sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
b25ddf638ffd47abc87cbacbf813a505758f325585fb6ca0b95fc26be587a9a9 | MATLAB | 5,816 | 222 | #!/bin/bash
#SBATCH --time=72:00:00
#SBATCH --job-name=NegPerturb5HT6
#SBATCH --mail-type=END
#SBATCH --mail-user=
#SBATCH --mem=3G
#SBATCH --cpus-per-task=2
#SBATCH --array=1-101
#SBATCH --output=outputs/MCS_Neg_Wgain_5HT6_A%A_%a.out
#SBATCH --error=outputs/MCS_Neg_Wgain_5HT6_A%A_%a.err
#Load Matlab 2017a module
ml M... |
fd032a05d5a0404344ebaff7b1ebd707473027f5db6009d48182efdf5fb39fc0 | MATLAB | 5,817 | 221 | #!/bin/bash
#SBATCH --time=72:00:00
#SBATCH --job-name=NegPerturbD1UWS
#SBATCH --mail-type=END
#SBATCH --mail-user=
#SBATCH --mem=3G
#SBATCH --cpus-per-task=2
#SBATCH --array=1-101
#SBATCH --output=outputs/UWS_Neg_Wgain_D1_A%A_%a.out
#SBATCH --error=outputs/UWS_Neg_Wgain_D1_A%A_%a.err
#Load Matlab 2017a module
ml MATL... |
c845d82afbc68258c0556f4ff3d3529726704cb2e71f81318a2d22adc0106e5c | MATLAB | 5,823 | 221 | #!/bin/bash
#SBATCH --time=72:00:00
#SBATCH --job-name=NegPerturbMUUWS
#SBATCH --mail-type=END
#SBATCH --mail-user=
#SBATCH --mem=3G
#SBATCH --cpus-per-task=2
#SBATCH --array=1-101
#SBATCH --output=outputs/UWS_Neg_Wgain_MU_A%A_%a.out
#SBATCH --error=outputs/UWS_Neg_Wgain_MU_A%A_%a.err
#Load Matlab 2017a module
ml MATL... |
2dea54dd9cd2edc72735677af503e0609e3bf892ebe60296859a2ef35b308f02 | MATLAB | 5,829 | 222 | #!/bin/bash
#SBATCH --time=72:00:00
#SBATCH --job-name=NegPerturbDATUWS
#SBATCH --mail-type=END
#SBATCH --mail-user=
#SBATCH --mem=3G
#SBATCH --cpus-per-task=2
#SBATCH --array=1-101
#SBATCH --output=outputs/UWS_Neg_Wgain_DAT_A%A_%a.out
#SBATCH --error=outputs/UWS_Neg_Wgain_DAT_A%A_%a.err
#Load Matlab 2017a module
ml M... |
f6ea42168199545422f855b821c6b62cff0e8231f0c3349b4ef7144c36f9fb55 | MATLAB | 5,830 | 217 |
function my_net_run_epoch(opts, imdb, work_info, net_config)
net_run_opts=opts.net_run_opts;
epoch=work_info.ref.current_epoch;
work_info.ref.obj_values(epoch) = 0 ;
work_info.ref.eva_results{epoch}=[];
work_info_epoch=[];
work_info_epoch.epoch=epoch;
work_info_epoch.valid_batch_count=0;
work_in... |
938d9b04694cb8e0d3ca347969459d620638bb7011051332cfe7d525434cc5d9 | MATLAB | 5,834 | 142 | %% Clean-up
clear;
close all;
% warning('off', 'MATLAB:print:FigureTooLargeForPage')
% Specify parameters
Processing2.directory = 'D:\JG\Project Gi-DREADD\Auswertung\P11\';
Processing2.timestamp = datestr(now, 'yymmdd_HHMMSS');
Processing2.age = 'P11'; % specify age group
% Get file list
Processing2.FileList ... |
ec3f736b142c268bc32a099b1c2177b272afd56b99fbe652ca4e24a736100547 | MATLAB | 5,834 | 222 | #!/bin/bash
#SBATCH --time=72:00:00
#SBATCH --job-name=NegPerturb5HT6UWS
#SBATCH --mail-type=END
#SBATCH --mail-user=
#SBATCH --mem=3G
#SBATCH --cpus-per-task=2
#SBATCH --array=1-101
#SBATCH --output=outputs/UWS_Neg_Wgain_5HT6_A%A_%a.out
#SBATCH --error=outputs/UWS_Neg_Wgain_5HT6_A%A_%a.err
#Load Matlab 2017a module
m... |
445aa8be4c8610390b8133f726a3aad89045474b453fe8dd09b85e533e80557c | MATLAB | 5,837 | 145 | function[freechan]=SONCreateChannel(fid,SrcChan,data,dataheader)
% Obsolete function. To write to a file use the SON32 library
%
% Create a new channel in SON file fid using the existing channel SrcChan channel header as a template.
% Channel data is contained in data. If data is type int16 a new ADC channel will be w... |
0c12958eac88e55a9933cdc3a9b29e428f1e175cba510945ab056b1e1f6efcc9 | MATLAB | 5,838 | 99 | function spike_opts = check_spike_opts(spike_opts)
% spike_opts = check_spike_opts(spike_opts)
%
% 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:
%
% spike_opts - Struct containing the... |
9b293c9cb549c222b1c4ebf39140cb646508ac7c34b5bf9554bbc283cc7d8350 | MATLAB | 5,838 | 183 | function [msi] = read_bti_m4d(filename)
% READ_BTI_M4D
%
% Use as
% msi = read_bti_m4d(filename)
% Copyright (C) 2007, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fieldtrip
% for the documentation and details.
