sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
f6da75de171d42fd0dbbb5456aa6a33f3034d06e1cdc50e42d7d85e8966a188f | MATLAB | 4,399 | 140 | function M = tpmovie(dirname, channel, trials, thestims, sorted, diffnc, fps, filename)
% TPMOVIE - Movie of Prairieview two-photon data
%
% MOVIE=TPMOVIE(DIRNAME, CHANNEL, TRIALS, STIMS, SORT, DIFF, FPS, FILENAME)
%
% Computes a movie for two-photon data that is linked to the
% stimulus presentation. DIRNAME i... |
5c3775e5eeb09b0cf491ea520d1369c4ec6345b4384c66e46f3a53449ae3ac32 | MATLAB | 4,400 | 135 | function results = staircase_TCS2(NI_session, pulse_dur, temp_base, ...
active_zones, record_RT, fn_thresh)
% Staircase procedure to find the Adelta threshold with the TCS2 (NI).
%
% The subject has to use the response button to indicate the detection of a
% stimulus.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
us... |
74238b017a7fdcb85645890a8d473a9c3ccbdeab67a518bbd0707d23e2f4683f | MATLAB | 4,401 | 151 | function [varargout] = rdir(rootdir,varargin)
% Lists the files in a directory and its sub directories.
%
% function [D] = rdir(ROOT,TEST)
%
% Recursive directory listing.
%
% ROOT is the directory starting point and includes the
% wildcard specification.
% The function returns a structure D similar to the one
% re... |
dfcce0464fcf8391910a1b518d4bea36d405fe7589fcfafd5415d3d3a6c71643 | MATLAB | 4,404 | 153 | function subPlot_Gen_2016(x,y)
%Creates a 4x4 grid of subplots and graphs each angle separately, followed
%by graphing all of them on a single subplot.
x2 = x((x(:,2)==1),:);
figure('Name','Trial-By-Trial Accuracy')
colorArray = jet(13);
for i = 1:length(y)
if y(i,5)
x3 = x2((x2(:,1)==i),:);
swit... |
12bc5bd9ffd10748468ae8f9dc558fc7669b1cbe80284736b35ea9ce96e39b8b | MATLAB | 4,405 | 101 | %
% Extract and reconstruct part of a 3D object to make up the new object
%
% [vertexMatrix, facesMatrix, vertexConversion] = extract3DByFaces(inputGifti, extractFaceIndices)
% [vertexMatrix, facesMatrix, vertexConversion] = extract3DByFaces(vertices, faces, extractFaceIndices)
%
% inputGifti =... |
f73295d86f134963718ae6183e35eb3b643439f580685c3c2c0a435f6d3d7e0d | MATLAB | 4,405 | 114 | function [resultsStruct] = GLMprior_allFilters(paramStruct, resultsStruct, stimPrior_setup, levPrior_setup, spkHistPrior_setup)
%this prior is setup assuming I pieces together the GLM design matrix in a particular way - the only real flexibility is that I can include spk hist or not
%% pulls out hyperparameters
H = do... |
8e87ba2cb1d4e92b5c8f6c7c5a4a2f9c0b30231de040cd9b06e8b91a82587e3a | MATLAB | 4,413 | 145 | tb = -5:0.05:21;
times_ = num2cell(0:0.5:16);
bw = 0.05;
% sigma = 5; % kernel standard deviation (s) - single value
sigma = max([1:0.05:3.2;fliplr(1:0.05:3.2)],[],1);% kernel standard deviation (s) - sweep
shoulder = 2; % Time ranges to draw kernel over (sigmas)
plotYN = true;
templates = makeDecodingTemp... |
069dd6d945c313c24637401526f0b99da5e2400ce1add94ed814270763513211 | MATLAB | 4,414 | 107 |
%==================== ModelFitHistogram.m ====================
% Calculating model preference for retinal angle compared to size
% and plots model preference histogram featured in Figure 3
%==========================================================================
clear all
close all
%================= SET PATH... |
7c24310a93625d57adde93cae4871a1ec44cdb2d0184e3e4b4b6918ea303c176 | MATLAB | 4,415 | 122 | function [nassem,FL,FSC,LL,AIC,BIC,Pr,Chi2,prBS,LLbs,Chi2bs,psix,FLbs,FSCbs,psixBS,perm]=FAassem_(SCM,kmax,Nbs,alpha)
% Factor analysis assembly detection algorithm
%
% Original 2014 Daniel Durstewitz, Bernstein Center for Computational Neuroscience, CIMH/ Heidelberg University
% Updates by Aleksander PF Domanski PhD U... |
26cf54b9b72d214185452096c96a03af6075a799dc65b8ef51c30b4675fd74b3 | MATLAB | 4,417 | 129 | %%
clear all
close all
run(['..' filesep 'def_local'])
addpath(path_fieldtrip)
ft_defaults
if ~exist(preproc_path, 'dir')
mkdir(preproc_path)
end
%%
manualRej = 0; % set flag to 1 in order to perform manual artefact rejection
if manualRej ~=1
fprintf('Manual artifact rejection switched off, loading bad... |
cf01b2ac0f73156ecea6341ade24c2a6be4201b5a8745515037ff5edf03778cc | MATLAB | 4,421 | 187 | % fresh start
clearvars
close all
%% run config
config_file='config_mammals_1.m';
addpath(strcat(pwd,'/config'))
run(config_file);
%% read in proc spreadsheet
filename = [ DD_PROC '/MamiNum_corrected_proc.txt' ] ;
ssheet = readtable(filename,'Delimiter','\t') ;
%% load centoid data from previosly
% filename = [ D... |
af1e50d5ffa17c38653b7f186a044efdc4181d5d2350596dd2eb54b058b4a207 | MATLAB | 4,422 | 170 |
% Figure 5_a
% Code to generate spiking example traces from V1 and V6 data
%% laod raw data
addpath data
load('Fig5_a_data.mat')
% start end end time when data was recorded
sessionStartT = 298;
sessionEndT = 939;
%% define which channels to plot
% for V1 plot
chp_V1 = [14:25]; % plot these channels from the sha... |
79ae326726a33f863449c56d9e0cb40f73eeb21a8a94c3897835c8efa59c5765 | MATLAB | 4,424 | 163 | function [w, infos] = admm_robust_pca(problem, options)
% The alternating direction method of multipliers (ADMM) algorithm for robust PCA problem.
