sha256 stringlengths 64 64 | language stringclasses 27
values | size int32 1 491k | lines int32 1 21.8k | content stringlengths 1 200k |
|---|---|---|---|---|
c0f88b28cd4ed100ebf42672967bfe7b3e6bf29dcad23f4d6b770daa4bcca78f | MATLAB | 8,190 | 227 | % ========================================================================
%> @class stateNode
%> @brief a single hierarchical state node (handle) for stateMachineTree.
%>
%> stateNode is a handle class representing one state in a hierarchical
%> state machine tree. Each node has a `parent` (another stateNode, or []
%>... |
f08ed9b8c5481c4407b8cc7166de67fd1b93ba4be764f97d0d446376168daf83 | MATLAB | 8,207 | 238 | function respsort_partitions_PD(pdcells,alignevent,partition, twinds, resdir, issave,excl_beforeEv)
%RESPSORT_PARTITIONS_PD Tests activation/ inhibition predicting the behavioral outcome
% RESPSORT_PARTITIONS_PD(pdcells,alignevent,partition, twinds, resdir, issave)
% -Plots PSTHs and raster plots of partition... |
07015d25c7d61321fc8ceaefdd8ea4f738345077e32ab0c964f2c6468b04485e | MATLAB | 8,237 | 301 | %% FUNCTION Logistic_TGL
% Temporal Group Lasso Progression Model with Logistic Loss.
%
%% OBJECTIVE
% argmin_{W,C} { sum_i^t (- sum(log (1./ (1+ exp(-X{i}*W(:, i) - Y{i} .* C(i)))))/length(Y{i}))
% + rho1 * \|W\|_2^2 + rho2 * \|W*R\|_2^2 +
% + rho3 * \|W\|_{2,1} }
%
%% R encodes smooth relati... |
aaf48ac515b794da1791fee6c107083ad371e17001bbd1fc75eb2029022b4759 | MATLAB | 8,240 | 160 | function [ IMPUTE, act ] = nk_Impute_config(NM, IMPUTE, varind, parentstr, defaultsfl)
IMPUTEDEF_K = 7; IMPUTEDEF_METH = 'euclidean' ; IMPUTEDEF_BLOCK = [];
if ~exist('varind','var') || isempty(varind), varind=1; end
IMPUTEDEF_HYBMETH1 = 'jaccard';
IMPUTEDEF_HYBMETH2 = 'euclidean';
IMPUTEDEF_HYBTHRESH = 3;
if ~exist... |
0f047d809bf06b62096c5ccb1469b823a57fc42b95a69d7f91626bf3de9dcc99 | MATLAB | 8,245 | 299 | %% FUNCTION Logistic_CFGLasso
% Fused Group Lasso Progression Model with Logistic Loss.
%
%% OBJECTIVE
% argmin_{W,C} { sum_i^t (- sum(log (1./ (1+ exp(-X{i}'*W(:, i) - Y{i} .* C(i)))))/length(Y{i}))
% + rho1 * \|W\|_1 + rho2 * \|W*R\|_1 +
% + rho3 * \|W\|_{2,1} }
% where:
% rho1: sparse.... |
6ccf74c1b65fc77ac2723e3a2d02696388a99947063faeb4bd8be83097eb60bb | MATLAB | 8,253 | 236 | function [model,OtherOutput]=classificationTrain(trainSet,trainClass,method,option)
% Learn a classification model specified by "method"
% Usage:
% [model,OtherOutput]=classificationTrain(trainSet,trainClass,method)
% [model,OtherOutput]=classificationTrain(trainSet,trainClass,method,option)
% trainSet, matrix, the tra... |
c79a2430a3f9c2d9d65e5bdece392ac7e1e48857c86cf3d700b048703187ff3c | MATLAB | 8,254 | 156 | function [X, fX, i] = minimize(X, f, length, P1, P2, P3, P4, P5, P6);
% Minimize a continuous differentialble multivariate function. Starting point
% is given by "X" (D by 1), and the function named in the string "f", must
% return a function value and a vector of partial derivatives. The Polack-
% Ribiere flavour of ... |
0585382acef560d9e016b4e6db1f1a4b145f10d4ad8b0f63ea3dc20fc3520727 | MATLAB | 8,268 | 181 | function [W0,R] = null_model_und_sign(W,bin_swaps,wei_freq)
%NULL_MODEL_UND_SIGN Random graphs with preserved weight, degree and
% strength distributions
%
% W0 = null_model_und_sign(W);
% W0 = null_model_und_sign(W,bin_swaps);
% W0 = null_model_und_sign(W,bin_swaps,wei_freq);
% [W0 R... |
7cba13056336c963865b1f3ee4a06ec8c5fb3501af38af3d69649e12092da503 | MATLAB | 8,301 | 203 | function prep = sst_prepare_for_jags(csvFile)
x = readtable(csvFile);
req = ["subject","eventname","task","site","date", ...
"sst_run","sst_primaryresp","sst_stimfile","sst_expcon", ...
"sst_primaryrt","sst_ssd_dur","sst_choiceacc","sst_inhibitacc"];
miss = setdiff(req, string(x.Prope... |
d653976f3c3f4dd1664ba238d8561edbef52a6c0e09bf9af5d4baa564e3c9d17 | MATLAB | 8,305 | 260 | %% 0. Setup
% Initialization
% clear; close all; clc;
% Add folder with raw data to path
addpath('/Users/justintorok/Documents/MATLAB/eNDM/raw_data_mouse')
% Add library with eNDM functions to path
addpath('/Users/justintorok/Documents/MATLAB/eNDM/lib_eNDM_general')
% addpath('C:/Users/chait/Documents/NOTES/CHAI/U... |
68cbed16b45c9365266a8f577aa2946f9d1bbaa34b1003a34176f0eb1d86ae02 | MATLAB | 8,311 | 132 |
% CAT12 for Aging dataset
% CL Septembre 2020, landelle.caroline@gmail.com // caroline.landelle@mcgill.ca
% Toolbox required: Matlab, SPM, CAT12 Toolbox
% Cat12: http://www.neuro.uni-jena.de/cat/
% Segmentation CAT12 /!\ expert mode: cat.extopts.expertgui to 1 in cat_defaults.m line 282
% Inputs:------------------... |
a0b5b2a37ab5cfdadb44ef12aff5ce0b8d1f29255b9b0d637345a2c1e088e777 | MATLAB | 8,357 | 258 | %% 0. Setup
% Initialization
clear; close all; clc;
% Add folder with raw data to path
addpath('C:/Users/chait/Documents/NOTES/CHAI/UCSF/Raj_Lab/NDM/eNDM-master_genes_new/raw_data_mouse')
% Add library with eNDM functions to path
addpath('C:/Users/chait/Documents/NOTES/CHAI/UCSF/Raj_Lab/NDM/eNDM-master_genes_new/l... |
30f4ab75816d583476c512a8e5763167867947dca920b35cb06a671c04ed9d5a | MATLAB | 8,387 | 243 | %% mRVM2
% authors: Ioannis Psorakis psorakis@gmail.com, Theodoros Damoulas
% theo@dcs.gla.ac.uk
% Copyright NCR, 2009
%
% Use of this code is subject to the Terms and Conditions of the Research License Agreement,
% agreed to when this code was downloaded, and a copy of which is available at
% http://www.dc... |
e4b7b02a9934737081f8c55edf37800d48a79090e90de36d8d6a4b119de1b60d | MATLAB | 8,398 | 267 | function [c, s, b, g, smin, active_set] = thresholded_oasisAR1(y, g, sn, optimize_b,...
