sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
841a15066a05413e72b56093fcfef44aa91a11c86b992415dc09610e41503907 | MATLAB | 5,068 | 161 | function [TimeSpan, NuArr, Net] = RNNDynamicsDisc(Net, TimeSpan, NuExt, dt)
% Parameter processing.
if exist('NuExt','var') % External input.
if ~isempty(NuExt)
if size(Net.CParam.JExt,2) ~= size(NuExt,1) %JExt viene definito direttamente nel test
error('Num. of rows in NuExt does not match the column... |
77767efba28053d91bce044878d06581e35d82d1bd6473523da71e7c09b89838 | MATLAB | 5,069 | 136 | % PrepareFlyTracker4FixErrors(intrxfile,inflytrackerfile,inbgfile,incalibfile,inannfile,outtrxfile,outcalibfile)
% intrxfile = '/groups/branson/home/bransonk/behavioranalysis/code/SSRNN/SSRNN/Data/bowl/GMR_71G01_AE_01_TrpA_Rig1Plate15BowlA_20120316T144027/movie_JAABA/trx.mat';
% inflytrackerfile = '/groups/branson/home... |
12d94e9216f05507ebca779740b3a2ef4ccb8b3a529ebb15449cd8049d99499a | MATLAB | 5,071 | 106 | %% s_runAllModelFits.m
% Main script to fit predict time series to measured time series.
%
% Some notes about this script:
% * previous version of this function is:
% simseq_fitTemporalModelPredictiosToDataWithPreproc('stimFileName',stimFileName, ...)
% * We remove 10 TRs at the start of each predicted run's time serie... |
6d3ff8beb5471a6093347d5d2993b8daeff9e2d80c15652811b9c84de7b04582 | MATLAB | 5,073 | 144 | % dir_sub_save = 'CNMFE/cv_save_20221221';
% dir_sub_save = 'min1pipe/cv_save_20230111';
addpath(genpath('.'))
gcp;
%%
% name of the videos
list_Exp_ID={'Mouse_1K', 'Mouse_2K', 'Mouse_3K', 'Mouse_4K', ...
'Mouse_1M', 'Mouse_2M', 'Mouse_3M', 'Mouse_4M'};
num_Exp = length(list_Exp_ID);
rate_hz = 20; % fram... |
353a1464a0cf8e99898f85bde12bbf21231d354c0adfeb66560f144da7671654 | MATLAB | 5,075 | 149 | function cmap=fireprint(n,varargin)
%FIREPRINT Colormap that increases linearly in lightness (with colors)
%
% Colormap that increases linearly in lightness (such as a pure black to white
% map) but incorporates additional colors that help to emphasize the
% transitions and hence enhance the perception of the dat... |
a6dbb4211b0be9b1a751d1f53f29e5db2bf9167c40e2e1c0c8e76203abaf6a1b | MATLAB | 5,076 | 164 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [hFig] = plot_stability_bfo90_table(StabilityBFO90, DaysToSessions, STABILITY_THRESHOLD_CRITERIA)
% Makes a figure with 4 subplots each with a BFO 90
SessionsEarly = DaysToSessions(ismember(DaysToSessions.dayNum... |
a5ce954e4080887b1b5d5dec6c60b1e1cdc3cca9165d93a01967aad10acd5d2a | MATLAB | 5,078 | 187 | function [dat] = read_combined_ds(dirname, hdr, begsample, endsample, chanindx)
% READ_COMBINED_DS reads electrophysiological data from a collection
% of files that are located in one directory, where each of the files
% should contain one channel and should have the same sampling frequency
% and number of samples as ... |
a8113d820d8acecd2018d31b2c9a575405e3fb32b8a7744ddaf7d93794a5ad73 | MATLAB | 5,078 | 198 | function [nt_per_trial,inter_time_touch,length_touch]=touch_variability_behaviour(Data,selected_trials,do_plot)
%% touch_variability_behaviour calculates the most important touch parameters for the selected trials in Data
% INPUTS
% Data: data structure containing the behavioural and neural data
%
% selected_trials: bi... |
4f80b8d1260ff1114a3f4a0568916520897116638fba6d7904ce8a1c1c54285a | MATLAB | 5,079 | 150 | function [F,G] = tdp(S,p,UC,A)
% TDP time-domain parameters
% extracts EEG features very fast (low computational efforts)
% This is function was motivated by the Hjorth and Barlow
% parameters.
%
% [F,G] = TDP(...)
%
% [...] = tdp(S,p,0)
% calculates the log-power of the first p-t... |
c42057210fd94c2fff0c38a99861a6b936e48f9a132903b88f627cd441d32832 | MATLAB | 5,079 | 140 | % legImg.m
%
% Experimental Function
% For simultaneous acquisition of leg tracking and 2P imaging data
%
% INPUTS:
% settings - struct of settings from twoPhotonSettings()
% flyData - fly metadata from getFlyMetadata()
% exptDuration - duration of experiment, in seconds
%
% OUTPUTS:
% exptReturn - returns 1 up... |
adf14b144bed467c6ea1085c1f030a6e01c2c7893c134dd233f8182e721f08a7 | MATLAB | 5,080 | 137 | function writeJAABA_core(moviefilename, trk, feat, calib, outdir, ...
save_JAABA_trk_mat_file, save_JAABA_perframe_features, save_JAABA_movie_link_or_copy)
% create the output directory
if ~exist(outdir,'dir'),
[success1,msg1] = mkdir(outdir);
if ~success1,
disp(msg1... |
17f3f4249a379905f46977a09cbe262455e39da805a996eb5dcc556b7fb19de4 | MATLAB | 5,083 | 109 | %% s_runAllModelPredictions
% Main script to predict time series for entire run, based on pRF
% parameters from a separate retinotopy experiment.
%
% Written by Eline R Kupers, Stanford U 2021
projectDir = simseqRootPath;
verbose = false; % Print figures with predictions or not.
veThresh = 0.1; % Variance explain... |
cfe053a03267de25338e522b6c23ec2834a34157556a5f1daebdeafbd4144429 | MATLAB | 5,085 | 132 | function [ah_bi, ah_uni ] = pairwise_corr_plot(X, VarName, varargin)
% This function visualizes pairwise correlations among multiple variables
% using 3D histogram and also plots univariate histograms. All of the axes
% limits and color scales are synchronized across the subplots. The layout
% of the subplots is design... |
f6d010fdbf43d879af2df5a5937956f712a0ccb749e8afd2189d07fb9b4e31d0 | MATLAB | 5,089 | 147 | %%%%%%%% edit these values %%%%%%%%
frequencies = [ 1 ...
