sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
b97a2fcc4888c54342bc8c5386a2b6f358d51506b0300b59d0d1c2695cdad7e6 | MATLAB | 2,200 | 48 | function results = CulcVesselDistMat(mask_p,boundary,F2S)
% setting variables
boundary_l = boundary(1:6,:);
boundary_r = boundary(7:end,:);
[k_l,~] = convhull(boundary_l);
[k_r,~] = convhull(boundary_r);
% Detect object perimeter in binary images
mask_bound = bwperim(mask_p,8);
figure;
imshowpair(mask_p,ma... |
553389f72e13acc016a8964da12cbc5664fda75fa75b1ff6741d5dcab715f89b | MATLAB | 2,202 | 68 | % rcepsminphase() - Convert FIR filter coefficient to minimum phase
%
% Usage:
% >> b = minphaserceps(b);
%
% Inputs:
% b - FIR filter coefficients
%
% Outputs:
% bMinPhase - minimum phase FIR filter coefficients
%
% Author: Andreas Widmann, University of Leipzig, 2013
%
% References:
% [1] Smith III, O. J. (20... |
d382e6567a0f2bdc9fc07aead2205f2658daa7c44c81a281cf6922b8a83c8481 | MATLAB | 2,202 | 62 | function [mu, sigma] = SNR_normalization(trace,meth_sigma,meth_baseline)
% Possion noise based filter act on the traces, and calculate the median and
% std of the filterd trace
% Inputs:
% trace is the raw trace. Each row is a timeseris of a neuron. Each column is a time frame.
% meth_sigma is the method to de... |
ac25dc8c1b04ddd2629c20eb0d334896327b31d472f85ba438d6470acdf77687 | MATLAB | 2,205 | 65 | function [vol] = read_ctf_hdm(filename);
% READ_CTF_HDM reads the head volume conductor model from a *.hdm file
%
% vol = read_ctf_hdm(filename)
% Copyright (C) 2003, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fieldtrip
% for the documentation and details.
%
% FieldTri... |
7c758f93bb590d497266e55d961abe2ad396d52bf767cd1d7c6dbf44dfbaebe9 | MATLAB | 2,206 | 67 | function handle = ternary_tick_lines( handle, varargin )
% ternary_tick_lines create axes tick lines
%
% Inputs
%
%% Check Inputs
% Check if handle is given
if (nargin==0)
error('Too few inputs')
end
% Create defaul settings if no extra arguments supplied
if ( nargin < 2... |
43eacabc8e1af2a1ce92ea013edbfee81e7a2346aa13a8255cc21c0f490a33fb | MATLAB | 2,208 | 68 | function [pupil, edgeThresh, epx, epy, epx2, epy2] = detectPupilQuick(img, circen, crx, cry, crr, varargin)
%% Process imputs
p = inputParser;
addOptional(p,'pupilStart',[]);
addParamValue(p,'radiiPupil',60);
addParamValue(p,'edgeThresh',30);
addParamValue(p,'MinFeatures',.6,@(x)x<1||x>0)
parse(p,varargin{:})
pupilS... |
ec88be2c8ca98941110860ae97f6ae48dee5e075f9d012c010a5feca9d5ccb2f | MATLAB | 2,208 | 62 | function [mu, sigma] = SNR_normalization(trace,meth_sigma,meth_baseline)
% Possion noise based filter act on the traces, and calculate the median and
% std of the filterd trace
% Inputs:
% trace is the raw trace. Each row is a timeseris of a neuron. Each column is a time frame.
% meth_sigma is the method to de... |
f849155ac60ce6c5ecaaf068df816c6dd09321906430ae3cd3e7e3ad47e1ef01 | MATLAB | 2,208 | 73 | function [hdr] = ft_fetch_header(data)
% FT_FETCH_HEADER mimics the behaviour of FT_READ_HEADER, but for a FieldTrip
% raw data structure instead of a file on disk.
%
% Use as
% [hdr] = ft_fetch_header(data)
%
% See also FT_READ_HEADER, FT_FETCH_DATA, FT_FETCH_EVENT
% Copyright (C) 2008, Esther Meeuwissen
%
% This ... |
3d6a21fe62de2fc9c9f4e9719ea842aa3576039c9475eb4f9b73ad84429fdf3a | MATLAB | 2,209 | 54 | function [perCell, uniqueCellIds] = ml_algo_bfo_percell_general(placemaps, cellIds, contextIds, trialIds, rotationsDeg)
uniqueCellIds = sort(unique(cellIds));
uniqueContextIds = sort(unique(contextIds));
uniqueTrialIds = sort(unique(trialIds));
numTrials = length(uniqueTrialIds);
numCells = le... |
0836c9aea6bd947821a031e6f6a18a91e7e5c8354349851c53f8ce1dab53486d | MATLAB | 2,210 | 59 | function [wRidge,rho,SDebars,postHess,logevid] = autoRegress_PoissonRidge(xx,yy,fnlin,iirdge,rhoNull,rhovals,w0)
% [wRidge,rho,SDebars,postHess,logevid] = autoRegress_PoissonRidge(xx,yy,fnlin,iirdge,rhoNull,rhovals,w0)
%
% Computes empirical Bayes ridge regression filter estimate under a Poisson-GLM.
