sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
21c575c8c8db71eb37691185ffcfc1920cb70fbf60395d72cc38e916576aaa0b | MATLAB | 2,258 | 70 | function ProcessData_Figure1(BestFitEarly, codedir, savedir)
%ProcessData_Figure1 - function to process data to generate Figure 1. Saves
% data in savedir to be accessed by PlotFigure1
% INPUTS:
% BestFitEarly - BestFit.mat file found at: Mah_CellReports_BehavorialData/FitAll_ITI_VanillaAlpha_First10/BestFit.mat
% fr... |
65b824896f873ef7497c86ad4687ef595b27af99538ae2dc11d3c1258ef1d9f7 | MATLAB | 2,258 | 59 | % SUBSASGN - define index assignment for eegdata objects
%
% Author: Arnaud Delorme, SCCN, INC, UCSD, Nov. 2008
% Copyright (C) 2008 Arnaud Delorme, SCCN, INC, UCSD
%
% This file is part of EEGLAB, see http://www.eeglab.org
% for the documentation and details.
%
% Redistribution and use in source and binary forms, wit... |
c8472e96f2324c4529495f7fef62e0ccfe24bcd412a2d5c50e46d9d8571cc722 | MATLAB | 2,259 | 76 | function Ptrial = prob_den(rr,cc,AMean,Astd,x0Mean,x0Std,nMean,nStd,noiseStd)
M = size(rr,3);
%probabilities for generating latent variables x0, n given normal
%distributions for x0, n
Px0 = @(x0) 1./sqrt(2 * pi * x0Std.^2) * exp(-1/2*(x0 - x0Mean).^2/x0Std^2);
Pn = @(n) 1./sqrt(2 * pi * nStd.^2) * exp(-1/2*(n - ... |
482c64ae277def9600cf93cf62cb0e6a7a3a05364475b1f2c4a6caff17092574 | MATLAB | 2,260 | 42 | % STD_READERPIMAGE - load ERPimage measures for data channels or
% for all components of a specified cluster.
% Usage:
% >> [STUDY, erpimagedata, times, trials, events] = std_readerpimage(STUDY, ALLEEG, varargin);
%
% Note: this function is a helper function that contains a call to the
% std_... |
9f94c442e0c0cb002041769c79cd6d84bcfcf9bc3d8d32fd6a0e816db6d38536 | MATLAB | 2,260 | 64 | % PARSETXT - parse text input into cell array
%
% Usage: >> cellarray = parsetxt( txt, delims );
%
% Inputs:
% txt - input text
% delims - optional char array of delimiters (default: [' ' ',' 9]);
%
% Note: commas, and simple quotes are ignored
%
% Author: Arnaud Delorme, CNL / Salk Institute, 18 April 2002
... |
f164a24cb388b20c7c0068f82734e41cb6aae0d77b3607b2e15f1702f6dc1dcf | MATLAB | 2,260 | 53 | % EEG_GETVERSION - obtain EEGLAB version number (version is embedded in
% the script, edit the function to see the version).
%
% Usage:
% >> vers = eeg_getversion;
% >> [vers vnum] = eeg_getversion;
%
% Outputs:
% vers = [string] EEGLAB version number
% vnum = [float] numerical value fo... |
7137808f388a775d3103dda6edcccdd65f4e338a3fdbf0160d991f4ecf3b8a05 | MATLAB | 2,261 | 59 | %{
preprocess.ScanCoordinates (imported) # mask center of mass of a segmented cell
-> preprocess.ExtractRawGalvoSegmentation
-----
xpos : double # x motor location in micro meters
ypos : double # y motor location in micro meters
zpos : double # z motor location in micro... |
a42866afbb6392a63625b685d84d85cd46d5cb4736fc06aac7353b8fccef88aa | MATLAB | 2,261 | 37 | % Safe computation of logphi(z) = log(normcdf(z)) and its derivatives
% dlogphi(z) = normpdf(x)/normcdf(x).
% The function is based on index 5725 in Hart et al. and gsl_sf_log_erfc_e.
%
% Copyright (c) by Carl Edward Rasmussen and Hannes Nickisch, 2013-11-13.
function [lp,dlp,d2lp,d3lp] = logphi(z)
... |
08e881343b0738bec76595683e6ec3cfc782808a997da15d5f9974f597a8d7b1 | MATLAB | 2,263 | 66 | function density_results_table(OUT)
% density_results_table(OUT)
%
% prints table of results for density_pdf or density_diff_pdf
% Tor Wager
fprintf(1,'Density results for %s\n',OUT.fname)
fprintf(1,'Brain mask file: %s with %3.2f x %3.2f x %3.2f mm voxels',OUT.mask_file,OUT.voxsize(1),OUT.voxsize(2),OUT.voxsize... |
1f2dc053b645d9a708d7310453a7a82e2762fa2ea27d0758693751fc1e95de14 | MATLAB | 2,263 | 92 | function Test_MN()
% function test15()
% Test for fixedrankMNquotientfactory geometry (low rank approximation)
%
% Paper link: http://arxiv.org/abs/1209.0068
%
% This file is part of Manopt: www.manopt.org.
% Original author: Bamdev Mishra, July 11, 2013.
% Contributors:
% Change log:
clear all; close all; clc;
% ... |
6920ed3f39b223fea4970be1b3a1bb83005b323274fbcc503a42a3b833a595d9 | MATLAB | 2,263 | 73 | function T = spm_type(x, arg)
% translates data type specifiers between SPM & Matlab representations
% FORMAT T = spm_type(x, arg)
% x - specifier
% T - type
% arg - optional string argument, can be
% - 'maxval' - return maximum allowed value.
% - 'minval' - return minimum allowed value.
% - 'nanrep' - ret... |
97751c7d31c65c95ace9cfbf00fc9a747ddef7c8b15e250e8af51c7651259b17 | MATLAB | 2,263 | 66 | function [Aerr, werr]=ARFIT_arconf(A, C, w, th)
%ARCONF Confidence intervals for AR coefficients.
