specified.
%
% FORMAT: spm_ps... |
5743d52591b889e01276d12e0065a662f2818c26f821af8fc1e830cffd70e7d6 | MATLAB | 6,248 | 156 | function [eeg_data, emg_data, fs, varargout] = bdf2mat_main(trl_num, elec_num, emg_ch, eeg_ch, filename, varargin)
%
% [eeg_data, emg_data, fs] = bdf2mat_main(trl_num, elec_num, emg_ch, eeg_ch, filename)
% [eeg_data, emg_data, fs, emg_onset_sampl, emg_onset_time] = bdf2mat_main(trl_num, elec_num, emg_ch, eeg_ch, filen... |
35dcc7f9e8bcddddbb1888ccb0321b7096bc0a40d648a61a88100950ee3ecfb8 | MATLAB | 6,254 | 123 | function update_entropy_axis(app)
%%update_entropy_axis plots the result of the entropy analysis
cla(app.ax_entropy1)
cla(app.ax_entropy2)
cla(app.ax_entropy3)
cla(app.ax_entropy4)
int_idx = find(strcmp(app.popup_int_entropy.Value,app.popup_int_entropy.Items));
int_name = app.popup_int_entropy.Value;
channel_idx = fi... |
580d6e59748ebe30c901202b7a3064eb6b205cd9bf0866e244be18de61d875e0 | MATLAB | 6,259 | 151 | function plotIndividualEntire(PreprocessedData,allTrials,setupParam,FitCurve)
tempX = PreprocessedData.DecayAdj.Dts;
allTrialsID = allTrials.ID;
if setupParam.CompareGroups == 0
figure(1)
%signal
subplot(3,3,1)
title('Raw Signal')
hold on
plot(tempX,Prep... |
674891cfb95c760c610bc39e71631e5cca8b60c73f72c08b0eb5b3afdc1e21e7 | MATLAB | 6,265 | 150 | function layers = cnnsetup(layers, isgen)
assert(strcmp(layers{1}.type, 'i'), 'The first layer must be the type of "i"');
n = numel(layers);
for l = 1 : n % layer
if strcmp(layers{l}.type, 'i') % scaling
assert(isfield(layers{l}, 'mapsize'), 'The "i" type layer must contain the "mapsize" field');
if (... |
d35f2d8acaabf452c360a4d1c1eb7de94d9f8b1eeacdc78567118a5e3bd8fc8f | MATLAB | 6,270 | 162 | function [layers, pred] = forward(layers, passnum)
n = numel(layers);
batchsize = size(layers{1}.a, 4); % number of examples in the minibatch
for l = 1 : n % for each layer
if strcmp(layers{l}.type, 'i')
if (passnum == 3)
continue;
end;
if (isfield(layers{l}, 'mean'))
layers{l}.a = ... |
3bba453b0d78e3c7ecd362dd62c9a6640745f11f1f34021fe7c5f6d682dd6268 | MATLAB | 6,274 | 145 | function WonWoffTtest2000
global StartTime FinishTime fname SpikeUnits TurnMarkerTime OneTurnTime RPegTouchAll LPegTouchAll DrinkOnArray dpath3 render...
MedPegTimeR MedPegTimeL RpegTimeArray LpegTimeArray RpegTouchall LpegTouchall WaterOnArrayOriginal WaterOffArrayOriginal...
RpegTimeArray LpegTimeArray DrN... |
b1d1bd94c03816d1d04de10bac1ea8a52a1dba76200ccb27f67f4148b6b45d32 | MATLAB | 6,287 | 146 | function out = getFiring2ACh(units, beh)
% Align firing rate of units to peaks and troughs of ACh photometry signal
%
% out = getFiring2ACh(units, beh)
%
% INPUTS
% 'units' - structure containing spike times for units and recording ID,
% for matching to behavioral data in 'beh'
% 'beh' - structure co... |
36b5881ad33fdafb1d01b111f36b5ae0cc8def86f1323811bde63be602c33f4b | MATLAB | 6,289 | 198 | function out=import_wcp(fn, varargin)
%IMPORT_WCP Import WinWCP files.
% OUT=IMPORT_WCP(FN) imports data recorded with WinWCP, where FN is a
% string containing the filename. OUT is the output struct containing the
% following fields:
% S Cell with C elements, where C is the number of channels.
% ... |
a668d8eb56b00f46ad6a9c72e6c67a133b4c1d9ac5bcb71a815940f17daf380d | MATLAB | 6,291 | 159 | %% Precomputing on Planes: Give input, compute firing rates as functions of inputs
% Output: save([SaveFolder 'MFpV_LDE_' num2str(InputCtgr) '.mat'],...
% 'f_EnIOut','meanVs','SteadyIndicate','FailureIndicate','L4ERcrd','L4IRcrd')
% Input: InputCtgr: Choices from 1-3. Orthogonal, suboptimal, optimal
%... |
2141525cb7ce963afd8dd1fd15cb81b6a8a09f5036536e30bf93b1ac6dcba42a | MATLAB | 6,298 | 196 | function [Bursts, Diagnostics] = aggregate_cycles_into_bursts(CycleTable, CriteriaSet, KeepTimepoints)
arguments
CycleTable
CriteriaSet
KeepTimepoints = []
end
% goes through all peaks found, puts them into structs according to
% whether they make up a burst, or if they are on their own.
% Peak_Thresholds i... |
bc9e8a2d8705145666557bf8c50baacdb2f79c1997b7409ea14ba4df0e6b5640 | MATLAB | 6,304 | 209 | function conc = correct_water_content(conc,scale_fact,ttype)
if ~exist('ttype')
ttype=0;
end
%ttype=0 spectro dystonie
%ttype=1 spectro hypocampus
%ttype=2 spectro 7T gosia
if ~exist('scale_fact')
scale_fact=1;
end
if ~isfield(conc(1),'fgray')
fprintf('no field fgray so no correction ...\n');
return
end... |
3a0d855e4c821c42f00385c59facc8b8b89e1d935f308586938446beff4b1b4a | MATLAB | 6,305 | 196 | close all
clear
[fname,chemin]=uigetfile('*.*','MultiSelect','on');%loads file
if isequal([fname chemin],[0,0])
return
else
dir_result=[chemin,'Resultats_Ensemble\'];
if (exist(dir_result))==0
mkdir(dir_result)
end
%chemin='F:\Donnees_Experiences_general\Analyse_Agnes_stanislav1401... |
69a2308f0564e5e82a4c6014a48fd31af5e96b89f1d60883437df1e9070e427f | MATLAB | 6,313 | 243 | %PGDRAW Sample from the PolyaGamma distribution
% X = pgdraw(...) generates random variates from PG(1, z)
%
% This file implements the Polya-gamma sampler PG(1,z).
