sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
ecc17424923e6220068734d8d898501c1e5923d328b4493cab8f43408cd2f1fb | MATLAB | 1,797 | 48 | clear
addpath('../../')
% Load two EEG time-series data
alpha_eeg = load('data/alpha_eeg.mat').first_eeg;
gamma_eeg = load('data/gamma_eeg.mat').second_eeg;
%create an EMCM object
emcm = EMCM();
alpha_number = 1;
gamma_number = 2;
% Assign the time-series to the object
emcm.set_timeseries(alpha_number... |
67fdd94df1267ba860873030ace468028c36a670b63488f06111645ba59cbc34 | MATLAB | 1,798 | 69 | function [S,d_max] = cluster_center_k_greedy_Fnc(K,P,S,figFlag,MAXREPNUM)
%CLUSTER_CENTER_K_GREEDY k-greedy法でのクラスタを作り、その中心に近い点を選ぶ
% Lloyd's algorithmの移動場所が離散的になっているバージョン
% P : data points. #points * #dim matrix
% W : weight of each points. #points * 1 array.
% S : index of selected points
% S_w : total weight o... |
07891252ac503fc6361c38e1eea644b7f86b939d7ee6a1cfe63e090fa58b687e | MATLAB | 1,799 | 65 | function data = parseCompound(did, data)
%did is the dataset_id for the containing dataset
%data should be a scalar struct with fields as columns
if isempty(data)
return;
end
tid = H5D.get_type(did);
ncol = H5T.get_nmembers(tid);
subtids = cell(1, ncol);
ref_i = false(1, ncol);
char_i = false(1, ncol);
bool_i = fal... |
ad039a9517d2b87d53cedbbc23690e7e25ae78855cbb6b832b9bd3c31bfa7761 | MATLAB | 1,799 | 55 | % computeDFF.m
%
% Function that takes in background-subtracted fluorescence signal over
% time, performs bleaching correction (sum of two exponentials), and
% returns dF/F.
% For bleaching correction, fits sum of two exponentials to portion of
% fluorescence curve taken as input and uses it as F0 in dF/F = (F-F0)/... |
cb6b366dfbdc84dace3a8ea3c19e4474a29b9d3d0bc46004bda0df2369cdcfa8 | MATLAB | 1,799 | 63 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% hook up instructions %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Cerestim needs:
% % a power supply
% % a USB cable, plugged into the presentation computer on the rig
% % three NO GROUND blue cables from the back of the cerestim to the splitter boxes
% % a patient ground cable connected... |
12d3ccbb5daaaf582fa5a778a500ce754a65d1ff3c4d14ae3e39f0849e50688e | MATLAB | 1,800 | 70 | % mglPoints2.m
%
% $Id$
% usage: results = mglPoints2(x, y, size, color, isRound, antialiasing)
% by: Benjamin Heasly
% date: 04/17/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: plot 2D points on an OpenGL screen opened with mglOpen
% usage:... |
4b82cf65c232ca4e0c2106d12072801c6ae0083e9ab48aa737518dca67fdd71e | MATLAB | 1,800 | 62 | function [ Kappa ] = calc_curv_spline( Lambda, regularization, consistency, isLinear, plotflag)
% Calculate the curvature of the L-curve by using spline differentiation
% This function outputs the curvature Kappa.
%
% Parameters:
% Lambda: vector with regularization weight values
% regularization: vector with regulariz... |
ef70fe608a8be7be9e3f21f17102a627bb06d499682671ac0751862aceaa7010 | MATLAB | 1,800 | 33 | function fH = plotDeltaLMMregressionSlopes_v_pRFExp(deltasGroup,deltasSubj, ...
resampledCSTExp, deltaIdx, cmapROIs,saveFigs,saveFigDir)
fH = figure; set(gcf,'Position',[1 1 800 941]); hold all;
for idx = 1:size(deltaIdx,1)
prfSizeDiff = resampledCSTExp(:,deltaIdx(idx,1))-resampledCS... |
2f3ffab932b567dba51aa82522b6d78629a26f14cea366f26c32e8eb921b54d3 | MATLAB | 1,801 | 59 | clear;
% folder of the raw video
dir_video=fullfile('..','data','data_TENASPIS','added_refined_masks');
% name of the videos
list_Exp_ID={'Mouse_1K', 'Mouse_2K', 'Mouse_3K', 'Mouse_4K', ...
'Mouse_1M', 'Mouse_2M', 'Mouse_3M', 'Mouse_4M'};
%%
vid= 1; % 1:length(list_Exp_ID)
Exp_ID = list_Exp_ID{vid};
DirSa... |
7fdaa385468ef8a0dc0f763523645f33360f2a380dbbeba2640916b47f0de3aa | MATLAB | 1,801 | 62 | function y = any(x)
% ANY True if any element of a vector is a nonzero number or is
% logical 1 (TRUE). ANY ignores entries that are NaN (Not a Number).
%
% For vectors, ANY(V) returns logical 1 (TRUE) if any of the
% elements of the vector is a nonzero number or is logical 1 (TRUE).
% Otherwise it returns logical 0 ... |
9996046049dfef7fb1ce74d48b647e1f029195baafd63ef140013ed68215230b | MATLAB | 1,801 | 72 | function[out,h]=SONADCToDouble(in,header)
% SONADCTODOUBLE scales a SON ADC channel to double precision floating point
%
% [OUT {, HEADER}]=SONADCTODOUBLE(IN {, HEADER})
%
% Applies the scale and offset supplied in HEADER to the data contained in
% IN. These values are derived form the channel header on disc.
% ... |
5e5fb36dbce878990f29552dbab7920714e2a360afb5eec0ae86f1c212df13ee | MATLAB | 1,804 | 47 | function bg_params = check_bg_params(bg_params)
% bg_params = check_bg_params(bg_params)
%
% This function checks the elements of the struct bg_params to ensure
% that all fields are set. Fields not set are set to a list of default
% parameters. The struct checked is:
%
% - bg_params - Struct containing paramet... |
e717099c74d0525c5ff0ab9cab3c888a1b07b629d6d087d19810b8edec683cda | MATLAB | 1,804 | 34 | function plot_velocity_and_ellipse_ratio(stim_while_turning_peaks,current_rails_dur,dummy_array_with_velocity_info,dummy_array_with_ellipse_ratio_info,stim_color,negative_vel_threshold,ellipse_ratio_threshold,folder_index, track_index)
%%%% This function plots the velocity and ellipse ratio
light_pulse = area(... |
a68e44fe3e087dc4bea2259017e2c535274a7fa3a0ac7139e0b342e539ddf935 | MATLAB | 1,805 | 59 | % this function will call figure2_subplanels to create all 4 subplots of
% figure2.
