sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
fc33f6b11b3583ae2c6271c35eb87c6430359569da2c020ea5a0e5c5cb4030ab | MATLAB | 2,603 | 58 | function subject_FD_parse(FD_movement_files,skip_seconds,epi_TR,brain_radius_in_mm)
% FD parsing Nipype wrapper pulling in list of motion files
% All variables (skips, TR, CurrentDirectory) set within Nipype
% Iterates over range of values from 0.1 to maximum of 0.5 FD threshold
% Outputs to .mat file
% FD_movement_fil... |
027661490fe9b2952249ca7f3e0fd803007df96c4b18fa1b9ba753436f7634e6 | MATLAB | 2,605 | 77 | %% Set Up
clear;clc;close all
dbstop if error
%files = dir('C:\Users\maxwellg\OneDrive\04 Work\01 Stanford - LSRP\CF Project\Data\D1_1995\**\**');
%files = dir('C:\Users\maxwellg\OneDrive\04 Work\01 Stanford - LSRP\CF Project\Data\D1_1995\da0208');
%files = dir('C:\Users\maxwellg\Documents\CF_Project\Data\D2_1995\da031... |
53cd20ccb242b47576cc4a652645a4e096b6ff539b34587343be00349881a2df | MATLAB | 2,606 | 80 | function [hdr] = neuralynx_getheader(filename)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% SUBFUNCTION for reading the 16384 byte header from any Neuralynx file
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright (C) 2007, Robert Oostenve... |
826f56abddc119f0bb82a38c8be266fa588e0d8cae29a2a894dbe864a2b48b62 | MATLAB | 2,606 | 106 | % mglMonitorDims.m
%
% $Id$
% usage: mglMonitorDims(<monitor>)
% by: justin gardner
% date: 01/28/09
% purpose: A display showing monitor dimensions in degrees.
%
% If monitor is -1, then this just draws to an already open display, does not flush and returns immediately
% ... |
4aac576db54cfb5b1bf718f0bb4ad916595b9b9b05a315f3ad7f748cc13aa17f | MATLAB | 2,607 | 70 | %% corr the coupling R2 or P-value with transmitter maps
%% para
roi_num = 48;
load('Edge_GLM_fun_str_dis_commu_DBM.mat')
AR = cat(1,results(:).AR);
AR_p = cat(1,results(:).AR_moran_p);
load('neuro_trans_net.mat','TM_data','trans_name')
TM_data = TM_data.JHU;
p_fdr = 0.05;
rand_time = 10000;
results_trans = struct;... |
a41a66ce5b55c4ed27e1fa4b379b1afe77734a772f5956054c4a0fcc0e8a9022 | MATLAB | 2,607 | 81 | function [event] = read_nexstim_event(filename)
% Use as
% [event] = read_nexstim_event(filename)
% Written by Vladimir Litvak based on the function nxeGetTriggers
% provided by Nexstim
%
% Copyright (C) 2007, Vladimir Litvak
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fieldtrip
% for the ... |
4537d82aa118397404b55120e63229ff13da13862287a58503fcbd93435adbab | MATLAB | 2,609 | 94 | function [t, Nu, Net] = RNNDynamics(Net, TimeSpan, NuExt, ODESolverOpts)
% 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 columns ... |
d6b79706ddce783efafad2b93411437e41cc0e53c3288e3e411ac51521d835ac | MATLAB | 2,610 | 93 | % mglTestGamma.m
%
% $Id: mglTestGamma.m 600 2009-07-25 08:02:30Z justin $
% usage: mglTestGamma()
% by: justin gardner
% date: 06/30/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose:
%
function retval = mglTestGamma(screenNumber)
% check arguments
i... |
d4bddd11fdeedd5e023d8a352ddca7a8166e9caae172073cffccc8e27794a146 | MATLAB | 2,611 | 81 | %% Start the main pipeline
filenames = {'Mouse_1K','Mouse_2K','Mouse_3K','Mouse_4K',...
'Mouse_1M','Mouse_2M','Mouse_3M','Mouse_4M'};
load('EXTRACT/eval.mat')
% radii = [4:8];
% SNRs = [3:4:23];
output_folder = ['./EXTRACT_CV/'];
if ~exist(output_folder,'dir')
mkdir(output_folder);
end
CV_times = zeros(length(... |
02a2ef93fb3fa3e1dfc7f654fd98e116c37d4f974bab5cc20ee3816e463655b9 | MATLAB | 2,612 | 84 | % filtFictrac_all.m
%
% Function that downsamples and filters FicTrac data of all user-selected
% pData files. Runs by calling dsFiltFictrac(), which operates on a single
% trial.
%
% Must have run selectDroppedFicTrac() on selected pData first.
%
% INPUTS:
% none, but prompts user to select pData files to process
... |
e6b5a489cf1f2d7a4bc8fb925ab8493ffbb09df8be517c3c0441cc561f23e2e0 | MATLAB | 2,612 | 80 | function R=randmio_dir_connected(R, ITER)
%RANDMIO_DIR_CONNECTED Random graph with preserved in/out degree distribution
%
% R = randmio_dir_connected(A,ITER);
%
% This function randomizes a directed network, while preserving the in-
% and out-degree distributions. In weighted networks, the function
% preserv... |
aa3eced46b760826e0381863d789c8b52e602b640416b928916674e70b893ba0 | MATLAB | 2,618 | 89 | % VL_DEMO_MSER_BASIC Demo: MSER: basic functionality
pfx = fullfile(vl_root,'figures','demo') ;
randn('state',0) ;
rand('state',0) ;
figure(1) ; clf ;
% --------------------------------------------------------------------
% Load a figure
% ----------------------... |
048699844b6c22281d5dc236c2c9ecaa9d50db57e35acc4c2f89286a57765012 | MATLAB | 2,619 | 63 | function [wij, seed, pattern, castor_map] = ...