% This is a MATLAB implementation of Algorithm 6 in PhD thesis of Jesse
% Bennett Windle, 2013
% URL: https://repositories.lib.utexas.edu/bitstr... |
de566b1e682797bdf30e848833deacb2e596551fe443d57ee21a4f752bdbec74 | MATLAB | 6,314 | 158 | function [this_fitMat_mm, thisRot, rotMatDisplacement_mm] = getAffmatsForHost(this_fitMat,twix_obj,reconPars)
% this_fitMat = fitResult.MPos_cent.mats;
% reconPars.swapDims_xyz
%% Try to establish slice orientation - this has not been rigourously tested for all possible orientations...!
sNormal = twix_obj.hdr.MeasYa... |
e9479e8cc3eaeacde9962251de11fc8ece444d1737d485052caf24052933b700 | MATLAB | 6,316 | 122 | % Raster plot of baseline activity
% Chang et al., Fig 2a
% Load data
load('E:\CM_NeuralActivity_Analysis\ROC\block_selectivity\Unit_AUC_BP_100msBin_1000nBoot') % block selectivity
load('E:\seFilePaths_SiProbe'); % File paths for MSessionExplorers
load('E:\CM_NeuralActivity_Analysis\Unit_quality_metrics\filter'); % U... |
88daef6977d31a40bf5e61b05b7d2833f8a469144f3f99c92ec2b6d6f7878a36 | MATLAB | 6,319 | 205 | function Randomizer_ShowDataSet2(handle)
% Copyright 2009-2018 Thomas Koenig
% distributed under the terms of the GNU AFFERO General Public License
figure(handle);
uitableNames = uitable;
out = get(handle,'UserData');
pos = [0.05 0.10 0.45 0.85];
set(uitableNames,'Data',out.Names,'ColumnName',out.conds,'Units','Norm... |
20f7429be5061ca371170d54d06a65bef5ab816c2531f9c4e532104739bcdc07 | MATLAB | 6,324 | 246 | %PGDRAW Sample from the PolyaGamma distribution
% X = pgdraw(...) generates random variates from PG(1, z)
%
% This file implements the Polya-gamma sampler PG(1,z).
% This is a MATLAB implementation of Algorithm 6 in PhD thesis of Jesse
% Bennett Windle, 2013
% URL: https://repositories.lib.utexas.edu/bitstr... |
4f884f6d8c713fea7684d39e888e273da6239a84e09ca3c9cedd1665157cbe78 | MATLAB | 6,325 | 148 | function WaterOnOff20190705
global StartTime FinishTime fname SpikeUnits TurnMarkerTime OneTurnTime RPegTouchAll LPegTouchAll DrinkOnArray dpath3 render...
MedPegTimeR MedPegTimeL RpegTimeArray LpegTimeArray RpegTouchall LpegTouchall WaterOnArrayOriginal WaterOffArrayOriginal...
RpegTimeArray LpegTimeArray D... |
d466f6fbff2acee4b3f3299968a73a8580b72c85d3257379965a9e63a524d41f | MATLAB | 6,327 | 167 | function varargout = Phase_Features(phase_sig1, fs, Th, varargin)
%
% varargout = Phase_Features(phase_sig1, fs, Th)
% varargout = Phase_Features(phase_sig1, fs, Th, phase_sig2)
%
% *************************************************************************
% * Calculating popular phase related quantities, i.e. Phas... |
60560b1fcc955d7c401b0183c50f2d05829d43c0a063b36600d3765a1d40e662 | MATLAB | 6,332 | 166 | classdef (Hidden) mat_file_sdk < handle
%
% Class:
% adi.mat_file_sdk
%
% This should expose the SDK in a similar manner as the regular SDK
% but it should do it from a mat file.
%
% The h5_file_sdk borrows implementations from this class and then
% changes some of the me... |
5e116ed36845d18801c768467ca59d1fb19beab6b2f76afda849b69ef210636f | MATLAB | 6,336 | 165 |
function senpai_prune(parcellation,varargin)
% senpai_prune
% This function runs a GUI that displays, one by one, all the neurons
% in the input parcellation. The GUI is intended to allow the user to
% assess eventual misassignments. It is possible to mark unrecognized
% neural cores that ca... |
569d49598e96ac5df7177fe750b71483539d59464ad3c866ec0196d2171b184c | MATLAB | 6,339 | 182 | classdef (Hidden) handle_manager
%
% Class:
% adi.handle_manager
%
% This class keeps track of open files and attempts to prevent
% closing a file that for some reason is not actually open.
