sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
c7c2dcebdf1abd3d9e5c18d59822300f94db21d2e1a1e3e9d34c765974bf1a4e | MATLAB | 4,468 | 186 | % xiayq @ 12/11/2022
% xiayq0121@zufe.edu.cn
% refered to Z. Yao and Y. Xia, Manifold Fitting under Unbounded Noise, arXiv:1909.10228
clear; %clc
% parameters for data
NumTrials = 20;
tau = 1; sigma = 0.01; %0.01
D = 2;
switch sigma
case 0.06
r1 = 1.6*sqrt(sigma);
r2 = 1.8*sqrt(sigma);
... |
3d0b5103f440280ffca8c799c25f98f49d7721b0eca3b78a9088c192a3d79768 | MATLAB | 4,470 | 162 | function [A,C] = FEM(surf)
%
%function [A C] = FEM(surf)
%
% Performs the finite element method (FEM) on a surface
% and computes A and C matrices.
%
% surf is a given as the default MATLAB surface mesh format
% A, C are sparse matrices. See references [1]-[3] for the definition of
% matrices and how they are mathemat... |
4599a7986659305893690621bc88636c6b5095327cb9831f408ce4433352cc98 | MATLAB | 4,471 | 142 | function M1 = spm_eeg_inv_datareg(S)
% Co-registration of two sets of fiducials according to sets of
% corresponding points and (optionally) headshapes.
% rigid co-registration
% 1: fiducials based (3 landmarks: nasion, left ear, right ear)
% 2: surface matching between sensor mesh and headshape
% ... |
70d6551bcdd96352cb10bd17a3add1ca4a04b6c9fab4c35c9201ea7052a90ca1 | MATLAB | 4,480 | 125 | function out = bIO(varargin)
% Use this function to read or write data to the network io device
%
% bIO(inputNumber) returns the status of the selected input
% bIO(outputNumber, status) sets the selected output to either 1 or 2
% bIO([], [], event) sets a 9 bit event to the IO device (only for CED 1401 hardware)
% bIO ... |
5ed596140b4d2f4c2776f59db4ffb8523cb8b01f8f462c02cc18d6e09ea19559 | MATLAB | 4,482 | 139 | %%% Motor Task
% Authors: Esra Al & Tilman Stephani, September 2019
fclose all;
close all;
cd D:\USER\Esra
addpath('D:\USER\Tilman\Other_toolboxes\Palamedes\Palamedes');
rand('state', sum(100*clock));
%% parameters
% Duration
t_resting_state_minutes = 3; % minutes
t_resting_state = t_resting_state_minute... |
a26cbaa036f85389f2388c3d71c271968ba9f331de6c0ab79cc7a00be41f936a | MATLAB | 4,483 | 87 | function gap_linking_str = fun_graph_connect_gap_ep2skl(vessel_image, vessel_mask, vessel_skl, ep_1_sub, ep_all_sub)
% fun_graph_connect_gap_ep2skl search the shortest path betwwen the
% endpoint and the skeleton within the masked found by threshold
% relaxation.
% Input:
% vessel_image: 3D numercal array, image
% ... |
2b9eddfdb4991a616cb54a712239cc4cebe2fb1da8e3c6d109a5fe17cd008bb9 | MATLAB | 4,489 | 96 | plotVariables.conditions = {'frequent', 'rare', 'short', 'long'};
plotVariables.originalConditions ={ 'short & frequent', 'long & frequent', 'short & rare', 'long & rare'};
plotVariables.diffWavesLabels = {'frequent - rare', 'short - long'};
%%
plotVariables.figure1.paperSize = [200 100];
plotVariables.figure1.posit... |
09051cc670a66cafd2f02bf89037496fb816d157246dc2661bf2bc541aef6b67 | MATLAB | 4,492 | 198 | function [coef codes] = ir_odwt1(x, varargin)
%function [coef codes] = ir_odwt1(x, varargin)
%|
%| 1D orthonormal discrete wavelet transform (ODWT) of (each column of) x
%|
%| in
%| x [N L] L signals of length N
%|
%| option
%| 'level' int default: 1
%| 'wname' char default: 'haar'
%| 'ortho' 0|1 default: 1
%| 'adj' 0... |
d034a91ab888d47c75748b1283357319f41415a56fdfd9e6462e50ec690d9578 | MATLAB | 4,492 | 132 | function [img, proj_out] = feldkamp(cg, ig, proj, varargin)
%function [img, proj_out] = feldkamp(cg, ig, proj, varargin)
%|
%| FBP reconstruction of cone-beam tomography data collected with
%| a circular source trajectory.
%| See feldkamp_example.m for example.
