sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
9c399dd69acd2d38df96724c1bcbe67ebb858501cee31899968614bedad7dfd6 | MATLAB | 2,734 | 88 | function GMMTrack2DTo3D(fmoviefile,smoviefile,kinelistfile,outdir,redo)
%% Constructs smoothed 3D construction for videos listed in file
addpath /groups/branson/home/bransonk/behavioranalysis/code/Jdetect/Jdetect/filehandling;
addpath /groups/branson/home/bransonk/behavioranalysis/code/Jdetect/Jdetect/misc;
addpath ... |
c10118b3528524aa18282ca11ac355667cc712cff6d85e866b0d38c44ff5661e | MATLAB | 2,734 | 102 | function [model, loglikHist] = binaryFAfit(Y, K, varargin)
%% Fit factor analysis for binary data (using EM)
%
%
% Inputs
%
% Y - Y(n,t) in {0,1} or {1,2}
% K - num latent dims
%
% If you don't request loglikHist, we don't compute
% loglik, which is quite slow (35% of the time!)
% This file is from pmtk3.google... |
3d8c6d9c2fd843de33359066548dadc4625c4176cd8956022555cef2037c5729 | MATLAB | 2,735 | 80 | %_______________________________________________________________________
%
% Allow the experimenter to advance or exit the presentation
%_______________________________________________________________________
%
% In testing or development mode the presentation can be advanced by
% pressing expInfo.keyReturn and exited ... |
4f1b3ff2535594464efb0eaba23605c8f23ac4744ebc9ad973d8d94e98fffb97 | MATLAB | 2,735 | 86 | % Author: Birgit Nierula (May, 2020)
% nierula@cbs.mpg.de
function [out] = prepro_defineInterpolWindow(subject, srmr_nr, bids_dir)
%% loop 1: downsample for ica and channel inspection (make plots for all subjects and conditions)
% set variables
subject_id = sprintf('sub-%03i', subject);
if srmr_nr == 1
raw_path ... |
0c237a9b59e27a8fc34203208b15bf781bea9120ae663f1d70aebc4042c80918 | MATLAB | 2,736 | 93 | function data = analyze_AB_abundance(params,roi,AB_chs)
%calculates correlation and volume overlap between different AB channels
folder = params.parentfolder;
%Extract parameters
xystep = params.xystep;
zstep = params.zstep;
nchannels = length(AB_chs);
for im1 = 1:nchannels %nested loops because we are looking at co... |
46d1b9e857a5e3f933c7f460e20039fe8b6724d39c341777495a1ef5836f97af | MATLAB | 2,736 | 105 | %
% Used to calculate the sum-squared error between each shuffle and the mean
% of the shuffles, vs. the spike-triggered unit and the mean of the
% shuffles. Signfificance is provided as the relative magnitude of the test
% statistic vs. the PVal
%
% Copyright (C) 2023 Trevor S. Smith
% Drexel University College of Me... |
69ad058e7ba743ba921fcd525d6cf77197240ef830bab58ddd67c817c71906fd | MATLAB | 2,738 | 52 | function isargstruct(varargin)
%ISARGSTRUCT tests if the given arg is a struct and returns an error otherwise
%
% Usage: isargstruct(arg1,arg2,...)
%
% Input options:
% args - list of args
%
% ISARGSTRUCT(args) tests if all given args are a struct and returns
% an error otherwise.
%
% see also: i... |
86cbf2639a170862608e034dac94194edbc24858d0e7c30738ee6122a7d2c05d | MATLAB | 2,738 | 79 | function HMM = fit_HMM_cv(datadir, kerneldir, hmmdir, HMM_name, leaveout_foldN, iterN, k)
% HMM = fit_HMM_cv(datadir, kerneldir, hmmdir, HMM_name, leaveout_foldN, iterN, k)
%
% fit a group-level HMM to the HCP resting state fMRI data.
% This uses a Gaussian observation model, either using the mean or pinning
% it to 0 ... |
17498f124e165df9061a76e5718f0bb1ddf141a2debe803a7c13726f116f51c7 | MATLAB | 2,739 | 71 | function order = bestFirstElimOrder(G, node_sizes, stage)
% Greedily search for an optimal elimination order.
%
% Find an order in which to eliminate nodes from the graph in such a way as
% to try and minimize the weight of the resulting triangulated graph. The
% weight of a graph is the sum of the weights of each of ... |
40931622e8696a8eecec1ac62d2fe278d5acdafe61ce31058d131d15fcceb9f9 | MATLAB | 2,739 | 81 | function [missing, pg] = pmlMissingCodeReport(bookSource, includeCodeSol, destFile)
% Display an html table of files referenced in PML but not in PMTK
% This file is from pmtk3.googlecode.com
%% Input
%
% bookSource - path to the PML latex source containing e.g. pml.tex
% (default = C:\kmurphy\... |
ca45ed9f23731e58c0c3c4e602a4c63ed1eb9dc81f45a15967b9378331167e3e | MATLAB | 2,739 | 105 | function islight = plotPercentileCircles(im,prcs,labels,prc_vals,hpar,txtOffset,ntotal,fp,fn,isma)
if nargin<5
hpar = figure;
end
if nargin<6
txtOffset = 5;
end
if nargin<7,
ntotal = [];
end
nviews = size(prcs,3);
if numel(hpar) == 1 && strcmpi(hpar.Type,'figure'),
hfig = hpar;
clf(hfig);
hax = createsub... |
de305f385d28f1f7b80344aa40e4f279656bb65c471874853ee2c0d65b0af78b | MATLAB | 2,739 | 109 | function wlPlot_plotDetectCurves(cfg, tuneseries, tunelabel, ...
dataseries, figtitle, filelabel)
% function wlPlot_plotDetectCurves(cfg, tuneseries, tunelabel, ...
% dataseries, figtitle, filelabel)
%
% This function plots one or more accuracy-vs-tuning-parameter curves.
