sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
e23b32351c763a363e1584e60bb66a197c80644870d97394abb7d9b3bbda1cac | MATLAB | 23,089 | 654 | function Do_clustering(input, varargin)
% PROGRAM Do_clustering.
% Does clustering on all files in Files.txt
% Runs after Get_spikes, which prepares '*_spikes.mat' files.
%
% function Do_clustering(input, par_input)
% Saves spikes, spike times (in ms), coefficients used (inspk), used
% parameters, random spikes select... |
15b08c960cd46aeda8ee6ee46782978663eef434416b8a7bd0c647b120c16eef | MATLAB | 23,115 | 591 | %% Code for generating Figure 2
% Initialize wavelet-specparam matrices
ap_exp2 = zeros(10000,10601);
ap_off2 = zeros(10000,10601);
pk1err_cfr2 = zeros(10000,7365);
pk1err_amp2 = zeros(10000,7365);
pk1err_std2 = zeros(10000,7365);
pk1_det2 = zeros(10000,10601);
pk2err_cfr2 = zeros(10000,2001);
pk2err_amp2 = zeros(1000... |
42127c9c1e323313f931f77805a59a51085af1e70513409a64bc1d30eea9c958 | MATLAB | 23,124 | 592 | %% FIBER PHOTOMETRY ANALYSIS - EVENT WINDOW (TAIL LIFT)
% Code written by Carrie Ann Stine
% Michael Bruchas Lab - UW
% Analysis code used for tail lift results in NOPLight manuscript
% Script used to calculate the z-score of a fiber photometry trace over
% multiple event windows.
% NOTE FOR DEMO: ONLY USE SCRIPT ... |
bef65f2be9d4182be7669f16ce0e5e1a796b973520ff89730cbc590c8b530228 | MATLAB | 23,235 | 799 | function varargout = ToSli(varargin)
%TOSLI M-file for ToSli.fig
% TOSLI, by itself, creates a new TOSLI or raises the existing
% singleton*.
%
% H = TOSLI returns the handle to a new TOSLI or the handle to
% the existing singleton*.
%
% TOSLI('Property','Value',...) creates a new TOSLI using t... |
1a234e29aa7a7c0822868b83c56c709d6bf9ea25a8ed3ee8cbad02cd476127e2 | MATLAB | 23,306 | 585 | % check vector(z_w_vec, z_q_vec, and z_wq_vec) for responsive neuron;
% check vector(z_q_idx, z_w_idx, z_wq_idx, z_qw_idx) for time bias;
% check pvalue for firing peak difference;
% check t_idx for trial bias.
%% 3. set parameters
Lo_w_1 = Lo_w(1:4);
Lo_s_1 = Lo_s(1:4);
Lo_q_1 = Lo_q(1:4);
Lo_w_2 = Lo_w(1:leng... |
a57219cf0b3de9832f809dc48a79738c61b52cfbe802503494d649b21aa32ab8 | MATLAB | 23,323 | 888 | function RepeattouchWdecision
global CCresultRtouchWon CCresultLtouchWon RpegTouchallWon LpegTouchallWon SpikeArrayWon tfile pegpatternname trimFolder2
%SpikeArrayÅLPegTouchAllARpegTouchallðACµ½NXRIO
%SpikeArrayÅLPegTouchAllðAC·é
duration=5000;
CrossCoL=[];
CrossCoR=[];
%¼... |
5465d4b2b5c3347bafec50748553f4ec6c5229574fdba721c1b598b526f73ee5 | MATLAB | 23,364 | 752 | %% load data
sessionTags = {'M22027', '20220517';
'M22029', '20220607';
'M22031', '20220524';
'M22032', '20220621';
'M22033', '20220706'};
for isession=1:size(sessionTags,1)
fname = [sessionTags{isession,1},'_', sessionTags{isession,2},'_r2overTime_dec22.mat'];
load(fname)
for iunit = 1... |
0c8007a1f040b5c5d1bc562b71c823a22b083758aedc3a02333c7aa496c1ab03 | MATLAB | 23,394 | 470 | function [VarMeansRL,VarSTDRL,CrossVarRL]=CrossPeg24ch20170728(RpegTouchTurn,LpegTouchTurn,RpegTouchMatrix,LpegTouchMatrix,PegTouchCell,Graph,duration,yhight,FTselect)
% Num_SmallVar ChunkLength ChunkEnd Sum_SmallVar ChunkValue
global OneTurnTime RefPeriod VarMeans VarSTD DrName CrossVar FigureSave fig_VarInvHist..... |
5567d2e95ebfe88f20f40ed96ae7f271d87084c7f95f8d663a85ba0a7ccfe662 | MATLAB | 23,418 | 601 | %% FIBER PHOTOMETRY ANALYSIS - EVENT WINDOW (HEAD-FIXED SUCROSE)
% Code written by Carrie Ann Stine
% Michael Bruchas Lab - UW
% Analysis code used for head-fixed sucrose results in NOPLight manuscript
% Script used to calculate the z-score of a fiber photometry trace over
% multiple event windows
% NOTE FOR DEMO: ... |
f902456d0d7725b806002698165e29cddc2c5856ddc1d0ce71ba8f578127a78b | MATLAB | 23,490 | 534 | % Find location of clustered cells
clear all
close all
clc
params.colour_list = {[0 0.4470 0.7410],[ 0.8500 0.3250 0.0980],[ 0.9290 0.6940 0.1250],[ 0.4940 0.1840 0.5560],[ 0.4660 0.6740 0.1880],[ 0.3010 0.7450 0.9330],[ 0.6350 0.0780 0.1840],[0,0,0],[0.5,0,0],[0,0.5,0],[0,0,0.5]};
dir_t = 'P:\Alexander\... |
641ea0557a6e291da18e78f2347b652809757ec212cad054e10343c399598e96 | MATLAB | 23,510 | 705 | % Funtion to Read Images from to find cells that colocates
% with Calcium Imaging Experiments
% It reads images average and display them from some Dye
% IT also samplea som frames from the CaImaging
% Display a Merge of Both Mean Images: Dye and Calcium
% Save Colocated Coordinates in the .mat File of the Experiment D... |
1322424bd15d2b7fd1d04738d64ef6fc645a45c5c749593177caab3baea41c13 | MATLAB | 23,531 | 490 | function RepeatPitch20170606
global ACvalue Pitch MainPointX AutoCorrValue SE lengthEvent T autoy CCresult AutoCal Repeat...