%
% Inputs:
% ... |
2e5574e74aebd895c3856d255244d9ed3146d4d4cb2efe00f36b84626a761e12 | MATLAB | 2,210 | 90 | function dtvariance_patch(path_list_file,varargin)
%% Internal variables
fs=filesep;
%% Define defaults
% Save in BIDS folder, default NO,
save_in_BIDS_folder=0;
output_folder=[pwd fs 'dtvariance_files'];
%
string_to_match=['*func' fs '*rest*bold*dtseries.nii*'];
%% Read additional arguments, if provided
v = le... |
6db195e08d739d5bca6de3eb97917d675f41a5a18aa6b5ba7625319f33cc9a8e | MATLAB | 2,210 | 67 | function [status] = QSM_cluster(varargin)
% this is the cluster version with no gui interaction
% status = QSM_cluster(varargin)
% Example call:
% ParamsSetFile = 'ParamsSetting_cluster.m';
% LogFile = 'logd.txt';
% QSM_cluster(ParamsSetFile, LogFile)
% 2024-05-31, update with TableDataFile argument
if nargin ... |
9784a54916400ad7e4db746857fe28030bef67a9f224bd9d125ab4839fc1346b | MATLAB | 2,210 | 58 | function mltp_plot_bfo_general_placey_sessions(obj, rotDeg, group)
numAngles = 360/rotDeg;
angles = (0:numAngles-1)*rotDeg;
% Load the data
fn = fullfile(obj.Experiment.getAnalysisParentDirectory(), sprintf('bfo_%d_placey_%s_avg.mat', rotDeg, group));
if ~isfile(fn)
error("The file (%s)... |
5b8491f562467f9b114444d6210e0929a692ae79364fb50a5070bf516a1998a8 | MATLAB | 2,212 | 78 | % mglGluDisk - draw disk(s) at location x,y; alternative to glPoints for circular dots
%
% $Id$
% usage: results = mglGluDisk(x, y, size, color, [nslices], [nloops], [antialiasing])
% by: Benjamin Heasly
% date: 03-17-2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYI... |
abaa01ed8b24d1524055d726aa2a8cb930eb8c5bdb5682e006eb23d048c2b2ef | MATLAB | 2,213 | 74 | % filtDigraphBySynNum.m
%
% Function to filter digraph by number of synapses. Only keep connections
% (and corresponding neurons) with greater than or equal to minSynNum
%
% INPUTS:
% s - source neurons, maps all connections
% t - target neurons, maps all connections
% weights - number of synapses for all connec... |
91e77fb4ca5a394960b3dd12910864f49bae4d50244e0e88d0c208ddc482fbd3 | MATLAB | 2,215 | 67 | % not used in paper
folder_name = uigetdir
cd(folder_name) %open the directory of image sequence
allFiles = dir(); %get all the tif files
fps = 14;
allTracks = struct('maxVoltage', {}, 'LEDVoltages', {}, 'reversalCounts', {}, 'frameCounts', {}, 'order', {});
order = 1;
for file_index = 1:length(allFiles)
if allFi... |
a65d6071d8da75a8ece586c6fefc96165e2b5c4db2d53180932b319e27786e78 | MATLAB | 2,218 | 61 | % data_ind = 4;
addpath(genpath('.'))
%%
% name of the videos
list_data_names={'blood_vessel_10Hz','PFC4_15Hz','bma22_epm','CaMKII_120_TMT Exposure_5fps'};
list_ID_part = {'_part11', '_part12', '_part21', '_part22'};
list_avg_radius = [5,6,8,14];
list_lam = [15,5,8,8];
r_bg_ratio = 3;
data_name = list_data_names{data... |
b370a4ff4619d7e2d703a8beccde1c6acf12f776669a1064d7194d9c49ad5162 | MATLAB | 2,218 | 59 | %{
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... |
f0844c6895622bdca145b1b02105b3b87d04bc4d178babb338ef8666b60bc837 | MATLAB | 2,218 | 67 | classdef EnumData < types.hdmf_common.VectorData & types.untyped.DatasetClass
% ENUMDATA Data that come from a fixed set of values. A data value of i corresponds to the i-th value in the VectorData referenced by the 'elements' attribute.
% OPTIONAL PROPERTIES
properties
elements; % (Object Reference to VectorDat... |
21154cfd0df19cadf4f9fd95efaa0c85af347d60c7f9d29443a8cd1694fb4136 | MATLAB | 2,219 | 52 | clear; close all;
[pathstr,name,ext] = fileparts(pwd);
usedir = pathstr;
maindir = pwd;
input_file_path = fullfile(usedir,'bids','sourcedata','Scan-Social_Doors','data');
warning off all
subs = load('sublist_all.txt');
tasks = {'facesA1', 'facesA2','facesA3','facesA4',...
'facesB1','facesB2','facesB3','facesB4',.... |
55da4373e70b8df7ade558bf839cdb0489e0b8d1ca8759fa1f02b64af3d858b8 | MATLAB | 2,220 | 84 | classdef MLTrial < MLTrialInterface
%MLTrial An implementation for trial interface
% An implementation for a trial interface
properties (SetAccess=private, GetAccess = protected)
Name
SliceId
TrialId
ContextId
Digs
HasDigs
IsEnabled
... |
773b2365881b586962067c9b337fd8c7fe84e2384db1e8250e04855b4b8f7ce3 | MATLAB | 2,220 | 50 | function scan_params = check_imaging_params(scan_params)
% scan_params = check_scan_params(scan_params)
%
% This function checks the elements of the struct scan_params to ensure
% that all fields are set. Fields not set are set to a list of default
% parameters. The struct checked is:
%
% - scan_params - Struct ... |
e2e9e6af93d5a5d3a8e179b4f1be0c4e26df1d44cf4c4fbbf9116d8fe8ab3ec0 | MATLAB | 2,223 | 68 | %% Adapted from AllenSDK python function demixer.py
% # Allen Institute Software License - This software license is the 2-clause BSD
% # license plus a third clause that prohibits redistribution for commercial
% # purposes without further permission.
% #
% # Copyright 2017. Allen Institute. All rights reserved.