%
% "cfg" contains figure configuration in... |
56b81d7deb3e304fab631f43f30ab2a90f1603d20b5ba9f5ac8dff11fde666e7 | MATLAB | 2,741 | 82 | function [hillCoeff ec50]=doseResponse(dose,response)
% DOSERESPONSE Computes the Hill Coefficient and EC50 of a
% dose/response relationship given two vectors describing the doses and
% responses. A semilog graph is plotted illustrating the relationship, upon
% which the man and standard error of the response to ... |
6b79b41ac578e726962b108495fa5feaeaa5e56f0cf1287620407fd47802c7ae | MATLAB | 2,741 | 108 | function [a,res,c_theo]=lm_start_comp_general(a_in,c,forwpar,type)
F=fcnchk(forwpar.method);
[n,ndum]=size(a_in);
ndip=n/5;
if type=='real';
nc=ndip*(ndip+1)/2;nc_R=nc;
elseif type=='imag'
nc=ndip*(ndip-1)/2;nc_I=nc;
elseif type=='comp'
nc=ndip^2;nc_R=ndip*(ndip+1)/2;nc_I=ndip*(ndip-1)/2;
else
error... |
67d959a95ac088d598111e67c2cfc2887d7feaec833489b86e2f3d5fcf68fafe | MATLAB | 2,742 | 78 | function [posterior, out] = demo_GLM()
% // VBA toolbox //////////////////////////////////////////////////////////
%
% [posterior, out] = demo_GLM()
% Demo of multiple regression (General Linear Model) inference
%
% The problem is to fit observations with a linear combination
% of regressors. Formally, this can be writ... |
f5d24c009fc0809c1b6dbed3ae425765fe9f382b3e4d6e2afd08daf52935568d | MATLAB | 2,742 | 73 | % Noam Saadon-Grosman
% August 2020
% This code creates laterality surface map from the output of "Laterality_computation"
%%% input: some files are in BrainVoyager format, for matrices extracted from
%%% other formats exclude the xff command. Fill in names and directories
% Template BrainVoyager map
% Somatosens... |
0b443c6df1f867c0589a3c7260c687bf3b6e2ae9957855ef9fe89dbe2a08e306 | MATLAB | 2,744 | 69 | %go_calib_optim
%
%Main calibration function. Computes the intrinsic andextrinsic parameters.
%Runs as a script.
%
%INPUT: x_1,x_2,x_3,...: Feature locations on the images
% X_1,X_2,X_3,...: Corresponding grid coordinates
%
%OUTPUT: fc: Camera focal length
% cc: Principal point coordinates
% alpha_c... |
143be36919c09d61605f19f74885191c58df02939ab2d9c35fddc583199cfaf5 | MATLAB | 2,744 | 79 | %{
Copyright (c) 2025 Axion BioSystems, Inc.
Contact: support@axion-biosystems.com
All Rights Reserved
%}
classdef BlockVectorSet < handle
%BLOCKVECTORSET is a grouping of data and metadata for a series of data contained within an AxisFile.
% this class is composed of 4 major parts:
%
% ... |
5fc1bf82e13d4a5fb3e99ca5834153e214978aa062aa7eb56ebe7ecb0f6eadf9 | MATLAB | 2,744 | 74 | function ValidFullPath=Check_Dir_and_File(InputFileDir,InputFileName,LengthLim,ForceFix)
if ~exist(InputFileDir)
mkdir(InputFileDir)
end
OS=computer;
if strcmp(OS,'MACI64')
dc='/';
if strcmp(InputFileDir(length(InputFileDir)),dc)
FullPath=[InputFileDir,InputFi... |
1854b8893d40413f0894d382b02421f1b700b4cbed0567a4c4943fd28b7f389d | MATLAB | 2,745 | 66 | function result = determineArgumentsForSpawningJob_(obj, tracker, gpuid, jobinfo, aptRootRemoteAsChar, train_or_track)
% Get arguments for a particular (spawning) job to be registered.
if isequal(train_or_track,'train'),
dmc = jobinfo;
containerName = DeepModelChainOnDisk.getCheckSingle(dmc.trainContaine... |
2311a9ab4d3ff3b829b1734cdbf4d57304a97cacf591e013e3a333989e291437 | MATLAB | 2,745 | 93 | function tbl = lblCompileSH(lblList)
% tbl = lblCompileSH(lblList)
% Compile labeled frame info from a list of lbl files
%
s = struct(...
'lblCat',cell(0,1),... % int enum for type of label file
'lblFile',cell(0,1),... % 3-level path
'iMov',[],... % movie index within lblFile
'movFile',[],... % [1xnview] movie... |
296ae557cfe53fb3b1b48a71a67041e6202e7f9bb73c036e2abbf45fe72a125a | MATLAB | 2,746 | 74 | function cpd = tabularCpdCreate(T, varargin)
%% Conditional probability density function p(y|x) for use in a DGM
% T(a,b,...z) is distribution of z given parent values a, b,...
%
% A dirichlet prior has the form prod_k theta_k^{alpha_k - 1}
% We define cpd.prior(k) = alpha_k - 1
% So setting cpd.prior(k) = 0 will give ... |
a22073a92aeb8cbf1e022338291238e8af28e4714b660a084d4fa1fa01ebfe00 | MATLAB | 2,746 | 99 | function [yy,map] = oneOfK(y, K)
% Convert class labels to a one of K encoding
% (see also dummyEncoding)
% The class labels are first converted to 1:K. The number of class labels
% is automatically infered. If K is explicitly specified, the class support
% is forced to be contiguous. The output map stores the unique ... |
1c0e98ec6c2aebf3eb0c8e2c977239362bde15e11dbed5bd7dce651740d00b1c | MATLAB | 2,747 | 45 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
44e3bd74b243403e7bd877c50d0bfde055ad7938f8620faf9e4ae80152b5c1dc | MATLAB | 2,747 | 75 | function C = multiTimes( A, B, type )
% Matrix multiply each submatrix of two 3D arrays without looping.