SpikeCount EventCount1 EventCount2 EventCount3 EventCount4 EventCount5 AC ControlSp MainPoint AutoPitch...
Ratio111 Ratio110 Ratio101 Ratio100 Ratio011 Ratio010 Ratio001 Ratio000 Pre... |
2444bca50b936ade6a9e51a9cd77c773369a1cecd16af4520dd85f5103c7f818 | MATLAB | 23,626 | 132 | cd D:\Canada_2020\UK_biobank\reports\AD
clear;
%% tabular data
cd D:\Canada_2020\UK_biobank\reports\ordered
%selfreport_ordered=readtable('selfreport_ordered.csv');
APOE_ordered=readtable('APOE_ordered.csv');BDNF_ordered=readtable('BDNF_ordered.csv');ADprs_ordered=readtable('ADprs_ordered.csv');
AD_ordered=readtable('... |
cb6a8dde888391519f0121203271d1e2d08d6ffa8b48197fc1759d55399f84d9 | MATLAB | 23,804 | 573 | %%% behavioral performance
% Input: MSessionExplorer of all inhibition sessions for each mouse
% Output: Session-by-session summary of behavioral performance (lick info)
% For each session, behavioral performance must pass the following criteria.
% Criteria:
% Hit rate: lick probability o... |
ae81c8b17d44fb9b12b5aecead7e270bc99172664ef8fe1889dc445715256eec | MATLAB | 23,808 | 745 | function varargout = Ragu_TMapper(varargin)
% RAGU_TMAPPER M-file for Ragu_TMapper.fig
% RAGU_TMAPPER, by itself, creates a new RAGU_TMAPPER or raises the existing
% singleton*.
%
% H = RAGU_TMAPPER returns the handle to a new RAGU_TMAPPER or the handle to
% the existing singleton*.
%
% RAGU_TM... |
7757729bca53162a38eaeed655b3d7f8eeb59a3bb3eff7a52cfc9cb7c326956d | MATLAB | 23,863 | 547 | function [CSIdata] = read_csi(file,type)
% type = 'Siemens', 'Philips', 'GE'
[p,f,e] = fileparts(file);
if strcmp(lower(e),'.rda')
type = 'Siemens';
elseif strcmp(lower(e),'.sdat') || strcmp(lower(e),'.spar')
type = 'Philips';
elseif strcmp(lower(e),'.7')
type = 'GE';
end
if strcmp(type,'Siemens')
fid... |
cb2ef79313cb25d5859fe432e7cc7d3f6a97d0729064f883532a580877dca322 | MATLAB | 24,029 | 848 | % 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... |
03380319e7dabc7430bdd953fff74f00f3c82d0e0b0d1ed59158745782306f82 | MATLAB | 24,074 | 477 | function MovWindow20200220_sub
global CCresultRtouchWon CCresultLtouchWon RpegTouchallWon LpegTouchallWon SpikeArrayWon RtouchSpikeOnUnit LtouchSpikeOnUnit RtouchSpikeOffUnit LtouchSpikeOffUnit
%SpikeArrayÅLPegTouchAllARpegTouchallðACµ½NXRIO
%SpikeArrayÅLPegTouchAllðAC·é... |
dcc9c38b1316241274e89bd5653f183c2a71f229b83f4cb34fb20a15c0f4d966 | MATLAB | 24,089 | 848 | % 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... |
f2be370079f0cb6a06a102998ece508a924ee964aebbf7d3bb1f4351ad695f6b | MATLAB | 24,210 | 489 | function Repeat20201208
global RpegTouchallWon LpegTouchallWon SpikeArrayWon tfile pegpatternname trimFolder2 Spike_TouchRate IntervalCount FRvsIntervalTouchRate PhaseCountRate...
TouchCount PeakInterval PeakPhaseCount pegpatternum RLRcount LRLcount ...
LtTouchCount LtSpike_TouchRate Spike Spike_Bin SpikeFR_... |
5dc80aeddc32ec85063eca8a3774042644d3ab0b7bb8370b2049fd8d903eae3c | MATLAB | 24,222 | 721 | %{
----------------------------------------------------------------------------
%Stimulus bias changes by block
%Just model analysis
%Based on Rao 2010 Front Comp Neurosci
%Value updating + Prior updating
----------------------------------------------------------------------------
%}
function Figure2b_Dual_RL... |
b5eaffed98cc7fe297f9c247cec576b47308c1c2ee5288fe64c05cec9585eb44 | MATLAB | 24,229 | 483 | %% Analysis of block type index
% Create a class
classdef BlockType
% functions for analyzing block type index
methods(Static)
function GetBTind(MouseName, seDir)
% Inputs
% MouseName Mouse name
% seDir Directory of session explore
... |
a229592427fc19f3347f779b3a82e0eadaa16e7e618114dfdcf9ed5de6cbd444 | MATLAB | 24,280 | 585 | function [x_denoised, baseline_reference, x_mains_cancelled] = ecg_strip_viewer_waterfall(x_raw, fs, f_mains, varargin)
%
% ecg_strip_viewer_waterfall: A function to process and visualize ECG signals.