%|
%| in
%| cg ct_geom()
%| ig image_geom()
%| proj [... |
308726bb7f18dfdf3a73ca2389d2abaa87d3947b886ed491c5adb180c3458411 | MATLAB | 4,495 | 113 |
%% load data
% load('../data/simulations/RhoFitVTrue.mat');
%% Seeting up Data
% Rho_N,Rho_D
rhoBoot = fitParametersBoot(:,:,13:14);
rhoFit = fitParametersAll(:,13:14);
rhoTrue = trueParameters(:,13:14);
medCorr = abs(median(allCorr,2,'omitnan'));
[nPairs,nBoots,~] = size(rhoBoot);
rhoBootCI = prctile(rhoBoot,[5,95... |
7675600997a951e7776ccd873ed9a6307ec670f621d1119c351a6febfd4afdd2 | MATLAB | 4,495 | 97 | folder='/projectnb2/npbssmic/ns/Ann_7688/';
datapath=strcat(folder,'dist_corrected/');
% add subfunctions for the script. Change directory if not running on BU SCC
addpath('/projectnb/npbssmic/s/Matlab_code/fitting_code');
addpath('/projectnb/npbssmic/s/Matlab_code/PostProcessing');
addpath('/projectnb/npbssmic/s/Matla... |
a454ff57a55a706c88a6361a369c788425d44a6f6938fa642cf983feec39f30c | MATLAB | 4,496 | 145 | function c_plot_setEqualAxes(varargin)
% c_plot_setEqualAxes - set axis limits equal across multiple plots
% By default, this included color scales, and also links the axes so that changes to one plot
% affect all linked plots
%
% Example:
% figure;
% h1 = c_subplot(1,2);
% plot(rand(10,2));
% h2 = c_subplot(2,2);... |
4dadffd65865b34287b4f552ae6564193f840274e589c56940e3f1eb5300362a | MATLAB | 4,506 | 152 | %% Imports
addpath(genpath('../libraries/phastimate'));
addpath('../libraries/neurone_tools_for_matlab_1.1.3.11_mod');
addpath(genpath('../src'));
%%
lowColor = [20, 0, 255] / 255;
highColor = [1, 0, 0];
gold = [255, 179, 0] / 255;
alpha = 0.5;
dlDir = fullfile(getenv('USERPROFILE'), 'Downloads');
OUT_ = dlDir;
IN ... |
58c78f79daa8881733945e31017490bc1fc28d395cc035012db9b499a7a2349f | MATLAB | 4,506 | 129 | function [] = linearFilterStateKinematics(gen,meta)
close all
if ~exist(strcat(string(meta.plotFold),'/LinearFilterAnalysis/'), 'dir')
mkdir(strcat(string(meta.plotFold),'/LinearFilterAnalysis/'));
end
psFileName = strcat(string(meta.plotFold),'/LinearFilterAnalysis/LinearFilterStateKinematics.ps');
pdfFileName = ... |
597d6ad91f27e4b97621f27ddbc575fa87e8c03f18a844b724d41443564ebcd9 | MATLAB | 4,508 | 102 |
addpath(genpath('/Volumes/groups/giocomo/export/data/Users/KMasuda/Neuropixels/MalcolmFxn/'));
addpath(genpath('/Users/KeiMasuda/Documents/MATLAB/Add-Ons/Functions/gramm (complete data visualization toolbox, ggplot2_R-like)/code'));
addpath(genpath('/Volumes/groups/giocomo/export/data/Projects/JohnKei_NPH3/Uni... |
54215b7f7c1b6ec098bc4319c7bdba8b6d47df8ef311e8f0033d6526ce7f2cec | MATLAB | 4,511 | 141 | function plot_topography_searchlight (varargin)
%Author: Siying Xie (2022)
% default
obj = 'ctg';
% popu = 'ift';
chan = 'whol23c';
% meas = 'lda';
% custom setting
% for i = 1:2:length(varargin)
% param = varargin{i};
% value = varargin{i+1};
% if ~ischar(param)
% error('Flag arguments must be st... |
7ed49b2d6c53fe59e69829c693baadf032cb25d59fa27ce8fdf2755a1b240477 | MATLAB | 4,511 | 115 | function plot_decoding_full_experiment(subjects,task,analysis)
%PLOT_DECODING_FULL_EXPERIMENT Plot the results from decoding, averaged over
%all participants and subject-specific.
%
%Input: subject IDs, task (1=categorization,2=distraction), analysis
%('object_decoding' or 'category_decoding')
%
%Output: curve of decod... |
aa737c07247c6ae962ecadb9665a1a076606d0c31f4bec9d935452394167be3f | MATLAB | 4,512 | 157 | function [proba, pinf]=talmat(filename, th_pval, DirTable)
%
% Computes the probability of the Talairach transform matrix
% 'filename/mri/transforms/talairach.xfm'.
% Uses the mean vector and covariance matrix obtained with talairachin_table.m from
% the data set (default data set: /space/neo/2/recon/buck... |
ff0a216a15f4aaaba6057785b85b1c9ee86fcedb1412dc961d4879959b0b2da5 | MATLAB | 4,516 | 99 | glmFlag = 'all_regressors';
doReg = false; %apply regularisation?
lambda = 17.6; %4 * value used in Gonclaves et al 2014 (as our regularisation matrix is same as theirs, divided by 4)
vertical = 0;
options = continuous_RDK_set_options('LTHiMac');
% load all_responses,stim_streams, mean_stim_streams
load_name = fullfile... |
6313e14c6562b77be9186950e1cbc00fbc532ae6a1655e5f13f908d36beb195d | MATLAB | 4,519 | 133 | function outSet = simHawkesNet(ratefwd, parsMdl)
% Simulate a linear Hawkes process with ring structure.
% ratefwd is the firing rate in a time bin of the feedfoward input
% Wen-Hao Zhang,
% University of Pittsburgh
% July 2, 2019
% Release heavily used parameters from parsMdl
Ne = parsMdl.Ne;
Ni = parsMdl.... |
54c07bd23109f4e7354719c324afdabf66187702f0afe60ea07f561ce38bf5b5 | MATLAB | 4,521 | 120 | function makeSummaryFig(SUMMARY_STRUCT,EXIT_STRUCT,POKE_STRUCT,stat_int,titlestr)
%makeSummaryFig.m This function generates a summary figure from a
%summary_struct
close all; figure();
timenow = datestr(now,'mm_dd_yy');
tracklen = stat_int(2)-stat_int(1);
OK_frames_inlawn = SUMMARY_STRUCT.OK_FRAMES_IN_LAWN;
timevec = ... |
2f82db11b647895252b1e94a4f55541280b40f0c0d935f125196e580eecfc24b | MATLAB | 4,522 | 101 |
cd('X:\BendorLab\Drobo\Lab Members\Marta\Analysis\HIPP\P-ORA\P-ORA_Day5_16x8\Bayesian controls\One track norm_track good cells')
load('significant_replay_events_wcorr.mat');
load('extracted_place_fields_BAYESIAN.mat');
load('decoded_replay_events.mat');
one_track = significant_replay_events;
one_track_place_cells = pl... |
3739cb6fc352f6c827c3f0306b4265f65d32792b8edacda5f1cfd1b8beb9847c | MATLAB | 4,522 | 151 | function analyze_behavior_Fig1_Fig3_Sfig1
rootdir = 'C:\TKlab_agingPFC\';
cd(rootdir)
load Learning_values
figure( ...
'Position', [0 100 1000 1200 ], ...
'PaperOrientation', 'landscape', ...
'PaperUnit', 'inches', ...
'PaperPositi... |
3cfc6718463c2a51a567a36c5a89fa8de35f2592ec4735ffd95b14f2bba36bf2 | MATLAB | 4,523 | 162 | function [D, Isubj]=pons_cut_dir_adf(dirname,th_pval)
% For all the subjects in the directory "dirname":
% Computes the Dice coefficients D=2Nab/Na+Nb
% where:
% Na is the volume of the Cerebellum obtrained trough the volume-based labeling
% Nb is the volume "filled" ... |
0ce3520f9437d6b03c2cf83209aed27dac7acf886eedd471901e1ee2ea3bd6df | MATLAB | 4,527 | 135 | %MATLAB code to define peaks and troughs from waves in data from
%optogenetic stimulation of myofibers.
