sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
a5831ec3963e9b3ea926a1384f48a47528cb20d6dc8dc1b022194964d3ae0b53 | MATLAB | 2,709 | 63 | function st_prfResponse = getPRFStimResponse(stim, linearPRFFilters, params)
% Function to generate neural pRF time course for given pRF and stimulus.
%
% INPUTs:
% stim : (double/logical matrix)
% stimulus xy (pixels) by time (ms) by run
% linearPRFFilters : (double vector/matrix) li... |
e9b50805c4e38a4d76e719cbb7e380a12d1e6ee1c3540ec3e82c3927fbd82eb0 | MATLAB | 2,709 | 85 | %% function all_figures_and_stats(git_directory, read_from_excel)
% generates all figures and stats
%
% parameters:
% git_directory (str): e.g. '/path/to/git_dir/grid_memory'
% read_from_excel (bool): false (read .mat files, recommended)
% true (read .xlsx files, not recommended)
%
% Mackay ... |
167e89ce97308f62ff60d1cf18e3dc475a47fba8eefa69cd8e9003e4de0e8ef9 | MATLAB | 2,711 | 74 | classdef MLArenaSquare < MLArena
properties
length_cm;
end % properties
methods
function obj = MLArenaSquare(referencePointsVideo, length_cm)
% Validate the inputs
if ~all(size(referencePointsVideo) == [2, 4])
error('Must referencePointsV... |
8e5a75a8015b9a8953af0aca0bacb60d0ce763f075dc4e8d18d1accc7d17f937 | MATLAB | 2,711 | 87 | classdef MLBehaviourInterface < handle
%MLBehaviourInterface Interface class for animal behaviour
% An interface class for the fundamental animal behaviour
methods (Abstract)
% Returns the common length of the arrays
getArrayLength(obj)
% Returns the x coordinate of t... |
dfc4c422168d98b8b996907155150d91ae37a2914402efba36983c25b656df47 | MATLAB | 2,711 | 40 | % expand_unitsTableEM
[RR, CC]= size(unitsTable);
Titles = unitsTable(1,:);
unitsTable(1,CC+1) = {'alloDiff.L_modep'};
unitsTable(2:RR,CC+1) = num2cell(cell2mat(unitsTable(2:RR,find(strcmp(Titles,'allo.L_modep'))))...
- cell2mat(unitsTable(2:RR,find(strcmp(Titles,'theta.L_modep')))));
unitsTable(1,CC+2) = {... |
7274fbebe18dd1949f2cd2315a36dd98e344d37f8e396d89a3827b2aae037661 | MATLAB | 2,715 | 122 | function cMon=aedes_getcurrentmonitor(hFig)
% AEDES_GETCURRENTMONITOR - Returns the monitor, where the pointer
% currently resides
%
%
% Synopsis:
% CurrentMonitor=aedes_getcurrentmonitor(hFig);
%
% Description:
% If called without input arguments, returns the index for the
... |
c7db8ac9e99492c6ef65bd24b7764b7d2783c4f9aedc2ded31e9015032ba915a | MATLAB | 2,715 | 119 |
% Author: Guosheng Lin (guosheng.lin@gmail.com)
% perform segmentation prediction on user provided images.
% specify the location of your images, e.g., using the following
% folder which contains serveral example images:
% ds_config.img_data_dir='../datasets/custom_data';
function demo_refinenet_test_example_pasca... |
5ea2ff59f79293040631b0ac7f347dd850817558b0e88c9d08e9589fde03b2fc | MATLAB | 2,716 | 57 |
clear; close all;
maindir = fileparts(convert("fullpath"));
warning off all
%subs = [10317, 10369, 10402, 10418, 10462, 10478, 10486, 10529, 10541, ...
% 10572, 10581, 10584, 10585, 10589, 10590, 10596, 10603, 10606, 10608, 10617, ...
% 10636, 10638, 10640, 10641, 10642, 10644, 10647, 10649, 10652, 10656, ... |
1d005301e8ad2f7f3526ffd7e76cc25764efa4e1a0f23734bbacc6921129867a | MATLAB | 2,718 | 58 | function mlgp_compute_placemaps_inclusion(obj, session)
sessionName = session.getName();
sessionAnalysisFolder = session.getAnalysisDirectory();
% Load the map dataset
placemapData = load(fullfile(sessionAnalysisFolder, sprintf('%s_placemaps.mat', sessionName)));
% Create the basic structure
i... |
a62daa5e4a1d16c0b9519b7ec80016b49f8345f86b18a528d533234623eae785 | MATLAB | 2,719 | 61 | function [fluor_deflectFree, opt] = deflectionRemoval_UFARSA(opt, fluor)
% [fluor_deflectFree, opt] = deflectionRemoval_UFARSA(opt, fluor)
%
% Removing the large positive impulses and large short-lasting deflections
% from fluorescence trace. Currently this function should only be applied to
% drift-free t... |
e17f8e0b0a61ffbee5d089b897a7d67709bbda23b837147e28f65c7faf135d71 | MATLAB | 2,720 | 77 | function mlgp_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, .... |
c66668fe89093cba075222e87f36403df2ae3206ed0cabaf23358ab49180bf52 | MATLAB | 2,721 | 85 | function dspec = addCovariate(dspec, covLabel, desc, stimHandle, basisStruct, offset, cond, plotOpts)
% Add a covariate to the design specification object.
% dspec = addCovariate(dspec, covLabel, desc, stimHandle, basisStruct, offset, cond, plotOpts);
%
% Input
% dspec: struct - design specification object (see initD... |
3e3efe86c101290e4aae07a14a452fd56cc9faef2e720de5da5d7777b4d49d7d | MATLAB | 2,724 | 95 | function PlotFeatureComparison(fd,cd,ftrx,ctrx,f2c,fn,varargin)
[haxcurr,plottype,limprctile,nbins,domatch] = myparse(varargin,'hax',nan,'plottype','hist',...