%
% This class is called directly by functions in adi.sdk
%
% It is only used ... |
25a6b67010babb6f3cc2f6ce2c57017d318ba09585ffac6e721fe522dc2952cc | MATLAB | 6,341 | 174 | % _skipMoCo version strips out all MoCo to speedup getting through ASPIRE
% pipeline for testing
load(cleanupFile)
run([RETROMOCOBOX_PATH '/addRetroMoCoBoxToPath.m']);
addpath(SPM_PATH);
run([ASPIRE_HOME '/aspire_startup.m']);
%% Run ASPIRE on both noMoCo and MoCo
data.read_dir = tempDir;
data.filename_mag = fu... |
4071fd8dff533ab895ef047e7d3af1f104e65e93b14703259e1d49c51a088fe3 | MATLAB | 6,342 | 192 | new_path = '/Users/rsameni/Documents/GitHub/OSET/external/MutualInformationICA';
current_path = getenv('PATH');
setenv('PATH', [new_path ':' current_path]);
%The first step is to compile the C-source codes into executable files, which will be then called be the MATLAB Programms
% for example (under linux)
% icc -c... |
fa4a6fa1e271e992587728bab80dbcb12ec0b2adb9616a57b00375904f1cb6c6 | MATLAB | 6,343 | 136 | % Test script for an ECG denoiser based on a data driven MAP estimator in
% the phase and time domains
close all
clear
clc
% Load data
% datafilepath = '../../../../DataFiles/Physionet.org/files/ptbdb/1.0.0/'; % Change this path to where you have the .mat data files
% fs = 1000.0; % Sampling frequency of the data (pu... |
ac2144af2b2910571e407a11f14780f108f5cb428829cbbc6c13232b5acbb2a2 | MATLAB | 6,344 | 163 | function [ecg, phi] = ecg_gen_afib(N, fs, params, phase_bins, varargin)
% ecg_gen_afib - Synthetic atrial fibrilation ECG generator
%
% Method: Generates synthetic ECG signals by generating Gaussian mixture
% models with stochastic deviations in the phase domain, followed by
% inversion of the polarity of the T-wa... |
9039558895418a5f7af37bb9fbb78cbc9a8aa385cf97f5f96ba341ed354fc0a9 | MATLAB | 6,359 | 218 | %This function performs the MCMC for pibdfc and stores the output into the
%structure: post_draws
%% Input [T timepoints, R regions, N subjects)
% Y - TxRxN array of the observed data
% xDat - TxKxN array of the exogenous variables
% S - int number of connnectivity states
% Z_prior - SxS matrix of the prior means for ... |
ac6943f87df2650f86a3334cb7fd5756e63b323a0320b5754fdcee4b9cad6568 | MATLAB | 6,363 | 139 | function [rhos,pvals,spatial_system,flag] = virtualRemovalSP(feature,coordinates,soz)
% computeSPMap Applies a perturbation on the spatial system by virtually
% removing the SOZ as described in the original manuscript.
%
% [rhos,pvals,data] = virtualRemovalSP(feature,coordinates,soz) takes as
% input the cha... |
3e1e955dffb85aa02601fb1dec5b5b45f6cd6a3d184b50f56316d69676ac0e12 | MATLAB | 6,373 | 193 | function [Thresh]=mnl_EvaluateColourDistribution(nDim,efPxTrace)
%% Option 1 - Evaluate the range of colours in the traces - cumulative plot
% Possion distribution at various copy numbers
Spreads=[0.5 1 2 4 6 8 10];
NumPoints=size(efPxTrace,2); %Do the same number as the number of somas
szSp=size(Spreads,2);
% Generate... |
8520479dbe97d8584e7e8bb0c4043536855ff56e710176b0bfd2f28f34d45db5 | MATLAB | 6,381 | 194 | function [Dimension,ThresholdsPerDim]=mnl_EvaluateNdimensions2(maxDim)
Spreads=[0.1 0.2 0.5 1 2 4 6 8];
%NumPoints=(2^maxDim)-1; %If we can discriminate On and Off cells
NumPoints=10000;
szSp=size(Spreads);
%% Generate Poission Distributions For Each Set of Dimensions
for i=1:maxDim
[Dimension(i).Cells]=mnl_Generat... |
abdb01efaa8f031ce3ed57e5bd5cd870453609fcfa55ff4753c6cd37d73e2d3e | MATLAB | 6,381 | 153 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This script plots fitted models to different groups of treated animals,
% using growth and dissemination parameters from untreated animals reported
% in [Benzekry et al., Cancer Res, 2016] but setting the primary tumor
% growth rate to zero... |
4d712394cc2e118e6efcb8a422a67ccb6a1dd4e056cd7be198f6259a3f1c5627 | MATLAB | 6,382 | 136 | function out = getSynchrony(units, beh)
% Compute pCIN-pCIN cross-correlogram
%
% out = getSynchrony(units, beh)
%
% INPUTS
% 'units' - structure containing spike times for units and recording ID,
% for matching to behavioral data in 'beh'
% 'beh' - structure containing behavioral data, including on... |
f0cd775c50b7948960f8ee01460a61348ffbe11d0bee828ffa9baa2627632a07 | MATLAB | 6,383 | 49 | % Cardiac model ToR-ORd
% Copyright (C) 2019 Jakub Tomek. Contact: jakub.tomek.mff@gmail.com
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the Licens... |
ca9af2e23688fcaa3ecc836480925b54d31c32483701a1de66594119f817c7de | MATLAB | 6,384 | 166 | % 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 Neuroscience,... |
8b19238d48b0a660907ffc147b528ea128d5fede7509ea09201a18d14a392e8d | MATLAB | 6,385 | 181 | %impoved HMM code for batch processing by Yunxiang Zhang (yxzhang@gmail.com)
%last updated Nov 9th, 2021
function HMMint=Hmmtrace(filename)
%Import the observation sequence
intis=readmatrix(filename);
intis1=intis(:,2)-intis(:,3);%background subtraction-pay attention to definition of each column
intis1(find(isnan(inti... |
63f31a9625190606254edd9fbeffa695e738f7faea29c87dfd0db15b0c18d837 | MATLAB | 6,387 | 164 | function [ecg, phi] = ecg_gen_inv_t_wave(N, fs, params, phase_bins, varargin)
% ecg_gen_inv_t_wave - Synthetic inverted T-wave ECG generator
%
% Method: Generates synthetic ECG signals by generating Gaussian mixture
% models with stochastic deviations in the phase domain, followed by
% inversion of the polarity of... |
266be575a03d55e535aa3597b8c5aef9b49ebd8730fdc003f95bc5f84a00e89f | MATLAB | 6,388 | 257 | clear
clc
%% add togethter meny WF files
[filename 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.
datafile = fullfile(path, filename); %save path
%%
CTP = [];
for i = 1:length(datafile)
% CTparameters.
