sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
62c1830d00c352f7c01ca0012b6552cc491422bb2e15c6aecce49ffad5e8b908 | MATLAB | 17,956 | 467 | function B = jadeR(X,m)
% B = jadeR(X, m) is an m*n matrix such that Y=B*X are separated sources
% extracted from the n*T data matrix X.
% If m is omitted, B=jadeR(X) is a square n*n matrix (as many sources as sensors)
%
% Blind separation of real signals with JADE. Version 1.8. May 2005.
%
% Usage:
% *... |
51c3fe2c23da606332cfa1d45c509fe1899d7f9e40f6e5a002af9f75c5851103 | MATLAB | 17,970 | 444 | function Y = gp_event_plot(varargin)
% plotting tool for group level event related response
% returns the adjusted response (ie the gp level adjusted beta+BF) as well
% as the average fitted data (ie the mean on indivudual modelled data)
%
% Note the if boosted data are used it recomputed the modelled data using
% the... |
c5e8156f60b4cabf9094789b349522de26ef840df330dd9c7ae2b9f84bb4bb69 | MATLAB | 17,976 | 411 | function PegTouchAnalysis24ch(R_PegTouchCell,L_PegTouchCell,SliderTouch,TurnMarkerTime,OneTurnTime,RpegTimeArray2D,LpegTimeArray2D,FTselect)
%'PegTouch'ÍsensorÌîñð¾½¾¯B12ch·×ĪRpeg12{ÉèÄçêÄ¢éÆ«ÉÍPegTouch¾¯Åàæ©Á½B
%µ©µARLÅ6ch¸Âgp·éÛÉÍA1-6A7-12ðèÄéKvª ... |
8c130a75b5d60d5424945c5a091bf76aa36fbd92089415bde433a8fe2fe0f8d8 | MATLAB | 17,988 | 553 | clear
close all;
% clc;
R1 = importdata('E:\Sameni\Projects\Seizure\SourceCodes\Probabilistic\SourcesWithResultsBackup\testFreqDomainEnergyIncreaseRate01.txt');
R2 = importdata('E:\Sameni\Projects\Seizure\SourceCodes\Probabilistic\SourcesWithResultsBackup\testICASubspaceAngles01.txt');
R3 = importdata('E:\Sameni\Proje... |
77e59d28692d4a221b836867cfc3b3ddc0ea88a2f6da4e94dfac54b0f140f854 | MATLAB | 18,013 | 464 | function RepeatFig20170612
close all
global Repeat MaxRepeat K
%XXX@o11ooÆoo11oÅÅࢪðTµÄA»±ðSÉ10binlûç¢HÌÍÍÅvlðßé
% o111oÌ^ñÅÅࢪðT·B
%@»ê¼êÌÌæÉ¢ÄAoo1ooAo11ooAoo11oAo111oA1111oAo1111A11111ÅÌlðßéB
%@
% cd C:\Users\B133_... |
0882e72e13a7e96399482aa05551dcfa8c4c983e866eacc3cdcd0f489464a474 | MATLAB | 18,060 | 362 | function Lt_Rt_Pattern1_and_CV__W3_Touch_Main20201208
path=['C:\Users\C238\Desktop\touchcellLtRt_Hirokane'];
cd(path);
LS=ls;
PositiveTouchesPointArray=zeros(1,6);
FRCVLPWTouches=[];
FRCVRPWTouches=[];
MeanLt_FR_Session=[];
MeanRt_FR_Session=[];
MeanLt_CV_Session=[];
MeanRt_CV_Session=[];
Posi5L=[];
for... |
5245f0c23e6c7acfacc5107722cbff9a9ef0a927af25a52f0162914acd4d964e | MATLAB | 18,071 | 668 | function st = newfft(om_in, Nd_in, varargin)
%function st = newfft(om, Nd, [options])
%|
%| New version of NUFFT (pun intended) that uses real interpolation kernels.
%| (The original NUFFT code used complex interpolation needlessly.)
%|
%| This returns a "strum" object with methods for both forward and adjoint
%| d-di... |
f1e6195f915fbf4f1f98156c40a6aef57ef22b57a7643dc47e97f1ce6b096c80 | MATLAB | 18,103 | 416 | function [n_best P_best V C]=fast_oopsi(F,V,P)
% this function solves the following optimization problem:
% (*) n_best = argmax_{n >= 0} P(n | F)
% which is a MAP estimate for the most likely spike train given the
% fluorescence signal. given the model:
%
% <latex>
% \begin{align}
% C_t &= \gamma*C_{t-1} + n_t, \qquad... |
d4b515ca5ca81e907e586f7c7fffa5460d7621d51b1acbb81f47b6a51af71dd2 | MATLAB | 18,151 | 498 | function [Out1, Out2, Out3] = fastica(mixedsig, varargin)
%FASTICA - Fast Independent Component Analysis
%
% FastICA for Matlab 5.x
% Version 2.1, January 15 2001
% Copyright (c) Hugo Gävert, Jarmo Hurri, Jaakko Särelä, and Aapo Hyvärinen.
%
% FASTICA(mixedsig) estimates the independent components from given
% ... |
81b1d3de0df0cbab31d9c5d65d1ddc0d776ce06bcacd5f69130ded5b874f5f39 | MATLAB | 18,181 | 533 |
function [Result_Detection]=Analyse_Calcium_Data()
%addpath('F:\Calcium_Matlab_code\Analyse stanilav09102020\emd\');
%addpath('C:\Users\Analyse\Documents\MATLAB\Analyse stanilav09102020\emd\');
close all;
clear all;
clc
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% - - - - - - Variables that can be c... |
6a7b5c5573f052a3c2435cce2f6d356ab3c3b981063b33af6180a92aeb49e7bf | MATLAB | 18,232 | 520 | % 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... |
38f4a90c17a91da64737b123a7138a3f66f205688639c6d515a5aa26468c7afb | MATLAB | 18,283 | 432 | function [underlay, brainFig, newFig, addedHemi] = patchUnderlay(varargin)
% Patches hemisphere vertices, manages lighting, and handles surface overlays.