%
% figure2(data_dir, read_from_excel)
% INPUTS:
% data_dir (str): Path to source data (default: 'source_data').
%
% read_from_excel (bool): Flag to read from Excel (true)
% or .mat files (false) (... |
ba2c81ac70080217c4a58f4577c7fe51df915299f4bc0eefe6b187a8e7893f14 | MATLAB | 1,805 | 64 | function handles = fix_FixUpdateFly(handles,fly)
% sets fly plot properties based on fly data
% splintered from fixerrorsgui 6/21/12 JAB
if isdummytrk(handles.trx(fly)),
return;
end
ii = handles.trx(fly).off+(handles.f);
if strcmpi(handles.plotpath,'all flies') || ...
(strcmpi(handles.plotpath,'seq flies') &... |
7174175ab2fb939431b29c576cf0d541926ddc375480392cdcd5cdc71c055812 | MATLAB | 1,806 | 50 | % mglBltTexture.m
%
% $Id$
% usage: mglBltTexture(texture,position,hAlignment,vAlignment,rotation)
% by: justin gardner
% date: 05/10/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Draw a texture to the screen in desired position.
%
% te... |
94e4d6ff787e9a0e9b98b64620bc51afa57a16821330e97c76c7133f8c300eeb | MATLAB | 1,806 | 61 | function [yData,betas,P,errors] = tsne_d(D, parameters)
%TSNE_D Performs symmetric t-SNE on the pairwise Euclidean distance matrix D
%
% [yData,betas,P,errors] = tsne_d(D, parameters)
%
% The function performs symmetric t-SNE on the NxN pairwise
% distance matrix D to construct an embedding with no_dims dimensions ... |
08cdd67530fc77cbba28fa4a4ab8bc88055701934b4753b4a50f7f9e454646d0 | MATLAB | 1,807 | 43 | function ret=SONSetWaveMarkChan(fh, chan, sPhyCh, dvd, bufsize, comment,...
chantitle, rate, scale, offset, units, points, pretrig, ntrace)
% SONSETWAVEMARKCHAN creates a REALMARK channel
%
% RET=SONSETWAVEMARKCHAN(FH, CHAN, SPHYCH, DVD, BUFSIZE, COMMENT,...
% CHANTITLE, RATE, SCALE, OFFSET,... |
4bf116088d3763c016eac403f12b65363448e8f3e3ba6e74dccf08cb29730e75 | MATLAB | 1,807 | 60 |
%# -*- texinfo -*-
%# @deftypefn {Function File} {} discrete_cdf (@var{x}, @var{v}, @var{p})
%# For each element of @var{x}, compute the cumulative distribution
%# function (CDF) at @var{x} of a univariate discrete distribution which
%# assumes the values in @var{v} with probabilities @var{p}.
%# @end deftypefn
func... |
d94fe2863ae19060e70165c7744e256e119902cf1953938f56249feb9a3bf49d | MATLAB | 1,807 | 46 | function working_background_file_name = core_tracker_fit_background_model(output_background_file_name, ...
input_video_file_name, calibration, ...
input_background_file_nam... |
4334938b4b8ceebb8ee2fe98154d944774ca705d5cec5c399d882da9c18bc704 | MATLAB | 1,808 | 47 | clear;
close all;
initime = clock;
addpath('funcs');
% get the change of PET in parameter space
Delta_e_start = 0.28; % cannot equal to 0
Delta_e_end = 0.28; % can equal to 0.5
Delta_i_start = 0.013; % cannot equal to 0
Delta_i_end = 0.05; % can equal to 0.5
Delta_steps = 101;
Iattn = 0.02;
time = 5000;
strt_prd = 30... |
d40ed0d93573596475e6ccc615f4c7aa4491be8f3ac45b9e6972d3b79a144cab | MATLAB | 1,808 | 52 | % wrapper for epoching skin conductance data
% uses eeglab
% https://sccn.ucsd.edu/eeglab/index.php
% version used here: eglab2019_0
close all
clear all
addpath '/data/pt_02306/main/code/github/pain-reliability-spinalcord/1_preprocessing/'
addpath '/data/pt_02306/main/code/github/pain-reliability-spinalcord/helper_func... |
ee3f1da42af0b83d41e327a9ca62ca411353fea7c2ae31b506cf72ec4ba06ba7 | MATLAB | 1,808 | 38 | % makeGaussian.m
%
% usage: makeGaussian
% by: justin gardner
% date: 09/14/06
% purpose: This function *name* is deprecated. Use mglMakeGaussian (same functionality)
% instead.
function m = makeGaussian(width,height,sdx,sdy,xCenter,yCenter,xDeg2pix,yDeg2pix)
% check arguments
m = [];... |
2da4bd35c0fd5ddb9e23c27534b3a5f55423f80793f8bfc493c6ebd7c49d7db8 | MATLAB | 1,809 | 41 | function [r_s,edges_s,edge_type,P] = stress_fibers(r_s,edges_s,edge_type,P)
% create nodes for the stress fibers at the bottom
aux = find(r_s(:,2) == min(r_s(:,2)));
aux = aux(1:2:end);
r_s_aux = r_s(aux,:) - [0 1*P.y0/2];
r_s_aux2 = r_s(r_s(:,2) == P.y0/2,:) - [0 2*P.y0/2];
r_s_aux3 = sort([r... |
3e5e390786b76deca68373996bb75b9ee3be57026a7da2e5f237f83ddb5ca4b6 | MATLAB | 1,809 | 45 | clear
%load F1s.mat
filenames = {'sim_0','sim_1','sim_2','sim_3','sim_4',...