... |
71adda78a043db46cc5ee361461e5aaa0c7c9c405ff65778cca7815f32de5fc5 | MATLAB | 6,391 | 184 | function [y1,y2,Pbar,Phat,PSmoothed,Kgain] = KFNotch(x,f0,fs,varargin)
%
% [y1,y2,Pbar,Phat,PSmoothed,Kgain] = KFNotch(x,f0,fs,Q,R,gamma),
% Removing Power-Line noise using a linear Kalman filter and smoother
%
% inputs:
% x: vector of noisy signals contaminated with power-line
% f0: the notch frequency
% fs: s... |
32262a0a09a0ef83ca9a970f0dfc738b39cf0d566e35c1037f7d105625e8a56e | MATLAB | 6,402 | 165 | function M = smc_oopsi_backward(S,V,P)
% this function iterates backward one step computing P[H_t | H_{t+1},O_{0:T}]
% Input---
% Sim: simulation metadata
% S: particle positions and weights
% P: parameters
% Z: a bunch of stuff initialized for speed
% t: current time step
%
% Output is a single structure ... |
db6659b936f9b8a9a23408560f5db82e10ea18ea8773971e2081d96c06c05269 | MATLAB | 6,411 | 118 | function update_entropy_axis(app)
%%update_entropy_axis plots the result of the entropy analysis
cla(app.ax_entropy1)
cla(app.ax_entropy2)
cla(app.ax_entropy3)
cla(app.ax_entropy4)
int_idx = find(strcmp(app.popup_int_entropy.Value,app.popup_int_entropy.Items));
int_name = app.popup_int_entropy.Value;
channel_idx = fi... |
4a2d4b3ac5b8c168747c63b7b89244cd8c632cd23bf6c816da21af8f064d7028 | MATLAB | 6,413 | 161 | function varargout = RaguCollapseXAxis(varargin)
% RAGUCOLLAPSEXAXIS MATLAB code for RaguCollapseXAxis.fig
% RAGUCOLLAPSEXAXIS, by itself, creates a new RAGUCOLLAPSEXAXIS or raises the existing
% singleton*.
%
% H = RAGUCOLLAPSEXAXIS returns the handle to a new RAGUCOLLAPSEXAXIS or the handle to
% t... |
70aa9fa6dbd316ff6885dde13dc6ce3601ae80e5c80d04a8a23e8f25f67db24f | MATLAB | 6,418 | 135 | function AnalyzeResults16_SpectralFeaturesFunction(Rdata, Rtextdata, outputfileame1, outputfileame2, per_subject, ntrees)
% close all;
% % parameters
% % % % logfileame = 'SVMOptimizedParamters03.txt';
% outputfileame1 = 'Submission55.csv';
% outputfileame2 = 'Submission55_unbiased.csv';
% % % bins = [50 75 100 120 180... |
ad8455786907a4e99df86d2bbb42c22c41fb2e329457b711110c0cf9ea7bf02f | MATLAB | 6,421 | 133 | % This program is intended to extract
%
%
% time series of BOLD signals from session2
%
%
% by Hiro Taiyo Hamada, Araya Inc.
addpath(fullfile(pwd, '/programs'))
% session2Day
datapath_session2nd = fullfile(pwd, '/data/session2');
listing_tph_session2 = makeList(datapath_session2nd , '*TPH*');
listing_cont_sess... |
6708bffa8850aae3e2f688561a47dccc08c870cb187137223610176e27f84ff4 | MATLAB | 6,434 | 171 | %% Calcium Imaging Analysis Operator (manually select ROIs)
% CIAO_02b_selectROIs allows you add a manual selevtion regions of
% interest.
% We assume that there is a 03_Data_Processed folder within the main animal
% folder that contains a mat-file for each stimulus, the meta_info.mat
% file, and the img_segmentation.m... |
606f3f968f322ad7910bd471b7870a38193c6fa625bbc4f80b0edc4602e622a7 | MATLAB | 6,437 | 165 | % this script calculates the variance of FWF and T1w in
% NAWM of MS patients and check its correlation with significant behavioral
% scores and clinical parameters
clearvars
close all
addpath(genpath('/storage/stella/MATLAB_toolboxes/'));
addpath('/storage/stella/Analysis/matlab_scripts/');
cd('/storage/stella/Analy... |
66d3f96dc2acdfddd676ad19ba6c14b42668877ecfbc07f0bff06c35ca626a4b | MATLAB | 6,441 | 162 | %% Precomputing on Planes: Give input, compute firing rates as functions of inputs
% Output: save([SaveFolder 'MFpV_LDE_' num2str(InputCtgr) '.mat'],...
% 'f_EnIOut','meanVs','SteadyIndicate','FailureIndicate','L4ERcrd','L4IRcrd')
% Input: InputCtgr: Choices from 1-7: 6 division of the angle.
% ... |
4693591981ad7555b4729c8c5f01f362b70d189c0e75e0ad9accc943040ef234 | MATLAB | 6,444 | 109 | %% NOTE: Add ambient, add synaptic failure, maybe change ref setup
%% Great Change here:
% Adding E-to-E synaptic delay for 1 ms
% EEDlyRcd is an N*T sparse matrix, each column record the number of
% pending kicks that is waiting, with T_i*dt ms remaining. Each raw record
% all the pending E kicks for one E neuron
... |
44ebae07dddf2e1177b362b9c5f98717a78e52547924a74d6f687c51c4d7f242 | MATLAB | 6,449 | 115 | clear;
close all;
clc;
addpath 'G:\Sameni\Documents\Papers\Journal 40 (Spline ECG Filtering)\CODES'
randn('seed', 0);
rand('seed', 0);
% % % dbstop if warning
type = {'Normal', 'Arrhythmia', 'PTB'};
for ttp = 1 : length(type),
switch(type{ttp})
case 'Normal'
pth = 'J:\ECGData\Normal';
... |
71dbe74c4963dc4469a21eaaa4d2ad04d828ab30bc86c6daa75e6c3bbf462673 | MATLAB | 6,457 | 180 | %-------------------------------------------------------------------------%
% This script can be used %
% a)to change the format of images in order to have the input data for the%
% python script %
% b)to visua... |
7ba1096951dee7743d7e9a5df7ee7724fc1861423b30676753a4f3f6fcb7d0a4 | MATLAB | 6,458 | 183 | function [volume_outliers, slice_outliers] = spmup_spatialcorr(varargin)