%
% Inputs:
% problem function (cost)
% options options
% Output:
% w solution of w
% infos information
%
% This file is part... |
80806b2a15298ce5fc842b4a247dfcbda9b3ac94fa6eeda2de9026b1e8027c5e | MATLAB | 4,426 | 145 | % PURPOSE: loads channel location information into an erpset
%
% FORMAT:
%
% ERP = erpchanedit(ERP, filename);
%
%
% See also borrowchanloc.m
%
%
% *** This function is part of ERPLAB Toolbox ***
% Author: Javier Lopez-Calderon && Johanna Kreither
% Center for Mind and Brain
% University of California, Davis,
% Davis, ... |
5afc5b03a0fc638b53b75313830a8b45fb519eb42eeead88ff33a7e0af154f68 | MATLAB | 4,427 | 132 | % PURPOSE: converts miliseconds into samples
%
% FORMAT:
%
% [p1 p2 checkw xlimc] = window2sample(ERPLAB, testwindow, fs, criteria)
%
% INPUT:
%
% ERPLAB - ERP or EEG structure
% testwindow - window in miliseconds. e.g [-200 150]
% fs - sample rate
% criteria - 'rigid' (pre... |
9a435582a54b4c270b9f67cc8e87e91aff59c273fc131ae006b86e68eed3c96f | MATLAB | 4,431 | 146 | function [Theta0,Re0] = lme_mass_fit_EMinit(X,Zcols,Y,ni,maskvtx,nit,prs)
% [Theta0,Re0] = lme_mass_fit_EMinit(X,Zcols,Y,ni,maskvtx,nit,prs)
%
% Starting values at each location for the linear mixed-effects iterative
% estimation. These starting values are based on the ordinary least squares
% estimators plus some fa... |
5a428e5855faf3e288f369d3645b745863f233fde22c7bf851832031ac094e0d | MATLAB | 4,432 | 118 | function b=addtotpdatabase(ds,nameref,listofcells,listofcellnames,varargin)
% ADDTOTPDATABASE - Add cells to experiment database
%
% B=ADDTOTPDATABSE(MYDIRSTRUCT,NAMEREF,LISTOFCELLS,...
% LISTOFCELLNAMES,VARARGIN)
%
% Adds cells to database;
%
datestr = getpathname(ds);
if datestr(end)==filesep, datestr =... |
c3881268bef909b6c256fcc309c584c6007eabc24e588c1c4b46cf1311d7aca0 | MATLAB | 4,448 | 97 | function [ trainPerformance,testPerformance,validationPerformance, trainrmse, testrmse,validationrmse ] = ANN_Net (Input,Target,hiddenLayerSize,Inds,trial)
trainrmse= cell(1,size (Inds,1)); % cell array for saving the RMSE values for train set
validationrmse= cell(1,size (Inds,1)); % cell array for saving th... |
9b730a33f571a0ab5f2d402989ecc4e71950129424d73d9111a221352fd5b2bb | MATLAB | 4,456 | 118 |
function [mskNrn, msknum, MASK ]= Func_SegmentationOrganoids(im_stack)
figure(5);clf;
i_eq = im_stack ;
level = 0.45 ;
min_size = 10 ;
max_size = 100 ;
%extract ROIs
% if method == 1
%WATERSHED
% set(handles.text1,'String', 'Measuring ROIS (wate... |
497546d0b516c437f2ac03e294babd34c0fb3e15e4e80e1e2eacd63ab151065c | MATLAB | 4,465 | 206 | function varargout = ep_AddSubject(varargin)
% S = ep_AddSubject(S,boxids)
%
% Optionally input a structure S with fields already populated.
%
% Output/Input(optional) structure:
% S.BoxID
% S.Name
% S.Weight
% S.Sex
% S.Species
% S.Notes
%
% A second optional input can be used to specify Box IDs.
% BoxIds = [3 4 6... |
57944055e09c3b0a08b283c1cb65d530c81cc5058db8eb3015e8cef61b8e0d95 | MATLAB | 4,470 | 155 | function NextTrialID = TwoChoice_GellermannRand(TRIALS)
% NextTrialID = TwoChoice_GellermannRand(TRIALS)
%
% Use Gellermann's rules for two alternative choice task trial sequences
% (Gllermann, 1933).
%
% DJS (c) 2011
% Converted for Epsych 6/2015
persistent GSEQ GSEQseed schidx
global AX RUNTIME
try
if isem... |
7d330142c588692214795236923fa349116ec6e51681e64b37fccff9ce513416 | MATLAB | 4,477 | 127 | function [P, hw, Fc, Fb] = my_sub_sep_cwt(x, f, option, f0, Fb, fs, plot_cwt)
% this sub-function is used to estimate PSD using wavelet transform (the
% wavelet basis is selected as the type proposed By Tognola)
% 'P' is used for illustration, and 'phi' is used for signal reconstruction
% option: 'normal' means sl... |
207669dca36e563a404f05f8d7ca879437a0d6ef039b8029d3508a90e397b059 | MATLAB | 4,481 | 85 | % test_str2html - test script to run a simple and more complex tests
%
% 1st test will create a GUI which has 2 uicontrols with HTML format text
% in this test each line has the same format
%
% 2nd test will create a GUI with 3 uicontrols, where each line can have
% a combination of html formatting... |
eaae044bbbfced35de3faafaa3ad1ac65b9205bb08edcb8441e089d5da92eb43 | MATLAB | 4,481 | 189 | % PURPOSE: pop_renameeg.m
% rename ALLEEGset
%
% FORMAT:
% [ALLEEG, erpcom] = pop_renameeg( ALLEEG, 'eegnames',eegnames,...
% 'Saveas', 'off', 'History', 'gui');
% Inputs:
%
%ALLEEG -ALLEEG structure
%eegnames -strings for erpsets
% *** This function is part of ALLEEGLAB Studio **... |
1c58a8d734a9564ba01070a3b946e1dc63f8a6506363b70949ec1872e482f695 | MATLAB | 4,483 | 153 | % PURPOSE: subroutine for pop_savemyerp.m
%
% FORMAT:
%
% [ERP serror]= saveERP(ERP, erpnamex, filenamex)
%
%
% *** This function is part of ERPLAB Toolbox ***
% Author: Javier Lopez-Calderon & Steven Luck
% Center for Mind and Brain
% University of California, Davis,
% Davis, CA
% 2009
%b8d3721ed219e65100184c6b95db20... |
44b4cf95e42feca85ce544dfc38dbd7fe3349f138463181cc20f8cda879a9536 | MATLAB | 4,483 | 133 | %% Parametmers
%
% Set 'datadir' to the path where your tank(s) exist or your computer. This is not the tank name, but the directory just above it.