%
% For an AR(p) model that has been fitted with ARFIT,
% [Aerr,werr]=ARCONF(A,C,w,th) computes the margins of error Aerr and
% werr such that (A +/- Aerr) and (w +/- werr) are approximate 95%
% confidence intervals fo... |
9e6d85902a999b04bc6b1e77f0b13aeaaa21f8d67d100a1852b0563767dd685f | MATLAB | 2,263 | 85 | %
% nets_spectra - calculate and display spectrum for each node, averaged across subjects
% Steve Smith and Ludo Griffanti, 2013-2014
%
% [ts_spectra] = nets_spectra(ts);
% [ts_spectra] = nets_spectra(ts,node_list);
% [ts_spectra] = nets_spectra(ts,node_list,tailnorm);
%
% node_list is optional, and is a vector list... |
1291ae90684ddd6eb43e773a378922048def527a7ea86faf976aa00ffdad5e99 | MATLAB | 2,264 | 83 | function [b, tau, er] =...
regress_latency_vs_rew(A, nback, plotarg, z_arg, varargin)
%regress latency to cpoke against rewards, a la Wang/Uchida 2013.
%also fits exponential. cmc 12/2/20
%inputs: A struct. If you give it the S struct, will convert it to A struct.
%nback specifies number of previous trials to regre... |
547c29c9f3f96a721bbfb1c0f076a0cc3156d0ce748dfdab866a9867df04e06c | MATLAB | 2,264 | 58 | function fieldtrip2spss(filename, labels, data)
% FIELDTRIP2SPSS compiles data and correpsonding labels into a textfile,
% suitable for importing into SPSS or JASP (jasp-stats.org).
%
% Use as
% fieldtrip2spss(filename, labels, data)
%
% When exporting from MATLAB, set:
% - filename; should be string (e.g. 'counts... |
60e7aa234dd542c8ab8ea61eb8d35fca09a1e9d3798318aa01d533babc315c26 | MATLAB | 2,264 | 72 | % eeg_writechanfile - write channels.tsv from single EEG dataset. The
% function also outputs channels count
%
% Usage:
% channelsCount = eeg_writechanfile(EEG, fileOut)
%
%
%
% Inputs:
% 'EEG' - [struct] the EEG structure
%
% 'fileOut' - [string] filepath of the desired output locati... |
140a8d1003471004e712f95f083df9b2779433545b2a216486687390b2fc7148 | MATLAB | 2,265 | 93 | function [xdata,ydata,tx,ty] = embed_data(x,y,parm)
% Delay or Integral-delay embedding for input-output prediction
% [xdata,ydata,tx,ty] = embed_data(x, y, parm)
% [xdata,dumy, tx ] = embed_data(x, [], parm)
% --- Input
% x : Input data : Xdim x Tsample x Ntrial
% y : Output data : Ydim x Tsample x Ntrial
... |
659e5567b4fcbebf40420973e004e64c06f5b0ffb9530958ac9dfc34e221c9cc | MATLAB | 2,266 | 61 | % Deal with merging fMRI data from partial sessions.
cd /home/surly-raid1/kendrick-data/nsd/ppdata/NSD929-nsd02/ % DATE CENSORED
%%%%% preprocessVER1SECONDSTAGE
a1 = load_untouch_nii('preprocessVER1SECONDSTAGE/run04.nii');
a2 = load_untouch_nii('preprocessVER1SECONDSTAGE/run05.nii');
% 50 trials from run04a; ignor... |
82829911e693dcd9d9650f63737213e1217465fa4893a410d881f5ded92adb53 | MATLAB | 2,266 | 60 | %{
preprocess.SpikesRateTrace (computed) # Inferred spikes
-> preprocess.Spikes
-> preprocess.ComputeTracesTrace
---
rate_trace=null : longblob # leave null if same as ExtractRaw.Trace
%}
classdef SpikesRateTrace < dj.Relvar
methods
function makeTuples(self, ... |
f57870d00ac71ac555e7397743f4ec640048cea61049ba8e3c050e1fbc9e0083 | MATLAB | 2,267 | 67 | function [params, ellapsed, difference, abort] = wait2_escapeOption( timeout, params ,flushevents)
%WAIT2_ESCAPEOPTION waits for a specified duration checkes at
% the same time if the abort (ESCAPE) key was pressed
%
% Syntax: WAIT2_ESCAPEOPTION(timeout, params);
% Syntax: WAIT2_ESCAPEOPTION(timeout, params, flush... |
278816256d19ad6ecebdd8909e9d85cbee472abedbc4a30ff58db01bfdca0f5a | MATLAB | 2,269 | 91 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Unit tests for causal emergence functions. Can be run from the repository's
% root folder with runtests('tests/').
%
% Note: these tests are stochastic, so if any of them fails try running them
% again :]
%
% Pedro Mediano and Fernando Rosas, Aug 2020
%
%%%%%%%%%%%%%%%%%%... |
6092af9016f3d94d0c249d28a9748d84b03712fa5e9ecfc6054b5b14b5dbb6b1 | MATLAB | 2,269 | 82 | %% overview
% this script will generate the figure used in the NSD data paper of
% adjusted hit rate as a function of lag between repetitions.
%
% jbh 2/22/21
%% load in data
% for 10 day bins
[day_ahr, day_binvals, day_subj] = get_allsubs_adj_hr('10day',true);
% for log seconds
[logsec_ahr, logsec_bi... |
6ce62e090d806a530bedf74e28daebd2dabfe672900a24dfec16f7a1d1457cc8 | MATLAB | 2,269 | 51 | function osp_check_distrOv_Call(src,~,gui)
%% osp_check_distrOv_Call
% This function is triggered when Grand Mean is checked for the raincloud
% plots
%
%
% USAGE:
% osp_check_distrOv_Call(src,~,gui);
%
% INPUT: src = handle of the fit tabs
% gui = gui class containing all handles and... |
0fdbd210249bf2eb8b011ed26146e776b43fe10c29716904e94ed8c3d9035b26 | MATLAB | 2,270 | 55 | %% AnalyzeFineDistanceData
basePath = 'D:\Data\Lobster\FineDistanceResult_syncFixed_first_half';
behavDataPath = 'D:\Data\Lobster\BehaviorData';
filelist = dir(basePath);
sessionPaths = regexp({filelist.name},'^#\S*.mat','match');
sessionPaths = sessionPaths(~cellfun('isempty',sessionPaths));
load("Apparatus.mat");
... |
cffada820bb77efdfaf59e948d8ab7526bb42beae5c6f8fddb37d8ff098e83c8 | MATLAB | 2,270 | 65 | % IMAGESCTC - DEPRECATED. never completed or documented.
% IMAGESCTC - imagesc in true color. Can help plot different
% colormap on the same window.