%
% This function creates 3D patches for left and/or right brain hemispheres,
% adds default or specified lighting, and can overlay a new surface onto an
% existing f... |
0d36738a09e4a2507b746fd3e2fa1c040b612541de62947bdcfdc75b4bcbf699 | MATLAB | 18,331 | 330 | function fileData = readHeader(rawPath)
%READHEADER Read in and store header data
% adapted from scripts available here: http://www.intantech.com/RHD2000_evaluation_system.html
d = dir(rawPath);
if isempty(d)
warning('Could not find file %s', rawPath);
fileData = [];
return;
... |
ad3524b78ae71cbfaefe7cb396a23c7b7b619cda24d8fb867116497f4bad57f2 | MATLAB | 18,438 | 404 | % Main script to Load & Process Calcium Fluorescence Signals
% It detects Calcium Transients from VIDEOS of a single slice (EXPERIMENT)
% Sugggested Directorie's Strcuture:
% NAME_EXPERIMENT/ {VIDEOS & Coordinates from fSIENN):
% Input (same directory):
% ALL (XY).csv Coordinates from 4th row x,y,r
% Condit... |
161c9d1cfba2b687329d465c74deed544496748152bd11e5dbd766f640ca719b | MATLAB | 18,440 | 426 | function ASTA3(filename, folderpath, experimentNumber, startTime, endTime)
% This function performs the classification of firing patterns.
% See the documentation for more detailed information about regularity
% and bursts frequency thresholds.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
249c9f721142da851cfbedc01c13aeda1ffa25dd2a775343594d511779adcad3 | MATLAB | 18,513 | 404 | %% mean-field stuff. We use parameters andto estimate firing rates
%% NOTE! mean Vs are now autonomus from single cell simulations
% Input: C_EE,C_EI,C_IE,C_II connectivity matrices
% S_EE,S_EI,S_IE,S_II synaptic strength
% p_EEFail Synaptic failure prob
% lambda_E lambda_I LGN input
%... |
f0e483775a87121993e1ade1f71a4b2339b06b12a33c79133469eb3386b56df1 | MATLAB | 18,513 | 635 | classdef IntanRecording < jrclust.interfaces.RawRecording
%INTANRECORDING Model of a single recording in the traditional Intan file format
%% INTAN-SPECIFIC PROPERTIES
properties (Hidden, SetAccess=private)
rawFid;
end
properties (Hidden, SetObservable)
fileData;
end
proper... |
75e91253054ef14a1d85ca8293c0a133fe39d7cc665cf8bf552b6177a865bfcc | MATLAB | 18,573 | 410 | function pv_responsesorter(cellids,issave,response_resdir,responsespec)
%PV_RESPONSESORTER Peri-event time histogram.
% PV_RESPONSESORTER(CELLIDS,ISSAVE) calculates non-adaptive PSTHs for a
% set of cells (see ULTIMATE_PSTH) aligned to stimulus onset and feedback
% delivery. Statistical tests are performed ... |
c15fa57840747f19360001c6fbfabb5980ee086a1fe146804c7570e2dcce6bbd | MATLAB | 18,664 | 671 | %% FA angle analysis
%% load data
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 = [... |
5ebb4c8e75a96a86aa02ea5c430d333530ddc573a04e50f7653d29e92cbee952 | MATLAB | 18,675 | 204 | function [FigA, FigB]=TouchSpikeAnalysis20170328(SpikeArray,RPegTouchAll,LPegTouchAll,fname,TrimStr)
global RpegTimeArray LpegTimeArray
% clear all;
% close all;
Bin=9;
% global StartTime FinishTime RPegTouchAll LPegTouchAll
%20170303 7-5
% StartTime=2459;
% FinishTime=167473;
% LpegTimeArray=[2829;3328;38... |
58f4aa29643109058bddd1b9be4c8ddf67013ffcaa5b21cfd66aebc15f6fdcba | MATLAB | 18,711 | 580 | clear all;
close all; clc;
hexB10 = ([
0 0 0 0 0 0 0 1 1 0
0 0 0 0 0 0 0 0 0 0
0 0 1 1 0 1 1 1 0 0
0 0 0 1 0 1 0 1 0 0
0 0 1 0 1 0 0 0 1 0
0 1 0 1 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 1 0 0 0
0 0 0 1 1 1 1 1 0 1
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 1 1 1 0 0 0... |
f4414c9d6606360c3b247cfd0b94c680e811c48e0962aeb8f11ed3aa75c43502 | MATLAB | 18,713 | 579 | clear all;
close all; clc;
hexB10 = ([
0 1 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 0 1
0 0 1 0 1 1 1 1 0 1
1 1 1 0 1 1 1 0 1 1
0 0 0 0 0 1 0 0 1 1
0 1 1 1 1 1 0 1 1 1
1 0 0 0 0 1 1 1 0 0
1 0 1 1 1 1 1 0 0 0
1 1 1 0 1 1 1 0 1 0
0 0 1 1 0 1 1 1 1 1
0 0 0 0 0 0 0 0 0 0
0 1 0 0 0 0 0 0 1 1
1 0 0 0 0 0 0 0 1... |
2fc1e2c9d814b22e25828fe5a2b09e7c487041479200d1534233f2d717d3acbf | MATLAB | 18,759 | 509 | function RLR20191024
%¼àSCTFRt©çLtÜÅÌÔALt©çRtÜÅÌÔðp¢½\ª
%RLR20190604©çÌÏX_F1000rɼ·Æ±ëjMaxÌlð¬æêÊÜÅÉÏXAqxgÏ·ðgíÈ¢æ¤Éµ½
global ACresult ACresultW CCresultDrinkOn SpikeArray TurnMarkerTime RpegTouchallWon LpegTouchallWon...