'limprctile',1,'nbins',100,'domatch',true);
fnflies = numel(ftrx);
cnflies = numel(ctrx);
if ~ishandle(haxcurr),
hfig = figure;
haxcurr = gca;
... |
d1fccea6e7ab1d824c3f6866f12d254ccea462ef0eeecf0fe88ebb3b77a3b4b1 | MATLAB | 2,724 | 70 | % parameter search in 2D space
% clear;
% close all;
% clc;
initime = clock;
addpath('..\funcs');
%% changeable parameter settings
Delta_e_start = 0; % cannot equal to 0
Delta_e_end = 0.5; % can equal to 0.5
Delta_e_steps = 200;
Delta_i_start = 0; % cannot equal to 0
Delta_i_end = 0.05; % can equal to 0.05
Delta_i_s... |
a68b4c0d7ecc22c1948625774cf1f6fee0ab8206296497cc911dc832b5e56b50 | MATLAB | 2,725 | 70 | % parameter search in 2D space
% clear;
% close all;
% clc;
initime = clock;
addpath('..\funcs');
%% changeable parameter settings
Delta_e_start = 0; % cannot equal to 0
Delta_e_end = 0.5; % can equal to 0.5
Delta_e_steps = 200;
Delta_i_start = 0; % cannot equal to 0
Delta_i_end = 0.05; % can equal to 0.05
Delta_i_s... |
731354651dd5d7beecb98d94ed08eb6203673fe2261303742618492cb1db636c | MATLAB | 2,727 | 48 | function [DATA,MARKER,info] = fromH5DFtoDATAandMARKER(str_h5_filename,str_save_append)
%% Function to convert data from an HDF5 file into DATA and MARKER arrays
%% author: Stefano Diomedi
%% date: 21/02/2024
%
%% Inputs:
% - str_h5_filename: string containing the name of the HDF5 file
%% Outputs:
% - DATA: ... |
1379d1815ce406bc9d54f6b0de322d0a92dfc4af35d668dcbe3a2eb77e3caf50 | MATLAB | 2,729 | 68 | classdef MLCaiTrialResult < handle
properties (SetAccess = private)
trialResultsFolder = [];
neuronFilename;
scopeFilename;
behavFilename;
behavTrackVidFilename;
behavTrackVid;
neuronData;
scopeVideoData;
behavVideoData;
end
... |
c4f729ed8554ced3ff121e1c6af42fe1271804a69f5c482c366f89ca66d9bbea | MATLAB | 2,730 | 121 |
% Author: Guosheng Lin (guosheng.lin@gmail.com)
% perform segmentation prediction on user provided images.
% specify the location of your images, e.g., using the following
% folder which contains serveral example images:
% ds_config.img_data_dir='../datasets/custom_data';
function demo_refinenet_test_example_nyud(... |
fd90b3c133b11c3989bdcd488f4a5d4f10a011a0aa676daef40b32d759705a6e | MATLAB | 2,732 | 67 | function [] = plot_worm_frame(I, center_lines, centerline_color, centerline_stimulus, debugimage,in_track_index,current_ellipse_ratio)
% % % % % % [] = plot_worm_frame(I, center_lines, centerline_color, UncertainTips, centerline_stimulus, debugimage,in_track_index,current_ellipse_ratio)
% IWFig = findobj('Tag', [... |
74b78f09f208d290712ac1ce9bae9e3cda2e67b93dff9f2d67bf83108c39d2ee | MATLAB | 2,733 | 108 | function smooth_data_out = aedes_fmri_smooth(data,fwhm_sz,voxsize,out_file)
if nargin==4
writeSmoothedData = true;
else
writeSmoothedData = false;
end
if nargin<3 || isempty(voxsize)
fwhmInPixels = true;
else
fwhmInPixels = false;
end
% Check if data is an Aedes structure
if isstruct(data)
data = data.FTDA... |
b75e3e8176d8d21e5ac1e78d2c5b04e273a6c587fab5833e479f4f0914eb8ea3 | MATLAB | 2,733 | 63 | function [DATA, MARKER, info] = checkingTrials(DATA, MARKER, info, wanted_n_trials,str_save_append)
%% Function to check and modify the number of trials for each condition
%% authors: Stefano Diomedi
%% date: 22nd February 2024
%
%% Inputs:
% - DATA: cell array containing spike train data
% - MARKER: cell a... |
b9a5e1b8e6cc38d5921c24075fd7a23ad91966721b0089307960b01f72ea072f | MATLAB | 2,734 | 84 | function V = spm_write_vol(V,Y)
% Write an image volume to disk, setting scales and offsets as appropriate
% FORMAT V = spm_write_vol(V,Y)
% V (input) - a structure containing image volume information (see spm_vol)
% Y - a one, two or three dimensional matrix containing the image voxels
% V (output) - data st... |
3f68e2497276d70ff3b23ddc5cd509077cf3d5869f933c237b483b4f6dfd641d | MATLAB | 2,735 | 74 | function BC=betweenness_wei(G)
%BETWEENNESS_WEI Node betweenness centrality
%
% BC = betweenness_wei(W);
%
% Node betweenness centrality is the fraction of all shortest paths in
% the network that contain a given node. Nodes with high values of
% betweenness centrality participate in a large number of shor... |
702a7b03fee6d21faa6821d34be02170fd283f00c904b94fbbc7f757d06757d7 | MATLAB | 2,735 | 85 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
% This part makes the Excel file which is then plotted in part 3.
close all
clear all
clc
SPEED_THRESHOLD_CM_PER_S = 2;
SPIKE_THRESHOLD = 0;
% These ones include m4 which is the PFR
LOCAL_INPUT_FOLDER = './local_output';
OUTPUT_FOL... |
18e8a93e646e2e1544ce067ffa55443e283c5089e39215aa20ee7806c78e248e | MATLAB | 2,736 | 76 | % oneStepIInj.m
%
% Current Injection Function. Injects square step of current of user
% specified amplitude for user specified duration. Repeats until end of
% trial with user specified space duration and amplitude between steps.