optimize_g, decimate, maxIter, thresh_factor, p_noise)
%% Infer the most likely discretized spike train underlying an AR(1) fluorescence trace
% Solves the sparse non-negative deconvolution problem
% min 1/2|c-y|^2 subject to ... |
3fc4ccf6c74dca162c56e514657dd292cd882d5f0a28ac0b55092914cc84a145 | MATLAB | 8,413 | 264 | %% 0. Setup
% Initialization
clear; close all; clc;
% Add folder with raw data to path
addpath('C:/Users/chait/Documents/NOTES/CHAI/UCSF/Raj_Lab/NDM/eNDM-master_genes_new/raw_data_mouse')
% Add library with eNDM functions to path
addpath('C:/Users/chait/Documents/NOTES/CHAI/UCSF/Raj_Lab/NDM/eNDM-master_genes_new/l... |
ececf37b32db9370de01391154a992954cfc8f35f2c8f85395aefdb48bf2941a | MATLAB | 8,414 | 330 | function image_resized = resize_image_JuSpace(image_to_resize,image_for_size)
Vi = {image_for_size;image_to_resize};
Vo = image_for_size;
f = 'i2';
flags.dmtx = 0;
flags.mask = 0;
flags.interp = 0;
flags.dtype = 4;
if ~isstruct(Vi), Vi = spm_vol(char(Vi)); end
%% part spm_imcalc
if isfield(flags,'dmtx'), dmtx ... |
6a8d5fbca09db2f7bae011d316c8bbd458e4a58dd6aac5a259986bb26a240cde | MATLAB | 8,421 | 252 | function spike_triggered_average_PD(sess2analyse,chanmean,frnm,freq,save_window,plot_window,EventTypes)
%SPIKE_TRIGGERED_AVERAGE_PD Spike-triggered average
% SPIKE_TRIGGERED_AVERAGE_PD(sess2analyse,chanmean,freq,save_window,plot_window,EventTypes)
% -Saves spike-triggered LFP epochs for sessions specified in... |
3caec260049f4379e48472485f6daeac1a638e3c601f00d5d662753194eaf3db | MATLAB | 8,435 | 189 | function eps2pdf(source, dest, crop, append, gray, quality, gs_options)
%EPS2PDF Convert an eps file to pdf format using ghostscript
%
% Examples:
% eps2pdf source dest
% eps2pdf(source, dest, crop)
% eps2pdf(source, dest, crop, append)
% eps2pdf(source, dest, crop, append, gray)
% eps2pdf(source, dest, crop... |
79c313b0264e4a1c6519645c133018f4454a29141eec93184123236b99d3caf7 | MATLAB | 8,447 | 203 | clear all
close all
setup_paths;
kk=0;
for monkey=2
if monkey==1
monkey_name='Jupiter';
elseif monkey==2
monkey_name='Mercury';
end
nn=0;
[num,txt,session_name]=xlsread('Session_name.xlsx',monkey_name);
filename_marker=[monkey_name,'_stage2_nonprimate_marker_organized.xlsx'... |
9f0c4c3c9be6809755bfe242cbb6a76fdc40ebff17bc25f1c66b016ff12d6acb | MATLAB | 8,463 | 83 | set(0,'DefaultFigureWindowStyle','Docked')
%close all hidden; close all;
clear;
clc
tic %start a timer to see how long the algorithm runs
%This script loads a .plx file, makes rasters from the plx, makes correlograms from the rasters, then analyzes data from the rasters and correlograms
%Key metrics are plo... |
95ef8cf779dbbe6b633cb7e05577ab5a1fcc41654486bbac856c97807d7e6968 | MATLAB | 8,494 | 233 | % =========================================================================
% FORMAT [adapthresh, Crit, mx] = nk_AdaptiveThreshold2(Y, labels, V, adap,
% Ynew, labelnew)
% =========================================================================
% Determine adaptively the best threshold to extract features from Y,
% b... |
ec5dbf2ffd9bb6205f62cca1bbf21da4db28db67326c7d1748631380b6505ddd | MATLAB | 8,504 | 210 | function IN = nk_PerfFeatRankObj(oY, IN)
% =========================================================================
% FORMAT function IN = nk_PerfFeatRankObj(Y, IN)
% =========================================================================
% Takes input matrix Y and ranks its features according to their relevance
% ... |
2ed28fbcf55455d2fec5e59cf2e8cbafd83ed295c0a837e65953c458ec4d2b09 | MATLAB | 8,517 | 236 | function result = pam(x,kclus,vtype,stdize,metric,plots)
%PAM is the Partitioning Around Medoids clustering algorithm.
% It returns a list representing a clustering of the data into kclus
% clusters based on the search for kclus representative objects or medoids among the observations of
% the data set.
%
% The algori... |
b0ce1fac81f68e4bc15cbec66f95bc3ff624f76dcc40e33ba13d9ece5179d05c | MATLAB | 8,529 | 311 | %% FUNCTION Logistic_CMTL
% Convex-relaxed Clustered Multi-Task Learning with Logistic Loss.
