sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
acde529875a8450ecf9fd6d482e57c6eafbebf109eb755051d08c2d3a03d94a3 | MATLAB | 1,620 | 49 | function y = amexpo1s(N,t0,T);
%AMEXPO1S Generate one-sided exponential amplitude modulation.
% Y = AMEXPO1S(N,T0,T) generates a one-sided exponential
% amplitude modulation centered on a time T0, and with a
% spread proportional to T.
% This modulation is scaled such that Y(T0)=1.
%
% N : number of points.
% T0 : a... |
cd55443fd919e128436c3f97fe3d128452c869a971aead4326dcb19d89be507d | MATLAB | 1,620 | 1 | % TSSETOVERWRITEMODE Turns overwriting on or off for all TS routines.
% TSSETOVERWRITEMODE(mode) turns overwriting on or off for all TS
% routines. This controls whether sessions that have already been loaded
% are reloaded and whether statistics that have already been computed are
% recomputed. When overwrite... |
f9f7f95c52e2504f7924feef5ebdb072d635c81ed1c8ba1c893a1aaacc216493 | MATLAB | 1,620 | 51 | function [model, loglikHist] = emAlgoAdaptiveOverRelaxed(model, data, init, estep, mstep, mstepOR, varargin)
% Adaptive over-related EM algorithm
% Reference: "Adaptive Overrelaxed Bound Optimization Methods",
% Ruslan Salakhutdinov and Sam Roweis, ICML 2003
%
% mstepOR shoud be a funciton of the form
% [model, valid]... |
13aa5f3413bb6d3440496f845b7fa97a75c0695e903c6ea2458e0197db440e4d | MATLAB | 1,621 | 37 | % Pooled
[corr_pyr_all,corr_pyr_int_all] = extract_variables ('pair_corr','tot',resultsPath, 'pyr_all', 'pyr_int_all',conditionType,conditionValue);
for recCounter = 1:size(corr_pyr_all,2)
for pyrCounter = 1:length(corr_pyr_all{recCounter})
corr_pyr{recCounter}(pyrCounter) = mean(corr_pyr_all{recCounter}{p... |
007ea1b99b709b322da04aba6ef9ff82b955f34a751393798806264223363db5 | MATLAB | 1,622 | 38 | function offset = time2offset(time, fsample)
% TIME2OFFSET converts a time-axis of a trial into the offset in samples
% according to the definition from DEFINETRIAL
%
% Use as
% [offset] = time2offset(time, fsample)
%
% The trialdefinition "trl" is an Nx3 matrix. The first column contains
% the sample-indices of the... |
50d5df98afee4ee486997056c8ec4afd2612de5025769b781966fab1ceb42ddd | MATLAB | 1,622 | 49 | %% initialize
if ispc
pn.root = ['D:',filesep,'Dokumente und Einstellungen',filesep,'guest',filesep,'Desktop',filesep,'StateSwitchMR',filesep,'C_Paradigm',filesep];
else
disp('Setup no supported.');
pn.root = ['/Users/kosciessa/Desktop/StateSwitchMR/C_Paradigm/'];
end
pn.CB = [pn.root, 'checker',fil... |
61e005338c3b9fdc4dca2e894d1f3f9926311410c47f73356f99c932b22c6073 | MATLAB | 1,622 | 100 | clear
clc
close all
%script that plots behavior regression weights across all animals
load data/numsessions_all_rats
%%% (generated by number_sessions_per_rat.m)
rat_list=rats(find(numhits>=120000 & early_rat==0));
plot_type='difference';
for iii=1:length(rat_list)
ratto=rat_list{iii};
[d_shap... |
624513bd8b187b31a04605529713a4a5fa161d0e96ded9b3582167c803c732f3 | MATLAB | 1,622 | 67 | %
% Name: demo_PCA1.m
%
% Description: Generates multivariate Gaussian samples and applies PCA to
% extract the dimensions of maximum variance and projects the
% samples onto them
%
% Author: Brian Moore
% brimoor@umich.edu
% ... |
a1e29742b2e3e073d8ee7c5e8bab83c83c3a5a5aff4d14317f2de1bb3ad8c078 | MATLAB | 1,622 | 65 | %%
% Extracted from 'testSig' to better segregate the predictions; May be
% redundant
%_______________________________________
% Copyright (C) 2024 Trevor S. Smith
% Drexel University College of Medicine
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General ... |
b4afb9bb20f157e4c9bfef77b6a2d832be5ba6109ab93291e5f20cba8ee25a2e | MATLAB | 1,623 | 70 | % 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,... |
57de4a5663080be7a6ef203402a18e21b5a7c050e932ce14da596406a4dfa3d3 | MATLAB | 1,624 | 35 | function [rfunc_file, rp_file] = realignment_byrun_4d(func_file,out_path)
% Expand func filenames. A single 4D Nifti file is expected per run. An
% SPM-style list of volumes is returned.
[func_p,func_n,func_e] = fileparts(func_file);
func_vols = cellstr(spm_select('ExtFPList',func_p,['^' func_n func_e '$'],inf));
% S... |
87c14f5b9cf6e9c70db5f371867076152dfe6133bfdeccc238cf7fbf08e38ec9 | MATLAB | 1,624 | 51 | function labels = CBIG_RemoveIsolatedSurfaceComponents(avg_mesh, labels, abs_threshold)
% Remove isolated surface components.
%
% labels = CBIG_RemoveIsolatedSurfaceComponents(avg_mesh, labels, abs_threshold)
% Input:
% avg_mesh : average mesh read from CBIG_ReadNCAvgMesh.m
% labels : ... |
c07553fb5b3824387fcaa3218e0ff0591136322c2edf40a79d3a9be6f3458ceb | MATLAB | 1,625 | 65 | %% trfun2var
%
% Calculate coefficients from VAR transfer function
%
% <matlab:open('trfun2var.m') code>
%
%% Syntax
%
% [A,p] = trfun2var(H,p)
%
%% Arguments
%
% See also <mvgchelp.html#4 Common variable names and data structures>.