];
delays = [ 50 ...
100 ...
150 ...
250 ...
500 ...
1000];
intertrialinterval = 5; % in seconds
numtrials = 5;
stimamplitude = 6000; %in uA
stimchans1 = [9 10... |
e821df34ad775745b1a4223cd1a994010285842cd33eabead2d47ff77e70d52a | MATLAB | 5,090 | 178 | classdef parfor_progressbar < handle
% PARFOR_PROGRESSBAR Progress bar suitable for multi-process computation.
%
% H = parfor_progressbar(N, 'message', 'property',value, ...)
% creates a graphical progress bar with N iterations before completion.
% A temporary file in tempdir is used to communicate among threads... |
495d89c18b1d0312bb85846fc8381869fd20cd9d587e8a1a94d565b5a250c498 | MATLAB | 5,091 | 162 | function [TimeSpan, NuArr, Net] = LinearDynamicsDisc(Net, TimeSpan, NuExt, dt)
% Parameter processing.
if exist('NuExt','var') % External input.
if ~isempty(NuExt)
if size(Net.CParam.JExt,2) ~= size(NuExt,1) %JExt viene definito direttamente nel test
error('Num. of rows in NuExt does not match the co... |
241b41760ae4d3a6706abaf9a25bcc89a1ed14149cfb6360309d63d75a7aa06d | MATLAB | 5,094 | 120 | function latestfile = getlatestfile(directory,type, filetype, partname)
%% This function returns the latest file or folder from the directory passsed as input argument
% Inputs:
% DIRECTORY is the *FULL* path of a folder (required!!)
% TYPE is a string that is either 'file' or 'folder' (required if additional arg... |
decbd1e25e5887ace59975ac592d41ab1dd13c27e4d0d83f8b30620fd0018d53 | MATLAB | 5,096 | 182 | % plotCondAEPPEP_allFlies.m
%
% Function that takes output files from saveLegStepParamCond_indpt() and
% generates 2 plots: AEP and PEP
% Either plots mean +/- std dev for each fly or across all flies.
% Can select more than 1 output file, will plot on same graph
% Select output files through GUI
%
% INPUTS:
% datDi... |
5807e64b301c609406d264d2d8d22b2cc0cdac6d0ceb6a1c50496043e59876ce | MATLAB | 5,097 | 136 | function S = netcdf(File,varargin)
% Function to read NetCDF files
% S = netcdf(File)
% Input Arguments
% File = NetCDF file to read
% Optional Input Arguments:
% 'Var',Var - Read data for VarArray(Var), default [1:length(S.VarArray)]
% 'Rec',Rec - Read data for Record(Rec), default [1:S.NumRecs]
% Output Argum... |
6bc09ad05e2036c091d43f25834a9aba84bdb713b77de49cc85a534bd6233aae | MATLAB | 5,097 | 142 | % "Wire coil creator" tool for the entire coil. Models the outer surface
% of coil windings by multiple wire segments. The output is saved in the
% binary file coil.mat and includes:
% Pwire{:, 3} - set of nodes for all wires
% Ewire{:, 2} - set of edges/segments for all wires (current flows from the fir... |
7e54abcce894fbf4d3dfd91856d0dabc6030f41c34ddda4aca76f1d61a5af3f0 | MATLAB | 5,100 | 111 | histodone=0;
histoflag = 0;
Depth2Area = [];
AllenCCFPath = fullfile(GithubDir,'allenCCF');
if ~exist(fullfile(SaveDir,MiceOpt{midx},thisdate,thisprobe))
mkdir(fullfile(SaveDir,MiceOpt{midx},thisdate,thisprobe))
end
tmphistfile = dir(fullfile(SaveDir,MiceOpt{midx},thisdate,thisprobe,'*HistoEphysAlignment.mat'));
if... |
eea26a6e076abc37702749df6fd48ad001253271defb9d9346b43ae3c988f4eb | MATLAB | 5,102 | 156 | %%%%%%%% edit these values %%%%%%%%
frequencies = [ 10 ...
20 ...
40 ...
80 ...
100 ...
160 ...
200 ];
delays = [ 150 ...
250 ...
500 ...
1000];
intert... |
2731e53052f3d715b2f94f0e4d81b44ea060da31cc52184ae0e46c6cd7b6385d | MATLAB | 5,107 | 165 | %stochastic Lorenz system simulation
% for paper "Inferring stochastic dynamics of complex systems", T.-T. Gao,
% B. Barzel, and G. Yan
% equation from paper 'Learning stochastic dynamical systems with neural
% networks mimicking the euler-maruyama scheme'
% and 'Dynamics and transitions of the coupled Lorenz system'
... |
dee6a3529f00c080047b3e0d5e8a89f994162d2623cfcbf3aacb8daa8a442b6c | MATLAB | 5,111 | 135 | function varargout = save(tree, filename)
% XMLTREE/SAVE Save an XML tree in an XML file
% FORMAT varargout = save(tree,filename)
%
% tree - XMLTree
% filename - XML output filename
% varargout - XML string
%__________________________________________________________________________
%
% Convert an XML tree into a ... |
3bd535d71985707d47e8db12e45eac32cceb483f2a5b4380846a31910817f68d | MATLAB | 5,113 | 136 | function salimg_opt = saliencyDetection(sourceim, model, net, descPara)
if ischar(sourceim), I_org = imread( sourceim );
else
I_org = sourceim;
end
% [ hsum, wsum, I] = ImageCrop( I );
[imh_org, imw_org, c] = size(I_org);
if c ~= 3
% error('only rgb image is accepted');
I_org = cat(3, I_org, I_... |
a71df1ad1242fc295d2d9cca7498899770f031b07c52ed52c47fff81c94096e3 | MATLAB | 5,114 | 169 | function h=vl_plotsiftdescriptor(d,f,varargin)
% VL_PLOTSIFTDESCRIPTOR Plot SIFT descriptor
% VL_PLOTSIFTDESCRIPTOR(D) plots the SIFT descriptor D. If D is a
% matrix, it plots one descriptor per column. D has the same format
% used by VL_SIFT().