% look at the time series per slice, and compute correlations
% this allows testing that images are alike and spots drop out easily
%
% FORMAT: [volume_outliers, slice_outliers] = spmup_spatialcorr
% FORMAT: [volume_outliers, slice_outliers] = sp... |
a5994d7a51286f9a155735751cf925424bcacb3c14bc760a36ffa33d0694cbe0 | MATLAB | 6,458 | 191 | % Test program for maternal ECG cancellation using EKF and EKS
%
% Dependencies: The baseline wander and ECG filtering toolboxes of the Open Source ECG Toolbox
%
% Sample code for testing naive maternal template subtraction technique
%
% Reza Sameni (C)
% Email: rsameni@shirazu.ac.ir
% Web: www.sameni.info
%
... |
752079207b5b0b390f2ffb4021913d00a3894e072d14fda902ee01a3d6b3cccf | MATLAB | 6,459 | 175 | function SpikeDataAnalysis
clear all;
close all;
% SpikeDayMatrix//útABgraÛèÔA89or89ÛèÔACÛèÔAeg[hx8i>RatioARcellj
%@AllSpikeDataÌñ@èÄ
TargetDirectory='C:\Users\B133_2\Desktop\CheetahWRLV\119';
cd(TargetDirectory);
% cd('C:\Users\B133_2\Desktop\CheetahWRLV\119');
... |
757faaa5527f265421009fab9821b5e1c394c9356219a98ce724249f97e915dc | MATLAB | 6,461 | 113 | function [FinalIm,ConInc,FinalCompLevel,datestamp,NumAttempts] = IncompleteLetterLoopFitFun(ImWidth,ImBorder,PropComp,CheckSize,WhichLetter,NumImages,Tol,MaxAttempts);
% [FinalIm,ConInc,FinalCompLevel,datestamp,NumAttempts] = IncompleteLetterLoopFitFun(ImWidth,ImBorder,PropComp,CheckSize,WhichLetter,NumImages,Tol,MaxAt... |
0ea741297e3425c6006722310e7bab5fad52aefc263aa66005c64a89723e3648 | MATLAB | 6,470 | 165 | close all;
clear;
clc;
resultfname = 'testProcessSeizureEEGAllSpectralFeatures4.txt';
resultfname_wavelet = 'testProcessSeizureEEGSpectralWaveletFeatures4.txt';
% this is the same as the previous one; except that the feature vectors are
% kept in the frequency domain (look at F, F1, and F2 and how they are
% transposed... |
630fe53c82a37e0a0bea1d0b590cc26516ed664038108736d21e005e2b3ef3f6 | MATLAB | 6,470 | 189 | % Load data
clear
load gm1/results_gm1.mat
load gm2/results_gm2.mat
load Cv1/results_Cv1.mat
load Cv2/results_Cv2.mat
load R1/results_R1.mat
load R2/results_R2.mat
load VTH1/results_VTH1.mat
load VTH2/results_VTH2.mat
color_VTH1 = {'#362A15', '#C39A54'};
color_VTH2 = {'#144814', '#55D455'};
color_gm1 = {'... |
739fdcb87751cb40cdda131de9a1efd5f6db4ce109a2bca7bc1c4adbc4ad6891 | MATLAB | 6,471 | 232 | % Save NIFTI or ANALYZE dataset that is loaded by "load_untouch_nii.m".
% The output image format and file extension will be the same as the
% input one (NIFTI.nii, NIFTI.img or ANALYZE.img). Therefore, any file
% extension that you specified will be ignored.
%
% Usage: save_untouch_nii(nii, filename)
%
% nii -... |
9c2425a9ecc944bb65df2d95404d353b11577b6d63d4ad5006f3440c4e0dfc03 | MATLAB | 6,472 | 168 | function [y, h] = white_noise_wiener_filter(x, fs, nvar_est_mode, params)
% WHITE_NOISE_WIENER_FILTER - Designs and applies a Wiener filter to suppress
% white noise in a signal with estimated or provided noise variance
%
% Inputs:
% x - Input signal
% fs - Sampling frequency (Hz)
% nva... |
35e6878531fe411731843a26dd747d010bb3bad824112255830760cd44078991 | MATLAB | 6,479 | 162 | %% Feature Explorer ********************************
% Script to plot boxplots, pdfs and explore effects
%
%% Load Tabel **************************************
Import_FinderSpiker;
button = questdlg('Paired data?','Data');
Load_Default_Directories;
Dirpwd=pwd;
slashesindx=find(Dirpwd=='\');
CurrentPathOK=[Dirpwd(1:sla... |
c2bf406b31e598784383bc0aed70b61829823e185503177fa8c1a1660dadef63 | MATLAB | 6,482 | 166 | close all;
clear;
clc;
% parameters
subject = {'Dog_1', 'Dog_2', 'Dog_3', 'Dog_4', 'Dog_5', 'Patient_1', 'Patient_2'};
ffs = 160; % resample rate
f0 = 60; % powerline frequency Hz
Q = 30; % notch filter Q-factor
epochlen = 60; % epoch length in seconds
epochoverlap = 50; % overlap between epochs in seconds
sourcenum =... |
afdf6b47a0a3d6eac5886d57c178ee366505c3be3a7370ace27d2acec2ffd9d4 | MATLAB | 6,490 | 224 | % The deflation algorithm and double KF for fetal denoising
% Copyright Reza Sameni, 2018
% Created 2008
% Modified June 2018
%
clear;
close all;
load('FOETAL_ECG.dat'); data = FOETAL_ECG(:,2:end)'; time = FOETAL_ECG(:,1)'; clear FOETAL_ECG; fs = 250;
L1 = size(data,1);
L2 = size(data,2);
bins = fs;
% R-... |
34c64b75a7ea860a93e7a479483c758f569c93cb228b962d4136a8f6f7fb9dbb | MATLAB | 6,497 | 182 | function [score1, score2, peaks1, peaks2, rank1, rank2] = sqi_multi_matched_filter(x,f,fs, varargin)
% sqi_multi_matched_filter - Signal quality index based on three fixed
% template matched filter output envelope scatter and average waveform standard
% deviation
%
% Usage:
% [score1, score2, peaks1, peaks2... |
638f36b5dcd1c584f9c521228febd2c893d56e5d73d251726d8c27ea4b5d954c | MATLAB | 6,513 | 226 |
function [cluster_res] = cluster_spikes(index, spikes, par,threshold)
par_inp = par; %%
min_spikes4SPC = 16; % if are less that this number of spikes, clustering won't be made.