%Created by David Hardman, Usher Institute, University of Edinburgh
clear;
prompt = {'Input Filename:','Time Frame Length (s):','Pixel Width (um):','No. Rows;', 'Local max/min separation (Frames):','Output Filena... |
8a804a7e007ffede27ee736d3e14130df22f9825b5ca44357c0071be1446fb15 | MATLAB | 4,532 | 142 | function rnn_dth_all_layers(with_stats)
%RNN_DTH_ALL_LAYERS Performs distance-to-hyperplane using
%the distances-to-hyperplane using RNN dats. Plots all layers.
%
%Input: with stats (1 or 0)
%
%Saves the plot and correlation values.
%
%Author: Agnessa Karapetian, 2021
%% Add paths
addpath(genpath('/home/agnek95/SMST/... |
6556f48a9c9b6ffbd408aff66766195a54c9857883106f178375787555c43c4e | MATLAB | 4,533 | 130 |
function out = BO_IIS_Detect_Power_Rolston_v5(data,S_thresh,Fs,winW,plot_flag)
%adjusted version of John Rolston's (Rolston 2010 Epilepsia) interictal spike detection algorithm:
%now incorporates MATLAB's findpeaks function with a heuristic about spike
%frequency to improve robustness and avoid over-detecting tiny spi... |
c131ca25d754437967c2739757c9a538e6735f6c57813ce1b21e92595572b895 | MATLAB | 4,543 | 131 | function Ch1_place_field_stability_example_figure
load('X:\BendorLab\Drobo\Lab Members\Marta\Analysis\HIPP\Q-BLU\Q-BLU_Day8_16x8\extracted_lap_place_fields.mat')
load('X:\BendorLab\Drobo\Lab Members\Marta\Analysis\HIPP\Q-BLU\Q-BLU_Day8_16x8\extracted_position.mat')
figure;
c=1;
t = 3;
y_vector=[];
col = parula(lengt... |
0abd4f8e0da55858e19f7bec15d654ba1d9be00581cb3f7ca0e28653a5b58acd | MATLAB | 4,545 | 149 | function [RGB] = fn_roi2color(roi)
%% Returns the RGB color code to plot a given ROI
% INPUTS:
% roi [str or cell] - name (or list of names) of the ROI
% can be specific or general (e.g., DLPFC or LPFC)
% OUTPUTS:
% RGB [3 floats] - RGB for this ROI
%
% Values taken from: https://www.w3schools.com/colors/colo... |
da94ab075344a501fd7d3364f3b59f91ac9a6ec73428ed9a629d31a90ffe7dc7 | MATLAB | 4,546 | 188 | function [xs, info] = ir_inpaint_admm1(yi, samp, varargin)
%function [xs, info] = ir_inpaint_admm1(yi, samp, varargin)
%|
%| Image in-painting by cost function
%| cost(x) = 1/2 | y - diag(samp) x |_2^2 + beta * pot(C x)
%| minimized via ADMM algorithm (cf split Bregman) with v = C x split.
%|
%| in
%| yi [(N)] image ... |
3b6e89356b330d8de43629ea4a8c05219884977b5fa059ae356e919435f7d70a | MATLAB | 4,548 | 177 | function [fw, angle, rad] = fwhm2(psf, varargin)
%|function [fw, angle, rad] = fwhm2(psf, [options])
%|
%| compute 2d fwhm of point-spread function using contourc()
%|
%| in
%| psf [nx ny] 2D psf image
%|
%| option
%| 'dx' pixel size (default 1)
%| 'dy' pixel size (default dx)
%| 'level' default 0.5 (for "half" ma... |
8ac33c9d38eebcd44a9f89f7473208661a87bcd4388d95eafdebd0f35244ee01 | MATLAB | 4,548 | 95 | function [ieegStructAll, phonemeTrialAll, channelNameAll] = poolChannelWithMinTrial(ieegHGStruct, trialInfoStruct)
% Combines channels with minimum trials for a specific token across subjects.
%
% Arguments:
% - ieegHGStruct: Array of structures containing ephys data for each subject.
% - trialInfoS... |
440b33d3ae3c267c668b6406bc260993c806b1abbc47c1dd575b0ae61458bfd5 | MATLAB | 4,550 | 122 | function neuron_spectra(mainPath, animal, session, ch, isstim, neuron_n)
%NEURON_SPECTRA Spectral analysis of spike trian data
% NEURON_SPECTRA(MAINPATH, ANIMAL, SESSION, CH, ISSTIM, NEURON_N)
% transforms spike train data to a pseudo-continous signal, and computes
% the Furier spectrum, the burst triggered a... |
461f19ddd799759d94d80f0e0c32f0299629c64398f1ea08276da2ba9df2f99e | MATLAB | 4,556 | 117 | %% Thomas_Yang_et al, 2023 @Nuo Li lab
%% Fig. 5d norm. FR, SC photoactivation, contra ALM record
clear all
close all
addpath('../func/')
load Figure_5_d_data
sig_selective(isnan(sig_selective))=0;
FR_pref = spk_count_yes_screen-spk_count_no_screen;
i_selective = (sig_selective(:,2)) & cellType_... |
1a52309b8fc49a7645fcc079ccd6d97d29a804364766fe78634a42a46c028a91 | MATLAB | 4,557 | 119 | function [ filteredData ] = knnFilter_window( classificationResult, guideImage, lambda, knn )
% KNNFILTER_WINDOW Applies a k-Nearest Neighbors (kNN) filter to enhance an image.
% filteredData = KNNFILTER_WINDOW(classificationResult, guideImage, lambda, knn)
%
% INPUTS:
% classificationResult - The probab... |
5283caf8e04b56f489b615524a85318c7b99321cf6a874b6d3bea8d426226bb6 | MATLAB | 4,557 | 154 | % h = myscatter(x,y,scale,color,[ncolors],[cm],['filled'],marker,...)
%
% MYSCATTER Scatter/bubble plot.