'sim_5','sim_6','sim_7','sim_8','sim_9'};
radii = [4:8];
SNRs = [3:4:23];
[list_Recall, list_Precision, list_F1] = deal(zeros(length(filenames),length(radii),length(SNRs)));
parfor n = 1:(length(filenames)*length(radii)*length(SNRs))
[p,q... |
3fe735168452747574de843847124e05d1d7e55b4cf568d2956496961709fd50 | MATLAB | 1,809 | 36 | function [x_bounded, y_bounded, xedges, yedges, xi, yi, sxi, syi, ...
spikeCountMap, visitedCountMap, dwellTimeMap, ...
positionProbMap, meanFiringRateMap, ...
meanFiringRate, peakFiringRate, ...
informationRate, informationPerSpike, ...
dwellTimeMapSmoothed, meanFiringRateMapSmoothed, ...
meanF... |
7932079b070d16f305da1ff14851c0209ef92f73052ea36128523375ec30b43d | MATLAB | 1,809 | 56 | function [roll, pitch, yaw] = q2e(q0,q1,q2,q3)
% Convert quaternions to Euler angles
% Euler angles rotation sequence: z-y'-x'' (yaw, pitch, roll)
% The Euler angles rotation is intrinsic, i.e., rotate along new axes
% J. Chen, July, 2019
%
% Ref: https://en.wikipedia.org/wiki/Conversion_between_quaternions_and_Eul... |
268999ce31da81aace44fdb1848f84ecad26cf66c23e28e08ffcb7fa04e180b4 | MATLAB | 1,810 | 37 | clc;clear
% set FSL environment -- check without the last 4 lines
setenv('FSLDIR','/usr/local/fsl'); % this to tell where FSL folder is
setenv('FSLOUTPUTTYPE','NIFTI_GZ'); % this to tell what the output type would be
fsldir = getenv('FSLDIR');
fsldirmpath = sprintf('%s/etc/matlab',fsldir);
path(path, fsldirmpath);
cl... |
7e5d402e16fdf656a495fc0f87d065037de404e2775ca11fc2966b14cc70e2cf | MATLAB | 1,810 | 40 | %% mff_getObject.m
% Matlab File
% author Colin Davey
% date 3/2/2012, 12/3/2013
% Copyright 2012, 2013 EGI. All rights reserved.
% Support routine for MFF Matlab code. Not intended to be called directly.
%
% Returns objects of various types:
% com.egi.services.mff.api.MFFResourceType.kMFF_RT_Any
% com.e... |
9bf339a3e48e8e46a653020e983fc64ad853c81d203467b8d6a79da832b21488 | MATLAB | 1,810 | 53 | % wrapper for epoching skin conductance data
% uses eeglab
% https://sccn.ucsd.edu/eeglab/index.php
% version used here: eglab2019_0
close all
clear all
addpath '/data/pt_02306/main/code/github/pain-reliability-spinalcord/1_preprocessing/'
addpath '/data/pt_02306/main/code/github/pain-reliability-spinalcord/helper_fun... |
f02993e3e7ee8fbc23589c494e9df72ac9547ebedd635582aac2707e3b30ec8a | MATLAB | 1,810 | 47 | function [Pad_curves] = Shifting_padding_profile(profile, length_times)
%
% Function shifting the profile to the padded profile center based on
% the resultant peak location and padding profile with replicated
% padding method (along the temporal borders).
%
% Input: profile = profile ... |
2d95c2563712cd0c5e4650b2ccdfce2dd41b573e9f26cc828953f716c7458dd4 | MATLAB | 1,811 | 66 | function spk_delta = spk_t2delta(spk_t,data_len,msec)
% Function to produce a delta function from a list of spike times
%
% function spk_delta = spk_t2delta(spk_t,data_len,msec)
%
% Enter as arguement:
%
% t_spk = times of spikes in seconds - may be a vector or array
% arrays assume rows = trials
% data_l... |
02204309eb15c8e554e8b612839025833ffd40ca01334aa5606cdf49e9c60a7d | MATLAB | 1,812 | 52 | clear;
close all;
clc;
initime = clock;
addpath('funcs');
Delta_E = 0.3; Delta_I = 0.032; lateral = 0.1;
allTime = 4000;
steps = 201;
Iattn_start = 0.1; Iattn_end = 0.5;
strt_prd = 300000; end_prd = allTime/0.01;
% container
PETAsheet = zeros(steps,16,16,5);
PETOsheet = zeros(steps,16,16,5);
finalRsheet = zeros(ste... |
995e2f0ccb6578e06cd797ec324a9aa7c519d38d79eaa993b766c56e459d4ba6 | MATLAB | 1,813 | 54 | function D=distance_wei(G)
%DISTANCE_WEI Distance matrix
%
% D = distance_wei(W);
%
% The distance matrix contains lengths of shortest paths between all
% pairs of nodes. An entry (u,v) represents the length of shortest path
% from node u to node v. The average shortest path length is the
% characteri... |
40f7e22068b7025b7e527a774dc14a26e3fc9aaaa2f93f52b7246dbf2bc83165 | MATLAB | 1,815 | 52 | function [datsmooth] = ft_preproc_smooth(dat, n)
% FT_PREPROC_SMOOTH performs boxcar smoothing with specified length.
% Edge behavior is improved by implicit padding with the mean over
% half the boxcar length at the edges of the data segment.
%
% Use as
% datsmooth = ft_preproc_smooth(dat, n)
%
% Where dat is an Nc... |
502d04690b3c11a4e1bd44da1391cd84c0a8f47f8a7e1f95128cf122accc3c36 | MATLAB | 1,816 | 61 | function plot_cluster_performance (silhouettes,info)
mouse=info.mouse;
date=info.date;
if ismember('xtrafolder',fieldnames(info))
titlestr=[mouse,' ',date,' ',xtrafolder];
else
titlestr=[mouse,' ',date];
end
fullstring={titlestr};
%% statistics on silhouette scores
stdev=std(silhouettes);
average=mean(silh... |
96c51691e473a3abf7ef95663b5e90b811dcf204a1e3bdba4e67cad0f7a6258f | MATLAB | 1,816 | 51 | function out = simseq_checkVoxelCorrespondance(coords, selectedpRFs)
% Function check nr voxels of BOLD data and pRFs and make sure they correspond
% Check which hemispheres were dealing with
hemi = {};
if isfield(coords.pRFs,'lh')
hemi{1} = 'lh';
end
if isfield(coords.pRFs,'rh')
if isempty(hemi), hemi{1} = 'r... |
dd0a11d0e3e5165f75a58899765789fa3763a8e82363e60732ccfe610eee4ca1 | MATLAB | 1,816 | 41 | function [startTimes, endTimes] = extractSegmentTimes(folder)
%% This is a modified version of what was renamed as extractSegmentTimesXx.m
%% Setup
[~, file] = fileparts(folder);
chanlist = readSpikeFile(fullfile(folder,[file '.smr']),[]);
chanindsAll = [chanlist.number];
chaninds = find(arrayfun(@(x) any(strcmp(x.tit... |
eb73c5da9086222f8a4cac1555742d6c12e971f2e197f399f92742759a89350e | MATLAB | 1,816 | 51 | function [bestMap, bestCombination, metricValue] = best_flip_combinations_mutualinformation(maps)
numTrials = size(maps,3);
flipCombinations = flip_combinations(numTrials);
numCombinations = size(flipCombinations,1);
flipMetric = zeros(numCombinations,1);
flippedMap = zeros(size(maps,1), size... |
4523017f9bb25c39bbe6c3e2d92f8b35a0512ac1f5782f092f213b15d38c77ed | MATLAB | 1,817 | 63 | %{
Maxwell Gagnon - September 2019
- This function finds all Maestro files in a directory, opens them, and saves
them as a .mat file.