%
% _input_
%
% H VAR transfer function matrix
% p VAR mo... |
866afbfe146ce8a5ecc1e272970e63a5d8e1b583f52e552f3bac5770939a6d66 | MATLAB | 1,626 | 62 | % this function finds spikes in view
% called when sliders are moved in the find spikes popup
function findSpikesInView(self,Parameters,~)
arguments
self (1,1) crabsort
Parameters
~
end
if self.verbosity > 9
disp(mfilename)
end
if isempty(self.channel_to_work_with)
return
else
channel = self.channel_to... |
4541e84dcf72f210fce3f9a30272dbdc1425969fde5b7bbbe77989aeb236ceda | MATLAB | 1,627 | 62 | % Demo of factor analysis applied to some synthetic 2d binary data
% This file is from pmtk3.googlecode.com
setSeed(0);
D = 16;
K = 3;
proto = rand(D,K) < 0.5;
M = 50;
source = [1*ones(1,M) 2*ones(1,M) 3*ones(1,M)];
N = numel(source);
dataClean = zeros(N, D);
for n=1:N
src = source(n);
dataClean(n, :) = proto(:,... |
7425481d3c5cd77cd93a32fe1658cb3ad3dfdf7ff283c608020ace543d9a8172 | MATLAB | 1,627 | 58 | function [gx] = g_conv_approx(~,P,u,in)
gx = P(end); % constant as starting point
nt = round(size(u,1)./in.dim.nu);
% dgdx = [];
% persistent K;
% if size(K,1) ~= nt
% K = zeros(nt,nt);
% end
% dgdp = zeros(size(P,1),nt);
for i=1:in.dim.nu
Pi = P((i-1)*3+1:3*i);
kernel = kernel_sinexp(Pi(1),Pi(2),Pi... |
b275ca195964d59a18743af826c0b42d22e5da85e414e36b22b81b564744ee66 | MATLAB | 1,627 | 60 | % Slice sampling in 2d
% From http://www.mathworks.com/products/statistics/demos.html?file=/products/demos/shipping/stats/bayesdemo.html
%PMTKslow
requireStatsToolbox();
setSeed(0);
%% Setup
% Likelihood: binomial regression
% poor(i) ~ Binom(total(i), logit(theta1 + theta2*weight(i))
% A set of car weights
weight ... |
be8748d7c38a493abf5eeccce1b21b5f036a691651a52ed30f0c207aafc4c08a | MATLAB | 1,627 | 46 | function [imdsTrain, imdsTest, pxdsTrain, pxdsTest] = partitionCamVidData(imds,pxds)
% Partition data by randomly selecting 80% of the data for training. The
% rest is used for testing.
% Set initial random state for example reproducibility.
rng(0);
numFiles = numel(imds.Files);
shuffledIndices = randperm(numFiles);
... |
df300fd072e2e32f3d4c8e0323dc548e3b4d1c47e44ac67b14d5c2089ff7ca91 | MATLAB | 1,627 | 53 | %{
Copyright (c) 2025 Axion BioSystems, Inc.
Contact: support@axion-biosystems.com
All Rights Reserved
%}
classdef Spike_v1 < VoltageWaveform
%SPIKE_V1: An extension of Waveform that represents a spike recorded by
% spike detector in Axis.
%
% TriggerSampleOffset: Offset (in sampl... |
09d8f50d6683cf881edd08c22db52fd07f8ff437572e217f520a5c1f9b9e8b5e | MATLAB | 1,628 | 44 | function [fcost,u_sol,e_sol,F_err] = Spring2D_CE(k0,F,params,optims,condition)
if isequal(condition,'1')
k = Convert_k(k0,params);
elseif isequal(condition,'0')
k = k0;
end
D = params.C.'*diag(k)*params.C;
F([2*params.ind_fix-1,2*params.ind_fix]) = [];
D(:,[2*params... |
525af1277d68ff1ce846bc463d320c965188b23c9406b2746bf754bbb512b8f0 | MATLAB | 1,628 | 50 | function y = amexpo2s(N,t0,T);
%AMEXPO2S Generate bilateral exponential amplitude modulation.
% Y = AMEXPO2S(N,T0,T) generates a bilateral exponential
% amplitude modulation centered on a time T0, and with a
% spread proportional to T.
% This modulation is scaled such that Y(T0)=1.
%
% N : number of points.
% T0 : t... |
797aef71c0ed3ff2ce39dcd95598c95d626463fa644e1694f2d258f1e82f2964 | MATLAB | 1,628 | 47 | function info = GetGitMatlabStatus(source_repo_folder_path)
% Extract a bunch of git version info for the given source folder.
% Also get the Matlab version.
% This function reads the filesystem, but does not write to it.
% Get the matlab version
matlab_ver_string = version() ;
% Figur... |
2d3d2f6ff1b34cdbf289a35d4ff5ba7e9830f5708c9bcfe0b1d2385a1f79241d | MATLAB | 1,629 | 50 | function spkDat = ReclassifyWaves(spkDat, reclassDat, varargin)
origClust = arrayfun(@(x) x.id(1), reclassDat);
destClust = setdiff(unique(spkDat.id), 0);
errorCriterion = Inf;
for i = 1:2:length(varargin)
switch lower(varargin{i})
case 'origclust'
origClust = varargin{i+1};
case 'dest... |
39475407f696f01749ddc302cec267a8a6ff2e96900bf99db060dde0b4708955 | MATLAB | 1,629 | 73 | %% Sequential Updating of Sigma in 1d given fixed mean
%
%%
% This file is from pmtk3.googlecode.com
setSeed(1);
%% Prior
nu = 0.001;
S = 0.001;
prior.Sigma = S;
prior.dof = nu;
%% True model
%
mutrue = 5;
Ctrue = 10;
mtrue.mu = mutrue;
mtrue.Sigma = Ctrue;
%% Generate data
n = 500;
X = gaussSample(mtrue, n)... |
403fc1524e86a6881bcad5be4a0b3ffa566527f6b31f1ab14cd58578cde8981a | MATLAB | 1,629 | 61 | function J0 = computeJI(J1Vec,A,C0,psiSamp,N,numSamps)
if nargin < 6
numSamps = 100;
end
J0 = zeros(length(J1Vec),1);
for j1 = 1:length(J1Vec)
J1 = J1Vec(j1);
if length(psiSamp) <= 2*N
% find thetac corresponding to psiFP with JE = J1
thcinit = pi/2;
thc = zeros(size(psi... |
53c98073db9451aa01c7dacba61affe81be1197491e360b3807f63c58a6b2256 | MATLAB | 1,629 | 53 | % Name: Phone Kyaw
% Date: 09/19/2024
% Description: Return the XT header after stripping the XT data until
% the cut parameter and finding the header in the stripped
% data
% Parameters: xt_data - Cell data that is read from file
% cut - The number of first... |
b4d8486fde2a182bd34a48a1c91418a816ff4cf3bc0ff02f94eb53f9c4af348e | MATLAB | 1,629 | 53 | function [yhat, f] = svmPredict(model, Xtest)
% Return svm predictions.