% MYSCATTER(X,Y,S,C) displays colored circles at the locations specified
% by the vectors X and Y (which must be the same size). This function
% is similar to the SCATTER function. Instead of plotting ... |
f0b0aa823a296e4e8f7a8464025614d8468600665b0f7cc4cee43fa29b4d08a6 | MATLAB | 4,558 | 171 | function [xs, info] = pl_pcg_qs_ls(x, A, data, dercurv, R, varargin)
%|function [xs, info] = pl_pcg_qs_ls(x, A, data, dercurv, R, varargin)
%|
%| Unconstrained generic penalized-likelihood minimization,
%| for arbitrary negative log-likelihood with convex non-quadratic penalty,
%| via preconditioned conjugate gradien... |
4a4d5e83491886e108236b698bd97b2f77cd85bb93cf5fdf2bc53a1771537a72 | MATLAB | 4,559 | 116 | clc; clear;
fprintf('\nProgram started\n');
% Much of program is copied from seizures.m
%filename = '6well speakers-Trial 20';
filename = 'Raw data-Acquisition 2013 SAHA habituation retracking carolina-Trial 67';
%% Read data
velArray = [];
for(iTad=1:6)
% a = xlsread(['C:\Users\AizenmanLab\Docum... |
7d70dcf8a6bfcc00ba19b0661c27a9dd255515dad1732dcf8f17a737ecabd970 | MATLAB | 4,560 | 96 | function [] = BackGroundSubtraction()
addpath([pwd '\matlab']);
addpath([pwd '\util']);
clear
s=dir('Videos/*video.ufmf');
filelist={s.name};
for i = 1:length(filelist)
filename = filelist{i};
[readframe,frames,~,headerinfo] = get_readframe_fcn(filename);
% create background
newvidname... |
12c3344f40c88c82b9e7e7dfe7bfd694317656c911dc20df963e5334b8e7eccc | MATLAB | 4,561 | 183 | % This shows all synapses!
% For example: RGCX = RGCnt, SCY = SCap, nBins = 100
%
% SCrange allows us to limit the part of SC included in analysis
%
% axisRange = [1/3 2/3], uses middle third of retina
function plotAxisMap(obj, axisDir, nBins, axisRange, colorbarFlag, plotFlag)
disp('plotAxisMap deprecated, please ... |
e83854f6a22d73a38056d786bf260e3189bf732dce02137ac774d2c7f8bb02d5 | MATLAB | 4,561 | 85 | % CELL CLASSIFICATION PER TRACK
% MH, 05.2020
% Classify cells in:
% Unique cells in each track
% Common cells between exposures
% Cells that remap between exposures
% Cell that global and rate remap between tracks (both during first and second exposure)
function cell_class = cell_classification(comput... |
557261f0262810327f27ab6c0cc807c558c0601c4eba474c3583d200008d16bf | MATLAB | 4,565 | 172 | function preview_data(pre,post,index)
% pre=0.5;
% post=1.5;
data_pre_trigger = pre;%sec
data_post_trigger = post;%sec
bin_size = 0.01;% sec 0.01
% bin_size = 1;% for 1min stim
path = uigetdir;
cd(path);
disp(path);
filenames = dir();
num_prefile = filenames(3).name(1:3);
if exist('data_trigger.mat','file')==0
... |
6c61aaca70391a5936a12a637394013f2ccd6a1b5e0c677cb686afbb49ed8e35 | MATLAB | 4,567 | 163 | function fig3B(analDir,rrmDir,tsDir,figDir)
% function Fig3b(analDir,rrmDir,tsDir,figDir)
%
% plot Fig3b: Movement Index and Attention Index for each unit
% save figure as *fig and pdf
%
% input:
% analDir path to directory of results for model-free analysis
% rrmDir path to directory of preprocessed data ... |
04c001ceebf9ec3a9534fb90321e01d9b5c77845e062b49996cdbc0bd39e4341 | MATLAB | 4,568 | 142 | function [outMean,outVariance,outFreq] = IPEMCalcMeanAndVariance (varargin)
% Usage:
% [outMean,outVariance,outFreq] =
% IPEMCalcMeanAndVariance(inSignal,inSampleFreq,
% inFrameWidth,inFrameInterval,
% inPlotFlag,inPlotTitle)
%
% Description:
% Ca... |
f485f761cf1aeaecc26058f2ba393569d8b68ed1c251564fee1ad315ef533910 | MATLAB | 4,568 | 183 | % This experiment does a set of injections, to determine the
% mapping from retina to SC, NT to AP, or DV to ML.
%
% Retina -> SC
function fig = virtualInjectionMappingExperiment(obj,axisDir)
nInj = 10;
x = linspace(0,1,nInj) + 0.1*rand(1,nInj);
x = min(max(x,0),1);
switch(axisDir)
case {'AP','ap','... |
0b3e7949e6bd936263af75ad7726eb307589e36afca6fa0eed763a5177d51881 | MATLAB | 4,569 | 87 | function gap_linking_str = fun_graph_connect_gap_ep2skl(vessel_image, vessel_mask, vessel_skl, ep_1_sub, ep_all_sub)
% fun_graph_connect_gap_ep2skl search the shortest path betwwen the
% endpoint and the skeleton within the masked found by threshold
% relaxation.
% Input:
% vessel_image: 3D numercal array, imag... |
5489e61a120a27471495444abe21e37e63738b080500fb4774ada85137cbfc90 | MATLAB | 4,570 | 165 | function spm_DEM_qP(qP,pP)
% reports on conditional estimates of parameters
% FORMAT spm_DEM_qP(qP,pP)
%
% qP.P - conditional expectations
% qP.V - conditional variance
%
% pP - optional priors
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre... |
0b0cfb2e96f04b6d5fca594ec57c5cf299aa4e904904efb86014368796a02de7 | MATLAB | 4,572 | 87 | function save_individual_subj_region_data(cue_responsive,ref,baseline, exp_type, lock, subj,removeERP, ...