%
% FieldTrip is free software: you can redistribute it and... |
f3b4a47ad116f34082bce16983126ad73c9982e91a03ab4436c4f4fa59c3af0a | MATLAB | 5,838 | 224 | #!/bin/bash
#SBATCH --time=72:00:00
#SBATCH --job-name=NegPerturb5HT1AUWS
#SBATCH --mail-type=END
#SBATCH --mail-user=
#SBATCH --mem=3G
#SBATCH --cpus-per-task=2
#SBATCH --array=1-101
#SBATCH --output=outputs/UWS_Neg_Wgain_5HT1A_A%A_%a.out
#SBATCH --error=outputs/UWS_Neg_Wgain_5HT1A_A%A_%a.err
#Load Matlab 2017a modul... |
9f88980afef21996036cd42058aadff319b9b482190938143d0f1868d1d93fcc | MATLAB | 5,841 | 224 | #!/bin/bash
#SBATCH --time=72:00:00
#SBATCH --job-name=NegPerturb5HT1A
#SBATCH --mail-type=END
#SBATCH --mail-user=
#SBATCH --mem=3G
#SBATCH --cpus-per-task=2
#SBATCH --array=1-101
#SBATCH --output=outputs/MCS_Neg_Wgain_5HT1A_A%A_%a.out
#SBATCH --error=outputs/MCS_Neg_Wgain_5HT1A_A%A_%a.err
#Load Matlab 2017a module
m... |
369c151fc96dcace946ee6d25865395807ccd5bc1147b7e73b20128093d65355 | MATLAB | 5,842 | 143 | function [] = plot_worm_frame_post_analysis_showing_path_mochi_data_2(I, center_lines, centerline_color, centerline_stimulus, debugimage,in_track_index,current_ellipse_ratio,smoothed_path_x,smoothed_path_y,stimulus_delivered,path_history,demo_mode,all_velocity,current_rails_dur,initial_frame)
% % % % % % [] = plot_wor... |
4a49aeabfcb3c412b6065e88cd2ad029f838355d303d76e389cdc50dfb51c3d0 | MATLAB | 5,846 | 132 | %{
Copyright (C) Cambridge Electronic Design Limited 2014
Author: Greg P. Smith
Web: www.ced.co.uk email: greg@ced.co.uk
This file is part of CEDS64ML, an SON MATLAB interface.
CEDS64ML is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License... |
1d5cf87ada64a318f1c36bf56b44c0cc10922e6ac8225cd0834b46f9acb630d5 | MATLAB | 5,849 | 169 | classdef PatchClampSeries < types.core.TimeSeries & types.untyped.GroupClass
% PATCHCLAMPSERIES An abstract base class for patch-clamp data - stimulus or response, current or voltage.
% OPTIONAL PROPERTIES
properties
electrode; % IntracellularElectrode
gain; % (single) Gain of the recording, in units Volt/A... |
ba83d866d6f22a152891b87ba6ba9f24da45ee8729c27fc946505b1e89c044cf | MATLAB | 5,853 | 185 | % testDigPort.m
%
% $Id:$
% usage: testDigPort(<runlen>,<readPortNum>,<writePortNum>)
% by: justin gardner
% date: 06/26/09
% purpose: Tests digital read/write functions. This will make all of the digital lines on writePortNum (defaults to 1
% of the NI device turn on and off a... |
bff244b908414dc3f3deb634c2293190b10da0106c464590d71bf7421ebf5696 | MATLAB | 5,855 | 182 | function [f,h,n_el,bin_x] = dot_plot(x,groups,bins,opts)
% [f,h,n_el,bin_x] = dot_plot(x,groups,bins,opts)
% Creates dot plot of data in x with each point colored based on the
% element's group membership.
% Also has options for multiple plot markers.
% Can handle missing values.
%
% INPUTS
% x: data vector, used to... |
2410d884be2a74826e126c5ec8000100262ce66c9973878e0645544138708110 | MATLAB | 5,857 | 164 | function [this] = read_biff(filename, opt)
% READ_BIFF reads data and header information from a BIFF file
%
% This is a attemt for a reference implementation to read the BIFF
% file format as defined by the Clinical Neurophysiology department of
% the University Medical Centre, Nijmegen.
%
% read all data and inform... |
849284892d313e5257c6e5f1bdd71c6af79f0648f64c29011a690aa9a672df08 | MATLAB | 5,858 | 147 |
% advanced_example.m This script shows a more involved case of
% ternary_plots, where the three axes are not space 0->1 & do not sum to 1.
% Additional options are added to show how various elements can be
% customized.
clear all; close all; clc
%% (1) Add paths
% This function can be run automatically if copi... |
39f0d8c3b5054099dcf6148005021eef0dfd08a961ea60fcb9ff7dc85e9a8b1c | MATLAB | 5,864 | 130 |
%% Set Up
clear;clc;close all
% read table and set up parameters
table = readtable('Z:\1_Maxwell_Gagnon\ProjectData_Amin\Boris Recordings\Experiment 2\SegInfo.xlsx');
struct = table2struct(table);
direction = {'L', 'R'};
lightGreen = [117 187 49] ./ 255;
% 0: no filtering, 1: filtering
filter = 0;
%% Run Segments
... |
4cab262292fd93bc0fbcd17c457bb0ac8d2568be12a395111249b743b5e24df2 | MATLAB | 5,865 | 236 | function [data,times] = fiff_read_raw_segment(raw,from,to,sel)
%
% [data,times] = fiff_read_raw_segment(raw,from,to,sel)
%
% Read a specific raw data segment
%
% raw - structure returned by fiff_setup_read_raw
% from - first sample to include. If omitted, defaults to the
% first sample in data
% to - ... |
8597ec29df874a72a9c6c3ede6add63eab5321db11b2ddf8abd452567aba3199 | MATLAB | 5,865 | 154 | function plotSpectrogram( obj, varargin )
% PLOTSPECTROGRAM Computes and plot standard spectrogram
% Use with LFP online streaming recordings
%
% Syntax:
% PLOTSPECTROGRAM( obj, varargin );
%
% Input parameters:
% * obj DBScope object containg streaming data.
% * (optional) ax Axis where to plot... |
37eadd6803250d54c89194c648250eb8e919a0afe0ca4f8cffa3680fc8a4d325 | MATLAB | 5,866 | 166 | function fH = makeSupplFigure5_eyefixation(projectDir,subjnrs,saveFigs,saveFigDir)
% Function to reproduce supplementary figure 5:
% Plotting the distribution of eye gaze position
%
% From the paper:
% Title: Rethinking simultaneous suppression in visual cortex via
% compressive spatiotemporal population r... |
0fab162069df263ec0086319f59b84cf9cf5fb712b374a90320aee7c7b65f2ab | MATLAB | 5,868 | 157 | % clc, clear
% close all
%% a demo script to show discard too small/too dim components after network segmentation
% you can supply any other criteria (like throw away boundary components, apply vessel masks, etc)
% all threshold can be adjusted.