%
% USAGE:
% [xd, bl, xm] = ecg_strip_viewer_waterfall(x, fs, f_mains, title, params);
%
% INPUTS:
% x_raw: Raw EC... |
4cb19e4b1f12dd26874db7158c8154d3572510e6855c1bc698ec9293ecf8b963 | MATLAB | 24,287 | 857 | % 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... |
2732a8549cdf636195ef119f3b8d05bb4503b118b98b0f020360b3a60038fc4e | MATLAB | 24,289 | 857 | % 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... |
fec8c8d9176cd008b5b9fcc232622c221275eb22ed1f946dccb06221030d2e7b | MATLAB | 24,352 | 858 | % 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... |
71ea2875ec58f56ab0970a01bae573a5e04e504d1bc7ab300dd8e86e81cb57d1 | MATLAB | 24,381 | 727 | function RRR(varargin)
% Do reduced rank regression (RRR)
% The code in the paper "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)
% are used for this analysis (see 'https://github.com/joao-semedo/communication-subspace')
% These codes are at 'Distributed_and_dynamical_communic... |
4575cddecf8ac7d19b48590db55ed7f09ef52d0a446739ffe0389cd712eeb588 | MATLAB | 24,427 | 586 | function [data_posterior_est, data_prior_est, n_var] = ecg_den_phase_domain_gp_full_cov_draft(data, I_peaks, params)
if ~isfield(params, 'bins') % number of phase bins
params.bins = round(max(diff(I_peaks))); % use median of RR-intervals in samples by default
end
if mod(params.bins, 2) == 0
params.bins = param... |
1fc95b18f542cc2e327aa211dee10a173abd3961e90c01290b80b461531513d3 | MATLAB | 24,498 | 466 | function RLt_Sum_20200303
%%%%%%%¶E¼ûÌEBhE𮩷
global CCresultRtouchWon CCresultLtouchWon RpegTouchallWon LpegTouchallWon SpikeArrayWon RtouchSpikeOnUnit LtouchSpikeOnUnit RtouchSpikeOffUnit LtouchSpikeOffUnit...
pegpatternum pegpatternname RTroughlocsInterval LTroughlocsInterval LlocsInterval Rlo... |
f27b9ebf585e9bc96b81a4d2b8e0d6575e6f15845e67508817a8cdb2ee537cdc | MATLAB | 24,622 | 622 | function plot_spikes_ad(app)
drawnow;
data = app.user_data;
par = data{1};
spikes = data{2};
classes = data{6};
classes = classes(:)';
inspk = data{7};
temp = data{8};
ls = size(spikes,2);
minclus = app.settings.minclus;
clustering_results = data{10};
% Extract spike features if needed
if strcmp(app.dd_shape.Valu... |
fb3cb79eda59e2ff9059671ec47925af184350ec294e84909dca44f0fee89e97 | MATLAB | 24,625 | 525 | function varargout = TouchDividerAnalyzer24ch(varargin)
% TOUCHDIVIDER M-file for TouchDivider.fig
% TOUCHDIVIDER, by itself, creates a new TOUCHDIVIDER or raises the existing
% singleton*.
%
% H = TOUCHDIVIDER returns the handle to a new TOUCHDIVIDER or the handle to
% the existing singleton*.
%
%... |
fcfcd4340a98f3ce7ac5801d7504f8d85038ea76e03503a928c7bb93927588c0 | MATLAB | 24,627 | 542 | function SpikeAnalysisSet(n,U,M)
global StartTime FinishTime fname SpikeUnits TurnMarkerTime OneTurnTime RPegTouchAll LPegTouchAll DrinkOnArray dpath3...
MedPegTimeR MedPegTimeL RpegTimeArray LpegTimeArray RpegTouchall LpegTouchall WaterOnArrayOriginal WaterOffArrayOriginal...
RpegTimeArray LpegTimeArray DrName Un... |
b16914b3df6028114f630d3ddd93088c4637c7dae19c77446f6add73922417e8 | MATLAB | 24,667 | 773 | function varargout = NeMo(varargin)
% NEMO M-file for NeMo.fig
% NEMO, by itself, creates a new NEMO or raises the existing
% singleton*.
%
% H = NEMO returns the handle to a new NEMO or the handle to
% the existing singleton*.
%
% NEMO('CALLBACK',hObject,eventData,handles,...) calls the local
... |
fffc76de77b3c32317aa0c256770a12574497cfac5fe10353cd1b1adf3096009 | MATLAB | 24,775 | 507 | %% Calcium Imaging Analysis Operator (prepare)
% CIOA_01_prepare is the first of a series of scripts aiming for an
% easy-to-use calcium imaging analysis pipeline. Here, we collect and
% prepare raw, apply spatial and temporal filters, and correct baseline
% shifts due to, for example, bleaching.
% CIOA assumes a stric... |
2b6468975a81c7d1281df53673bd343b2c3ab3c70d3807f89d4bcb9afa7bf180 | MATLAB | 24,797 | 600 | function autoSplit(obj, multisite)
%AUTOSPLIT
if numel(obj.selected) > 1
return;
end
if obj.isWorking
jrclust.utils.qMsgBox('An operation is in progress.');
return;
end
if obj.hClust.unitCount(obj.selected) < 2
msgbox('At least two spikes required for splitting')... |
4328680755a2959261d2deee24b7a1d2f27cc4de992219532f363abb338c838f | MATLAB | 24,866 | 495 | function [atlas, sz] = loadAndProcessAtlas(f, hemi, underlay, lg)
% Loads and Processes Atlas Data from Various File Formats
%
% [atlas, sz] = loadAndProcessAtlas(f, hemi, underlay, lg)
%
% **Description**
% ------------
% The `loadAndProcessAtlas` function is designed to load and process atlas data from
% multip... |
9699add460800828b438b61d5d5d3414b13e4c1865158440e7a4fd397efe4ad6 | MATLAB | 24,870 | 678 | clearvars
close all
badtrls
if badtrls
project_dir = '.\Adults_badtrls\';
else
project_dir = '.\Adults\';
end
TFS_results_adults = table({},...
'VariableNames',{'ID'});
TFS_results_kids = table({},...
'VariableNames',{'ID'});
conwin = [2.5,3];
extension_T = '';
%% envelopes
mean_E... |
8ee71272b829dcc995bdf59c69326d7e54e501ce4835193ddeed145ce34a1ff7 | MATLAB | 24,905 | 894 |
% This is where we load all of our participant files directories', as well as
% parameters for processing the output of the ECHT device and exclude participant's
% with artifacts.