%
% Set 'sevevnt' as the name of the streamed data macro that was set in your RPvds circuit. It will be 4 characters long.
%
% 'trodes' is a cell array of electrode group... |
783ef32b94cdcb11da58668d1d71acd7860ad0be22fbe04ac08f1581b28e069f | MATLAB | 4,484 | 157 | function plot_w_vs_tau_info_motoneuron
% Simulate zebrafish embryonic motoneurons' calcium transients
% with empirically observed statistics of the data
%
% Compute the directional preference W_{IR} and W_{RC} as a function of
% information propagation time scale tau_{info}
%
% Fix tau_ca = 2.5s, tau_sampling = 0.25s, ... |
92678f8db02730d9a8e94b49cde929cf05a0aedc79b33dca893537884de8ab7a | MATLAB | 4,487 | 126 | % PURPOSE: Adds ERPLAB buttons to figure toolbar
%
%
%
% *** This function is part of ERPLAB Toolbox ***
% Author: Javier Lopez-Calderon
% Center for Mind and Brain
% University of California, Davis,
% Davis, CA
% 2012
%b8d3721ed219e65100184c6b95db209bb8d3721ed219e65100184c6b95db209b
%
% ERPLAB Toolbox
% Copyright © 2... |
03d127887a34f638a776bdcd080f3bb11b39be3165602457289dea4019b9abf3 | MATLAB | 4,489 | 93 | %%
clear all
close all
run(['..' filesep 'def_local'])
addpath(path_fieldtrip)
ft_defaults
%%
allfiles={'405','406','407','408','409','410','411','412','413','414','415','416','417','418','419','420','421','422','423'};
try
badEpochs = readtable([SWS 'EEGpreproc' filesep 'wsws_badEpochs.csv']);
badEpochs ... |
58d8085f5b81973c72672cd11e6d6868258ba02d1a5f5ecc23869588534640f4 | MATLAB | 4,500 | 152 | % Fig 2 - proportion of units in assemblies
% Delays_ = {'Short','Medium','Long'};
Areas = {'HP','PFC'};
pat = 'C:\Analysis\AssemblyAnalysis\raw\KDE_binsTaskonly\LONGTaskonly\';
cd(pat)
%%%%%
fileList=dir('*_FSC.mat');
%%
for iFile =1:length(fileList)
%%%%%
% fname=strtok(fileList(iFile).name,'_')... |
88ad37778a7f533c5b67afd65893b4a82b39e0480accefc50016ac9daeb659ff | MATLAB | 4,500 | 162 | function sandrine2vhlabtstack(source, destination)
% SANDRINE2VHLAB - Convert from Sandrine's format to VHLAB-style tiff stacks
%
% SANDRINE2VHLAB(SOURCEFILE, DESTINATION)
%
% SOURCEFILE and DESTINATION should have full paths
%
% Example:
%
% sandrine2vhlabtstack('C:\mydataorig\myfile.lif','C:\myvhdata\2012-0... |
e49e0192883137d7049873236d24589694a3f39b51e9a338746648fee153b848 | MATLAB | 4,504 | 166 | function varargout = DB_PlotPSTH(unit_id,varargin)
% varargout = DB_PlotPSTH(unit_id,varargin)
% defaults
binsize = 0.001;
shapefunc = 'mean';
win = [-0.05 0.1];
kernel = 5;
convolve = false;
fh = [];
resamp = 1;
kstype = 'unequal';
ksalpha = 0.05;
ParseVarargin({'fh','rwin','... |
9de3db83abcf85bc6ac5aafde38b22094b2c32e9d575c0472567ff1fbff413ae | MATLAB | 4,512 | 156 | function [] = cr_coherence_all(data, Pxx, CBF)
% A function to calculate the coherence of all pairwise pixel coherences in that video.
%% Define variables
nfreqs = CBF.nfft/2+1;
iw_min=1+round(CBF.w_min/CBF.Fs*CBF.n);
%% Calculate both the pairwise cross-spectrum and pairwise mscoherence
% Subsample
ma... |
6d89956cb3b54b7c0e522c6cbb46b4af79305f243cc21cf38ed79c8316a8453b | MATLAB | 4,517 | 158 | %=====================================================
% FileName: motion_correction_1000.m
% Designer: Zhe
% Modified: 05/29/2021
% Describe: Extract 1000 frames of image from TIFF and store in image.bin
% Perform matlab simulation of motion correction for 1000 frames.
%======================================... |
4681b2086ad566004d176c76510f6755dc992ba57cf1d5bec152618963d38753 | MATLAB | 4,521 | 128 | % PURPOSE: reads message to be displayed at pop functions' completion statement
%
% FORMAT:
%
% [msg2show msgori mcolor] = readmsg2end(textin);
%
%
% *** This function is part of ERPLAB Toolbox ***
% Author: Javier Lopez-Calderon
% Center for Mind and Brain
% University of California, Davis,
% Davis, CA
% 2009
%b8d37... |
be008fc078396388f77493585996b858497457643ea439a6206dfd2b708c896b | MATLAB | 4,529 | 138 | function [] = setupComputeStructuresHost(obj, reset, order)
if(nargin < 2)
reset = false;
end
if(~isempty(obj.LL_info) && ~reset)
return;
end
if(nargin < 3 || isempty(order))
if(obj.isSimultaneousPopulation)
order = 1:numel(obj.trials);
else
[neuronIdx,order] = sort(obj.neuronIdx);
... |
d1e770a5f4130564901222dd9c74df4cd75baf9709d2f3b4462fce412b5b70ee | MATLAB | 4,530 | 103 | %%%%%%%%
%%%% Blink detection using the 'validity' measure from the Tobii system
%%%% Will be detected as a blink, episods with eye-closed of a certain
%%%% durations
%%%%
%%%% Inputs:
%%%% - data (2D or 3D matrix with validity of eye-recordings for both eyes
%%%% for continous (samples*eye) data or epoched (trial*sa... |
687135e7f9d6b021ac96409cc8116b05bf6a4db04b76e9dc8b13c4095704c4c9 | MATLAB | 4,535 | 141 | function [results_group] = scaleDerivatives(results_group, params_group, prior_setup, addPriorForVT, precomputedPortion)
H = double(params_group.H(:));
D = numel(params_group.T) + 1; % order
R = size(params_group.V,2); % rank
compute_dH = isfield(results_group, 'dH') && ~isempty(results_group.dH);
if(prior_setup.i... |
58ca5a8d708d40f37102710cd2b99266101b44226d588b30ad53cb70cfa37149 | MATLAB | 4,537 | 130 | %% Master Analysis file
% All analysis performed on light transmission recordings of ciliary beating in the zebrafish nose
% It is possible to run the analysis on aligned data.