% last update: 5/30/2020. YZ
addpath(genpath('C:\Matlab Files\missing_... |
bec07d2d4521a3724cd5f41ff0174807b2b5a5e642021b1273167e7ae5abb378 | MATLAB | 5,868 | 134 | classdef VectorData < types.hdmf_common.Data & types.untyped.DatasetClass
% VECTORDATA An n-dimensional dataset representing a column of a DynamicTable. If used without an accompanying VectorIndex, first dimension is along the rows of the DynamicTable and each step along the first dimension is a cell of the larger tabl... |
2407adb123a14b26f4888bfc324c33f980656bf960a07620f7c11c6a99dbba7f | MATLAB | 5,875 | 204 | function out = delta2chi_FANSI_nlTV(params)
% Nonlinear QSM and Total Variation regularization
% with spatially variable fidelity and regularization weights.
% This uses ADMM to solve the functional.
%
% Parameters: params - structure with
% Required fields:
% params.input: local field map
% params.D: dipole kernel i... |
aa8cf6951ef385ffd044455069c54feb505f35b727ec1031536b5d6b4effc9c7 | MATLAB | 5,877 | 225 | function calc_asl_cbf(DATA,ROI,AddInfo)
% CALC_ASL_CBF - Calculate CBF maps from ASL data using T1-map data if
% possible (Aedes plugin)
%
%
% Synopsis:
%
% Description:
%
% Examples:
%
% See also:
%
% This function is a part of Aedes - A graphical tool for analyzing
% medical images
%
% Copyright (C) 2006 Juha-P... |
e28061b2802571470f9b8bb4ed424ec7e319a9f2586d7c6d3917aa0825acfd20 | MATLAB | 5,877 | 168 | %
SaveDir = '\\znas.cortexlab.net\Lab\Share\UNITMATCHTABLES_ENNY_CELIAN_JULIE\FullAnimal_KSChanMap'; %H:\Ongoing\'%'H:\SfN_2022'; %%'E:\Data\ResultsOngoing' %
% SaveDir = '\\znas.cortexlab.net\Lab\Share\UNITMATCHTABLES_ENNY_CELIAN_JULIE\2ConsecutiveDays_KSChanMap\Stitched\'
% SaveDir = 'H:\UnitMatch\'
FromDate = datet... |
d8c424834c53f84bd4ff992d245a1be7d0b7b8181398e19822d197f8259eaf3d | MATLAB | 5,881 | 167 | % Computes credible interval(s) directly from a vector (or row-major matrix) of
% the posterior(s) obtained by bayesian bootstrap.
%
% -- Function File: CI = credint (BOOTSTAT)
% -- Function File: CI = credint (BOOTSTAT, PROB)
%
% 'CI = credint (BOOTSTAT)' computes 95% credible intervals directly from
% the vec... |
1b6a76c0581b9a032ffa210099e624043d06ef0fbddebb744a5a76fae40fd56d | MATLAB | 5,883 | 208 | function [] = Fig03_AveTimeCourseSongTrans()
% Code for plotting calcium signals and song probabilities during song type transitions in Fig. 3d,f.
Target = 'pulsePref'; % Fig. 3d
% Target = 'sinePref'; % Fig. 3df
selpath = ['../Data/Summary_TN1dsx/'];
load([selpath,'Transitions'])
%%
switch Target
case 'pulsePre... |
2ee51146340651a8dd4bd2cb2aca0655540508a00dc8474ac0132c3cc9b4149c | MATLAB | 5,883 | 158 | function [Tree,isConsistent]=dendrogramSimilarity(C,Sc,Tree,varargin)
% dendrogramSimilarity Compute within-cluster similarity for hierarchy
%
% This function implements different ways to compute the within-cluster
% similarity of nodes based on the coclassification matrix for each cluster
% identified by a hierarchy.
... |
4ade621a417a429e93ef8fc3a2f25c4d906541ced67c1cf68aea1ede1fe07a36 | MATLAB | 5,883 | 131 | classdef DynamicTable < types.hdmf_common.Container & types.untyped.GroupClass
% DYNAMICTABLE A group containing multiple datasets that are aligned on the first dimension (Currently, this requirement if left up to APIs to check and enforce). These datasets represent different columns in the table. Apart from a column t... |
1f845c26b5d11695fdede9f1e199873f76403c9e798de683f2f705e878febf92 | MATLAB | 5,890 | 200 | function [] = ExtDataFig04_AveTimeCourse_OptStim_WingCut_Neuron()
% Code for plotting the tuning curves of calcium signals of each neuron induced by optogenetics in Extended Data Fig. 4l,m.
GT = 'WingCut_dPR1'; % Extended Data Fig. 4l
% GT = 'WingCut_TN1SG'; % Extended Data Fig. 4m
switch GT
case 'WingCut_dPR1'
... |
2abae1f77617d86769e5606bc7255c89e17a635e76a61cb3e4b5f3b4d3a54a32 | MATLAB | 5,891 | 155 | % callSwingStanceSteps.m
%
% Function that takes in steps (defined by start, mid, end indices),
% step parameters (calculated in computeStepParameters()), and FicTrac
% info to call each step's half step as swing or stance
% Option to call swing/stance based on half step duration: shorter duration
% of two is swing,... |
aa665a70897f178aa02e163a497d5b8b9082aad23c053891cb476f2885622aed | MATLAB | 5,892 | 58 |
%%% making GENOME_BUILD hg19
GENOME_BUILD_19=cell(25,3);
GENOME_BUILD_19(1,1)=cellstr('chr1');GENOME_BUILD_19(1,2)=cellstr('1');GENOME_BUILD_19(1,3)=num2cell(249250621);
GENOME_BUILD_19(2,1)=cellstr('chr2');GENOME_BUILD_19(2,2)=cellstr('2');GENOME_BUILD_19(2,3)=num2cell(243199373);
GENOME_BUILD_19(3,1)=cellstr('chr3'... |
f536fbc937a3f63b26c2599fe97e8ea294489f1594576224f74ab91a73765d63 | MATLAB | 5,897 | 197 | % mglTestTex.m
%
% $Id: mglTestTex.m 695 2010-02-24 08:14:14Z justin $
% usage: mglTestTex(screenNum)
% by: justin gardner
% date: 04/11/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose:
%
function retval = mglTestTex(screenNumber)
% check arguments
... |
d6af13b2b7d2f500e084ff091f09904573b1571b773892db6861c3c56300a803 | MATLAB | 5,898 | 174 | function list = find(varargin)
% XMLTREE/FIND Find elements in a tree with specified characteristics
% FORMAT list = find(varargin)
%
% tree - XMLTree object
% xpath - string path with specific grammar (XPath)
% uid - lists of root uid's
% parameter/value - pair of pattern
% list - list of uid's of matched elements... |
dc908ff8b75434d929d21ddeea56d8a516a31aef8d342f097d08b90f4b9caee1 | MATLAB | 5,902 | 175 | function results = robust_correlation(X,Y)
% General function that performs multiple tests on X and Y.