% Written 9/15/2023 - Tylor J Harlow - tylor.harlow@uconn.edu
%% Housekeeping
% Clear all figures, data, and set a timer.
close all
clea... |
8221d94df0d4fee5179ae65b0707d00ef7edc69576e4ca8d3e0f813395b48a3f | MATLAB | 25,013 | 476 | %% Fig1G_Fig2B_Fig2C
% Choose and load the appropriate files for analysis
clear all;
[FPfiles,FPpath] = uigetfile('*.mat','Select FP Files to Analyze','MultiSelect','On');
%% Fig1d-rDA3m mean response across time
% NOTE: Using JT065, Right-Hemi NAc as the example mouse (I only did n = 1 for this experiment)
... |
3f8cec2b353ff6523228d9fab922fe0aa8dcfd2f00545101d040ddef113ce2ab | MATLAB | 25,032 | 465 | clearvars -except Behav_path Path_figures Path_variables MEG_path
close all
SubjectID={'S01' 'S02' 'S05' 'S15' 'S19' 'S20' 'S22' 'S24','S21','S25','S23'};
Drug=[3 1 1 2 3 2 3; 3 1 3 2 1 2 0; 2 1 1 3 2 3 0; 1 3 3 2 2 1 0; 2 3 1 2 1 3 0; 1 2 3 1 3 2 0; 3 1 2 2 1 3 0; 3 1 1 2 3 2 0; 2 1 1 2 3 3 0; 3 2 1 3 1 2 0;2 3 2 1 ... |
a1971fb388d3a3b720363f73b17efe37e8261a9d024a0c0cb5d3945179ec0a3e | MATLAB | 25,075 | 443 | function [figs, path] = find_outputfiles(app)
path = uigetdir;
listing = dir(path);
f_names = {[]};
f_idx = 1;
for i = 1: length(listing)
if ~listing(i).isdir
if ~contains(listing(i).name,'xls' )
tmp_idx = [];
tmp_idx = strfind(listing(i).name,'_INT');
if ~isempty(tmp... |
4ab4ae2f41dc5dbe4382234790263bf15bc25dc6f32e6c5006e36dbde062ffa9 | MATLAB | 25,131 | 679 | function varargout = Projection3D(varargin)
% Projection3D
% Given two projection vectors and data, creates a random orthogonal projection
% vector, and projects the data onto that space (in scatter for points)
%
% Evolve: Shows timecourse of the data. Can be saved as movie (.avi).
%
% Copyright Benjamin Cowley, Mat... |
26ef19b0a48acd800da16e67a9fbd44b2e01955f30cf3879b535b5a80b43442f | MATLAB | 25,155 | 599 | function senpai_seg_core_v4(path_in,im_in,varargin)
% senpai_seg_core:
% segments a 3D .tiff image by using a topology-informed
% k-means based clustering approach
%
% Execute the function in the command window:
% Syntax:
%
% senpai_seg_core(path_in,im_in... |
b92bebf34dc933fd96e94e88d4f3e40867a8dc6ce746d39d8d49bad35fda02c3 | MATLAB | 25,310 | 608 | %% Complete data array for each recSite
% Concatenate sessions
% Fill with nan
% Get firing rate average
% load data array
load('E:\Data_array\AllTrials_10bin_Smooth_lickOnset\data_array.mat')
% load('E:\Data_array\AllTrials_100bin_noSmooth\data_array.mat')
% Import setting
B = 2; % number of contexts:... |
989e20d15d49dd8e90ca16f002a9cabf256eaca9fa2546c3e24fe7eb814761b4 | MATLAB | 25,314 | 900 | %% analyse FA single-trials
sessionTags = {'M22027', '20220517';...
'M22029', '20220607';...
'M22031', '20220524';
'M22032', '20220621';
'M22033', '20220706'};
dataDir = 'C:\Users\edward.horrocks\Documents\Code\V1Dynamics\Data\basic_111022';
s = struct;
for isession = 1:5
tic
fname = [sessio... |
7c270be1350368ca8c433cfc92da550c8593caac135f9525b5345b507d8bda22 | MATLAB | 25,324 | 726 | % Stanislav Sherepanov Agnès Martin Pierre Fontanaud
% Calcium Analyse Reseau
%function [Result_Detection]=Analyse_Calcium_Data_Network()
addpath('BCT\2019_03_03_BCT\');
%addpath('F:\Calcium_Matlab_code\Analyse stanilav09102020\emd\');
%addpath('C:\Users\Analyse\Documents\MATLAB\Analyse stanilav09102020\emd\');
clos... |
3ed4c942f1514cd5d2c79e376172ace9f6ae610fcc191dbed95b929dfb2d0e6c | MATLAB | 25,394 | 559 | function SpikeAnalysisSet20180527(n,U,M)
%AutocorÍSpikeArrayADrinkÍSpikeArrayWon,WaterOn/OffÅÍSpikeArray
%TouchÅÍSpikeArrayÆTðgpB
global StartTime FinishTime fname SpikeUnits TurnMarkerTime OneTurnTime RPegTouchAll LPegTouchAll DrinkOnArray dpath3...
MedPegTimeR MedPegTimeL RpegTimeArray LpegTimeArray... |
daff5e9820ec8f67d0084cc1fa38296d94809206da9c4e6429fee1fc1ddd1796 | MATLAB | 25,435 | 362 | function varargout = Ragu_Import_Help(varargin)
% RANDOMIZER_HELP M-file for Ragu_Import_Help.fig
% RANDOMIZER_HELP, by itself, creates a new RANDOMIZER_HELP or raises the existing
% singleton*.
%
% H = RANDOMIZER_HELP returns the handle to a new RANDOMIZER_HELP or the handle to
% the existing singl... |
e71c2ac784528ca3fd10022b5523e3cef612e64f7cbcbb7b5aaadd18aa55e70e | MATLAB | 25,637 | 518 | function print2eps(name, fig, export_options, varargin)
%PRINT2EPS Prints figures to eps with improved line styles
%
% Examples:
% print2eps filename
% print2eps(filename, fig_handle)
% print2eps(filename, fig_handle, export_options)
% print2eps(filename, fig_handle, export_options, print_options)
%
% This fun... |
52ba0c4558b8da39e11a42f6cae7cd606c59c301cb92d20cd1f80fe4324380fe | MATLAB | 25,649 | 874 | function Randomizer_ShowTanovaResults(out,h)
% Copyright 2009-2019 Thomas Koenig
% distributed under the terms of the GNU AFFERO General Public License
handles = guidata(h);
if strcmp(get(handles.Options_PartiallEtaSquare ,'Checked'),'on')
EtaSqTypeToUse = 2;
else
EtaSqTypeToUse = 1;
end
if strcmp(get(handle... |
40645bafe1e74fdb8590e218f1307559ff98103ec7288f5983b52274557214e6 | MATLAB | 25,906 | 619 | function [data_posterior_est, data_prior_est, n_var] = ecg_den_phase_domain_gp_full_cov(data, I_peaks, params)
if ~isfield(params, 'num_phase_bins') % number of phase bins
params.num_phase_bins = ceil(max(diff(I_peaks))); % use max RR-interval by default
end
if mod(params.num_phase_bins, 2) == 0
params.num_pha... |
3c87dfd15d5a919a626d00f702fd78900bde4cacef7a1ebbd06960a04e386f12 | MATLAB | 25,992 | 559 |
function burst_report(app)
%BURST_REPORT writes graphs and xls sheets with results of burst analysis
% Detailed explanation goes here
%% create results
plot_data = struct('name',[],'integral',[],'amplitude',[],'duration',[],...
