sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
829ddc517d66fa2ddc8469cd3d39772a17d014a5850b8a0de4abd6fd362ece81 | MATLAB | 1,049 | 40 | function [ UniqueFaces ] = UniqueFaces( Faces )
%UniqueFaces Return only one instance of each face in the input
if(isempty(Faces))
UniqueFaces = [];
return;
end
temp = sort(Faces,2);
[~,ix] = sort(temp(:,1),1);
tempSorted = temp(ix,:);
[numFaces, dim] = size(tempSorte... |
f57a01f7534778e0b7595965aecf3809d4328bc717d1dba5cdcb0c22f2d6af56 | MATLAB | 1,049 | 34 | function wave = addAmplitudeProfiles(wave, Aspace, Atime)
% ADDAMPLITUDEPROFILES adds separate spatial and temporal amplitude
% profiles to a wave pattern
% INPUTS:
% - wave: X x Y x T matrix of a real or complex wave pattern
% - Aspace: scalar or X x Y matrix giving spatial amplitude profile
% - Atime: scalar or... |
0f9ad7a02e8f95812e39c494ec26241fe4481f99c2803e0f37f2e995c39d5b17 | MATLAB | 1,050 | 45 | function I = cellfind(C,pattern)
% I = cellfind(cellArray,[pattern])
%
% Returns index vector I of cells containing a
% desired pattern. Pattern can be anything that
% would be in a cell: a num, string, struct, another
% cell, etc. If pattern is omitted, I returns the
% indices of non-empty cells.
%
% Note the algorit... |
288a2116f9848128c92b17a7fbecc149ed00d94c6a168a3de1df7a59d083a390 | MATLAB | 1,051 | 37 | %%
clear all
close all
run(['..' filesep 'def_local'])
addpath(path_fieldtrip)
ft_defaults
%%
allfiles = {'405','406','407','408','409','410','411','412','413','414',...
'415','416','417','418','419','420','421','422','423'};
for n=1:length(allfiles)
%%% load training data
File_Name = allfiles{n};
l... |
1c75e8d6e147f63099c7ab2c120aca94e3541bbe68ada5bdc5cd5b30b4306a93 | MATLAB | 1,053 | 34 | % PURPOSE: hides the axes interaction toolbar on the given axes.
%
% FORMAT:
%
% erplab_hideaxestoolbar(ax)
%
% INPUT
%
% ax - axes handle, or array of axes handles
%
%
% From R2025a a collapsed axes toolbar is drawn as a persistent "..." button on
% top of the plot, where earlier releases showed it only while h... |
a63042cdf6c639f1df861ef561c9d05f9e46bc29c432295ef8d3c988b9c19e3c | MATLAB | 1,053 | 35 | function [COctrl, COcool, SPctrl, SPcool, SOctrl, SOcool] = import_data(dataDir, file_name)
% Open the data
T = load(fullfile(dataDir, file_name)); fprintf('%s\n', file_name)
B = T.behavior;
% Remove correction trials
B(B.CorrectionTrial==1,:) = [];
% Filter Data by noise type and mask
CO = filterData(B,[0 1]); ... |
148694a15035874b9fb5f0058116c238108401b3ed539631e881794b1e894eb5 | MATLAB | 1,058 | 40 |
function collate_wav_stim_data()
close all;
set(0, 'DefaultTextInterpreter', 'none')
set(0,'DefaultAxesFontSize',12)
% Import wav files
searchpath = 'D:\stim\Barascud_wav_files\';
searchhname = fullfile(searchpath,'*resampled.wav');
soundfiles = dir(searchhname);
soundfiles = {soundfiles.name};
% rng('shuffle')
... |
1e4f486e4dcd85d3be73abc3b39e5045143429eb6c0f4597d296b4068354e8d9 | MATLAB | 1,058 | 39 |
clipTable = project.ClipTable;
revClipT = ReviewClipTable(clipTable);
labels = revClipT.GetBehaviors()
%%
clipT = revClipT.GetClipTable()
clipT = revClipT.GetClipTable('complete')
clipT = revClipT.GetClipTable('incomplete')
%%
revClipT = revClipT.SetCurrentClip(1)
currClipT = revClipT.GetCurrentClipTable()
currA... |
ea211a29213c3d95724eb5e8715c167cfb14ae1acf0c03c2541ce9d008b522d6 | MATLAB | 1,058 | 32 | %% Function to apply skin segmentation
% Input: Image in RGB
% Returns: Thresholded image
function [finalimg] = huelayer1(img)
% Converting it into HSV after Denoising
img1 = imgaussfilt(img,3);
imghsv = rgb2hsv(img1); imglab = rgb2lab(img1);
h = imghsv(:,:,1); s = imghsv(:,:,2); v = imghsv(:,:,3);
r = doub... |
1c37595733f43e48bfdfb3eb49ee4a538c89c705050c7aa1f1e6b5eaa8ab478e | MATLAB | 1,061 | 43 | addpath('../dependencies/gptoolbox/matrix');
addpath('../dependencies/gptoolbox/mesh');
addpath('../dependencies/gptoolbox/quat');
addpath('../dependencies/vtkToolbox/MATLAB');
addpath('../functions');
%%
alphaEndo = 60;
alphaEpi = -60;
betaEndo = 0;
betaEpi = 0;
if ~exist('result', 'dir')
mkdir('result');
en... |
950f87c8f0bbb010c8f9b1891d954c51f584b0070b22b95c551f9cfba6d0a150 | MATLAB | 1,063 | 16 | % REMOVE BAD CHANNELS - Execute %
function [bad_channels_to_be_removed, all_amp_data_bad_chnls_removed, all_grad_data_bad_chnls_removed] = ...