%
% type controls the matrix multiplication to perform (for each i):
% 1 - C(:,:,i) = A(:,:,i)*B(:,:)
% 1.1 - C(i,:,:) = A(:,:,i)*B(:,:)
% 1.2 - C(:,:,i) = A(:,:)*B(:,:,i)
% 2 - C(:,:,i) = A(:,:,i)*B(:,:... |
af84999ff39a482b8b6d578400407a94673146e66e0b609d92b81d379868b1f7 | MATLAB | 2,747 | 78 | %% Minfunc Kernelized Logreg Demo
% PMTKauthor Mark Schmidt
% PMTKmodified Kevin Murphy
% PMTKurl http://people.cs.ubc.ca/~schmidtm/Software/minFunc/minFunc.html#7
% It is modified by replacing penalizedKernelL2_matrix,
% which uses sum_c w(:,c)' K w(:,c) as the regularizer,
% with the simpler penalizedL2, which uses w... |
31f564d4ec77b6705549d8e0959c22e8fbc6d744f2a697378668552baeed908d | MATLAB | 2,748 | 60 | function chiSquare = exgauss_chi_square(y,X)
% EXGAUSS_CHI_SQUARE Computes the chi-square statistic
%
% DESCRIPTION
% Pearson's chi-squared test provides a measure of goodness-of-fit, based
% on the observed and predicted frequencies. The observed response times
% are grouped into bins. The edges of these bins are bas... |
862abe7a87e45e527fc99f9c9350c761e9ecc226268afc77a145c07efe1fb9d2 | MATLAB | 2,748 | 100 | %% Detect small calcium transients
Tr = traces.all;
disp('Detecting SCEs...')
[NCell,Nz] = size(Tr);
% Savitzky-Golay filter
Tr = sgolayfilt(Tr',3,5)';
% figure
% for i = 1:NCell
% plot(time,traces(i,:)+i-1)
% hold on
% end
% Detect Calcium Transients using a sliding window
TrRest = Tr(:,mvm.restEpochsInd... |
ed7734e26bcb4f6409d170fd06d1b1331302a3b60a010a9bf27e37a9ad64e5f0 | MATLAB | 2,748 | 61 | function [lpfDV] = getLPFdvars(timeSeries,brainMask,TR)
%If it is a cifti, then it will give a time x greyordinates matrix.
%Otherwise, this will do nothing to a 4D (3 space x 1 time) matrix.
%Unless, of course, you are feeding in a matrix with a singleton
%spatial dimension.
if(ndims(timeSeries) ~=... |
5ee3436c2c4c20cde27928c8720ec1c676880997f54aacd0a6f22db587fd996c | MATLAB | 2,749 | 78 | function [e p] = image2mesh_cgal(fn,param,outfn)
% Tries to read stack of 2D images (with file name 'fn') and create a
% tetrahedral mesh using CGAL library. It returns the mesh in 'e' and 'p',
% tetrahedral elements and node coordinates.
%
% param.pad : add padding to 4 sides of each 2D image
% param.medfilter : appl... |
b26b54e1ce215dcc9619afde9270e382efb410198b4c3b92c9e7887a90124d76 | MATLAB | 2,749 | 101 | function KS2Wrapper(basepath)
%Kilosort 2 wrapper for neuroscope users. It extract informations from your
%.xml to perform spike sorting.
%
%Eliezyer de Oliveira 02/03/2020
%% some flags for the script
neurosuite_files = 0;
%% you need to change most of the paths in this block
if nargin<1
basepath = pwd;
end
%... |
33f6c2a3d9b2860a6518ff00b6f01702d444dc14c6e573c23718af9b6c91211d | MATLAB | 2,750 | 88 | function stabilityvals = CBIG_determineK_single(x,res)
% stabilityvals = CBIG_determineK_single(x,res)
%
% Compute stability of parcellation computed from re-sampled data. The
% stability is defined by the cost of Hungarian matching between two label
% assignments. The first label assignment is computing the probabili... |
53fcbda788ec9d52441cf090d2e0d1ac45ccca89e96698cb443927e5d8e9fb5b | MATLAB | 2,750 | 106 | %% plot SpikeWaveforms
% Generic Method to plot the spikeWaves from the 'SpikeTimeCell'
%
% --> Also called as a method for ppDataCell
% --> Future stability upgrades will be needed.
% Copyright (C) 2023 Trevor S. Smith
% Drexel University College of Medicine
%
% This program is free software: you can redistribute i... |
8415cd2819b8bfd4c401ff8877c5592ff81a454b84344e4e75bfd9d985eca809 | MATLAB | 2,750 | 78 | function [model, logev, postSummary] = linregFitBayes(X, y, varargin)
% Bayesian inference for a linear regression model
% The model is p(y|x) = N(y | w'*[1 x], (1/beta))
% so beta is the precision of the measurement noise
%
% INPUTS:
% prior: one of these
%- 'uninf' means use Jeffrey's prior on w and beta
%- 'vb' mea... |
8466fb25a4df5062741e4e329f8b7802927f52c3603a649bfd2a115cef4473a6 | MATLAB | 2,750 | 52 | function isargfile(varargin)
%ISARGFILE tests if the given arg is a file and returns an error otherwise
%
% Usage: isargfile(arg1,arg2,...)
%
% Input options:
% args - list of args
%
% ISARGFILE(args) tests if all given args are a file and returns
% an error otherwise.