%
% Usage: same as imagesctc
%
% Example:
% figure;
% colormap(jet);
% subplot(1,2,1); imagesctc(rand(10,10));
% colormap(g... |
8a58aa8ec9c0229388b573bfae4dd7381413ce9847f49d9df5ca0e6e000b7365 | MATLAB | 2,271 | 76 | function x = ML_ckfilter(y, K, M, p)
% Implements the Chung-Kennedy sliding window nonlinear step filter. This
% filter is similar to a centred moving average filter of length K, but the
% centre sample in the window is replaced by a weighted sum of forward and
% backward moving average filters. The weights are inverse... |
052a5a7eb05e4b5e2fbbbfd0453f6b63d2e41190657722e6dd5ecc9c121ec50e | MATLAB | 2,272 | 66 | % philipsLoad.m
% Georg Oeltzschner, Johns Hopkins University 2018.
%
% USAGE:
% [data, header] = philipsLoad(filename);
%
% DESCRIPTION:
% Reads in philips MRS data (.spar and .sdat files) using code adapted from
% PhilipsRead.m, provided as part of the Gannet software package by Richard
% Edden (gabamrs.com).
%
%... |
4d0f283db8bbc936b80050c6cf84643b2389ffcfb3cf7a626282c1da0d49a859 | MATLAB | 2,272 | 96 | % 2016/11/11 by T. Ezaki
% This function calculates accuracy indices:
% r = (S1-S2)/(S1-SN), rD=(D1-D2)/D1
%
% probN: empirical prob dist (exact),
% prob1: independent MEM
% prob2; pairwise MEM
function [probN, prob1, prob2, rD, r] = pfunc_03_Accuracy(h, J, binarizedData)
[nodeNumber,dataLength] = size... |
ed031accd03e2a5024a88c8e549f152c19b448a1234ac5c7b36d2fc70e284183 | MATLAB | 2,272 | 69 | function Pd = getPrecon(problem, x, d, storedb, key)
% Applies the preconditioner for the Hessian of the cost at x along d.
%
% function Pd = getPrecon(problem, x, d)
% function Pd = getPrecon(problem, x, d, storedb)
% function Pd = getPrecon(problem, x, d, storedb, key)
%
% Returns as Pd the result of applying the Hes... |
68fee234fce84e06ac30ca92da9dfd22d0a415f31669d7c3cd8fba7c48d5d0bf | MATLAB | 2,273 | 60 | % chunkTimeSeries - Create chunks of time series data
% Assumes the time series data shape is a 2D matrix with time along the first dimension (ie time x voxels).
%
% Syntax
% [time_series_chunks, chunk_indices] = chunkTimeSeries(time_series_data, num_chunks)
%
% Input Arguments
% time_series_data – t... |
e858a78c6e78c7fb0be7df1f8ca5d31e3e3e0634cdc79ff4fa59992a4f47df24 | MATLAB | 2,273 | 55 | % demonstrate usage of mean functions
%
% See also meanFunctions.m.
%
% Copyright (c) by Carl Edward Rasmussen and Hannes Nickisch, 2022-04-04.
% File automatically generated using noweb.
clear all, close all
n = 5; D = 2; x = randn(n,D); % create a random data set
% set... |
fdccecc62e4211ba26b1fbe0f0ab03b50448cae18b59b7ad730fe64f84ec107f | MATLAB | 2,273 | 108 | function f = compute_gaussian_filter(n,s,N);
% compute_gaussian_filter - compute a 1D or 2D Gaussian filter.
%
% f = compute_gaussian_filter(n,s,N);
%
% 'n' is the size of the filter, odd for no phase in the filter.
% (if too small it will alterate the filter).
% use n=[n1,n2] for a 2D filter
% 's' i... |
f5a6f03e97df19f4066c7f3c11333cb50b9c98d711c5a41799ee90d39c51cd85 | MATLAB | 2,274 | 64 | function SaveExcelSheet
global run filename sheetname pathname dataSaveDir fileHeader Key KeyRange
global Stock StockRange
global sourcepathSES targetpathSES sourcefile factorNameList allListRange
% Open Excel application process.
e_process = actxserver('excel.application');
if run == 1
[sourcefile,pa... |
520484fb1a9c9e372b5a0b5366b73f775a440a070a6361dbc853a6936f75acd6 | MATLAB | 2,275 | 67 | %{
# Simulated Filter Responses
-> stimulus.MovieClip
filter_idx : smallint # filter index
---
resp : mediumblob # filter response to the center of the movie
%}
classdef SimResp < dj.Imported
methods(Access=protected)
function makeTuples(obj,key) %create clips
... |
ceea486143b5557be3add3a2d49b0fc3cfc67f55a57311c3e1cfd9e449650376 | MATLAB | 2,275 | 72 | %% Figure 4 main
YOURDATAPATH = '';
%% PANEL A:
% FOVs on Allen CCF
% FOV information
locsM1 = [[-1.823, -1.193]; ...
[-1.754, -0.153]; ...
[-1.592, -0.625]; ...
[-1.444, -0.561]; ...
[-1.587, -0.699]];
locsS1 = [[-2.584, 0.191]; ...
[-2.578, -0.274]; ...
[-2.801, -0.079]; ...
[-2.259, -0.... |
354f44ff5264c58fa1243243a2e2a17e4d0dc4103c0a17c81fafd562d7fb4017 | MATLAB | 2,276 | 79 | % SHUFFLE - shuffle a given dimension in an array
%
% Usage: >> Y = shuffle(X)
% >> [Y = shuffle(X, DIM)
%
% Inputs:
% X - input array
% DIM - dimension index (default is first non-singleton dimension)
%
% Outputs:
% Y - shuffled array
% I - forward indices (Y = X(I) if 1D)
% J - reverse indice... |
3d384b6f5b54f80eff2b04772790201a4bdae32496fcd235c462382aef5124ba | MATLAB | 2,276 | 52 | %{
preprocess.Treadmill (imported) #
-> experiment.Scan
---
treadmill_raw : longblob # raw treadmill counts
treadmill_vel : longblob # ball velocity integrated over 100ms bins in cm/sec
treadmill_time : longblob # timestamp... |
668b7d24ce6a9a0264d07af8f7e391d47e1c159bb0e0ce8b603ae9dbb8a688c1 | MATLAB | 2,276 | 57 | %% FromHE2HW_PETH
% Draw HE to HW PETH graph
% Since the duration between the HE and the HW varies across trials,
% interpolation method is included.