%default config
par_input = struct;
parallel = false;
make_times = true;
make_plots = true;%make_plots = true
resolution = '-r150';
sav... |
660af4c50df19eb4dc95e0ae745dde27f28a0700b486e6c9dfa7f94e21c7e686 | MATLAB | 6,515 | 188 | function success = revert(obj, revertTo)
%REVERT Delete history
success = 0;
if revertTo < 0 || revertTo > obj.nEdits
return;
end
% load history from file
if exist(obj.hCfg.histFile, 'file') ~= 2
error('history file %s not found!', obj.hCfg.histFile);
end
fidHist = fope... |
fc8e1c8d6c56550b9c4d8570ee3f9b4b566bea054e6acc8d73ce32653ef65d45 | MATLAB | 6,515 | 212 |
%% load data
clear
p = params_2DAA;
fpath = fullfile(p.processed_data_dir,'allData.mat');
load(fpath,'tis','bvs','traces','evs')
[cols,alpha] = chooseColors;
z_cutoff = 1.96;
saveFigs = 1;
%% add action start to TIs for non-aa sessions
for sub = 1:p.nSubjects
for ses = [1 10 11]
spd_diff = diff([bvs{sub... |
edc3874d642ea978f181ef91ffacd901038107184acb813622aac0a89e5398bd | MATLAB | 6,519 | 226 |
function [cluster_res] = cluster_spikes(index, spikes, par,threshold)
par_inp = par; %%
min_spikes4SPC = 16; % if are less that this number of spikes, clustering won't be made.
%default config
par_input = struct;
parallel = false;
make_times = true;
make_plots = true;%make_plots = true
resolution = '-r150';
sav... |
561df4fc4e5c8f31ed774764e16f5508679951ec9115690555a80603c5e2096c | MATLAB | 6,521 | 157 | function corre_report(app)
[int_idxs,~] = listdlg('PromptString',{'Please select intervals ',...
'to be plotted/saved.',''},...
'SelectionMode','multiple','ListString',app.popup_int_spect.Items);
[form_idxs,~] = listdlg('PromptString',{'Please select fileformat ',...
''},...
'SelectionMode','multiple... |
dbd271a106808d82f359b48b0a087ef671361964b4d6b04ab16a0f8b9cd5e1ef | MATLAB | 6,524 | 160 | function corre_report(app)
[int_idxs,~] = listdlg('PromptString',{'Please select intervals ',...
'to be plotted/saved.',''},...
'SelectionMode','multiple','ListString',app.popup_int_spect.Items);
[form_idxs,~] = listdlg('PromptString',{'Please select fileformat ',...
''},...
'SelectionMode','multiple... |
665982edee8b025ccc6fbe518e6a7899782e2ed3d4b1d6da9713461adacb7ec4 | MATLAB | 6,527 | 173 | function varargout = pdftops(cmd)
%PDFTOPS Calls a local pdftops executable with the input command
%
% Example:
% [status result] = pdftops(cmd)
%
% Attempts to locate a pdftops executable, finally asking the user to
% specify the directory pdftops was installed into. The resulting path is
% stored for future refere... |
a5ecf1aea67cfff0d8f812d16f75778def478c3d86f1de858c1afc220d01a070 | MATLAB | 6,531 | 146 | %%This script calculates the average cell activity and saves the data in
%%the allTraces variable. Run the extractBehaviorData to pull the bins
%%data used in this trace.
%%James Hyde 3/21/18
function [allTraces] = averageAllCellsFunct(bins, treat, start, startTime, stopTime, normal, normalWindow, baselineBehavi... |
57f10aeaa5657167f87cff9da958f6f8dcbf36fb7f9929782379be40bdc03b10 | MATLAB | 6,537 | 279 | function [c,imap,xm,ym] = dsp3DMap(map,ChanPos,varargin)
% dspCMap - Display topographic scalp maps
% ----------------------------------------
% Copyright 2009-2011 Thomas Koenig
% distributed under the terms of the GNU AFFERO General Public License
%
% Usage: dspCMap(map,ChanPos,CStep)
%
% map is the 1xN voltage map t... |
fa041fb675047c6f5c93e921d9da3c7249780ba946f4e8a72e247af3094e65a3 | MATLAB | 6,537 | 161 | function [CB_Vertices,Pixels0,Pixels1] = Find_CB_Vertices(Im,CB_Perimeter,CB_Pixels,Scale_Factor,GS2BW_Threshold,Plot1)
% TODO: add a step that finds the best perimeter point to start with.
% Plot1 = 0;
% [CB_Pixels,CB_Perimeter] = Detect_Cell_Body(Im,0.9,Scale_Factor,1);
Pixels1 = [];
Pixels0 = [];
Smoot... |
07463dbb2438b86d94ef4cbb0566a060fbb94b9a8cc9940b56cdbfe9fe5ccb9f | MATLAB | 6,540 | 213 | function [nCIJtree CIJtree mdeg globalcosteffmax costmax E]=threshold_omst_gce_wu_very_fast(CIJ,flag)
% threshold_omst_gce_w Optimizing the formula GE-C via orthogonal MSTs.
%
% [nCIJtree CIJtree mdeg degree vector cost ]=threshold_omst_gce_wu(CIJ)
%
% This function thresholds the connectivity matrix by... |
9ac5ca919ce74bce0e903c665ad9bd61e0d66c65daaa50aaf57502cad968f3e6 | MATLAB | 6,541 | 191 | % compute width etc. for single cluster EPSP
datarange = [3,22];%1:length(data);
%%
for i = datarange
if isempty(data(i).EPSP_singleclust)
continue
end
data(i).amp_single = [];
data(i).halfwidth_single = [];
data(i).maxdv_single = [];
data(i).area_single = [];
data(i).risetime_singl... |
6e9c8906ba11e6d38ce2fc4bcd1bf01c225415b0c4c6ab334ff0826315706220 | MATLAB | 6,543 | 175 | function varargout = Ragu_LoretaOptions(varargin)
% RAGU_LORETAOPTIONS M-file for Ragu_LoretaOptions.fig
% RAGU_LORETAOPTIONS, by itself, creates a new RAGU_LORETAOPTIONS or raises the existing
% singleton*.
%
% H = RAGU_LORETAOPTIONS returns the handle to a new RAGU_LORETAOPTIONS or the handle to
% ... |
02d0ed65954be2bd4dc109964ff8c65342b61d75d80b0e349bad36f12e40373c | MATLAB | 6,544 | 135 | function AnalyzeResults17_SpectralFeaturesFunction(Rdata, Rtextdata, outputfileame1, outputfileame2, per_subject)
% close all;
% % parameters
% % % % logfileame = 'SVMOptimizedParamters03.txt';
% outputfileame1 = 'Submission55.csv';
% outputfileame2 = 'Submission55_unbiased.csv';
% % % bins = [50 75 100 120 180 250 300... |
cbb694f364bc3f0a03e479b79a9770eb4c04102d0ff425e1607fd8bf95bfd796 | MATLAB | 6,551 | 195 | function varargout = ZoomRotate(varargin)
% ZoomRotate
%
% Allows the user to zoom the display, change the speed of rotation, and
% spin the current axes.