%
%% OBJECTIVE
% argmin_{W,M,C} { sum_i^t (- sum(log (1./ (1+ exp(-X{i}*W(:, i) - Y{i} .* C(i)))))/length(Y{i}))
% + rho1 * eta (1+eta) trace(W (eta I + M)^-1 W')
% subject to: trace (M) = k, M \preceq I, M \... |
017f6f9ea2ab746a928f17e6056e0bbace13ffd7c4de0d6b99eec73116c2acbf | MATLAB | 8,561 | 293 | function [mappedX, mapping] = lmvu(X, no_dims, K, LL)
%LMVU Performs Landmark MVU on dataset X
%
% [mappedX, mapping] = lmvu(X, no_dims, k1, k2)
%
% The function performs Landmark MVU on the DxN dataset X. The value of k1
% represents the number of nearest neighbors that is employed in the MVU
% constraints. The val... |
5a8eaf75126c95bb53601b73ab761c742fc58878e16879ec6d46bbf3490ac813 | MATLAB | 8,569 | 228 | function [ ALTLAB, act ] = cv_Label_config(ALTLAB, defaultsfl)
global NM
altlabflag = 0;
newlabel = 'no label defined';
newlabelname = 'no name defined';
newmode = 'no new mode defined';
newgroupnames = [];
if ~exist('defaultsfl','var') || isempty(defaultsfl); defaultsfl = false; end
if ~defaultsfl
if isfield(A... |
632978466f4bd54f8da64c39ebf462ca27090d2c318986ee001b53f5d9996dea | MATLAB | 8,612 | 317 | %% FUNCTION Logistic_CASO
% Convex-relaxed Alternating Structure Optimization with Logistic Loss.
%
%% OBJECTIVE
% argmin_{W,M,C} { sum_i^t (- sum(log (1./ (1+ exp(-X{i}*W(:, i) - Y{i} .* C(i)))))/length(Y{i}))
% + rho1 * eta (1+eta) trace(W' (eta I + M)^-1 W)
% subject to: trace (M) = k, M \preceq I... |
41f5a81000c2cf34b80cf9920a4dbac95a15772780bce494ef13c6db3489215f | MATLAB | 8,639 | 357 |
% -------------------------------------------------------------------------
% Function: out=preprocessing(X,method)
% -------------------------------------------------------------------------
% Aim:
% Data preprocessing
% ------------------------------------------------------------------------
% Input:
% X, matrix (n... |
4f3e3b68696a7f2be718b64bda5f5a4cc7f085cbe40eb022d56db39d0bec9ea3 | MATLAB | 8,675 | 251 | % ========================================================================
%> @class JzmqCrossProcessTest
%> @brief Cross-process ØMQ tests using a secondary MATLAB instance.
%>
%> Spawns a detached headless MATLAB (`matlab -batch`, optionally under
%> xvfb-run) running jzmqBatchServer as an independent ØMQ peer, then
... |
d65216c9ba73df935617ce52876e933002771e7e4197e8928a2891d43e396b20 | MATLAB | 8,714 | 189 | clear all;
close all;
fclose all;
dbclear all;
%=================================================================
% environment setting
%=================================================================
%addpath /proj/weitangc/users/weitangc/matlab_lib/ice_master_vd13;
addpath(genpath('/proj/weitangc/users/weit... |
aec1a7087e9c8abdca1dfb6fa5963fb78f4065970f9446bf4cc8cc44bd682056 | MATLAB | 8,765 | 189 | function [count] = countconnected5graphlets(A, L)
% Count all 5-node connected subgraphs in an undirected graph
% without node labels and with unweighted edges
% Author: Nino Shervashidze - nino.shervashidze@tuebingen.mpg.de
% Copyright 2012 Nino Shervashidze
%
% Input: A - nxn adjacency matrix
% L - 1xn cell array ... |
70b5590eb2ff2dc35812069b44b6534afba85eada5da77f1b48e9fd3c45e4e2f | MATLAB | 8,773 | 154 | function [ pl2 ] = PL2ReadFileIndex( filename )
% PL2ReadFileIndex( filename ): reads pl2 file index.
% Displays error if the file does not exist.
% This function is not called directly by PL2* functions.
% Use PL2GetFileIndex(filename) instead.
% PL2GetFileIndex caches file indexes so it works f... |
446c3547f76b9a4eb0551b18eba092bcb0ee4ae51ae26730200da87d883af6b6 | MATLAB | 8,784 | 243 | function varargout = subsref(opt,subs)
% Subscript referencing
%
% Fields are:
% dat - a file-array representing the image data
% mat0 - a 9-parameter affine transform (from qform0)
% Note that the mapping is from voxels (where the first
% is considered to be at [1,1,1], to m... |
d4f81d5cb7801140406b4f92c57e4204a80b6f43469168eeb93b9ee9057e670a | MATLAB | 8,837 | 188 | function [W0, R] = null_model_dir_sign(W,bin_swaps,wei_freq)
%NULL_MODEL_DIR_SIGN Directed random graphs with preserved weight,
% degree and strength distributions
%
% W0 = null_model_dir_sign(W);
% W0 = null_model_dir_sign(W,bin_swaps);
% W0 = null_model_dir_sign(W,bin_swaps,wei_freq);... |
977369979a7fe21beedf50a0b9159ec749ab6f6d97256426b32f829e4b4d0008 | MATLAB | 8,849 | 200 | function cv_ExportModels(inp)
% =========================================================================
% FORMAT Results = cv_ExportModels(inp)
% =========================================================================
% The export module saves optimally trained model and preprocessing structures
% for each CV2 par... |
4da1ef75c9deedd32d403211ce40bfa2eb375ad888c8c1f93976ab6cfbd57e9f | MATLAB | 8,870 | 189 | function [early, respt, early2, respt2, situation, ARD_time, ARD_time2,...
STOP_ARD, STOP_MTL, stopTime, MTL_time, MTL_time2] = stop_signal(duration, win, stopdelay, S_time, red, serial, CUE_ARD)
%STOP_SIGNAL
% [EARLY, RESPT, EARLY2, RESPT2, SITUATION] = STOP_SIGNAL(DURATION, WIN, STOPDELAY, S_TIME, RED)
% ... |
96b9ef0b7c8a1e2a5d2223fac9d8eee5e6eb0a304282d27ef8edb844b80def31 | MATLAB | 8,883 | 222 | %> HSMTEST state configuration file for runExperiment.runTask — a
%> hierarchical (nested) version of DefaultStateInfo.m demonstrating
%> parent/child states via the `parent` column.