% Returns vector of to feed to output of DAQ (i.e. appropriately scaled to
% be read d... |
d8ca37b559b3c470e97d33d4397c59ec4d10eeb4c1ddd8b86bf02cd52cd8cf2c | MATLAB | 2,736 | 88 | % 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
% Used for NearesNeighbor.m and getmyMapListValuesCondDist_Neighbour.m
function [retVal,retValDist] = segmentCall... |
aaeac823563a81d0ddbb2b6d9c358d5914b383a56361913a6a3b2a555bf6c1ba | MATLAB | 2,739 | 87 | function rez = applyDredge(rez)
%% Adapted from Kilosort2.5 function datashift2.m
%% by Richard Hardstone (2022_11_30)
%%
outDir = rez.ops.dredge.outDir;
if ~exist(outDir,'dir')
mkdir(outDir);
end
%%
if getOr(rez.ops, 'nblocks', 1)==0
rez.iorig = 1:rez.temp.Nbatch;
return;
end
ops = rez.ops;
% The min ... |
62df67e28e50d9b72aedabb871df459a8b1d3e6351ae95f46e3cfafde363b4ca | MATLAB | 2,740 | 95 | close all
clear all
clc
%a = 100;
%poly = [0 0; a, 0; a, a; 0, a];
a = [0, 20];
b = [0, 0];
c = [30, 0];
d = [30, 20];
refCanPts = [a(1), b(1), c(1), d(1); a(2), b(2), c(2), d(2)];
poly = refCanPts';
figure
plot(poly(:,1), poly(:,2), 'b-*', 'linewidth', 10)
hold on
plot([poly(1,1), poly(end,1)], [poly(1,2), poly(end... |
d45d5920fef4c65e0a6eb2c41c620bed25d6e7c73d596d9470843d7fff0c1fe2 | MATLAB | 2,741 | 87 | function [A,B,C] = tern2base( name_E, E, wlimits, extra )
%tern2base determines the edge A,B,C coordinates from one ternary coordinate
%
% Take a name and a matrix of coordinates for that name, and obtains
% A,B,C at the base of the axis and the other side. Wsum is needed to
% compute units, if not given it is as... |
880780958c12696cf42e19b3c888bc92849534bf362f9df59fabc33711710fa4 | MATLAB | 2,743 | 82 | function dispstat(TXT,varargin)
% Prints overwritable message to the command line. If you dont want to keep
% this message, call dispstat function with option 'keepthis'. If you want to
% keep the previous message, use option 'keepprev'. First argument must be
% the message.
% IMPORTANT! In the firt call, option 'init'... |
ebd0a80e3d0366bc26958d2f634ab77e540181c4b42ba6cec7c61fa88cef395c | MATLAB | 2,743 | 74 | function handles = SetSeq(handles,seqi,isfirstframe)
% set the GUI state for displaying a particular sequence index
% splintered from fixerrorsgui 6/23/12 JAB
handles.seqi = seqi;
handles.seq = handles.seqs(seqi);
handles.f = handles.seq.frames(1);
handles.nselect = 0;
handles.selected = [];
set(handles.errnumbertext,... |
c012f8d172ce7abb76c40cb4c2f784d2ae7ee8c0abc4694bb67cb53b15cfa496 | MATLAB | 2,745 | 82 | % readPostsynConnFromCSV.m
%
% Function that reads in connectivity from folder of CSV files, where each
% CSV file is a neuron's postsynaptic targets (ID and number of synapses
% it receives). Each CSV file is named the ID of the presynaptic neuron.
% Returns the connectivity of all the neurons in the CSV file as a s... |
eb947333af268f5fed916091f576cdbf60e61a107d9ad605a50e5b256d41366e | MATLAB | 2,745 | 89 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
% This code makes Figure S9A (but used Excel + R for paper).
close all
clear all
clc
% Paths
run('../load_figure_config.m')
INPUT_FOLDER = './local_output';
OUTPUT_FOLDER = CHENGS_TASK_2C_FIGURES_CONFIG.FIGURE_OUTPUT_FOLDER;
if ~ex... |
2bda6739f12767675866af39a83a842b2cdcfdcb0d807e812db65ed0cfb38e2f | MATLAB | 2,746 | 82 | % mglClearScreen.m
%
% $Id$
% usage: results = mglClearScreen([clearColor], [clearBits])
% by: Justin Gardner
% date: 09/27/2021
% copyright: (c) 2021 Justin Gardner (GPL see mgl/COPYING)
% purpose: Sets the background color and clears the buffer. 'clearBits'
% is an optional ... |
4fd474a40166e7cb9e2979647f7f749b4e5d8fec2b1aca2570c29c151075e7dc | MATLAB | 2,748 | 91 | function [h1, h2, h3] = plot3plane(data, sag_ind, cor_ind, axi_ind, cmin, cmax, lineflag, plotflag)
%
%% Author: Xu Li
% Affiliation: Radiology @ JHU
% Email address: xuli@mri.jhu.edu
%
% plot 3 planes of the 3D dataset
% lineflag: 0: no line, 1: with lines to mark the slice locations
% plotflag: 1: use im... |
90325691d00ca018d170f7c2bcdd27d2b36aa2f99e8b1e367472dadf4a4b477a | MATLAB | 2,748 | 70 | function [PN,PNstar,gamma0,mv] = get_prevalence(V,V_rnd,alpha,perms,StatNtest)
% gets the measured and permuted observations and returns the prevalence
% statistics.
%
% [PN,PNSTAR,GAMMA0,MV] = GET_PREVALENCE(V,V_RND,ALPHA,PERMS,STATNTEST)
% gets the measured observations V, the permuted observations V_RND,
% si... |
3be4b356093d57e8269beb20096631ff714197dc6966d8a02b8a18e84d5d6a2d | MATLAB | 2,750 | 82 | % readPresynConnFromCSV.m
%
% Function that reads in connectivity from folder of CSV files, where each
% CSV file is a neuron's presynaptic inputs (ID and number of synapses
% it receives). Each CSV file is named the ID of the postsynaptic neuron.