prepare_data_patient(pat_dir, get_SEEG, get_map)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% If you use this code, then please cite:
% 1.- Ana P. Millan, et al. "Individualized epidemic spreading models
% predict epilepsy surgery outcomes: a pse... |
e73e97d719de07901249d37d9cc011612f804ba8b391a50f3f6c2f22313f031c | MATLAB | 2,619 | 70 | % getLegPhaseDiffs.m
%
% Function that takes in leg phase (computed in getLegPhaseFromSteps()) and
% returns pairwise differences in phase between legs
% Leg pairs:
% R1-L1, R2-L2, R3-L3, R1-R2, R2-R3, R1-R3, L1-L2, L2-L3, L1-L3, L1-R2,
% R2-L3, R1-L2, L2-R3
% Leg phase can be NaN so phase difference will be Na... |
7b51103e6a2f2670c89e702a04d7b803630227613a5cbaa6361564cfc8b20f4f | MATLAB | 2,620 | 81 | whichParam = 'stepDirections';
whichPhase = 'stance';
disp('Select output files from saveLegStepParamCond_bouts()');
[outputFNames, outputPath] = uigetfile('*.mat', ...
'Select cond_bouts files', datDir, 'MultiSelect', 'on');
numCond = length(outputFNames);
paramVals = {};
for i = 1:num... |
5bcc8c7f85e7a868b2c701097b38369d66c35ba7306b15cc752def674085cb56 | MATLAB | 2,621 | 62 | % mglMetalRepeatingBlts.m
%
% $Id$
% usage: [ackTime, drawTimes, frameTimes] = mglMetalRepeatingBlts(nFrames)
% by: Benjamin heasly
% date: 06/15/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Send one command that causes multiple texture blts.
% ... |
45c89862ca4912f14ca333f0f3357f6057d4215bd3215ce553f8cd426932cec8 | MATLAB | 2,622 | 82 | % taskTemplateSaccade.m
%
% $Id: taskTemplate.m 217 2007-04-04 16:54:42Z justin $
% usage: taskTemplateSaccade
% by: justin gardner
% date: 04/27/2010
% copyright: (c) 2010 Justin Gardner (GPL see mgl/COPYING)
% purpose: example program that demonstrates a simple saccade task
% ... |
8b10985b0cd219360999f4800ff1383b84f057feda73eb80119f3da80848d440 | MATLAB | 2,627 | 55 | function y=getmondim(mnum)
% y = getmondim(monitornumber) GET MONitor DIMensions.
% "y" is the dimensions of the specified monitor represented as
% [xstart,ystart,width,height] where values are in pixels.
% (xstart,ystart) are the absolute coordinates of the lower left corner.
% "monitornumber" is a number ass... |
321e416d3e186432d36487eedc69966eab94788170f7fecdd141796bfe99f334 | MATLAB | 2,628 | 136 |
function b=my_cell2mat(a, cat_dim, e_count)
if isempty(a)
b=a;
return;
end
cell_num=numel(a);
if cell_num==1
b=a{1};
return;
end
if nargin<2
cat_dim=[];
end
if nargin<3
e_count=[];
end
if isempty(cat... |
9862ae6c414b835a748621daa850de5006d3efcf23e2077eb9908dcc68cb3c69 | MATLAB | 2,630 | 94 | % plotRawImgFicTracData.m
%
% Function to plot raw traces of imaging data (dF/F) for all ROIs and
% FicTrac data (yaw angular velocity and forward velocity), each in its
% own separate subplot
%
% INPUTS:
% frameTimes - frame times of imaging data
% bksSignal - background subtracted fluorescence signal for all ... |
096ab8a3f3108cdb2404df235838e32c55c6cedc907050dc3afed1ec255f9250 | MATLAB | 2,632 | 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_ade()... |
d6f8b0ba0248c83d28f701b1b92159401142d82461405193fb6fee730c3ff8b0 | MATLAB | 2,632 | 96 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function make_bfo90_PerAnimal_formatted_for_sigmastats(analysisSettings, analysisResults)
% Not used
%MIN_COMPARISONS = analysisSettings.BFO90_PER_CELL_MINIMUM_DATA;
F = 'NormalBFO90';
T = analysisResults.(F);
[SessionsToGroups] =... |
26cd3e8f66afb174600826a91a85e6ee13322b079badf22658bbb74ddb74b69f | MATLAB | 2,633 | 58 | function [ signal, states, parameters, total_samples ] = load_bcidat( varargin )
%LOAD_BCIDAT Load BCI2000 data files into Matlab workspace variables.
%
% [ signal, states, parameters, total_samples ] = load_bcidat( 'filename1', 'filename2', ... )
%
% loads signal, state, and parameter data from the files whose names... |
cd97cd547ea44cfe24daa36fde3caf6a5d70fb431c5032168ea35cd0bd16fa5d | MATLAB | 2,633 | 67 | function plot_summary1(csInfo, z, titlez)
%% Set up
csInfo_good = csInfo(logical([csInfo.usable]));
figure('Position', [2 42 958 1074])
Summary = tight_subplot(3,1,[.03 .03],[.03 .03],[.03 .03]);
%% FIG A: Stim, and CSs
axes(Summary(1))
histogram([csInfo.timeRel2Cycle_sec], linspace(0,z.cycleLen_sec, 51), 'FaceColor'... |
263fab8fa2224f6edc203dab20444771b4c67778bafd21f39f0b4bcf27bfc0b4 | MATLAB | 2,634 | 66 | function [metrics] = calculate_metrics_v2(mat,v,varargin)
% This function calculates the graph metrics given a connectivity matrix and a given choice of metrics
n_nodes=length(mat);
len_mat=1./mat; % conection-length matrix
d_mat= distance_wei(len_mat); % distance matrix
randmat=random_matrix(mat);
len_randmat=1./ra... |
36969a87b379ea538c09b00664d69c66f4b4650db67b4f277b3825242291844e | MATLAB | 2,635 | 82 | classdef SoftLink < handle
properties (Hidden, SetAccess = private)
target = [];
end
properties (SetAccess = private)
path = '';
end
methods
function obj = SoftLink(target)
%SOFTLINK HDF5 soft link.