norm_freq_acrs_chan_cond_1, norm_freq_acrs_chan_cond_2,norm_freq_acrs_chan_cond_3,norm_freq_acrs_chan_cond_4)
% [will save an spec per chan for each sub when run thru A003_condition_wise_spectral_analysis.m]... |
918471973bae360136a5332d544c746df601708ed041364c24adcd10bc894f69 | MATLAB | 4,572 | 169 | function [xs, precon] = eml_osem(x, Gb, yi, ci, ri, varargin)
%|function xs = eml_osem(x, Gb, yi, ci, ri, [options])
%| E-ML-OSEM algorithm for image reconstruction from Poisson emission data
%| (ordered subsets expectation maximization)
%| model: Y_i ~ Poisson(c_i [G x]_i + r_i)
%|
%| in
%| x [np 1] initial estimat... |
60fe1a1a9cd1ea0d6c25575cec138bad08aedf17f3cfa7f488495f4e443b8535 | MATLAB | 4,577 | 127 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% PLEASE REFER TO README.txt FOR MORE INFORMATION
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [] = demo_mp(segment_id)
% segment_id (starting from 0) can be given as a parameter;
% it does not matter for the example file as there is only one se... |
78524c5c34f516d5659338c7e7db37395c494a3491fa5642af77c22c9d7a2152 | MATLAB | 4,583 | 101 | %% Update Assigned Tracks
% The |updateAssignedTracks| function updates each assigned track with the
% corresponding detection. It calls the |correct| method of
% |vision.KalmanFilter| to correct the location estimate. Next, it stores
% the new bounding box, and increases the age of the track and the total
% visible co... |
53ecaa70f9d3c68119b50e012c816275c9b2e986b77ad7187012b6f973b83974 | MATLAB | 4,590 | 168 | function hdr = load_nifti(niftifile,hdronly)
% hdr = load_nifti(niftifile,hdronly)
%
% Loads nifti header and volume. The volume is stored
% in hdr.vol. Columns and rows are not swapped.
%
% Handles compressed nifti (nii.gz) by issuing a unix command to
% uncompress the file to a temporary file, which is then deleted.
... |
a7b0425e21f7572c4888fcefc2dff5e04b639bedc4762811dd25c189b2de1de5 | MATLAB | 4,590 | 125 | %% Run scripts for SfN 2019 abstract
if exist('/home/knight/hoycw/','dir');root_dir='/home/knight/hoycw/';ft_dir=[root_dir 'Apps/fieldtrip/'];
else root_dir='/Volumes/hoycw_clust/'; ft_dir='/Users/colinhoy/Code/Apps/fieldtrip/';end
%%
addpath(genpath([root_dir 'PRJ_Error/scripts/']));
addpath(genpath([root_dir 'PRJ_Er... |
c1274f861f60456416e1599f3ac962190f02468861a4c96e8843676e5d6bb495 | MATLAB | 4,591 | 213 | function yn = jf_equal(a, b, varargin)
%|function yn = jf_equal(a, b, varargin)
%|
%| verify that the two arguments are equal.
%| if not, print informative error message.
%| See also: equivs
%| note: to compare objects, use jf_equal(struct(a), struct(b))
%|
%| option
%| 'what' 'warn' 'fail' 'silent'
%| default: ... |
23b85b56b5e64264659de2e55c24d1351ac00d91cd5bb63fc14f66bd853d0e52 | MATLAB | 4,593 | 120 | function [negloglikelihood] = Estimate_beta_k_m3_sigma_nu(beta, k, m3, sigma, nu, Input, config)
% Zilong Ji, UCL, 2022, zilong.ji@ucl.ac.uk
% Find the likelihood with parameters specified in the model function name
% Args (in common between all estimates functions):
% beta: decay factor for the mental distance (calcul... |
962cf3500a2a3a3a18bb223e3341cb3fc95494ccf1996a50a84cb31028d7650a | MATLAB | 4,594 | 139 | % Estimate the Fisher information of stimulus in the neuronal responses of a single
% recurrent network
% Some simplifications is used in this Hawkess process:
% 1). No temporal kernel
% Wen-Hao Zhang
% July 22, 2021
% University of Chicago
if ~exist('Path_RootDir', 'var')
setWorkPath;
end
addpath(fullfile(Path_... |
098a25390c41054c6e5efd23f5e8b0a9f5c7c7a5f662bc74529e3637f4f42ced | MATLAB | 4,597 | 141 | function img = fbp_fan_flat(sino, G, window, varargin)
%function img = fbp_fan_flat(sino, G, window, varargin)
%|
%| FBP reconstruction of fan-beam tomography data for a flat detector.
%| (Equidistant case.) Extracts parameters from Gtomo2_dsc object.
%| See fbp_fan_flat_example.m for example.
%|
%| in:
%| sino [nb,n... |
a0ac98b5e48cb6e70766a502ac4604d5c744df07326245e759523ace45bec910 | MATLAB | 4,598 | 114 | function [empiric_mean_angular_error, null_mean_angular_error, pvalue, empiric_angular_error, null_angular_error] = calculate_angular_error_across_trials(predicted_class, actual_class, varargin)
% calculate_angular_error_across_trials Generates mean angular error
% across trials and also generates null distribution f... |
8082a1e5954089d2809216d70ef65453fdef9d34d5718b776c52435992e60c02 | MATLAB | 4,601 | 108 | function cc = fun_cc_in_sparse_matrix(idx_list, mask_size) %#codegen
% This function collect the connected components in a mask
% The mask is specified by two inputs:
% idx_list: N-by-1 double precision array. List of mask voxel indices
% mask_size: size of the mask
% Output:
% cc: cell array, each contains the ... |
00ab2dcc25c63ea0986bd2bd442776fca9faf8b53e1bfc292ce9f43229d0a909 | MATLAB | 4,603 | 111 | % Defines the class ROITimeFrequencyGrid for visualization of time frequency stats on ROI space.
%
% Author: Alejandro Ojeda, NEATLABS/UCSD, Sep-2019
classdef ROITimeFrequencyGrid < vis.headModelViewer
properties
hCortex
end
methods
function obj = ROITimeFrequencyGrid(hm, data, timeStamps,... |
410a9288307f46f0e31ddc8112238c16a5fa9bf7aa9cd0b3649e2e30fd25067c | MATLAB | 4,606 | 95 | % Calculates rate of replay (events/min) for each track during sleep periods. To do so divides periods in 30min chunks. Plots rates for each
% 30min chunk and compares it between tracks.
% INPUT:
% data_type: 'main' for using data from main HIPP replay project; 'speed' for using speed protocol data; and 'ctrl' for ... |
3978f0d31671921b7cfa3cb7914a6253be45a8c3f045fde7f04c501e50795db7 | MATLAB | 4,607 | 102 | function [outANI,outANIFreq,outANIFilterFreqs] = IPEMCalcANIFromFile (varargin)
% Usage:
% [outANI,outANIFreq,outANIFilterFreqs] = ...
% IPEMCalcANIFromFile (inFileName,inFilePath,inAuditoryModelPath,...