% Assumes that the input file is a .mat file, and only contains one variable with the recording
%% Step 0: Select the recording
% Sel... |
fc9ff24dff4952672453fe55fa61b71f531f33dfdea7d41899fdde65241503e2 | MATLAB | 4,537 | 194 | function [lp, dlp_w, dlp_log_scales, dlp_h, D, Q] = scaledGaussianComponent(ws, mu, log_scales_0, H_c, comp_prior_setup)
% i.i.d. multivariate zero-mean normal prior distribution over columns of ws with covariance matrix
% defined in GMLMprior_dmcStimVar
%
% calculates prior and all derivatives
if(isempty(H_c) && ise... |
02a0500091bbba47da32333a6df4d1b6950acefb63d8fee602aa2dfbf3dfae52 | MATLAB | 4,539 | 172 | %% Triple Correlation Script - Figure 2
clearvars
clc
close all
C=150; % columns
R=150; % rows
%define the frequency
f = 0.08;
% deterministic component
t=0:C-1;
s=1*sin(2*pi*f*t);
S=zeros(R,C);
for ch=1:R
ph=0;
S(ch,:)=1*(((sin(2*pi*f*t+ph)+1)/2));
end
%addition of noise
y=rand(R,C)... |
e22cb57437aee5a3d0202e8ca94f1ae9d689236fd20f74df0d9828194f8286d0 | MATLAB | 4,543 | 77 | function ExclusionAnalysis(Subregions,FolderPaths)
% Compares the results from WLS analyses with OLS analyses conducted using a range of exclusion threshold.
% INPUTS:
% - Subregions: 'p1' and/or 'p2' depending on the tissue class of
% interest. Initialized in RunQUIQI
% - FolderPaths: structure containing th... |
3d7bdcabc09d211a9d91feffe8496ffb7ec04eb44da85a2ba0327da1a8c0cc49 | MATLAB | 4,546 | 157 | function varargout = f_EEG_update_gui(varargin)
% F_EEG_UPDATE_GUI MATLAB code for f_EEG_update_gui.fig
% F_EEG_UPDATE_GUI, by itself, creates a new F_EEG_UPDATE_GUI or raises the existing
% singleton*.
%
% H = F_EEG_UPDATE_GUI returns the handle to a new F_EEG_UPDATE_GUI or the handle to
% the exis... |
b49c228a8efb50a9416bfb8cbfbcd1cfbdbf5aa59acd8029847057c58029802a | MATLAB | 4,546 | 165 | % PURPOSE : Exports ERP to text (readable by ERPSS)
%
% FORMAT :
%
% pop_erp2asc( ERP, filename )
%
% INPUTS :
%
% ERP - input dataset
% Filename - file output
%
%
% OUTPUTS
%
% - outputted text file 'filename.txt' of ERP data, readable by ERPSS
%
% EXAMPLE :
%
% pop_erp2asc( ERP, 'S1_EEG_ERPs.erp'... |
f7ce5aaa0d4a9b9f5768807f890012fca71dcfc12aa098bbc0c34bd940a446bb | MATLAB | 4,546 | 76 | function segmentedFiber = get_long_fib_struct(MRG, fibDiam, nodalIndex)
% GET_LONG_FIB_STRUCT calculates the longitudinal structure of the fiber's
% part of interest, i.e. the part of the fiber for which the potentials are
% to be extracted
%% parameters
% number of sections between the nodes of Ranvier
nSecti... |
2a72f61bbda8edb6892701b989b09c528f4a19ae0b2b5a38a014c6788b6e4218 | MATLAB | 4,547 | 160 | % pop_visualareatemplate() - Fit data with area templates
%
% Usage:
% >> [STUDY, ALLEEG, com] = pop_visualareatemplate(varargin)
%
% Inputs:
% STUDY - STUDY set structure containing (loaded) EEG dataset structures
% ALLEEG - ALLEEG vector of EEG structures, else a single EEG dataset.
%
% Outputs:
%... |
b5970e87d859eff421db786d4d54c00e76e8d8eb4a15860eefdb83ae6c415788 | MATLAB | 4,551 | 124 | %% creates basis functions for modeling the DMC task
%
%
% Uses modified cardinal splines from
% Sarmashghi, M., Jadhav, S. P., & Eden, U. (2021). Efficient Spline Regression for Neural Spiking Data. bioRxiv.
%
%
function [bases] = setupBasis_spline(binSize_ms, stimLength_ms, delayPeriod_ms, highResPostStim_on_ms,... |
2b42e081354bca333d454f593a2545702c9b0b757c8e47559fa6edae479b8eae | MATLAB | 4,553 | 126 | %% FINAL - Plot all activations on continuous timesale with units overlaid - one example assembly showing non-member units
SF = 1.2;
SF_Ass = 5;
bounds_ = 10;
Offset = 4;
plotNonMembers = false;
tExtreme = [5240 5490];
% tExtreme = [5000 8000];
shading_ = [0.3 0.3];
TrialSkip = 2;
tlims_ = [...
t.Sh... |
2eec7ef70932c6376fcf4a07916b450f461b1215bbaaa6f054269e6ca809c02b | MATLAB | 4,554 | 120 | % Root class for composite user controls.
% Copyright 2008-2009 Levente Hunyadi
classdef UIControl < hgsetget
properties (Abstract, Dependent)
% The graphics handle that represents the entire user control.