%
% VL_PLOTSIFTDESCRIPTOR(D,F) plots the SIFT descriptors warpe... |
cf67291ee108786ce70a9e037ce01469fa7cdc46ccf74c7757e3aaf797c2b148 | MATLAB | 5,115 | 141 | function [SD] = exportOptodes(probe, ExportLocation)
%EXPORTOPTODES Exports optodes of a probe into a SD file structure
% Creates an SD file structure for use in AtlasViewer. Add fixed springs
% between all optodes within modules to maintain the module shape when
% the probe is registered to the scalp. Add loose ... |
a66314a7fc571a2aeea6e2076aee9fb90f2816c58caf26c21ff580e3552cd21c | MATLAB | 5,122 | 121 | function rez = preprocessDataSub(ops)
% this function takes an ops struct, which contains all the Kilosort2 settings and file paths
% and creates a new binary file of preprocessed data, logging new variables into rez.
% The following steps are applied:
% 1) conversion to float32;
% 2) common median subtraction;
% 3) ba... |
cae8cb52c7ec1c7f7fda855456a20c39fb1b4f368e63c72bb7e046f388ed051f | MATLAB | 5,123 | 122 | clear;
markerbuffer(10, 1) = CEDMarker();
tmarkerbuffer(10, 1) = CEDTextMark();
rmarkerbuffer(10, 1) = CEDRealMark();
wmarkerbuffer(10, 1) = CEDWaveMark();
string = '1729 = 1 cubed plus 12 cubed = 10 cubed plus 9 cubed';
floats = rand(25, 6, 'single');
t = (2*pi)*(1:1200)/(30);
t = int16(15000*(sin(t)));
shorts = re... |
fcbea87725e5e93ba7ad632f6d3bc3c21ef62f822ae8ae63c0d02918743c193a | MATLAB | 5,123 | 174 | %figS5_HRFA_7Hz_highFR_synthetic.m
%%
clear all;
close all;
clc;
warning('on','all')
scriptdirs = {pwd; '..\..\plot'; '..\..\analyze'; '..\..\helper_functions'};
addpath(scriptdirs{:})
datadir = pwd;
ssfile = 'subsample1000_highFR_stdRP.mat';
sspath = fullfile(datadir,ssfile);
%%
fprintf('loading %s\n',sspath)... |
8e300a60e12773b1ad698330eddfd453e0f4484c662fc9628ca53a25d8296125 | MATLAB | 5,126 | 180 | function gui_l (x, y)
%
% This file is needed by FASTICAG
% The load dialog for loading new data
% and new initial guess.
% @(#)$Id: gui_l.m 8776 2013-11-14 09:04:48Z roboos $
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Global variables
% Handle to the window
global hf_FastICA... |
e2e4017d6df69b1cadd55680176f28fdb6996d893aaecec3bfda6cd0de7c1ad1 | MATLAB | 5,128 | 174 | %figS6_HRFA_32Hz_highFR_synthetic.m
%%
clear all;
close all;
clc;
warning('on','all')
scriptdirs = {pwd; '..\..\plot'; '..\..\analyze'; '..\..\helper_functions'};
addpath(scriptdirs{:})
datadir = pwd;
ssfile = 'subsample1000_highFR_stdRP.mat';
sspath = fullfile(datadir,ssfile);
%%
fprintf('loading %s\n',sspath... |
f9a3926cc7ca4244e3495b1620abf8687200eb2d8ac7bea29da79e8f3cbe4576 | MATLAB | 5,130 | 149 | function [A,S]=hierarchicalBenchmark(n,p,varargin)
% hierarchicalBenchmark Hierarchical community strucuture benchmark
%
% Syntax
%__________________________________________________________________________
%
% [A,S]=hierarchicalBenchmark(n,p)
%
% [A,S]=hierarchicalBenchmark(__,Name,Value)
%
%
% Description
%_______... |
733a45865ef46a0f9f60b0c632d484b14c82141aeaa40c3315c0d5cb1191312b | MATLAB | 5,137 | 218 |
function layer_gen_info=gen_network_pool_block(refine_config, dag_net, layer_gen_info, layer_name_prefix)
if ~refine_config.use_chained_pool
return;
end
% original implmentation:
% layer_gen_info=do_gen_block(refine_config, dag_net, layer_gen_info, layer_name_prefix);
% improved version:
... |
694ccc580a78b118cf0a2043c6e6f733e8905e341b68058476ccfced1edef6d1 | MATLAB | 5,138 | 215 | function [DATA,msg] = aedes_readswiftsgl(filename,varargin)
% AEDES_READSWIFTSGL - Read SWIFT reconstruction (*.sgl) files
%
%
% Synopsis:
% [DATA,msg]=aedes_readswiftsgl(filename,varargin)
%
% Description:
% The function reads SWIFT reconstruction SGL files. If not
% specified, [256 256 256] data... |
55f9ee245654e059dcb13852c68a5ff6f6c5721752ba2d7c82e9388f4ceccfe0 | MATLAB | 5,139 | 141 | % plotCondBinnedSpikerateFicTrac.m
%
% Function that plots spike rate vs. a FicTrac variable (yaw, forward, or
% lateral velocity), conditioned on bins of another FicTrac variable
% Pools over pData files, selected through GUI
% Only on moving bouts
% Wrapper for genCondBinnedSpikeRateFictracPlot()
%
% INPUTS:
% tDe... |
7711c3e9d9433d4d55d332b7f67891b4cb63ba9d48656af5825327d994012878 | MATLAB | 5,139 | 101 | function [sp,F] = genNextCalciumDynamics(S, cal_params, sp)
% [CB,C,F] = calcium_dynamics(S, cal_params)
%
% Function to simulate the underlying calcium dynamics with either a
% single-occupancy or quad-occupancy model of protein <=> Ca2+
% interactions. The inputs to this model are:
% - S - A Kx(nt) array ... |
8e2e75a130c018a84a690ae66670fa63ed28173d4f4b26a36cc49c2996b1b119 | MATLAB | 5,144 | 187 | function [] = ExtDataFig09_TuningCurve_OptStim_Song
% Code for plotting the tuning curves in Extended Data Fig. 9b,c.