- .mat files are easier to work with than the Maestro files.
- The .mat files are also renamed to be more similiar to their behavior
recording file counterparts.
%}
%% Set up
clear;clc;... |
13b1003290ff30456744d037bbd49c731f4d0ffd287884c9717f3219f0dc07b6 | MATLAB | 1,819 | 50 | function [trackedPoints] = ml_cai_dlc_load_all(containerFolder, filenamePrefix)
% This code reads in the multiple h5 files produced by DeepLabCut
% Get a list of matching filenames
h5Files = ml_cai_dlc_get_h5_filenames(containerFolder, filenamePrefix);
numH5Files = length(h5Files);
if numH5Files == 0
error('Unabl... |
07902256d3ba292f1391d3234acb98caa936a3f8634ae4e9823ce8cb315c7139 | MATLAB | 1,821 | 44 | % VL_QUICKSHIFT Quick shift image segmentation
% Quick shift is a mode seeking algorithm which links each pixel to
% its nearest neighbor which has an increase in the estimate of the
% density. These links form a tree, where the root of the tree is
% the pixel which correspond to the highest mode in the image.
... |
0845768e9fbee62fb5985c45a9d6879dc47204e885409276e13f780fcbe2711f | MATLAB | 1,822 | 60 | % For in vivo spine data analyzed using MapManager V_20171028
% Author: Richard Roth (rhroth@stanford.edu)
% Date: October 2019
% Based on MapManager-Matlab-1.0.1-alpha by Robert Cudmore, 20171016
function retVal = segmentCall(myMapList, MapName, SegmentNumber, SessionConditions, StatName, channel, PersCond, Min... |
d3ce1565af5725f3e49d92301db6a0978bed54c54921fd680bb565442f7b73f9 | MATLAB | 1,822 | 41 | % SONGETADCDATA returns data for Adc, AdcMark, RealWave ( and RealMark?)
% data channels
%
% Implemented through SONGetADCData.dll
%
% [npoints, bTime, data]=SONGETADCDATA(fh, chan,...
% maxpoints, sTime, eTime{, FilterMask})
%
% INPUTS: FH = file handle
% CHAN = cha... |
eb798afad68a7905556a1ddb5bfb7c99db874dd1ac98acc5df7653f1332e4060 | MATLAB | 1,822 | 64 | function res = thetaburst(amplitude, pair)
%function res = thetaburst(amplitude, pair)
%THETABURST automatic delivery of "theta burst" pulses - six trains of 200
% Hz, 50 ms duration each, with 117 ms in between. The procedure is
% fairly automatic, requiring manual intervention (Ctrl+C or using the
% em... |
03a153720c5750e9fdb0dc528c411ce5599566629b77262ccd440bbfa3f25b04 | MATLAB | 1,823 | 57 | clear all;clc
fidx=dir('*.abf');
StimAmp_DP=0:50:900;
TimeStim=[0.22,0.83];
%%
for k=1:length(fidx)
filename=fidx(k).name;
[data,si,~]=abfload(filename,'start',0,'stop','e','channels','a');
% [data,si,~]=abfload(filename);
dt=si*1E-6;
dataV=data(:,1,:);dataV=squeeze(dataV);%µÚÈý¸öÊÇ... |
ef1b8ab310812382e255e17b23dfd26532aed2bbece5502f20f9ee5d0a56bd48 | MATLAB | 1,823 | 50 | % VL_HOG Compute HOG features
% HOG = VL_HOG(IM, CELLSIZE) computes the HOG features for image IM
% and the specified CELLSIZE. IM can be either grayscale or colour
% in SINGLE storage class. HOG is an array of cells: its number
% of columns is approximately the number of columns of IM divided
% by CELLSIZE a... |
1054fcce53aac77a3f02319855190c003f888d1dc5642b9ba729189d02c8e2fe | MATLAB | 1,824 | 68 | function mysavefig(h, folder,fileName, fs)
% saves current figure as png, pdf and .fig, trying to maintain original aspect
% h - figure handle
% folder - location for saving figure
% fileName - desired file name for figure
% fs - (optional) font size to impose on pdf (default font size of saved file may vary according... |
137550bc5532201407abb9fe50226d95b5c9c83a3fa29ab53e905b5c08f86d71 | MATLAB | 1,824 | 61 | function aedes_errordump(errorstruct)
% AEDES_ERRORDUMP - Write the lasterror structure into file
%
%
% Synopsis:
%
% Description:
%
% Examples:
%
% See also:
%
% This function is a part of Aedes - A graphical tool for analyzing
% medical images
%
% Copyright (C) 2006 Juha-Pekka Niskanen <Juha-Pekka.Niskanen@uku.... |
30397bd462684bcec7bfc78d25df8878bbe489ad708b2018035003e8ed3fac88 | MATLAB | 1,824 | 44 | function status = getImpedance( obj, data )
% Extract impedance information.
%
% Syntax:
% status = GETIMPEDANCE( obj, data );
%
% Input parameters:
% * obj - object containg data
% * data - data from json file(s)
%
% Example:
% status = obj.GETIMPEDANCE( data )
%
% Available at: https://github.com/NCN-Lab/DBSc... |
80c981b1534470266ee63f413a48c79904c9d2545bd73d969fee04a4afe4dfd2 | MATLAB | 1,824 | 60 | function [track] = ml_cai_dlc_to_mlbehaviourtrack(trialDLCFolder, timestamp_ms)
% This code reads in the multiple h5 files produced by DeepLabCut
% and then converts the data so that it can be saved as a
% MLBehaviourTrack hdf5 file used by the pipeline.