% This handle is used in setting the parent, position, measurement
% unit, etc... |
6456981aecfd02e5507e67fca8e703bf93a141012f29a581821b97f93554a00e | MATLAB | 4,555 | 101 | function acc = getDecoding(db,P,decP)
% looping parameters
focusOnL = decP.focusOnL;
Pspk = P; % really suboptimal
Pspk.reductionMethod = 'SVD';
Pspk.pc2Keep = decP.pc2KeepSpk;
Pmot = P;
Pmot.reductionMethod = 'none';
Pmot.pc2Keep = decP.pc2KeepMot;
Pmot.zscore = 0;
... |
fa4c2b051e4bbc29c64794e2b0a9383db78d004c83c9c1ceeb34c909f3009ee4 | MATLAB | 4,558 | 133 | function KM_rotationNumber(fpath,simPar,modPar)
%%% 26-01-23 first commit
f_stim = modPar.f_stim;
PRCfName = modPar.PRCfName;
Delta_f_0 = modPar.Delta_f_0;
k = modPar.k;
theta_0_mean = modPar.theta_0_mean;
theta_0_std = modPar.theta_0_std;
xi = modPar.xi;
N ... |
ffde63376ad55bf105b35bc11f80e672cbf7666a72b17ff3de62921ca2ace825 | MATLAB | 4,574 | 139 | function CreateLabeledClips(self, varargin)
p = inputParser;
p.KeepUnmatched=true;
addOptional(p, 'PlaybackSpeed', 1);
addOptional(p, 'Scale', 1);
addOptional(p, 'FontSize', 16);
addOptional(p, 'ColorScheme', 'dark')
parse(p,varargin{:});
playbackSpeed = p.Results.PlaybackSpeed;
scale = p.Results.Scale;
fontSize = p.... |
9e7eb1d7307ec3c96df54ce67447c60361b12365a16432d501033d3653800057 | MATLAB | 4,580 | 166 |
projectFolder = '/Users/harriscaw/Documents/Behavior classification/Projects/JuangDemo';
project = DeepActionProject(projectFolder);
% project.CreateProject()
demoDataFolder = '/Users/harriscaw/Documents/Behavior classification/DeepAction datasets/demo_data'
demoVideoFolder = fullfile(demoDataFolder, 'videos');
demo... |
8446d31e53c5e0b770c5b11d510071a1a66bc645c8eabf7b6f75ceeb6716f8d8 | MATLAB | 4,585 | 135 | function [Ke,qe] = keq4e(Ee,Ge,Se,Xe,Set)
%***************************************************
% KeQ4E:
% Creates the element stiffness matrix of elastic
% quadrilateral 4-node element in plane stress or
% plane strain.
% If Xe contains 8 node coordinate set the stiff-
% ness matrix of 8-node element with qua... |
68174aaaaee30db944e7a84442b9a5d7a7e1eb76310a51d3277aaa805a7939ee | MATLAB | 4,593 | 135 | function NextTrialID = TrialFcn_AversiveAnimalTrig(TRIALS)
% NextTrialID = TrialFcn_AversiveAnimalTrig(TRIALS)
%
% This is the default function for selecting the next trial and can be
% overridden by specifying a custom function name in ep_ExperimentDesign.
% The code in this function serves as a good template for cus... |
fc2dd8cf29d991af02ce28bb9580d5ef971d953c20e83cb048e78063fe521b1d | MATLAB | 4,607 | 122 | function [n1_peak_amplitude_check, n1_peak_sample_check ] = ccep_visualcheck_n1peak_ECoG(average_ccep, ccep,average_ccep_names,channel_names,tt,n1_peak_amplitude,n1_peak_sample)
%
% function ccep_visualcheck_n1peak_ECoG(average_ccep, average_ccep_names,...
% ccep,tt,n1_peak_amplitude,n1_peak_sample)
%
% Function plo... |
b92dc8f071f19ac1ab7055e82e190e7c6b387ca2438af73c0660e9cc2553c722 | MATLAB | 4,608 | 210 | function PlotBehaviorResults
%---Script that analyzes behavior data from AM Rate Discrimination Task.
%Created 09/08/2017 JDY.
%1) Click Run ("Play" button)
clear all
close all
clc
%---Load Data---%
[f,p] = uigetfile;
file = [p f];
load(file)
D = extractfields(Data);
%---Organize Data---%
DATA = GetData(D,Info)... |
53ffb2b845805ccf2300289e8f9be30d430ab40b4e13368a25eb4b8625dbe44e | MATLAB | 4,611 | 123 | function [CVE,...
Score,...
Score_Shuffled,...
Score_ShuffledCIL,...
Score_ShuffledCIH,...
CVE_shuffledHL] ...
= RunDecodeGroups( unitIds , nReps , Ltrials_ , Rtrials_ , TrialsSubsample , InfoCriteria , timeRange)
% Wrapper function for Decod... |
6ff826f563152c51aaa269ca5006656764d7289e9c79b7462e29273d4290cf8c | MATLAB | 4,617 | 141 | function [HITind,MISSind,CRind,FAind,GOind,NOGOind,REMINDind,reminders,...
variables,TrialTypeInd,TrialType,waterupdate,handles,bits,varargout] = ...
update_params_runtime_SanesLab(waterupdate,ntrials,handles,bits)
%[HITind,MISSind,CRind,FAind,GOind,NOGOind,REMINDind,reminders,variables,...
% TrialTypeInd,Tri... |
045c967b5f6697e9f4b710780a15affb6f043b69b086401173fdc08ce2f0a06e | MATLAB | 4,619 | 116 | function [model, model_SDPdcSL] = qtipm_pipe_SDPdcSL_SDPdcmSL(data,btensors,D0,mask,nvox,mcheckflag,ind,parallel,cvxsolver)
% function qtip_pipe_SDPdc_SDPdcm()
%
%
% utility to not have to reshape the data between fits
% reshape data and retain voxels within the mask
siz = size(data);
data = reshape(data, prod(siz(1:... |
2a2ea4412442221dd55636af72da038ffa7dd6437e03a320fcf3398693353b51 | MATLAB | 4,623 | 77 | function [ mappOut ] = getMappingV1V6( mappNameIn ,type, sessionID)
%GETMAPPINGV1V6 get channel mapping for individual shanks in V1 and V6
% Call the function like this: getMappingV1V6('V1_1B','raw',321) and it will return
% a vector of channel numbers in the order of superficial->deep
% if mappNameIn is 'all', t... |
3f01a1e9ec50a64ca2d4a776025f09e2f983eb2dca1a9f8f200a25d41e23f7df | MATLAB | 4,629 | 147 | % Explore single unit vs. assembly performance in decoding behaviour
clear all; close all
target = 'LONG';
pat = 'C:\Analysis\AssemblyAnalysis\raw\KDE_bins';
% A=dir([pat '*PFC_iFR50*.mat']);
A=dir([pat filesep '*' target '*', '*PFC_iFR50*.mat']);
for i=1:length(A)
k=findstr(A(i).name,'_'); r=findstr(A(i).name,'.... |
75d5e8a174cdb73a3f8c11919fda7338fe9ea3f9eeb78d5ff6a6101cfddbacb8 | MATLAB | 4,631 | 143 | function [pval,rho] = SStat_mass_PHTest(X,d,t,Y,stats_PH,maskvtx)
% [pval,rho] = SStat_mass_PHTest(X,d,t,Y,stats_PH,maskvtx)
%
% Vertex/voxel-wise Schoenfeld residuals test for the proportional hazards
% assumption.