% inPlotFlag,inDownsamplingFactor,...
% inNumOfChannels... |
274efae9f4d7f60a9f9171853188f672117c1f370910a5681dcc41d0c761f81a | MATLAB | 4,610 | 197 | function ob = Gwave2(varargin)
%|function ob = Gwave2([args])
%|
%| Construct object that performs wavelet analysis of a 2D image,
%| for regularization based on sparsity such as in compressed sensing.
%|
%| option
%| 'mask' logical [nx ny] image-domain mask, often: true(nx,ny)
%| 'wname' wavelet name (default: 'haa... |
bb866a6651800197476ec237852d767494035c4545ba96b976bb666f14e0588c | MATLAB | 4,612 | 106 | function [ratemap, ratemap_trim] = smooth_trim_ratemap(firingrateAll, trim_direct, countTime, edgeFilter, edgeFilterThresh)
% this function aims to trim nans outside the actuall ratemap and apply
% smoothing to the raw ratemap firingrateAll. In addition, this function
% also further trim the unequal size ratemap across... |
e341c60de64d6d7e153a98771cfccfab839e50db60b12f88340b144da10d6a9d | MATLAB | 4,612 | 202 | % Gtomo2_moj_test2
% Test the Mojette case of the Gtomo2_table object
% for fan-beam forward projection
% Copyright 2005-12-14, Jeff Fessler, University of Michigan
redo = 0;
im pl 2 3
% analytical sino
if redo || ~isvar('ya'), printm 'ya'
down = 2;
ig = image_geom('nx', 512, 'ny', 504, 'fov', 500, 'down', down);
s... |
19598c806e6957ac55356508e1aa79db780a19f318ecb13e46ca1e666684168d | MATLAB | 4,613 | 156 | function x = splsqr(A,b,lambda,Vsp,maxit,tol,reorth)
%SPLSQR Subspace preconditioned LSQR for discrete ill-posed problems.
%
% x = splsqr(A,b,lambda,Vsp,maxit,tol,reorth)
%
% Subspace preconditioned LSQR (SP-LSQR) for solving the Tikhonov problem
% min { || A x - b ||^2 + lambda^2 || x ||^2 }
% with a precond... |
0b2e9dc9b48210de654578acb86dc69490d5bb1dfd40cfba83f7289085785b8b | MATLAB | 4,614 | 120 | %% Plot virtual channel source results
%
% Vinding, M. C., & Oostenveld, R. (2022). Sharing individualised template MRI data for MEG source reconstruction: A solution for open data while keeping subject confidentiality. NeuroImage, 119165. https://doi.org/10.1016/j.neuroimage.2022.119165
%
% Plot results of LCMV beamf... |
7e6cad87fba890eda563685a12ef1d36559f680cfb61a3a2270cee2530667ca2 | MATLAB | 4,614 | 101 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% ################################################################# %% DESCRIPTION
% Script to analyse data for:
% Grieves et al. (2020)
% Disorientation in HD cells
%
% This script
% NOTE: This script is dependent on disoritest to load and prep... |
8951a0e25dc774822133a5e87fc4af957264d9c48e81af70bc63e78d75a01d11 | MATLAB | 4,614 | 120 | %% Thomas_Yang_et al, 2023 @Nuo Li lab
%% Fig. 7d direct photoinhibition of SC GABAergic neurons
% flex-ArchT in left SC of gad2- or vgat-cre mice, left SC fiber implantation
clear all
close all
load Figure_7_d_data
perf_Raw_all = [];
n_mice = 0;
n_plot = 0;
for i_mice = unique(Session_type_allSessio... |
1958e865a66d830ad518dd5aed877c81f7693a5b52fde982c9cf84499f665fad | MATLAB | 4,616 | 139 | %% MNE source reconstruction
%
% Vinding, M. C., & Oostenveld, R. (2022). Sharing individualised template MRI data for MEG source reconstruction: A solution for open data while keeping subject confidentiality. NeuroImage, 119165. https://doi.org/10.1016/j.neuroimage.2022.119165
%
% Do MNE source reconstruction on evoke... |
0bcae908e30d353219ddd23cfac1f88a2638a1ae5fca3cd08e56f0ebd87c2b24 | MATLAB | 4,620 | 129 | function [qf, qfTree, fig]=run_QfTree(trainingSet, trainingIds, ttl, varargin)
% Class for Hi-D matching with merging of data subsets using QF match or
% F-measure or both.
% AUTHORSHIP
% Primary Developer: Stephen Meehan <swmeehan@stanford.edu>
% Math Lead & Secondary Developer: Connor Meehan <connor.gw.m... |
040c1c6eab9053adbe95f459555f3bdd7b0858eb11e73c2bf2ee20c71176f496 | MATLAB | 4,626 | 75 | function [] = fun_saveGUIstate(handles)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
[filename, filepath] = uiputfile({'*.mat'},'Save the current state of the GUI.','state_name');
fullname = [filepath filename];
if filename~=0
state.a = 1;
... |
25693cbf0768e8f8594156ef2feab9ea9784a505af6a28fda2b6c03f425f76e6 | MATLAB | 4,626 | 163 | %| ir_mri_dce_sim1
%|
%| Generate DCE k-space data for parallel MRI
%|
%| 2014-08-25 Jeff Fessler and Mai Le, University of Michigan
if ~isvar('Ncoil') % parameters
Ncoil = 8;
Nframe = 12; % increase this for better time resolution;
% keep small for quick debugs
end
if ~isvar('dyn_obj') % dynamic object with 'fi... |
e417a48980d25fed451cce7b8bed5e53b5b52232ca435db2ec44121e491b6376 | MATLAB | 4,626 | 125 | function [negloglikelihood] = Estimate_g3_m3_sigma_nu(g3, m3, sigma, nu, Input, config)
% Zilong Ji, UCL, 2022, zilong.ji@ucl.ac.uk
% Find the likelihood with parameters specified in the model function name
% Args (in common between all estimates functions):
% beta: decay factor for the mental distance (calculation err... |
700a7fcc3964af3fd9bece099ca0c0e4610fa81d41b6b4f40e9f7f155982e411 | MATLAB | 4,627 | 125 | function [MI_vec, MI_th, all_fr, spatial_cells] = ...