% GT = 'w_Chr';
GT = 'pIP10_Chr';
% GT = 'dPR1_Chr';
% GT = 'TN1_Chr';
% GT = 'pMP2_Chr';
switch GT
case 'w_Chr'
Target = [1,2];
case 'pIP10_Chr'
Target = [3,4];
case 'pIP1... |
f11100a3abca83d2805d892034d76e1309ae28b2372ec7bf3939677d8a21b839 | MATLAB | 5,146 | 121 | % run amapOFshow
clear all; runMode = 'batch';
close all;
globals; initglobals;
PRINT_ERRORS = 0; PRINT_INFO=0; PRINT_NAN=0;
GDEBUGNEW.on = 0; GDEBUGNEW.fig = 33;
if GDEBUGNEW.on, figure(GDEBUGNEW.fig); clf; end;
COMPUTE.sta = 0; % what to compute in amap
DATA_TYPE = 'OF';
DATA_TYPE = 'EM';
PLOT_TYPE = {'... |
fc4488c49c970961b24380b09b680e8622322b2ecec43e2e4dc0edab42768b21 | MATLAB | 5,148 | 163 | % saveStepParamMultiCorr.m
%
% Function that takes output from saveBallLegStepParamCond_bouts() or
% saveLegStepParamCond_bouts() and gets R2 from multiple linear regression
% between specified leg step parameters. For all specified variables,
% calculate regression where each one is independent variable being
% pr... |
4c04c0ef2d53642dc74b4139319429777d9b171f12fd56dbf7cad0b21c5b6539 | MATLAB | 5,149 | 169 | function [h_marker,txtcoord]=clusterhull(mode,coord,partition,color)
%function [h_marker,txtcoord]=clusterhull(mode,coord,partition,[color])
%
%PURPOSE
%
%To draw a cluster visualization where the objects (represented by
%points) belonging to the same cluster are presented by "cluster hulls",
%polygons where the edge o... |
ed09652409af0ca3cca7b6109956ac39c297a67b61f3330d65b32735999326c9 | MATLAB | 5,150 | 175 | %figS11_HRFA_12Hz_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);
%%
fprintf('loading %s\n',sspa... |
2bfd9b48ce8625e46fbe45b2bd638b2b42e0345f4834562a73f948531eafa759 | MATLAB | 5,157 | 106 | function [experiment] = mltp_create_session_folders( obj, recordingsParentFolder, analysisParentFolder, experimentDescriptionFilename )
VERBOSE = obj.isVerbose();
if VERBOSE
fprintf('Creating the analysis folder structure (if it does not exist).\n');
end
... |
ef8331f9628a75ad923e2f6caba5ff06131988198d50b2312595697b57d40f5c | MATLAB | 5,157 | 137 | classdef CurrentClampSeries < types.core.PatchClampSeries & types.untyped.GroupClass
% CURRENTCLAMPSERIES Voltage data from an intracellular current-clamp recording. A corresponding CurrentClampStimulusSeries (stored separately as a stimulus) is used to store the current injected.
% OPTIONAL PROPERTIES
properties
... |
874203b6319dcac6686c5726ed5af405db3f20393c76aa58b4cb4f92c04725ac | MATLAB | 5,158 | 75 | function [Ex, Ey, Ez] = bemf5_volume_field_electric_grad(Points, c, P, t, Center, Area, normals, R)
% Computes electric field for an array Points anywhere in space (line,
% surface, volume). This field is due to surface charges at triangular
% facets only. Includes accurate neighbor triangle integrals for
% ... |
d5c23b2b8319a269a6d61c0f0aad0af930997fa77720d9ae3a88fbf2efaa1b65 | MATLAB | 5,160 | 178 | function [] = ExtDataFig08_OptStim_TuningCurve_Song
% Code for plotting the tuning curves of pulse and sine songs induced by optogenetics in Extended Data Fig. 8c,f.
GT = 'pIP10'; Target = 'pIP10_NR'; % Extended Data Fig. 8c
% GT = 'pMP2'; Target = 'pMP2_NR'; % Extended Data Fig. 8f
switch Target
case 'pIP10_NR'
... |
417fdde53ebd7aa67633e71db694aa92cf14ab7db929eec4d85ba1cc939f7d49 | MATLAB | 5,162 | 189 | function [] = Fig06_AveTimeCourseSongTrans_pIP10()
% Code for plotting calcium signals and song probabilities during song type transitions in Fig. 6d.
Target = 'pIP10_NR';
selpath = ['../Data/Summary_pIP10/'];
load([selpath,'Transitions'])
%%
switch Target
case 'pIP10_NR'
Ylim_1 = [.1 .45];
Yhori... |
322dba84ce6b44f0f2b44e845aa22421e27e9c8d44ebe0f6a7af761d4f77ba1c | MATLAB | 5,164 | 170 | function [ydata,errors] = tsne_p_sparse(P, parameters, no_dims, relTol)
%TSNE_P Performs symmetric t-SNE on affinity matrix P
%
% [ydata,errors] = tsne_p(P, labels, no_dims, relTol)
%
% The function performs symmetric t-SNE on pairwise similarity matrix P
% to create a low-dimensional map of no_dims dimensions (defau... |
b0fac9eb78211c50a32663d015a25dac33de5f1c23ec8fa68c135dffd3367e28 | MATLAB | 5,165 | 152 | % mglFigureText.m
%
% usage: textImage = mglFigureText(textString)
% by: Benjamin heasly
% date: 12/15/2023
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Render the given textString to an image.