% Beware.
% This methods is more like the method for generating the ML classifiers'
% dataset, not the z score for the PETHs.
addpath('../FeatureImportance/');
Classif... |
8978d686b2b7bc10a1fa155184f79c4f2264b9baa9b4365409157bfecc1ebb40 | MATLAB | 2,276 | 61 | function [orthobasis, L] = orthogonalize_legacy(M, x, basis)
% Orthonormalizes a basis of tangent vectors in the Manopt framework.
%
% function [orthobasis, L] = orthogonalize(M, x, basis)
%
% M is a Manopt manifold structure obtained from a factory.
% x is a point on the manifold M.
% basis is a cell containing n line... |
c2bac8a78e156635d26e4248fdb0419af1cb20fe0b6b300bca3bca04b6343b16 | MATLAB | 2,276 | 74 | function c = tapas_hmm_config
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Contains the configuration for the hidden Markov model (HMM)
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% The structure ret... |
d89689a81e50c6ad8e6b498581468a7d5e32db543cb1e20afc8280ee01085525 | MATLAB | 2,276 | 64 | % VASA estimation
%
% This script computes baseline corrected contrast files using the VasA
% fMRI approach for task-based data.
%
% Dependencies (should be installed as SPM toolbox):
% - VASA toolbox: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5573956/
% input data
img_input = {
'/data/pt_01880/MonocularBlindne... |
e5f13b0b50a0b1a592af06d7dd44bfa3a098feb61ea569c41520f36bfccc3a04 | MATLAB | 2,276 | 70 | function errorbar_tick(h,w,xtype)
%ERRORBAR_TICK Adjust the width of errorbars
% ERRORBAR_TICK(H) adjust the width of error bars with handle H.
% Error bars width is given as a ratio of X axis length (1/80).
% ERRORBAR_TICK(H,W) adjust the width of error bars with handle H.
% The input W is given as a rat... |
ee1bc47d2fe11d3d10265a197eff0fd81a66420a9ee8c9271f7c657c471cf52c | MATLAB | 2,276 | 104 | function [fitres, gof, fout] = gauss2DRotFit(im,varargin)
% external file
% Create a fit.
% Input :
%
% im : input image of 2D gaussian
% fop : fitoptions - a structure with 3 fields : Lower,StartPoint and
% Upper. Each of the fields is an array of 7 values :
% offset
% ... |
4b2e39319afd601087f5b01b8872b68bb6b699e02e29c85300860c46906ed9b2 | MATLAB | 2,277 | 90 | %% single trials: raw traces
% - load trials
% - select channels
% - plot raw traces
% (c) Jiri, Feb24
%% settings
subjTag = '20_PR11';
selected_channels = {'Rd1-Rd2', 'Ld6-Ld7'};
selected_networks = {'DMN', 'DAN'};
pathBeg = 'F:\dox\ms_switch_EI\data\v31_stft_session_bip\switchin_EI_IE_bip';
%% load trials
params.s... |
cb2767dcf378a2673d544a1938292a5e03e21dccb9e0b0ae08b61775e6509c0c | MATLAB | 2,278 | 53 | function [basisSet]=osp_recalculate_basis_specs(basisSet)
%% [basisSet]=osp_recalculate_basis_specs(basisSet)
% This function recalculates the basis spectra and ppm-axis of the basis
% set.
% USAGE:
% [basisSet]=osp_recalculate_basis_specs(basisSet);
%
% INPUTS:
% basisSet = Basis set loaded in FID... |
0906d4d914e83c60590b26daa969919113efa893af57308d78a8bdca6ad6083b | MATLAB | 2,279 | 42 | function [R]=surfing_circleselection(c1,c2,f,circledef,voldef,nodeidxs,linedef,distancemetric)
% C1,C2: 3xP coordinates for the P vertices: C1 is usually the white, C2 the pial surface
% F: 3xQ vertex indices for the Q faces (1-based indices)
% VOLDEF: Struct with fields .mat (4x4 voxel to coo... |
6768a909eb6ce7f89851732e68bf6ff4e3bc68106ef647e3f0453e12d007c67a | MATLAB | 2,279 | 56 | function [accuracyMean,accuracyStd,inSampleAccStd,allFoldData,CVMdl] = ComputeCVAccuracies(dataMatrix,dataLabels,cfnParams,doSummarize)
% ComputeCVAccuracies
% Summarizes the output of GiveMeCfn as mean/std in folds, and works with single inputs to GiveMeCfn
% (for the case of CV where the training/test split is specif... |
661e436ea93a70f5cebd4a38ab6641b90e8c54ba4a0cd8c40a654235ce79a4ad | MATLAB | 2,280 | 64 | function tapas_fit_plotCorr(r)
% Plots the posterior correlation matrix of the model parameters estimated by tapas_fitModel.
% This is estimated by calculating the Hessian at the MAP estimate. The negative inverse of the
% Hessian is the parameter covariance, which is standardized to yield the correlation.
% Usage: es... |
8aa53b1035698896582ee4b6c38d65f1ff40749514c79859605bd2051c92887b | MATLAB | 2,280 | 68 | function [mergedStart, mergedEnd] = mergeCloseBursts(tStart, tEnd, gapSec)
%MERGECLOSEBURSTS Join bursts separated by less than gapSec into one.
%
% Parameters
% ----------
% tStart : vector
% burst start times, in seconds
% tEnd : vector
% burst end times, in seconds
% gapSec : double
% bursts cl... |
9c25341e30f5b991373138fce14aa74fe1a2cf6aa1e482cca14ff0270e0a81e5 | MATLAB | 2,280 | 59 | function [ sig_dF_F_activity , sig_dF_F_coactivity_threshold , sig_dF_F_coactivity_peaks ] = findSignificantDF_FCoactivity( dF_F )
%FINDSIGNIFICANTDF_FCOACTIVITY( dF_F )
%
% PARAMETERS:
% \_ dF_F [TxN matrix]: dF/F-signal for N units in T time steps
%
%
% === Jan Moelter, The University of Queensland, 2018 ==========... |
ef22c09406bf62244bbe094726a6d84447b3429446a364a8ac492a83b56bcd05 | MATLAB | 2,282 | 72 | function this = write_nifti_analyze_nd(this, filename)
% saves MrImage to nifti/analyze file depending on file extension
% (.nii/.img)
%
% Y = MrImage(origFileName);
% Y.write_nifti_analyze_nd(newFileName)
%
% This is a method of class MrImage.