%
% see also: isargdir
%**... |
cd34811c689e949383b4109996fea8b4ba2e2dffa2fb64b64528dbb8ea5e01f7 | MATLAB | 2,750 | 101 | %% clear workspace
close all;
clear all;
clc;
%% load tf data
addpath C:\code\spm12
spm('defaults','eeg')
addpath('C:\Code\fieldtrip-20210302')
addpath('C:\Code\wjn_toolbox')
% ft_defaults
%Dt=spm_eeg_load('data/iEEG/tf_spm_ecog.mat');
% modfied path
Dt=spm_eeg_load('D:\ECoG_Atlas\iEEG\iEEG\tf_spm_ecog.mat')
%% set ... |
f38fcc51d59bff06ffb62446c4606becacdbda6bc7f9c6bdd917687da670f5ef | MATLAB | 2,750 | 114 | function [omckk,Tckk,Rckk,JJ] = compute_extrinsic_refine_fisheye(omc_init,Tc_init,x_kk,X_kk,fc,cc,kc,alpha_c,MaxIter,thresh_cond)
%compute_extrinsic
%
%[omckk,Tckk,Rckk] = compute_extrinsic_refine_fisheye(omc_init,x_kk,X_kk,fc,cc,kc,alpha_c,MaxIter)
%
%Computes the extrinsic parameters attached to a 3D structure X_kk ... |
0b4df2235a9eac82255d6cdc02e805141664bb0adf0bb393f7e97cc5e042d3e1 | MATLAB | 2,751 | 101 | function [theta,phi] = get_HRFparams(TR,microDT,lin,verbose)
% get Ballon model parameters from canonical SPM HRF
% function [theta,phi] = get_HRFparams(TR,microDT,lin,verbose)
% IN:
% - TR: the data sampling (in sec)
% - microDT: the micro-time resolution (in sec)
% - lin: a flag for the linearized version of ... |
26653a79cef7c44ab07b873cc5d2ff5f12235d269f8cafac7692d1e648cb016c | MATLAB | 2,751 | 59 | %Step 1 of CBIG Kong2019 Brain Parc Pipeline
%
%To run: 1. Open Matlab using salloc (ex: `salloc --mem-per-cpu 200G --time 2:00:00 --x11`)
% 2. source your config file containing the $CBIG_CODE_DIR variable
% -It might be helpful to `cd` to the $CBIG_CODE_DIR/stable_projects/brain_parcellation/Kong2019_MSHBM/step1..... |
f38b236fac8877ba31493c76c57903022df79f90eca04f8d937aa3651ffc0112 | MATLAB | 2,751 | 59 | %Step 1 of CBIG Kong2019 Brain Parc Pipeline
%
%To run: 1. Open Matlab using salloc (ex: `salloc --mem-per-cpu 200G --time 2:00:00 --x11`)
% 2. source your config file containing the $CBIG_CODE_DIR variable
% -It might be helpful to `cd` to the $CBIG_CODE_DIR/stable_projects/brain_parcellation/Kong2019_MSHBM/step1..... |
247e044a611d8832f0f709f753718060203016904c139d0b99abde986d285ae0 | MATLAB | 2,752 | 122 | function LAN = vol_thr_lan(LAN,thr,type,tagname,elec)
% <*LAN)<
% v.1.1
%
% Detect voltange variations, in voltages, zscore, or corre
% thr : threshold
% type: v : voltage
% z : voltage (zscore)
% c : between-electrode correlation (zscore)
%
% 17.06.2023 fixed posit... |
311f7376e9aac7d3ffa8dc6d93e20baccdb961792415aeba1c221de4c089b928 | MATLAB | 2,752 | 88 | classdef Grid < handle
% Grid is a class used to represent basic information about a grid,
% including how @dimension_count, the @points along each axis, its
% @shape in terms of number of points per dimension, and its @origin,
% i.e. the vector composed of minimums of @points along each dimension.
... |
58117b52efaf492d9e31eeabb5c2ff56f63706360cd374282a7c1b7ba5324a9c | MATLAB | 2,753 | 80 | function [avg] = read_ns_avg(filename)
% READ_NS_AVG read a NeuroScan 3.x or 4.x AVG File
%
% [avg] = read_ns_avg(filename)
%
% The output data structure avg has the fields:
% avg.data - ERP signal in uV (Nchan x Npnt)
% avg.nsweeps - number of accepted trials/sweeps in avg
% avg.variance - varian... |
caf72c5e965964638d68aeff2a4f3982060ada9f4ce0c8f25fe0668f05dcb87b | MATLAB | 2,754 | 69 | function SetFont(typeface, fontsize)
% Set typeface and font size for all defaults.
% SetFont(typeface [char], fontsize [int])
% SetFont('Arial', 16)
% This function can be run as a standalone or called at the beginning of a figure
% generation script to ensure that all font elements are consistent... |
32c359089cf28cfe2853ed393f0320c967d7e117d6ec134a672b7b0c97c92017 | MATLAB | 2,755 | 66 |
% Fix possible splitting of responses between two consecutive frames
% Version 2 - accumulate everything from one frame to the next
function ImageArray_NoStim_CorrAmp_norm_2 = FixSplitting2_noProg(ImageArray_NoStim_CorrAmp_norm, ImagesPerSequence)
ImageArray_NoStim_CorrAmp_norm_2 = zeros(size(ImageArray_No... |
c8348e4d24e9947a63588946791f6eb54f354cab4712a831816e11f889cf7387 | MATLAB | 2,755 | 105 | %% Sketch of difference between Generative vs Discriminative classifier
%
%% Class conditional densities
% This file is from pmtk3.googlecode.com
figure;
hold all;
domain = 0:0.001:1;
f1 = @(x)gaussProb(x,0.7,0.09.^2);
%f2 = @(x) 0.4*gaussProb(x,0.2,0.09.^2) + 0.6*gaussProb(x,0.5,0.09.^2);
f2 = @(x) 0.6*gaussProb(x... |
9bb98ec0b402c3faac53df85e3fb9685a8cf34fd7a34b31ab85880a34449f67b | MATLAB | 2,756 | 96 | function visualizeData( X, k, IDX, types, C )
% Project high dim. data unto principal components (PCA) for visualization.
%
% Optionally IDX can be specified to indicate different classes for the
% points; in this case points in different classes are displayed using
% different colors. Up to 12 types are handled (for t... |
3154eb0670693366f8f3eff8d0167aa316b6b26e1f8395b13a37a5560d7e0420 | MATLAB | 2,757 | 73 | function [a,res_out,k,field_theo]=dipole_fit(f,fp,ndip,para);
% fits an n-dipole model to a given surface potential or magnetic
% field at one time-point using the Levenberg-Marquadt method.
%
% usage: [a,res_out,k,field_theo]=dipole_fit(f,fp,ndip,para);
%
% input:
% f: nx1 vector with n measurements for n-channels... |
8b30d0f2530caa9d4b8d987530154b119436530ee5e0f65bca1d2bdbb40a9db6 | MATLAB | 2,758 | 108 | % theta = choose_orientations(x,y,phi,velocity_angle_weight,[max_velocity_angle_weight=1])
%
% we will set the orientation to theta_t = phi_t + s_t * pi
% we want to choose s_t to minimize
% \sum_t cost(s_t|s_{t-1})
% cost(s_t|s_{t-1}) = [(1 - w(||v_t||^2))*d(\theta_t,\theta_{t-1}) +
% w(||v_t||^2)... |
64b23a14b64c34de1fe1c8bb481b7d4523ed9044d0dcbe6abfa12f72027fd05d | MATLAB | 2,759 | 75 | % Purpose: Convert lh_labels and rh_labels to gifti shape files for later WB
% visualization
% Inputs: lh_labels and rh_labels from calculate_ai.m and template gifti
% files in appropriate resolution.
% Outputs: .shape.gii files containing AI values.