% usage: textImage = mglFigureText(textString)
%
% ... |
cd7b04a546bfe31fbe7d6a47a88eb75988b350853ba6b609b19e6ee905f0c80b | MATLAB | 5,165 | 150 | function [phase_local, background, mask_eval] = VSHARP_k(GREPhaseSE, BrainMask, radiusArray, SMV_thres, Params, handles)
% [phase_local, background, mask_eval] = VSHARP_k(GREPhaseSE, BrainMask, radiusArray, SMV_thres, Params, handles)
% Author: Xu Li
% Affiliation: Radiology @ JHU
% Email address: xuli@mri.jhu.edu
%
% ... |
d0d2e0735ca1d225dc9f63633d8e7a1321475d2cfd3beec16495f6859e4a8232 | MATLAB | 5,168 | 90 | function mltp_compute_bfo_180_ac_per_cell(obj, session)
% Allow the function to run so that other functions do not break,
% but give a warning.
if session.getNumTrialsToUse() < 2
warning('This function requires the session to have more than 1 trial.');
end
% 180 degrees can be done for ... |
e66e26986751118f231afff5df52403628a34bf6bfe8c3f37446f3db0580db73 | MATLAB | 5,170 | 182 | %store_delta_matrices_nhp_data.m
% repeats the autocorrelation step only
% taking advantage of the option to save out
% the input delta matrices
%%
clear all;
close all;
clc;
warning('on','all')
%% add fn paths if not added yet
% assumes script run within local directory
scriptdirs = {
'../../analyze';
'../../helpe... |
6ef430f31132641e9de776e3eabb5f1af3f045599badce383c51541f8d8da7a0 | MATLAB | 5,173 | 142 | % legFictracImg.m
%
% Experimental Function
% For simultaneous acquisition of leg tracking, FicTrac, and 2P imaging
% data
%
% INPUTS:
% settings - struct of settings from twoPhotonSettings()
% flyData - fly metadata from getFlyMetadata()
% exptDuration - duration of experiment, in seconds
%
% OUTPUTS:
% exptR... |
d03e9d5dea50e47fd1d1a2c9d590d161313a38db7ec0d89f31e7085cddc7035f | MATLAB | 5,174 | 186 | clear all
close all
% Fig 8E, Spectrin elements detachment off
% setting up the initial configuration
P.y0 = 180;
P.x0 = sqrt(P.y0^2 - (P.y0/2)^2);
P.max_y0 = 17*P.y0/2;
P.max_x0 = P.x0*15;
[r_s,T_s,edges_s,edge_type] = create_mesh(P);
P.actin = 1:size(r_s,1);
aux = find(r_s(:,1) == min(r_s(:,1)) & r_s(:,2) <= ma... |
3234151e9d11034cb1738a5a308e91112b31b32082af2bfb135dcb149dcf9e81 | MATLAB | 5,175 | 99 | function mltp_compute_singleunit_placemap_data(obj, session)
% This will work for any shape.
fl = dir(fullfile(session.getAnalysisDirectory(), '*_singleunit.mat'));
for iFile = 1:length(fl)
singleUnitFilename = fullfile(session.getAnalysisDirectory(), fl(iFile).name);
data = load(single... |
172ec13b7eec3ae8e455badeb8a2946ed24ceddd88c602c93898065a182c4c30 | MATLAB | 5,177 | 178 | function y = no_mean_median(x,dim,flag)
%MEDIAN Median value.
% For vectors, MEDIAN(x) is the median value of the elements in x.
% For matrices, MEDIAN(X) is a row vector containing the median value
% of each column. For N-D arrays, MEDIAN(X) is the median value of the
% elements along the first non-singleton ... |
acc12fd33ff087366b648826f167b8ed78703032f4c5b28514c49db3ba8c85b3 | MATLAB | 5,177 | 143 | classdef DecompositionSeries < types.core.TimeSeries & types.untyped.GroupClass
% DECOMPOSITIONSERIES Spectral analysis of a time series, e.g. of an LFP or a speech signal.
% REQUIRED PROPERTIES
properties
bands; % REQUIRED (DynamicTable) Table for describing the bands that this series was generated from. There s... |
6a956b903e25ed8aaaaedc75758659da94180077a675c62008cf16a343ed5be4 | MATLAB | 5,178 | 139 | function [p,s,i,ot,r] = doubleFlash_trial(iTrial,p,s,i,ot,r)
% presents flashes and beeps (double flash paradigm) or visemes and
% phonemes (McGurk)
%-- fixation
Screen('DrawTexture', s.window, s.fixCross,[],s.fixCrossRect);
[~,fixOnset,~,~,~]= Screen(s.window, 'Flip');
ot.onsetFix(iTrial,1) = fixOnset;
... |
78003e911260a0923894f94123067ece14382bb25e145a6b781d9ac360047413 | MATLAB | 5,178 | 181 | function [prs,fval,H] = fminNewton(fptr,prs,opts)
% [prs,fval,H] = fminNewton(fptr,prs,opts)
%
% Simple mplementation of Newton's method for minimizing a function
%
% Inputs:
% fptr - function handle for loss function
% prs - initial value of parameters
% opts - struct with fields: 'tolX', 'tolFun', 'maxIter', '... |
1e4c143f21e66c43c0cc511085c2261672dccd0ad6e0f40b159f2995047e5cb1 | MATLAB | 5,184 | 130 | function [Neural_info,Mov_params]=neural_data_per_duration_normalised(Session,Area,sigma_filter,t_from,t_upto,duration_range)
%% neural_data_per_duration_normalised selects the neural activity and the movement parameters for all movements within the duration range.
% All neural trajectories are temporally scaled to the... |
70efdb67d8c895d71e537aa00b2e119b4e4ca5af0e0fea242b658fe6adf469d3 | MATLAB | 5,184 | 167 | % plot2LegStepParamBinBodyParam.m
%
% Function to plot two leg step parameters against each other, while
% binning by a third parameter. Operates on output of
% saveLegStepParamCond_indpt().