getMIAllCells(matPath, ds_factor, smoothSigma, fr_bins, spatial_binsize, trackLength)
% Calculate mutual information for all cells in file specified by matPath
%
% INPUTS
% matPath: path to .mat file after running sync_vr_to_np.m. Specify as
% string. e... |
d7f6ce836174adc45c415df601beecb4da5f1e5d6acd9e3dd0ebe66929440f18 | MATLAB | 4,627 | 109 | function [outNoteNr,outOctaveNr,outExactFrequency,outNoteString] = IPEMFindNoteFromFrequency (varargin)
% Usage:
% [outNoteNr,outOctaveNr,outExactFrequency,outNoteString] =
% IPEMFindNoteFromFrequency(inFrequency,inRefNoteNr,inRefOctaveNr,
% inRefFreq,inNotesPerOctave,inOctaveR... |
4f20f26d478fc6a79da5d34e87495e289732c235d6748a6f5d44d4f2c936a5cf | MATLAB | 4,632 | 115 | clc; clear;
%addpath('/data/hu_esraal/Documents/FastICA_25')
addpath('/data/hu_esraal/Documents/eeglab2019_0/')
addpath('/data/hu_esraal/Documents/TMSEEG-4.0')
eeglab
%
EEGpath= '/data/p_02186/TMS_ECG2/analyses/EEGtms/';
eegfolder = [EEGpath 'merge//old_analyses_tmseeg']; cd(eegfolder);
subj_names = {'VP01', 'VP02', '... |
4c47728663a3c3ee05c05b3af2de97215ca1bf7b28537dd63b4d04e7b00a1429 | MATLAB | 4,637 | 130 | function [outAmpl,outPhase,outFreqs] = IPEMCalcFFT (varargin)
% Usage:
% [outAmpl,outPhase,outFreqs] = IPEMCalcFFT (inSignal, inSampleFreq, ...
% inFFTSize, inPlotFlag, ...
% inUseLogScale, inShowPhase)
%
% Description:
%... |
95ee7d6e9b9be1aa1f6b17cf600b50207dd9f33cd3ef51006da22a171b0d6ff0 | MATLAB | 4,638 | 142 | function [dch_idx, time_idx, dchTimeSec,dchStartDelaySec,Fs, trialClust,trialBasedClustIdentifiers]...
= identifyUmapDecoherenceTimeBand(clusterIdentifiers, cells, ds_factor)
% Threshold Variables
% return cluster of dchTime is longer than 1 min and
% if it starts within 10 min of the ketamine injection
dchTimeThr... |
5e44fd06cc2fde99d15c9bbf02454ebfa1fcc9f7640204a310ebc5c8190c7d89 | MATLAB | 4,639 | 121 | function [negloglikelihood] = Estimate_beta_k_g2_m3_sigma_nu(beta, k, g2, m3, sigma, nu, Input, config)
% Zilong Ji, UCL, 2022, zilong.ji@ucl.ac.uk
% Find the likelihood with parameters specified in the model function name
% Args (in common between all estimates functions):
% beta: decay factor for the mental distance ... |
7e9728dc50b2b35aa79cc62c7b989e634d4b53c6531bf372736917c6c584ee67 | MATLAB | 4,640 | 121 | function [negloglikelihood] = Estimate_beta_k_g3_sigma_nu(beta, k, g3, sigma, nu, Input, config)
% Zilong Ji, UCL, 2022, zilong.ji@ucl.ac.uk
% Find the likelihood with parameters specified in the model function name
% Args (in common between all estimates functions):
% beta: decay factor for the mental distance (calcul... |
877246645ea5c2d0e995beee1f41cccd7950fcd73d065b54c4248af8590d6d17 | MATLAB | 4,640 | 112 | function [] = saveCode(fName, cde)
% Write code read with getCode back into an *.m file.
%
% The counterpart of getCode: it turns the byte vector stored next to a data
% set back into a runnable script, so the exact version of the code that
% produced a result can be recovered from the result itself.
%
% Usage: saveCod... |
5601ca6f839d49b0b08fd7ead060223af01361d95a7ae7d1dc67c7ba9897ea23 | MATLAB | 4,641 | 139 | function [block] = spm_vb_set_priors(block,priors,vxyz)
% Set up precision parameters and optimisation options to correspond to priors
% FORMAT [block] = spm_vb_set_priors(block,priors,vxyz)
%
% block - VB-GLM-AR data structure (see spm_vb_glmar)
% priors - For regression coefficients:
%
% .W= 'Spatial - U... |
e66e2dabbe2570e1e10fc43135354214a7b9ac39210b5031079854fc951aad1f | MATLAB | 4,643 | 125 | function [negloglikelihood] = Estimate_beta_k_g2_g3_sigma_nu(beta, k, g2, g3, sigma, nu, Input, config)
% Zilong Ji, UCL, 2022, zilong.ji@ucl.ac.uk
% Find the likelihood with parameters specified in the model function name
% Args (in common between all estimates functions):
% beta: decay factor for the mental distance ... |
3dc5c51ca5db1c62ebd9526e02b41ef9ef8d2e20e05678644dd13d5d67f2356b | MATLAB | 4,644 | 128 | function fig = plotQuantificationPanel(obj, report,fontsize)
if(obj.plotFigures == 0)
disp('plotParameters: plotFigures = 0, hiding figures!')
visFlag = 'off';
else
visFlag = 'on';
end
fig = figure('visible',visFlag);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
4a6257fac399c2d4e52ac79bbfdea1f8e5486928e1651b350cfe25784a105b92 | MATLAB | 4,644 | 125 | function [negloglikelihood] = Estimate_g2_g3_m3_sigma_nu(g2, g3, m3, sigma, nu, Input, config)
% Zilong Ji, UCL, 2022, zilong.ji@ucl.ac.uk
% Find the likelihood with parameters specified in the model function name
% Args (in common between all estimates functions):
% beta: decay factor for the mental distance (calculat... |
a7ead15ff37eadefeff6677662a6665e97c44ead879413cdf9eb456794eb2475 | MATLAB | 4,644 | 103 | % REPLAY DECODING
% Extracts spikes for each replay event and decodes it. Saves in a
% structure called decoded_replay_events. Inside each field (each track) the replay events are saved.
% Loads: extracted_replay_events, extracted_clusters and extracted_place_fields_BAYESIAN
function decoded_replay_events = final_lap_... |
0d294627689caf9a1635bfab400d359be6b06a93d04b9030510642c381492db1 | MATLAB | 4,647 | 133 | %% This script shows you how to compute "frequency sliding,"
% time-varying changes in the peak frequency of an oscillation.