%>
%> Hierarchy:
%>
%> trial (parent) one entry/exit per trial
%> ├── fixate acquire fixation (inFixFcn -> ... |
21a843904fafefd7fc330a23fa1ca2dc5f37450d980694deb96006ebd1385ba8 | MATLAB | 8,893 | 280 | function practice_face_new (subject, window, screenNumber,width, height, session, pth, p1, p2, p3, ind, Practice_Matrix, Index_Matrix,h)
% check for Opengl compatibility, abort otherwise:
AssertOpenGL;
KbName('UnifyKeyNames');
KbCheck;
%escape = KbName('ESCAPE');
responseKey = 1; % X mouse button
% load ... |
b83ff3762e550133f815750636a701efc16493292f654a4a9dd4e8771e320d84 | MATLAB | 8,896 | 217 | % ========================================================================
%> @class GratingStimulusTest
%> @brief Class-based unit tests for gratingStimulus.
%>
%> Tests construction, property defaults, type list validation, contrast
%> clamping, colour handling, and phase/TF/SF properties. CI-safe tests
%> run withou... |
c362e59f67f080c94b841e54e400c781ed07b9bfc8eee2f586a7593d70bcaad4 | MATLAB | 8,898 | 205 | %component maps, dipoles and power spectra in a cluster (only one subject in a plot)
%run after finishing running DR_PlotCompPowerDipole
%% set parameters (initialize)
clear all;
try
close(4001); %dipole (final)
end
try
close(4002); %dipole (tmp)
end
try
close(4003); %component map
end
try
cl... |
ecb005816f6c59d8c4a2021e9b33a8b31f993985c1b50e1043561fd9bbb5efcb | MATLAB | 8,962 | 268 | %DUMPMSGPACK dumps Matlab data structures as a msgpack data
% DUMPMSGPACK(DATA)
% recursively walks through DATA and creates a msgpack byte buffer from it.
% - strings are converted to strings
% - scalars are converted to numbers
% - logicals are converted to `true` and `false`
% - arrays are converted t... |
4af4df304e14804c3deeeb8943bdf9c8540ed83dc4abadd8b63ee1f0166e3cc4 | MATLAB | 8,968 | 203 | function [Emtx_all Emtx_perch] = gen_mb3d_encodemtx_i2k(sentiv_map, flag_ref, pae_idx, grp_idx, fe_idx, header, varargin)
%function [Emtx_all Emtx_perch] = gen_mb3d_encodemtx_i2k(sentiv_map, flag_ref, pae_idx, grp_idx, fe_idx, header, varargin)
%
% Wei-Tang Chang, UNC-Chapel Hill
% May 28, 2019
%
% Usage : generate... |
110543c6afd331046aff21c8fe105018c995aebbfee1b402721109bb50a1461a | MATLAB | 8,993 | 227 | function [VIS, act] = nk_Vis_config(VIS, PREPROC, M, defaultsfl, parentstr)
global NM EXPERT
if ~exist('defaultsfl','var') || isempty(defaultsfl), defaultsfl=0; end
if ~exist('M','var') || isempty(M), M=1; end
thresh = 0; fwhm = []; flgProj = false;
PERM = struct('flag',0,'nperms',1000,'sigflag',0,'sigPthresh',0.05, ... |
12f55c153a69dc418b1be532f4d55ba893ab07352a2cdaaa0b1a1f10b7226d2e | MATLAB | 8,993 | 241 | function no_dims = intrinsic_dim(X, method)
%INTRINSIC_DIM Eestimate the intrinsic dimensionality of dataset X
%
% no_dims = intrinsic_dim(X, method)
%
% Performs an estimation of the intrinsic dimensionality of dataset X based
% on the method specified by method. Possible values for method are 'CorrDim'
% (based on... |
1d83ec20881144f6ad3839ccc0ea00bcd4a805eae3d67c0a18713e37fa516241 | MATLAB | 9,049 | 280 | function [Matching,Cost] = Hungarian(Perf)
%
% [MATCHING,COST] = Hungarian_New(WEIGHTS)
%
% A function for finding a minimum edge weight matching given a MxN Edge
% weight matrix WEIGHTS using the Hungarian Algorithm.
%
% An edge weight of Inf indicates that the pair of vertices given by its
% position have no adjacen... |
056b776268343336a8e32c713d66e6bca762336e53d9ae54be64221515871b7e | MATLAB | 9,058 | 204 | function summarytable = Output2Table(outputs,writeout,filename,filepath)
fldnames = fieldnames(outputs);
if nargin < 4
filepath = cd;
if nargin < 3
datestr = date;
if ~ismember('endm',fldnames)
filename = ['summary_Nexis_mouse_' outputs.ndm.Full.init.study...
'_globa... |
4ae5fe18eada967afbe89d3e0f9f644ee5659d22954e437098e1dd15183924f4 | MATLAB | 9,079 | 237 | % ========================================================================
%> @class MetaStimulusTest
%> @brief Class-based unit tests for metaStimulus.
%>
%> Tests construction, stimulus management (add/show/hide/showSet),
%> cell indexing, n/nMask dependent properties, mask handling,
%> stimulusSets, edit, and reset.... |
985cbcf2a05f60311e614c87624444fa0269eb0a6be5b5d0b823ae36ff8776da | MATLAB | 9,079 | 237 | function [sY, IN, dT] = nk_PerfAdjForCovarsUsingPCAObj(Y, IN, S)
% =========================================================================
% function [adjT, IN] = nk_PerfAdjForCovarsUsingPCAObj(T, IN, S)
% =========================================================================
% ----- INPUTS -----
% Y : ... |
e397b421f2562f6ef2d149d3f5dad413db409ddfad091399ecb3ba1479a05d32 | MATLAB | 9,085 | 196 | function [ act, param ] = nk_GreedySearch_config(param, SVM, MULTI, defaultsfl, parentstr)
% Minimum # of features
GreedySearch.Direction = 1;
GreedySearch.EarlyStop.Thresh = 50; % Early stopping criterion
GreedySearch.EarlyStop.Perc = 1; % Early stopping mode = percentage
GreedySearch.WeightSor... |
062b146a03304ff21e61a16e89d95557b69e4ad9fa4759837648c41529550b48 | MATLAB | 9,094 | 250 | classdef KKwikCutter < MClust.Cutter
%
% Select clusters from those generated by KKwik
%
% Version control: ADR-2013-12-12
properties
figHandle_AvgWV = [];
figHandle_ISI = [];
whoHasFocus = [];
whoHasComparison = [];
nextClusterButton = [];
... |
4a66e07564a5a126f7b4f6e880fe66aa7ade3c649ef8db83742faaee5e1d6bc4 | MATLAB | 9,138 | 122 | function opts = palm_defaults
% Set up PALM defaults.