%
% FORMAT: results = robust_correlation(X,Y)
%
% INPUTS: X and Y are two vectors of the same length.
%
% OUTPUTS:
% result is a structure with one field for each output from the
% different tes... |
ffa63a6bd542946cddd2bcd7f6a795749786e675e5160deefd56bb690d3b34b3 | MATLAB | 5,910 | 177 | % savestimdata.m
%
% $Id: saveStimData.m 891 2011-01-14 07:47:12Z justin $
% usage: savestimdata.m(myscreen,task,<forceSave>)
% by: justin gardner
% date: 12/22/04
% copyright: (c) 2006 Justin Gardner (GPL see mgl/COPYING)
% purpose: saves the myscreen/task/stimulus. This will normally obe... |
26a113535de7b4fb904de7a410d9c335ae28d3ce45e08923de91ae70decf04b8 | MATLAB | 5,921 | 171 | function [gamma_min,gamma_max]=gammaRange(A,varargin)
% gammaRange Compute range of gamma values.
%
% Syntax
%__________________________________________________________________________
%
% [gamma_min,gamma_max]=gammaRange(A)
%
% [gamma_min,gamma_max]=gammaRange(__,Name,Value)
%
%
% Description
%____________________... |
94e0e228af146d710438f0dbdc1d24de8a55bd1a188575603f9597bb977e09a5 | MATLAB | 5,922 | 207 | %Benjamini Hochberg correction
clear all
clc
load('M:\Matt Chilvers\OneDrive - University of Calgary\PhD_Projects\Project3_WhiteMatterLesion\Scripts\AllRevisionsAnalysis\RegressionAnalysis_Uncontrolled\lm_data_uncontrolled.mat')
%load('M:\Matt Chilvers\Documents\PhD\Project3_WhiteMatterLesion\Scripts\Plots\Scatte... |
81b1a32f8d4a3f20c415ef0334754a5c7d03e240955454ff2d0ff1e24b122aea | MATLAB | 5,924 | 158 | %aspikes
%plot STA for units, only those whose Mdep has p<0.05 by bootstrap
% odd/even by spike
% Unit names:
% elecName - true electrode number (apperas in goodElectrodes)
% elec - the index of elec in goodElectrodes)
% elec = find(goodElectrodes==elecName);
% unitName - [elecName,unit];
% ShowUnits - by elec... |
ae6ffb705dcf78b4ce12e121d08c9bce4f3673bbf6bd8a8ffa28a5df0706e572 | MATLAB | 5,924 | 175 | function [variance,mov_distance,mov_duration,max_speed]=embedding_dimensions(Session,Area,Ndir,Nbins,t_from,t_upto,edges_dur_bin,do_plot)
%% embedding_dimensions performs PCA on the neural data from Session and
%% Area binning the movements into Ndir directions and Nbins durations
% This function also saves the PCA res... |
6dd514c518b637c7dcb18daa1ece8f9865fe630e8c25b0f12f284b900287d6b4 | MATLAB | 5,929 | 146 | function [] = plot_worm_frame_post_analysis_showing_path_mochi_data_3(I, center_lines, centerline_color, centerline_stimulus, debugimage,in_track_index,current_ellipse_ratio,smoothed_path_x,smoothed_path_y,stimulus_delivered,path_history,demo_mode,all_velocity,current_rails_dur,initial_frame,stim_color)
% % % % % % []... |
bb2982e78cc93e3f7b88e3efcb782aedbd01fac3f13fd8f79f7a3559b73cc524 | MATLAB | 5,945 | 161 | % genCondBinnedSpikerateFictracPlot.m
%
% Function that generates plot of spike rate vs. FicTrac variable 1,
% conditioned on the values of FicTrac variable 2. Plots points with error
% bars. FicTrac variable 1 is binned finely, each point represents 1 bin.
% FicTrac variable 2 is binned coarsely, each bin correspon... |
07f1978855cd32e0c5afbfdae5f3585d06f913eeaf77c85fc08f662f4ef7e844 | MATLAB | 5,947 | 148 | % mglEyelinkParams.mglEyelink
%
% usage: mglEyelinkParams()
% by: justin gardner
% date: 04/16/10
% purpose: Set/get parameters for eyelink
%
% To bring up a GUI to edit current params
%
% mglEyelinkParams;
%
% To get parameters for eyelink tracker:
%
% ... |
06231006b4957130c83d53c677e9aac9cb48bb6030bd275a45b05261d74bb288 | MATLAB | 5,955 | 105 | function [TestLNPStats] = ValidateLNP(Tracks, folder_indecies, folders, LNPStats)
%Predicts the behavioral rate based on LNP model parameters, not used in paper
% Detailed explanation goes here
numbins = 10;
all_LEDVoltages = cell(1,length(folders));
meanLEDVoltages = cell(1,length(folders));
for fo... |
37a402768c2b6a4a1861741bba9f8f5a708ddfc6157658c43f805edc8dec9edf | MATLAB | 5,961 | 142 | %% Script to obtain centiles by SCZ-SAD diagnosis (relatives and chronic)
% Copyright (C) 2023 University of Seville
% Written by Natalia García San Martín (ngarcia1@us.es)
% This file is part of Neurobiology Centiles Psychosis toolkit.