%
% IN
% fileName string of file identifier to save to; if not spe... |
2ec8cd241f84899bbe1b8b27bab95430b20de5f6cd85045f73f974b901b76add | MATLAB | 2,283 | 56 | % STD_SELECTDESIGN - select an existing STUDY design.
% Use STD_MAKEDESIGN to add a new STUDY.design.
%
% Usage:
% >> [STUDY] = std_selectdesign(STUDY, ALLEEG, designind);
%
% Inputs:
% STUDY - EEGLAB STUDY structure
% STUDY - EEGLAB ALLEEG structure
% designind - desired (existing... |
935325689eeb1dc7d0b8098ea628ca9517d7ca4b41e45491c33ddf4a376c2f33 | MATLAB | 2,284 | 80 | % this was just used internally (for QC and for subject leaderboard)
% and to derive FIR for library purposes.
function glm_nsdSIMPLE(ppdir)
% this is one-regressor GLM for the screening session phase.
% approach: every stimulus is the same, assume HRF, no boots
% define
stimdur = 3;
tr = 1;
% figure out runs
file... |
74dac305621c351c145f7d64207105d8d5fdc7566e7ba4f48a9a85fb4fe5de55 | MATLAB | 2,285 | 60 | % STD_RESET - Remove all preloaded measures from STUDY
%
% Usage:
% >> STUDY = std_reset(STUDY);
%
% Inputs:
% STUDY - EEGLAB STUDY structure
%
% Outputs:
% STUDY - EEGLAB STUDY structure
%
% Author: Arnaud Delorme, CERCO/CNRS & SCCN, INC, UCSD, 2009-
% Copyright (C) Arnaud Delorme, arno@sccn.ucsd.edu
%
% This f... |
e71f2f597dbff4313656ca99e72cff15f7614e0c30fa3f320ce378afeee196a1 | MATLAB | 2,286 | 59 | function [g] = gen_SWnet(n,k,beta)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% gen_SWnet generates small-world network using Watts-Strogatz model.
% Ring lattice of n nodes with k-nearest neighbor is first created, and
% then nodes are rewired depending on rewiring probability.
%
% Ar... |
5bbb38301d353a7efda1155526543aa6e7b9b4f0a06358c2dd3599fe7d9a14de | MATLAB | 2,288 | 70 | function convertMCSh5toMat(dataFolder)
% Converts h5 files from multichannel systems (MCS) to mat files to be used
% in MEA-NAP
% Adapted from code from Alessio
% Written by Tim Sit during March 2024
% The code currently assumes that the reference electrode is number 15
fileList = dir(fullfile(dataFolder, '*... |
ce981dd32b9aa02ad9e8f2c22dd0d27324a3d8f2930c3b30293312ecf6e49c38 | MATLAB | 2,288 | 88 | function [LatOpt, RPE, Kappa, Rewards, Delays] =...
simulate_vanillaTD(alpha, ratTrial, rpetype, scalingfactor)
if nargin<4
scalingfactor = 0.48;
fprintf('Using default discount factor %.2f\n', scalingfactor)
end
%% Pull Data from Rat Trial
% Only use trials where we have data from the rat (basically cove... |
147e4ea026871fe386896fe0ba6637a30dd5c3714d151be199bc86c270790582 | MATLAB | 2,290 | 56 | % Convert EEG data in BrainVison format to MATLAB-compatible format
%
% Please see description PDF file for more details
% Example rawdata is from VP026
% We strongly recommend you to use data in MATLAB-compatiable format uploaded separately
% Please download BBCI toolbox
%%%%%%%%%%%%%%%%%%%%%%%%%% please modify folde... |
1d2684498524d944ae067858371a04c85c4fa256770bb87e9b55db3345e0e4b1 | MATLAB | 2,292 | 68 | function [dat] = read_brainstorm_data(filename, hdr, begsample, endsample, chanindx)
% READ_BRAINSTORM_DATA reads .EEG files that have been generated by
% the Nihon Kohden system. The function constitutes a wrapper around
% BrainStorm3 functionalities
%
% Use as
% [dat] = read_brainstorm_data(filename, hdr, begsampl... |
ec86278489e19f99ee2e4fd718663722aa5d32564aa423e6248f7c68eb921768 | MATLAB | 2,292 | 87 | function [funcs, PB, sizing, borders, myelin] = Setup_Simulation
% SETUP_SIMULATION
%
% Initialises the spatial domain, region boundaries, myelin grid,
% and model parameters for the simulation.
%
% OUTPUTS:
% funcs - function handles and behavioural parameters
% PB - probabilistic boundary parameters
% s... |
60d253670f597fc907a2adc6593e3a171e851417cf6395cbdd9fe42805bc2f74 | MATLAB | 2,293 | 82 | function plot_hylid_gt(gt,filter,varargin)
p = inputParser();
p.addParamValue('inds',true,@(x)isscalar(x));
p.addParamValue('names','short',@(x)ischar(x)&&any(strcmpi({'none','short','long'},x)));
p.addParamValue('sizes',true,@(x)isscalar(x));
p.addParamValue('Parent',[],@(x)isscalar(x));
p.parse(varargin{:});
args = ... |
f6060c2ded87af9ab716f215bf5af9c677b752271526213359a7d5c43d3f2ec2 | MATLAB | 2,296 | 56 | % --------------------------------------------------------------------
function import_raven_Callback(hObject, eventdata, handles)
% Requires a Raven table and audio file.