%
% Note: Template .shape.gii files can be created using mris_vol2su... |
8bdec2b8b23749c27194b1b2052a1b805eeeca40c85c999fbd3a95fbe0dc1e38 | MATLAB | 2,759 | 111 | % This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
8e22d07d862e75499730e13c474b130a2c758eaa453462254cf7bebfe3829fee | MATLAB | 2,762 | 96 | %% Simple Tests of the svmFit interface
% PMTKslow
% PMTKneedsOptimToolbox quadprog
%% First we check that the 3 implementations give the same
% results on a simple binary dataset
% This file is from pmtk3.googlecode.com
requireOptimToolbox
loadData('crabs');
model = svmFit(Xtrain, ytrain);
yhat = svmPredict(model... |
63bcd65fef3dcda52975fe3d4ea3572c288af8a89e941918f3fa69d96c2c5067 | MATLAB | 2,764 | 81 | % check_events processes digitalin events from intan digitalin.dat. Allows
% user to verify number of events and duration of epochs in case of event
% errors that may arise during acquisition.
%
% Load info.rhd for recording parameters
[~, ~, ~, ~,~, ~, frequency_parameters,~ ] = ...
read_Intan_RHD2000_file_snlab(... |
fb8b4ee86c5b3e6ac7c7277ab9b364cac811c9ef8966bdf343ae852959ccc871 | MATLAB | 2,764 | 65 | function [lh_label, rh_label] = CBIG_project_from_fslr_to_fsaverage(lh_label_fslr, rh_label_fslr, abs_path_to_output_folder)
% [lh_label, rh_label] = CBIG_project_from_fslr_to_fsaverage(lh_label_fslr, rh_label_fslr, abs_path_to_output_folder)
%
% This function projects labels (parcellation labels, activation
% patter... |
11dd7e815a48b78fe06b7d4c8de89791e2412f4fd3f830ca6ff563b8c2e098e2 | MATLAB | 2,766 | 87 | % SIMPLSFunction.m
% Sarah West
% 6/30/22
% SIMPLS Basic SIMPLS. Performs no error checking. Taken from source code
% of Matlab built-in function plsregress.
function [Xloadings,Yloadings,Xscores,Yscores,Weights] = SIMPLSFunction(X0,Y0,ncomp)
[n,dx] = size(X0);
dy = size(Y0,2);
% Preallocate outputs
outClass = supe... |
bce6940a1d05f91230ba8ca6a673c0ac1239a3fd46b1970c902215279331dac3 | MATLAB | 2,768 | 84 | function check_process_summary(paths)
%Run to update summary for all folders titled data
%paths is a list (>=1) of strings of parent folder paths containing target
%"data" folders
%
%Input (for mac):
% paths (str array): ["/Volumes/sn data server 3/laura_berkowitz/app_ps1_ephys",...
% "/Volumes/sn data server 3/la... |
58ca1b0babee25f8c3d069f742b661daed1ed6420b40bf1b9241116ce3faa7dc | MATLAB | 2,769 | 105 | function [zeitgeberTime relativeTime absTime] = bz_getZeitgeberTime(basename,downSampleFactor)
% assumes pwd is basepath for now
%% get timestamps for recording starts
parts = strsplit(basename, '_');
date = parts{end-1};
if strcmp(parts{end},'merge') % if multiple sessions are merged, find the start times of each
... |
1d57afcec712e1a72435492ae80963200113548c7a28b4f0e26f3a0cf29c78e9 | MATLAB | 2,771 | 110 | function showvc_prog_plain(loc,tri,view_dir,para);
cmap=1;
voxelkont=0;
mycolormap='jet';
colorbars=1;
if nargin>3
if isfield(para,'cmap')
cmap=para.cmap;
end
if isfield(para,'voxelfield')
voxelfield=para.voxelfield;
voxelkont=1;
end
if isfield(para,'mycolormap')
mycolormap=para.mycolormap... |
21089214d4d8a90981ba23e8a9aed128fae64de48773a7767cba0777161bb104 | MATLAB | 2,771 | 98 | function coords = sam_unwarp_command(sn3d, img, coordsFile, talUnits)
%
% coords = sam_unwarp_command(sn3d, img, coordsFile, talUnits)
%
% [sn3d] is the sn3d.mat warping file
% [img] is an unwarped ANALYZE (*.img) file
% [coordsFile] is mx3 matrix of mni or tlc coords. m=how many points.
% [talUnits]=1 for tlrc, 0 for... |
87858a2ad265c2c5460b8f29d9a8526d50550a332304cd676ee47fc8680711bd | MATLAB | 2,771 | 98 | function plot_task(res, timing_table, save_path, no_legend, cmap)
% PLOT_TASK Plot the Mapper Graph based on task data
%
% :param res: the results from running Mapper
% :type res: Mapper struct
%
% :param timing_table: describes the task performed as classifying
% each TR as a value described in 'task... |
ba2cf34348f6a01177538cc2a1d711c3a9dd0d893e8c9d452165a1beb017d7d1 | MATLAB | 2,771 | 92 | %% Cohen's D Effect Size; Tabular Display;
% Use for multi-comp HH testing, evaluate effect sizes;
%
% Display a UI figure here for ease of interpretation, rather than save to
% var-space. (Expectation: We will first have screened for significance, so
% this is just a measure of the differences in the means of the e... |
ca523a14638ecbbc8e93f5b0cb4cc854d9b610fc93dfd5613b74fec1004f0950 | MATLAB | 2,771 | 93 | %% Generates the figure 2g
%% Requires set:
% - fn_timing
% - res_path
% - mapper_name
% - CHANGE_POINTS
workspace = getenv('WORKSPACE');
fn_timing = [workspace, 'data/cme/timing.csv'];
res_path = [workspace, 'results/cme/ch10_mappers_cmev3_disp.json'];
mapper_name='BDLMapper_12_30_60';
CHANGE_POINTS = 10;
% Get the ... |
8fac8db0da5a416a9bb67b6f303b30c5f31356dc30a40062369c907ecbca0c0c | MATLAB | 2,772 | 80 | function [ehat,v_e,etahat,v_eta] = VBA_getNoise(posterior,out)
% returns the Laplace approximation to the innovations posterior density
% function [ehat,v_e,etahat,v_eta] = VBA_getNoise(posterior)
% This may be useful if one is interested in recovering, e.g., the state
% noise that enters and perturbs the system. In pa... |
c93adce6c4cbafd69cd943ece4fde25f05261af3a8ee728b44ffb07775f3541b | MATLAB | 2,772 | 115 | function cl = iimg_stouffer(Pimg,maskname,thr,clsize,outname)
% This function performs combination of p-values across images using the
% Stouffer method (see refs below).