%
% Input
% X: Design Matrix with the time-independent covariates. (mxp, m # of
% subjects, p # of cova... |
2778f49c8b5f80ce5bcab32e2167152242003b7bdacb93316c31758e89bde8cc | MATLAB | 4,635 | 171 | function model = qtipm_data2fit_SDPdcSL(signal,bten,varargin)
% function model = qtipm_data2fit_SDPdcSL()
%
% out_flag says which format to use for m :
% out_flag = 1 -> [28*nvox,1]
% out_flag = 0 -> [28, nvox]
nmeas = size(bten,1);
%... |
04a07711907407cc597dc12fd8619b80c4c895188e877e2676ccdd75f8698447 | MATLAB | 4,637 | 148 | function DisplayProgress(currIdx, endIdx, varargin)
p = inputParser;
addOptional(p, 'SimpleOutput', false);
addOptional(p, 'CurrentName', []);
addOptional(p, 'ShowAllOutput', true);
addOptional(p, 'TotalUpdates', 1000);
parse(p, varargin{:});
showAllOutput = p.Results.ShowAllOutput;
if p.Results.SimpleOutput == true... |
56a52716f823ee3ae150baf4c4d967234b242624b17841a02cb11e7b90660725 | MATLAB | 4,637 | 89 | % This script estimates single-level GLM parameters
% during Stroop and Swimmy tasks (Okayasu et al. 2023)
% and works on SPM12 (https://www.fil.ion.ucl.ac.uk/spm/).
function singleGLM
tic;
nsub=32; %strool vocal: 32; stroop manual: 31; swimmy vocal: 27; swimmy manual: 28. See Fig 1g.
for i=1:nsub
... |
c0ed62344c7123f2de67e9b3f4260da872ada5df87a780dbc970cc034bdb54a0 | MATLAB | 4,639 | 189 | function updateTimeline_WE(width)
%
% Function used to continuously shift the timeline slightly ahead of the
% current time every two seconds.
%
% width - time window in seconds in which show of events
%
global DA gf h
fig = h.timelineF;
ax = h.timelineA;
% X axis
xMax(2) = ceil(gf.sessionTime); % session tim... |
f02ce0346df69a3f6c14e507653147b3ad7bfbc3383e3baa81af5334e980ab60 | MATLAB | 4,639 | 160 | %%
expt = 'MAIZE';
DB_Connect;
mym('use','ds_a1_modulates_mgb');
%%
prot = 'RIF';
sortparams = {'Levl'};
win = [-0.1 0.1];
binsize = 0.001;
gw = gausswin(3);
mstr = sprintf(['SELECT b.id AS block, u.id AS unit FROM blocks b ', ...
'JOIN tanks t ON t.id = b.tank_id ', ...
'JOIN channels c ON b.id = c.blo... |
653dd06d550c9dd1afbcf3239d9a87b98cca5205d204229e470c9395a59b4fcf | MATLAB | 4,644 | 158 | function fx_calculate_temporal_sta_randomized_spikes(index, tb, llfp_type,...
clip_length, downsample_factor)
file_id = tb.file_id{index}
seizure_onset = tb.seizure_onset(index)
seizure_end = tb.seizure_end(index)
% load appropriate LLFP file (whitened vs. unwhitened)
if strcmp(llfp_type, 'unw... |
989350451beb642faa1a8cd70162eecf6bf58a61e7efc21960ae28eb9fb254c3 | MATLAB | 4,645 | 194 | % PURPOSE: pop_renamerp.m
% rename ALLERPset
%
% FORMAT:
% [ALLERP, erpcom] = pop_renamerp( ALLERP, 'erpnames',erpnames,...
% 'Saveas', 'off', 'History', 'gui');
% Inputs:
%
%ALLERP -ALLERP structure
%erpnames -strings for erpsets
% *** This function is part of ALLERPLAB Studio **... |
f4954393395ac1de81697b5af4034bd44d8200557dc62f7cf9497ebd38d7cb63 | MATLAB | 4,650 | 133 | %% finite difference tool for all GMLM parameters
% can check with stochastic gradients by giving a "numberOfTrialsForSGrun" (weights per trial will be random)
function [results_est, results_all, ll_host, params, opts_all] = checkDerivatives(gmlm, params, numberOfTrialsForSGrun, perNeuronWeights, use_posterior)
if(nar... |
b62d582b704e4a462e7895e6862798ba18e8ecaadfdaed4795b2c192b32b0b87 | MATLAB | 4,653 | 152 | classdef FrameReader
properties
Path % path of the input video
ImageType
% Reader - Reader for .seq and standard video formats
Reader
CurrentIndex % current frame index
NumFrames
Dimensions
FrameRate
... |
882c8cd54c503866279853e19a5c2ac8fd77a8f0f5addb5d7361657b3001e4f9 | MATLAB | 4,659 | 191 | hFig = figure('Renderer', 'zbuffer');
hAxes = axes;
lightangle(0,90);
numPts = 4;
Center = [ 0 0 0];
Circle = CirclePatch(numPts,1, [0 0 1]);
Verts = [Center;
Circle];
T = ones(numPts,3);
for(i = 1:numPts-1)
T(i,:) = [1 i+1 i+2];
end
T(numPts,:) = [1 numPts+1 2];
A = [0 1 0];
B = [5 0 0]; ... |
d6b7391644516977c80a29920da3016d4778cc6d5c49c6abc60585f794fa5163 | MATLAB | 4,659 | 130 | function [Pxx, val] = cr_coherence_ref(data, CBF)
% A function to calculate the coherence of one reference pixel with all other pixels
% in that video.
% The code is largely based on the mscohere() function in Matlab, but
% slightly optimized for speed.
% https://se.mathworks.com/help/signal/ref/mscohere.html... |
6784e0691416669d6f238fe14b3f2ab7f2c208235850d2397ca6fa5a590b92c5 | MATLAB | 4,661 | 169 | function [Problem] = l1_logistic_regression(x_train, y_train, x_test, y_test, varargin)
% This file defines logistic regression (binary classifier) problem with l1-norm.
%
% Inputs:
% x_train train data matrix of x of size dxn.
% y_train train data vector of y of size 1xn.