% (http://www.birds.cornell.edu/brp/raven/RavenOverview.html)
%% Get the files
[ravenname,ravenpath] = uigetfile([handles.data.squeakfolder '/*.txt... |
0704722f112299b01172e6e7c872231ab1f217b97214434242707f111a748866 | MATLAB | 2,297 | 67 | classdef MrCopyDataTest < MrCopyData
% Implements class with nested MrCopyData objects to test recursive
% operations of MrCopyData
%
%
% EXAMPLE
% MrCopyDataTest
%
% See also MrCopyData
% Author: Lars Kasper & Saskia Bollmann
% Created: 2017-07-20
% Copyright (C)... |
24392125401528a787fca5e3867b8fc1208a14d17fb7ccc32e62ee7433b5fdf4 | MATLAB | 2,298 | 69 | function [dat] = read_biosig_data(filename, hdr, begsample, endsample, chanindx)
% READ_BIOSIG_DATA reads data from EEG file using the BIOSIG
% toolbox and returns it in the FCDC framework standard format
%
% Use as
% [dat] = read_biosig_data(filename, hdr, begsample, endsample, chanindx)
% where the header has to be... |
35de7047b1e88add715b60a269d5e3435c79a178560d41d15c30c33ea9571f26 | MATLAB | 2,298 | 75 | function [err,Eq] = Plane_Equation (Triplets, verbose)
%
% [err,Eq] = Plane_Equation (Triplets, [verbose])
%
%Purpose:
% Determine the equation of the plane passing through three points
%
%
%Input Parameters:
% Triplets is an Nx1 vector of strucutres. Each structure defines a plane
% .XYZ : is a 3x3 matrix con... |
6bd90f58b1031bf24c1288480b8ad73dadbd47e765eca28a249803a9e979aeab | MATLAB | 2,298 | 86 | %
% nets_spectra - calculate and display spectrum for each node, averaged across subjects
% Steve Smith and Ludo Griffanti, 2013-2014
%
% [ts_spectra] = nets_spectra(ts);
% [ts_spectra] = nets_spectra(ts,node_list);
% [ts_spectra] = nets_spectra(ts,node_list,tailnorm);
%
% node_list is optional, and is a vector list... |
18b77efad8d3169c10ed12fffbb776fca7a99687f2948e16528f094d33b1e3ff | MATLAB | 2,299 | 68 | % EEG_ISBOUNDARY - check if an event is a boundary event
%
% Usage:
% >> logical = eeg_boundaryevent(INEEG);
% >> logical = eeg_isboundary(event);
%
% Inputs:
% event - EEGLAB event
%
% Outputs:
% logical - true or false
%
% Author: Arnaud Delorme, 2022
%
% see also: EEGLAB
% Copyright (C) 2022 Arnaud... |
0344a02689af8061ba028b1044d77ef01f1f191b855927dffe0648cf37f1abda | MATLAB | 2,300 | 79 | function fear_frzTrigReact_cond(basename,varargin)
load([basename '.basicMetaData.mat'])
fprintf('%s start %s with data of %s\n',datestr(now),mfilename,basicMetaData.SessionName)
param.binSize=0.02;
param.halfWindow=5;
param.targetHC=3;
param.varName='frzTrigReactCond';
param.saveFile=[basicMetaData.AnalysesName '-fr... |
198a6ddf5523015af914e7d3cbde5ad4c764d753af80255b364fbdae25255a16 | MATLAB | 2,300 | 68 | function [ psi, v_mi, x_mi ] = EmergencePsi(X, V, tau, method)
%% EMERGENCEPSI Compute causal emergence criterion from data
%
% PSI = EMERGENCEPSI(X, V) computes the causal emergence criterion psi for
% the system with micro time series X and macro time series Y. Micro data
% must be of size TxD and macro d... |
c2052250e7823df47eb43cc9d88668aa4301f06c2ee3990fe5ed94dc0e2795ce | MATLAB | 2,301 | 37 | function [photoOn_epoch_mean,photoOff_epoch_mean,photoOnMid_frames,photoOffMid_frames] = get_epoch_mean(full_deconv_traces,photo_onset_frames,...
num_photoOn_frames,num_window_frames,maskout_frames,num_baseline_frames)
Fs = 10; % frames per second
% num_photoOn_frames = photostimulation epoch length;... |
81e2c7e114b6b28e99e959b2c98df37ac50e21d46ea91fb2cb5c796f444f0b4b | MATLAB | 2,302 | 84 | function fear_getRipFrMod(basename)
% basename='~/data/Fear/triple/hoegaarden181115/hoegaarden181115';
load([basename '.basicMetaData.mat'])
fprintf('%s start %s with data of %s\n',datestr(now),mfilename,basicMetaData.SessionName)
%%
load([basicMetaData.Basename '.okUnit.spikes.mat'])
load([basicMetaData.Basename '.s... |
4b069922764b9118683c05a4211ca6a658ff400045171c3ec882ba8750cbbb8c | MATLAB | 2,303 | 75 | function ConcentrationProfile(file,molec,model,dx,Mx,S0,U,UT,Cb)
% Transform units from SI to desired ones
scaleC = convertFromSIunit(U);
scaleT = convertFromSIunit(UT);
Cb=Cb*scaleC;
C=load(file);
Y=C.Data;
t=C.t.*scaleC;
T=C.t(end) * scaleT;
% Generate parameters... |
5f8152c53e6a15e12a2c9c4063bdfe38729bc8d4f12df0eff919b2f1935adbeb | MATLAB | 2,303 | 73 | %% Figure 3 main
YOURDATAPATH = '';
%% Panels A,B,D use mouse 1
mouse = 'cfa17';
session = '200825';
[R, M, config] = loadData(mouse, session, 'R', 'DLC3', YOURDATAPATH);
% Lock data for joint angle time series
config.preT = -100;
config.postT = 400;
config.tBase = 10;
config.tPts = config.preT:config.tBase:config.po... |
662b98b66ba614cba4079667f034199b7c4a2023df71f51e5e2f13bb3e2f94d4 | MATLAB | 2,303 | 66 | function essential_svd
% Sample solution of an optimization problem on the essential manifold.
%
% Solves the problem \sum_{i=1}^N ||E_i-A_i||^2, where E_i are essential
% matrices. Essential matrices are used in computer vision to represent the
% epipolar constraint between projected points in two perspective views.
%... |
69069139e3ac6d3d44f3a575c96dcd78b24ba6985d31361d910d161389773ea5 | MATLAB | 2,303 | 79 | %% Add path
addpath('H:\Kaizhen\Anxiety_behavior_phenotyping_analysis\Ethological_Behavior\Heat_Map_spatial');
% List of Excel files (behavior phenotypes)
fileList = { ...
'nr_walking_spatial.xlsx', ...
'nr_grooming_spatial.xlsx', ...
'nr_climbing_spatial.xlsx', ...
'nr_headdip_spatial.xlsx', .... |
564f578ce508a63db7761458e0ab8df77fc01904c2d783896d065dc7c26fe747 | MATLAB | 2,304 | 52 | % # (JM) MODIFIED FROM ORIGINAL FUNCTION 'AssembliesActivations'
function AssembliesActivations( filenameCLUSTER )
% # [filename,pathname] = uigetfile({'*_CLUSTERS.mat';'*_CLUSTERS.MAT'},'Open file with assemblies data', 'MultiSelect', 'off');
% # filenameCLUSTER=fullfile(pathname,filename);
load(filenameCLUSTER);
... |
be703d4af90809b0f05d2f1b2e41b45d7ad71f29e22dcef59fb71984d1875cd3 | MATLAB | 2,304 | 74 | function [y,mask] = vl_nndropout(x,varargin)
%VL_NNDROPOUT CNN dropout.