% Returns the connectivity of all the neurons in the CSV file as a set... |
afa9dad20196025ad8bf5ff225ceeba76d1afc12fad28a47075af7ff2a0e8fe4 | MATLAB | 2,750 | 64 | % replacement of PET
clear;
clc;
close all;
initime = clock;
addpath('../funcs');
% get the change of PET in parameter space
Delta_e_start = 0.3; % cannot equal to 0
Delta_e_end = 0.3; % can equal to 0.5
Delta_i_start = 0.027; % cannot equal to 0
Delta_i_end = 0.032; % can equal to 0.5
Delta_steps = 200;
Iattn = 0.0... |
c3e95889482ea160f4f4649e3abe37079b69ef4016a77b6cd80ddf13cda2a95e | MATLAB | 2,751 | 76 | function [E,O,inds,segs] = edgesDetect( I, model )
% Detect edges in image.
%
% For an introductory tutorial please see edgesDemo.m.
%
% The following model params may be altered prior to detecting edges:
% prm = stride, sharpen, multiscale, nTreesEval, nThreads, nms
% Simply alter model.opts.prm. For example, set mod... |
04d7ed953510b4861bc17dd47b51a38d804d58cb8fdf410f2711076a63afbe45 | MATLAB | 2,753 | 64 | % mglMetalStartBatch: start queueing up Metal commands to process later.
%
% usage: batchInfo = mglMetalStartBatch()
% by: ben heasly
% date: 01/12/2024
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Put the Mgl Metal app into its batch "building" state.
% ... |
15d83940787cef38c6969d57c6a13f41c79d33611c1adda2ae75ff158ef35806 | MATLAB | 2,753 | 65 | function [d,eegICAprunned]=preProcessingPipeLine2(eegData,epoc_length,chanlocs)
% eegData=forgedEEG;
%% EEGLAB ON 'Data' VARAIABLE, IMPORT IT AS MATLAB ARRAY IN EEGLAB
%% YOU NEED TO SETUP EEGLAB SOFTWare FROM https://sccn.ucsd.edu/eeglab/index.php
%addpath('.\eeglab2021.1'); %% PLEASE CHANGE THE PA... |
cc3b3b5a29cfd220eec76ae7139a9e6be44085e30536753051e0e5eabd6acf2d | MATLAB | 2,753 | 93 | function [V,Tri]=SpiralSampleSphere(N,vis)
% Produce an approximately uniform sampling of a unit sphere using a spiral
% method [1]. According to this approach particle (i.e., sample) longitudes
% are proportional to particle rank (1 to N) and latitudes are assigned to
% ensure uniform sampling density.
%
% INPUT:
%... |
45813738a9c7a770007c91aff55a0b2140f6c6c9e8d637fd56b08c0b67a4759b | MATLAB | 2,754 | 83 | function JSDs = gretna_JSDs(Data, varargin)
%
%==========================================================================
% This function is used to calculate the Jensen¨CShannon (JS) distance based
% similarity among all pairs of probability distribution functions in the
% Data. The JS distance is the square root of t... |
7b0a951a993b69db6a22f2e928ed2412a498583fa3ee86ea46d8b5ccaa82685c | MATLAB | 2,754 | 90 | function [bfoUsingCorrelations] = ml_core_compute_bfo_90(placemaps, bfoType)
maxId = size(placemaps,1);
numTrials = size(placemaps,2);
perCell = struct('v_all', [], 'vind_all', []);
for gid = 1:maxId
perCell(gid).v_all = [];
perCell(gid).vind_all = [];
for iTrial1 = 1:numTrial... |
1b7fb368d6297291f15cacaea69c59036f0f5cde83f7b99f55a726798cb4a367 | MATLAB | 2,755 | 69 | function [hdr] = read_nex_header(filename)
% READ_NEX_HEADER for Plexon *.nex file
%
% Use as
% [hdr] = read_nex_header(filename)
%
% See also RAD_NEX_DATA, READ_NEX_EVENT
% Copyright (C) 2007, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fieldtrip
% for the documentation ... |
d9b7e4210b45a3bfd08055b6f53430d074fd62bcc70520a5dc5c74cacf9bb2e9 | MATLAB | 2,758 | 71 | function [f F]=motif4funct_bin(W)
%MOTIF4FUNCT_BIN Frequency of functional class-4 motifs
%
% [f F] = motif4funct_bin(W);
%
% Functional motifs are subsets of connection patterns embedded within
% anatomical motifs. Motif frequency is the frequency of occurrence of
% motifs around a node.
%
% Input: ... |
e18db517548149124d5de4ae9ad99344c6e3ba7a2ddfa7cefcd2f437bdd11dea | MATLAB | 2,760 | 63 | function [Iseg labels map gaps E] = vl_quickseg(I, ratio, kernelsize, maxdist)
% VL_QUICKSEG Produce a quickshift segmentation of a grayscale or color image
% [ISEG LABELS MAPS GAPS E] = VL_QUICKSEG(I, RATIO, KERNELSIZE, MAXDIST)
%
% Produces a Quickshift segmentation of an image. See VL_QUICKSHIFT for more
% details... |
590557340da62783b65e307518533c083cd231cbd7a4a303a48bfab1da2d7f93 | MATLAB | 2,762 | 94 | % needed for video test
mglOpen();
mglScreenCoordinates();
mglClearScreen([0.5 0.5 0.5]);
% open the link
% calls mglPrivateEyelinkOpen, default ip is '100.1.1.1', default conntype is 0
try
retval = mglEyelinkOpen('100.1.1.1', 0);
catch
err = lasterror
fprintf(2,'Defaulting to simulation mode.');
retval = mgl... |
b81290ff88c3472d5b533888ef484baa89f107d5b1f68982f12d20ea869e5d45 | MATLAB | 2,762 | 58 | % Licenses for the files included in the correlation toolbox
%% Correlation toolbox - GNU General Public License
% Corr_toolbox is a matlab toolbox intended for the visualization and robust
% correlation analysis of any sets of data. This program is a collaborative
% work between Dr Cyril Pernet (University of Edin... |
2aea21b6c40d05412965a01725ad6e98e3a948f6d6ebaecc3b9de18ff988035e | MATLAB | 2,763 | 89 | function make_motif34lib
%MAKE_MOTIF34LIB Auxiliary motif library function
%
% make_motif34lib;
%
% This function generates the motif34lib.mat library required for all
% other motif computations.