%
% # ... |
887d8e2d14952b8c4efd2dac75d32e65822350fdec13d1f19963ea342f26f5b6 | MATLAB | 2,224 | 68 | %{
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... |
e727f98f375020b5d3e49fe4e4a8e82b6a1044536687a17441888c0e49a23f91 | MATLAB | 2,224 | 64 | function write_TPM_movie(mov, save_name, varargin)
% function write_TPM_movie(mov,save_name,{dataType,dataHeader,blockSize})
%
% Write the 3-D array in mov to a file. Can writ to either a tiff stack, a
% fits file, or a matlab '.mat' file. The mode is automatically chosen
% based on the extension of the file-name ... |
4683964f6207d0c699da753f738c5d85399f1721046bab53bd0a1718046bf515 | MATLAB | 2,225 | 53 | function mltp_make_session_orientation_plot_aligned(obj, session)
if obj.isVerbose()
fprintf('Making the session orientation plot (aligned/canonical).\n');
end
h = figure('name', sprintf('Session %s', session.getName()), 'Position', get(0,'Screensize'));
% Fixme! Increase the size if it wont fi... |
4f4922f255ee46ff8f1308c506c131fba1b6098dd9c4b98fffa7f285a6110a1f | MATLAB | 2,225 | 68 |
function plotYawFwdSpikerateHeatmap(tDelay, spikeRateScale)
% prompt user to select pData files
[pDataFNames, pDataPath] = uigetfile('*.mat', 'Select pData files', ...
pDataDir(), 'MultiSelect', 'on');
% if only 1 pData file selected, not cell array; make sure loop still
% works
i... |
750e059ac7778e79b1fe7d790ef6adc5be9ae54dd35ad7c31ca05b7c78a29a45 | MATLAB | 2,225 | 70 | function plotRawDataSetupON( obj, varargin )
% PLOTRAWDATASETUPON
% Plot setup ON LFP recordings raw data
%
% Syntax:
% PLOTRAWDATASETUPON( obj, varargin );
%
% Input parameters:
% * obj DBScope object containg streaming data.
% * (optional) ax Axis where to plot.
% * rec Index o... |
b06731f870c47ce85336581d8154f3ac403b959801cd9adbaea86f0b835cc11a | MATLAB | 2,225 | 53 | % VL_SIFTDESCRIPTOR Raw SIFT descriptor
% D = VL_SIFTDESCRIPTOR(GRAD, F) calculates the SIFT descriptors of
% the keypoints F on the pre-processed image GRAD. GRAD is a 2xMxN
% array. The first layer GRAD(1,:,:) contains the modulus of
% gradient of the original image modulus. The second layer
% GRAD(2,:,:) ... |
d8844c1cf405b5365fca8248714e72dce448df55c468c03e4f8e3a5ca3de9b5d | MATLAB | 2,225 | 102 | % f_CheckTextNumbers.m [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 [v_Numbers,s_Check] = f_CheckTextNumbers(...
pstr_Ini,pstr_End,ps... |
63d892c93ffc09524439734eb17cc004bd93e618021c09c79b80aedd455ace20 | MATLAB | 2,226 | 68 | function gretna_gen_data_path(Data_path, Output_path, Output_filename, Subfolder_name)
%=========================================================================
% This function is used to generate a .txt file that contains the
% directories of those dataset to be processed. Of note, the outputed .txt file will be
% a... |
8969a70c20bf9e16fcd7e8d986971bd94b465430c090f72a2bb55a940a7a321f | MATLAB | 2,227 | 55 | function data_out= auxchannel_regression(data_nirs, data_accel, data_gyr, data_orient)
% AUXCHANNEL_REGRESSION
% auxchannelregression performs a OLS regression of the fNIRS data with the long
% channels as the dependent variable and the short channels and movement
% data as regressors. It first z-transforms the data an... |
7b9c9baa7b4a39defb05ed62ad810cd53d961b5d22c17ff33ef873588b0a2984 | MATLAB | 2,228 | 72 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
% This code makes Figure S9B (inforate per decile). It needs for Figure S9A
% to be run first to make required Excels.
close all
clear all
clc
% Paths
run('../load_figure_config.m')
INPUT_FOLDER = '../figure_S9A/local_output';
OUTP... |
1b253167bb9fa5a0e969c5a5c0d228117e1b52e34f9f0f7e220052a4310afbe0 | MATLAB | 2,230 | 57 | function mltp_plot_bfo_general_session_grouped(obj, session, rotDeg)
% This function is used by the pipeline and supplied with either
% rotDeg = 90 or 180. It plots the groups best fit orientations.
dataFilename = fullfile(session.getAnalysisDirectory(), obj.Config.best_fit_orientations.outputFolder, .... |
4a0f3b5d928dfa4ebb5f447a438bf6ead0dc961e5edfab2f64780011d15e2901 | MATLAB | 2,232 | 52 | function fH = makeFigure7_PredictedSuppressionLevels(ds,lmmResults, lmmResults_Model,roisToPlot,cmapROIs,saveFigs,saveFigDir)
% Function to reproduce main manuscript figure 7:
% Suppression level (LMM slopes) vs model-based (predicted) suppression
% level by each pRF model (LSS,CSS,CST)
%
% From the paper:
% Title: ... |
65f4707453a8dd7cec07ae292cf041746a6e42a58be888959c8c7837df6f38ea | MATLAB | 2,232 | 69 | function plotRawDataSetupOFF( obj, varargin )
% PLOTRAWDATASETUPOFF
% Plot setup OFF LFP recordings raw data
%
% Syntax:
% PLOTRAWDATASETUPOFF( obj, varargin );
%
% Input parameters:
% * obj DBScope object containg streaming data.
% * (optional) ax Axis where to plot.
% * rec Ind... |
2c77db5cd834ecbacf7e04e151533742f5b08a49a0a148c0639c045e739b6c00 | MATLAB | 2,233 | 61 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [hFig, ax] = plot_bfo180_average_similarity_curves_per_period(DaysToSessions, NormalBFO180Similarity, ShuffledTable)
T = compute_bfo180_average_similarity_curves_per_period_table(DaysToSessions, NormalBFO180Similarity);
... |
baaf292eea19a5b790ffd29ec2f04955c91d2ec8767c2a5f2b3d44b46f535135 | MATLAB | 2,233 | 59 | function [mu, sigma] = SNR_normalization_video(video,meth_sigma,meth_baseline)
% Possion noise based filter act on the videos, and calculate the median and
% std of the filterd video
% Inputs:
% video is the raw video. Each row is a timeseris of a neuron. Each column is a time frame.