% model is a struct as returned by svmFit()
% Xtest(i, :) is the ith case.
% f is the signed distance to separating hyperplane
% This file is from pmtk3.googlecode.com
if isfield(model, 'standardizeX') && model.standardizeX
Xtest = mkUnitV... |
4a12a0fe1733946e219252103ebc4a36fd59b6cb9e953a00aed08cff9d7d6e9e | MATLAB | 1,630 | 58 | function Aout = h_calcROIDistToFiducial3(handles)
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
siz = currentStruct.image.data.size;
fiducialObj = findobj(handles.imageAxes, 'Tag', 'fiducialPoint3');
ROIObj = findobj(handles.imageAxes, 'Tag', 'annotationROI3');
fiduci... |
ab3a127f7901742e334c79bf9781f6add3443147452eb7a3b99c8679a5fdd0a3 | MATLAB | 1,630 | 65 | %% Denoising an Image Using Gibbs Sampling
% Here we use an Ising Prior and a Gaussian likelihood.
%
%%
% This file is from pmtk3.googlecode.com
setSeed(4);
sigma = 1; % noise level
A = loadData('letterA');
y = A.AwithoutHole;
%load('imageWithBlackHole.mat') % defines y
%load('imageWithWhiteHole.mat') % defines y
... |
12dd4632e4691f2408ae1b475bca27debc5619f4ba6b291d33bffbaa898632cb | MATLAB | 1,631 | 44 | function s = ps2pdf(filename)
% PS2PDF Converts a PostScript file into Adobe PDF format.
% PS2PDF(FILENAME), where FILENAME is a PostScript file, will convert a
% .ps file to an Adobe .pdf file. Although Matlab supports directly
% printing to a PDF driver, the PS driver has added flexibility (e... |
45f741f8da0fa397d6d01187b1effa524408fb644bd9946850efc99352c6e56a | MATLAB | 1,632 | 41 | function C = conv2fft(varargin)
% C = conv2fft(A, B)
% C = conv2fft(H1, H2, A)
%
% C = CONV2FFT(A, B) performs the 2-D convolution of matrices A and B.
% If [ma,na] = size(A), [mb,nb] = size(B), and [mc,nc] = size(C), then
% mc = max([ma+mb-1,ma,mb]) and nc = max([na+nb-1,na,nb]).
%
% C = CONV2FFT(H1, H... |
76997c3877c57def64503b80dfe33cde7e54bb823f124869caa0f11712c6c13d | MATLAB | 1,632 | 50 |
function initPmtk3Octave()
more off
%% Initialize PMTK3 for Octave
w = which(mfilename());
if w(1) == '.' % for octave compatability
w = fullfile(pwd, w(3:end));
end
thisDir = fileparts(w);
cd(thisDir);
restoredefaultpath();
addpath(genpath(pwd));
% if ~exist('matlabToolsRoot', 'file')
% url = 'http://matlabto... |
cbfa00c72240d59a7999d0ce4bcf44c3c131cf1bf940829425ee883d08b25fdf | MATLAB | 1,632 | 42 | function [index_num, index_link, index_num_mask] = detectors_active_index(mesh)
% DETECTORS_ACTIVE_INDEX Calculates permutation vectors for mesh detectors.
%
% [INDEX_NUM, INDEX_LINK, INDEX_NUM_MASK] = DETECTORS_ACTIVE_INDEX(MESH) MESH
% is NIRFAST mesh structure.
% INDEX_NUM - n by 1 vector where n is the numbe... |
eef2edb74d7dd6102064e2acfd9dc73e5789453d14d1d9de0192a80a57a3b33c | MATLAB | 1,632 | 65 | function [B, lims] = rescale(A, lims, out_lims)
%RESCALE Linearly rescale values in an array
%
% Examples:
% B = rescale(A)
% B = rescale(A, lims)
% B = rescale(A, lims, out_lims)
% [B lims] = rescale(A)
%
% Linearly rescales values in an array, saturating values outside limits.
%
% IN:
% A - Input array of ... |
f5687fba4240fac1abeed9df694f1d0e1ab083ea253ed95c8ced243e7e05d792 | MATLAB | 1,632 | 68 | function [ey,ex]=energyop(sig,gr)
%% %calculates the energy operator of a signal
%% %input
%1. Raw signal (Vector)
%2. gr (Plot or not plot)
%% %Output
%Energy operator signal (ey)
%Teager operator (ex)
%% %Method
%The Teager Energy Operator is determined as
%(x(t)) = (dx/dt)^2+ x(t)(d^2x/dt^2) (1.1)
%in the cont... |
835145de6a2339070747f738dba890cb709129481aadbcf2849e14484dfa7fac | MATLAB | 1,633 | 32 | psthPara.binsize = 10; psthPara.binstep = 10; % ms
cwStr = ["push", "nopush" ];
if contains(protStr, "duration")
devStr = "devDur";
end
for cwIdx = 1 : length(cwStr)
switch cwStr(cwIdx)
case "push"
tIndex = [trialAll.(devStr)] == devType(2) & (([trialAll.stdNum] == stdType(sIndex) ... |
9afc25b86225e6a07c85b2a052d09d9bcb5daf7a734a8714329db60a8d94cc8a | MATLAB | 1,633 | 53 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% cuixuFindStructure
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function [onelinestructure, cellarraystructure] = cuixuFindStructure(mni, DB)
% function [onelinestructure, cellarraystru... |
a4f7866969b211a9036ca4bbbeff9cc3192618f54c8fa70410e246b3ddeb5fba | MATLAB | 1,633 | 70 | function [ w, loglik ] = linregSparseScadFitLLA( X, y, lambda, varargin )
% Fits a linear model with a SCAD penalty
% We assume lambda is a scalar
%PMTKauthor Hannes Bretschneider
% This file is from pmtk3.googlecode.com
[maxIter, convTol, alpha] = process_options(varargin, ...