%
% Copyright Benjamin Cowley, Matthew Kaufman, Zachary Butler, Byron Yu, 2012-2013
% ---GNU General Public License Copyright---
% This file is part of DataHigh.
%... |
b26716d1aa2122cd979c640f6b26da02b200d9345f9b7efe83bc8f03b3d14b8f | MATLAB | 6,566 | 63 | clear
cd D:\Canada_2020\UK_biobank\reports
minimal=readtable('minimal_ukb44677.csv');
FI=readtable('D:\Canada_2020\UK_biobank\reports\ordered\FI.csv');
FI(isnan(FI.FluidIntelligenceScore20016_0_0),:)=[];FI.eid=FI.f_eid;FI.FID=FI.f_eid;
%horzcat(FI.f_eid(~isnan(FI.FluidIntelligenceScore20016_0_0)),FI.f_eid(~isnan(FI.Flu... |
8606e64a457d4ca599458ffe1803ab3027f7842f342898917878d69fd1ff9605 | MATLAB | 6,571 | 191 | function [pmat_td, pmat_gr, reest] = TM_hierarchical(sbj_id, mode, beta, delta, epsilon, gamma, datdir)
%% data load
game = [];
dirt = []; % south:1, east:2, west:3, north:4
resp = []; % left:1, forward:2, right:3, 4: listen
tigroar = [];
varnames = {'game','dirt','tigroar','resp'};
Nses = 4;
for s = 1:Nses
if ... |
ff0adc46279a2180a2c15c72828859e3494bab168debc14f9c080a4b4fabcec4 | MATLAB | 6,600 | 198 | function [a_kf_prior, a_kf_post, a_ks, P_kf_prior, P_kf_post, P_ks, kf_gain, eta, a_kf_pred, P_kf_pred, innovations] = tvar_kalman_sys_identify(y, L, varargin)
% tvar_kalman_sys_identify - A Kalamn filter and smoother using time-varying
% autoregressive moving average (TV-ARMA) model.
%
% Syntax: [a_kf_prior, a_kf_... |
484982aee6fe2690a59b94dc5ad18272119f41e9ffc98361c40bd8557ed328dd | MATLAB | 6,607 | 157 | % Script to create markers based on the OptiTrack for the right index
% finger abduction task in EEG-MEG. Trigger is when finger returns to
% initial position (i.e. end of finger abduction)
% For this, we need the EEG data, MEG data, and OT data
% Zelekha Seedat
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
d8364c23a9832ee504b7b3cb4a5b14833bf984c312b474f2f027e2cdbf5ed666 | MATLAB | 6,607 | 118 | % This is the simulation as
% PaperFigurestestAllDataECGSmoother08_KnownVarianceOptimized.m, just with
% an over estimated noise factor
clear;
close all;
clc;
addpath 'G:\Sameni\Documents\Papers\Journal 40 (Spline ECG Filtering)\CODES'
randn('seed', 0);
rand('seed', 0);
% % % dbstop if warning
type = {'Normal', 'Arr... |
e98e37a2d156d285bec73a1fcf264c6fffd2b688d38d70f672d97245dd7aa7d4 | MATLAB | 6,613 | 171 | function [PR, PS, PL, PDV, PD] = Phase_Features_MultiCh(meth, sig1, sig2, fs, f0, varargin)
%
% [PR, PS, PL, PDV, PD] = Phase_Features_MultiCh(meth, sig1, sig2, fs, f0)
% [PR, PS, PL, PDV, PD] = Phase_Features_MultiCh(meth, sig1, sig2, fs, f0, WS, ndft, pertnum)
%
% ***************************************************... |
af499b10d4788b5d07ed6c6c96e08cf65961383baf3281de59c83a7e5b110bc0 | MATLAB | 6,629 | 244 | function res=hbf_CheckMesh(input1,varargin)
% HBF_CHECKMESH performs some tests on a boundary mesh
%
% status=HBF_CHECKMESH(mesh,lasttesttodo)
% status=HBF_CHECKMESH(points,elements,lasttesttodo)
% mesh: hbf struct for triangle mesh
% points: mesh vertices, [N x 3]
% elements: mesh triangle description, [M x ... |
c1d6439cea43db93d191d6b5dd19f7ef2cb9aa2a5e2a0f81bc2db2dbf7c395be | MATLAB | 6,631 | 171 | function varargout = RaguDataProps(varargin)
% RAGUDATAPROPS M-file for RaguDataProps.fig
% RAGUDATAPROPS, by itself, creates a new RAGUDATAPROPS or raises the existing
% singleton*.
%
% H = RAGUDATAPROPS returns the handle to a new RAGUDATAPROPS or the handle to
% the existing singleton*.
%
% ... |
a2fe768f7d3ff1ad78b89dfcab018a420f2f8ce16c0000e687a06b59ec127138 | MATLAB | 6,646 | 173 | function [x_filtered, x_filtered1] = ecg_den_seg_wise_smoother(x, varargin)
% ecg_den_seg_wise_smoother - Implementation of the piece-wise ECG filter using smoothness priors.
%
% [x_filtered, x_filtered1] = ecg_den_seg_wise_smoother(x, DiffOrder, wlen, lambda, guardlen_l, guardlen_u, adapt, withwindow)
%
% Inputs:
% ... |
a13d9e77bde0f758ba68dc87fc1293f781bcaae5a08e6cc2199c37bd1536f4ab | MATLAB | 6,647 | 149 | % This file is a demo for testing the ERD/ERS analysis functions
% This function is produced by Esmaeil Seraj (esmaeil.seraj09@gmail.com)
%
% Dependencies: Functions "bdf2mat_main.mat", "emg_onset.mat",
% "trigger_avg_erp.mat", "BPFilter5.mat", "BaseLine2.mat"
% and "sig_trend.mat" (provid... |
4dddad4e7fa7e260958ee836e33bd4bb55d6aea6cc6e338ffb64648f4dccb334 | MATLAB | 6,648 | 257 | %% oscillations in spike trains?