%
% Neurobiology Centiles Mapping toolkit is free software:
% you can ... |
d0f78f73b0daf860e9f46a8dfd2f26a2605399924fe8a804167cddd06dc0bcae | MATLAB | 5,961 | 121 | % uses PSPM toolbox
% https://github.com/bachlab/PsPM
% version used here: PsPM6.1
%% Prep code
addpath('/data/u_dabbagh_software/PsPM6.1', '-end');
write_data=1
prep_events=1
run_glm=1
run_sf=1
excluded_subjects = [16, 39]; % Define excluded subjects
my_sr = 100;
%% Loop over subject and sessions
for isub=1:40
i... |
02da28b9cc7bb42f97b39d20f61bcf0c0b6c1d09670c9e9c2eafd63ca25d783a | MATLAB | 5,962 | 202 | % A simple script and a few functions tomake alligned videos and plots for
% presentations
% Data is related to OXygen Dynamics project with Felix RM Beinlich
% Written by Antonis Asiminas, PhD
% June 2023, COpenhagen
%% Inputs
% Duration of recording in seconds
RecDur=1200;
% Acquisition frame rates in... |
5355a2e0a3d80ac313a041726385f06b743f4a501b7e729dab4084b10d68e1d9 | MATLAB | 5,963 | 185 | % eyeCalibDisp.m
%
% $Id$
% usage: myscreen = eyeCalibDisp(myscreen,<dispText>)
% by: justin gardner
% date: 12/10/04
% copyright: (c) 2006 Justin Gardner (GPL see mgl/COPYING)
% purpose: run eye calibration routine, dispText is optional argument that
% will display the passed ... |
9ee40fcfd2da0174ed1202b87e69a1c8e3c1ff0fee01c236a4524c66c1abe084 | MATLAB | 5,964 | 184 | function cortex = read_nimh_cortex(filename, varargin)
% READ_NIMH_CORTEX
%
% Use as
% cortex = read_nimh_cortex(filename, ...)
%
% Optional input arguments should come in key-value pairs and may
% include
% begtrial = number (default = 1)
% endtrial = number (default = inf)
% epp = read the EP... |
cc1dde9ca639b27f3e2e8b8cd8c0bc2f6d3ff0b0eb866be3e57464b415df39f3 | MATLAB | 5,969 | 153 | % clc, clear
% close all
%% a demo script to show discard too small/too dim components after network segmentation
% you can supply any other criteria (like throw away boundary components, apply vessel masks, etc)
% all threshold can be adjusted.
% last update: 5/30/2020. YZ
addpath(genpath('C:\Matlab Files\missing_... |
338ffddfb719bc95a65ed197fcc2f4b41b9e7e96c7903f6f09a4a73d8216eb7a | MATLAB | 5,971 | 184 | % disppercent.m
%
% by: justin gardner
% date: 10/05/04
% usage: disppercent(percentdone,message)
% purpose: display percent done
% Start by calling with a negative value:
% disppercent(-inf,'Message to display');
%
% Update by calling with percent done:
% ... |
a803d9e0ccb5f49a4cd7b37bc4382bce0a4af47c8d8f924c56efdb8859eb0e37 | MATLAB | 5,972 | 199 | function RunDifferentTau(InputRange)
%% Function to test MCtx RNN SOC model response to variation in time constant of the RNN
% Current version: Changing the tau of the RNN temporally scale the
% trajectories preserving their shape.
%
% INPUT
%
% InputRange: range of parameters of the vector input
%
% Note: to modify ... |
05a4b98733f417bf11912eeadbcb0958d81b51bcb2bff555242612c3ca025406 | MATLAB | 5,975 | 147 | %% s_SimpleTutorial.m
% Simple tutorial to get predicted fMRI BOLD voxel responses for
% compressive spatiotemporal pRFs using a sweeping bar stimulus.
%
% The compressive spatiotemporal model is described by
% Kim, Kupers, Lerma-Usabiaga, & Grill-Spector (2024) J Neurosci.
%
% This tutorial creates two example ... |
937c2ee099239ec4df6cd428885077a2ddc826c139cb228837fd02c0a958604f | MATLAB | 5,979 | 115 | % 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 retPool = getmyMapListValuesCond(myMapList, mySegmentTable, Condition, SessionConditions, StatName, channel... |
a887d42645b6f6867a264a123caf203a6ecf106ada057e70278852ac542521f1 | MATLAB | 5,979 | 111 | function subject_power_2014_motion_parse_v2(movement_files,skip_seconds,epi_TR,expected_contiguous_frame_count)
% FD parsing Nipype wrapper pulling in list of motion files
% Modified to read DVAR_pre_reg, DVAR_post_reg, and DVAR_post_all and store
% values appropriately in the 51x51x3 cell array of structs
%
% All var... |
3e6b215fc40bebd7df88c5eb3e1e6e727b108b695d3eb729616cb8344f78ec2e | MATLAB | 5,982 | 145 | function[freechan]=SONCreateChannel(fid,SrcChan,data,dataheader)
% Obsolete function. To write to a file use the SON32 library
%
% Create a new channel in SON file fid using the existing channel SrcChan channel header as a template.
% Channel data is contained in data. If data is type int16 a new ADC channel will ... |
a8e52d2780a6ecd47f51dffa8be06041ba9f591d7bbee7b5a63dacae1ff64fc6 | MATLAB | 5,986 | 211 | function [vert, face] = read_ply(fn)
% READ_PLY reads triangles, tetraheders or hexaheders from a Stanford *.ply file
%
% Use as
% [vert, face, prop, face_prop] = read_ply(filename)
%
% Documentation is provided on
% http://paulbourke.net/dataformats/ply/
% http://en.wikipedia.org/wiki/PLY_(file_format)
%
% See ... |
b7f4ba9f3d06a1c2dc331fa2f903eb5bdfa02a0deb27bcfc10ba33369fbdf472 | MATLAB | 5,986 | 211 | function HBM_ALS_get_features_rsDyn()
%get dynamics features from PLRNN of the form
%z_t=A*z_{t-1} + W*max(0,z_{t-1}) + h + noise
%please note that this code will not run on its own and is only intended to
%provide the reader with a precise definition of the input features,
%data files and additional functions are... |
97394ddfd59ddbebef2198a1ccb64150b8581600477ee50c17d1184e50c7dfd0 | MATLAB | 5,991 | 186 | % OCHiPerGator = Optimal Control using HiPerGator
% This script samples n parameter sets to represent the tumor
% microenvironments of n gliomas, and then calls GBMoptimalcontrol.m to
% determine optimized, personalized treatment regimens for a combination
% immunotherapy. Since this code takes some time, we used the ... |
a3f13cfd2968907d58e744e64a6ebe0e985487f324767011303735e9c439f674 | MATLAB | 5,996 | 169 | function ft_write_spike(filename, spike, varargin)
% FT_WRITE_SPIKE writes animal electrophysiology spike timestamps and/or waveforms
% to file
%
% Use as
% ft_write_spike(filename, spike, ...)