%
% _____________________________________
% Anderson M. Winkler
% FMRIB / University of Oxford
% Oct/2014
% http://brainder.org
% - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
% PALM -- Permutation Analysis of Linear Models
% Copyright (C... |
9644a13b00d00fbe47aabf0670cc6cd7944e8fb8692d27f2f6561345382c00c6 | MATLAB | 9,156 | 319 | classdef parseOpxSpikes < handle
%parseOpxSpikes Summary of this class goes here
% Detailed explanation goes here
properties
stimulus
end
properties (SetAccess = private, GetAccess = public)
sValues %stimulus list
sMap %stimulus index
sIndex %stimulus number sent to be strobed.
trialTime
thisRun = ... |
854ff715c09ce3c57a30641d5e0fe08b6b5eff64128cb542c150340b7ec99095 | MATLAB | 9,166 | 294 | function wcoh_map_RT
%WCOH_MAP_RT Correlation map between reaction time and wavelet coherence map
% WCOH_MAP_RT calculates trial-by-trial correlation (Pearson's correlation)
% between reaction time and wavelet coherence map of each patient.
% Significant correlation tested by TTEST on the level of individu... |
f7914fa2ce5cf02387d5b32097785fff2f84136351914d6caa23e2837d7d2785 | MATLAB | 9,186 | 235 | function PC_pie(event,plot_win,fr_name,downsamp,PC_win,alpha,rectype,chanmean,subregion,PCdir,groups)
%PC_PIE Pie chart of significantly phase-coupled units
% PC_PIE(event,plot_win,fr_name,downsamp,PC_win,alpha,rectype,chanmean,subregion,PCdir)
% draws a pie chart respresenting the percentage of significantly
% ... |
308953e28a74830b092a62937f7c408cf9644427eb6a75b2caab62419097afa5 | MATLAB | 9,219 | 269 | function varargout = splash(varargin)
%SPLASH Creates a splash screen.
% SPLASH(FILENAME,FMT,TIME) creates a splash screen using the image from the
% file specified by the string FILENAME, where the string FMT specifies
% the format of the file and TIME is the duration time of the splash
% screen in millisecon... |
3d7859fe859ae18b2b0486ec436bf13c99a5b796ff1a3d445a47c7566363f8f7 | MATLAB | 9,232 | 190 | function CreateMainWindow(self, MCS, MCD)
% MClustMainWindowClass : CreateMainWindow
%
self.MClustMainFigureHandle = figure(...
'Name','MClust', ...
'NumberTitle','off', ...
'Tag','MClustMainWindow', ...,
'Resize', 'Off', ...
'Units', 'Normalized', ...
'HandleVisibility', 'Callback', ...
'... |
f129ef37e4e9cdeeb32f6db2762bab147c99f3f0ad503ad220949d59f2680260 | MATLAB | 9,263 | 143 | function runFaceNew()
% to experimental trials via face_exp_new(...), to practice session via practice_face_new(...)
sca;
close all;
clearvars;
if strcmp(computer,'PCWIN')
warning off MATLAB:DeprecatedLogicalAPI;
end
% check for Opengl compatibility, abort otherwise:
AssertOpenGL;
h = IOPort('O... |
775fe310d63e2c1663f8c9ddedf4b231b4de985e855d3544f7f87291934917ae | MATLAB | 9,283 | 289 | %% analyze_TTS_3R3X.m
% Analyze 3R3X TTS data and reproduce SBM-style scaling plots and table.
clear; clc;
%% Parameters
scale_factor = 1e-8; % iterations -> seconds
quantiles_q = [0.25, 0.50, 0.75];
% If you want to restrict which sizes N to use in the fit, set these indices.
fitIdx_for_all_q = []; %... |
ecc3d0caee11666f287632b7e160e8b7d31a19c1e6a990431d401aedc06d7b2c | MATLAB | 9,287 | 173 | function [act, param] = nk_Filter_config(act, param, SVM, MODEFL, MULTI, defaultsfl, parentstr)
global NM
%
% Defaults:
% ---------
Filter.flag = 0; % Activate feature filtering
Filter.MinNum = 1; % Minimum # of features
% Default ranking method
switch MODEFL
case 'classification'
Fil... |
bfed4082769282be9003e11c44c59713250bd99cd2b25ad6c56804bd403cc95c | MATLAB | 9,318 | 305 | function beta = lars(X, y, method, stop, useGram, Gram, Cardi, trace)
% This function is provided at
% http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=3897
% I have made some small modifications -- Deng Cai, Feb/2008
% LARS The LARS algorithm for performing LAR or LASSO.
% BETA = LARS(X, Y) performs... |
b8f9553b08461993b21a83e2e8501b721a06eb9791bf6aeb13ed1586b67ae1e1 | MATLAB | 9,346 | 266 | function [psth_RR] = norm_psth_map1(cellids,resptype,alignevent, varargin);
%NORM_PSTH_MAP1 Normalized peri-event time histogram (PSTH) plot
% [psth_RR] = NORM_PSTH_MAP1(cellids,resptype,alignevent,...)
% Calculates smoothed PSTHs for each unit in CELLIDS (for details see ULTIMATE_PSTH).
% Performs baseline no... |
58f86281aec16bb72a72428787f018724107f6872b24906a001d7914c51f70b9 | MATLAB | 9,354 | 306 | classdef audioManager < optickaCore
% AUDIOMANAGER Connects and manages audio playback, set as global aM from runExperiment.runTask()
properties
device = []
fileName char = ''
numChannels double = 2
frequency double = 44100
lowLatency logical = false
latencyLevel = 1
%> this allows us to be used ev... |
000888440a6680bf784a0116581f482bf25da08c327633d0972cd05198d00c66 | MATLAB | 9,384 | 222 | function [auc, labels] = colAUC(X, y, varargin)
%COLAUC calculates Area under ROC curve (AUC) for a vector or for each
% column of a matrix.