%
% :Usage:
% ::
%
% function cl = iimg_stouffer(Pimg,maskname,thr,clsize,outname)
%
% :Inputs:
%
% **Pimg:**
% string mtx of p-value... |
d8cff40a0f984eb6350f43c2797afec5d63f7b934151285d3878e7085add48a6 | MATLAB | 2,772 | 88 | function [isvalid msg] = verify_tracks(filename,targettype)
% function [isvalid msg] = verify_tracks(filename,targettype)
% Check integrity of tracks file (see published doc as a guide).
%
% filename: full path to trx file
% targettype: JLabelData targetType
%
% isvalid: true if trx file passes all checks, false other... |
e9374be3ec8e52e49ccd87697a93f82b15eac550481dd3cc8012395ce7a28e16 | MATLAB | 2,772 | 109 | function hout=suptitle_mod(str)
%SUPTITLE puts a title above all subplots.
%
% SUPTITLE('text') adds text to the top of the figure
% above all subplots (a "super title"). Use this function
% after all subplot commands.
%
% SUPTITLE is a helper function for yeastdemo.
% Copyright 2003-2014 The MathWorks, Inc.
% W... |
8600c484b011bcad5ebab188cd674f529cb9b50d44cfc0abaf1b8592bdfd014b | MATLAB | 2,773 | 95 | %{
Copyright (c) 2025 Axion BioSystems, Inc.
Contact: support@axion-biosystems.com
All Rights Reserved
%}
classdef CRC32 < handle
%CRC32 Class for calculating CRC32s
% For Quick Reference, see http://en.wikipedia.org/wiki/Cyclic_redundancy_check
% CRC32 implementation adapted from: http://da... |
07c94c2bcbb0d7d81c52ca9d82a2afe8bd87e29a4bbbce083b1ffa3af7ae8cd7 | MATLAB | 2,774 | 73 | areatxt{1} = 'lip'; areatxt{2} = 'fef';
rgb = [0.1 0.4 0.5; 0.7, 0.4, 0.7];
timevector = -0.05:0.001:0.2;
clear h
labels = [{'Singleton distr in RF'}; {'Non-singleton distr in RF'}];
for iArea =1:2
xlimToPlot = [-0.05 .2];
figtitle = upper(areatxt{iArea});
figure('Name', figtitle , 'NumberTitle',... |
7e3ac03bfcc46cc8edaf190c559b986f13339afaf5449640a3764cfe9145b015 | MATLAB | 2,774 | 115 | %% 1d Gaussian MRF for inferring a function
% Based on p140 of "Introduction to Bayesian scientific computation"
% by Calvetti and Somersalo
function gmrf_1d()
[obs, obsNdx, hidNdx] = make_data();
demo(obs, obsNdx, hidNdx, sqrt(1/60));
%demo(obs, obsNdx, hidNdx, 0.1)
%demo(obs, obsNdx, hidNdx, 0.01)
end
... |
99fbded81a71864b06ed0ee6d729d4cda8d2a9f6fb60dda91c076fae591957f8 | MATLAB | 2,774 | 99 | % Compare energy statistics with KS and parametric Hotelling
% prob_sr replicates Table 1 from
% Szekely & Rizzo (2004) Testing for equal distributions in high dimensions
% See also
% Baringhaus & Franz (2004) On a new multivariate two-sample test
% for Hotelling T^2 comparisons
n = [10 15 20 25 30 40 50 75 100];
de... |
9b619cb40ee3eb73a0f21928d723d0dcc42c8d36d3749585df499797c1f1c2e7 | MATLAB | 2,774 | 74 | function [a,res_out,k,field_theo]=dipole_fit_field(f,fp,ndip,para);
% fits an n-dipole model to a given surface potential or magnetic
% field at one time-point using the Levenberg-Marquadt method.
%
% usage: [a,res_out,k,field_theo]=dipole_fit_field(f,fp,ndip,para);
%
% input:
% f: nx1 vector with n measurements fo... |
e3bd1ceea181504216671aa261688f9977cb1e9d12e752426c84115b77145cf7 | MATLAB | 2,774 | 92 | %% Stochastic gradient descent for logistic regression problem
% This file is from pmtk3.googlecode.com
%PMTKslow
setSeed(0);
% Use classes 2,3 for simplicity
Ntrain = [];
[Xtrain, ytrain, Xtest, ytest] = mnistLoad([2 3], Ntrain);
% replicate the training set to illustrate
% benefit of SGD
rep = 1;
Xtrain = repmat... |
ee85eb801a0978afa48ae8bc7105f6adfe5b727247fcedc38aeeff6cd4ebb8cf | MATLAB | 2,774 | 66 | function suffStat = VBA_Hpost(posterior,suffStat,options)
% Posterior entropy calculus
% function suffStat = VBA_Hpost(posterior,suffStat,options)
% This function evaluates the entropy of each marginal posterior density.
% IN:
% - posterior: a structure containing the natural parameters of the
% marginal posterior ... |
5b04c56dbfa00a3f6a807b53a45d7cede432ea9bb777ce227fc44bf1a2553753 | MATLAB | 2,775 | 59 | function Obj = SOFAaddVariable(Obj,Name,Dim,Value)
%SOFAaddVariable
% Obj = SOFAaddVariable(Obj,Name,Dim,Value) adds a user-defined variable
% to the SOFA structure OBJ. NAME must be a string with the variable name
% ('API', 'PRIVATE', or 'GLOBAL' are not allowed). DIM is a string
% describing the dimensions ... |
485fa81b63174e0d0e0ab48c68d0f0f0a905c3eec44343ff8b56f28066174b17 | MATLAB | 2,778 | 105 | function [position,hline] = get2ptline(varargin)
if nargin < 1,
hax = gca;
hfig = gcf;
else
h = varargin{1};
htype = get(h,'type');
if strcmpi(htype,'figure'),
hfig = h;
hax = get(hfig,'CurrentAxes');
elseif strcmpi(htype,'axes'),
hax = h;
hfig = get(hax,'parent');
else
error('Parent ... |
063ce144b9e6ec319d31a28dfafd82f19ddc7a7d5835cc584897f9e1ec46fefe | MATLAB | 2,779 | 67 | function h_makeRoi3(handles)
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
obj = get(handles.imageAxes, 'Children');%unselectAll.
set(obj, 'Selected', 'off');%unselectAll.