%
%
% Mika Rubinov, UNSW, 2007-2010
[M3 M3n ID3 N3]=motif3generate;
[M4 M4n ID4 N4]=motif4generate;
save mo... |
690f523e4cbfb560e85d4eacda4f4632f5032282852cd3bab35c87d9e7d390f9 | MATLAB | 2,763 | 91 | function [neuronmasks,times] = piece_neurons_consume(neuronmasks,avgA,thresh_mask,thresh_consume,times)
% Combine masks with large IOU or consume.
% thresh_IOU=0.5;
% thresh_consume=0.8;
% thresh_consume should be larger than 2*thresh_IOU/(1+thresh_IOU) to avoid
% two masks consuming each other.
% [Lx,Ly,n] = siz... |
a8e78d61b127505973bcdd64bc1709091bfcd3b55f410b347c42876d9db657f1 | MATLAB | 2,764 | 86 | function [stim,keepPixels] = getSTStimulus(params,stimulusNumber,stimFile)
%% Function to get spatiotemporal stimulus images and parameters
%
% [stim,keepPixels] = getSTStimulus(params,stimulusNumber)
%
% Grabs stimulus and params for each stimulus file
%
% INPUT:
% params.stim.images_unconvolved : Aperture images... |
eb6d7f989b58ceb54decb8e991f44d77c1a11a7a665641ca622f4e449e6251ba | MATLAB | 2,765 | 70 | % mglMetalRepeatingDots.m
%
% $Id$
% usage: [ackTime, drawTimes, frameTimes] = mglMetalRepeatingDots(nFrames, nDots, randomSeed)
% by: Benjamin heasly
% date: 06/17/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Send one command that causes multip... |
522597bced52bd8270b2b7f60f61314482ca8dd2c48c99ce3f76d59f8b4e4b9a | MATLAB | 2,767 | 63 | function lfp_time_domain = fillSurveyParametersMontage( obj, data, fname, obj_file )
% Extract and visualize LFPs from Survey test mode
%
% Syntax:
% FILLSURVEYPARAMETERS( obj, data, fname, obj_file )
%
% Input parameters:
% obj
% data
% fname
% obj_file
%
% Example:
% FILLSURV... |
87b33a487943852358c97b46f2108b6733e7912fd929f9f5318fdebf625c12a5 | MATLAB | 2,767 | 65 | % expand_unitsTableEM
% add columns with diffs right - left
[RR, CC]= size(unitsTable);
Titles = unitsTable(1,:);
% unitsTable(1,CC+1) = {'RLDiff.L_modep'};
% unitsTable(2:RR,CC+1) = num2cell(cell2mat(unitsTable(2:RR,find(strcmp(Titles,'theta.R_modep'))))...
% - cell2mat(unitsTable(2:RR,find(strcmp(Titles... |
bdbc75bc6c2db7f7cd9606d579f12cb53979955e3d6ec749cef4ee7b9de5bba2 | MATLAB | 2,767 | 56 | % extract statistical texture histogram using integral histogram(texture and lbp features)
function [featArr_c, featArr_s] = sp_texture_grid_cs(chns, grid_x, grid_y, patch_size, surrWidth)
[imh, imw, ~] = size(chns.imtext);
% [featArr.texture, ~] = calcMeanandVariance(chns.imtext, grid_x, grid_y, [patch_size, patch_... |
6c283a0fdcb9b561e193cd89781b00f97f1a83fdc74fdc52dab56c0b9884922a | MATLAB | 2,769 | 81 | function [cfgs] = exhaustOrientation(probe)
%EXHAUSTORIENTATION Exhaustively analyze all possible module orientations
% Takes in a probe and exhaustively changes each module orientation. Does
% this for all possible combinations of modules. The number of possible
% configurations is A^B, where A is the number of ... |
8f84270234773b4cc9500e9bcb9ecf2493f6a01c2dfdbf1c0617fea52137b778 | MATLAB | 2,769 | 102 | function [ ] = MYsavenii( data, outputdir, name, varargin )
% Usage: MYsavenii( data, outputdir, name, [refnii] (full path, optional) )
% Saves your matrix in the outputdir with the specified name. Use a nifti
% in the same space to get correct rotations and spatial parameters. The
% varargin can also be a vox... |
a186f3e5d778052ea40e01c9d2f3689623f52334f82607a8284e1cfe7fccdb47 | MATLAB | 2,769 | 60 | function subject_power_2014_FD_only_parse_v2_0_to_1(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
%
% ... |
ef678affc2d5aa384678b880f82ba3c92a640c6b89ebe4635218d6a284b08ee0 | MATLAB | 2,770 | 73 | clear
cd ..
load('binned_site_info.mat')
load('stable')
binned_data=[];binned_labels.stimulus_ID=[];
for i=1:549
Hit=population.goHit.eachDF{i}(46:90,:)';
Miss=population.goMiss.eachDF{i}(46:90,:)';
CR=population.nogoCR.eachDF{i}(46:90,:)';
FA=population.nogoFA.eachDF{i}(46:90,:... |
61c9a969eaabe0b7ebbff5fa390c91e46d7288d561e25a9791decd4aec17deae | MATLAB | 2,772 | 106 | % VL_TEST_INIT Intialize unit test file
% This is a VLFeat internal function used to initialize an .m file
% containing a unit test.
%
% See also: VL_TEST(), VL_HELP().
% Author:: Andrea Vedaldi
% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% Copyright (C) 2013 Andrea Vedaldi.