% obj = SOFTLINK(path) make soft link ... |
d2f6a006adb3aa2094afd038b3e6d66955c29eb23a914992307ff8b6162787de | MATLAB | 2,635 | 89 | function roi_averages(DATA,ROI,AddInfo)
%
% This Aedes plugin calculates and plots average time series from ROIs
%
if AddInfo.isDataMixed
% Make data a 4D-matrix if it is loaded in aedes as a stack of 2D or 3D images
DATA2{1}=DATA{1};
DATA2{1}.FTDATA = zeros([size(DATA{1}.FTDATA,1),...
size(DATA{1}.FTDATA,2)... |
91aea9de5a6255cb156c4cc3e8641e2e44853b10f7887f63432197d32b611032 | MATLAB | 2,636 | 69 | function c = InvProbV2Cons(x,Imat_t,tn,ni,nh,no,at_C_in_t,at_H_in_t,at_O_in_t,fv_in_t,V,CAf_in_t,CBf_in_t,CDf_in_t,mol_W_in_t,delta,data)
wh = reshape(x(1:ni*nh),[ni,nh]);
wo = reshape(x(ni*nh+1:ni*nh+nh*no),[nh,no]);
bh = (x(ni*nh+nh*no+1:ni*nh+nh*no+nh))';
bo = (x(ni*nh+nh*no+nh+1:ni*nh+nh*no+nh+no))';
y_r = r... |
2eb3bfcb36a77317361da33fe1fef962f1ab39a205c5e4880c68498fe49d7199 | MATLAB | 2,637 | 93 | function [Image] = scalebar(I,pxsz,unit)
% writes a scalebar into the image
% To be used with full size HRTEM images of Size 1024x1024 - 2048x2048
% Copyright (C) 2022 University of Duisburg-Essen
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Ge... |
36e2cca3dd68b68523288afc677bed6eb5d723e5da3848c9da97225e027e0b64 | MATLAB | 2,640 | 96 | function orient_chosen = searchGaborOrientation(imagesCellTrain, param, plotta)
%Output:
%orient_chosen: vector of angles (in degrees)
%init
histAll = zeros(1, param.numBins);
%parfor im_index = 1 : numel(imagesCellTrain)
for im_index = 1 : numel(imagesCellTrain)
%for im_index = 1
%select image
img ... |
33e75a27a7be0d0fcc674659d4fff0a1128aedd0217a4f103bac781a7713b407 | MATLAB | 2,641 | 79 | % set up the paths
isdone = ~isempty(which('ctrax_matlab_misc_check')) && ~isempty(which('ctrax_matlab_filehandling_check'));
if isdone, return; end
dirnamestry = {'.','../matlab','..','matlab','../Ctrax/matlab'};
% try last saved location
rcfile = which('setuppath');
rcfile = strrep(rcfile,'setuppath.m','.setuppat... |
be2661d60de32689da55c1c32aa653c8d91e117fb8ca8c8de20bebc41f890ef3 | MATLAB | 2,642 | 80 | function corra = corrA(Var,LFP,Fs,elec)
% compute corr LFP*Var.
% var is the frames vector of tuning var.
% LFP
%
globals;
% CORRPAR.lags = [-500, 500]; %ms
% CORRPAR.maxF = 100; %Hz. low-pass filtered up to maxF before xcorr
Clags = floor(CORRPAR.lags*Fs/1000); % in samples
%[c, lags] = xcorr(cell2mat(... |
f4b60ac86e3f54769c83c10a35412afd6db9e29ad1b56ee974d6e4c897843877 | MATLAB | 2,642 | 77 | %% All necessary topoplots
% Load necessary data
addpath Z:\MATLAB\fieldtrip-20210328 %Windows
saveFolder = 'Z:\MATLAB\Perceptual_Load\FieldTrip\Results\group_level\';
ft_defaults
%% Alpha
load([saveFolder 'Alpha' filesep 'TFR_dt_all_subs_alpha_pow'])
load([saveFolder 'Alpha' filesep 'comb_planar_labels_alpha'])
loa... |
8d2573880a431503ded2e177eab7979764b33cc5c9b2e4c4057efb6e000f23b7 | MATLAB | 2,643 | 86 | clear
file=dir('ACC*restable*.mat');
k=1;
for jj=1:5
load(file(jj).name)
gotrial=find(outcome(:,1)==1|outcome(:,1)==2);%GO trial
gotrial(find(gotrial<6))=[];%form 6th trial
gotrial(27:end,:)=[];%uniform trial number,total 26 trials
Previoustrial=ones(length(gotrial),5);
for ik=1:5
... |
deb34f5fabdc2220552ea90d4f32ea10107adfa63bc0a6d44535d991b88928f6 | MATLAB | 2,643 | 76 | % preprocessLegVid.m
%
% Function for preprocessing raw voltage signals from the leg tracking
% camera (strobe signal with falling edge as frame start). Extracts leg
% video frame times. Checks that number of frames camera says it has
% captured matches number of trigger pulses sent.