%
% SYNTAX:
% auc = colAUC(X, y) - calculates AUC for each column of X
% auc = colAUC(X, y, alg) - calculates AUC for each column of X using
% ... |
576f91286897434499b327e9c9cf2fe6d2df8011ad463eb1df82e15795833a35 | MATLAB | 9,425 | 201 | function [sY, IN] = nk_PerfImputeObj(Y, IN)
% =========================================================================npu
% FORMAT function [sY, IN] = nk_PerfImputeObj(Y, IN)
% =========================================================================
% Performes imputation using either single-subject median replacemen... |
38605c04fe8a812197f1ac4d6e8518a4fbf86cc27a136341aba0d5cab502b2ba | MATLAB | 9,429 | 287 | function [cluster,exp] = startleClustergram(exp,varargin)
p = inputParser;
p.addRequired('exp',@(x) isstruct(x) || exist(x,'dir'));
p.addParameter('lights',{'on','off'},@iscellstr);
p.addParameter('normalize',1,@(x) islogical(x) || isnumeric(x));
p.addParameter('normSearch',{'wt' '+'},@iscellstr);
p.addParameter('overw... |
1a37946c546ba6da1e60730e5798660338411ddb6273eb15d8985f02e8fe3de9 | MATLAB | 9,444 | 281 | %JORDI RFMAP state configuration file, this gets loaded by opticka via runExperiment class
% io = datapixx (digital I/O to plexon)
% s = screenManager
% sM = State Machine
% eT = eyelink manager
% lJ = LabJack (reward trigger to Crist reward system)
% bR = behavioural record plot
% me.stimuli = our list of stimuli
% tS... |
2444991c3b6c7d7e43bdbb8352fdb868f6ffc00df7f399ffe4665dca294c57b4 | MATLAB | 9,463 | 351 | % SPARSEBAYESDEMO Simple demonstration of the SPARSEBAYES algorithm
%
% SPARSEBAYESDEMO(LIKELIHOOD, DIMENSION, NOISETOSIGNAL)
%
% OUTPUT ARGUMENTS: None
%
% INPUT ARGUMENTS:
%
% LIKELIHOOD Text string, one of 'Gaussian' or 'Bernoulli'
% DIMENSION Integer, 1 or 2
% NOISETOSIGNAL An optional positive number to speci... |
c61d1ad86348972b6c3c70da43b3eba46c973f9188de0419b72ea60fa92a7f84 | MATLAB | 9,474 | 287 | function comp_vals = PC_RT_correlation(param,event, fr_name, chanmean, rectype, group, dominantfreq,PC_win, ds,plot_win,unit_group )
%PC_RT_CORRELATION RT/SSDp0.5 correaltion with spike-phase coupling (SPC)
% PC_RT_CORRELATION(param,event, fr_name, chanmean, rectype, group, dominantfreq,PC_win, ds,plot_win )
... |
750a116a608391c3c34a3fa42fc94d7b4675f3ec2b378f4aa348803ddd953809 | MATLAB | 9,513 | 241 | %DOT COLOUR state configuration file, this gets loaded by opticka via runExperiment class
% io = datapixx (digital I/O to plexon)
% s = screenManager
% sM = State Machine
% eT = eyelink manager
% lJ = LabJack (reward trigger to Crist reward system)
% bR = behavioural record plot
% obj.stimuli = our list of stimuli
% tS... |
e778f33bc6b977d5e72abd2f043953248b6f56b31f3ae7697e935eb59cd62270 | MATLAB | 9,537 | 233 | %power RT (single and clustered)
%This version: 200903 by poem
%% set parameters (initialize)
clear all;
SL = '\';
FilePath = '';
if isunix
mypath;
FilePath = '~/liang/RS/'; %directory
SL = '/';
end
DR_PBase_setup; %load setup file
%datasets
PLOT_SET = {
's01_061102'; %motionless
... |
eb32b8a42a4d8d8e6b373b34a1a31bda719f06246ae38ef012be684a1080f713 | MATLAB | 9,568 | 253 | function save(this,filename,encoding)
% Save GIfTI object in a GIfTI format file
% FORMAT save(this,filename,encoding)
% this - GIfTI object
% filename - name of GIfTI file to be created [Default: 'untitled.gii']
% encoding - optional argument to specify encoding format, among
% ASCII, Base64Binary, ... |
b9895f384e7754dc77a16a78b488ad1ac7e2270be75ffda5ffe95b4356962837 | MATLAB | 9,575 | 279 | %% build_decomp_benchmark_dataset.m
% Decomposition benchmark dataset builder (125 Hz, 2 s epochs).