'n_bursts',[], 'burstrate',[], 'burstincidence',[], ...
... |
91dca179b0e69227a11f8919567112ed1262f666d9fb9b519d92f640c0bfe98a | MATLAB | 26,005 | 569 | classdef tVennEulerDiagram < matlab.unittest.TestCase
% tVennEulerDiagram Tests for vennEulerDiagram.
% Copyright 2021 The MathWorks, Inc.
properties
Figure
ChartConstructor = @hTestVennEulerDiagram
end
properties(TestParameter)
% Data for testing if correct errors are pr... |
f5152ff3a84f66cc45d3ff93cb9a77fe362bdfd48ee6f29760d852eddee3051a | MATLAB | 26,123 | 436 | function WindowApply20200225(RorL)
global render RtouchSpikeOnUnit LtouchSpikeOnUnit RtouchSpikeOffUnit LtouchSpikeOffUnit LtNegativeSpikeOffKaisuu RtNegativeSpikeOffKaisuu ...
RtPositiveSpikeOffKaisuu LtPositiveSpikeOffKaisuu pegpatternum pegpatternname...
LtPositiveFiringRate LtNegativeFiringRate RtPosit... |
29157ee3e11ffca91fc4e0d5bf16e66acaad2d147bd9e6ce22e188df97fb59ef | MATLAB | 26,281 | 302 | function [RpegTouchCell,LpegTouchCell,RLpegTouchCell,RLpegName,RLpegMedian,RpegTouchTurn,LpegTouchTurn]=PegTouchAnalysis(PegTouchCell1,SliderTouch1,TurnMarkerTime,OneTurnTime1,RpegTimeArray2D,LpegTimeArray2D,FTselect)
%'PegTouch'ÍsensorÌîñð¾½¾¯B12ch·×ĪRpeg12{ÉèÄçêÄ¢éÆ«ÉÍPegTouch¾¯Åà... |
dc406d8e6a8be239b48aad1fab8de6148b18c792d8a737b9805712ce68ad1a5e | MATLAB | 26,298 | 714 |
function [pi_0_lsim , coupling_tetha_IM , transition_matrices_IM , gmm_para_lsim , AIC, log_likelyhood, BIC, pi_steady] = em_lsim_svi( channels_observations , channel_num_states , num_gmm_component , max_itration , extra)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% SVI inference
%%%%%%%%%%%%%%%%%... |
2abd3c67ea55a42f3c33b12653c16323778302c04dcaf23cb90699064c23dc78 | MATLAB | 26,299 | 655 | %% Data for figure 3
% Load data
work = whos('SPRiNT*'); % Data is saved as SPRiNT01, SPRiNT02, etc.
if numel(work) > 1
sd = eval(work(1).name).SPRiNT;
for t = 2:numel(work)
sdtmp = eval(work(t).name).SPRiNT;
sd.channel(end+1:end+length(sdtmp.channel)) = sdtmp.channel;
end
else
sd = eva... |
d133d829d44f33b91585cc661b09dbdc18b02fc6f246dad7c8b3e635a8e020ce | MATLAB | 26,517 | 725 | function result = rst_rep_anova_T2(varargin)
% This function computes repeated measures ANOVAs - Unlike standard ANOVAs,
% it relies on a multivariate framework which automatically account for the
% correlation between measures. One advantage of this approach is that one
% does not have to account for sphericity ... |
a56f8c70b4abca79f8413dfd5f6219e46bc51bbf7d746956eb2ec5a75471141b | MATLAB | 26,553 | 624 | function [status] = ft_hastoolbox(toolbox, autoadd, silent)
% FT_HASTOOLBOX tests whether an external toolbox is installed. Optionally
% it will try to determine the path to the toolbox and install it
% automatically.
%
% Use as
% [status] = ft_hastoolbox(toolbox, autoadd, silent)
%
% autoadd = 0 means that it will ... |
2758d2e870c273a193d4dcc562c5bc339b1415f6fbe793aace7205e92aa948df | MATLAB | 26,666 | 491 | close all; clear; clc
%--------------------------------------------------------------------------
w1 = 0.72; % First stage baseline wander removal window size (in seconds)
w2 = 0.87; % Second stage baseline wander removal window size (in seconds)
BASELINE_REMOVAL_APPROACH = 'BP';% 'BP', 'MDMN'; % baseline wander remova... |
a1ad51e92a46541e2e6578fe2b1fb530fc0ea9d4fa971789bf623ef94a5ba319 | MATLAB | 26,745 | 897 | function [A, W] = fpica(X, whiteningMatrix, dewhiteningMatrix, approach, ...
numOfIC, g, finetune, a1, a2, myy, stabilization, ...
epsilon, maxNumIterations, maxFinetune, initState, ...
guess, sampleSize, displayMode, displayInterval, ...
s_verbose);
%FPICA - Fixed point ICA. Main algorithm of FASTICA.... |
b4cf068ac36e2850856439cb5bd8b043eb6325fcc7067cc89a115fe3141898a6 | MATLAB | 26,849 | 584 | %% Prerequest
% 1.trial list which present all the trials
% 2.a folder that contains all the behavioral data generated from
% Lick_BehavDat.m
%% 1. Read case list and addpath
case_list = 'optogenetics_at_w';
trial_list = list_lick(case_list);
[num_trials, c] = size(trial_list);
addpath(genpath('E:\Wang_Behav... |
fc0490025f23c67fcd9546f7458acd08a9406f43031167ceb1ec7636aaed1280 | MATLAB | 26,864 | 906 | % Script for behavioral analysis of socialdoors data
% Reaction times after wins? After losses? Are these different between tasks?