% All rights reserv... |
97fd859377706588999b1989ad764ebc90be52ca0e7c26602bfa439861924e99 | MATLAB | 2,772 | 99 | function toon_2gray(baseDir, expt, session)
% toon_2gray(baseDir, expt, session);
%
% Step 3 of the workflow for analyzing toonotopy
% Transforms the time series from the inplane to volume anatomy and
% averages the time series
%
% Default Input values
% baseDir '/biac2/kgs/projects/'
% expt '/psych224/... |
0392bfc4cf927b0c632c7e701479685d8d6d2937e89ad19a2e960a033f72e874 | MATLAB | 2,773 | 98 | %
% 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... |
e048569d767ba282539a3a76fa8c783a5b162456cff049e0b600e3f1d8df7c02 | MATLAB | 2,775 | 54 | clear
file=dir('ACC*reverse*.mat');
k1=1;k2=1;
for jj=1:length(file)
load(file(jj).name)
n=length(outcome);n1=fix(n*0.15);
% outcome=outcome(1:n1,:);
nogotrial=find(outcome(:,1)==3|outcome(:,1)==4);%Nogo trial,cr/fa
nogotrial(find(nogotrial<=1))=[];
previous_trial_ng=outcome(nogotrial-1... |
ec8efa79ce70a11d2a19d05ce2ed7e1e54c4f7b35926f72c6949b78bffd84e10 | MATLAB | 2,776 | 109 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
% This makes figure S1, which is the dig matrices.
close all
clear all
clc
% Paths
run('../load_figure_config.m')
INPUT_FOLDER = CHENGS_TASK_2C_FIGURES_CONFIG.DATA_FOLDER;
OUTPUT_FOLDER = CHENGS_TASK_2C_FIGURES_CONFIG.FIGURE_OUTPUT_... |
1cca73df6068e19d56f3e05432f202850979c550ac53ff22d8ef4990d55a8244 | MATLAB | 2,777 | 62 | function [subject_survival_list, subject_survival, missing_data] = power_motion_survival_plot(group_folder_path,subject_list_file)
%Displays a colour map of the number of seconds remaining at various FD thresholds
% Inputs:
% group_folder_path Full filepath to where your timecourses are located
% subject_list_fil... |
21cd3301940cce890266b7602dc77e2926cdde0cf5c7514da7761333f0ed5ca8 | MATLAB | 2,777 | 101 | close all
clear all
%% create figure 4A_B_C
%% janine.thome@zi-mannheim.de
%% paths
pato=['/###/Figures/']; %% add output path
if ~isdir(pato), mkdir(pato); end
%% load
file = 'Multim_Performance.mat';
load(file)
%% plot Balanced Accuracy
% create colored fig
h1=fi... |
644512d9afc842cb62be7bc8afa11cd647eff0a349ed04bdcb3323e93577475c | MATLAB | 2,777 | 67 | function output = TDMS_dataToGroupChanStruct_v3(inputStruct,varargin)
%TDMS_dataToGroupChanStruct_v3
%
% translates objects AND properties to valid field names
%
% Similar to TDMS_dataToGroupChanStruct_v1, but also translates
% properties
%
% output = TDMS_dataToGroupChanStruct_v3(inputStruct)
%
% ... |
ab0a3061af0e4e4e8009e2c8b057c32a9605007561f48798ec48c12d25102617 | MATLAB | 2,778 | 105 | %
% Compute a network statistic over time on the full data (i.e. not split).
%
% PARAMETERS
% $network The network; must have timestamps
% $statistic The statistic
% $type The data to use, "full" or "split"
%
% INPUT
% dat/info.$network
% dat/data.$network.mat (only full)
% dat/split.$network.mat (only split)
% dat... |
1a6c77791fd5124b5f32362cbde56203b70b9dd49996583a7ace99fee138aa59 | MATLAB | 2,779 | 76 | function [unit_angles,means,types,ratios,lengths,ds_vect,som_trials,pv_trials] = get_vector_angles_ratio(ds_events,id_list,activity_length)
count=0;
unit_angles=[];
ratios=[];
means=[];
types=[];
start=0;
for d = 1:12
%load(['Z:\Potter et al datasets\' ds_events(d).tag 'activity.mat'])
cell_ids=id_list{d};... |
fa7dc968f4c66b55abdb32fbf47c54a041c4c9b9f846f2710499f84a18322dbf | MATLAB | 2,779 | 68 | function compute_smoothed_behaviour(obj, session, trial)
experimentDescriptionFilename = fullfile(obj.RecordingsParentFolder, 'experiment_description.json');
uniform_dt_ms = 10;
dmax_cm = 0.25;
maxSpeed_cm_s = 30;
trialFolder = trial.getAnalysisDirectory();
%scopeFilename = fullfile(trialFolder... |
81ce94b4c44e96b823e87dbe85f680450e657a96be01dece8c6085f543c3377e | MATLAB | 2,780 | 87 | function [stim,keepPixels] = getSTStimulus(params,stimulusNumber,stimFile)
%% Function to get spatiotemporal stimulus images and parameters
%
% [stim,keepPixels] = getSTStimulus(params,stimulusNumber)
%
% Grabs stimulus and params for each stimulus file
%
% INPUT:
% params.stim.images_unconvolved : Aperture images... |
885a67a750f349e0ff4de7c87ea18e7f0603e7a5b63adf3b5fc51d90b157868d | MATLAB | 2,781 | 88 | %Test FfdrGRP function
%
%AUTHOR: Eric Fields
%VERSION DATE: 12 June 2020
global test_xls_output
if isempty(test_xls_output)
test_xls_output = true;
end
%Load GRP
FMUT_dir = fileparts(fileparts(which('A_setupTest')));
load(fullfile(FMUT_dir, 'testing', 'data', 'Disflu_GroupLevel.GRP'), '-mat');
%De... |
e7caf137c7cbdf7eb750c5efa2a7a855cafa66f17bfbce1c7af2b8b50ec443cd | MATLAB | 2,782 | 127 | %
% Plot and print a cross-method comparison plot.