% x_test test d... |
4c548275c98be6d5ba1819846d28166aaab421da30313f5a7c0acf6248c19dea | MATLAB | 4,662 | 162 | function [thresh, reject] = calculate_thresholds( Phys, segment_length_s, Threshold, win, fs )
% [thresh, reject] = calculate_thresholds( Phys, trial_length_s )
% Called by pp_sort_session. Launches a gui in which a random trial is
% selected and filtered Phys data is displayed for 4 channels at a time.
% Wai... |
86adc3ed240276508fd24a4e4108d1b8f19477197bdffbab0b956c28ca0f149d | MATLAB | 4,664 | 133 | function data_pupil=get_Tobii_cleanpupil(rawdata_pupil,SR,data_time,rawblinks)
data_pupil=rawdata_pupil;
% data_pupil(data_pupil<100)=NaN;
% blinks=EL_events.Blinks;
blinks.start=rawblinks(:,2);
blinks.end=rawblinks(:,3);
blinks.duration=blinks.end-blinks.start;
fprintf('... ... cleaning blinks (linear interpolation)\... |
10b0af4d98d790ece6db799bc8710cc20cac3b14e16226d2f9b1d89f22c4caad | MATLAB | 4,665 | 136 | function u = ridge_loo_optimisation(YY,XX,lambda,throw_away,opt_stats_dir)
% Uses data from multiple subjects and calculates the average
% prediction error across the subjects for the particular lambda. The
% prediction error is calculated using leave-one-subject-out
% cross-validation.
%
% Inputs:
%
% YY ... |
fdb72234688d3a17b60257e2a73c89ad0a5e3e654c0d683b3b2a7dc531beaf43 | MATLAB | 4,670 | 117 | %% Preamble, get file list
clear all; close all
set(0,'DefaultFigureWindowStyle','docked')
flags.plotIndividualChanges = false;
% pat{1} - % location of the processed assembly memberships
% pat{2} - % location of raw spike times
if ispc
% pat{1} = 'C:\Analysis\AssemblyAnalysis\Sleep\Decoding vs flanki... |
f2e039333f6bbfd1b45445426c4848517cb42a88cb54ba96251e4b60b0f15586 | MATLAB | 4,673 | 154 | function [stats,st] = lme_fit_FS(X,Zcols,y,ni,e)
% [stats,st] = lme_fit_FS(X,Zcols,y,ni,e)
%
% Linear mixed-effects estimation by the Fisher scoring algorithm.
%
% Input
% X: Ordered design Matrix (according to time for each subject).
% Zcols: Vector with the indices of the colums of X that will be considered
% as rand... |
4c9492266fd2500f295cea612c08501ff9daf5f16dfb9c92f45f02b78ba69ee8 | MATLAB | 4,680 | 133 | % Script for potentials extraction in MPH files for boundaries condition
% The script cycle on the number of boundaries condition (number of saline
% cylinders) and the number of testing condition (points of stimulation);
% for each combination of those the potentials in the endoneuriua are
% computed extracted.
... |
f5a1af0ec80dda1bfe02c8ce093125f7e86a8b36f2acd349ecafe47320495bbc | MATLAB | 4,685 | 100 | function A = DEKF(y,p)
%Dual Extended Klman Filter (DEKF) for MVAR parameter estimation
%
% Arguments:
% A: Estimated time-varying parameters, A = [A1 A2 ... Ar]
% y: (CH x LEN) data matrix
% p: Model order
%
%
% References:
% [1] E. A. Wan, and A. T. Nelson, Neural dual extended Kalman filtering: applicati... |
c83a0b2fc05865e12cef5adddce35fd1764614b686716353e4ff7d73f8f0c02f | MATLAB | 4,687 | 153 | function [ Faces ] = BuildFacesForBifurcatedTriangle( VO, VA, VB, iLineVerts, OverlappingVerts, InternalVerts )
%BuildFacesForBifurcatedTriangle VO, VA, VB defines a triangle which has
%had a line drawn through the vertex at VO
%iAddedVerts contains a sorted list of all indicies that lie on the line
%through the tria... |
e5bc50de91ef89b97e190a34e2822c67482b7448259cafee2c3df891da845b73 | MATLAB | 4,687 | 171 | function [ ] = WriteVTK( C,E,Set,S,Sv,x,u,uExp,utot,t)
%% WriteVTK writes resuls in vtk format
% INPUT:
% C(e,:) connectivity of hexahedral element e
% E(e,:) = strains of element e: Exx,Eyy, Eyy, Exy,Exy,Exz,Eyz
% S(e,:) = Elastic stress of element e: Sxx,Syy, Syy,Sxy,Sxy,Sxz,Syz
% Sv(e,:) = viscous stress of elem... |
37538d43c0bfdc8e7a036c54c02608ec1d5cafbfa80c7965ed6dc18894027667 | MATLAB | 4,690 | 159 | fmax=12;
fmin=0.5;
p=0;
cd( '\\158.182.15.58\test2\Junhao');
% % File name
fileName = ['result_of_p' num2str(p) '_trial1'];
load(fileName);
data=VolE;
% Sampling frequency (in Hz)
Fs = 100;
% Scale by which to downsample spatially
mouseResize = 1;
% Flag to use mask located in meta.traceMask
useMask = 0;
% Spatial sel... |
e25714b2e6173ac650d6dd29e08daf9479aaa06204f56575e24a691ecf7058d5 | MATLAB | 4,696 | 158 | function newdata = chunkwiseDeline(data,sr,freqs,freqrange,chunksize,showOutput)
% newdata = chunkwiseDeline(data,sr,freqs,chunksize)
% Removes line noise from a signal in small chunks of data.
% data - an n x 1 vector containing continuous data
% sr - scalar, the sampling rate of the signal
% freqs - a vector of frequ... |
4f4a7dee299405ca0305c520d59e19dcd3c68ba1193935b306651a119c5f8d56 | MATLAB | 4,699 | 88 | %% fitPeakAndCoupledArtifacts.m
%
% part of https://github.com/LudgerS/MRSartifactRemoval
%
% Fits the sum of three complex Voigt peaks to spectrum of which two are
% coupled regarding their amplitude.
% Bayesian priors are placed on the peak locations, widths, Voigt mixing
% ratios, the ratio between the coup... |
f21e10a33f8bdd67670e25725ed80d1980e5f1017a70ea9532a3694d89308c01 | MATLAB | 4,704 | 218 | function PlotBehaviorResults
%---Script that analyzes behavior data from AM Rate Discrimination Task.
%Created 09/08/2017 JDY.