RpNum LpNu... |
5e24d357fb79249aadac99cb7aa4c5d77d6ae61acc13b80c7dce0c4529ff4ea6 | MATLAB | 18,772 | 581 | clear all;
close all; clc;
hexB10 = ([
0 1 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
0 0 0 1 1 0 1 0 0 0
1 0 0 1 1 0 0 0 1 1
0 1 0 0 0 1 0 0 0 1
1 1 0 0 0 1 1 1 0 1
0 0 0 0 0 0 0 0 0 1
0 0 0 0 0 0 0 0 0 0
0 0 0 1 0 0 1 1 1 1
0 1 1 1 1 1 1 1 1 1
0 0 0 0 0 0 0 0 1 0
0 0 1 0 1 0 0 0 1 1
0 0 0 1 0 0 1 1 1... |
3ab16643297fb5a46b55e08036560603f35273042263b90cabcc2f2acdb35733 | MATLAB | 18,801 | 478 | function ObliqueModel20151013
%Oblique model
%^pN¿A1`10̪qÊA嫳Ínm`10nmöx
%2ÂÌNeuron»ê¼êÉ»â`qðèÅ«éæ¤ÉÎ
%_»³êÈ¢AFAKà©ȢBetaðzèµ½Betað±ü
%_»³ê¸FAKªíÚ
·éCNPð±üAArena1¤©çÌðÍÉÈÁÄ¢é
clear all;
clos... |
aae88b606db574ce48d898a6202dd9f17f6bcbf9a1fb6146088534f3c24e11bb | MATLAB | 18,852 | 402 | adress_data = 'ebos_data_breast.xlsx';
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Subgroups
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
subgroups = {(1:6), ... % veh38
(7:33), ... % veh34
(34:39),... ... |
03a209b3838102bb65b1abb7f5ab5ac44d9e0cea44f51b9baf0ede05a9555f94 | MATLAB | 18,934 | 519 | function mnl_CorrectImageForNonLinearity(Data,dimOrder,ThreshVal,func,beta,fn)
%Function to correct fornon-linearity in Leica SP8 images using the HyD
%detectors. This initial function assumes you have enough memory to store
%multiple copies of the image. For larger images use the commented out
%section. NB in the resh... |
6aadd72d36065d764150913477ed25a232116960bcbff940d78311fc6fd79e76 | MATLAB | 18,960 | 467 | function [varargout] = patchUnderlaySG(underlays, varargin)
% Patch Curvature Data Onto Surface Underlays
%
% [underlays, colormapSG, ticksSG, v, o] = PATCHUNDERLAYSG(underlays, ...)
% patches curvature data onto existing surface underlays for left and/or
% right hemispheres. The function processes curvature dat... |
33a2f2378208e33c4d6a8c5e06d5cbb69d7d9c740e21f362d9f1b46b398b4ec9 | MATLAB | 18,971 | 575 | function varargout = Randomizer_IndFeatures(varargin)
% RANDOMIZER_INDFEATURES M-file for Randomizer_IndFeatures.fig
% RANDOMIZER_INDFEATURES, by itself, creates a new RANDOMIZER_INDFEATURES or raises the existing
% singleton*.
%
% H = RANDOMIZER_INDFEATURES returns the handle to a new RANDOMIZER_INDFEAT... |
4f79c0fda945368e986b3d561d68af30aa319edf98407ad99df87c3450a4097b | MATLAB | 18,972 | 483 | function RepeatFig20170613
close all
global Repeat MaxRepeat K TouchID
%XXX@o11ooÆoo11oÅÅࢪðTµÄA»±ðSÉ10binlûç¢HÌÍÍÅvlðßé
% o111oÌ^ñÅÅࢪðT·B
%@»ê¼êÌÌæÉ¢ÄAoo1ooAo11ooAoo11oAo111oA1111oAo1111A11111ÅÌlðßéB
%@
% cd C:\Use... |
15915f0c4cf5969316bed5288a645a010f3b3041f4a4dd43a13c10b7f50ad359 | MATLAB | 18,977 | 608 | function xpeak();
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% xpeak.m %
% GUI version of hsvd peak removal %
% DK Deelchand March 2007 %
% Updated Aug 2007 %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
h1 = figure(...
'Units','c... |
afdb34e961eaa49683469a72f1325b5187d6a4b011c12dd8241014a2038dac8b | MATLAB | 19,150 | 442 | function FRvsIntervalTouch
global CCresultRtouchWon CCresultLtouchWon RpegTouchallWon LpegTouchallWon SpikeArrayWon tfile pegpatternname trimFolder2 IntervalCount FRvsIntervalTouchRate pegpatternum
% NXRIO©çs[Nðo
% subplot(2,2,3);
findpeaks(CCresultLtouchWon,'MinPeakDistance',30);
[Lpks,Llo... |
06fa488414d21ef34a80e95ff90adea030247c9695196a56c1befa9c0cb06ab0 | MATLAB | 19,170 | 383 | function [peak_indexes, hr, hr_smoothed, samples_sat, samples_sat_bp, samples_sat_bp_env, amp_inst, f_inst, f_inst_smoothed, f_hilbert, amp_hilbert, bw_inst] = peak_det_acoustic(samples, fs, varargin)
% PEAK_DET_ACOUSTIC Detects peaks in acoustic cardiac signals for heart rate analysis.
%
% This function is designed ... |
aa61d5da8340a74badbfdae3d00ef7cf65885458ed6aee87503b19c98e3cb425 | MATLAB | 19,239 | 586 | function varargout = FindProjection(varargin)
% FindProjection
%
% Displays a predefined projection, by rotating the current projection
% vectors towards the desired vectors.
%
% It will only use the basic features (trajs or clusters). It will favor
% clusters over trajectories, meaning if you have mixed data, Da... |
d558f3f3aeec51201e4c2505d7aee35103be29fd03985aba5e2f50f4569e1c68 | MATLAB | 19,369 | 482 |
%{
----------------------------------------------------------------------------
First_take number of frames in each tif files
Analyzing imaging data simply
At least for the correct rate
----------------------------------------------------------------------------
%}
function norm_Task_kaiseki_tokyo1_20220316_so... |
540aa380837ef25ee1d24b8d16a02076b2fef8ee9b28286a92a46676d0ae8000 | MATLAB | 19,392 | 428 | function PegTouchAnalysis24ch(R_PegTouchCell,L_PegTouchCell,SliderTouch,TurnMarkerTime,OneTurnTime,RpegTimeArray2D,LpegTimeArray2D,FTselect)
%'PegTouch'ÍsensorÌîñð¾½¾¯B12ch·×ĪRpeg12{ÉèÄçêÄ¢éÆ«ÉÍPegTouch¾¯Åàæ©Á½B
%µ©µARLÅ6ch¸Âgp·éÛÉÍA1-6A7-12ðèÄéKvª ... |
16296f26a40f7d9ef9dbb9e23b35cecb4e2369d94cc450146650429353541e80 | MATLAB | 19,410 | 535 | function varargout = UpdateColors(varargin)
% UpdateColors(DataHighFig, functions)
%
% Allows the user to manipulate values of the data struct, including
% colors and names.