% Jimmy Wyngaarden--July 1, 2022
clear; close all;
% Point this to the istart social doors data directory:
maindir = '/Users/jameswyngaarden/Documents/Documents_Air/GitHub/istart/social_... |
6b3d7288720476b19d54b5548cd933c4d990a769fa6485f02be5cc0b3c717a4c | MATLAB | 26,915 | 547 | % Funtion to denoise Fluorescence Signals
% By Wavelet Analysis under asumption: noise is iid
% Wavelet denoiseing @script
% VChS-A: Valley-Checking Segmentation Algorithm @in code
% Smooth by rloess
% Input
% XD: Raw Signal
% Output
% Xest: Estimated Denoised Signals
% SNRbyWT: SN... |
baf1b04da308f59c92211d33d3f54271b62e5e44c60220505d6e8ccbe6f48839 | MATLAB | 26,957 | 582 |
function burst_report(app)
%BURST_REPORT writes graphs and xls sheets with results of burst analysis
% Detailed explanation goes here
%% create results
plot_data = struct('name',[],'integral',[],'amplitude',[],'duration',[],...
'n_bursts',[], 'burstrate',[], 'burstincidence',[], ...
... |
9039db984a05ac4cf7c9d9ec8dd2cb9ddb8a1afc67a9de9453175c750c774b91 | MATLAB | 26,973 | 583 |
function burst_report(app)
%BURST_REPORT writes graphs and xls sheets with results of burst analysis
% Detailed explanation goes here
%% create results
plot_data = struct('name',[],'integral',[],'amplitude',[],'duration',[],...
'n_bursts',[], 'burstrate',[], 'burstincidence',[], ...
... |
963edb71f20add89cd879463c3407a9d594c434e2919e046259aebd1691e44ee | MATLAB | 27,020 | 583 |
function burst_report(app)
%BURST_REPORT writes graphs and xls sheets with results of burst analysis
% Detailed explanation goes here
%% create results
plot_data = struct('name',[],'integral',[],'amplitude',[],'duration',[],...
'n_bursts',[], 'burstrate',[], 'burstincidence',[], ...
... |
6ca94d04c459bee24c243cf666a164b815b11df202531e07031636cb0604d039 | MATLAB | 27,021 | 489 | function [autocorr_ACh, autocorr_DA, corr_AChACh, corr_DADA, corr_cell_samehemi, lags, shuffAChACh, shuffDADA, shuff_achda] = JT_autocorrFP(beh, varargin)
%Cross-correlation between ACh and DA photometry signals acquired during
%dual color photometry recordings
%
% [corr_achda, lags] = AK_corrFP(beh)
% [corr_a... |
890157d64c1e929e121ebe4b34a0923d51bd42361408427e89205c6ea2f33f3a | MATLAB | 27,096 | 599 | function SpikeAnalysisSet20180528(n,U,M)
%AutocorÍSpikeArrayADrinkÍSpikeArrayWon,WaterOn/OffÅÍSpikeArray
%TouchÅÍSpikeArrayÆTðgpB
global StartTime FinishTime fname SpikeUnits TurnMarkerTime OneTurnTime RPegTouchAll LPegTouchAll DrinkOnArray dpath3...
MedPegTimeR MedPegTimeL RpegTimeArray LpegTimeArray... |
83459ee6f789840a93caeb40480d77ff5d71809c433aa66d50cd7ccdd49775ec | MATLAB | 27,163 | 838 | function [z,s,exitflag] = smoothn(varargin)
%SMOOTHN Robust spline smoothing for 1-D to N-D data.
% SMOOTHN provides a fast, automatized and robust discretized spline
% smoothing for data of arbitrary dimension.
%
% Z = SMOOTHN(Y) automatically smoothes the uniformly-sampled array Y. Y
% can be any N-D noisy a... |
779702702134a8c0c3a052820c34ff177aec1bdc453e35df6ca4e0b2d378ddc3 | MATLAB | 27,320 | 584 |
function burst_report(app)
%BURST_REPORT writes graphs and xls sheets with results of burst analysis
% Detailed explanation goes here
%% create results
plot_data = struct('name',[],'simple_name',[],'integral',[],'amplitude',[],'duration',[],...
'n_bursts',[], 'burstrate',[], 'burstincidence',[]... |
baf9a647cfbdd164dc2ccc37b0c465b817ca4cbe04a571e1d6f34fd0d486be8d | MATLAB | 27,506 | 678 | function index_pinky_Tstat_func(sub,ses,project_dir)
restoredefaultpath
cleaning_only = 0;
fake_bad_ch =1;
close all
clc
% project_dir = 'P:\Paediatric_OPM_Notts\';
% sub = '001';
% ses = '001';
run = 'run-001';
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
fieldtrip_path = [p... |
3b1c525bb56b4260453ee4caa1e1f8c8f58acd93680aeb75e27b0bb188658401 | MATLAB | 27,558 | 851 | function varargout = dspLoreta(varargin)
% DSPLORETA M-file for dspLoreta.fig
% DSPLORETA, by itself, creates a new DSPLORETA or raises the existing
% singleton*.
%
% H = DSPLORETA returns the handle to a new DSPLORETA or the handle to
% the existing singleton*.
%
% DSPLORETA('CALLBACK',hObject... |
9621918fa5d8a92ac3ef235df6828d4bdd6f4b8328b7f800a4245987d6ec82d1 | MATLAB | 27,788 | 858 | function [x,x_debias,objective,times,debias_start,mses,taus]= ...
SpaRSA(y,A,tau,varargin)
% SpaRSA version 2.0, December 31, 2007
%
% This function solves the convex problem
%
% arg min_x = 0.5*|| y - A x ||_2^2 + tau phi(x)
%
% using the SpaRSA algorithm, which is described in "Sparse Reconstruction
% by Separ... |
d69a3d48d3eb0ba4c1abd1b78e7cbca02e42a829168fda6a935693ad7c80eca0 | MATLAB | 27,917 | 863 | function [x,x_debias,objective,times,debias_start,mses,taus]= ...