% Returns these parameters as ... |
adad97e67b2a0c8b541ac57635f0c576b7d0165f6e6d84500561227a63c2acea | MATLAB | 2,645 | 64 | % This is a one-off script. It was written to process the concatenated
% CNFMe into the separate trial results
close all
clear all
clc
fclose('all');
%%
config = mulana_json_read(fullfile('R:\chengs_task_2c\code\ucla_miniscope\NotUSed', 'pipeline_config.json'));
experimentDescriptionSepFilename = 'T:\Minimice\feature... |
12dca992ffc00b515b14b4530b1c1b3c7ec3c826ef8dc3513b7a77fef67032e3 | MATLAB | 2,646 | 76 | %% runEyeCalibration
% Run a mouse video eye tracking calibration session
%
% Hannah Payne
% Raymond Lab, Stanford University 2013
% hpayne@alumni.stanford.edu
%
% NOTES
% - To install cameras, enter: imaqhwinfo('winvideo')
% If an error returns, click the link and install the OS Generic Video
% Interface
% - If two ca... |
4fffe9c60025a02beb70cffd43a9e29d3f40ae638af8f70c9fee22b8c6b575c7 | MATLAB | 2,646 | 97 | % mglClose.m
%
% $Id$
% program: mglClose.m
% by: justin gardner
% date: 04/03/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Shut down the mglMetal app
% usage: mglClose()
%
function retval = mglClose()
% check arguments
if ~any(nargin ==... |
7407237180beb3515701d76c8a81ba6262f5479a3f4ea22de1eb319c451dd10b | MATLAB | 2,646 | 64 | %% input: bits of dendrite line and synapse locations
load('lineSegments.mat');
load('markerCoordinates.mat');
%% for each marker, calculate the distance in y from the line
% For each synapse, make a vertical line
synapseLines1=[markerCoordinates.vglut1X repmat(1,size(markerCoordinates.vglut1X,1),1) markerCo... |
e95cf2a592bcd0821874fbf3016fe997b188ca67eb1cfbc5f42dda48c97963be | MATLAB | 2,646 | 81 | function [FR,spkPerTr,nPerTr] = getBoundedFR(Recordings,datadir,inds,rt_good,mt_good,boundSpec)
%getBoundedFR.m 7/19/22
startevt = boundSpec.startevt;
endevt = boundSpec.endevt;
start_offset = boundSpec.startoffset;
end_offset = boundSpec.endoffset;
filterFRs = optCheck(boundSpec,'filterFRs',false,[true false]);
min_s... |
0f156b9d91689a5c25ea4fb8a8fc1aa1168972030a2ed42f0a57cee342d1c262 | MATLAB | 2,648 | 69 | % 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... |
e1df5204653b59f8e9ceb46c84e83380c06605fd27304ca06c5ed52b170df156 | MATLAB | 2,648 | 69 | % 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... |
072863d97fb896f81bc8e42c187c4ba4874cef5894ca77be94b894c4fd52bb53 | MATLAB | 2,651 | 73 | function CBIG_ASDf_plotCorrWithBest(inputDir, k, r_final, corr, outputDir)
% CBIG_ASDf_plotCorrWithBest(inputDir, k, r_final, corr, outputDir)
%
% This function plots the correlation between final estimate and other
% solutions, sorted from highest to lowest likelihood.
%
% Input:
% - inputDir:
% Absolute... |
65e8a0108565dbd6a788acdc5dba78b334814775c107186b5acd788b4738a9d0 | MATLAB | 2,651 | 84 | function model = glmFracRidge(Y, X, fracAlpha)
% Apply a general linear model (GLM) with fractional ridge regression
% (minimizing the L2-norm) to data in Y using design matrix in X. This
% function requires the toolbox fracridge:
% https://github.com/nrdg/fracridge.git
%
% INPUTS
% Y: TR by voxel matrix of fMRI ti... |
7c0a60d9825c99d9f6eb69db10b3d144310f5a9cfdffa344633b9f824d4513cd | MATLAB | 2,653 | 108 | function asc = read_eyelink_asc(filename)
% READ_EYELINK_ASC reads the header information, input triggers, messages
% and all data points from an Eyelink *.asc file
%
% Use as
% asc = read_eyelink_asc(filename)
% Copyright (C) 2010, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroima... |
d52465cbaa04df9aa4a162d233346b5e263b34cdb5555870826f685fe1838381 | MATLAB | 2,653 | 84 | function [datout, tim] = ft_preproc_resample(dat, Fold, Fnew, method)
% FT_PREPROC_RESAMPLE resamples all channels in the data matrix
%
% Use as
% dat = ft_preproc_resample(dat, Fold, Fnew, method)
% where
% dat = matrix with the input data (Nchans X Nsamples)
% Fold = scalar, original sampling frequency in... |
56dbba7285c900fed571ff6e09cc375c0ebc351d9218dff599585cb5f99e0045 | MATLAB | 2,654 | 69 | % 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... |
6420f2be0f86fec48d13f393c6135a9382a056bbe04188e951eb1c7dae3a2039 | MATLAB | 2,654 | 108 | function ok = makelcmraw(DATA,outdir,outname)
% MAKELCMRAW - Write data in LCModel RAW file format
%
%
% Synopsis:
%
% Description:
%
% Examples:
%
% See also:
%
% Copyright (C) 2006 Juha-Pekka Niskanen <Juha-Pekka.Niskanen@uku.fi>
%
% Department of Physics, Department of Neurobiology
% University of Kuopio, FINL... |
a7368806b4177099e957ea665123ef2a0fba778cea1600ebe176b6ddeede4d8c | MATLAB | 2,654 | 59 | function [v,w] = FindAllowedDeg(normals,device,targetpos)
%UNTITLED2 法線ベクトルを受け、移動可能な角度ｖ、ｗを二分探索する
[v,w] = Grad2VW(normals);
if device.qVMO({'x','y','z','u','v','w'},[targetpos,0,v,w]) == true && ...
device.qVMO({'x','y','z','u','v','w'},EstimateINJCordinate([targetpos,0,v,w],[2,0,0])) == true && ...