'maxIter', 100, 'convTol', 1e-3, 'a... |
be890c7ae91a0073105c7691ee7e86091c8449cca8147d11b7b299f1f91ac722 | MATLAB | 1,633 | 102 | function [az1d2f,az2d2f,az1f2d,az2f2d] = compute_taskswitch(sessions,trials)
minperf=.65;
mintri=100;
minbe=0.65;
[hits,task,choice,gfreq,gdir,side,nta] = get_trials_stim(sessions,trials,minperf,mintri,minbe);
prevstart=5;
prevend=30;
lenprev=prevend-prevstart+1;
newend=30;
bz1=nan(1,lenprev+newend);
bz2=nan(1,len... |
f17e36d32118f7b0ca0c424e046c007e58fbf7bc6f7e8020effc6219798e39eb | MATLAB | 1,633 | 90 | %% Pareto Taxicab Example
%
%%
%pareto-pdf-1-2
%pareto-evidence
% This file is from pmtk3.googlecode.com
function paretoDemoTaxicab()
as = 0.1:0.01:5;
bs = [1, 1, 1, 0.001];
Ks = [2, 1, 0.1, 0.001];
%%
figure();
b=1;
K=2;
model.m = b;
model.K = K;
ps = exp(paretoLogprob(model, as));
plot(as, ps, 'linewidth', 3)
set(g... |
f18e3e5793c0eddf60119676204bffe60c109a129715e339cfe63f6129a5343e | MATLAB | 1,633 | 61 | %% Plot Some Wishart Distributions
% PMTKneedsStatsToolbox ksdensity
%%
% This file is from pmtk3.googlecode.com
requireStatsToolbox
setSeed(2);
S = [3.1653, -0.0262; -0.0262, 0.6477];
dofs = [20 3];
wiModel.Sigma = S;
nr = 3;
nc = 3;
nsamples = 9;
for i=1:length(dofs)
wiModel.dof = dofs(i);
M = wiModel.dof*w... |
281d66ffc58beff11123f484c17354b39ce866b2f8479d9a3e76d87019ecc350 | MATLAB | 1,634 | 59 | function IDXpred = clfKnnDist( D, IDX, k )
% k-nearest neighbor classifier based on a distance matrix D.
%
% k==1 is much faster than k>1. For k>1, ties are broken randomly.
%
% USAGE
% IDXpred = clfKnnDist( D, IDX, k )
%
% INPUTS
% D - MxN array of distances from M-TEST points to N-TRAIN points.
% IDX - ... |
a66543d29a32d801eba56ded80f48f2e93a5d5deb5c59f2046eb3bc734d1120b | MATLAB | 1,634 | 54 | function [im,header,timestamp,bb,mu] = mmf_read_frame(header,framei)
fp = header.fid;
% read from the current location if no frame input
if nargin < 2,
loc = ftell(fp);
framei = find(header.frame2file==loc,1);
if isempty(framei),
error('Could not find file location %d in frame index',loc);
end
else
fsee... |
ad3d57198118d5c1efd93dfce857a40b856df2fe374d5d4172c9b52bc325321e | MATLAB | 1,634 | 50 | function y = amtriang(N,t0,T);
%AMTRIANG Generate triangular amplitude modulation.
% Y = AMTRIANG(N,T0,T) generates a triangular amplitude modulation
% centered on a time T0, and with a spread proportional to T.
% This modulation is scaled such that Y(T0)=1.
%
% N : number of points.
% T0 : time center (default : N... |
dea6fdf2ada006444919d1553e636ffe12c831ce98f96419df0e5b1445e3115f | MATLAB | 1,634 | 52 | function b = copyfields(a, b, fields)
% COPYFIELDS copies a selection of the fields from one structure to another
%
% Use as
% b = copyfields(a, b, fields);
% which copies the specified fields over from structure a to structure b. Fields that
% are specified but not present will be silently ignored.
%
% See also KEE... |
0c52e8d9c4eacb288593eac5962accc1bb9de9bfd21e0bf559134156100942fb | MATLAB | 1,635 | 46 | Qmv = load('/localhome/kabram/Dropbox (HHMI)/MultiViewFlyLegTracking/multiview labeling/romainJun22NewLabels.lbl','-mat');
Qs1 = load('/localhome/kabram/Dropbox (HHMI)/MultiViewFlyLegTracking/older stuff/trackingApril28-14-53/track_date_2016_04_28_time_14_53_16.lbl','-mat');
Qs2 = load('/localhome/kabram/Dropbox (HHMI)... |
6bd1b6fdf3736eff784e53197c24f40dd39074b4bfb8aade8342006ac21ab4e9 | MATLAB | 1,635 | 59 | function [model, logev, postSummary] = logregFitBayes(X, y, varargin)
% Fit logistic regression using Bayesian inference
% X is n*d, y is d*1, can be 0/1 or -1/+1 or 1..C
% Do not add a column of 1s
%
% By default we use a N(0,(1/lambda) I) prior
%
% INPUTS:
% method: one of these
% - 'laplace' use Laplace approximatio... |
74fd8cff09b311ed3ae60003ac593cafa3fa44666c6d85d2c99a7022fd0a7955 | MATLAB | 1,635 | 52 | function [q, n_gradq_1, n_Gq_n] = find_one_fp(net, n_x_1, const_input, do_topo_map, tolq)
% Return the function q(x) = 1/2 |F(x)|^2 at n_x_1, where dx/dt = F(x)
% describes the (continuous) dynamics of RNN (note that time constant tau
% is absorbed in F). Also return its gradient and the Gauss Newton
% approximation to... |
b621bf6a625ca2b1fd742bb56b86bc926e3fa0e50d23b525bd17724fdc8a6bd3 | MATLAB | 1,635 | 57 | function [Aout,info,err] = h_genericOpenTif(filename, frame_numbers)
% [Aout,info] = h_genericOpenTif(filename, frame_numbers)
% h_genericOpenTif - Opens an Image file with TIF extension. It can retrieve
% only the frames specified by frame_numbers.