%
% Required variables in workspace BEFORE running:
% EEG_all_epochs [N_eeg x T_src] : clean EEG epochs
% EOG_all_epochs [N_eog x T_src] : ocular artifact epochs
% EMG_all_epochs [N_emg x T_src] : muscle artifac... |
dcdb12075d42b65d16d31c8b8b35819e185deb11ee05c6a989cdba0530027a7c | MATLAB | 9,580 | 258 | clear all
close all
% for monkey=2
% if monkey==1
% monkey_name='Jupiter';
% elseif monkey==2
% monkey_name='Mercury'
% end
% n=0;
% n2=0;
% n_TOJ_only=0;
% n_video_only=0;
% n_video_TOJ=0;
% data_name=[monkey_name,'_stepwiseGLM_result.mat'];
% ... |
a8cd2d1f586d40c92ec2de203e570b5bd0826c2b9d085135dd7682764c995b78 | MATLAB | 9,610 | 231 | %% Dynamic coding using NDT: you need to download the Neural Decoding Toolbox from https://readout.info/
clear; clc;
% add the path to the NDT
toolbox_basedir_name = '...\ndt.1.0.4\';
addpath(toolbox_basedir_name);
% add the NDT paths using add_ndt_paths_and_init_rand_generator
add_ndt_paths_and_init_rand_gen... |
aecd0e08ab4a3e1c086f07a9bce25efd04002a7816fe5cc0f7b333f900a92e8e | MATLAB | 9,640 | 262 | %% 0. Setup
% Initialization
clear; close all; clc;
% Add folder with raw data to path
addpath('C:/Users/chait/Documents/NOTES/CHAI/UCSF/Raj_Lab/NDM/eNDM-master_genes_new/raw_data_mouse')
% Add library with eNDM functions to path
addpath('C:/Users/chait/Documents/NOTES/CHAI/UCSF/Raj_Lab/NDM/eNDM-master_genes_new/l... |
8ecb0b94230b950c664f796de2e5bcd0204f1efe700023adf5bda6ef0b0e1429 | MATLAB | 9,656 | 324 | clear
%% get all vals for shifts
load('ProcessedData\PreProcessed.mat');
vals_corrShifter = [];
for day = 1:5
for animal = 1:16
vals_corrShifter = [vals_corrShifter,Delay_byDay{1,day}{animal,1}];
end
end
vals_corrShifter(vals_corrShifter>34 | vals_corrShifter<2) = NaN;
vals_corrShifter(val... |
6d4b43fb655b5e8867dda693fc27c98e4c71fb3b5c2869d45bb4ecfbfaca8d40 | MATLAB | 9,665 | 205 | function [X, L] = nk_CompatY(NM, varind, oocvind, FUSION, stacking_flag)
% =========================================================================
% FORMAT [X, L] = nk_CompatY(NM, varind, oocvind)
% =========================================================================
% This function extracts the feature space fr... |
4f8f86e5a9d1107b85a5e0ae8b4a5f7e1f4358ad973a5897a40c4f513ff09644 | MATLAB | 9,770 | 344 | function unit_bursting(EventTypes,partition,parttags)
%UNIT_BURSTING Analysis of bursting properties of units
% UNIT_BURSTING(EventTypes)
% -generates an auto-correlogram map (with units
% sorted based on bursting indeces (BI) ), averaged auto-correlograms and
% a pie chart of bursting an... |
1f378cb968bce22003d9a5f79f4941c65d9010ac0dddc5a8bd7614882acb74b4 | MATLAB | 9,846 | 250 | clear all
close all
setup_paths;
for monkey=1
if monkey==1
monkey_name='Jupiter';
elseif monkey==2
monkey_name='Mercury';
end
[num,txt,session_name]=xlsread('Session_name.xlsx',monkey_name);
filename_marker=[monkey_name,'_stage2_nonprimate_marker_organized.xlsx'];
filename_spike... |
b9a0fea11c7708a69dd74ad336f182d57a143a79b0eb2ee6fcde3ebcf19d23d8 | MATLAB | 9,882 | 269 | %% 0. Setup
% Initialization
clear; close all; clc;
% Add folder with raw data to path
% addpath('C:/Users/chait/Documents/NOTES/CHAI/UCSF/Raj_Lab/NDM/eNDM-master_genes_new/raw_data_mouse')
addpath('/Users/justintorok/Documents/MATLAB/eNDM/lib_eNDM_general/');
addpath('/Users/justintorok/Documents/MATLAB/eNDM/raw_d... |
cf653407ad552317c898b5bda33bda505312b68fc975d2b55fc6c17279423753 | MATLAB | 9,885 | 311 | % ======================================================================
%> @brief DataPixx Communication Class
%>
%> The DataPixx (VPixx Technologies Inc.) is a robust stimulus timing tool,
%> allowing microsecond precision of strobed words and TTLs locked to display onset.
%> It also enables better contrast range m... |
9db58266aaae3a1ed23566b0f8840286c3aef26f94a5983c48f054f26eab9fc5 | MATLAB | 9,917 | 209 | function [out, fnd, out2, out3, out4] = nk_CheckLoadFile(pth, filetyp, f, d, ovrwrt, nclass)
global FUSION
% Check file type
a = regexp(filetyp,'CVdatamat','ONCE'); if ~isempty(a), a=1; else a=0; end
nvar = size(pth,1); % get number of variates
out = []; fnd = false; out2=[]; out3 = [];
if ~exist('ovrwrt','var') || ... |
0bb4e39ba0d41b7b9c2f7aa7c173fbddd4def2617048593f52f33f8acf531372 | MATLAB | 9,928 | 301 | function upd = textprogressbar(n, varargin)
% UPD = TEXTPROGRESSBAR(N) initializes a text progress bar for monitoring a
% task comprising N steps (e.g., the N rounds of an iteration) in the
% command line. It returns a function handle UPD that is used to update and
% render the progress bar. UPD takes a single argument... |
d0af435dcf399afc8ade528ad58a153aa9da71b0fa09064299225b6c31f310d8 | MATLAB | 9,928 | 250 | function t_point = out_of_sample(point, mapping)
%TRANSFORM_SAMPLE_EST Performs out-of-sample extension of new datapoints
%
% t_points = out_of_sample(points, mapping)
%
% Performs out-of-sample extension of the new datapoints in points. The
% information necessary for the out-of-sample extension is contained in
% ... |
1c6efee862327ee4e1948b03cf92a6726f8032d0eb4e67e933c5797dc3651432 | MATLAB | 9,943 | 258 | function [propname_stat, propname_boxstat] = responsesorter_PD(pdcells, resdir, tag, twin, issave,excl_beforeEv,isfig)
%RESPONSESORTER_PD Tests event-related activation/ inhibition
% [propname_stat, propname_boxstat] = responsesorter_PD(pdcells, resdir, tag, twin, issave)
% -Plots PSTHs and raster plot... |
7fce8b4a64823607df12833e60d84bbe3374943bfe25ca8b4822b5086c356cc8 | MATLAB | 9,962 | 183 | function [testClassPredicted,classPerform,OtherOutput]=classification(trainSet,trainClass,testSet,testClass,method,option)
% Classification using NNLS, BNNLS, NMF, RNMF, KNN, SVM, Bayesian, Kernel-FDA (for future extension), or Optimal-Kernel-FDA (for future extension) classifiers.
% Usage:
% [testClassPredicted,classP... |
e7dee515c076c936631352bf21513d2bfce8797bc6d71317d996d03529410f69 | MATLAB | 9,963 | 283 | function Ptree = palm_tree(B,M)
% Generates a tree that takes the dependence structure
% between observations into account. From this tree, the
% permutations can be generated later.
%
% Usage:
% Ptree = palm_tree(B,M)
%
% - B : Multi-level block definitions.
% - M : Design matrix.
% - Ptree : Permutation... |
15cda5dd615c1fac64873c4d7f4f02edf77a2d0233a10c4db7b24014ab2236c3 | MATLAB | 10,011 | 306 | % DR_pop_loadcnt() - load a neuroscan CNT file (pop out window if no arguments).