%1) Click Run ("Play" button)
% clear all
% close all
% clc
%---Load Data---%
[f,p] = uigetfile;
file = [p f];
load(file)
D = extractfields(Data);
%---Organize Data---%
DATA = GetData(D... |
ed9b2cbdeb6f5787ca8ce598a595bd6536d989dcfc9f38c692a36e6935684020 | MATLAB | 4,706 | 167 | function pp_plot_rasters(subject, session, channel, clu)
%
% pp_plot_rasters(subject, session, channel, clu)
% Plots a raster and psth for each unique stimulus. Clu is the label
% given by UMS (not an index), found in Spikes.sorted.labels.
%
% KP, 2016-04; last updated 2016-04
%
set(0,'DefaultAxesFontSize',... |
ae7863e1476e2b38bf4d571edc6324d45125ca58cf763783d7415cbb56042847 | MATLAB | 4,710 | 203 | function plot_TSlew(unit_id)
% plot_TSlew(unit_id)
%
% Plot and analyze temporal slewing experiment
%
% Daniel.Stolzberg@gmail.com 2014
if nargin == 0 || isempty(unit_id)
unit_id = getpref('DB_BROWSER_SELECTION','units');
end
f = findobj('tag','plot_TSlew');
if isempty(f)
f = figure('Color',[0.98... |
a21b4627021887dde25187b6d1a15b226ce0fecf2c576e1998b929c5cf7658f8 | MATLAB | 4,726 | 160 | fmax=12;
fmin=0.5;
p=0;
trial=1;
cd( '\\158.182.15.58\test2\Junhao');
% % File name
fileName = ['result_of_p' num2str(p) '_trial' num2str(trial)];
load(fileName);
data=VolE;
% Sampling frequency (in Hz)
Fs = 100;
% Scale by which to downsample spatially
mouseResize = 1;
% Flag to use mask located in meta.traceMask
use... |
61ffafda439f63ff6a76bb3305877f52594b31415d2ea1cb6f0831b86a142a1e | MATLAB | 4,727 | 190 | function varargout = BasicClassifier2(D,nReps,func,par)
% R = BasicClassifier2(D)
% R = BasicClassifier2(D,nReps)
% R = BasicClassifier2(D,nReps,func)
% R = BasicClassifier2(D,nReps,func,par)
% [R,Rshuff] = BasicClassifier2(D,...)
%
% D is an MxNxP data matrix with M samples from N observations in P
% categories.
%
% O... |
d14b080e6044dbbb3ba754153a0b0141ee8cdb94b1d152b857743c82a61463ac | MATLAB | 4,732 | 178 | % PURPOSE: pop_duplicatbest.m
% duplicate BESTsets
%
% FORMAT:
% [ALLBEST, bestcom] = pop_duplicatbest( ALLBEST, 'BESTArray',BESTArray,...
% 'Saveas', 'off', 'History', 'gui');
% Inputs:
%
%ALLBEST -ALLBEST structure
%BESTArray -index(es) of BESTArray
% *** This function is part of ERPLAB ... |
a07e18ea84727f22c3b8b644b5efb68688e8352a4ac3c376f2f581289830fea4 | MATLAB | 4,734 | 90 | function [val, formulaArray] = f_chan_testsyntaxtype(FormulaArrayIn, whocall)
val = 1;
formulaArray = FormulaArrayIn;
if isempty(formulaArray)
return
else
formulaArray = strtrim(cellstr(formulaArray));
end
nformulas = length(formulaArray);
[expspliter parts] = regexp(formulaArray, '=','match','split')... |
63f81a0aa418947d903d907647cb91f8a8dbbfd924a8063d4a01925796172d1f | MATLAB | 4,735 | 99 | function forward_projection(psf, poisson_noise, gaussian_noise, gaussian_sigma, brightness_adjust, gpu, source_path, save_path, bitdepth)
% FORWARD_PROJECTION projects the HR data into synthetic light field raw
% image
% forward_projection(psf, poisson_noise, gaussian_noise, gaussian_sigma,...
% ... |
be4086cb632846e8412f15047cc69ca77a4d42a2fb4eb7afa6647d82b99b0ba4 | MATLAB | 4,739 | 162 | %%
clear all
close all
run(['..' filesep 'def_local'])
addpath(path_fieldtrip)
ft_defaults
%%
allfiles={'405','406','407','408','409','410','411','412','413','414','415','416','417','418','419','420','421','422','423'};
timwin = [0.5, 3]; % time-window for analysis
nc=0;
for n=1:length(allfiles)
%%% Loading data... |
247d2622c298625786e89552027b965e6aaabb9aebfc3d18df679745a4ccdaf4 | MATLAB | 4,746 | 163 | %% Coherent moving dots
%
% Daniel.Stolzberg@gmail.com 2016
sca
num_coh_dots = 50; % number of coherently moving dots
dir_coh_dots = 0:20:340; % direction of coherently moving dots (clockwise starting from left in degrees)
num_dots = 50; % number of randomly moving dots
dot_size = 1; % degrees
dot_color = ... |
e289e01d1892ded60085a5bb1de589c398b2d04a2f572b545a81363ebc6b05ba | MATLAB | 4,747 | 103 | function [p_beta_CP, p_beta_CP_max] = compute_cluster_pv(all_t_beta, all_p_beta, ...
perm_cluster_t, criticals, all_names, n_perm, n_betas, n_chan, nF_data, nT_data, alpha)
% Compute the distribution of the cluster-level statistics based on
% shuffled data.
%
% Inputs
% all_t_beta: (n_betas, n_chan, nF_d... |
303316e1b8ea45c9b7fb942a35613aa4d7e5caa4006803551345c20f43356225 | MATLAB | 4,748 | 160 | function [] = cr_coherence_all_patch(data, Pxx, CBF, patch_no)
% A function to calculate the coherence of all pairwise pixel coherences in that video.
%% Define variables
nfreqs = CBF.nfft/2+1;
iw_min=1+round(CBF.w_min/CBF.Fs*CBF.n);
%% Calculate both the pairwise cross-spectrum and pairwise mscoherence
... |
e1cce3b259d8a3ee6ac58b7a6df009483a0d32c03570b0ec91f43b6be1bfe0df | MATLAB | 4,749 | 96 | function compartCoords = compartmentalize_fiber(fibers, fibId, MRG)
% COMPARTMENTALIZE_FIBER calculates the coordinates of the fiber nodes and
% compartments between by placing them on a spline fitted to the fiber
% coordinates, also applying a random longitudinal shift (deltaZ)
% compartCoords = COMPARTMENTALIZ... |
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