Aout=uint16([]);
header=[];
if ~(exist('frame_numbers')==... |
b982bffbf784520db6ff7273a929924b400f3e679d83ed2332f5c403355cab6c | MATLAB | 1,635 | 41 | function headmodel = ft_headmodel_asa(filename)
% FT_HEADMODEL_ASA reads a volume conduction model from an ASA *.vol
% file
%
% ASA is commercial software (http://www.ant-neuro.com) that supports
% among others the boundary element method (BEM) for EEG. This function
% allows you to read an EEG BEM volume conduction m... |
c2efc8325ca544fb1425022d905e80319ce86d6b9507c081ec9421cb9f82fe9d | MATLAB | 1,635 | 55 | function [header_size, version, f_height, f_width, bytes_per_chunk, ...
max_n_frames, data_format] = fmf_read_header( filename )
% [header_size,version,nr,nc,bytes_per_chunk,nframes,data_format] = fmf_read_header(filename)
%
% reads FlyMovieFormat header data from FILENAME
%
% HEADER_SIZE is in bytes for the ... |
09a56e27fc398e80855a5c06dee78edb065d87954c2c428fce62e67513780c8e | MATLAB | 1,636 | 60 | function y = kronmult(Amats,x,ii)
% Multiply matrix (.... A{3} kron A{2} kron A{1})(:,ii) by x
%
% y = kronmult(Amats,x,ii);
%
% INPUT
% Amats - cell array with matrices {A1, ..., An}
% x - matrix to multiply with kronecker matrix formed from Amats
% ii - binary vector indicating sparse locations of x ... |
0bf9d37fa6f9a08dbc6b225f5ecb7369dcaeadd6d08023edf754d41c021b70aa | MATLAB | 1,636 | 67 | % 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,... |
a4b53818b7b25adcf61c985560b81d05ad888ac3811bb9f003bce683f3835b59 | MATLAB | 1,636 | 50 | %% Load and trim ABF
cmPerPeak = 0.0039;
imagingCh = 1; %imaging channel in abf file
mvmCh = 3; %locomotion channel in abf file (old:4, current:2)
[imagingTrimmed, mvmTrimmed, fs_abf, si_abf] = loadMvm(Tracecellsdf,imagingCh,mvmCh,'traces');
if exist('fileName') == 0;
fileName = input('Type filename:','s');... |
018485ed38f892db6b1d217d799819a88887cb8a9e67a38fef00e05e5e29978c | MATLAB | 1,637 | 66 | % Redundancy reduction principle
% This demo performs BMC on two nested models, one of which is fully
% redundant. The data is then varied on a pre-defined grid, to assess the
% impact of the complexity penalty term as a function of the data.
clear variables
close all
dim1.n_phi = 1;
dim1.n_theta = 0;
dim1.n=0;
dim2... |
354fb5b17840a04cb4cef65396962b5826f384a1d14b214c57b967eb546358a3 | MATLAB | 1,637 | 70 | function mask=vessels_binary_sum(PET_sum, voxs_thresh,pixdim)
%extract vessels binary mask by processing Jerman filter output
%INPUT:
% PET_sum: sum of first PET frames
% lastframe: index of the latest volume to sum
% pixdim (optional): image voxel size
%OUTPUT:
% vessels mask
%Written by MDF, adapted from ES and A... |
b5ba341ae4a2940ab7c84a3b1b0fdebfb30109a9e3a68cadc55eb0013cb2c7f9 | MATLAB | 1,637 | 1 | % TSloadMEDPC Load a Gallistel lab MEDPC file onto the Experiment structure
% TSloadMEDPC(FILENAME) loads in the data from FILENAME into TSData. This
% code gets rid of the recurring headers and long strings of 0's that
% appear in the raw data files when the data grabber function reads the
% files that appea... |
0b753ee00e840efd418e82e9e913b49acf83fd930214fd4fc0936fc932f824f9 | MATLAB | 1,638 | 66 | function [H0,tfuse] = typicalImHist(I,varargin)
% Compute typical imhist of set of images
%
% I: [N] cell array of identically-sized images
%
% H0: [nbin] 'typical' imhist for I.
% tfuse: [N] logical indicating whether each image in I was used in
% computing H
[nbin,wbObj,incPrctile] = myparse(varargin,...
'nbin'... |
1069e2f064e57b4416210fc812da94676b2465c4bf44602452aefcbcd6deb4e1 | MATLAB | 1,639 | 70 | function [q_radius_ratio,q_area_ratio,area,zeroflag,...
edges,edgeflag]=checkmesh3d_surface(e,p,nodemap)
% Checks the integrity of a surface mesh by running following diagnosis:
% 'type' =
% 0- all
% 1- area of each patch
% 2- face connectivity
% 3- edge connectivity
% 4- quality of each surface patch
e=e(:,1:3);
... |
85559bc1e52163e6a77cfbe728fa2477d85378a41cff2ae55943b7afafc230d5 | MATLAB | 1,639 | 50 | %% Simulate tissue damage
function [z, x] = SimulateTissueDamage(u, A, B, params)
% Simulate 1-dimensional value of tissue damage for time points i = 1,...,n
% as a linear dynamical system x(i) = A*x(i-1) + B*u(i)', where u is
% m-dimensional control input.
% Simulate sensory feedback as z(i) ~ N(x(i), R)
% ==== In... |
9ba6ac0dc60fe3baf020f279562d1b81323c5e4173da4c5a8bd7f26d0ebec474 | MATLAB | 1,639 | 46 | function out = xpathText(node, path)
% XPATHTEXT Shorthand for loading text from node in xml file
%
% xpathText(node, path)
%
% if path doesn't exist, return empty string
%---------------------------------------------------------------------
% license
%-----------------------------... |
9d09ca1a730e1d9e619b5480fa2ac934444e0d9e521c2240dbcae89ab328ef18 | MATLAB | 1,639 | 63 | function [numt0marker] = plotTriggers( dataset, t0marker , varargin )
%PLOTTRIGGERS Plot all the triggers in the file over time
p = inputParser;
addParameter(p, 'showFigure', true);
addParameter(p, 'savePath', []);
addParameter(p, 'xUnits', 'samples', @(x) any(strcmp(x, {'samples', 'sec', 'msec'})));
parse(p, varargin... |
d86578783f5189309326243ebdf93bfac662fcea74e71e98760c5955b1bf099d | MATLAB | 1,639 | 46 | function [aROC, falseAlarmRate, detectionRate] = rocLabelMe(confidence, testClass, col)
% You pass the scores and the classes, and the function returns the false
% alarm rate and the detection rate for different points across the ROC.