SpaRSAx(y,A,tau,varargin)
% SpaRSA version 2.0, December 31, 2007
%
% This function solves the convex problem
%
% arg min_x = 0.5*|| y - A x ||_2^2 + tau phi(x)
%
% using the SpaRSA algorithm, which is described in "Sparse Reconstruction
% by Sepa... |
7410ad526bcf01c07b9a6132737237120b06c8b1a72e75e524a2fa3f827102b8 | MATLAB | 27,929 | 713 |
%{
----------------------------------------------------------------------------
Determine the time window for task relevant neurons
%Start of task
%Sound on
%Sound off
%Before choice
%After choice (0sec)
%After choice (1sec)
%After choice (2sec)
%Compare sound, choice prior during long sound (-100 ms to 150... |
278cb1ed5417d28bd8b9fa4e03ebd6fbf16124371fa6255a29a06f58fc0d4154 | MATLAB | 27,932 | 480 | classdef Inhibition
methods(Static)
function behavSummary = GetBehavInfo(seFilePaths)
% Input:
% seFilePaths: file paths for MSessionExplorers
% Output: table of behavioral performance
% MouseName: mouse name
% sesh... |
087a9d437193563dc3ee489a2182df98b2c6fe07385a833989dc995ec3dbe6c0 | MATLAB | 27,975 | 568 | function Repeat20200219
global RpegTouchallWon LpegTouchallWon SpikeArrayWon tfile pegpatternname trimFolder2 Spike_TouchRate IntervalCount FRvsIntervalTouchRate PhaseCountRate...
TouchCount PeakInterval PeakPhaseCount pegpatternum RLRcount LRLcount ...
LtTouchCount LtSpike_TouchRate Spike Spike_Bin SpikeFR_... |
d96be71caf57522ddd2498a5122167fc5ce8313b224aa8876577741d9143c345 | MATLAB | 28,035 | 714 |
%{
----------------------------------------------------------------------------
Determine the time window for task relevant neurons
%Start of task
%Sound on
%Sound off
%Before choice
%After choice (0sec)
%After choice (1sec)
%After choice (2sec)
%Compare sound, choice prior during long sound (-100 ms to 150... |
a37df0fc30357f8ffab2674488f03ddf97805f8272c6aae67112bb5eb11292c1 | MATLAB | 28,140 | 750 |
function [t, x, names] = run_steps(model, varargin)
% Runs a Matlab Simbiology model using STEPS.
%
% model a Matlab Simbiology model object.
% varargin
% - solver - 'wmdirect' or 'wmrk4' (deterministic), default: 'wmdirect' (stochastic),
% - seed - set an explicit see for the pseudo random ... |
7dc0eadf582ba07a1df5673d624ff8f447231acf070b413e85d01dcc72ea5e6d | MATLAB | 28,178 | 567 | % Load pre-processed 2P sal vs glu data into a single struct
%%%%%% Analysis workflow:
% cell_f_extraction_2P_doublecheckplanes_24012022a.m
% ExportPreprocesseddata_2PGlusensstim08022022.m
% Combine_2Pdata0802.m
% Analysis_combined_data_2P.m
% Locate2Pcells.m
clear all
clc
params.colour_list = {[0 0.4470 0.7... |
89b4914d862922735e858c36a3ade9d4c1ab19d6d32e019af66c1b2c3af5a458 | MATLAB | 28,180 | 558 | %%Prerequest
%combined behavioral and spike data in a single file folder
%% 1. retrieve data
disp('select brain region folder about combined files');
Folder_region = uigetdir('E:\Wang_combined files\mat\');
FileList_SpikMat = dir(fullfile(Folder_region, '**\*Spike*.mat'));
FileList_lickMat = dir(fullfile(Folder_r... |
b22f3578847cf1a8b514c52ae5cc6d04e45eb55b73031d95ebbe46b97e750c25 | MATLAB | 28,253 | 717 |
%{
----------------------------------------------------------------------------
Determine the time window for task relevant neurons
%Start of task
%Sound on
%Sound off
%Before choice
%After choice (0sec)
%After choice (1sec)
%After choice (2sec)
%Compare sound, choice prior during long sound (-100 ms to 150... |
989526045e78bdfd4c01ea725f2ef0905d5000bb1a656f2582e342b75342dc1a | MATLAB | 28,270 | 717 |
%{
----------------------------------------------------------------------------
Determine the time window for task relevant neurons
%Start of task
%Sound on
%Sound off
%Before choice
%After choice (0sec)
%After choice (1sec)
%After choice (2sec)
%Compare sound, choice prior during long sound (-100 ms to 150... |
677a9fa0ff924e52bcfb6e8edb8c3d14f6b57c835b4746a9c5806ee447443142 | MATLAB | 28,295 | 556 | function MovWindow20200220
global CCresultRtouchWon CCresultLtouchWon RpegTouchallWon LpegTouchallWon SpikeArrayWon RtouchSpikeOnUnit LtouchSpikeOnUnit RtouchSpikeOffUnit LtouchSpikeOffUnit...
pegpatternum pegpatternname RTroughlocsInterval LTroughlocsInterval LlocsInterval RlocsInterval
%SpikeArray... |
bf4f636127aa500735dd7bd88e2df213668bfa5ecce5733dd78732349d1ff109 | MATLAB | 28,319 | 558 | function MovWindow20210116
global CCresultRtouchWon CCresultLtouchWon RpegTouchallWon LpegTouchallWon SpikeArrayWon RtouchSpikeOnUnit LtouchSpikeOnUnit RtouchSpikeOffUnit LtouchSpikeOffUnit...
pegpatternum pegpatternname RTroughlocsInterval LTroughlocsInterval LlocsInterval RlocsInterval
%SpikeArray... |
cdfbac9163188ded5c95687579b9f84e63835a1839a8011b1d5ce22ddaea6071 | MATLAB | 28,377 | 557 | function MovWindow20201208
global CCresultRtouchWon CCresultLtouchWon RpegTouchallWon LpegTouchallWon SpikeArrayWon RtouchSpikeOnUnit LtouchSpikeOnUnit RtouchSpikeOffUnit LtouchSpikeOffUnit...
pegpatternum pegpatternname RTroughlocsInterval LTroughlocsInterval LlocsInterval RlocsInterval
%SpikeArray... |
2718859b6fced275167bf14648e7ff7e7b14147aa5611f9438e5a630c9d9d056 | MATLAB | 28,391 | 977 | %% analyse FA - fit separately
%% load dataa
sessionTags = {'M22027', '20220517';...