%
% Additional options should be specified in key-value pairs and can be
% 'dataformat' string, see below
% 'f... |
4c0bbf06f4811d1e474a1058d3b6041baa2b72fba66f3b512d644327ec03f2c9 | MATLAB | 5,997 | 165 | function [f_names,f] = get_features_EMG(EMG,Fs_EMG,stages_30s,window_size)
%get_time_domain_features_EMG: This function returns the EMG features for
%the paper "Machine learning predict phenoconversion from polysomnography
%in isolated REM sleep behavior disorder". The features are calculated in
%separate windows ... |
43f74004a697e6048ddd6f3c014f305aa0f427dccef9150eb4e6e50b46d5260d | MATLAB | 5,998 | 154 | % This script accurately computes and displays electric fields sampled on
% a cross-section (transverse plane) via the FMM method with accurate neighbor integration
%
% Copyright SNM/WAW 2017-2020
%% Load/prepare data
planeABCD = [0 0 1 Z]; % Equation of the plane of the cross-section (Ax + By + Cz... |
b2de80a84ec5ead4d1087e98d22417c528121cac1d1feb6c221aa84d158492ce | MATLAB | 5,999 | 193 | function sos = old_zp2sos(z,p,k,direction_flag)
%ZP2SOS Zero-pole-gain to second-order sections linear system model conversion.
% SOS = ZP2SOS(Z,P,K) finds a matrix SOS in second-order sections form
% which represents the same system as the one with zeros in vector Z,
% poles in vector P and gain in scalar K. T... |
8fdae14b1bc4de0573a8f3c328f05d81f2ed4b07f8f2e201e76d59bbcd33d1b6 | MATLAB | 6,000 | 193 | function sos = old_zp2sos(z,p,k,direction_flag)
%ZP2SOS Zero-pole-gain to second-order sections linear system model conversion.
% SOS = ZP2SOS(Z,P,K) finds a matrix SOS in second-order sections form
% which represents the same system as the one with zeros in vector Z,
% poles in vector P and gain in scalar K. T... |
5a6161ee1f8ca97861b879b9814e52ed069fc802cceda918e3acfb17a706eab0 | MATLAB | 6,003 | 137 | % Fig 8. Benchmarking analysis results for spatial scales
% 8b. Binarry Classification
% 8b-1. Inreasing spatial scale
% 8b-2. Bain-wide masks
% 8c. Regression
% 8c-1. Inreasing spatial scale
% 8c-2. Bain-wide masks
%% Set up
clear; clc;
% Load Data
basedir = '/Users/donghee/Documents/proj... |
a57fc25f3cac251fc8a55eaf8f5b122231a34815196e06e4a0a642609a00da57 | MATLAB | 6,005 | 184 | %% fixed parameters
strategy=1;
% 1: delta= (rew(T)-mean(status(T,:)))*(phi(E,TE)^2)*(phi(E,TE)-1)^2;
% 2: delta= F(E)-1
% 3: delta= (F(E)^4)*sign(rew(T)-mean(status(T,:)))*(phi(E,TE)^2)*(phi(E,TE)-1)^2;
dt=0.1; % integration step
time_trial=2000; % length of a trial in ms
t_think=500; % time before stimula, i.e., tim... |
9db101e8efe9a4ba006df8d5ee84da1383e07a93c166d09b66ae10d0d4d17cfd | MATLAB | 6,008 | 181 | % plotAvgEphysVYawVelBinFwdAcc.m
%
% Function to plot output of getCorrelationEphysFwdAccYawVel_cond_all() or
% getSlideWinEphysFwdAccYawVel_cond_all().
% Plots yaw velocity on x, normalized spike rate on y, binned by forward
% acceleration (i.e. different lines for different forward acceleration
% bins). Mean spik... |
50e8ec62fb6cca70793f513ab82eded3ef19731a7bb59b43ab51576bd981590c | MATLAB | 6,016 | 108 | function [r_s,edges_s,edge_type,myosin2,P] = create_myosin2(r_s,T_s,edges_s,edge_type,myosin2,P)
% randomly choose a free spectrin triangle in the mesh
aux_r1 = randi(length(P.myosin_Tfree));
% check the distance to the other free triangle centers
center_Tfree = (r_s(T_s(P.myosin_Tfree,1),:) + r_s(T_s(P.my... |
16a7465163fd0194996b6a0be23c81e036f76d8eed64273de67e78e070fcea0c | MATLAB | 6,017 | 155 | %% Amplitudes - form analysis
%% Data load (manual)
load('AmplitudeDistribution_Sponge_DIV18_All_norm.mat')
sponge=Bin_Values_norm;
load('AmplitudeDistribution_ECM_DIV18_All_norm.mat')
ecm = Bin_Values_norm;
load('AmplitudeDistribution_Geltrex_DIV18_All_norm.mat')
geltrex=Bin_Values_norm;
load('AmplitudeDistribution_B... |
24ef44505620ebacd9ccdab2bca2a510a5f44f5ea5957e439d9f98fb4ffcedf8 | MATLAB | 6,018 | 159 | %% IBI distribution - studio forma
%% Data load (brutto e manuale)
fig1 = openfig('IBIdistribution_Sponge_DIV18_All');
h1 = findobj(fig1,'type','histogram');
h1.Normalization = 'count';
sponge=[h1.BinEdges(1:end-1)' h1.Values'];
fig2 = openfig('IBIdistribution_ECM_DIV18_All');
h2 = findobj(fig2,'type','histogram');
h... |
efab997223ac1d2fa1e40a3989748efdd332e178fcc8174133ed5264633c90cd | MATLAB | 6,023 | 174 | function [dat] = read_plexon_ds(dirname, hdr, begsample, endsample, chanindx)
% READ_PLEXON_DS reads multiple single-channel Plexon files that are
% all contained in a single directory. Each file is treated as a single
% channel of a combined multi-channel dataset.
%
% Use as
% hdr = read_plexon_ds(dirname)
% dat ... |
f27793d16a283e2b8202ad2aeecced58430ef36675207a4f97a94cab20a3753b | MATLAB | 6,026 | 160 | function [run] = remove_badchannels(run, ID)
% REMOVE_BADCHANNELS
% This function detects the bad channels and saves this info in the info
% field of each run (run.info). Bad channels were defined as channels with
% a signal quality index (Sapia et al.2020) of less than 2 during > 50% of the
% standing still periods. A... |
826026940853f98ad116b371cfa16c5d2b359012898f544a20d84becd7176460 | MATLAB | 6,028 | 235 | function [data] = fiff_setup_read_raw(fname,allow_maxshield)
%
% [data] = fiff_setup_read_raw(fname,allow_maxshield)
%
% Read information about raw data file
%
% fname Name of the file to read
% allow_maxshield Accept unprocessed MaxShield data
%
%
% Author : Matti Hamalainen, MGH Martinos Center
%... |
fa98f260c72f808bd5752febb9f84e101bcabe52d31cc269dfc6dd236019fbf9 | MATLAB | 6,028 | 181 | function[data,h]=SONGetADCMarkerChannel(fid, chan, varargin)
% SONGETADCMARKERCHANNEL reads an ADCMark channel from a SON file.