%
% [faR, dR] = plotROC(score, class)
%
% it generates 150 points.
% faR (false ala... |
eeebef75bd7a0fbc59da476db11ef7722f9d866590c78918250a136d1fd043e3 | MATLAB | 1,639 | 65 | % This is small script that demonstrate the computation of extrinsic
% parameters using 3D structures.
% This test was build from data provided by Daniel Small (thank you Daniel!)
%-- Image points (in pixels):
x = [479.5200 236.0800
608.4100 415.3700
461.0000 40.0000
451.4800 308.7000
373.9900 314.890... |
a51997bc3971cafbc6afedebd2c90df5de2e4a1e96fa73ea581932e73fcf474c | MATLAB | 1,640 | 67 | %% initialize
% Create a set of stacked position traces.
% if true, will not offset positions based on a fly's starting point
preserveOrigin = false;
% size of the arena
bounds = 8;
%% open files
% This file opens a set of position traces and stacks and plots them on the
% same set of coordinates.
inputFiles = uip... |
40a2b802c0c39834addc27373902c22f2379aa0c81355f40c37862d4205f9e7b | MATLAB | 1,641 | 45 | function F=backwards2forwards(B)
% This function will turn a backward transformation field in to a
% forward transformation field, using gaussian kernel splatting.
%
% Thus when you have transformed image1 into image2 with the Rueckert
% Registration, this function can reverse the vectorField allowing the
% tran... |
25007e5b4ba2e1d957d8cfab6945376aa39e55318f6d551d5e0ee16439d8e273 | MATLAB | 1,642 | 63 | % _ _
% ___ _ __ __ _| |__ ___ ___ _ __| |_
% / __| '__/ _` | '_ \/ __|/ _ \| '__| __|
% | (__| | | (_| | |_) \__ \ (_) | | | |_
% \___|_| \__,_|_.__/|___/\___/|_| \__|
%
% saves data in a .crabsort file
function saveData(self)
% early escape
if isempty(self.time) ... |
27e6e22f97d4d0d0abfc5eb968d9366e47ec67d7d667b3f9833fbf09c91f8596 | MATLAB | 1,642 | 44 | function TSFC_BGFC(stat_path,exp_folder,N)
% ========================================================================
% Ruslan Masharipov, October, 2023
% email: ruslan.s.masharipov@gmail.com
% ========================================================================
tic
for subji = 1:N
load([stat_path filesep exp... |
3dbcf9d126ba7a6bfe5fa6e91f6230896880a594cdcd1baa8f0856fd712b4426 | MATLAB | 1,642 | 53 | function Psth = calPsth(data,binpara,scaleFactor,varargin)
EDGEMISMATCH = false;
NTRIAL = 1;
for i = 1:2:length(varargin)
eval([ upper(varargin{i}) '=varargin{i+1};']);
end
binsize = binpara.binsize;
binstep = binpara.binstep;
if ~isempty(data) & max(data)>binsize
if ~(exist('EDGE') == 1) %if WIN is a va... |
7548ea06687890e977b8a34bb75990c68e83396da930b792023cc585483f472a | MATLAB | 1,642 | 57 | load('E:\2022-09-22_Grids-Imaging\FOV1-225um\imaging\CaimanPipeline.mat')
%load this tiff if you want to check cell location
% maxtiff = imread('E:\2022-09-22_Grids-Imaging\FOV1-225um\imaging\MAX_2022-09-22_FOV1-225um.tif');
%load this to overlay with grid location
maxtiff = imread('E:\2022-09-22_Grids-Imaging\FOV1... |
a3506644a1a159fa05720fda70150f2e3ffb562d2484d3ea49b46a887874dd88 | MATLAB | 1,643 | 60 | function FbVisualize( FB, show )
% Used to visualize a series of 1D/2D/3D filters.
%
% For 1D and 2D filterabnks also shows the Fourier spectra of the filters.
%
% USAGE
% FbVisualize( FB, [show] )
%
% INPUTS
% FB - filter bank to visualize (either 2D, 3D, or 4D array)
% show - [1] figure to use for display... |
a776aaabf25c7ef0fc01c90e0109b2d37479162ecd1745aa8dc930bf1a6fe758 | MATLAB | 1,643 | 42 | function batch_split_dat(metadata_path)
% pulls path and port info from metata csv and runs split_dat.m
%
% input:
% metadata_csv_path: excel file with column variables:
% data_path: path to intan data to split
% save_path_A: project folder where data should be saved for port A
% save_path_B: proje... |
c420793e35745fd172b9630eef41fa586be1340de58a0c9d555b1d18f6110a7b | MATLAB | 1,643 | 35 | function formatted_act = CBIG_AuthorTopicEM_ConvertActToEMFormat(act)
% formatted_act = CBIG_AuthorTopicEM_ConvertActToEMFormat(act)
%
% Convert activation data to input format required for the
% Expectation-Maximization (EM) algorithm
%
% Input:
% - act = activation foci across experiments
% Output:
% - formatted_... |
f1c9bcad8eeb53d6c50a35bfb825267cb3bafe8b13b64d2d226c99db7b87b6cc | MATLAB | 1,643 | 39 | AgeSource = round(40 + betarnd(3,2,[400,1]) * 40);
AgeTarget = round(40 + betarnd(2,3,[300,1]) * 40);
SexSource = binornd(1,0.2,400,1);
SexTarget = binornd(1,0.8,300,1);
mu1 = [100, 400, 500, 600];
Sigma1 = 0.8 * eye(4) + 0.2 * ones(4);
mu2 = [30, 40, 50, 60];
Sigma2 = 0.6 * eye(4) + 0.4 * ones(4);
Xsource = AgeSour... |
90296f0e432f586cedc974f612d94b53041fa233dd832d2d6ea1d54e8f67423d | MATLAB | 1,644 | 54 | %% Script for processing all tomograms in a directory with membflt
% Author: Antonio Martinez-Sanchez
%% Clear workspace
close all
clear all
%% Input/Output directories
din = '~/Desktop/test/in';
dout = '~/Desktop/test/out_s7_t2';
%% Input parameters
s = 7; % Scale factor
t = 2; % Membrane thickness factor
v = 1; ... |
10e95f00ec0e55b8d1d7b1ff439404bc0408e804f741c67c63261d705fddbe42 | MATLAB | 1,645 | 34 | % SOFA API - demo script
% Copyright (C) 2012-2013 Acoustics Research Institute - Austrian Academy of Sciences
% Licensed under the EUPL, Version 1.1 or – as soon they will be approved by the European Commission - subsequent versions of the EUPL (the "License")
% You may not use this work except in compliance with the ... |
cc7d621ccc44b531cac65375dc2380600fdce19a8ed133999f07862a5886f827 | MATLAB | 1,645 | 64 | function C = global_analysis( M, tv, c, v )
% GLOBAL_ANALYSIS Perform a simple global analysis for tomogram segmentation, firstly binarizes
% and secondly labels tomogram structures according to their size
%
% INPUT:
% M - Input tomogram
% tv - Binarization threshold
% c - Voxel c... |
da8ea4ce21d6e51f9ab989c90755211c6a8fc90af81563315aeb0c55969133fb | MATLAB | 1,645 | 55 | %% Posterior over 5-node DAGs on Sewell-Shah college data
% Iterate through all 5 node DAG and calculate the marginal likelihood to
% determine the most likely strucutre to explain the college data.