% meth_sigma is the method... |
833fde8d460fd39e0f70ea26852e147786b89df217e4b01c9519fbb52d7da2da | MATLAB | 2,235 | 67 | function wG = gradient_mask_all(rawImage, Mask, percentage, kspaceFlag, wG_thresh)
% wG = gradient_mask_all(rawImage, Mask, percentage, wG_thresh)
% Generate weighting using gradient of rawImage
% with percentage of voxels in Mask to be edges
%
% Authors: Xu Li
% Affiliation: Radiology @ JHU
% Email address:... |
2364214032817e194487dd9bdb3c5cf75f1d00cb10e480e1bc2e2a392dc71fc1 | MATLAB | 2,236 | 97 |
load('sampledata_connectivity.mat');
% preprocessing
%% remove line noise
cfg=[];
cfg.precision = 'single';
cfg.dftfilter = 'yes';
cfg.dftfreq = [60 120 180 240];
[data_left] = ft_preprocessing(cfg, data_left);
[data_right] = ft_preprocessing(cfg, data_right);
%% CAR
cfg=[];
cfg.reref ... |
3606c8e7dec59027888109a63a302dd1ade30e799c5433a40dfc6fc736afbe73 | MATLAB | 2,236 | 74 | % computePData_all.m
%
% Function to compute all processed data (currently, for imaging and
% FicTrac data) for all trials in specified date folder(s).
% Saves processed data into a pData.mat file in the same trial folder.
% Preprocessing, ROI selection, and FicTrac dropped frames selection must
% have been complete... |
43d5d673ed3c57bc2167cfe9bed2d03ade9b795bb50676c0bc31f7a8fcea64b5 | MATLAB | 2,236 | 83 | function density = joint_density(x,y,flag)
% simple routine to compute and plot the joint density histogram of x and y
%
% FORMAT: joint_density(x,y)
% joint_density(x,y,flag)
%
% INPUTS: x and y are two vectors of the same length
% flag if 1 (default) plot both the mesh and isocontour else only plot ... |
4804830c701fe21df447ff43a55b6ce5d4eb12ef4c52f0b37cda48facde348d4 | MATLAB | 2,236 | 61 | function [eeg] = read_eep_cnt(fn);
% READ_EEP_CNT reads continuous EEG data from an EEProbe *.cnt file
% and returns a structure containing the header and data information.
%
% eeg = read_eep_cnt(filename, sample1, sample2)
%
% where sample1 and sample2 are the begin and end sample of the data
% to be read.
%
% eeg.la... |
bed1dc8358546388f4b070414566ea11e342413f4c1ff59f08af4572906ba054 | MATLAB | 2,236 | 60 | % $Id$
% usage: [currentMatrix, results] = mglTransform(operation, value, socketInfo)
% by: Ben Heasly
% date: 2021-12-03
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: applies view transformations
% arguments: operation: 'get', 'set', 'scale', 'trans... |
e554f9fccbe03e6e8ddfce6d954cf06f607e152c61b93c530348d6106de5d808 | MATLAB | 2,236 | 71 | function [hprsmax,wmap,maxlogev,logevids] = gridsearch_GLMevidence(w0,mstruct,varargin)
% [hprsmax,wmap,maxlogev,logevids] = gridsearch_GLMevidence(w0,mstruct,varargin)
%
% Search 1d, 2d or 3D grid of hyperparameters for maximum evidence (i.e.,
% for initializing gradient ascent of evidence)
%
% Maximizes posterior a... |
9a1009aad57c7f2167f52f76b6ca3a197b29e68352217a60cf46d3c52ef854ef | MATLAB | 2,239 | 62 | classdef SimpleMultiContainer < types.hdmf_common.Container & types.untyped.GroupClass
% SIMPLEMULTICONTAINER A simple Container for holding onto multiple containers.
% OPTIONAL PROPERTIES
properties
container; % (Container) Container objects held within this SimpleMultiContainer.
data; % (Data) Data object... |
06178606150a5da50990048fbbdec27ecc5f6420f8d7d2645007f62b4daa4727 | MATLAB | 2,240 | 43 | % analyze fluoresence intensity of a cell body within a region of interest
% ParamAnalysisItemsStr = '{''FluoDifference'', ''FluoMain'', ''FluoBackground'', ''Area''}';
% ParamDisplayItemsStr = '{''dT''}';
Components(1).Name = 'PlotDropDown';
Components(1).Properties = {'Visible', 'Items', 'Value'};
PlotItemsStr = '{'... |
0d3cab8cd7eab532d41d27b2b9e6f4abbb4662241b5121a6c7c43c88fcc8f05e | MATLAB | 2,240 | 59 | function ISIHistLOGISImaxThptrain201907230101nbasal0001 = importfile1(filename, startRow, endRow)
%IMPORTFILE1 Import numeric data from a text file as a matrix.
% ISIHISTLOGISIMAXTHPTRAIN201907230101NBASAL0001 = IMPORTFILE1(FILENAME)
% Reads data from text file FILENAME for the default selection.
%
% ISIHISTLOGIS... |
2bbdbba24423effcb1d70f80a8f04c1d423862b7e6722e2245a402e1a33165ff | MATLAB | 2,240 | 52 | function [x_bounded, y_bounded, xedges, yedges, xi, yi, sxi, syi, ...
spikeCountMap, visitedCountMap, dwellTimeMap, ...
positionProbMap, meanFiringRateMap, ...
dwellTimeMapSmoothed, spikeCountMapSmoothed, meanFiringRateMapSmoothed, ...
meanFiringRateMapPlot, dwellTimeMapPlot, ...