Roi_size = h_getROISize3(currentStruct.state.ROISizeOpt.string);
switch currentStruct.state.roiS... |
3583681c8a08b3d8b15bb15ba54eac5848f262e6d258975d7fb0a8a24d5ed242 | MATLAB | 2,780 | 68 | %go_calib_optim
%
%Main calibration function. Computes the intrinsic andextrinsic parameters.
%Runs as a script.
%
%INPUT: x_1,x_2,x_3,...: Feature locations on the images
% X_1,X_2,X_3,...: Corresponding grid coordinates
%
%OUTPUT: fc: Camera focal length
% cc: Principal point coordinates
% alpha_c... |
cf953ef7969739dfd3f2b3e3b50a5394a04d1df2627b8b0fd5db59cf8d15cbc2 | MATLAB | 2,780 | 80 | % This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
de2e90089ac61d0b89084f17fc4d335d57617ed1f0dc09b22c2261b5df503e92 | MATLAB | 2,780 | 126 | load ../data/sigSL_allSessions_Ariel_230522.mat
S = sigSL_Ariel;
MinC_minus_I = S.MinC - S.MinI;
%%
RT = S.rt/1000;
ntr = length(S.choice);
% tind = S.t>=0.2 & S.t<=0.3;
% min_RT = 0.4;
% max_RT = 0.7;
tind = S.t>=0.1 & S.t<=0.4;
min_RT = 0.5;
max_RT = 2;
d = nansum(MinC_minus_I(:,tind),2);
% d = nansum(S.TinC(:,... |
1eb4d170c30b3b542e59c7fd395735c708a2d07b90ae6867eed52a392f634559 | MATLAB | 2,782 | 79 | function [track] = read_trk(filename, refine)
%read TrackVis .trk format data
% fillPath: filename of track to read.
%for format details http://www.trackvis.org/docs/?subsect=fileformat
fid = fopen(filename);
hdr = get_hdr(fid);
if hdr.hdr_size~=1000
fclose(fid);
fid = fopen(filePath, 'r', 'b'); % Big endian for... |
2090f048a2cda6b5cb5d12778730a1ef3289b1d4a7a02f817ad38daa9964ca09 | MATLAB | 2,782 | 82 | %% This file should exist in the same folder with 'createCirclesMask.m' and 'fluorescentimagefile.jpg' files
close all;
clear all;
clc;
I=imread('Picture6.jpg');
I_red=I(:,:,1);I_green=I(:,:,2);I_blue=I(:,:,3);
%%%identify DAPI and count number of cells
BWb=I_blue>50;
BWc = bwareaopen(BWb,10);
BWb2 = bwm... |
b8dd561b359e61b3d49848036df09def79abe3c6172e4f0b67619f41c4ef5436 | MATLAB | 2,782 | 92 |
%%
% Plot significance of the population through time with the specified
% threshold value (0.05 by default.) multiple plots allowed.
args=opts.PlotFCN{plotFCNidx,3};
[args,PlotValueField]=ProcVarargin(args,'PlotValue',[]);
[args,PValField]=ProcVarargin(args,'PVal',[]);
[args,SigThresh]=ProcVarargin(arg... |
d0485ace0a5bffc46a1e9adce4cd0948b8947074cbd90a794b45253dc13b00bc | MATLAB | 2,782 | 94 | % Main script for the state switching EEG experiment (September 2017)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% enter subject ID & task variant %%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
prompt = {'Enter subject ID:','Enter paradigm (dynamic/words/visual):'};
dlg_title = 'StateSwitch Input';
num_lines = 1;
defaultans =... |
4d781931377c49f71e0182f54b434661c0710301d5e4952b776673eca245ff9b | MATLAB | 2,783 | 119 | function [omckk,Tckk,Rckk,JJ] = compute_extrinsic_refine2(omc_init,Tc_init,x_kk,X_kk,fc,cc,kc,alpha_c,MaxIter,thresh_cond),
%compute_extrinsic
%
%[omckk,Tckk,Rckk] = compute_extrinsic_refine2(omc_init,x_kk,X_kk,fc,cc,kc,alpha_c,MaxIter)
%
%Computes the extrinsic parameters attached to a 3D structure X_kk given its pro... |
95cb26466fdbafea20f7bafa5b133b52720b1b7a300c13c1eb0fabad44947ede | MATLAB | 2,783 | 120 | function hout=pathtitle(str)
%SUPTITLE Puts a title above all subplots.
% SUPTITLE('text') adds text to the top of the figure
% above all subplots (a "super title"). Use this function
% after all subplot commands.
% Drea Thomas 6/15/95 drea@mathworks.com
% John Cristion 12/13/00 modified
% Mark Histed 03/13/04 histed@... |
b2497a62c66839f5bc6150b0a44e77545cdf864f4ffe6f74ae5cda74dd5dfc76 | MATLAB | 2,783 | 100 | function W = compute_mesh_weight(vertex,face,type,options)
% compute_mesh_weight - compute a weight matrix
%
% W = compute_mesh_weight(vertex,face,type,options);
%
% W is sparse weight matrix and W(i,j)=0 is vertex i and vertex j are not
% connected in the mesh.
%
% type is either
% 'combinatorial': W(i... |
be421ea56281e6b84847452fa58104fcfc55029aaaaba1f890158131eaf893db | MATLAB | 2,783 | 100 | movfile = '/groups/huston/hustonlab/aviFrameStamped/frameNumAdded_Xvid.avi';
nreads = 3;
nframestest = 200;
%% read in frames using get_readframe_fcn, but in order, so calling read(f)
[readframe,nframes0,fid,headerinfo] = get_readframe_fcn(movfile);
nr = headerinfo.nr;
nc = headerinfo.nc;
nframes = min(nframestest,nf... |
15f7ec73ae7222c42d609bb4daa47e4931ef06e3ff9d66dc6e6ebe425de193f6 | MATLAB | 2,784 | 85 | function [tfr,t,f] = tfrwv(x,t,N,trace);
%TFRWV Wigner-Ville time-frequency distribution.
% [TFR,T,F]=TFRWV(X,T,N,TRACE) computes the Wigner-Ville distribution
% of a discrete-time signal X,
% or the cross Wigner-Ville representation between two signals.
%
% X : signal if auto-WV, or [X1,X2] if cross-WV.