%%
% This file is from pmtk3.googlecode.com
loadData('sewellShah');
X = X(:,2:end) + 1;
[N, D] = size(X);
ns = [2 4 2 ... |
0c93da5e879bbb3a4741bdf4735b7e361e362ceafe3678432838778f400c3831 | MATLAB | 1,646 | 40 | function [vol] = yokogawa2vol(hdr)
% YOKOGAWA2VOL converts a spherical volume conductor model that can
% be present in the header of a datafile into a structure that can
% be used by FieldTrip.
% Copyright (C) 2005, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the do... |
a27c365c73194a95bc01cf105cfdd7d40abc94fa32417f1f68e7c99110b14e2c | MATLAB | 1,646 | 52 | function [xsR,ysR] = tpsInterpolate( warp, xs, ys, show )
% Apply warp (obtained by tpsGetWarp) to a set of new points.
%
% USAGE
% [xsR,ysR] = tpsInterpolate( warp, xs, ys, [show] )
%
% INPUTS
% warp - [see tpsGetWarp] bookstein warping parameters
% xs, ys - points to apply warp to
% show - [1] will disp... |
b4297912da8fced92be376957475c58c74d178004e9885034a4f3d26950cdae7 | MATLAB | 1,646 | 57 | function [sloc] = genLocsSA(slbl,tblsplit,varargin)
% Locs for Single animal. Use images in the lbl cache for now.
% mov is empty for now. Seemed too convoluted to include it for now.
% MK 07022022
imgpat = myparse(varargin,...
'imgpat','im/%s.png' ...
);
nrows=size(slbl.preProcData_I,1);
sloc = [];
ro... |
d6d20493339d1735df5dfbf69d8aca76b5802fe5452f314d3c2976cfaecceb44 | MATLAB | 1,646 | 68 | %% Normal Gamma Distribution Plot
%
%%
% This file is from pmtk3.googlecode.com
function normalGammaPlotDemo()
xs = -1:0.01:1;
%deltas = [1 1 0.1, 0.1];
%cs = [1 0.1 1 0.1];
deltas = [0.01 0.75 1, 2];
cs = ones(1,4);
[styles, colors, symbols, str] = plotColors;
str = {};
if 1
f1=figure; hold on
for i=1:leng... |
44850d7581a22ae6c838f847bfc0e55a7bb8eef1a8481c95dc1333d4c399647d | MATLAB | 1,647 | 40 | function b = multitransp(a, dim)
% Transposing arrays of matrices.
%
% B = MULTITRANSP(A) is equivalent to B = MULTITRANSP(A, DIM), where
% DIM = 1.
%
% B = MULTITRANSP(A, DIM) is equivalent to
% B = PERMUTE(A, [1:DIM-1, DIM+1, DIM, DIM+2:NDIMS(A)]), where A is an
% array containing N P-by-Q mat... |
9842a1c3419fe42a64c1f55a6f84c13f3eaab2d102ea46e3cbd2ff9237b534fc | MATLAB | 1,647 | 66 | function [ks,oks,okstype,hfig] = ComputeOKS(data,kappa,varargin)
hfig = [];
[distname,pttypes,doplot] = myparse(varargin,'distname','gamma2','pttypes',{},'doplot',false);
[n,npts,~] = size(data.labels);
if isempty(pttypes),
pttypes = cell(npts,2);
for i = 1:npts,
pttypes{i,1} = num2str(i);
pttypes{i,2} = ... |
b072260585a16ad0601c02fb525331897f3c503b6d164911dd0057bf6c989c74 | MATLAB | 1,647 | 32 | psthPara.binsize = 10; psthPara.binstep = 10; % ms
if contains(protStr, "Sound reward")
devStr = "Type";
end
tIndex = matches({trialAll.(devStr)}, devType(dIndex));
trials = trialAll(tIndex);
trialsSPK = trialsSpike(tIndex);
% spike
spkReward(dIndex).devType = devType(dIndex);
spkReward(dIndex).trials ... |
ce16812df8c4068f20c79e60a16b8a4b4909714736c2c3eb7220e0802f0dea31 | MATLAB | 1,647 | 78 | %% help
web('https://bitbucket.org/marcelostockle/lan-toolbox/wiki/edit/Creating%20a%20LAN%20variable', '-browser')
%% make LAN manually
LAN = [];
LAN.srate = 1000; % Sampling rate.
LAN.data{1} = data1; % data1 is a matrix of sampled data in rows.
LAN = lan_check(LAN);
lan_fill_gui(LAN);
%% make LAN from a .csv file... |
e291890513fb68f6aac4ee3437cb47b4e95f002439d58d08bebcb89fce006f8a | MATLAB | 1,647 | 42 | %% This file creates the trace weighted nii file for all data.