% Assumes saveLegStepParamCond_indpt() output file has values across the
% range of the bodytraj parameter (i.e. don't use fil... |
54394af66241ca107a300f6376a25542e5a4d3741b9cdc49696f4091e0878c5f | MATLAB | 5,189 | 141 | function imdb = setupVoc(datasetDir, varargin)
% SETUPVOC Setup PASCAL VOC data
% IMDB = SETUPVOC(DATASETDIR, 'EDITION', '2007') setups the
% PASCAL VOC 2007 data. This is similar to SETUPGENERIC(), but adapted
% to the peculiarities of this dataset. In particular, the
% difficult image flag and the fact tha... |
e8c14b82a3c72fa2e45f563a3f1191891ac8312ccc19761c6f8149741f88ce9b | MATLAB | 5,191 | 105 | function [fluor_smoothed, Noise_trace, smoothing_param] = smoothing_UFARSA(opt,fluor_preSmoothing)
% [fluor_smoothed, Noise_trace, smoothing_param] = smoothing_UFARSA(opt,fluor_preSmoothing)
%
% this function performs a high-frequency noise reduction of the fluroescence trace, based on
% the SMOOTHN method. Follo... |
a338cb94c6b577472a18dc3e6e9628592e7045256574d5422feb33a55e5c30df | MATLAB | 5,195 | 150 | %Test FmaxGND function
%
%AUTHOR: Eric Fields
%VERSION DATE: 12 June 2020
global test_xls_output;
if isempty(test_xls_output)
test_xls_output = true;
end
%Load a GND for testing
FMUT_dir = fileparts(fileparts(which('B_FmaxGNDTest')));
load(fullfile(FMUT_dir, 'testing', 'data', 'EmProb_13subs_Test.GND'... |
303470997f40cee994eaaa2a76254835cd512fe4925a6a4660f710897da687ec | MATLAB | 5,196 | 171 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [hFig] = plot_stability_bfo90_table_percell(analysisSettings, analysisResults, DaysToSessions, STABILITY_THRESHOLD_CRITERIA)
[T] = compute_stability_table(analysisSettings, analysisResults)
% Makes a figure... |
3157cda1cc99c033aee0605d88744507f4ca30451edcb2cdcaff9084f4fdd187 | MATLAB | 5,197 | 145 |
%# usage: b = fb_fir1(n, w [, type] [, window] [, noscale])
%#
%# Produce an order n FIR filter with the given frequency cutoff,
%# returning the n+1 filter coefficients in b.
%#
%# n: order of the filter (1 less than the length of the filter)
%# w: band edges
%# strictly increasing vector in range [0, 1]
%# ... |
366c6add12b4cfd9fa01ba53ae54d4f59077700ddeb778255f869a11d539656b | MATLAB | 5,202 | 183 |
function my_net_backward(net_info, work_info_batch, data_info, net_run_config)
gpu_mode=net_run_config.use_gpu;
if gpu_mode
if ~net_info.ref.net_on_gpu
my_move_net(net_info, 'gpu') ;
end
data_info.ref.output_info_layers{end}=...
move_output_info_gpu(data_info.ref... |
c372db5640059520c2f41e13ce5dbe71c6d57c134b7114b93ae32d94191638ba | MATLAB | 5,203 | 126 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [analysisInput] = analysis_load_marc_calcium_input_data(analysisSettings, dataFullFilename)
% Load the main rectangular placemap data
if isempty(dataFullFilename)
[dataFilename, dataPath] = uigetfile();
... |
cecd58d1c326710ddfef0038c354e68951c18f77dae89b6f08f3aeefc52cc3ed | MATLAB | 5,205 | 144 | % For added_refined_masks
% dir_SUNS_sub = fullfile('SUNS_TUnCaT_SF25','4816[1]th4');
% dir_SUNS_sub = fullfile('SUNS_FISSA_SF25','4816[1]th3');
% dir_SUNS_sub = fullfile('SUNS_TUnCaT_noSF','4816[1]th2');
% dir_SUNS_sub = fullfile('SUNS_FISSA_noSF','4816[1]th2');
addpath(genpath('.'))
gcp;
%%
% name of the videos
list... |
5acea26520b145b14d5e4c78562c600b7d435230f5e8cc78e90b6b7f2df01ae5 | MATLAB | 5,207 | 179 | function datout = spike22dat(filename, chans)
%% Converts Spike File to continuous data structure
%
% Input:
% filename
% (chans) - which channels to import
%
% Output:
% datout - dat object with fields:
% 'data' - column vector of numeric data (row)
% 'chanlabels' - string labels for each channel
% ... |
22a20ba3ce2f646386b86832506d3f5b5340c85d32d18f29002f414ab35e4bb3 | MATLAB | 5,208 | 118 | %%% demo of the full MIN1PIPE %%%
clear
warning off
gcp;
min1pipe_init;
addpath(genpath('../ANE'))
%% Set data and folder
patch_dims = [50,50];
list_Exp_ID = { 'c25_59_228','c27_12_326','c28_83_210',...
'c25_163_267','c27_114_176','c28_161_149',...
'c25_123_348','c27_122_121','c28_163_... |
36c542a38cb4f07109631bc3dd765c7fad8a5d4d00cfe16f6d94b51a3da97491 | MATLAB | 5,211 | 179 | % f_findHFOxSLL.m [As a part of HFO Detection Project]
% Written by:
% Miguel G. Navarrete Mejia
% Electrical Engineering MS candidate
% UNIVERSIDAD DE LOS ANDES
% Colombia, 2012
% mnavarretem@gmail.com
function m_HFOEvents = f_findHFOxSLL(pstr_SignalPath,ps_SignalIdx,st_HFOData,...
... |
53e16d773418a4e308cdd76367131cdc42d2ce9c0709b29bbceb933c2e8cd9e3 | MATLAB | 5,218 | 182 | function [] = ExtDataFig08_Example_TimeCourseRaw_vPR9NP_SS3()
% Code for plotting the example time courses of delta F/F in Extended Data Fig. 8j.
GT = 'vPR9NP_SS3';
switch GT
case 'vPR9NP_SS3'
Target_FileID = 10;
Target_ROI = 1;
Target_Trial = 5;
Target_WithinTrialID = 4;
T... |
847fd8c011c58607fa239f6c1af461752d8536a646fbceb8f7226792132bb796 | MATLAB | 5,218 | 152 | clear
close all
clc
% Credit: Esfahlani et al. (2022).
% functions come from:
% • Brain connectivity toolbox (https://sites.google.com/site/bctnet/)
% • Caio Seguin's github (https://github.com/caioseguin/connectomics/)
% • Custom code written for this paper specifically
% if you use this script, please cite:... |
b4a0980a9785b1bf77b9319c84566c202145f22519b2e495e72655acb67a26ff | MATLAB | 5,219 | 141 | function template = fillClass(name, namespace, processed, classprops, inherited)
%name is the name of the scheme
%namespace is the namespace context for this class
%% PROCESSING
class = processed(1);
allProperties = keys(classprops);
required = {};
optional = {};
readonly = {};
def... |
507d68acdc0d44713b83767aae8f5db5daca081e6b7a429b7f2740273391e721 | MATLAB | 5,224 | 171 | % 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 ... |
963d0892ee8b79f05229420a9d4b2e38a4515624f319ef69cc4a552ec7ca1e03 | MATLAB | 5,224 | 148 | % findFlyNotMovingBody.m
%
% Function that takes in fly's smoothed translational speed and smoothed
% angular speend, thresholds on those speeds, and a minimum bout length
% to extract when the fly is moving or not moving.