% This script corresponds to a paper:
% This script assumes that your data are in eeglab format. However, the
% eeglab toolbox is not necessary and it should be fairly straight forward
% to ad... |
1e51dd568e0101bdf5d1d1bd3432cf8ce04d7d9a39768ce2c04f9cc624f56a11 | MATLAB | 4,647 | 119 | function SBJ00a_cleaning_prep(SBJ,plot_psd)
%% SBJ00a_cleaning_prep
% Load raw data, extract channel labels, downsample, bandstop line noise,
% and save the result for visual cleaning inspection.
% Inputs:
% SBJ [str]- name of the subject
% plot_psd [str]- name of function to plot+save PSDs of raw channels
% ... |
cb4b8902527497f5376b30707b22d2c6e1033efedea34f8a4d48430a3b7afde5 | MATLAB | 4,649 | 152 | function[choice, T, Delta, x] = simDDM_one_trial(task_type, stim_type, hist_effect, bias, bound, bound_crate, lambda, sigma_sens, mu, mus, dt)
%{
This function simulates the DDM trajectory for 1 trial following Euler-Maruyama method given:
task type: free_choice or interrogation
stim_type: continuous or discrete
hist... |
7e96074cfb135a8c9ee72ed2df888ccb5307bc8c4ff8b9fea1d40ca52e2ea81b | MATLAB | 4,650 | 150 | function recon_im = SENSE_recon(smap, reduced_fft, np, varargin)
% function recon_im = SENSE_recon(smap, reduced_fft, np, varargin)
% inputs:
% smap [N M nc] complex sensitivity maps
% reduced_fft [N/np M nc] or [N M/np nc] undersampled fft
% np degree of undersampling
% optiona... |
8993c390c4ccb81b8bf4b7fd525b195eb60832d998875983b0f1c56ec42b86b4 | MATLAB | 4,651 | 149 | % The script is used to perform frequency analysis at each frequency (4-100Hz)
% and frequency-resolved decoding analysis (sliding-window, 5Hz) on EEG data.
% add toolbox
addpath('fieldtrip-20191213/');
addpath(genpath('CoSMoMVPA-v.1.1.0/'));
addpath(genpath('libsvm-3.25/'));
ft_defaults;
%% frequency analysis
% set ... |
80afa6c2912cd3aef353ae73861e405918bcaddfcfabd39b955f4f27cf8b8571 | MATLAB | 4,652 | 101 | function control_plots_phase_precession_relative_location(track)
% Sanity check plots at different time points of theta phase precession extraction code
% Uses output from main code 'phase_precession_relative_location', which is a structure called TPP
load('extracted_phase_precession.mat')
load('extracted_position.ma... |
9c47131a084fc4b8df09ce9dc247381dec85fa82f232e4079c012f83fd347104 | MATLAB | 4,656 | 118 | % HARRIS - Harris corner detector
%
% Usage: cim = harris(im, sigma)
% [cim, r, c] = harris(im, sigma, thresh, radius, disp)
% [cim, r, c, rsubp, csubp] = harris(im, sigma, thresh, radius, disp)
%
% Arguments:
% im - image to be processed.
% sigma - standard... |
31d2d07e014515a07bd923112ef1c347bd82b0ed2b1ea2e371dc0373fcb53cde | MATLAB | 4,657 | 154 | function [potk, wpot, dpot] = penalty_funcs(type, beta, delta)
%function [potk, wpot, dpot] = penalty_funcs(type, beta, delta)
%
% Define roughness penalty functions via inline functions.
%
% If beta is numeric, then the penalty will have the form
% R(x) = sum_k beta * potential([Cx]_k, delta)
% If beta is empty, then... |
38b71aea55fdde1d5355e6bc23f174edfde721a32b81336c910ff9ccc161ed87 | MATLAB | 4,660 | 136 |
% The script plots the averaged max firing rate of each run vs the
% velocity, in Fixed-Time and Fixed-Distance experiments
close all
clear global
Dir='G:\Dropbox (Personal)\Brain\Project';
Animals = {'BK49','BK41','BK35','BK45','BK33','BK26'};
NumOfAnimals = 6; % Use 1 only for a short validity test, other... |
2b8bb157c4309ea44c13a6f4bfd9aa2ee67a8170d07c961e1b55ade4c40af2fb | MATLAB | 4,663 | 200 | % xct_bh_example.m
%
% illustrate X-ray CT iterative reconstruction of an object
% consisting of water and bones, for a polyenergetic spectrum.
%
% Copyright 2008-12-05, Jeff Fessler, University of Michigan
warn 'work in progress'
if ~isvar('ssino'), printm 'ssino'
ig = image_geom('nx', 128, 'ny', 120, 'dx', 0.4);
... |
adae7bdf9c53314e3a7179e2fb20c426be7ba6f5455410e010887eded98f9512 | MATLAB | 4,668 | 149 | function simpleChoice
% This is a simple example program where you can distinguish between stimuli presenting humans and
% stimuli presenting other objects.
% Tobias Otto
% 1.0
% 16.11.2021
% 16.01.2021, Tobias: first draft
%% Init toolbox and experiment
initOTBR;
startExperiment; % Not necessary for human experi... |
b176db8ce19f4c220655d8252fc07de7ec282cfdf6b96e699907d9e132815e35 | MATLAB | 4,668 | 126 | function [mg,nu,sig,info] = spm_rice_mixture(h,x,K)
% Fit a mixture of Ricians to a histogram
% FORMAT [mg,nu,sig] = spm_rice_mixture(h,x,K)
% h - histogram counts
% x - bin positions (plot(x,h) to see the histogram)
% K - number of Ricians
% mg - integral under each Rician
% nu - "mean" parameter of each ... |
6a08068ec4efde6e34fbbc3a10e00c97b47eca0848d9744d1a29b386cded56ba | MATLAB | 4,672 | 135 | function [AA,BB,RR,iBest,accMM]=nt_cca_crossvalidate_mm(xx,yy,shifts,windowSize,ncomp,A0,B0)
%[AA,BB,RR,iBest]=nt_cca_crossvalidate(xx,yy,shifts,ncomp,A0,B0) - CCA with cross-validation
%
% AA, BB: cell arrays of transform matrices
% RR: r scores (3D) for all components, shifts and trials
% iBest: index of best shif... |
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