% NO EVENT
%
% Usage:
% >> EEG = pop_loadcnt; % pop-up window mode
% >> EEG = pop_loadcnt( filename, 'key', 'val', ...);
%
% Graphic interface:
% "Data fomat" - [checkbox] 16-bits or 32-bits. We couldn't find in the
% ... |
0eb3dc16177876ff4211ccfd6e621075104be401598a8ca65cb82d9b9e8c5bf7 | MATLAB | 10,015 | 258 | clear all
close all
setup_paths;
for monkey=1
if monkey==1
monkey_name='Jupiter';
elseif monkey==2
monkey_name='Mercury';
end
[num,txt,session_name]=xlsread('Session_name.xlsx',monkey_name);
filename_marker=[monkey_name,'_stage2_nonprimate_marker_organized.xlsx'];
filename_spike... |
173d1a22e467b0411e3368dd9ef77405b488f6291d2f05660f190e37733478ac | MATLAB | 10,015 | 249 | % ========================================================================
%> @class AnimationManagerTest
%> @brief Class-based unit tests for animationManager.
%>
%> Tests construction, property defaults, body management (addBody,
%> getBody), nBodies/nObstacles dependent properties, massType
%> initialization, and bo... |
9eb4f8922fc35262f858b0e450ae7a960f3623f861b364b14817795fc7bf6a91 | MATLAB | 10,028 | 316 | % -------------------------------------------------------------------------
% Laminar qT1 Profile and Derivative Analysis (CSF → WM)
%
% This script:
% 1) Loads subject-wise laminar profiles (qT1, dqT1, ddqT1) across 8 bins.
% 2) Flips LAYNII-order vectors (often WM→CSF) to CSF→WM for presentation.
% 3) Plo... |
b56db4b0e927779fcd3f244d8c75cd9f2203f2eab1d7880b1f76f4ca4d8709d8 | MATLAB | 10,058 | 245 | function [trainExtr,out,time]=featureExtractionTrain(trainSet,testSet,trainClass,feMethod,opt)
% Extract features from training set
% Usuage:
% [trainExtr,out]=featureExtractionTrain(trainSet,trainClass,feMethod)
% [trainExtr,out]=featureExtractionTrain(trainSet,trainClass,feMethod,opt)
% trainSet, matrix, the training... |
11d4692f8a763d6c8932b4d007d83c4188eab46bd37a945bdb17762411e5046e | MATLAB | 10,071 | 273 | %% 请deepseek整合了一下代码 可以一起出6张统计图并print 25 50 75 100分位值
% STEP1 load data
clc;
clear;
close all;
filepath ='D:\930_paper_plotting\Unit_info\Unit_info\Unit_info_SU_patients_extend';
filenames = dir(fullfile(filepath, "*.mat"));
fs = 25640;
% 筛选以"Unit_info"开头的文件
filtered_files = filenames(startsWith({filename... |
b455b5b9ba9d6ead13ce361ac71ff27af81df09bfc1ced585fa83ee969139061 | MATLAB | 10,074 | 275 | %% 0. Setup
% Initialization
clear; close all; clc;
% Add folder with raw data to path
addpath('C:/Users/chait/Documents/NOTES/CHAI/UCSF/Raj_Lab/NDM/eNDM-master_genes_new/raw_data_mouse')
% Add library with eNDM functions to path
addpath('C:/Users/chait/Documents/NOTES/CHAI/UCSF/Raj_Lab/NDM/eNDM-master_genes_new/l... |
d4430b3854d7d3f29c499f027e27ab5df22546ec653a62e433ce3bcc82bc3910 | MATLAB | 10,090 | 252 | function [bayesdata,estimators] = combat(dat, batch, mod, estimators)
% This function was originally sent to Dom Dwyer from Russel Shinohara and
% is based on the following papers and the git repo below:
% Jean-Philippe Fortin, Drew Parker, Birkan Tunc, Takanori Watanabe, Mark A Elliott, Kosha Ruparel, David R Roalf, ... |
4fbbf405f6523de9829c6c9d4d5b7a8dedea01512d1bc825644a02af14fb8d8c | MATLAB | 10,091 | 174 | %% Demo of a state-machine-driven Opticka Behavioural Experiment.
% Opticka is an object-oriented framework for the Psychophysics toolbox
% (PTB), allowing randomised interleaved presentation of parameter varying
% stimuli specified in experimenter-relevant values. It operates under
% Linux (PTB's preferred OS), macOS... |
0e260bb67b4dad49c6c45cbfd55fd7dc86daaa9ec7de9addc6575d7f33c765b3 | MATLAB | 10,107 | 282 | function [act,param] = nk_LIBSVM_config(res, param, defaultsfl, cvfl, parentstr, modeflag)
if ~exist('defaultsfl','var') || isempty(defaultsfl), defaultsfl=0; end
if ~exist('cvfl','var') || isempty(cvfl), cvfl = 0; end
if ~exist('param','var') || ~isfield(param,'LIBSVM'), param.LIBSVM = []; end
if ~exist('modeflag', '... |
c46a4bf24cbe79678b08521eb2b2cd64ac4c364191dd8ac7b19440154c7c3b8b | MATLAB | 10,116 | 301 | % Plot deviation, for Drowsiness
% Required input: event file (subj_ExpDate_event.txt)
% Output: subj_ExpDate_driving_err.mat, containing moving averaged trajectory and latency
% by poem, 20080430
% clear all;
FilePath = '';
if isunix
mypath;
% FilePath = '~/Drowsiness/';
FilePath = '~/liang/';
SL = '/';
end
%... |
9fabc8b80642427ea9c6e75c9a9e7ea1cff2d6ec0497140d7e825660b0958f6a | MATLAB | 10,117 | 259 | function [A, bcol] = print2array(fig, res, renderer, gs_options)
%PRINT2ARRAY Exports a figure to an image array
%
% Examples:
% A = print2array
% A = print2array(figure_handle)
% A = print2array(figure_handle, resolution)
% A = print2array(figure_handle, resolution, renderer)
% A = print2array(figure_handle... |
7dad43e5189339e1110fab5691469634e50f1e2cb6989ecc80d189ac32df63bc | MATLAB | 10,133 | 262 | % ========================================================================
%> @class BaseStimulusTest
%> @brief Class-based unit tests for baseStimulus base class behaviours.
%>
%> Tests the shared baseStimulus methods (colour, alpha, show/hide,
%> setOffTime, setDelayTime, fullName, UUID, updatePosition, getP)
%> usin... |
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