% [Y,MASK] = VL_NNDROPOUT(X) applies dropout to the data X. MASK
% is the randomly sampled dropout mask. Both Y and MASK have the
% same size as X.
%
% VL_NNDROPOUT(X, 'rate', R) sets the dropout rate to R. Rate is defined
% as a probabil... |
5329d696563e337288ba24427758f2612b2997f49381358ee8f22bd7ef35dc8e | MATLAB | 2,305 | 81 | % BIDS_LOADFILE - import JSON or TSV file
%
% Usage:
% bids_loadfile(localFile, globalFile)
%
% Input:
% localFile - Name of the localfile
% globalFile - Name of the global file if the local file cannot be
% found
function data = bids_loadfile(localFile, globalFile, rawFlag)
[~,~,ext... |
de169915b2571d370b607d07ff8de5a0cd7b04ff04d0394d962c5edaa649dfac | MATLAB | 2,305 | 93 | function [ volsperrun ] = GE_get_volsperrun(inDir)
%
% [ volsperrun ] = GE_get_volsperrun(inDir)
%
% A utility to find the number of volumes per run in an ADW scan.
% inDir is the starting directory for the I.* files.
%
% Souheil J. Inati
% Dartmouth College
% July 2001
% souheil.inati@dartmouth.edu
%
% Get series ID ... |
686fd3933e7380c1c16dc37261c611e60385f730f07124816e6bc5c4f27753db | MATLAB | 2,306 | 77 | function [frequency,pow,options]=plotPSD(data,varargin)
% EXAMPLE: [frequency,pow,options]=plotPSD(data,'FrameRate',200,'FreqBand',[0.1 100])
% 'VerboseMessage' ,true;
% 'VerboseFigure' ,true;
% 'Savefig' ,false;
% 'FrameRate' ,1000;
% 'FreqBand' ,[0.1 min(options.FrameRate/2,30)];
% 'Window' ... |
874355d77cfd16dd0a5ca1087190634c9f6d950c6b41964ad1cea167b25581e8 | MATLAB | 2,306 | 75 | % LLE ALGORITHM (using K nearest neighbors)
%
% [Y] = lle(X,K,dmax)
%
% X = data as D x N matrix (D = dimensionality, N = #points)
% K = number of neighbors
% dmax = max embedding dimensionality
% Y = embedding as dmax x N matrix
% Modified by LC. January 2008.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
5b17be9e99820faf1db7d4f541ef2ec75ef05c2fde9fb243677b75ea111a2ef8 | MATLAB | 2,307 | 77 | function [lossTests, lossSEMs] = jointKinematicsCVPCA(kinematicsAll, maxDims, nLabels)
% Computes cross validated PCA on joint angles and velocities
if nargin < 3
nLabels = 5;
end
if nargin < 2
maxDims = 16;
end
% Params
mice = unique({kinematicsAll.animalID});
lossTests = zeros(length(mice),maxDims,2);
loss... |
99214b9a7caafad6d147267150f96550033d5456934670f717336caf4247a775 | MATLAB | 2,307 | 67 | %%
%2X5
anatData = [anat_lS1, anat_lMTt, anat_rMTt,anat_lhMT, anat_rhMT];
extData = [ext_lS1, ext_lMTt, ext_rMTt,ext_lhMT, ext_rhMT];
dataMat=[anatData;extData]
subjNb=20 ; %number of replications
[p,tbl,stats] = anova2(dataMat,subjNb);
c1 = multcompare(stats);
%%
anatData = [anat_lS1, anat_lMTt, anat_rMTt,anat_lhM... |
166ced5935bc0fe7fa42bfae2c29231f7e75ce462bfa295defdeb383331fbac7 | MATLAB | 2,308 | 75 | function s = appendstruct(varargin)
% APPENDSTRUCT appends a structure or a struct-array to another structure or
% struct-array. It also works if the initial structure is an empty structure or an
% empty double array. It also works if the input structures have different fields.
%
% Use as
% ab = appendstruct(a, b)
%... |
0ad051e9f6fd69360c77cb98a361059b27a2468fe6916713844bd69a4ef7b9ae | MATLAB | 2,309 | 66 |
%% testing part pending
clear;
mypath = '/Users/bo/Documents/data_liujia_lab/analysis_liuP1_greeble';
para=7;
for sub = 1:35
for sess = 2:2:8
% access raw table
mypath_time_record = [mypath, '/sub', num2str(sub), '_mri_record_subj_vector_mean_testing_para',num2str(para),'_1_35.txt'];
... |
9ae75da8a3d0da3880a0d248f085fcb2c72244837e11056c7e06208cd99b671b | MATLAB | 2,309 | 121 | function plotSnips()
parent = 'D:\Voltage_Imaging\03.02\Analysis';
fn = {};
fn{end+1} = 'Snip(field1d_00001)_1-4.mat';
fn{end+1} = 'Snip(field4a_00001)_1-4.mat';
fn{end+1} = 'Snip(field4b_00002)_1-4.mat';
fn{end+1} = 'Snip(field5_00001)_1-4.mat';
fn{end+1} = 'Snip(field7_00001)_1-4.mat';
fn{end+1} = 'Snip(field8_0000... |
0f667abd5b1d7406611d9f878730a4f469f4b7dea41a9ddd4c4ccb501393cd25 | MATLAB | 2,310 | 83 | function geometry4D = get_geometry4D(this, dimLabelsGeom)
% Converts specified dimensions into classical (e.g. nifti) 4D geometry
%
% Y = MrDimInfo()
% geometry4D = Y.get_geometry4D(dimLabelsGeom)
%
% This is a method of class MrDimInfo.