bst_ast_remove_bad_channels_execute(all_amp_data, all_grad_data, channel_amp_data_CombinedCutoff_logical, low_sig_range_all_channels_val_logical, channel_grad_data_CombinedC... |
b0ba67894f6f2ed79e5c203d6fddae2568df98e74ca69ff5025d0a707afaa3f5 | MATLAB | 1,063 | 26 | %this is a program that generates trial averages and forms clusters based
%on that. Data in TimeAnalysis/XXCBDLXXDLXX. Created by Haleh Fotowat.
close all
clearvars
path=uigetdir;
cd(path)
stim_type_cnt=4;
% Length_trial_type=(size(F_dff_pool_all,2)/stim_type_cnt);
filenames=dir('*ha_allcells.mat');
%read the non-sm... |
5fbd7e8b47eceb262627a06ea98b95edca3e7af618fcd65457ed2d13b1a97230 | MATLAB | 1,065 | 40 | %%
function [PreFtem, RecallFtem, SpecifTem, Dice, FmeasureF] = Fmeasure_calu(sMap,gtMap,gtsize, threshold)
%threshold = 2* mean(sMap(:)) ;
if ( threshold > 1 )
threshold = 1;
end
Label3 = zeros( gtsize );
Label3( sMap>=threshold ) = 1;
NumRec = length( find( Label3==1 ) ); %FP+TP
NumNoRec = length(find(Label3==... |
ec2a98d59a69ff87bc75e9d72dae010ddeb134b19bf3690ecd873bbca0116157 | MATLAB | 1,065 | 42 | function alpha = normalizeAngle(alpha, varargin)
%NORMALIZEANGLE Normalize an angle value within a 2*PI interval
%
% ALPHA2 = normalizeAngle(ALPHA);
% ALPHA2 is the same as ALPHA modulo 2*PI and is positive.
%
% ALPHA2 = normalizeAngle(ALPHA, CENTER);
% Specifies the center of the angle interval.