%
% Copyright Benjamin Cowley, Matthew Kaufman, Zachary Butler, Byron Yu, 2012-2013
% ---GNU General Public License Copyright---
% This file ... |
d7d804cab7b9300b0c43e775132f51c66be6011261ff44694b819c887449b1b1 | MATLAB | 19,422 | 563 | function gui_cb(action)
%
% This file is used by FASTICAG
% This file holds the callbacks to the main window
% 27.5.1999
% Hugo Gävert
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Global variables
% Handle to the main figure
global hf_FastICA_MAIN;
% Handles for... |
f891558ad663377e8feb09dce44c786979b25178817934cf5984b50403aefb6e | MATLAB | 19,433 | 466 | % Analyze Task Reactivations. Makes all Task Reactivaiton Figures.
% Enter MEG Decision Study Folder
study_folder = '/Users/erussek/Dropbox/MEG_Decision_Study_WC';
% run permutations and save figs?
run_permutations = false;
make_permutation_plots = false;
run_permutations_key = true;
make_permutation_plots_key = true... |
7eaa0063d01bbbc71adcc797f3d5f059281eb00c3706b949fae82b60686a691a | MATLAB | 19,497 | 430 | function PegTouchAnalysis24ch(R_PegTouchCell,L_PegTouchCell,SliderTouch,TurnMarkerTime,OneTurnTime,RpegTimeArray2D,LpegTimeArray2D,FTselect)
%'PegTouch'ÍsensorÌîñð¾½¾¯B12ch·×ĪRpeg12{ÉèÄçêÄ¢éÆ«ÉÍPegTouch¾¯Åàæ©Á½B
%µ©µARLÅ6ch¸Âgp·éÛÉÍA1-6A7-12ðèÄéKvª ... |
830e21c825a62a415db4a16c61c5238f9f8cfe0fb5ee2efc0b52d5589ebe2636 | MATLAB | 19,518 | 550 | % This program is to check the consistency between sessions 1-2.
%
% by Hiro taiyo Hamada, Araya Inc.
clear all; close all;
% first experiments
visualizeAllTimeSeriesSession1st
visualizeAllTimeSeriesSession2nd
visualizeAllTimeSeriesSession3rd
visualizeAllTimeSeriesSession4th
% peaks of BOLD responses
% BOLD replica... |
3d321862d848a13765ec124d91fc70d335a2c10eb7637fd4e87f07892ba1218f | MATLAB | 19,611 | 642 | function result = Randomizer_ComputeTanova(d,UpdateExpVarFlag)
% Copyright 2009-2011 Thomas Koenig
% distributed under the terms of the GNU AFFERO General Public License
if nargin < 2
UpdateExpVarFlag = false;
end
switch d.Normalize
case 1
PreNormalizeMode = false;
bNormalize = false;
cas... |
e787f9ef9736c5252be3be8b9019f5176be4342c148f0c1b552f7849eb0abee3 | MATLAB | 19,658 | 555 | % This program is to calculate and plot the results of COPE between tphssk and control.
%
% Figure 4b-c, Figure 5b-d, Table 3 & Supplementary Table TS3
%
%
% by Hiro Taiyo Hamada, 2020/12/17
close all;
clear all;
% 1. extraction of 5HT receptors
niftidirect = fullfile(pwd, '/5HTR');
niftiList = makeList(niftidirect, ... |
bc2ad46e399ac6b781797db8a802d48a0114aba73b790f698e623cefbd020cda | MATLAB | 19,660 | 580 | % Save back to the original image with a portion of slices that was
% loaded by "load_untouch_nii". You can process those slices matrix
% in any way, as long as their dimension is not altered.
%
% Usage: save_untouch_slice(slice, filename, ...
% slice_idx, [img_idx], [dim5_idx], [dim6_idx], [dim7_idx])
%
% slice ... |
06b598158edba24beef4939673881a9d413f6f897e2cbe1cb432492107799c9d | MATLAB | 19,680 | 659 | % This script produces all alpha-band delimited figures and EROs
% Written 9/15/2023 - Tylor J Harlow - tylor.harlow@uconn.edu
%% Housekeeping
clear;
close all;
clc;
%% Load Data
% Select subjects to exclude from group analysis
exSub = {'Sub_151','Sub_152','126'}; %,'Sub_102','Sub_104','Sub_126','Sub_138'... |
a2518abf2a27c77cccd0b5b42948ed94a63a6782eff84aaa14e489222d8d3d42 | MATLAB | 19,688 | 665 | function fasticag(mixedsig, InitialGuess)
%FASTICAG - Fast Independent Component Analysis, the Graphical User Interface
%
% FASTICAG gives a graphical user interface for performing independent
% component analysis by the FastICA package. No arguments are
% necessary in the function call.
%
% Optional arguments c... |
1651d33315b03c6abf94a54baadb79af15ee9611b2c944043a5e084c532d9a2e | MATLAB | 19,746 | 582 | function fit_model(profile, session, channel, unit, fold)
% Fit neural model
%
% Parameters
% ----------
% - profile: struct
% Neural profile
% - session: scalar
% Session number with format: yymmdd
% - channel: scalar
% Channel number
% - unit: scalar
% Unit numb... |
5941dd49272d6d4cf8ea06b38335ac5b4b4af250d843be6780e00f44ff6395f2 | MATLAB | 19,754 | 407 | %% Build the neuron table
% this code will build a table where every row is a neuron
% Created by Alex T on 10/11/2022
%
% This code needs an excel spreadsheet with metadata in it.
% Right now, it will read 'OSProjectMetaData.xlsx'
% Every row in that excell spreadsheet is a field of view.
% The buildNeuronTable... |
c2aa9a0f33ae9b0224962b581864d2311017eb43ef5b5b37ef29fdbe5bc0444b | MATLAB | 19,762 | 446 | %% MF+V for Pixels. E is divided into S and C cells
%% Input:
% N_PreSynPix within Pixel->Pixel connectivity matrix
% 3*3 Post(R)/Pre(C): S, C, I
% S
% C
% ... |
abcc7c1fb9e7de8e8d92bce6870d7578fb4f68ad655726ef0c500052aeed6a09 | MATLAB | 19,784 | 504 | function [varargout]=mat2wfdb(varargin)
%
% [xbit]=mat2wfdb(X,fname,Fs,bit_res,adu,info,gain,sg_name,baseline,isquant, isdigital)
%
% Convert data from a matlab array into Physionet WFDB format file.