meanFiringRateMapSm... |
0cb07499b1ceaa72f147828170966151d7946430e17390d7fa3bcf48bf705ef3 | MATLAB | 2,241 | 72 | classdef ObjectView < handle
properties (SetAccess = private, Hidden)
target = [];
end
properties (SetAccess = private)
path = '';
end
properties (Constant, Hidden)
type = 'H5T_STD_REF_OBJ';
reftype = 'H5R_OBJECT';
end
methods
function o... |
13856462a2c0e45f489c38247fb769d59cefc5fe23d5f0ed4e95a989fd2cf892 | MATLAB | 2,241 | 82 | function rhs2spike2(files,clean)
% Use raw data by default
if ~exist('clean','var')
clean = 0;
end
%% Extract matrix and other relevant data
for i = 1:length(files(i))
% get data from .rhs file
try
clear amplifier_data
read_Intan_RHS2000_file(files(i));
catch
... |
26f6facc5202c430214b66dfc48bd1798e509c985b7ed44bda3245167c31602c | MATLAB | 2,241 | 71 | %% Start the main pipeline
filenames = {'PFC4_15Hz_part11','PFC4_15Hz_part12','PFC4_15Hz_part21','PFC4_15Hz_part22'};
radii = [3:7];
SNRs = [7:4:31];
CV_times = zeros(length(filenames),length(radii),length(SNRs));
for p = 1:length(filenames)
for q = 1:length(radii)
for r = 1:length(SNRs)
[p q r... |
3dd7ee44037a02e1e5ed68bb494a3a526703cef40972c8bf7506d7e17ac3ca88 | MATLAB | 2,241 | 84 | function [v_PowSpec v_Freq s_TotalPow] = ...
f_PowSpec(...
pv_Sig, ...
ps_SamRate, ...
ps_ARMethod, ...
ps_AROrder)
%
% Function: f_PowSpec.m
%
% Description:
% This function computes the power spectrum of the input signal.
%
% Inputs:
% pv_Sig: input signal
% ps_SamRate: sample rate in Hz
% ps_... |
4b50a9f3ed7c1fe5e7feeab073c2641b72f46a8f747afb5931df7b0661ee09fd | MATLAB | 2,242 | 57 | % getCatStepValsXYcond.m
%
% Helper function for plotAEPPEPscatter(), plotAEPPEPContours(), and
% plotAEPPEPmeans()
% Returns step X and Y values, as well as leg calls for selected amp and
% dur, given keys. Conditions on step value. Operates on single vectors.
% Modification of getCatStepValsXY.m
%
% INPUTS:
% st... |
6b78e5d804dfcd6d3db4cd790f016b0913b5bcbbd9a5a68909c2690cc2116a47 | MATLAB | 2,244 | 98 | close all
%clear all
clc
% This tests the code.
% Just change which example is used.
[m1, coa1, ax1, ay1, m2, coa2, ax2, ay2] = mk_example2a();
[angleDiff] = ml_alg_center_out_difference(coa1, coa2);
m3 = zeros(30,20);
close all
figure
ax = [];
ax(1) = subplot(1,3,1);
imagesc(m1)
hold on
plot_coa(m1, ax1, ay1)
s... |
e4a9126de2ea64f253ffce24a837216aa5e446d4f416437f86158c3f4ee31553 | MATLAB | 2,244 | 71 | %% Start the main pipeline
filenames = {'bma22_epm_part11','bma22_epm_part12','bma22_epm_part21','bma22_epm_part22'};
radii = [6:1:10];
SNRs = [7:4:27];
CV_times = zeros(length(filenames),length(radii),length(SNRs));
for p = 1:length(filenames)
for q = 1:length(radii)
for r = 1:length(SNRs)
[p ... |
9fa6db8466af7c885e10efa060cbf5ccb4599ece588f2e52b1b36af3b4575fea | MATLAB | 2,245 | 71 | %% Start the main pipeline
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];
CV_times = zeros(length(filenames),length(radii),length(SNRs));
for p = 1:length(filenames)
for q = 1:length(radii)
for r = 1:length(SNRs)
[p... |
444d873c97c1f1dddbafe1c44464a453c9b23c518227dd159f9cc7a35c740823 | MATLAB | 2,248 | 59 |
clear; close all;
% dir and load data
cd add_path
load('output_events_detected.mat');
%% global config
exp = fieldnames(Dat);
params = {'AbsNREMDur','SpindleDensity','DeltaMeanAmp','DeltaEnergy',...
'SODensity','AbsREMDur','REMThetaMeanAmp','REMThetaEnergy'};
para_corr ={'SWS time (min)','Spindle densit... |
54352f5561210df6b0eeb9105f1960ffcf5939cecbebc414321d1f2ec7508c71 | MATLAB | 2,248 | 64 | % mglMetalIsRunning: Returns info about any running mglMetal processes
%
% $Id$
% usage: [tf, pids, addresses] = mglMetalIsRunning(socketInfo)
% by: justin gardner
% date: 09/27/2021
% copyright: (c) 2021 Justin Gardner (GPL see mgl/COPYING)
% purpose: Returns whether mglMetal is running, ... |
3dd2b299120f5c86b2a413df08e55b06c2bf51919219b14a25a26d3e21f3fa6f | MATLAB | 2,249 | 43 | function [cum_distances, sequences] = find_cumulative_distance_minus_backtrack(points,BW_size)
% given a set of points in order, return the cumlative distance from the
% first point until all subsequent points, accounting for backtracking
if size(points,1) <= 1
cum_distances = 0;
else
distances ... |
c9787c78f3ec6eb880e356ca66e46fca99f238cb533d76d520868064c80573a2 | MATLAB | 2,250 | 64 | function plotHeatmap(obj, startIdx, endIdx, image)
% This function generates one figure with the heatmap of the gazepositions.
% The Colorbar can be adapt with click into the figure and move the cursor
% up and down or sideways. To get back to the default values for the
% colorbar, click the right mouse button.
... |
fb8e74cbf94b19d363eeff4dd2cae3f7a8e29252650db394ad5c1022997fe490 | MATLAB | 2,250 | 74 | function [rej] = read_eep_rej(fn);
% READ_EEP_REJ reads rejection marks from an EEProbe *.rej file
%
% This function returns a Nx2 matrix with the begin and end latency
% of N rejection marks. The latency is in miliseconds.