% Fly is not moving when speed below both thresholds
% Merges bouts that are too short and ass... |
d2d5954c41415e08f70bc5416b6cd4b0ccb25e43b5dd7576ce1f7ec4d8728e53 | MATLAB | 5,228 | 153 | function mltp_compute_best_match_rotation_rect(obj, session)
if strcmpi(obj.getArena().shape, 'square')
[bfo_dist, angleCorrelations, angleCounts] = compute_best_match_rotation(obj, session, 'square');
elseif strcmpi(obj.getArena().shape, 'rectangle')
[bfo_dist, angleCorrelations, angleCounts]... |
6cf83351381658de0bac7b2b78634f14fed3f693e02e164b4f52dcb13415b8a4 | MATLAB | 5,229 | 153 | function d = getdict
% Dictionary of NIFTI stuff
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: getdict.m 8776 2013-11-14 09:04:48Z roboos $
persistent dict;
if ~isempty(dict),
d = dict;
return;
end;
% Datatype
t... |
885eb6f72084ae2ef2010acd5ae6eb6b3acf0b182a2796cb23eaaadb145dbcce | MATLAB | 5,236 | 169 |
function cnn_epoch_evaluate(work_info, opts, imdb, net_config, work_info_epoch)
if ~work_info.ref.run_eva
return;
end
if opts.use_dummy_gt
return;
end
eva_param=opts.eva_param;
class_info=eva_param.class_info;
eva_result_epoch=work_info_epoch.ref.eva_result;
valid_task_flags=work_info_epoch.ref.valid_ta... |
9134ca2b6ee9a46d34cb31de3b0231e932cd85013a09ea8bf0f7ad0dfc5ed1b9 | MATLAB | 5,243 | 122 | %Reduce data to the simplest design that can calculate an equivalent
%effect. For example, for a 3 x 2 design, the main effects can be
%calculated by averaging across the other factor and then conducting a
%one-way ANOVA. Similarly, the interaction effect an be calculated by
%subtracting across the factor with two ... |
4345cfb852aae31b1c34d4fe6f25b9ceb2287184bcef3fc6a9363a06148309d7 | MATLAB | 5,246 | 155 | close all;
clear all;clc
% dbstop if error
% dbstop at 45 in AP_Statistic
Fidx{1}=dir('DATA_C*.mat');
Fidx{2}=dir('DATA_T*.mat');
GroupName={'C','T'};
%
% WantState=2;%1/2£º·ÖÎöwith/without holding״̬ϵÄÊý¾Ý
NumbWant=1;
BinWidth=50;
BinL=0:BinWidth:900-BinWidth;
BinR=BinL+BinWidth;
Bin=[BinL(:),Bi... |
54c0ea2e392ad065cee27ab0a90b56118622a97d508abb5be6352eaa7717fa4e | MATLAB | 5,246 | 182 | function [] = ExtDataFig08_Example_TimeCourseRaw_vPR9NP_SS1()
% Code for plotting the example time courses of delta F/F in Extended Data Fig. 8g.
GT = 'vPR9NP_SS1'; % 3-3-5, 3-4-1, 3-5-2; 6-1-5
switch GT
case 'vPR9NP_SS1'
Target_FileID = 3;
Target_ROI = 1;
Target_Trial = 5;
Target_... |
388a4cd27f86f055799ce131701fa2c1e896ffc8bad8608176eb458fe4a5b0f1 | MATLAB | 5,251 | 143 | classdef IndexSeries < types.core.TimeSeries & types.untyped.GroupClass
% INDEXSERIES Stores indices to image frames stored in an ImageSeries. The purpose of the IndexSeries is to allow a static image stack to be stored in an Images object, and the images in the stack to be referenced out-of-order. This can be for the ... |
084b4bf63f03ae7b3976922fb10aa00f91394a2247da116224738c5c18af3418 | MATLAB | 5,260 | 198 | % plotfresp() - Plot a filter's impulse, step, magnitude, and phase response
%
% Usage:
% >> plotfresp(b, a, nfft, fs, causal);
%
% Inputs:
% b - vector numerator coefficients
%
% Optional inputs:
% a - scalar or vector denominator coefficients (IIR support is
% experimental!) {default 1}
% nf... |
90bd64c4ac27aeee15f4f8ab99759a64694c75c078afbe8ba362a2895cc815b6 | MATLAB | 5,262 | 194 | clear;clc;%close all
dbstop if error
cd('Z:\1_Maxwell_Gagnon\ProjectData_Amin\Boris Recordings\Experiment 2\drive-download-20180713T210854Z-001\Raymond_071318_LFP_M2\Recording_1')
savename = 'd\d_100Hz';
savename=strcat(savename,'.mat');
load(savename)
samplerate = 101.7253; % mouse 115, recording 1 (only recording)
... |
0883bb6d42a5d7135c91911b180edc5e4b585f676ac4c8f4d45971812e3f4bde | MATLAB | 5,263 | 115 | function mlgp_compute_bfo_percell_180(obj, session)
%fprintf('\tComputing bfo 180 for session %s\n', session.getName());
sessionName = session.getName();
placemapDatabaseFilename = fullfile(session.getAnalysisDirectory(), sprintf('%s_placemaps.mat', session.getName()));
if ~isfile(placemapData... |
ca34145562c8da0fc6eded2ded52f5a5e388c66e8aee430480ec7aa07f90dfdb | MATLAB | 5,263 | 184 | function [] = Fig06_Example_TimeCourseRaw_pMP2NP()
% Code for plotting the example time courses of delta F/F for a pMP2 neuron in Fig. 6f.