%
%
% IN
% dimLabelsGeom cell(1,4) of dimension labels constituting 4D geo... |
7a1a6457ff46c5cc16f222b374517ae9df5cedaebcedd7337c5a1e0cf62f92c3 | MATLAB | 2,310 | 84 | function plot_fig5h(datadir)
prct = 15;
fpath = fullfile(datadir, 'data-published/NpxData/pD1pD2.mat');
load(fpath, 'SU', 'S', 'pd1_coff_list', 'pd2_coff_list');
plot_persistence(SU, S, pd1_coff_list, pd2_coff_list, prct)
end
function plot_persistence(SU, S, d1list, d2list, prct)
if nargin<5
prct = 15;
end
AvgF... |
8c8674b573390ee03530514b3ee02942bfc6acf91169c9115b6b781d8f8fc66b | MATLAB | 2,312 | 55 | function mask = transientrise(trace, dTmin, nsigmarise, nsigmadecay, sigma, smoothGauss)
% Make a mask that identifies the significant transients in a calcium
% recoridng that cross the nsigmarise and last until crossing nsigmadecay.
% Adapted from Dombeck et al., 2007.
% Note H.-L. Chen: dTmin is in unit of frame ... |
c81ac82dd8951733387e26878bfcf1e63e3b92b0de16d24afb7350d670b45369 | MATLAB | 2,312 | 79 | function [x] = ft_struct2char(x, maxdepth)
% FT_STRUCT2CHAR converts all string elements in a structure
% into char-arrays.
%
% Use as
% x = ft_struct2char(x)
%
% See also FT_STRUCT2STRING, FT_STRUCT2SINGLE, FT_STRUCT2DOUBLE
% Copyright (C) 2018, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.... |
ce80077b85d1795a03e89bf778613d8512c35ce0d40f89848c97ac2f7d646ad8 | MATLAB | 2,312 | 88 | % function [d,i] = MS_nearneigh(X,tau,blocksize)
%
% calculate the nearest (RMS) neighbour of each embedded point
% represented as columns of X.
% tau points either side of each point are excluded (default tau=0);
% i is the index of the nearest neighbours and d are the distances.
%
% nearest neighbours are calculat... |
efea9c45a111b952cc41726642cbdb7d088e8e24728c28c3ff6ebd2bdbd40de7 | MATLAB | 2,313 | 59 | function [h_axes,h_image] = clrBar_axes(plotInfo)
% plots "colorbar" as a new image into new axes of existing figure
% useful in case of two or more colormaps are catted together
% draws only specified range of the figure's colorbar
% (c) Jiri, Apr17
%% defaults
%if ~isfield(plotInfo, 'axPos'), plotInfo.axPos = [0.9... |
0fa02d367b31b3df2d3d909ba61b601ec3096fad22213be46a915dd7bc45344a | MATLAB | 2,314 | 81 | function SurfStatWriteSurf( filenames, surf, ab );
%Writes coordinates and triangles to an array of .obj or FreeSurfer files.
%
% Usage: SurfStatWriteSurf( filenames, surf [,ab] );
%
% filenames = .obj or FS file name (n=1) or n x k cell array of file names.
% If extension=.obj, writes a .obj file (ASCII... |
5ffa8545a3b24a59a8fb1ddc7d5204f98b6ac2f18aafc3c2ce8109e3fed0a8c8 | MATLAB | 2,314 | 76 | function [myelin] = Oligo_Remyelination(local_threshold, myelin)
% OLIGO_REMYELINATION
%
% Simulates remyelination driven by oligodendrocytes.
% Myelin regeneration occurs if:
% - Local damage is below a threshold
% - The associated oligodendrocyte is healthy
% - A regeneration timer condition is met
%
% INPUTS:... |
ea4d5ba962985b52fe171d618283718771eb9471c09a7e295165776970e2fadc | MATLAB | 2,314 | 67 | % Script demo_load
% Loads Nifti-image (TODO: other file formats) from disk into MrDataNd
%
% demo_load
%
%
% See also
% Author: Saskia Bollmann & Lars Kasper
% Created: 2017-01-18
% Copyright (C) 2017 Institute for Biomedical Engineering
% University of Zurich and ETH Zurich
%
% This file is ... |
379e4954c3f93b34c782aaeb76c26c98e0ae56f7a8f5a81bd9b637aa0394e4b0 | MATLAB | 2,315 | 49 | function ROIstat = eval_ROIS(ROIs,fit,Model)
%eval_ROIs(ROIs 'cell', fit 'struct', Model 'string')
% evaluate ROIs for calculated parameters
%
% ROIs : cell array containing ROIs as matrix
% fit : struct containing fitting results
% Model : "Biexp", "Biexp_T1corr" or "Triexp"
switch Model
c... |
a311cfcd82c4e53902722cd30e4190408a3d92fe794446c957290d0a10c1571f | MATLAB | 2,315 | 74 | function [y,mask] = vl_nndropout(x,varargin)
%VL_NNDROPOUT CNN dropout.
% [Y,MASK] = VL_NNDROPOUT(X) applies dropout to the data X. MASK
% is the randomly sampled dropout mask. Both Y and MASK have the
% same size as X.
%
% VL_NNDROPOUT(X, 'rate', R) sets the dropout rate to R. Rate is defined
% as the probab... |
ab11b1864f485e396f1c8678e67896ca3c763dae74ce7fef711d9991efca8749 | MATLAB | 2,315 | 65 | %{
# brain area membership of cells
-> fuse.ScanSetUnit
---
-> anatomy.Area
%}
classdef AreaMembership < dj.Computed
properties
keySource = proj(experiment.Scan) * proj(shared.SegmentationMethod) * proj(shared.PipelineVersion) & fuse.ScanDone & anatomy.AreaMask
end
methods(Access=prot... |
bf76bd513247a7e6b02ca67745192c134ae2697b0b67a0addac8f281a09324a3 | MATLAB | 2,317 | 75 | function tests = tapas_physio_pca_test()
% Test both pca() from "stats" toolbox and svd() built-in Matlab functions
% give the same results.
%
% tests = tapas_physio_pca_test()
%
% IN
%
% OUT
%
% EXAMPLE
% tapas_physio_pca_test
%
% See also tapas_physio_pca
tests = functiontests(localfunctions);
end % function
f... |
b40964d8065cf1f94609056e150a2d07d30c56dd968c9dbc140a3080659101e8 | MATLAB | 2,319 | 68 | function pred = nnrpred2(Xtest,X,y,y_exp,K,dist_type,pret_type)
% prediction of new samples with knn regression model
%
% pred = nnrpred(Xtest,X,y,K,dist_type,pret_type)
%
% ------------ INPUT ---------------------------------------------------
% Xtest: dataset to be predicted [n_test x p] n objects, p variable... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.