%
% rej = read_eep_rej(filename)
%
% An EEProbe rejection file is formatted like
% 0.0000-0.3... |
77565a8bae839d86de86cabb19e513c22e60ed09c46c47937e4ae225411f3c9f | MATLAB | 2,251 | 48 | fig = figure;
fig.Units = 'centimeters';
fig.Position = [0 28 22 28];
colours = brewermap(3,'accent');
featurenames = {'LogVariance', 'Skew', 'Kurtosis', 'DeltaV',...
'LogHalfHzPwr', 'Lambda', 'Fiterror', 'DeltaLambda', 'DeltaFiterror',...
'DeltaLogPower', 'ThetaLambda', 'ThetaFiterror', 'ThetaLogPower',...
... |
2fadf3b2d0c4072ad2e3903547db9627a89f8f803e33366ef9d2ee2705f2ca2e | MATLAB | 2,252 | 60 | function vars = PLOT_DesaccadedTraces(vars)
%% load data
loadAnalysisInfo_APP;
%% Setup
A = figure('units','normalized','outerposition',[0 0 1 1]);
desacPLot = tight_subplot(3,1,[.025 .025],[.025 .025],[.015 .01]);
%% Magnet Channel 1
axes(desacPLot(1));
title('Magnet Channel-1, Unscaled'); hold on;
plot(mag1.time,... |
bc4b6d82942e777b82e9e4b4f60e0026d4cd5f9210beab740fe28620b8f86b36 | MATLAB | 2,253 | 71 | %% Start the main pipeline
filenames = {'Mouse_1K','Mouse_2K','Mouse_3K','Mouse_4K','Mouse_1M','Mouse_2M','Mouse_3M','Mouse_4M'};
radii = [4:9];
SNRs = [7:4:23];
CV_times = zeros(length(filenames),length(radii),length(SNRs));
for p = 1:length(filenames)
for q = 1:length(radii)
for r = 1:length(SNRs)
... |
2280f2ffaaaba40a1c90611bf85fa6be6a896d1c864b165ee400b52aac0fe4bc | MATLAB | 2,256 | 113 | % cgsolve.m
%
% Solve a symmetric positive definite system Ax = b via conjugate gradients.
%
% Usage: [x, res, iter] = cgsolve(A, b, tol, maxiter, verbose, x0)
%
% A - Either an NxN matrix, or a function handle.
%
% b - N vector
%
% tol - Desired precision. Algorithm terminates when
% norm(Ax-b)/norm(b) < tol .
%
... |
c7e686e863dd15f11178ca1afd140a7fce873149181398ea7a048f69e117aa72 | MATLAB | 2,256 | 76 | % plots error bar in one out of a few colors, with a line in the middle and
% shade around it.
%The inputs:
function tess_errorbar(Xdata,Ydata,Error,Color)
% Color - 1=black, 2=gray, 3=red, 4=green, 5=blue
% Xdata, Ydata, Error must have the same length N
% For each point (Xdata(i),Ydata(i),Error(i)), wher... |
ff3098a11ef71f2610b8730868226890e7de97bd814c5c4765870bedffa16370 | MATLAB | 2,256 | 49 | function [selectedVoxels, rNC, ve] = selectVoxels(noiseceilingRun, paramsROI, nc_thresh, ve_thresh, roiOrder, combROIs)
% Get nr subjects and rois
[nrSubjects, nrROIs] = size(noiseceilingRun);
% Preallocate space
selectedVoxels = cell(nrSubjects,nrROIs);
rNC = selectedVoxels;
ve = selectedVoxels;
% Loop over subje... |
3ccfcd55d826169a4b04a0274e58f56868fc27df40ae027678a83c3ce5e20dd9 | MATLAB | 2,261 | 104 | function [ynn_t,nn_stat,nn_dyn,Xi,Ai] = TrainNLDNLS(Imat_t,dsr_t,nh,no,tn)
maxiter = 10;
int_mat_1 = zeros(nh,tn);
check1 = Inf;
x_in = Imat_t;
net_s = feedforwardnet(nh,'trainlm');
net_s.layers{1}.transferFcn = 'logsig';
net_s.layers{2}.transferFcn = 'purelin';
net_s.trainParam.max_fail = 2000;
% ... |
5443869aef5f5c0d7003c9261041805956fa8adad5db5612f14b45f3419b1d8e | MATLAB | 2,261 | 64 | %{
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... |
54c68b2fb4110dc4f7db3e0a82affd28a33ff8d5ed4677a443d8f516681e0631 | MATLAB | 2,262 | 58 | function TestPCAOutput = computekNNClassificationPerformance(ftestPCA_all, TestPCALabels, sizeTest, distMatrix, stepPrint, numCoresKnn, param)
%start_pool(numCoresKnn);
%modo parallelo per knn (k = 1) classification
%leave-one-out
%we use knn_neighbors + 1 because otherwise it would find the same vector
%in this way ... |
67509f2d6dc5f4a3ffab584d14b945f61bc835451d898513c447909f8a331585 | MATLAB | 2,262 | 53 | clear all;
close all;
restoredefaultpath;
scriptsDir = 'C:\InterpolationAfterDREDge\'; %Change to the directory where repository is
addpath(genpath([scriptsDir 'Scripts/AP/']));
addpath(genpath('Kilosort-2.5/'));%Change to the directory where Kilosort2.5 is
%% Requirements
%basePath folder should contain .dat file nam... |
aa1477ed88abe7f38f7c6fb0e5f92e31a004f2678be847a4f9e0888aa5450141 | MATLAB | 2,262 | 62 | function [sti_tracks,TAPonly_tracks,LEDonly_tracks]=get_tracks_with_sti(Tracks,time_before,time_after)
% extract tracks that around a tap/LED sti
sti_tracks=struct([]);
TAPonly_tracks=struct([]);
LEDonly_tracks=struct([]);
fps=14;
n_track=length(Tracks);
LED_on_duration=56;
hold_before_tap=28;
LED_after_tap=LED_on_dur... |
e3d3537d8ca2ef1cb2e9436b0c8e583f2ebb1fc62371d0b2f1be8f7d99b64b39 | MATLAB | 2,262 | 60 | % mglScreenCoordinates.m
%
% $Id$
% usage: mglScreenCoordinates()
% by: justin gardner
% date: 05/27/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Set coordinate frame so that it is in pixels
% with 0,0 in the top left hand corrner
%
fu... |
00e462c2a3d6256a4519c7b8119e2fa7e0a5f4d74b41407637291e9ccac34a96 | MATLAB | 2,263 | 72 | %{
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... |
562d621b45ddf651c826923b322bc99ef4c9fe1f71cf59ef8529432da04c6bb2 | MATLAB | 2,263 | 73 | function [track] = ml_cai_dlc_to_mlbehaviourtrack_with_heading(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;
... |
d67b70097d391830e0af193a1add884aa911c7f040c5fe6a79d04b1bc6cbe9e7 | MATLAB | 2,263 | 75 |
%# -*- texinfo -*-
%# @deftypefn {Function File} {} gampdf (@var{x}, @var{a}, @var{b})
%# For each element of @var{x}, return the probability density function
%# (PDF) at @var{x} of the Gamma distribution with parameters @var{a}
%# and @var{b}.