GT = 'pMP2';
switch GT
case 'pMP2'
Target_FileID = 7;
Target_ROI = 6;
Target_Trial = 6;
Target_WithinTrialID = 3;
TargetMic = 2;
end
F... |
5b2fa5de7696ddbaf7d3a99a7913bffda5450afafc54f9146464eeeea0e1af62 | MATLAB | 5,264 | 122 | %%% demo of the full MIN1PIPE %%%
clear
warning off
gcp;
min1pipe_init;
addpath(genpath('../ANE'))
%% Set data and folder
scale_lowBG = 5e3;
scale_noise = 1;
data_name = sprintf('lowBG=%.0e,poisson=%g',scale_lowBG,scale_noise);
patch_dims = [253,316];
rate_hz = 10; % frame rate of each video
path_name = fullfile('..... |
6a992e5d5e6c34dd29e62fa93ce9b4392e7d1475d27caa4d458dfdea60115c5e | MATLAB | 5,266 | 120 | %% population trajectory
clear
load('stable.mat')
for i=1:493
go=[population.goHit.eachDF{i}(46:90,:) population.goMiss.eachDF{i}(46:90,:)];%cue resposne time
go=(go-mean(go(1:15,:)))./std(go(1:15,:));
stable.goR(:,i)=mean(go,2,'omitnan');
nogo=[population.nogoCR.eachDF{i}(46:90,:) population.nog... |
cf6cda263fcbe5c64578c82b8403861adb4396b76c444732a68c677ce36a091c | MATLAB | 5,266 | 184 | function [] = Fig06_Example_TimeCourseRaw_pIP10NP()
% Code for plotting the example time courses of delta F/F for pIP10 neurons in Fig. 6c.
GT = 'pIP10';
switch GT
case 'pIP10'
Target_FileID = 5;
Target_ROI = 3;
Target_Trial = 6;
Target_WithinTrialID = 1;
TargetMic = 2;
end... |
0470162d5b80249c47c8aed94423d633a1bac56fbc2f03b84edf14fc81b6c154 | MATLAB | 5,267 | 177 | function varargout=subsref(obj,subs)
% SUBSREF Subscripted reference
% An overloaded function...
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: subsref.m 8776 2013-11-14 09:04:48Z roboos $
if isempty(subs), return; end
... |
daadb5ef0f8ce9c39c7a999c1d25c49a1c8dc15d4d31cf77ffc370f74195d378 | MATLAB | 5,273 | 123 | % run amapOFshow
clear all; runMode = 'batch';
close all;
globals; initglobals;
PRINT_ERRORS = 0; PRINT_INFO=0; PRINT_NAN=0;
GDEBUGNEW.on = 0; GDEBUGNEW.fig = 33;
if GDEBUGNEW.on, figure(GDEBUGNEW.fig); clf; end;
COMPUTE.sta = 0; % what to compute in amap
DATA_TYPE = 'OF';
DATA_TYPE = 'EM';
PLOT_TYPE = {'... |
e103775edc054709f513fa405a78f0d835d3323a3fe28eea587f28a490204c65 | MATLAB | 5,273 | 107 | function [var,pval,weights,res,Y_pred] = NCP_11_run_CCA(X,Y,cfg,molecular_names_table,dx_title,X_rot_ordered,type)
save([cfg.dir.project,'\data\X.mat'],'X')
save([cfg.dir.project,'\data\Y.mat'],'Y')
% Update cfg with defaults
cfg = cfg_defaults(cfg);
% Run analysis
main(cfg,X_rot_o... |
66525bfee1c2905d274e5f600e5c6b82de522545ad23ebde98ef47d4f52f064c | MATLAB | 5,276 | 145 | % For added_refined_masks
% dir_SUNS_sub = fullfile('SUNS_TUnCaT_SF25','4816[1]th6');
% dir_SUNS_sub = fullfile('SUNS_FISSA_SF25','4816[1]th3');
% dir_SUNS_sub = fullfile('SUNS_TUnCaT_noSF','4816[1]th2');
% dir_SUNS_sub = fullfile('SUNS_FISSA_noSF','4816[1]th2');
addpath(genpath('.'))
gcp;
%%
% name of the videos
list... |
7cf04c2ad1f1f00722ca22bd4859b1261bf0cef928b1806341021a81af077a31 | MATLAB | 5,278 | 233 | %
% Plot a hop plot.
%
% PARAMETERS
% $network
%
% INPUT FILES
% dat/hopdistr.$network
%
% OUTPUT FILES
% plot/hopdistr.[abc...].$network.eps
% a - Unscaled
% b - Logistic distribution
% c - Cauchy distribution
% d - Hyperbolic secant distribution
% e - Normal distribution
% f - Weibull distribution
% g - E... |
cc18936da16178fc11272171cd49cb31272c4a736ec0ce98bb3ff057570c2695 | MATLAB | 5,278 | 182 | function specific_filtered_movement_regressors(path_mov_reg,TR,filt_option,order,HCP_mat_path,FNL_preproc_version,PMU_dir,functype,restnum)
%% This function applies a low pas filter to the motion numbers and save it with a different number
%save('/mnt/max/home/andersp/FNLpreproc_v3_workspace.mat')
%load('/mnt/max/home... |
d43340dbe236c0fea2eca4a17cf3dae33d9be4aa4bc9083c50c78e7df4d380da | MATLAB | 5,278 | 155 | function descrs = encodeImage(encoder, im, varargin)
% ENCODEIMAGE Apply an encoder to an image
% DESCRS = ENCODEIMAGE(ENCODER, IM) applies the ENCODER
% to image IM, returning a corresponding code vector PSI.
%
% IM can be an image, the path to an image, or a cell array of
% the same, to operate on multiple ... |
3c17f64b80fff2e7e94266db2708abaa22a941c8f7d54528a34ac7fe39d03900 | MATLAB | 5,279 | 161 | clear
close all
clc
addpath(genpath('J:\Data\Matlab'));
%% Load file
[spreadsheet,sheetpath] = uigetfile('*.txt','Select a txt file'); % Load the excel spreadsheet
cd(sheetpath);
t = readtable(spreadsheet); % number of segments, index of seg type(1:soma; 2:axon; 3:dend),x,y,z, dia, parent seg (-1:... |
4b67fb92d4c8370c83e11b70ff56b8f8f64060fcee37af56a600e790c3a20c94 | MATLAB | 5,279 | 124 | function [hdr] = read_biosig_header(filename)
% READ_BIOSIG_HEADER reads header from EEG file using the BIOSIG
% toolbox and returns it in the FCDC framework standard format
%
% Use as
% [hdr] = read_biosig_header(filename)
%
% The following data formats are supported: EDF, BKR, CNT, BDF, GDF,
% see for full document... |
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