... |
b802b7d314ffe40a9c554e3ae3b256a712a9719b10727e83a72af4de796eadad | MATLAB | 2,654 | 69 | % 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... |
271a2bd4127690bb2bd1ddd277a6f226e9f1296756c30d3d6cdcd70654ccd003 | MATLAB | 2,656 | 103 | %%
clear all
close all
%% Create mean vectors (Symbols)
M = 7; % #symbols
N = 100; % dimension
S = randn(N,M);
alp = ('A':'Z')';
voc = alp(1:M);
SAVE_FIGURES = false;
%normalize vectors
for k=1:M
S(:,k) = S(:,k)/norm(S(:,k));
end
%% Orthogonalizing
[ST,~] = mgson(S);
%% Adding different num. of trials on single... |
4c36790e6ee6a6de1bf0518b3311e3fde7f6dc925b7d29f89aa9133430e4df85 | MATLAB | 2,656 | 80 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
% This code makes Figure S13A (cellreg scores)
close all
clear all
clc
% Paths
run('../load_figure_config.m')
INPUT_FOLDER = CHENGS_TASK_2C_FIGURES_CONFIG.DATA_FOLDER; %'../figure_S13B/local_output';
OUTPUT_FOLDER = CHENGS_TASK_2C_... |
8826ba8481e1ddf24c867631b34169a0095f7297a3ded90de4e604dc850c1cd8 | MATLAB | 2,657 | 53 | function f = surfaceculfcn(x,target,BregmasOnPano)
%SURFACECULFCN _xÌÀWðó¯æÁÄpxðÅK»·é±ÆÉæè^¦çê½_ÆFigureãÅ\ª³êé_Ì£ðŬ»·éB
% h = x(1) : ñ]²ÌDP²Ì³
% theta = x(2) : X²üèÌpx@idegj
% u = x(3) : Y²üèÌpx (deg)
% standardp : Random sampling É... |
fa93545be988d49ab4d29d37257072301b4ddbf2126f129234ceaf4867e96a29 | MATLAB | 2,659 | 71 | % % author: SK
% % date: 28/03/2024
% % reference :"Neural effects of dopaminergic compounds revealed by multi-site electrophysiology in mice and interpretable machine-learning"
clear all; close all; clc;
%%Specify the path of chronux toolbox
addpath(genpath('-----EEG_AnalysisMatlabToolBox\chronux_2_12')) %... |
66f922df061492ee0735d01c063c95997fffd6eabad439bc2b536a7b6bf355d6 | MATLAB | 2,660 | 69 | % 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... |
6d8764eb16cb49e27281adb6680cbd60edab5edd384d3f74be2bdfd087253f48 | MATLAB | 2,660 | 69 | % 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... |
453d625fe76e9da5bfeb39b65fde7f2536d2c05eda675b0e95ced718b44125aa | MATLAB | 2,661 | 59 | classdef RepetitionsTable < types.hdmf_common.DynamicTable & types.untyped.GroupClass
% REPETITIONSTABLE A table for grouping different sequential intracellular recordings together. With each SequentialRecording typically representing a particular type of stimulus, the RepetitionsTable table is typically used to group ... |
908c2b77e602d89f64dacd8425a78c498819bc4e8b3c9a1def9fc2fd4aedf33f | MATLAB | 2,661 | 105 | function P = vl_click(N,varargin) ;
% VL_CLICK Click a point
% P=VL_CLICK() let the user click a point in the current figure and
% returns its coordinates in P. P is a two dimensiona vectors where
% P(1) is the point X-coordinate and P(2) the point Y-coordinate. The
% user can abort the operation by pressing any k... |
505bf87bc3651346f92b1e44fd17c5013c4c38eb8c9e3beadcc96bd6e7ab10d7 | MATLAB | 2,663 | 61 | %% mff_valid.m
% Matlab File
% author Colin Davey
% date 12/3/2013
% Copyright 2013 EGI. All rights reserved.
% Support routine for MFF Matlab code. Not intended to be called directly.
%
% Tests whether a file is valid, and throws an exception if not. Gives an
% informational warning if filename doesn't end in '... |
07b75cc6b8a305cb32979ba8d892ba57504399dc44b96096e6313b422db4d749 | MATLAB | 2,667 | 114 | function [modes,orders] = makeOrthonormalModes(inputs,maxOrder,plotvalidation)
% takes in a (S by N) matrix of inputs (# sources/inputs and # datapoints),
% and produces a ((maxOrder+1)^S by N) matrix of output modes that are
% orthonormal to each other. Also lists the orders of each input in orders,
% which is a (... |
2b104480bebe18227917d70735963256efe1d3a43b278ab21adf49770fc68fde | MATLAB | 2,669 | 62 | function [data_reframed]=reframe(data, chan, reframe, rot_tra)
% REFRAME
% This function uses the translation vector, rotation angle and door
% correction of ROTATION_TRANSLATION to reframe the input data into the new coordinate system
%
% Use as
% [data_reframed] = reframe(data, chan, rot_tra);
%
% INPUT:
% da... |
f56b66cbff92383a08f181d2bb71a945627bb4f8b976434946558bbc9c9ccffc | MATLAB | 2,669 | 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_voc()... |
4761ee8cc8687132c9900673c46a4a8f447e9a8ffedb3336a4d7933b0b16a626 | MATLAB | 2,670 | 77 | %% corr the duration and EDSS with altered edge, controling the cov in the edge
%% para
load('Edge_compare_tidy_DBM.mat')
load('group_data_DBM.mat')
MS_cov = data.cov{2};
MS_cov(:,1) = tiedrank(MS_cov(:,1));
MS_cov(:,2) = tiedrank(MS_cov(:,2));
NMO_cov = data.cov{3};
NMO_cov(:,1) = tiedrank(NMO_cov(:,1));
NMO_cov(:,2)... |
0bf850df29f9683e9914f645f8150b69f17e26e49d8bad08be4eb8900260b5da | MATLAB | 2,671 | 44 | % The script "demo_UFARSA_simData.m" simulates a Poisson spike train and the corresponding fluorescence trace (i.e.