%% transfer nii to trace nii data
PATH = pwd;
subjects = {'sub_001'};%, 'sub_003', 'sub_004', 'sub_005', 'sub_006', 'sub_007', 'sub_001_rescan', 'sub_003_rescan', 'sub_004_rescan', 'sub_005_rescan', 'sub_006_rescan', 'sub_007_rescan'};
for ii = 1:... |
408617403a39dba97fb63df8c16d95012666daea301fb30ee910fb9d529c6e4b | MATLAB | 1,648 | 49 | function [modelParam, simParam, resultsStruct, PFresultsStruct, varargout] = loadResults(decodeName)
% [modelParam, simParam, resultsStruct, PFresultsStruct, preplayGridSpikes, pfGridspikes] = grid.loadResults(decodeName)
%
% Returns preplay spikes as optional 5th output
% Returns place field spikes as optional 6th out... |
6098ca84cb1b38be5eb2c56b87149b76f7bc2637b5da3225cd92e2639b1d0baf | MATLAB | 1,648 | 50 | % CreateStrings.m
% Sarah West
% 2/25/22
% Takes an input cell array of character strings, and inputs any variable
% to any keyword. Outputs a string.
% Input:
% string_format_cell--cell array. Establish the format of the file names of compressed data. Each piece
% needs to be a separate entry in a cell array.
% ke... |
7d53b8a55c531579049b0e2789be3cfdc1eb19a9be2687c79ecc2c47f7f2551e | MATLAB | 1,648 | 40 | function [suffStat] = VBA_getSuffStat(options,suffStat,flag)
% fills in default sufficient statistics structure
% function [suffStat] = VBA_getSuffStat(options,suffStat,flag)
% IN:
% - options: the options structure (only the substructure .dim is used here)
% - suffStat: {[]}
% - flag: {0}, 1 if online version
i... |
8a8984663922478e3f7a2c05591b787a993a5e26343298dbd7532adcc78a7312 | MATLAB | 1,648 | 53 | function lme_lowessPlot(time,y,bw,group)
% lme_lowessPlot(time,y,bw,group)
%
% Time plot of the lowess regression curve estimating the trend in the
% mean response over time (Depends on the curve fitting toolbox).
%
% Input
% time: Time covariate (ordered according to time for each subject) .
% y: Ordered data vector (... |
f3d45428c590b256e38dfe88a804cbb481c21b603fc7752b322ab1ff6c0a3a80 | MATLAB | 1,648 | 64 | function C = global_analysis( M, tv, c, v )
% GLOBAL_ANALYSIS Perform a simple global analysis for tomogram segmentation, firstly binarizes
% and secondly labels tomogram structures according to their size
%
% INPUT:
% M - Input tomogram
% tv - Binarization threshold
% c - Voxel c... |
f8fa70bc0b3e5c8009acd1a3e7c81dc33fa3f4fce620d9689285a283ef2213b1 | MATLAB | 1,648 | 66 | function wlPlot_plotExtractedParams(cfg, times, wave, env, freq, phase, ...
figtitle, filelabel)
% function wlPlot_plotExtractedParams(cfg, times, wave, env, freq, phase, ...
% figtitle, filelabel)
%
% This function plots a time-series waveform, its envelope, its instantaneous
% frequency, and its instantaneous ph... |
10a522878b1d6bd26f3b1aee4fa9e30386806fea8011b9cdaaf18ac63bf73744 | MATLAB | 1,649 | 63 | function res = grs2rgb2(img, map)
%Zach edited version of grs2rgb to fix color size issues with large images
%grs2rgb2 ONLY MAKES SINGLE PRECISION COLOR MAP
%%Convert grayscale images to RGB using specified colormap.
% IMG is the grayscale image. Must be specified as a name of the image
% including the directory, or ... |
8d4af7309fe74e72a5f57f5222bfb0cd9b8fe54a7edf822c804199109a6772a3 | MATLAB | 1,649 | 62 | function [returnVar,msg] = RemoveDCfromDat(fname,nbChan)
% USAGE:
% RemoveDCfromDat(fbasename,nbChan)
% This function removes DC from dat files by computing the average of
% the first 1e6 samples (or less if file is smaller)
% INPUTS:
% fname: dat file name
% nbChan: total number of channels in dat... |
b819897c21e8c6bb0d697c640ad5b0218bf3150c00d51b0333f28ecb9c97d94f | MATLAB | 1,649 | 79 | function Y = symmetrize(X)
%SYMMETRIZE Symmetrize a ktensor X in all modes.
%
% Y = symmetrize(X) will symmetrize a ktensor X with respect to all
% modes so that Y is symmetric with respect to any permutation of
% indices.
%
% See also ISSYMMETRIC, SYMKTENSOR.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia C... |
bdb9cfce4ff1a606b82dd56952164c87242a18d9caa05386c75ce47b1d99de12 | MATLAB | 1,649 | 43 | %% SAT - app_input::
%% helper.returnFilesFromDirectory
% Name: Phone Kyaw
% Date: 09/19/2024
% Description: Extract all the files inside a directory
% Parameters: None
% Return Value: files - Nx1 cell containing all the files' path inside the
% directory user selected
%_____... |
92facc7b64c1f5639eec0e7d3a7950f90a266eac2def0a09ad81daf316e05531 | MATLAB | 1,651 | 75 | function [eps] = Dmin_2D_opt_qst(a0,a1)
%calculates local strain in an amorphous system.
% INPUT :
% a0 - (x,y) coordinates at time t0. a1 - at later time.
N = size(a0,1); % number of particles
%disp(N)
NNacceptance = 1.2; %5.0 % first minimum of g(r)
NNsq = NNacceptance*NNacceptance;
min = 0... |
f316eab0b87ba7fbd6ecff7d7d7ad21e343c9c80173aac9297407935c382267a | MATLAB | 1,651 | 55 |
function [msg, prevNodes] = treeMsgOrder(adj, root)
%treeMsgOrder Find message scheduling for inference on a tree.
% Determines a sequence of message updates by which BP produces optimal
% smoothed estimates on a tree-structured undirected graph.
%
% msg = treeMsgOrder(adj, root)
%
% PARAMETERS:
% adj = a... |
4748b15dc18654befc960bde41fcb6538a864d115debe52ae0ad84a89db9c820 | MATLAB | 1,652 | 48 | function [a,b] = find_ab_params(spread, min_dist)
%FIND_AB_PARAMS Fit a and b parameters for the differentiable curve used in
% lower dimensional fuzzy simplicial complex construction. We want the
% smooth curve (from a pre-defined family with simple gradient) that best
% matches an offset exponential decay.
%
% [a,b] ... |
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