%
% Input Paramater are:
%
% X -(required) NxM matrix of M signals with N samples each. The
% ... |
9ac7818c0031d42ae403443c988c1663d3a2dc6e7958e1b667d3d6747dc00cb2 | MATLAB | 19,844 | 452 | % ¶EÌTouchÌÊÆXpCNÌÖWðAÎpxAX^[Å\¦B
% ¶E¶^b`ÅÌE^b`ÌÊð0`+1AE¶E^b`Å̶^b`ÌÊði0`+1j-1Æ·éB
% XpCNÍAÎÛÌ^b`ÌOãÉ éàÌðªÞ·éB
function [MeancosLRLphase MeancosRLRphase MeanLRLphase MeanRLRphase cosLRLphase cosRLRphase LRLphase ... |
c815e0fcf78acfbea973a9b2cfc659a660cb6b0400af006c296614b0632307d4 | MATLAB | 19,913 | 397 | %% Calcium Imaging Analysis Operator (summary)
% CIOA_03_summary is the third of a series of scripts aiming for
% an easy-to-use calcium imaging analysis pipeline. Here, get time courses
% for segmented data set and summarize the response to a given stimulus
% based on the average activity in a user-specified window.
%... |
f5d0db3c9d45b1bbfaccdab3917556d2a5962f9e2f427bb5b5b0225cf8f6eaa7 | MATLAB | 19,949 | 548 | function hdr = spm_dicom_headers(P, essentials)
% Read header information from DICOM files
% FORMAT hdr = spm_dicom_headers(P [,essentials])
% P - array of filenames
% essentials - if true, then only save the essential parts of the header
% hdr - cell array of headers, one element for each file.
%
% Contents of heade... |
b72b8db885dee87e8f2f25464740fb1262bc39d6b8842aff9665d871823f95fd | MATLAB | 19,990 | 463 | %% EAG_Analysis_Population
% bla
%
% Version: 04-April-24 (R2023a)
% Clean up
clc; clear all; close all;
% Add paths:
% --- Current paths
addpath(genpath(pwd))
% --- Toolbox for exporting publication quality figures
% https://github.com/altmany/export_fig
addpath(genpath('...\GitHub\export_fig'))
mkdir('FIGs')
%%... |
2545430b2a564552326c5c296884f8e32bdff4cd382d688547cc9a379851dc77 | MATLAB | 19,995 | 609 | function FigureS12def_MotionenergyvsPrior
parent='G:/Ishizu_data';
workpath='/Revise_ishizu';
outpath='/Revise_ishizu/output/MotionvsPrior2';
figsaveTYPE='-dsvg';
%--------------------%
cd([parent,workpath]);
%%% collect the data %%%
% folder setting %
Dir1 = {'AC','FOF','mPFC'};
Dir2 = {'PPC','posPPC... |
776e3981b28ce6e55ea7ef30818a074026dfa628cd9c28a9933b55fa199244e7 | MATLAB | 19,998 | 417 | function [subject,GMV] = spmup_BIDS_1rstlevel(subject, options)
% 1st level analysis of BIDS fMRI data
%
% FORMAT subject = spmup_BIDS_1rstlevel(subject, options)
%
% INPUT - subject: a structure containing the fullpath of the unpacked anat,
% fmap and func files for a given subject (see spmup_BIDS_unpack)
%... |
469fa39b3c5a23ffa48d4c351d8faadbe68aadf0b92a4008b954b3cdc9cc1ec4 | MATLAB | 20,054 | 457 | function Pop_PETH_Cluster(varargin)
%POP_PETH_CLUSTER Searhcing for clusters of similarly behaving neurons.
% POP_PETH_CLUSTER Finds groups of similary behaving cells based on the
% k-means clustering performed in the space spanned by the first
% PCA_dim(input) principal components of the normalized PETHs of ... |
e8320c263b355ec672b1a237c71b811dc3b1f1af27d4dd512c0e0785af6f36c3 | MATLAB | 20,108 | 558 | function FigureS3abc_TaskRelevantNeuronValidate
parent='G:/Ishizu_data';
outpath='/Revise_ishizu/output/TaskRelevantNeuronValidate';
% hulistic parameter %
%Differentially analyze between long sound and short sound
TW.time_window_base = 200; %ms
TW.time_window = 100; %ms
TW.time_long_pre = 1500;
TW.time_long... |
6e33505ddf61d74a3a9354c8fd8ae7d22ed0a17639e9e5f25db539e4cad029ae | MATLAB | 20,198 | 515 | %% PCDetect.m
% This function is used to detect place cells in one session.
%
% Input:
% PC_name: a 1*2 string, the type name of place cells in another form;
% e.g. ["PlaceCells", "PlaceFields"];
% DeconvSignals: a m*n matrix, n represents the number of cells;
% calcium_time: a m*1 vec... |
27128b96a233c92dc364cdc21abad4d4ad49b059c0b1c16bee29aef3c8fb7ea5 | MATLAB | 20,210 | 637 | function [RRR7, RRR8 ] = transduction_calc(data, t_events_ecg, t_bpFoot, bpValues, t_spikes, footIndex)
% GDAplot_DynamicIndexes_v26(namefileXXX(1:end-9), t_spikes, num2str(i), 'ecg', t_bpFoot*1000, colorVec(i,:), thre);
% plottingPhasesGDA( nome_file... |
da61cab2869ea50a409e9c63f57d3adf000b9eb5353e75b1675ec4042f05666f | MATLAB | 20,251 | 643 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function peakremovalgui(createrdbflag,hsvdflag,datadir,rp,npeak,ncol,...
receiveroffset_ppm,magnet,rawflag,savefid,rawfile,...