%trialDLCFolder = pwd;
%trialAnalysisFolder = pwd;
% These are ... |
188a6652f872388e32874867ec11b54a1216507a731c369e108ecf90e261cc97 | MATLAB | 1,825 | 61 | %% updated 2024/2/22
%
% 2024/2/15 mw, change xLim to be fixed or varargin
% 2024/2/22 mw, remove Y tick label
%% raincloud_plot - plots a combination of half-violin, boxplot, and raw
% datapoints (1d scatter).
% Use as h = raincloud_plot(X, cl), where X is a data vector and cl is an
% RGB value. h is a cell... |
421e1b5dfa36192d52d6b24552fb9588fd0c1681a8edef931e2ac92c83f0c1ee | MATLAB | 1,826 | 41 | % SONGETREALDATA returns data for Adc, AdcMark, RealWave ( and RealMark?)
% data channels
%
% Implemented through SONGetRealData.dll
%
% [npoints, bTime, data]=SONGETREALDATA(fh, chan,...
% maxpoints, sTime, eTime{, FilterMask})
%
% INPUTS: FH = file handle
% CHAN = ... |
f0faca24ead52821c286394dfeded24a72adb7fc148566181627f240f4571ae0 | MATLAB | 1,826 | 46 | clear
%load F1s.mat
filenames = {'sim_0','sim_1','sim_2','sim_3','sim_4',...
'sim_5','sim_6','sim_7','sim_8','sim_9'};
radii = [4:10];
SNRs = [2:7];
% SNRs = [3:4:23];
[list_Recall, list_Precision, list_F1] = deal(zeros(length(filenames),length(radii),length(SNRs)));
parfor n = 1:(length(filenames)*length(radii)*le... |
e1c50c8c654c6c610c0802ec076691360fe946304cc8182312e2cc4125bab7fb | MATLAB | 1,827 | 47 | function [EER, FMR1000, fpr_mean, fnr_mean] = computeAverageEER_FMR1000(fpr_iter, fnr_iter, genuinesAggr_iter, impostorsAggr_iter, dbname, dirResults, plotta, savefile, param)
% %init
% minLength = findMinLength(fpr_iter, fnr_iter);
% fpr_mean = zeros(minLength, 1)';
% fnr_mean = zeros(minLength, 1)';
%
% %compute av... |
d6ce84c523ac0e8cb04be67c5f61750caa72fbe321c40e069eb81b09413dc312 | MATLAB | 1,829 | 31 | function [mag1, mag2] = get_linearityMeasurements(mag1, mag2)
% Sac Start and End Times
sacEndPoints = diff(~mag1.saccades_all);
goodStarts = find(sacEndPoints == 1);
goodStarts = goodStarts + 1;
goodStops = find(sacEndPoints == -1);
if goodStarts(1) > goodStops(1)
goodStarts = [0; goodStarts];
elseif goodStarts(... |
e0b3f313ebd44b9adc8f816e05f00076efbd2765fd5fe31fb6787957dcb6d223 | MATLAB | 1,829 | 63 | % mglMakeSocket.m
%
% usage: mglMakeSocket(rebuild)
% by: Ben Heasly
% copyright: (c) 2021 Justin Gardner(GPL see mgl/COPYING)
% purpose: rebuild socket-related mex-functions.
%
function mglMakeSocket()
% Decide what to build.
socketDir = fileparts(which('mglMakeSocket.m'));
socketSrc = dir([socketDir... |
7843177914c63f1176f43d1d3d0d2fec0b5b27cd523a26942e1d0af05d79baed | MATLAB | 1,830 | 49 | classdef EventWaveform < types.core.NWBDataInterface & types.untyped.GroupClass
% EVENTWAVEFORM Represents either the waveforms of detected events, as extracted from a raw data trace in /acquisition, or the event waveforms that were stored during experiment acquisition.
% OPTIONAL PROPERTIES
properties
spikeevent... |
52276fb0976e608111977be4de15d53836c0323eeac18d138603123779957a20 | MATLAB | 1,832 | 59 | %% This is little script for the extraction of trace from the area that corresponds to the whiskers of animals being recorded while head restrained
% The Red channel values are extracted for a rectagular area
% USE
% (1) Choose the .avi file you want to process.
% IMPORTANT
% only .avi RGB video files work for ... |
eb8effa9855e346cfbf638cc8aaf4e84971988a634956c2b22d597a4d12ec1d3 | MATLAB | 1,832 | 60 | function [track] = ml_cai_dlc_to_mlbehaviourtrack(trialDLCFolder, timestamp_ms)
% This code reads in the multiple h5 files produced by DeepLabCut
% and then converts the data so that it can be saved as a
% MLBehaviourTrack hdf5 file used by the pipeline.
%trialDLCFolder = pwd;
%trialAnalysisFolder = pwd;
% These are ... |
2e7ba7d72cdd92df57050e49f637c0a6e45f1859e509461c973d8c6c5229e5a7 | MATLAB | 1,833 | 59 | function y = diff(x)
% DIFF Difference and approximate derivative.
%
% DIFF(X), for a vector X, is [X(2)-X(1) X(3)-X(2) ... X(n)-X(n-1)].
% DIFF(X), for a matrix X, is the matrix of row differences, [X(2:n,:) - X(1:n-1,:)].
% DIFF(X), for an N-D array X, is the difference along the first non-singleton dimension of X.... |
690634b553ddc8bc0bebc1ccb682211c76f5a80b5182ed064c9ce262e2c34e50 | MATLAB | 1,833 | 73 | % plotCaVelExTraces.m
%
% Quick script to plot example traces calcium imaging traces (left and
% right dF/F, yaw velocity, forward velocity). For making figure of
% example traces for paper
%
% Adaptation of plotPDataRawTraces.m
%
% CREATED: 5/13/24 - HHY
%% plotting parameters
dFFscale = [-1 1];
fwdVelScale = [-20 ... |
6cbf4a95ba5cd1f313a4f547086b78eb9c99df7b73d996762353011f53b9e6d5 | MATLAB | 1,833 | 50 | function [h,hc] = plotEllipse(cRow,cCol,ra,rb,phi,color,nPnts,lw,ls)
% USAGE
% [h,hc,hl] = plotEllipse(cRow,cCol,ra,rb,phi,[color],[nPnts],[lw],[ls])
%
% INPUTS
% cRow - the row location of the center of the ellipse
% cCol - the column location of the center of the ellipse
% ra - semi-major axis radius l... |
39f9292f50d9baa538c8f4ef569eb6aed2f2afbc6c7fe809514212d540a6e328 | MATLAB | 1,834 | 58 | % mglTextSet.m
%
% $Id$
% usage: mglTextSet(fontName,fontSize,fontColor,fontVFlip,fontHFlip,fontRotation,fontBold,fontItalic,fontUnderline,fontStrikeThrough)
% by: justin gardner
% date: 05/10/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Set text ... |
d379461e82ef639a926e4e39f5c1cf5f01e7d9db900a3da02c2fc6a9868a5c8c | MATLAB | 1,834 | 39 | % makeGrating.m
%
% usage: makeGrating(width,height,sf,angle,phase,<xDeg2pix>,<yDeg2pix>)
% by: justin gardner
% date: 09/14/06
% purpose: This function *name* is deprecated. Use mglMakeGrating (same functionality)
% instead.