%
% PARAMETERS
% prec (m*n) Precision values
% filename_a, filename_a_bw, filename_b, filename_b_bw, filename_legend, filename_legend_bw
% Filename of plots
% labels_method_id (m) Names of methods
% labels_network_id (n)
% label_measure
%
function comparison_c... |
1610f6dc3a38aaff9ad810c1b0cb4d76bb1b986f15dd032f285fb4261d8ba8ec | MATLAB | 2,784 | 66 | function output = TDMS_dataToGroupChanStruct_v4(inputStruct,varargin)
%TDMS_dataToGroupChanStruct_v4
%
% NOTE: This reproduces the data structure for the old lab functionality
% of the function getStructTDM
%
% See Also: TDMS_genvarname2, TDMS_readTDMSFile
REPLACE_STR = '_';
PREPEND_STR = 'p_';
P... |
f2ca5f30831bc81205a88dbf6f10be365e13b00f1254a8407afaee52c99b7553 | MATLAB | 2,784 | 82 | function mlgp_create_sfp_celllike_database(obj, session)
fprintf('Creating spatial footprint (sfp) celllike database (one sfp per placemap) for session %s\n', session.getName());
% This create an array database that has one sfp classification
% per neuron, per trial for one session.
numTrials ... |
e8911b5b821ca1c62167b5fdb676e259f1d5ab504edcb983b7cd03ebd5a9ea21 | MATLAB | 2,785 | 91 | function h = nifti(varargin)
% Create a NIFTI-1 object
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: nifti.m 8776 2013-11-14 09:04:48Z roboos $
switch nargin
case 0,
org = niftistruc;
hdr = [];
for i=1:length... |
b1420788da31a631346c6989e78c07f4ab3bcf38fd823c4f9c10a6ee291d2145 | MATLAB | 2,786 | 73 | %% Clean
clearvars
close all
clc
%% Load streamline data
atlas = "JHUlabels"; % Selecct white matter atlas
atlas_labels=importdata(atlas+"_labels_short.txt"); % import labels of atlas
sessions = ["midcycle" "interictal"];
% Load streamlines of all groups
for s = 1:length(sessions)
[streamlines.(sessions(s)),n_no... |
d56c8c421c368967adf741ece482124d1312a38edacfedbda83451ccabcaa8b4 | MATLAB | 2,786 | 99 | % [pos, neg] = get_clusters(vals, mode)
% this is a subfunction of perm_ttest.m, perm_oneway.m and gets cluster infos
% from a series of values (t/f,1-D array of either from the true or one of the
% false label assignments)
% vals shouls already be thresholded, i.e., only contain vals
% for which p < clusteralpha, an... |
4e6955dd4f516195601763483b2ce4a1b3ee8cf481e263c33504a3c22c3ebbe0 | MATLAB | 2,787 | 77 | function hdr = read_deymed_ini(filename)
% READ_DEYMED_INI reads EEG data from the Deymed Truescan file format
%
% Use as
% hdr = read_deymed_ini(filename)
%
% See also READ_DEYMED_DAT
% Copyright (C) 2013, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fieldtrip
% for the d... |
a9ee1b8ba8c7514bd8f4f230a5c219c2882fe874654701fe5b09ce4a67817f46 | MATLAB | 2,787 | 73 | %
% 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... |
4766581049fd8464949b3153aa42622d3013fb7e35baaa2f825dab92454191b2 | MATLAB | 2,788 | 85 | %
% 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... |
935a94593af8d5fd78fe72f77e558f5d35ee7bc0d8ee48916bfc68c5566452cc | MATLAB | 2,788 | 73 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [output] = get_cell_data_by_name(T, animalName, sessionName, cellName)
% Should be a table with one entry for each cells and each trial. eg.
% if 2 cells and 12 trials each, table should have 24 rows.
output... |
6bedd578807c7fd16f8c0243c77781f4276be6115f878bb18a4682765586f601 | MATLAB | 2,789 | 74 | function heatmaps = getHeatmaps(data, opt)
heatmaps = struct();
pois_voronoi = opt.aois.UL.M.face1.voronoi + ...
opt.aois.UL.M.face2.voronoi + ...
opt.aois.UL.M.face3.voronoi + ...
opt.aois.UL.M.face4.voronoi + ...
opt.aois.UL.M.face5.voronoi + ...
opt.aois.UL.M.face... |
9ec469d5bfbeb293476d3f05e7c3b120aefe3cc4bce3ce6e0a4121360bf16a43 | MATLAB | 2,791 | 141 | function plot_wcp(in,varargin)
% PLOT_WCP Plot two-channel data recorded with the WinWCP software.
%
% PLOT_WCP(IN) plots WinWCP data, where IN can be a string containing the
% filename or the output of the function IMPORT_WCP.
%
% PLOT_WCP('',...) user inteface selection of the file.
%
% PLOT_WCP(...... |
e377f6717e56c47bf4e1b88407ccf9ee6957aaeab9617c980cceae082d0164db | MATLAB | 2,794 | 96 | close all
clear all
clc
%a = 100;
%poly = [0 0; a, 0; a, a; 0, a];
a = [0, 20];
b = [0, 0];
c = [30, 0];
d = [30, 20];
refCanPts = [a(1), b(1), c(1), d(1); a(2), b(2), c(2), d(2)];
poly = refCanPts';
figure
plot(poly(:,2), poly(:,1), 'b-*', 'linewidth', 10)
hold on
plot([poly(1,2), poly(end,2)], [poly(1,1), poly(end... |
f6c0f6954e508067db6db78fd0c4be3e7ce2c7a62a0a0fb7b6b811e9424e069d | MATLAB | 2,794 | 125 | %
% Plot the edge weight and multiplicity distributions of a network.