%
% [DATA {, HEADER}]=SONGETADCMARKERCHANNEL(FID, CHAN{, START{, STOP{, OPTIONS}}})
% FID is the matlab file handle, CHAN is the channel number (1=max)
%
% [DATA, HEADER]=SONGETADCMARKERCHANNE... |
a6e63b9a4e3b5e094238fc1720878818391b99f91442f5c4fd03ee1284530494 | MATLAB | 6,032 | 233 |
function batch_ds_info=my_get_batch_ds_info(...
opts, imdb, work_info, net_config, work_info_epoch, work_info_batch)
task_idx=work_info_batch.ref.task_idxes;
task_subidx=work_info_batch.ref.task_subidxes;
% only support using one image for one batch...
batch_img_num=length(task_subidx);
assert(batch_img_num==1... |
7cd9702a13afa01a17df202f90dc7f0fdb802cd2bba1417138a38947b3606b9a | MATLAB | 6,033 | 171 | function [info] = decode_fif(orig)
% DECODE_FIF is a helper function for real-time processing of Neuromag data. This
% function is used to decode the content of the optional neuromag_fif chunk(s).
%
% See also DECODE_RES4, DECODE_NIFTI1, SAP2MATLAB
% Copyright (C) 2013 Arjen Stolk & Robert Oostenveld
%
% This file is... |
f86cef2244895d9721698a2376c343ab133c18841f40ee4d43ca4acd18331f37 | MATLAB | 6,036 | 156 | % findBoutStepIndsBall_full.m
%
% Helper function for extractOptomotorBoutsLegStepParams_fly() that takes
% in bout peak, start, and end times (output of
% findOptomotorCondYawVelPeaksFT() helper function) as well as step index
% info, and returns aligned steps, as indices into legStep matrices.
% Also, returns w... |
9ac41b88551c7e5da9640d359bc134ac80bc8bf136dd4ec3e69af055eb8fc8fa | MATLAB | 6,041 | 155 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% If you use this code, then please cite:
% 1.- Ana P. Millan, et al. "Individualized epidemic spreading models
% predict epilepsy surgery outcomes: a pseudo-prospective study."
% medRxiv (2023): 2023-03. doi: https://doi.org/10.1101/2023.03.16.232873... |
dfdfc3447cc3bd2a57b5c075af9f25edde15288568adbae2c7fcfb67b4c44fef | MATLAB | 6,044 | 202 | function [] = ExtDataFig05_AveTimeCourse_OptStim_Song
% Code for plotting the tuning curves of pulse and sine songs induced by optogenetics in Extended Data Fig. 5c.
GT = 'TN1dsx';
switch GT
case 'TN1dsx'
CellFlagNonTrans = [0,1,0,0,1,0,1,0,0,1,0,0];
end
%% parameters
nTrials = 6;
nStim = 6;
T = 1370; %... |
2c6c0a4232fdeb9a9c8f8affd5890227b96f4cbdd67f6641f3f26146f8fecddc | MATLAB | 6,046 | 221 |
%% Load Data from Voltage Divider Experiments
VTH = 0.7; % Threshold voltage Vth
VGCUTOFF = 1; % min Vg
VGMAX = 6; % max Vg
experimentdates = {'23-04-18-14-43-20','23-04-18-15-15-27','23-04-18-15-05-41','23-04-18-15-22-50',...
'23-04-18-15-32-03','23-04-18-15-40-31','23-04-18-15-52-31'};
resistanceval... |
2f06b6c5f7a3726ce50f3b793670f37beeea86cfc571cbb3114db8ab338e3a8f | MATLAB | 6,046 | 203 | function [m, xfall, sxall, syall] = inter_section(m, sttn, se, pixs, scl, sigma_x, sigma_f, sigma_d, maskc)
% register frames across stable sections
% Jinghao Lu, 02/02/2018
[pixh, pixw, nf] = size(m, 'reg');
if nargin < 4 || isempty(pixs)
pixs = min(pixh, pixw);
end
if nargin < 5 ||... |
903b46f7ef74e220cf0cf4e2cb31857240b71aab95204eb7cbfd9373601017fb | MATLAB | 6,047 | 164 | function ml_two_contexts_plot_rates_across_and_within(projectConfig)
statField1 = 'meanFiringRate';
plot_feature_rich(projectConfig, statField1);
plot_feature_poor(projectConfig, statField1);
statField2 = 'peakFiringRate';
plot_feature_rich(projectConfig, statField2);
plot_feature_poor(proj... |
9e86245b9100660b27700e6b755967fe2e5978c2ee98a7f26761b2db05029abe | MATLAB | 6,051 | 150 | function cfg_artifacts=st_process_detector_results(cfg_artifacts)
% ST_PROCESS_DETECTOR_RESULTS processes artifacts (as detected by ST_RUN_DETECTOR_SET) as follows:
% - convert continuous artifacts (event tables) to segment-based artifact grids (ST_EVENT_TABLES_TO_ARRAY)
% - expand artifacts to neighboring channel... |
55543bd601b621455bbceb7ae132ec37274eb564bd7876ec52ead39699dea3dd | MATLAB | 6,052 | 183 | %% Figure 2: Inter-Subject Agreement Analsysis
%% Inter-Subject Agreement Analsysis
U_Scales_IndVar = struct('scale',[],'UU_diag_matched2tmp',[],'kendall_tau_corr',[], 'all_combo_diagonals',[],'all_combo_kendall_tau_corr',[], 'all_combo_diagonals_matched2TMP',[], 'all_combo_diagonals_matched2IND',[],'permutation_... |
d888104a468b9f28883a940215e9fa67de97577dea8f227a86b7d3b61a62237f | MATLAB | 6,056 | 183 | % quick script mod of anova_legsIC_cond , for circular parameters
circStepParams = {'stepDirections'};
legNames = {"R1", "R2", "R3", "L1", "L2", "L3"};
disp('Select output files from saveLegStepParamCond_bouts()');
[outputFNames, outputPath] = uigetfile('*.mat', ...