function m = makeGrating(width,height,sf,angle,phase,xDeg2pi... |
6185c01cabdc5250fb34d9648278968b7e3184837a7c96e923a5f889d5b521d4 | MATLAB | 1,835 | 62 | % LBV.m
% [fL] = LBV(iFreq,Mask,matrix_size,voxel_size,tol,depth,peel,N1,N2,N3)
%
% output
% fL - the local field
%
% input
% iFreq - total magnetic field
% Mask - ROI
% matrix_size - dimension of the 3D image stack
% voxel_size - dimensions of the voxels
% tol - iteration stopping crite... |
d94b26aa8b46cfecfa3a5479b8b140a4e5e2e2c8838659f904dd3b3a4789aa98 | MATLAB | 1,835 | 51 | function h = vl_hikmeanshist(tree,path)
% VL_HIKMEANSHIST Compute histogram of quantized data
% H = VL_HIKMEANSHIST(TREE,PATH) computes the histogram of the HIKM tree
% nodes activated by the root-to-leaf paths PATH. PATH is usually
% obtained by quantizing data by means of VL_HIKMEANSPUSH().
%
% The histogram H h... |
c8bb9fce7cadd02249073312115cd898c2ffc782b608312fa42ea0506d1988ae | MATLAB | 1,836 | 56 | %
% Please cite this paper if you use any component of this software:
% S. Soltanian-Zadeh, K. Sahingur, S. Blau, Y. Gong, and S. Farsiu, "Fast
% and robust active neuron segmentation in two-photon calcium imaging using
% spatio-temporal deep learning," Proceedings of the National Academy of Sciences (PNAS), 2019.
%
... |
1830e35a12d65607198b9a7da6af4b70d5656616e6d59be204b2970e94aa52d1 | MATLAB | 1,837 | 51 | function [stat_info] = get_spec_stats(pow,f,srch_bnds,cntl_bnds,Alpha)
%get_spec_stats.m 5/8/22
% this will return several fields
% representing one- and two-tailed tests
% and outputs that are useful different purposes (e.g., plotting)
%confirm same orientation
f = reshape(f,size(pow));
cntl_inds = find(f >... |
e32e66024f93280532d84e75d875d5f0f39d66bff993fc34cd7224ff196402bb | MATLAB | 1,837 | 67 | function results = vl_test_imsmooth(varargin)
% VL_TEST_IMSMOOTH
vl_test_init ;
function s = setup()
I = im2double(imread(fullfile(vl_root,'data','spots.jpg'))) ;
I = max(min(vl_imdown(I),1),0) ;
s.I = single(I) ;
function test_pad_by_continuity(s)
% Convolving a constant signal padded with continuity does not change... |
e4f2fa9240a5d52ddf8cba45ffa9b0c81e865670bb1268a62bc7b2241d3f6002 | MATLAB | 1,837 | 48 | % VL_FISHER Fisher vector feature encoding
% ENC = VL_FISHER(X, MEANS, COVARIANCES, PRIORS) computes the Fisher
% vector encoding of the vectors X relative to the Gaussian mixture
% model with means MEANS, covariances COVARIANCES, and prior mode
% probabilities PRIORS.
%
% X has one column per data vector ... |
51a5c9abc3a0fe6cf36ae2c741b6d74853a1fbaa12513cfa3f2d624b0ac3c2ca | MATLAB | 1,839 | 74 | function v_Data = ...
f_LoadI16File( ...
pstr_FileName, ...
ps_FirstIndex, ...
ps_LastIndex, ...
ps_FileHdl)
%
% Function: f_LoadI16File.m
%
% Description:
% This function loads an integer signal from a file where each data value
% is stored in 2 bytes.
%
% Inputs:
% pstr_FileName: name of the f... |
f3c8a6af8922bec241a69e28146cf2b386c55dd7dbe8bba95615744f7c7ca24e | MATLAB | 1,839 | 74 | % generatePlotsPooledKernels.m
%
% Script to load analyzed data (from extractKernels.m) and generate plots
% with plotMeanKernels.m. Saves figures
%
% UPDATED: 8/29/19
%
datPath = '/Users/hyang/Dropbox (HMS)/2PAnalysis-Helen/AnalyzedData/190828';
figPath = '/Users/hyang/Dropbox (HMS)/2PAnalysis-Helen/Figures/190828_k... |
28ebf0d0ab07dffd87c7833bce52cdc12981ea14053aa69644d9536ebf81a565 | MATLAB | 1,840 | 43 | function simulate_data(path_of_script,number_of_noise_realizations,simulated_SNRs)
simulation_parameters.outdir = {[path_of_script]};
[simulation_voxels_table, dataset_names] = simulation_load_paper_invivo_tensors(path_of_script);
[simulation_voxels_axDKI_table] = simulation_load_pape... |
72a29478f51f180c8c216ff372be3fd90f6d7099e781753fcbe9f43e48a6a8de | MATLAB | 1,841 | 51 | function [psth,psth_mean, sem] = psth_wave2_multi(trigger_times,interval,values, ...