%# @seealso{gamma, gammaln, gammainc, gamcdf, gaminv, gamrnd}
%# @end def... |
bd6fbce325ea8ce2693f685c88be8bac834558b9e57eefb221f2f683361ecaf8 | MATLAB | 2,265 | 65 | % mglMetalFullscreen.m
%
% usage: results = mglMetalFullscreen(isFullscreen, socketInfo)
% by: Benjamin Heasly
% date: 27 April 2022
% copyright: (c) 2021 Justin Gardner (GPL see mgl/COPYING)
% purpose: Function to toggle the mglMetal app between windowed and
% fullscreen.
%
% usag... |
d67b413e7514357ae81e5727271469e533ab549f6ada44684fbb81a8e8b2fd5b | MATLAB | 2,265 | 67 | % mglQuad.m
%
% $Id$
% usage: results = mglQuad( vX, vY, rgbColor, [antiAliasFlag] );
% by: justin gardner
% date: 09/28/2021
% copyright: (c) 2021 Justin Gardner (GPL see mgl/COPYING)
% purpose: Function to draw a quad in an mglMetal screen opened with mglOpen
% vX: 4 row by N column matr... |
0b0d43cb856d93183ecd4923bec890bece913301ebf984c71a5201733c6a394b | MATLAB | 2,266 | 71 | %{
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... |
9f354e1095500b05e4b40fb2c7c969f0cb44f832965f2537da7af70affeda004 | MATLAB | 2,266 | 64 | function [m_Spectrum, v_Time, v_Freq] = f_PixelScale(...
pm_Spectrum,pv_Time,pv_Freq)
str_PreUnits = get(gca,'units');
set(gca,'units','pixels')
v_Axepos = get(gca,'position');
v_Axepos = round(v_Axepos([3,4]));
set(gca,'units',str_Pr... |
001072fb7ea6a09fc2f71cfe52d611257d2c0ef8388d390326ef55928d7663e7 | MATLAB | 2,268 | 69 | % VL_ALLDIST2 Pairwise distances
% D = VL_ALLDIST2(X,Y) returns the pairwise distance matrix D of the
% columns of S1 and S2, yielding
%
% D(i,j) = sum (X(:,i) - Y(:,j)).^2
%
% VL_ALLDIST2(X) returns the pairwise distance matrix fo the columns of
% S, yielding
%
% D(i,j) = sum (X(:,i) - X(:,j)).^2
%
% VL_AL... |
34cb3d6215c63160c9daa02e63e83bbb20dba446ff7087f3a72f471501cf37cd | MATLAB | 2,268 | 86 | function varargout = dtype(varargin)
% Format
% For getting the value
% dat = dtype(obj)
%
% For setting the value
% obj = dtype(obj,dat)
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: dtype.m 8776 2013-11-14 09:04:48Z robo... |
1a994907fd94213e7892f65cc0664c1c37570f0617399fafd894a8bbd26581c6 | MATLAB | 2,269 | 77 | function data = read_asa_msr(fn);
% READ_ASA_MSR reads EEG or MEG data from an ASA data file
% converting the units to uV or fT
% Copyright (C) 2002, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fieldtrip
% for the documentation and details.
%
% FieldTrip is free softwar... |
4b5b16da71fbedfd4090f07a7ea8d90b606370a97c92ae61f8d253d4f4d889f2 | MATLAB | 2,270 | 65 | %
% 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," Submitted to PNAS.
%
% Released under a GPL v2 license.