% T ... |
6c8bd42181844d2f9b19a69398b674920c8c7d31a2fa3c4712c454662f572f84 | MATLAB | 2,784 | 67 | function [hM,meta,stimPar]=SOFAconvertSOFA2ARI(Obj)
% OBJ=SOFAconvertSOFA2ARI(hM,meta,stimPar) converts the HRTFs described in hM, meta, and
% stimPar (see ARI HRTF format) to a SOFA object.
%
% Copyright (C) 2012-2013 Acoustics Research Institute - Austrian Academy of Sciences;
% Licensed under the EUPL, Version 1.1... |
88a8e0aece9d57dc40e9aaf3cd6c5f749db224eb3d08d7d854a859ce206d4d1d | MATLAB | 2,784 | 92 | function [subm, vidx, submFidx] = submeshFromV(mesh, vidx, clipears)
% get a submesh by specifying vertex indices
%
% subm = submeshFromV(mesh, vidx)
%
% mesh : struct with fields v, f, vn, (optionally u)
% subm : same
% vidx : logical index
%--------------------------------------------... |
d47d7f11fc7a32ff5af30bf26bdf8b04703bfa1ddc147ce58990d39d21b5cbf0 | MATLAB | 2,784 | 64 | function [output_signal, G1, G2] = reconstruct_signal(input_signal, first_order_kernel, second_order_kernel)
% Adapted from a script by Ayad Al-Rumaithi from the Mathworks File Exchange
% https://uk.mathworks.com/matlabcentral/fileexchange/71799-volterra-wiener-characterization
% Calculate the length of input... |
2de001fbf4494da43c2ef06993360b4ca3de8fe54387984c99633e5416b9694d | MATLAB | 2,785 | 72 | function [Kernel, features, D] = build_kernels_cv(datadir, hmmdir, kerneldir, HMM_name, leaveout_foldN, Fn, Kn, iterN)
% [Kernel, features, D] = build_kernels_cv(datadir, hmmdir, kerneldir, HMM_name, leaveout_foldN, Fn, Kn, iterN)
%
% build kernels from HMMs fit only to training fold subjects
% (wrapper for hmm_kernel)... |
034f9fe72199a9bfe6dea93a7fc7812e12c23f479a27869f4c9bffb0bff3cba0 | MATLAB | 2,786 | 85 | function f = VBA_spm_Npdf(x,u,v)
% Probability Density Function (PDF) of univariate Normal distribution
% FORMAT f = spm_Npdf(x,u,v)
%
% x - ordinates
% u - mean [Defaults to 0]
% v - variance (v>0) [Defaults to 1]
% f - pdf of N(u,v) at x
%_______________________________________________________________... |
0ca4621ef0f2dc0bf5ae560460ce989ff97c490706c4bf4d6ea67c7d846e74b0 | MATLAB | 2,786 | 114 | %b8d3721ed219e65100184c6b95db209bb8d3721ed219e65100184c6b95db209b
% For EEGLAB and LAN format
% windows in points of signal
% Only for continuous data
%
%
% Author: Javier Lopez-Calderon, CMB
% Davis, December 2007 - June 2008
%
% Copyright (C) 2008 Javier Lopez-Calderon & Steven Luck,
% Center for Mind and Bra... |
8dbf9fa3d31e451fb0e6e115727713403f0def68ece528ff5c1ef6f24a36c4b0 | MATLAB | 2,786 | 83 | % ReshapeContinuousData.m
% Sarah West
% 1/23/23
% Reshapes continuous data from PLSR so each contnuous data type is in its
% own entry in a new, last dimension.
% Needed inputs:
% parameters.data
% parameters.variablesDimIn
% parameters.this_comparison_set
% Outputs:
% parameters.data_reshaped
function [paramete... |
f414fa021efab13924c283e8e8cfaa9e5df65c6c76ea70773f1a7ac23a3e5bc4 | MATLAB | 2,786 | 118 | function hf = unwrapKTOM(x,inG)
% display k-ToM's evolving beliefs over trials
% function unwrapKTOM(x,options)
% IN:
% - x: k-ToM's hidden-states
% - inG: the input structure to g_kToM.m
% OUT:
% - hf: display figure handle
K = inG.lev; % sophistication level
nt = size(x,2); % nb of trials
Ntot = inG.indParev ... |
fcc96cd4d3da04884dfd907ddad9be41380cfa1f3d9713a2a1d12bd39721e892 | MATLAB | 2,786 | 80 | function clusterRates(spikeMat, modelParam, network, varargin)
% plots.clusterRates(spikeMat, modelParam, network);
%
% Generates a plot of the mean spike rate, mean cluster-wise spike rate,
% and z-scored cluster-wise spike rate from the data in spikes_V_m
%
% Inputs:
% - spikeMat: E-cell binary spike matrix from one ... |
23a7a436e53926c06362f267d1970b32e5c61cddb9e50aba4872f3af8f101607 | MATLAB | 2,788 | 96 | function model = svmlightFit(X, y, C, kernelParam, kernelType, saveAlphas, options)
% Call svmLight to fit a binary SVM classifier using the specified kernel,
% (rbf by default). If RBF, the kernelParam is gamma in
% exp(-gamma ||X-X'||^2).
%
% Supports classification and regression.
%
%
% model is a structure which c... |
dfd7cbe850e4ee7b244a776a1848751155d9e12cac0d9442dcb7421472959b76 | MATLAB | 2,788 | 77 | %{
Copyright (c) 2025 Axion BioSystems, Inc.
Contact: support@axion-biosystems.com
All Rights Reserved
%}
classdef LeapInductionEvent < Tag & matlab.mixin.CustomDisplay
%LEAPINDUCTIONEVENT Tag that describes a LEAP induction event
properties(GetAccess = private, Constant = true)
CurrentVers... |
fe1ccfb79cb0dc8a67ed2e9052582b61659473865740e8cc441cf7fe4f502bc5 | MATLAB | 2,789 | 101 | function mesh = make_cylinder(sizevar,surf)
% mesh = make_cylinder(sizevar)
%
% Creates a 3D cylindrical mesh
%
% sizevar.xc - x coordinate of the center
% sizevar.yc - y coordinate of the center
% sizevar.zc - z coordinate of the center
% sizevar.r - radius
% sizevar.height - height
% sizevar.dist - distance between ... |
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