lb,gf,sifactor,tmsampl,rmampl);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
df2fe5a35498ade493a4b9980f0d2c6061103a93a59633b7e362235e14478ae4 | MATLAB | 20,254 | 576 | function SflCnxMatrixMaker20160822%(File,ExpMatrix,ProbMatrix,CnxMatrix,VarMatrix)
global ExpMatrix ProbMatrix CnxMatrix VarMatrix
File='Group_CnxMatrix001_M4_N10000_G50_E5_R1_Match1000000';
eval(['load ',File]);
Neurons=length(ExpMatrix(:,1));
Genes=length(VarMatrix(1,:));
Exp=length(ExpMatrix(1,:));
%Circu... |
0cc23048ad969512bbf2039bd3de454a98e918adb9cafd01a582e765b1d3780e | MATLAB | 20,280 | 580 | % *************************************************************************
% * The main code representing the "Robust Statistical Framework for *
% * Instantaneous EEG Phase and Frequency Analysis" including phase *
% * calculation, SNR verification and post processing (Kalman Smoothing) *
% * >>> Refer to... |
9512f219f8cdb66e4b26b7416878701cd70789f326e478bcfd507b6225f1bb30 | MATLAB | 20,315 | 590 | function [errcode,behav] = abcd_extract_eprime_rec(fnamewm,fnamerec,varargin)
%function [errcode,behav] = abcd_extract_eprime_rec(fnamewm,fnamerec,[options])
%
% Purpose: generate behav data for n-back REC files
%
% Required input:
% fnamewm: name of input eprime file WM (scanner run).
% fnamerec: name of input e... |
aaeb2391d4e6c51dfcd04b7d4b71bfc78a25421c99fbcc158e9aefc4e7eeb826 | MATLAB | 20,396 | 480 | % Script to read in EEG data for further analysis using FieldTrip
% Gets TFS and beta amplitude timecourse for highest SNR channel per
% subject and then averages over subjects
% Zelekha Seedat
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Housekeeping
clear all; close all; clc;... |
be76b18d678af056e9dfb732daba045d92f9781eae0a1b990e213d84e7d95a9f | MATLAB | 20,464 | 231 |
%% rerunning interactions in 360 ROI space
clear SNP_Cardio_int_P SNP_Cardio_int_T SNP_Cardio_int_SE SNP_P
SNP_Cardio_int_P=zeros(360, 22); SNP_Cardio_int_P(SNP_Cardio_int_P==0)=NaN;
SNP_Dep_int_P=zeros(360, 22); SNP_Dep_int_P(SNP_Dep_int_P==0)=NaN;
for i=1:360%
%tmp=sortrows(unique(allsnps.rsID(allsnps.TraitNum==... |
067e89bcbb9b4561c8fffcf938fb053ef0d071688a5581c8c1ef5bed57d5b0a7 | MATLAB | 20,541 | 395 | function WindowApplyPattern1_20200228(RorL)
global render RtouchSpikeOnUnit LtouchSpikeOnUnit RtouchSpikeOffUnit LtouchSpikeOffUnit LtNegativeSpikeOffKaisuu RtNegativeSpikeOffKaisuu ...
RtPositiveSpikeOffKaisuu LtPositiveSpikeOffKaisuu pegpatternum pegpatternname...
LtPositiveFiringRate LtNegativeFiringRat... |
0a027cc749b88026acac4f1617da83dedf379e6316c09c59883395cc35d9263e | MATLAB | 20,638 | 421 | function [data_out] = simul_Arb(param_in, data_in, mode)
%% create MAP
map_opt.transition_prob_seed=[0.7 0.3]; % init val, changed depending on block condition later
map_opt.reward_seed=[40 20 10 0];
[myMap N_state N_action N_transition]=Model_Map_Init2('sangwan2012b',map_opt);
[myMap_new N_state N_action N_tra... |
86f4696194cef51f21317b22a5362e10f523e9ede99e510ffad9d0ca7eff1c7a | MATLAB | 20,778 | 592 | function SflCnxMatrixMaker20160830%(File,ExpMatrix,ProbMatrix,CnxMatrix,VarMatrix)
global ExpMatrix ProbMatrix CnxMatrix VarMatrix
Ideal=0;
File='Group_CnxMatrix001_M4_N10000_G50_E5_R1_Match1000000';
File='Group_CnxMatrix001_M2_N10000_G50_E5_R1_Match1000000';
File='Group_CnxMatrix001_M1_N10000_G50_E5_R1_Matc... |
96da6cd3296c0e2d58831c19adc66511ad37c78b187193a5639ea5b9af9411fc | MATLAB | 20,789 | 613 | function [W, summary] = embanded(F,y,opts)
% Expectation-Maximization algorithm for estimating regularized regression
% model with banded prior structure.
%
% The function does not standardize the data. Columns in the input data
% must have zero-mean. See below for examples of ways to transform
% data prior to model fi... |
293b5e4527e0f074aa5a62eefe0648e4f388dc86de95c3e7da0309b763932958 | MATLAB | 20,827 | 471 | %% White Matter Disconnection Analysis for number cognition deficits
% by Christoph Sperber for Stefan Smaczny
% This script requires ROI-to-ROI disconnection matrices of patients (e.g.