% time-course). Simply run this script and see UFARSA's spiking activity reconstruction results for this trace. You can
% change the simulation parameters below in block 1. To apply UFARSA to your r... |
c311807dd092e237432d15841915758a1c60b3355adaaa163848dc18ccfa6dc7 | MATLAB | 2,671 | 71 | % VL_HOMKERMAP Homogeneous kernel map
% V = VL_HOMKERMAP(X, N) computes a 2*N+1 dimensional approximated
% kernel map for the Chi2 kernel. X is an array of data points. Each
% point is expanded into a vector of dimension 2*N+1 and saved to
% the output V. The expanded feature vectors are stacked along the
% f... |
ea0c99acea35ea4a037d9cd706154ac7e38ecd361147162092f579ea9a18f131 | MATLAB | 2,671 | 71 | %% read_mff_header.m
% Matlab File
% author Colin Davey
% date 3/2/2012, 4/15/2014
% Copyright 2012, 2014 EGI. All rights reserved.
%
% Takes the path to the data and returns the header in the structure
% described at http://fieldtrip.fcdonders.nl/reference/ft_read_header.
%
% filePath ? The path to the .mff fi... |
50d129c7a84d4ed559d8f0d70896bdba3ba345e7062b60e68b0ace7db6f8e019 | MATLAB | 2,673 | 80 | % decodeTelegraphedOutput.m
%
% Function that decodes gain, frequency, and mode telegraphed from Axopatch
% 200B amplifier
%
% Adapted from Yvette's function of the same name
%
% INPUT:
% telOut - raw output telegraphed from amplifier
% chType - which channel type we're decoding ('gain', 'freq', 'mode')
%
% OUTPUT... |
5d636b040b2d2479baa5169febf0c93dfa8e6fa807be5c9b7679533a7e61e076 | MATLAB | 2,674 | 106 | % plotSpikesPhaseDelays.m
%
% Function to plot amplitude of modulation of spike timing by phase, across
% temporal offsets
% Fits 1 period sine curve to values for each delay, plots amplitude (2*a)
% equation: a*sin(x+c) + d
% Data from getSpikesStepPhase_cell()
%
% INPUTS:
% datDir - directory with output files
%... |
ea5caf8e834d4c03ba96a200662d9ba6a321ed63b3ea53bc3b338573573e06f2 | MATLAB | 2,677 | 88 | % mglTestRefresh.m
%
% $Id:$
% usage: mglTestRefresh()
% by: justin gardner
% date: 10/06/11
% purpose: Tests the refresh rate of the monitor. Note that with some video cards, notably
% ATI Radeon HD 5xxx series, flushing the screen does not seem to wait for the vertical
% ... |
df114ffbd99ed61f1851e689df6dd34c38cd1e0266a22ee8e435c2a20c4cbd3c | MATLAB | 2,680 | 85 | function S=fixedResSamples(A,n,varargin)
% fixedResSamples Compute ensemble using fixed resolution.
%
% Syntax
%__________________________________________________________________________
%
% S=fixedResSamples(A,n)
%
% S=exponentialSamples(__,Name,Value)
%
%
% Description
%___________________________________________... |
d016cca521c84cb581bd21870810252de9fbd5a454c7331fc20fa7da830a306f | MATLAB | 2,681 | 83 | function mglEyelinkSetup(displayNumber, targetParams)
% MGLEYELINKSETUP Enters the Eyelink setup mode.
%
% Syntax:
% mglEyelinkSetup
% mglEyelinkSetup(displayNumber)
% mglEyelinkSetup(displayNumber, targetParams)
%
% Description:
% Switch into the EyeLink setup mode (for camera setup, calibration,
% validation, etc.... |
f5fb74fc43a794fcad1152dcb531d5a16551735bd171c9e770c02f26c4854501 | MATLAB | 2,681 | 82 | function gradual_adaptation(fig4)
%% gradual_adaptation plots
% 1. The ratio between the predicted FR from the tuning curve for each touch number and the actual response to those touches.
% 2. the intercept of the tuning curves from the tuning curves for each
% touch number
figure(fig4)
av_unit=0;
ff=dir('*.mat*');... |
2ee0aba964ec4acab720514dc04b41e6c5744da7161ba65e505c568b3c8a9368 | MATLAB | 2,682 | 112 | function [isUpdateAvailable,HeadRev,WorkingCopyRev,error_msg]=aedes_check_updates()
% AEDES_CHECK_UPDATES - Check if Aedes updates are available
%
% Synopsis:
% [isUpdateAvailable,HeadRev,WorkingCopyRev] = aedes_check_updates()
%
% Description:
% Checks if there are updates available for Aedes. The
% "isUpdateAvailab... |
4f3b5b8217cf1586663913b743993d14c0a3fcfd05124da1bf3e3e8f930de2eb | MATLAB | 2,682 | 29 | % Sets Values to Defaults specified in Eventer
% Basic
app.TimeConstantsEditField1.Value = 0.5; % Time Constants: tau1 (rise)
app.TimeConstantsEditField2.Value = 5; % Time Constants: tau2 (decay)
% Detection
app.ConfigurationDropDown.Value = 'VC'; % Configuration ... |
6ea29d7798de216cbba7f281caefde2e24b79bc67217040122d0067c7c955430 | MATLAB | 2,682 | 94 | % VL_DEMO_FRAME Demonstrates vl_plotframe and vl_frame2oell
%% A standard frame is a unit circle centered at the origin with a
% radius pointing in the positive Y direction. Since images use a
% left-handed coordinate system (X axis pointing right, Y axis
% pointing downwards), the radius will point downwards.