'M22029', '20220607';...
'M22031', '20220524';
'M22032', '20220621';
'M22033', '20220706'};
dataDir = 'C:\Users\edward.horrocks\Documents\Code\V1Dynamics\Data\basic_111022';
s = struct;
for isession = 1:5
tic
... |
34803f2456f9488171969f4cb534a357fadd4fe954c57a1d7c4f9ad2960290cb | MATLAB | 28,402 | 631 | function save_spike_results(app)
[int_idxs,~] = listdlg('PromptString',{'Please select intervals ',...
'to be plotted/saved.',''},...
'SelectionMode','multiple','ListString',app.popup_int_spike.Items);
[form_idxs,~] = listdlg('PromptString',{'Please select fileformat ',...
''},...
'SelectionMode','mul... |
141989589bc16122d51692784015f3ce04d4bbacfe315e7bfe1ebca40d90d546 | MATLAB | 28,549 | 736 |
%{
----------------------------------------------------------------------------
Determine the time window for task relevant neurons
%Start of task
%Sound on
%Sound off
%Before choice
%After choice (0sec)
%After choice (1sec)
%After choice (2sec)
%Compare sound, choice prior during long sound (-100 ms to 150... |
1946dbc7bfa7c659aae2e459b8d5099287757f82bfedf5c57cdd9b2b0b85366d | MATLAB | 28,559 | 557 | %% Create a class
classdef tCorrectTrials
% functions for analyzing tactile correct trials: tHit and tCR
methods(Static)
function GetAmplitude(MouseName, seDir)
% Inputs
% MouseName Mouse name
% seDir Directory of session explore
... |
0c91127c65042b1b7d5ca8c9ea4dbc6f5fbbb2a52f05dd9bd36559b96271e434 | MATLAB | 28,678 | 505 | function [figs, path] = find_outputfiles(app)
path = uigetdir;
listing = dir(path);
f_names = {[]};
f_idx = 1;
for i = 1: length(listing)
if ~listing(i).isdir
if ~contains(listing(i).name,'xls' )
tmp_idx = [];
tmp_idx = strfind(listing(i).name,'_INT');
if ~isempty(tmp... |
a977e054f56d3dfa87c451038b086f33292694b75e778c39fe8ad1ab2687b4e9 | MATLAB | 28,875 | 741 |
%{
----------------------------------------------------------------------------
Determine the time window for task relevant neurons
%Start of task
%Sound on
%Sound off
%Before choice
%After choice (0sec)
%After choice (1sec)
%After choice (2sec)
%Compare sound, choice prior during long sound (-100 ms to 150... |
499b6f8be208e869f7d25ec666daae7e9e41d0bda0f14d653e1db7a98c3f1468 | MATLAB | 28,892 | 741 |
%{
----------------------------------------------------------------------------
Determine the time window for task relevant neurons
%Start of task
%Sound on
%Sound off
%Before choice
%After choice (0sec)
%After choice (1sec)
%After choice (2sec)
%Compare sound, choice prior during long sound (-100 ms to 150... |
2132ff9b0d24572cdd7b70439f0b683551f73d66fda95bfae7fc70beed84b33d | MATLAB | 28,897 | 741 |
%{
----------------------------------------------------------------------------
Determine the time window for task relevant neurons
%Start of task
%Sound on
%Sound off
%Before choice
%After choice (0sec)
%After choice (1sec)
%After choice (2sec)
%Compare sound, choice prior during long sound (-100 ms to 150... |
9c396d883e4a65aecae2c55c9b7535cdc3424b07c867021379bad3dd16889b05 | MATLAB | 29,239 | 722 | function index_pinky_4mm_Tstat_func(sub,ses,project_dir)
restoredefaultpath
cleaning_only = 0;
fake_bad_ch =1;
close all
clc
% project_dir = 'P:\Paediatric_OPM_Notts\';
% sub = '001';
% ses = '001';
run = 'run-001';
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
fieldtrip_path ... |
e24a7a3e0c66187ca9fbef360e143794cb96dc93ba879c0fa6e67c111d69bac9 | MATLAB | 29,306 | 555 | % Classification of initial states of transition trials
% Trial-by-trial analysis
% Initial state: -100 ~ 0 ms activity (100 ms before stimulus onsets)
% We define transition as the time period from the first trial to the first hit trial.
% Are the initial states of transition trials closer to the initial states... |
4ae05943e179d6be16cf12b667fb4b12e18a5ff1caa82d7a4218bc163e9ea890 | MATLAB | 29,426 | 932 | % plot figure 3
close all
clearvars -except Behav_path Path_figures Path_variables Code_path
SubjectID={'S01' 'S02' 'S04' 'S05' 'S06' 'S07' 'S08' 'S10' 'S11' 'S12' 'S15' 'S17' 'S18' 'S19' 'S20' 'S22' 'S24','S21','S25','S23'};
Drug=[3 1 1 2 3 2 3; 3 1 3 2 1 2 0; 1 3 2 1 3 2 0; 2 1 1 3 2 3 0; 2 1 3 1 2 3 0; 1 3 2 3 1... |
890179c5b1a5d91a1fef69d14e16c86b269044a5838c790d4c1e36e828501691 | MATLAB | 29,458 | 707 |
function [pi_0_lsim , coupling_tetha_IM , transition_matrices_IM , gmm_para_lsim , AIC, log_likelyhood, BIC, pi_steady] = em_lsim_fast( channels_observations , channel_num_states , num_gmm_component , max_itration , extra)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% SVI-inference
%%%%%%%%%%%%%%%%... |
c8d016120d3c006e5d85dcf130d74785ffc258220ae9c6ff53ec652106acbcd6 | MATLAB | 29,971 | 644 | function [RpegTimeArray,LpegTimeArray,RpegTimeArray2D,LpegTimeArray2D,OneTurnTime,TurnMarkerTime data]=DataLoad24ch(PegOffset,dpath,fname)
%1AFInfoidate, mouseID, sessionNo,training condition, Num.Turns,TotalTouchTime, TotalWaterOn, Num.Stops, 1-10, 11-20, 21-30, 31-40,,,)
%2B:Start time array
%3C:Stop time arra... |
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