% obtained from NeMo or LQT) and their behavioural scores. For each
% ROI-to-ROI connection, a GLM is computed to test the relatio... |
1b29cbcf40fe0bc856f56dd8153c698b7f83dd86a2534563156eb2137cb2a05e | MATLAB | 20,860 | 664 | close all;
clear;
clc;
% parameters
subject1 = 'Dog_1';
subject2 = 'Dog_1';
tri = 1;
number1 = tri;
number2 = tri;
path1 = ['E:\Sameni\Projects\Seizure\' subject1 '\'];
path2 = ['E:\Sameni\Projects\Seizure\' subject2 '\'];
mode1 = 'interictal';
mode2 = 'preictal';
SpectralWinLen = 5.0; % in seconds
SpectralOverlapPerc... |
4ea1c21538945c5230f1c825967c55d204bdea52541d5eeacc20b331a796cba6 | MATLAB | 20,881 | 446 | classdef Preprocess
% Modify Many's preprocessing pipeline_YT 022819
methods(Static)
% Data files to master file
function intanOps = GetIntanOptions(ksDir)
% customized options for preprocessing Intan Data
intanOps = MIntan.GetOptions(); % Initia... |
b796bffb0d5ad4a2d0b5345e3a7d12e8cbd5dda11b2013cf78ae389b41a0838a | MATLAB | 20,972 | 493 | function Negative_W1_Pattern_2_20200302
path=['C:\Users\C238\Desktop\touchcellLtRt_terashita'];
cd(path);
LS=ls;
LtWFRUnitN4=[]; LtWFRUnitN3=[]; LtWFRUnitN2=[]; LtWFRUnitN1=[]; LtWFRUnitN0=[];
RtWFRUnitN4=[]; RtWFRUnitN3=[]; RtWFRUnitN2=[]; RtWFRUnitN1=[]; RtWFRUnitN0=[];
LtW1PointN4=0; LtW1PointN3=0; LtW1... |
22890296e423b1f906ba523c553f3f3f0f20398943448397913a4ef16016d499 | MATLAB | 21,052 | 518 | function outdata = OPanalysis( cfg, indata )
% OPanalysis( cfg, indata ) efficiently computes from indata the
% following ordinal-patterns-based measures that are successfully used for non-linear
% analysis of multivariate time series (see [AKU15,BKP02,KUU14] and ref. there for more details):
% - permutation entropy (... |
ad89ad0d0d3bf85648f4e0e13edf7bbd98e4d56848a4a479e9b0ebb711acb705 | MATLAB | 21,069 | 512 |
%{
----------------------------------------------------------------------------
First_take number of frames in each tif files
Analyzing imaging data simply
At least for the correct rate
----------------------------------------------------------------------------
%}
function norm_Task_kaiseki_tokyo1_20220316_so... |
7ff1d473e55f015c6e1d08bf5cf6d67a0111cb5ecf5c872bb74e8b596bdc1e65 | MATLAB | 21,130 | 658 | function [RRR7, RRR8 ] = transduction_calc(data, t_events_ecg, t_bpFoot, bpValues, t_spikes, footIndex)
% GDAplot_DynamicIndexes_v26(namefileXXX(1:end-9), t_spikes, num2str(i), 'ecg', t_bpFoot*1000, colorVec(i,:), thre);
% plottingPhasesGDA( nome_file... |
76e61e3ed7a1c8672389c31ba58d96c62cd998afa7ef9df81e8f286ee3efcae8 | MATLAB | 21,273 | 591 |
%{
----------------------------------------------------------------------------
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)
%p = 0.001
%Each epoch, predict the prior, sensory and choice... |
34d246b7559e6634682e4db723cd526e102087bc2fb6dee4e32fbcd49c00d574 | MATLAB | 21,528 | 519 | function [cMap, cData, cbData, ticks, tickLabels, m] = colormapper(data, varargin)
% Generates a customized colormap and maps data points to colors.
%
% [cMap, cData, cbData, ticks, tickLabels, m] = COLORMAPPER(data)
% [cMap, cData, cbData, ticks, tickLabels, m] = COLORMAPPER(data, 'ParameterName', ParameterValue, ... |
724c3a78e098c5973de7f55c2d881c5317348804657bbe7c35d09ec42e57c275 | MATLAB | 21,560 | 584 | function CNP_NxRsA20171123%ConstantInput
%Variable startÉÎ, Vs=0.02Å-70mV ©ç-50mVÜÅUêéB
close all;
clear all;
global nFile RefPeriod Vreset Vth dt num_Pilgrim tau_m tmax Delay Rm tau_m tau_Es tau_Is Vth Vreset Vstart
% cd C:\Users\B133\Documents\MATLAB\GroupCMX\GroupCnxMatrix1000M1
cd C:\Users\B... |
6214dc05f382beeff515bc51d8efdc63daf532699dd4e62c75fa94d2f4e3e540 | MATLAB | 21,668 | 545 |
function [pi_0_chmm_exact, transition_matrices_chmm, chmm_gmm_para, log_likelyhood, AIC, BIC, pi_steady_exact] = em_chmm( channels_observations , channel_num_states , num_gmm_component , max_itration , extra)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% the slow model that work just for Gausian e... |
a3fd4c4ed1f94908f3af2f577240b11e85fdaef99b82fdfa4f9e6055eaeff48c | MATLAB | 21,702 | 673 | classdef Figure < handle
%FIGURE handle for JRCLUST manual figure
% Base class for specific figure types
properties (SetAccess=protected, Hidden, SetObservable)
hFig; % Figure object
hAxes; % hashmap of current axes (return value of `axes`)
hPlots; % hash... |
e2c9ca1783f02c4c9e311dec369915222d3097c7cf588ebae0aaf36508297492 | MATLAB | 21,711 | 466 | % Get all 2P data. Plot stims and runs
%%%%%% Analysis workflow:
% cell_f_extraction_2P_doublecheckplanes_24012022a.m
% ExportPreprocesseddata_2PGlusensstim08022022.m
% Combine_2Pdata0802.m
% Analysis_combined_data_2P.m
% Locate2Pcells.m
% Chech_running_per_gluClasses.m
% Combine_2Pdata0802.m
clear all; clc;... |
c27448e27a40501698573952ca2247d1e33b035429f9d1c2dafbf6878f490a69 | MATLAB | 21,858 | 580 | function ModulationHeatMaprelative20191210
%«æèɽµ½_o×EÌCCresultSpikeðCCSFolder©çÄÑoµ2HzÉgðo¨zscoreɼµÄq[g}bvì»
% Fs = 1000; % TvOüg
% t = 0:1/Fs:1; % ÔxNg
% x = sin(2*pi*5*t) .* sin(2*pi*100*t); % Ô²M
%
% F = fft(2*abs(x).^2);
% f = Fs * [0:len... |
ebbb6d67bdf0dfbe547dbb0529c8bcc010989331bddf7d4a5b21e9783ef0dd22 | MATLAB | 21,892 | 593 | function [x,y]=mnl_BeeswarmPlots(data)
% Adapted frim Jonas (2020). plot spread points (beeswarm plot) (https://www.mathworks.com/matlabcentral/fileexchange/37105-plot-spread-points-beeswarm-plot), MATLAB Central File Exchange. Retrieved October 26, 2020.
y=data;
[~,x,y]=Jonas_plotSpread(data);
end
function [handl... |
7d25f366e515ba338ac6820eefab6116412d2144aa533d6e668a258e78961a4d | MATLAB | 22,005 | 438 | lgraph = layerGraph();
tempLayers = imageInputLayer([224 224 6],"Name","input_1");
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
convolution2dLayer([7 7],64,"Name","conv1","Padding",[3 3 3 3],"Stride",[2 2])
batchNormalizationLayer("Name","bn_conv1","Epsilon",0.001)
reluLayer("Name","activ... |
eb6f3fd615d8549e66179e1effe7260d67a602ed8eac288fafdf49008bd37800 | MATLAB | 22,127 | 421 | function S = smc_oopsi_forward(F,V,P)
% the function does the backwards sampling particle filter
% notes: this function assumes spike histories are included. to turn them
% off, make sure that V.Nspikehist=0 (M is the # of spike history terms).