%
% PARAMETERS
% $network Network name, must not have format UNWEIGHTED
%
% INPUT FILES
% dat/data.$network.mat
%
% OUTPUT FILES
% plot/weights.{a}.$network.eps
%
network = getenv('network');
font_size = 22;
consts = konect_consts();
colo... |
05d2ca0c7b138fab500440543c5d8d5394a84fa944abb621a4a4e0095938950e | MATLAB | 2,795 | 69 | classdef SweepTable < types.hdmf_common.DynamicTable & types.untyped.GroupClass
% SWEEPTABLE [DEPRECATED] Table used to group different PatchClampSeries. SweepTable is being replaced by IntracellularRecordingsTable and SimultaneousRecordingsTable tables. Additional SequentialRecordingsTable, RepetitionsTable, and Exper... |
e375fbab8414852cdbcba83a48822b43a6130e34d12ce8d1c44aad67a33ce053 | MATLAB | 2,797 | 54 | %%
fs = filesep;
handles.fs = fs;
%% Defaults to calculate connectotyping
handles.connectotyping_settings.default_frames=60; % set the number of random frames included to connectotype, subjects with fewer frames will be excluded from this environment
handles.connectotyping_settings.repetitions=10; % if a participant ha... |
6510ac15fb1a120c72bf9a177aa045d4e57e641fed577fc1a087ea4f19b7eddf | MATLAB | 2,801 | 50 | function [probe] = translateModules(probe, moduleidx, translate_amount)
%TRANSLATEMODULE Translates a module within a probe in x and y
% Give a vector of module ids and a translate_amount=[x,y], this function
% will update the modules' centroid position as well as sources and
% detector (if they exist).
optexis... |
100f694870947c381ad4656476db846d55a2d8f5f1a1cc989b8697596891c368 | MATLAB | 2,805 | 104 | %% Combine Motor & Ephys Files into a Spike2 .smr
%% Reset Everything
clear;clc;close all
%% Setup
%ExpmtDataFolder = 'G:\My Drive\Expmt Data\2019_05 - Max Climbing Fiber\Initial Data for testing';
ExpmtDataFolder = 'G:\My Drive\Expmt Data\2019_05 - Akira and Sriram Complex Spikes';
bFiles = dir([ExpmtDataFolder '\*... |
3e2abe777dc766d3758ba751106c383717acb27f7327ba8724a8f5811cd13d87 | MATLAB | 2,806 | 82 | function Params = readparamsfromdicom(dicomheader, Params)
% function Params = readparamsfromdicom(dicomheader, Params)
%
%% Author: Xu Li
% Affiliation: Radiology @ JHU
% Email address: xuli@mri.jhu.edu
%
% extracted scan information from dicom header and save to Params structure
%
% input:
% dicomheader: dicom... |
d9ea3309ddf47f12940cfd630dd7bcaa07a3783bcb9304753eec7666d12002c6 | MATLAB | 2,806 | 85 | function eframes = vl_frame2oell(frames)
% VL_FRAMES2OELL Convert a geometric frame to an oriented ellipse
% EFRAME = VL_FRAME2OELL(FRAME) converts the generic FRAME to an
% oriented ellipses EFRAME. FRAME and EFRAME can be matrices, with
% one frame per column.
%
% A frame is either a point, a disc, an orien... |
089c07bd6329684f927f5dd85775631fe2e9b8652ea5d3c0835744d6a052f4e0 | MATLAB | 2,807 | 75 | classdef voronoi_AOI < AOI
%UNTITLED Summary of this class goes here
% Detailed explanation goes here
properties
voronoi_distance;
end
methods
function self = voronoi_AOI(all_pois, trail, allowed_angle, max_vor_distance)
self.allowed_angle = allowed_angle;
... |
513b0f36398ea96ed47b7f3bd3f3be84fc744d08a9b885898aff324605415cd0 | MATLAB | 2,807 | 80 | function [avg] = read_ns_avg(filename)
% READ_NS_AVG read a NeuroScan 3.x or 4.x AVG File
%
% [avg] = read_ns_avg(filename)
%
% The output data structure avg has the fields:
% avg.data - ERP signal in uV (Nchan x Npnt)
% avg.nsweeps - number of accepted trials/sweeps in avg
% avg.variance - varian... |
b293ad51851a72492a073cf0ace46b856af12e843d849f6636ae6d717da2b53b | MATLAB | 2,807 | 85 | function [ text ] = plotImpedance( obj, varargin )
% Plot impedance.
%
% Syntax:
% PLOTIMPEDANCE( obj );
%
% Input parameters:
% * obj - object containg data
%
% Output parameters:
% text
%
% Example:
% PLOTIMPEDANCE( );
%
% Available at: https://github.com/NCN-Lab/DBScope
% For referencing, please use: Andr... |
d93ab0df28a02182ccfdf30746fd9c9cb09f72117c429c95d493f718d51c84dd | MATLAB | 2,807 | 53 | function cmd = backgroundCommand(cfgPath, zipPath, isPC)
% Shell command that runs curl detached, then deletes the curl config and the zip
%
% function cmd = webupload.backgroundCommand(cfgPath, zipPath, isPC)
%
% Purpose
% Composes the command string that webupload.postZip hands to system() whe... |
1e574af392471b0af544810a1fe6b3a017b46785b14c0b74ea0eb71bf3a39995 | MATLAB | 2,809 | 102 | classdef My_sum_layer < dagnn.ElementWise
%SUM DagNN sum layer
% The SUM layer takes the sum of all its inputs and store the result
% as its only output.
properties (Transient)
numInputs=[];
end
properties
use_gradient_scale_factor=true;
end
methods(Static)
end
methods... |
129900f1938239742e2d2d6cb244d222880755b726f63a439c8865cfa4a510bf | MATLAB | 2,812 | 109 |
close all;
clear all; clc
%% create figure 2D
%% janine.thome@zi-mannheim.de
%% path
pato=['/###/Figures/']; %% add output path
if ~isdir(pato), mkdir(pato); end
%% fig set
fs=16; lw=2;
basevalue=0; ... |
da34ccf57526dccad72a62d63f6b073a587f033b3cac99c8385b85d29331ff2c | MATLAB | 2,812 | 73 | function [list_weight,list_weight_trace,list_weight_frame, sum_edges]...
= frame_weight_blockwise_mm(mm, d, masks, leng)
T=mm.Format{2}(3);
% [Lx,Ly,T]=size(video);
[Lx,Ly,N] = size(masks);
npatchx = ceil(Lx/leng)-1;
npatchy = ceil(Ly/leng)-1;
% ROIs2 = reshape(masks,Lx*Ly,N);
edges = false(Lx,Ly,N);
for nn=1:N
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.