functio... |
2a49a2c0bc0e7d8bac7a42935c03f06319ae66ec7b74c03d4e723e5e3a616f23 | MATLAB | 2,271 | 83 | function imsegs = APPgetSpStats(imsegs)
% imsegs = APPgetSpStats(imsegs)
% Gets basic information about the superpixels
%
% Copyright(C) Derek Hoiem, Carnegie Mellon University, 2005
% Current Version: 1.0 09/30/2005
for ii = 1:length(imsegs)
nseg = imsegs(ii).nseg;
segimage = double( imsegs(ii).... |
b4fddc48d711da86b811de50493d6109751a8a4d834c6ad0598cdb6394d42e14 | MATLAB | 2,271 | 95 |
function output_info=cnn_layer_dagnn_wrapper_forward(input_info, layer, work_info_batch)
run_trn=work_info_batch.ref.run_trn;
group_info=get_current_work_group_idx(work_info_batch);
net=group_info.dag_net;
if input_info.is_group_data
input_var_names=layer.input_var_names;
input_num=length(input_var_nam... |
6bdd5350d303ec3f38e8894308776188710fa482caf714851b88d5992ba29e21 | MATLAB | 2,272 | 91 | function ciu = fcn_consensus_communities(ci,niter,vis)
%FCN_CONSENSUS_COMMUNITIES generate consensus communities
%
% ciu = fcn_consensus_communities(ci,niter,vis) takes as input a [node x
% partition] ensemble, ci, and returns an estimate of consensus
% communities. The algorithm calculates the coassignment mat... |
c7d56de3c35e040858537a257c5ced2b8af249726e59b04b6945d07505b55b65 | MATLAB | 2,273 | 71 | %% Start the main pipeline
filenames = {'blood_vessel_10Hz_part11','blood_vessel_10Hz_part12','blood_vessel_10Hz_part21','blood_vessel_10Hz_part22'};
radii = [3:7];
SNRs = [7:4:23];
CV_times = zeros(length(filenames),length(radii),length(SNRs));
for p = 1:length(filenames)
for q = 1:length(radii)
for r = 1... |
f5878b8a94421dbe83f51d756b6f8e89d1ab350aaad9f272b6236e5092db9aa5 | MATLAB | 2,275 | 86 | function varargout = dtype(varargin)
% Format
% For getting the value
% dat = dtype(obj)
%
% For setting the value
% obj = dtype(obj,dat)
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: privatedtype.m 8776 2013-11-14 09:04:4... |
e656ed3db60a22018143720a2698d00bc6b1bd7d6c4c5f0dfa58ec58fb9408f7 | MATLAB | 2,276 | 65 | %% how many points are within d and how many within d+d?
load('intersects');
d = 12;
%%
neighbours = zeros(size(intersects,1),5);
for iSynapse= 1:size(intersects,1);
startClose = intersects(iSynapse,2)-d;
endClose = intersects(iSynapse,2)+d;
startFar = intersects(iSynapse,2)-2*d;
endFar... |
49dd41d98fda9daa5a2b31bae8579212cc9c392d546d68517dac48ca952f1939 | MATLAB | 2,277 | 64 | %{
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... |
07991f2b549c476af579c2bdfbe4c4f7e7cef41bc1f9cddd46c2f33ca664e854 | MATLAB | 2,278 | 92 | %
% Plot a signed time histogram.
%
% PARAMETERS
% $network
%
% INPUT FILES
% uni/out.$network
% uni/meta.$network
%
% OUTPUT FILES
% plot/time_histogram_signed.[a].$network.eps
%
bins = 90;
font_size = 22;
color_pos = [0 1 0];
color_neg = [1 0 0];
consts = konect_consts();
[negative, interval_scale] = konec... |
92b7af1cf15d1f55fdfcb28415d63014ffeb745f91dd635eadd167af7ef5fc90 | MATLAB | 2,279 | 63 | % 2021-06-04: I wrote this code to test the path simulation code. The path
% simulation code performs a random walk with intermitent attraction to one
% of the 4 cups so that the paths are more realistic to what we see with
% real data.
% 2021-06-08: Extended the demo code to generate an entire sessions's
% behaviour ... |
dfaa2c31ff41d24ef2e35c7516003b92610cd0c2c8360e23a2e08e5ed4c9ebae | MATLAB | 2,279 | 68 | function spm_normalise_disp(matname,VF)
% Display results of spatial normalisation
% FORMAT spm_normalise_disp(matname)
% matname - name of sn3d.mat file
%_______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
% John Ashburner
% $Id: spm_norm... |
1546efa0cde538d00785e7229b1b7c655a196815fb19175708263c0a393bf4d9 | MATLAB | 2,280 | 80 | function plot_singleFileSanityCheck(recData, z, segInfo, segment_ssfr, p, cycleMat_ss, cycleMean_ss)
figure('Position', [1 41 1920 1083]);
overviewPlot = tight_subplot(3,3,[.05 .01],[.03 .03],[.01 .01]);
axes(overviewPlot(1));
plot(z.segTime_ssfr, segment_ssfr);
xlim([0 10]);
yticks([]);
title('Cont. Firing Rate: Se... |
594088e08d40699b3077a34945fc06f7fd1f004546ef48964f9151fb1f228401 | MATLAB | 2,280 | 79 | %
% Make the X axis labels by correct for year numbers.
%
% DEPRECATED -- use time_xaxis_unix.m
%
% PARAMETERS
% t_min, t_max Minimum and maximum values to be plotted, in
% year numbers
%
function time_xaxis(t_min, t_max)
NUM = 7; % Maximum number of ticks to show on the date axis (X axis)
months = {'Jan', 'Fe... |
46bff30673e977b4f93f9648e7c800baea969c064e91ddc28d678285e399b099 | MATLAB | 2,282 | 101 |
%% Prep & params
clear;clc;close all
thresh = .0078;
window = [20 40];
% 114
file = 'Z:\1_Maxwell_Gagnon\ProjectData_Amin\Boris Recordings\Exp-GCamp-115-07182018-OKR only\Exp-GCamp-114-07182018-OKR only3.smr';
startT = 160;
endT = 560;
% 115
%file = 'Z:\1_Maxwell_Gagnon\ProjectData_Amin\Boris Recordings\Exp-GCamp-1... |
50bae67fe9424fda78981f12ea3a6e335d050fcc148a9f09d213e7f54291cbb0 | MATLAB | 2,282 | 64 | %% This is a script m-file that will be run each time Matlab is started,
%% provided that this file is in the Matlab search path (see PATH
%% command).
% If there appears any graphical anomalities when running AEDES, try to
% some of the following OpenGL workarounds. If you experience some of the
% symptoms descriped ... |
fb7aded7fea861b261e214f8cd372105a51810be09bff139ccbed127232dbf3d | MATLAB | 2,282 | 68 | function [decon_smoothed_r_matrix]=get_nonevent_partialcorr(combined_info,ds_events,d)
%% LOAD
cur_onsets=ds_events(d).onsets;
decon = combined_info.deconv;
%%get forward, reverse, left, right velocity
velocity = combined_info.velocity;
[roll_pos,roll_neg, pitch_pos, pitch_neg, yaw_pos, yaw_neg] = separate_velocity... |
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