A = e... |
8c688548fa50e2857b3c2bac7d631ec59946d02e77b6dc5bcb58202721935d64 | MATLAB | 2,682 | 70 | % [relSpikesC, relSpikesF] = plot_resp_byID(id, ...
% img_or_pos, spiketable)
%
% plots simple raster plot of preferred stimulus only
%
% Mackay et al. 2024 (DOI:10.1038/s41467-024-52295-5)
% License: MIT License (see LICENSE file for details)
% ----------------------------------------------------------------------... |
12e063e352f95234227dd7a96107a8f38b7759299872aee4f637122911dc9509 | MATLAB | 2,683 | 48 | % Get header of the system information
% [ Yokogawa MEG Reader toolbox for MATLAB ]
%
% brief:
% This function retrieves information about data acquisition condition in the specified file.
%
% usage:
% acq_cond = getYkgwHdrAcqCond(filepath)
%
% arguments:
% filepath : file path
%
% return v... |
83586d2f0eba25dd482cd73c85b4b0daa958585bb5fbb24d5668521217a3fd61 | MATLAB | 2,683 | 61 | 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... |
e20daaa965e5b9ece5fa953cde35d4f83cb3315863208c5d93e04f4a9f61355a | MATLAB | 2,685 | 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_sunrg... |
f007ebe4207e6d922ebce0203899709b21378bbb47593a0588e7bc3a88f7eee2 | MATLAB | 2,687 | 80 | %% load IC to test for causality
load('GC.mat')
%% Parameters
ntrials = 1; % number of trials
nobs = 706; % number of observations per trial
regmode = 'LWR'; % VAR model estimation regression mode ('OLS', 'LWR' or empty for default)
icregmode = 'LWR'; % information criteria regression mode ('OLS', 'L... |
53c725623f10d8971c6569d61353cdaa70b358ffdbcd843a47c808dc858f96a3 | MATLAB | 2,688 | 67 | function status = fillSurveyParameters( obj, data )
% Extract and visualize LFPs from Survey test mode
%
% Syntax:
% [ status ] = FILLSURVEYPARAMETERS( obj, data )
%
% Input parameters:
% * obj - parsing object
% * data - data from json file
%
% Output parameters:
% * status
%
% Example:
% status = F... |
9166eb7b1fe12d44d1b2b702e43da7a6e223753eb9fc82d4996966abe4d1a864 | MATLAB | 2,689 | 74 |
% plotPreAnal, plot pre analysis data
globals;
Nrows1=2; Ncols1=4; xfac=0.9; yfac=0.9;
mysubplot_rel(Nrows1,Ncols1,1,1,xfac,yfac);
[hh,hx]=hist(GVar1,20); plot(hx,hh);
hold on; plot(hx,cumsum(hh));
plotVertLines(xBins,cumsum(hh),'--');
xlim([min(hx) max(hx)]);
title(sprintf('%s',Sesname));
xlabel(sprintf... |
2ca95683ae282ae3164fdfb868b95166499732cf03e188b785fe29a7296ee551 | MATLAB | 2,691 | 71 | function fH = plotDiffPRFModelCVR2_bargraph(mnDiffR2Subj,roisToPlot,saveFigs, saveFigDir)
% Set up figure params
cmapModels = getColormapPRFModels(0); % Model colors
barWidth = 0.75;
xposBar = [1:length(roisToPlot)];
xposError = [-0.215,0,0.215]; % X position for errorbars
modelDiffNames = {'CSS-LSS','CST-LSS','... |
bc346d1763ccea447ffa2c6bec092f77835d9239bb6809b1e4f362814bc184fc | MATLAB | 2,692 | 90 | function tifwrite(imData,imFilename,imHeader,dataType)
% writes a tif file with data, filename, header, and type
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Input parsing
if nargin<4
dataType = class(imData);
else
imData = eval([dataType '(imData)']);
end
%%%%%%%%%%%%%%%%%%%%%%... |
c2277eadaab4875955673624ad2a22bdc9171b439351a9d275397a0fffeb224c | MATLAB | 2,692 | 81 | %% SETUP
clear;clc;%close all
try
[dataTable] = readtable('G:\My Drive\Expmt Data\Max\Climbing Fiber Project\ExperimentMetadata_C.xlsx');
expmtDataFolder = 'G:\My Drive\Expmt Data\Max\Climbing Fiber Project\Jennifer Data\Jennifer Data Reorganized';
catch
[dataTable] = readtable('D:\My Drive\Expmt Data\Max\C... |
e6ea1d84d161950dbc35ce94a6803120d13b68ccf61645f712874c9026e0ac68 | MATLAB | 2,692 | 79 | function [P, E] = bemf4_surface_field_electric_subdiv(c, P, t, Area, mode, modeArg)
%% Input parsing
if(nargin < 4)
error('Not enough input arguments');
end
%Assign default mode
if(nargin < 5)
mode = 'gauss';
end
%Assign default subdivision parameter
if(nargin < 6)
... |
884d235730312556e4fe5ae08f9e1b0dab5d63babf6d5236f8771745cc8e7e73 | MATLAB | 2,696 | 86 | function [stimulus, response, segment, timezero] = read_brainvision_vmrk(filename);
% READ_BRAINVISION_VMRK reads the markers and latencies
% it returns the stimulus/response code and latency in ms.
%
% Use as
% [stim, resp, segment, timezero] = read_brainvision_vmrk(filename)
%
% This function needs to read the he... |
bbb51061b583f048e5c221ed2661c28a60144c9fc710417e70f9a183ca498261 | MATLAB | 2,698 | 71 | function [xy, conf] = coordinate(color)
%UNTITLED4 Summary of this function goes here
% Detailed explanation goes here
if length(color) == 87
answer = questdlg('Choose the used layout', ...