%
% The backward sampler has standard variance, as approximated typically.... |
52efb5afcbc06924e39e135ce465df9921b0b68e5ffa4a4797dd385f5204f882 | MATLAB | 22,174 | 517 | function [xPoints, yPoints] = plotSpikeRaster(spikes,varargin)
% PLOTSPIKERASTER Create raster plot from binary spike data or spike times
% Efficiently creates raster plots with formatting support. Faster than
% common implementations. Multiple plot types and parameters available!
% Look at Parameters section bel... |
797b74f5ab9c87ce34718e19f99fb92708ad89819d0de1e60f38dcc91a31a968 | MATLAB | 22,214 | 628 | clear all
close all
clc
overwrite = false;
project_dir = '.\Adults\';
if overwrite
for sub_i = [1:19,21:22,24:26]
sub = sprintf('1%2d',sub_i);sub(sub == ' ') = '0'
ses_i = 1;
ses = sprintf('%3d',ses_i);ses(ses == ' ') = '0'
peak_VE_hmm_func(sub,ses,project_dir);
% input('next?')
... |
abf06f3f94da8fa8c505075c31c3a15c83b8d4f31f09af66974c56551b706290 | MATLAB | 22,307 | 517 | function [xPoints, yPoints] = plotSpikeRaster(spikes,varargin)
% PLOTSPIKERASTER Create raster plot from binary spike data or spike times
% Efficiently creates raster plots with formatting support. Faster than
% common implementations. Multiple plot types and parameters available!
% Look at Parameters section bel... |
5528e06177673d2b34061f5c05c2337b8b967233d7ba7671d229edf05a4aefa0 | MATLAB | 22,346 | 517 | % a04
auc_a04 = {
'G:\Ishizu_data\Tokyo_ephys_ishizu\auditory\a04\2021-02-13_a04_1PPC2AC_Left_OK\recording1_task'
'G:\Ishizu_data\Tokyo_ephys_ishizu\auditory\a04\2021-02-18_a04_1AC2PPC_Right\recording1_task'
'G:\Ishizu_data\Tokyo_ephys_ishizu\auditory\a04\2021-02-19_a04_1AC2PPC_Right\recording1_task'
... |
b4cb2df4cfca348fbccef493b4a108a135f93fe7cf947a9de5e308d400687154 | MATLAB | 22,523 | 705 | function varargout = Toolbox(varargin)
% Toolbox
%
% A whole host of choices to enhance the experience of DataHigh.
% This includes input/output options, including saving the projection
% vectors, uploading new datasets, and modifying the current datasets.
%
% Features refer to things that change the display of the... |
1d3a9512f65b4788f50cdc48f204382844c1f5bfde3ff98414f20d09af4dc63c | MATLAB | 22,537 | 564 | function index_pinky_peak_TFS_func(sub,ses,project_dir)
restoredefaultpath
cleaning_only = 0;
fake_bad_ch =1;
close all
clc
% project_dir = 'R:\DRS-KidsOPM\Paediatric_OPM_Notts_AdultData_individual\';
% sub = '101';
% ses = '001';
run = 'run-001';
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
d176f00da8cc5541166ef898a93bea586f1dc5439dc40b4b0f295d522855068e | MATLAB | 22,670 | 681 | %% sort psth responses
sessionTags = {'M22027', '20220517';...
'M22029', '20220607';...
'M22031', '20220524';
'M22032', '20220621';
'M22033', '20220706'};
dataDir = 'C:\Users\edward.horrocks\Documents\Code\V1Dynamics\Data\basic_111022';
for isession = 1:5%size(sessionTags,1)
fname = [sessionTag... |
58d991d131544be7178b039d6b0083e9e62807b7e09b1f979fc90fc9058b7ec1 | MATLAB | 22,869 | 573 | function AEC_connectivity_func(sub,ses,project_dir)
restoredefaultpath
cleaning_only = 0;
fake_bad_ch =1;
close all
clc
% project_dir = 'P:\Paediatric_OPM_Notts\';
% sub = '006';
% ses = '001';
run = 'run-001'
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
fieldtrip_path = [proje... |
01a70e377cef86f5670f2036285360da21977af3810ee26b5dde6d7531729384 | MATLAB | 22,900 | 549 | function [rgb]=cmap(x, mapName, greyPerc, grayColor, grayFunction, greyPosition)
% [rgb]=cmap(x, mapName);
% [rgb]=cmap(mapName);
% [rgb]=cmap(x, mapName, greyExt, grayColor, grayFunction, greyPosition)
% TODO se il primo argomento di ingresso non ? una matrice numerica, scalare i successivi parametri in
% modo ... |
7df5aa28c17f2774ea34d8fdb1b5f8c0dfb31b9b759d48b5587b77bcd67b8b43 | MATLAB | 22,910 | 590 | %% Function to Clean Manuallly Calcium Transients
% Input
% indxSIGNAL: Cell of Indexed Signal as Detected Ca^2+ Transient
% Global Inputs:
% SIGNALS Raw Fluuorescence
% DETSIGNALS Detrended Fluorescence
% preDRIVE Preliminar Drive
% preLAMBDAS Preliminar Lambdas
% RAS... |
947bb01cd4a9f43438d9a5cb257bce7fb6f99816f86b23c02cb8633ae5fd1dba | MATLAB | 22,992 | 553 | % Script to read in MEG data for further analysis using FieldTrip
% Gets TFS and beta amplitude timecourse for highest SNR channel per
% subject and then averages over subjects
% Triggers on movement offset using the optitrack markers
% Zelekha Seedat
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
e47713ceb044f4097d849851561e486ddc4f47ea10cca14bd7d2e4fa8b0fdb0d | MATLAB | 22,999 | 469 | %% 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 data, apply spatial and temporal filters, and correct
% baseline shifts due to, for example, bleaching.
% CIOA only assum... |
78cfc72f6e7bb9935154af84b9abf86a65949da07c9e6307e770fa2764da76ad | MATLAB | 23,028 | 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... |
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