pre_time,post_time,control_from,control_to,offset,z_score)
N = length(values);
times = 0:interval:(N-1)*interval;
times = times';
% val1 = cell(1,length(trigger_times));
% interval_rate=1/interval;
% if interval_rate>=1&&inte... |
85cdc7be9f4d45ccfe25ce0b45ff0a4e74b6200c5f6fb0162d66e23b9e74ea85 | MATLAB | 1,841 | 56 | function [r] = ml_alg_smallest_enclosing_rectangle(tx, ty)
% This code computes the smallest rectangle that encloses the points
% given by tx and ty. NOTE! It will enclose all of the points so filter
% out those that are due to noise if needed. It was written for the
% auto placemap spike code that does... |
ad48d9b8ac11bffcf8ff0a4489b8149617bc8209e1bb86317ea7c1c92d091a1c | MATLAB | 1,843 | 41 | % VL_KDTREEQUERY Query KD-tree
% [INDEX, DIST] = VL_KDTREEQUERY(KDTREE, X, Y) computes the nearest
% column of X to each column of Y (in Euclidean distance). KDTREE is
% a forest of kd-trees build by VL_KDTREEBUILD(). X is a
% NUMDIMENSIONS x NUMDATA data matrix of class SINGLE or DOUBLE with
% the data index... |
c1ff6718975cf83f8cecf16955f59f6d6f36184666488ff46442b19e54291770 | MATLAB | 1,844 | 60 |
function vessel_img = vessel_dilation(valid_vessel, N_cut, seed, max_disk, dilate_trace, t)
%% this file is used to simulate the vessel dilations
% N_cut: FOV divisions
% seed: rand seed for repeating experiments
% max_disk: dilation strength
% dilate_trace: dilation amplitude
% last update: 4/24/2022.
% load v... |
7dae83767a8c645dbcaac8377c76e95f5cc0da813d1aed609b3e45c4b0838042 | MATLAB | 1,846 | 81 | distribution=cell(1,12);
for i = 1:12
temp=pooled_clustering(i).clustering_info.cellids;
temp(temp==0)=[];
distribution{i}=temp;
end
%% LINE PLOT FOR EACH DATASET
figure('color','w')
hold on
c=[0 .447 .741;.85 .325 .098; .929 .694 .125; .494 .184 .556; .466 .674 .188; .301 .745 .933];
total_SOM=0; ... |
52257702650764b49081203acf7a8a19ebe89dc5ff4bc804f3fcd2fd71db6de5 | MATLAB | 1,847 | 61 | %% 230324, make figure on the effect of CK on amplitude, IPI (figure used in Fig 7)
% use after "toRun_240324_ckFig7S.m"
%% plot just dot, not cloud; vertical plot; also not as subplot
xx=10;
numbertoplot=1:xx;
legendlabel={'-', '+', '-', '+', '-', '+', '-', '+', '-', '+'};
legendlabel2={'Arp3','CBD','FMNL1','Lifeact... |
d17f4d3a494dcd3526a0939ed6ebe2cef52beb304ca314b77a5d8c3bf6d11889 | MATLAB | 1,847 | 54 | % clear;
addpath(genpath('.'))
addpath(genpath(fullfile('..','ANE')))
%%
dir_video=fullfile('E:','data_CNMFE');
list_Exp_ID={'blood_vessel_10Hz','PFC4_15Hz','bma22_epm','CaMKII_120_TMT Exposure_5fps'};
num_Exp = length(list_Exp_ID);
eid = 4;
Exp_ID = list_Exp_ID{eid};
DirSave = ['Results_',Exp_ID];
dir_add = fullfile(... |
754e8bea13b49666ac3095fba4d3657bbd9e17287df08b8c080fb826e886673a | MATLAB | 1,849 | 52 | function grad = itab2grad(header_info)
% ITAB2GRAD converts the original Chieti ITAB header structure into
% a gradiometer definition that is compatible with FieldTrip forward
% and inverse computations
%
% See also CTF2GRAD, BTI2GRAD, FIF2GRAD, MNE2GRAD, YOKOGAWA2GRAD,
% FT_READ_SENS, FT_READ_HEADER
% Copyright (C) ... |
d4e43aa3f99e05d8e1af2620bdf598e0020bcae045da6b8a732396dc1fe0b847 | MATLAB | 1,850 | 50 | %% detects surface semi-automatically (starts from manually selected location; multiple locations possible for multiple surfaces)
function [surff]= surfaceDetectionAnterion_v01(complexSignal)
col='rygbck';
sign2=log(flipud(medfilt2(abs(complexSignal),[7 7])));
[Gmag,Gdir] = imgradient(sign2);
Gmag(isinf(Gmag)==1)=0;... |
394810c404aee9d30de48bfd7430d1d17e5cfc21de684b2d0f86aabf68bc49e7 | MATLAB | 1,851 | 52 | function [outermost, inside] = find_outermost_boundary(bnd)
% FIND_OUTERMOST_BOUNDARY locates outermost compartment of a BEM model
% by looking at the containment of the triangular meshes describing
% the surface boundaries
%
% [outermost] = find_innermost_boundary(bnd)
%
% with the boundaries described by a struct a... |
6045ce5b28c34055b8a889b376d4499aecc32e4a2025ca9df616e8cd7a39d0df | MATLAB | 1,851 | 70 | % mglClose.m
%
% $Id$
% program: mglClose.m
% by: justin gardner
% date: 04/03/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: close OpenGL screen
%
function retval = mglClose()
% check arguments
if ~any(nargin == [0])
help mglClose
return
end... |
ab00b4cbd3150c3663081798cd013c871bcba11746945cc4875a67e51b2d8c07 | MATLAB | 1,851 | 52 | function [outermost, inside] = find_outermost_boundary(bnd)
% FIND_OUTERMOST_BOUNDARY locates outermost compartment of a BEM model
% by looking at the containment of the triangular meshes describing
% the surface boundaries
%
% [outermost] = find_innermost_boundary(bnd)
%
% with the boundaries described by a struct a... |
1e56fce7bbaccec710a4ed15f420009fdbafbc15ef8c3e16ad7d9ac543f832d0 | MATLAB | 1,852 | 45 | function mask_unrelyPhase = create_mask_unrelyPhase2(phasedata, mask, Params, thresh)
%% Author: Xu Li
% Affiliation: Radiology @ JHU
% Email address: xuli@mri.jhu.edu
%
% This function creates unreliable phase mask for QSM
% Ref. Wang et. al., bioRxiv preprint doi: https://doi.org/10.1101/2021.06.28.450248
mask_unrel... |