'Select cond_bouts file... |
fb62b357c112d74ad063d13dce7418559a345e401b0773818ef7ee2d9324d62b | MATLAB | 6,078 | 162 | %{
Copyright (C) Cambridge Electronic Design Limited 2014
Author: James Thompson
Web: www.ced.co.uk email: james@ced.co.uk, softhelp@ced.co.uk
This file is part of CEDS64ML, a MATLAB interface to the SON64 library.
CEDS64ML is free software: you can redistribute it and/or modify
it under the t... |
8acc2299b25dfa3ddd8d453c430e1599ab1a3a8fc72201d2a7c9e03d7d472ebc | MATLAB | 6,080 | 172 | %% Set up and perform Monte Carlo simulation of diffusion in a sphere at the center of FOV
clear
restoredefaultpath
filePath = matlab.desktop.editor.getActiveFilename;
root0 = fileparts(filePath);
addpath(genpath(fullfile(root0,'lib')));
root = fullfile(root0,'data');
target = fullfile(root,'onesphere');
mkdir(target)... |
2cb8080581a5f43b28aaa64cb7a4758f8145c9c7ae4882ae959af57233b98c9f | MATLAB | 6,083 | 177 | function [T] = ml_egomaps_compute_segment_table(...
animal_pos_x_cm, animal_pos_y_cm, animal_facing_angle_deg, ...
ARENA_WIDTH_CM, ARENA_HEIGHT_CM, RADIUS_CM, ...
DISCRETIZATION_SCALE_FACTOR)
% Facing angles are such that they increase clockwise and begin
% vertical in "reversed" coordinates; y-axi... |
ca6ce0721c47c8c9530c4f76ef5e35e142ebcddab0e7b51a0d023dbf39f16752 | MATLAB | 6,083 | 176 | % plotCondBoutsStepParamLRDiff_allFlies.m
%
% Function to plot 1D step parameters for bouts aligned to yaw velocity
% peaks. From output of saveLegStepParamCond_bouts()
% One figure with 6 subplots, 1 for each leg
% Can select more than 1 output file, will plot on same graph
% Has option to plot reference steps (from ... |
2b1071eec9357daa47246bc7f43acdf01e87b1ee2ed2b53f30d6e578d613f518 | MATLAB | 6,097 | 185 | function recognition_demo(varargin)
% RECOGNITION_DEMO Demonstrates using VLFeat for image classification
if ~exist('vl_version')
run(fullfile(fileparts(which(mfilename)), ...
'..', '..', 'toolbox', 'vl_setup.m')) ;
end
opts.dataset = 'caltech101' ;
opts.prefix = 'bovw' ;
opts.encoderParams = {'type... |
b11b23b20c7425c2013d9b9c66f53990fee7f1f956216c6bfc2f56939602795a | MATLAB | 6,097 | 169 | function demo
% This demo file generates some artificial data and demonstrates how to
% implement the direct linear discriminant analysis (DLDA), as well as
% prevalence statistics.
%
% Prerequisit: niftimatlib-1.2 toolbox (https://github.com/NIFTI-Imaging/nifti_matlab)
%
% Ehsan Kakaei, Jochen Braun 2022
% (h... |
174170a4eca1d1cba2481be3444667847bf7a6e5eea03ec0d421d5e993fdc222 | MATLAB | 6,100 | 128 | function cal_params = check_cal_params(cal_params, prot_type)
% vol_params = check_cal_params(vol_params)
%
% This function checks the elements of the struct vol_params to ensure
% that all fields are set. Fields not set are set to a list of default
% parameters. The struct checked is:
%
% - cal_params - Struct ... |
e98c0056f7ea95ee38ceb47dfbc585b8e1b352f6d16cfd02ad403848ee4d5988 | MATLAB | 6,102 | 203 | %% MAIN function to extract NB propagation
%% Loading data
clear
close all
clc
[filename, pathname, filterindex] = uigetfile('*.mat', 'Select NetworkBurst file');
if isempty(strfind(filename,'NetworkBurstDetection'))
errordlg('Selection Failed - End of Session', 'Error');
return
end
cd(pathname);
load(filena... |
6950744b1e460269676f909e5117c9d9be171f541c5f601e819d656f96fad882 | MATLAB | 6,104 | 54 | function [complxDiff_norm,complxDiff,corrCoef]= GetComplxDiff6_single(SDsignal1,SDsignal2,shiftZi,shiftX,wLngZ,wLngX,deltaPhiStep)
%wLng=4;
% figure;surface(abs(SDsignal{1}(:,:,1)),'EdgeColor','none');caxis([0 5])
% wo=round(ginput(2));
disp('processing GetComplxDiff...')
phi_stepMtx=NaN.*ones(size(SDsignal1));
Amp_s... |
32df96cd7fad7aad8b78ddd76d6e111a6f6dc73345a65bf96686502deae81a54 | MATLAB | 6,105 | 163 | % 6/8/23 - Noticed that heading could be off by 180 deg, which made the fly
% appear to walk backwards when it wasn't. Manually went through all 2018
% trials (doesn't affect 2022, but those have other issues), and corrected
% it using this script.
figure;
plot(bodytraj.tZeroed, bodytraj.unWrAng);
%%
figure; plot(... |
a322922d5e52824f8df179151d2d003e2cdbe8aea7b2c3ba241da22619ce138a | MATLAB | 6,106 | 109 | % run amapOFshow
clear all; runMode = 'batch';
globals; initglobals;
PRINT_ERRORS = 0; PRINT_INFO=0; PRINT_NAN=0;
DATA_TYPE = 'EM';
PLOT_TYPE = {'tuning'}; % {'map'}, {'trajectory'}, {'tuning'}, {'map';'trajectory'} ;
%PLOT_TYPE = {'map'}; % {'map'}, {'trajectory'}, {'tuning'}, {'map';'trajectory'} ;
%PLOT... |
c97807d69a9c47af05b15c5a2cb2e82631bc640a8581efebb76581d79163399f | MATLAB | 6,111 | 157 | % This script accurately computes and displays electric fields sampled on
% a cross-section (transverse plane) via the FMM method with accurate neighbor integration
%
% Copyright SNM/WAW 2017-2020
%% Load/prepare data
planeABCD = [0 0 1 Z]; % Equation of the plane of the cross-section (Ax + By + Cz... |
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