'Layout', '60MEA','4QMEA','4QMEA');
% Handle response
switch answer
case '60MEA'
... |
9d18221f434dc7ac2990efa8ca4af96a336c8ad0377962d56eae896152d51cbd | MATLAB | 2,700 | 118 |
% 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_citys... |
35cc8cb08874bf42b600a89d543531c79aeefe964817e661ab0b9a06048c0441 | MATLAB | 2,701 | 105 | % plotOptoIInjRawEphysTraces.m
%
% Simple script for plotting ephys scaled voltage traces during optogenetic
% stimulation or current injection
% One row for voltage, one row for stimulation
% Option to downsample from acquisition rate for reduced size vectors
%
% For supplementary figure of 2024 DNa02/DNg13 paper
%... |
65cd08269ce7878c579713602347d66aea1b01959767e8d8421f9fb51c3f24ff | MATLAB | 2,701 | 89 | function [x, f] = beadsFast_UFARSA(y, fc, lam0)
%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% This code provides a fast version of the BEADS method, by adapting its original
% MATLAB implementation written by Laurent Duval (doi: 10.1016/j.chemolab.2014.09.014):
% https://de.mathwo... |
d7a7e017a84da6cc886b8c6e87c3158bc6d8e0106657cb8860015db3592046a0 | MATLAB | 2,701 | 84 | function gui_cg()
%
% This function is needed by FASTICAG
% This file just removes the global variables
% that are used in FASTICAG from the memory
% @(#)$Id: gui_cg.m 8776 2013-11-14 09:04:48Z roboos $
clear global c_FastICA_appr_strD;
clear global c_FastICA_appr_strV;
clear global c_FastICA_dMod_strD;
clear global... |
664a68d93884b0224e0f5b0782147bbdc976771cb823bb47e490e2db5a7b3e8f | MATLAB | 2,703 | 63 | % mglMetalGetWindowFrameInDisplay.m
%
% usage: [displayNumber, rect, results] = mglMetalGetWindowFrameInDisplay(socketInfo)
% by: Benjamin Heasly
% date: 03/11/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Returns current mgl displayNumber and window fr... |
78a2f544709ea70a5447a16eebacccd584e8e4e87ec24b5eba83bb70e865d4db | MATLAB | 2,703 | 81 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [C] = get_cellreg_table(cellRegFolder)
% We need to load the cellreg results, and map them back into sessions
% tables
[cellToIndexMap, cellScores] = load_cellreg_results(cellRegFolder);
files = dir(fullfile... |
d26bf9c0c62db7305e1b9cf1406404f3eb75a0d4938ea5ab5a641ea1a13355fe | MATLAB | 2,704 | 76 |
%% Plot probes
disp(fullfile(SaveDir,MiceOpt{midx},thisdate,thisprobe,[num2str(SN) '_HistoEphysAlignment.mat']))
Depth2AreaPer = load(fullfile(SaveDir,MiceOpt{midx},thisdate,thisprobe,[num2str(SN) '_HistoEphysAlignment.mat']));
Depth2AreaPer=Depth2AreaPer.Depth2Area;
probePoints = cell2mat(Depth2AreaPer.Coordinates).... |
91e2de44b3efdc902c3d6b922754bb68296f7f68f1349123d65926bb282219bc | MATLAB | 2,707 | 77 |
ListAnimals = 'IMPORTED_EXPERIMENTAL_LIST.XLS';
proc_dir = 'PATH_TO_PROCESSED_DATA_FOLDER'; %%%%This is the directory where your pre-processed data is saved
number_probes = 1;
for anim = 1:size(ListAnimals,1)
exps=[];no_exps=[];
exps = eval(ListAnimals{anim,5});
procExpNames... |
c106a257bc6f7e9c39729efe530e175c059ddff67b2b28120f4abdaf03cb3ff3 | MATLAB | 2,707 | 94 | function [r_alpha,t_alpha,p_alpha,v,vv,vvv] = MC_corrpval(n,p,method,alphav,pairs,D)
% function to compute the alpha quantile estimate of the distribution of
% minimal p-values under the null of correlations in a n*p matrix with null
% covariance but variance D (I by default)
%
% FORMAT p_alpha = MC_corrpval(n,p,metho... |
7dcfb5370ba5f27ff02e4a8739aa002f0a3eca4028ea6e611bbfddc021650589 | MATLAB | 2,708 | 68 | % mglMetalRepeatingQuads.m
%
% $Id$
% usage: [ackTime, drawTimes, frameTimes] = mglMetalRepeatingQuads(nFrames, nQuads, 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 mul... |
bf491e66f29ba78b3c2265b302ec9abd40378bc872318317af81a836fdb4cce8 | MATLAB | 2,708 | 101 | function save_roi_as_mask(DATA,ROI,AddInfo)
% Aedes plugin for saving ROI masks
% This function is a part of Aedes - A graphical tool for analyzing
% medical images
%
% Copyright (C) 2006 Juha-Pekka Niskanen <Juha-Pekka.Niskanen@uku.fi>
%
% Department of Physics, Department of Neurobiology
% University of Kuopio, FI... |
edceec47cf4e1dec04a1968939b4d596d31d4ea538565a00d68ca9e8b15f653c | MATLAB | 2,708 | 96 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
% Requires the MapsData table
MapsData = analysisInput.MapsData;
NORMALIZE_MAPS = true;
digTypesToCompare = {'Corr', 'Geo'};
clc
T = MapsData;
animalSessionCellNames = unique(T.animalSessionCellName);
nCells = length(animalSessionC... |
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