f89d988f8d3ee5e091b490ce336a30bafb99e91c70c0f4aa3e801c38724a2153 | MATLAB | 1,853 | 64 | function stim = masktestStim(baseImg,seq,resampleSize)
% Function to make test stimulus for stRet
%
% stim = masktestStim(baseImg,seq,resampleSize)
%
% Example:
% userLoadFile = '/Users/insubkim/oak_home/spatiotemporal/experiments/stRet/data/subj01/session1/Stimuli/images_and_params_run01.mat';
% fs = 1000;
% resamp... |
0872ad8050b2ec27c4fbcf0028f9a56c9c4f47c6c763b5af673ea01c43e97255 | MATLAB | 1,854 | 65 | function [wI,wIx,wIy] = vl_imwbackward(varargin)
% VL_IMWBACKWARD Image backward warping
% J = VL_IMWBACKWARD(I, X, Y) returns the values of image I at
% locations X,Y. X and Y are real matrices of arbitrary but
% identical dimensions. I is bilinearly interpolated between samples
% and extended with NaNs to th... |
0ca93624fe4419eee88d2d0a0f8113114ca89c3538426f22e475562ce1e5b05f | MATLAB | 1,854 | 58 | function [tensor_mrtrix,kurtosis_mrtrix] = nyu2mrtrix(dki_nyu)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% % NYU (dki_fit)
% % Tensor
% D_ind =
% 1 1
% 1 2
% 1 3
% 2 2
% 2 3
% 3 3
% % Kurtosis
% W_ind =
%1. 1 1 1 1... |
dcf04210c718e6131d9cac4a0f7aec19171d85048de766ca4e0468d190d17485 | MATLAB | 1,854 | 47 |
if ~(struct.special)
vline(struct.segLen * .25, 'r')
vline(struct.segLen * .75, 'r')
b = ylim;
text(0, ((b(2)-b(1)) * .05) + b(1), '* Center')
text(struct.segLen * .25, ((b(2)-b(1)) * .05) + b(1), ['* L Motion' ])
text(struct.segLen * .50, ((b(2)-b(1)) * .05) + b(1), '* Center')
text(struct... |
c881d4f804e4c370aee761aa85e3a45e165dded163b3e4934a2ad8ae81fffa42 | MATLAB | 1,856 | 68 | %%
bin=30;
type='onsets';
param(1).type=type;param(1).stat='avg';param(1).extype='ratio';param(1).exthresh= 2;
starts=-50:1:50;
%%
[outputSVM]= event_classifier(starts,bin,param(1),ds_events,'SVM','noshuffle','nodecay');
%%
[outputLDA]= event_classifier(starts,bin,param(1),ds_events,'LDA','noshuffle','nodecay');
[... |
3ffb5a5df3b0a70890cc7dda6b9fb1fe089a8db7e998cac91965761c46e71f57 | MATLAB | 1,858 | 61 | function M = decode_qform0(hdr)
% Decode qform info from NIFTI-1 headers.
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: decode_qform0.m 8776 2013-11-14 09:04:48Z roboos $
dim = double(hdr.dim);
pixdim = double(hdr.pix... |
655c265f284c4138c8c60896d9ae76fbee68197ec6a906425eaa3cc8bfa35c7a | MATLAB | 1,859 | 51 | function mltp_plot_best_fit_orientations_0_180_per_cell(obj, session)
% Load the data
matFilename = fullfile(session.analysisFolder, obj.config.canon_rect_placemaps_folder, 'best_fit_orientations_0_180_per_cell.mat');
if ~isfile(matFilename)
error('The data file (%s) does not exist. Make sure it has... |
7d8731e4aec2ed56bd0eb63bf6d7dbb7e341a9055e3f26c2ce7263adc15a5846 | MATLAB | 1,859 | 48 | clear
%load F1s.mat
filenames = {'sim_0','sim_1','sim_2','sim_3','sim_4',...
'sim_5','sim_6','sim_7','sim_8','sim_9'};
radii = [4:8];
% radii = [9:10];
% SNRs = [2:4];
SNRs = [2:7];
% SNRs = [3:4:23];
[list_Recall, list_Precision, list_F1] = deal(zeros(length(filenames),length(radii),length(SNRs)));
parfor n = 1:(l... |
a2ceb1bfd114f0f64d6b4a1e414c4acd373d6679eab10214375e1c03fd5b374e | MATLAB | 1,859 | 61 | function ft_flush_data(filename, varargin)
% FT_FLUSH_DATA removes all data from the data queue
%
% Use as
% ft_flush_data(filename, ...)
%
% See also FT_FLUSH_HEADER, FT_FLUSH_EVENT
% Copyright (C) 2007-2010 Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fieldtrip
% for the... |
4ccb12e443194dc28bd3e2f6b11bf2390680129430639eb48722f52ff45ce227 | MATLAB | 1,860 | 76 | %tableS1_HR_diffs_primary_synthetic.m
%%
clear all;
close all;
clc;
warning('on','all')
scriptdirs = {pwd; '..\..\plot'; '..\..\analyze'; '..\..\helper_functions'};
addpath(scriptdirs{:})
datadir = pwd;
ssfile = 'subsample1000_stdFR_stdRP.mat';
sspath = fullfile(datadir,ssfile);
%%
tabledir = datadir;
tablefil... |
9cf091402a6a70a12d4dad74f21514e114b8752ad213cd150b0bd47f14e0f1c5 | MATLAB | 1,860 | 86 |
function [net_config, exp_info]=cnn_load_model(input_path)
% input_path can be a cached model file, or a folder which contains the
% model file and the file name follow the pattern: net-config*.mat
net_config=[];
exp_info=[];
if ~my_check_file(input_path)
return;
end
if exist(input_path, 'dir')... |
a3ca3c9faebd03734760223a2e90e4dde82bf9de780336d0a0c4b7db75242e84 | MATLAB | 1,860 | 57 | %% open up csv file containin the gain and phase
try
pathname = cd;
[~, filenameroot] = fileparts(pathname);
File = [filenameroot '.xlsx'];
[~, ~, array] = xlsread(File);
catch
File = uigetfile('*.*');
[~, ~, array] = xlsread(File);
fprintf('Excel file not automatically found, please manual... |
df5c14ddc6e8235afe7774ba5172ac851d0ce49197a7dd50a240dcc43d6b5947 | MATLAB | 1,860 | 41 | % VL_BINSUM Binned summation
% ACCUMULATOR = VL_BINSUM(ACCUMULATOR,VALUES,INDEXES) adds the
% elements of the array VALUES to the elements of the array
% ACCUMULATOR indexed by INDEXES. VALUES and INDEXES must have the
% same dimensions, and the elements of INDEXES must be valid indexes
% for the array ACCUM... |
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