%% spectrum of psths %%
%% load data
load('PSTHdata_wCellTypes.mat')
%% get reliable responses
rangeThresh = 3;
reliThrsh =-1.645;
zThresh = 3.29;
statGoodVals =stat.reliVec<=reliThrsh & stat.rangeFRVec>=rangeThresh & stat.peakAbsZVec>=zThresh;
runGoodVals = run.reliVec<=reliThrsh &... |
b2c846e5217c4e0b7bfbcf5d54b336381cdff741f5b0b876ad900675ccd72780 | MATLAB | 6,649 | 160 | %% SCRIPT TO REMOVE BAD ELECTRODES AND TO INTERPOLATE REMOVED ELECTRODES.
% Date: 28-05-2018 Programmed by: Deirdre Bolger.
% This script allows the user to both remove noisy electrodes and to
% interpolate these electrodes using spherical spline interpolation.
% The bad electrode rejection and... |
beab8f8658c7c6712dba95ad2d1649b599ba550034343eb297f3276ec8118cbe | MATLAB | 6,651 | 267 | classdef linear2dFit<conicFit
%A class for executing and managing 2D line fits
properties (SetAccess=protected)
%angle; %inherited
x1y1(2,1) double %line segment end points
x2y2(2,1) double
end
properties (Dependent,Hidden)
abc (3,1)
... |
d1f9fe3d29b7acc26ec0964e4e6bac714ca3ba4d9ab87a07156ed1baf28250e5 | MATLAB | 6,651 | 73 |
%% Set parameters
%Subject numbers:
subjNums=[100307 120212 162329 196144 221319 530635 702133 885975 123117 142828 163432 197550 249947 552544 729557 887373 103414 124422 143325 167743 199150 250427 559053 732243 889579 103515 125525 255639 579665 734045 894673 103818 128632 149337 172332 200614 293748 581349 748258 ... |
33dfd3cb1253fd90d6b5cbda9f344f2f385309818768f1513c798ae10b4eb1c6 | MATLAB | 6,653 | 178 | %% Neural Ensemble Detailed Features Display
% Script that read and boxplot by EACH Ensembles Features
% between or among Conditions of one Several Experiments
% Figs
% '%Neurons','Time Active',... [1]
% 'Domminance','ErrorClass',... ... |
a2bad36b6211497e84f2475d33d5557545177d9f086b85084379d9ef33a78f9d | MATLAB | 6,653 | 206 | clear
close all
clc
load Liza_all_data_psth.mat
%% Scatter contol/5th(4d)
ON_ctrl = (max(all_psth(1:2:end,50:70)'))*5;
ON_5HT =(max(all_psth(2:2:end,50:70)'))*5;
[t,o] = ttest(ON_ctrl,ON_5HT)
[c,p] = corrcoef(ON_ctrl,ON_5HT)
r_sq = (c).^2
set(figure(1),'Position', [10 400 600 280])
subplot(1,2,1)
scatte... |
852ac5b55de7cc77fa93f5434c5a6e88dfcb82ccb758cf68b7b54dac0346e469 | MATLAB | 6,663 | 219 | function [hCfg, res] = spykingcircus(loadPath)
%SPYKINGCIRCUS Import a SpyKING CIRCUS session from NPY files
[hCfg, res] = deal([]);
phyData = loadPhy(loadPath);
if ~isfield(phyData, 'loadPath')
return;
end
loadPath = phyData.loadPath;
cfgData = struct();
cfgData.outputDir = loadPath;
% load params and set them ... |
d9e6d28a440a81928da6b55fce7f1184211f6a1ebb007c9d7fd49333961f13f5 | MATLAB | 6,667 | 206 | function controlfilename = createLCmodel_control_laser(metabname,l1,l2,l3,preproc_dir)
do_water_scaling=1;
doecc=0;
TEMET=0;
basis_set_file_path = '/home/romain/data/spectro/Basis_set/Gosia/First/basis_LASER_TE=65_CENIR.BASIS';
%basis_set_file_path = '/home/romain/data/spectro/Basis_set/Gosia/LASER/TE_65/basis_LASE... |
0eaa5d40f74b47457a3037adc25bb0a0adc2fe068a61682fd694c9ea843f0a36 | MATLAB | 6,668 | 146 | %MakeFragLetterSloan
%code to generate fragmented letters, similar to the VOSP test
%here using Sloan letters, loaded from image files
%specify image size, IntactProp (proportion letter intact = 1/fragmentation) and checksize under image parameters below
%
%code by Keir Yong, modified J Greenwood
%v2.1, June 2022
clea... |
2482d23e43da1bf576578d28293d98509b7c1a43a5b3b4b213acecb967291f86 | MATLAB | 6,669 | 237 | % - analysis of tone-action interaction in 2DAA (drop in tone signal with
% action start)
% - this came out very nicely in the 2TAA experiment (CS1 shuttles in T2)
% - for 2DAA we have a similar situation: at the start of task 2 animals
% perform d1 shuttles, but tone is not shut off
% - collect error trials for sessi... |
69ae13411e5c1d4deaadbba496508482ae7eb0712198b60360bf89918e7f7897 | MATLAB | 6,676 | 226 | %% Analyse PSTH metrics by cell-type
%% onset and offset features by cellType
plotFlag=false;
for itype = 1:3
%%%%%%%%%%%% onset features %%%%%%%%%
statVals = stat.onsetCharVec(statGoodVals & stat.cellType==itype);
runVals = run.onsetCharVec(runGoodVals & run.cellType==itype);
statSessions = stat.session(statGoodV... |
b134750b5f3b3d81ea220845cabc0be3ac87839ef7634beff4659c1ae6cfe0b9 | MATLAB | 6,689 | 120 | function [myArbitrator myState1 myState2]=Bayesian_Arb(myArbitrator, myState1, myState2, myMap)
%% model option
modelOpt = 2; % 1: dualBayesArb, 2: mixedArb
%% Preparation
myArbitrator.m1_thr_PE=myArbitrator.PE_tolerance_m1*[-1 1];
myArbitrator.m2_thr_PE=myArbitrator.PE_tolerance_m... |
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