% If CENTER... |
8a481a28ba6174a0c3131091b99a9a5fcf5c1d999e75e126d4186d03e306ee23 | MATLAB | 1,066 | 42 |
function plotColor3(xValues, yValues, zValues, colorIDs, colorMap, lineWidth, alpha)
IDs = unique(colorIDs);
if ~exist('colorMap', 'var') || isempty(colorMap)
colorMap = parula(length(IDs));
end
if ~exist('lineWidth', 'var') || isempty(lineWidth)
lineWidth = 3;
end
if ~exist('alpha', 'var') || isempty(alph... |
7f30c09d759337ae968cee6dfc59718c4c587ccc58814c2a269e0d7d0928dfcc | MATLAB | 1,067 | 33 | function X = imcropmiddle(X,sizeout,preference)
% function X = imcropmiddle(X,sizeout,preference) crops the middle portion of a given size
% X image matrix
% sizeout size of the output image
if nargin<3, preference='SE'; end
if length(sizeout)>2, sizeout = sizeout(1:2); end
[M,N,three]=size(X);
siz... |
1fcabe3fac419c83404b170bc9298f139c84b497f64153ae800e9a90eacb880d | MATLAB | 1,071 | 34 | function [optMask,optMaskVect] = ridge_optimisation_mask(gmMask,funcMask,thr)
% Choose pseudorandomly a fractions of voxels included in both grey matter and functional
% masks
%
% INPUTS
% gmMask = Population level grey matter mask
% funcMask = Population level EPI mask
% thr ... |
f8bea139f4b237cb88e929a7f55a3ebeef6bc3cc2f749fafe8a9406d98e571ba | MATLAB | 1,071 | 36 | function data_epoch = ieeg_baselinesubtract(data_epoch,samples_base,varargin)
%
% function data_epoch = ieeg_baselinesubtract(data_epoch,samples_base,baseline_function)
% subtracts the mean signal during samples_base from each epoch
%
% input
% data_epoch: data with electrodes X epoch X t
% samples_base: samples fo... |
6e8a1557e85ce44f42f9bbf38a897fbb6676c309f98c7146d314ce93f6519a93 | MATLAB | 1,073 | 25 | %this is a program to take the plane number corresponding to the
%experimental plane and scale factor for all the fish in the pool and also the final pool
%cluster data and generate CSV files to be transformed into zbrain coordinates choose folder with relevant pool data
%Created by Haleh Fotowat
clearvars
close all
pa... |
82f175b98cbcc5084e16055197ccf6d45548077ce1f44e8ca83fab9cab4f481c | MATLAB | 1,073 | 40 | %% Prepare Psychtoolbox
Screen('Preference', 'SkipSyncTests', 0);
PsychImaging('PrepareConfiguration');
PsychImaging('AddTask', 'General', 'FloatingPoint32Bit');
PsychImaging('AddTask', 'FinalFormatting', 'DisplayColorCorrection', 'ClampOnly');
PsychImaging('AddTask', 'General', 'EnableBits++Mono++Output');
ScreenNu... |
c1c0d3799806092fcf7232188b944f567615e98fb6bfd63d50237cbafb4df790 | MATLAB | 1,082 | 27 | function [clu] = epochSpikeTimes_v2(clu, epocType)
% EPOCHSPIKETIMES Epoching of spike times into trials (=epochs) based on events from tr struct
% Change to original version: take tr from clu.trCell per unit
% Inputs:
% clu.spikeTimes: {1×n cell} % spike times in the session for each cluster
% ... |
2a34413a09a652a4868fa9bc3500b6b866c843bd9e82a9eb3da09c3e69e1262d | MATLAB | 1,083 | 36 | %uigetdir2: Select multiple directories
%
%USAGE: filedirs = uigetdir2
%
%OUTPUT: Cell array of directory paths
%
%Author: Tiago (2020)
%Source: https://www.mathworks.com/matlabcentral/fileexchange/32555-uigetfile_n_dir-select-multiple-files-and-directories
% MATLAB Central File Exchange
function [pathname] = ... |
b8770c4a34f7d7cb0a71cfc42457d4f038eb3be8ac79d4446a122a60586b683e | MATLAB | 1,083 | 30 | function create_events(bidsdir, sub, ses, task, run)
% below needed for HPC cluster
% create a local cluster object
%cluster = parcluster('local')
% start matlabpool with maximum workers set in slurm submission file
%parpool(cluster, str2num(getenv('SLURM_CPUS_ON_NODE')))
% add the path of the folder that... |
f42862c71e2d099bbb1a5199a3bf40aa81c0e9f99bb62c062ddfc84fce84a5e2 | MATLAB | 1,083 | 36 | function [surprise, distUpdate, conf_p1, unpred, p1_mean, pred_error, N_used, p1_sd] = ...
get_IO_outcomes(in, s)
% Return key outputs inferred by the Bayesian IO with parameters specified
% in in.
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% ===== * ===== Optimal infer... |
d3400099fd8bd736f2ee54ce483b009e92e7c59ebd0ac8da96442b757e2cf6e5 | MATLAB | 1,084 | 38 | clc; clear; close all
Fig3a=figure();
Ntrials_1=2000;
%Ntrials_1: number of learning cycles to learn the background.
%There is no embedded pattern in afferents for 2000 learning cycles. (step 1)
N_mu=500; %There are 500 independent simulations (number of simulations)
xax = 1:1:Ntrials_1;
%%%%%%%%%%%%%%%%%%%... |
216792697b095db668a4d08581b0689e9001a5e9d3d932377e7849dfff910ef2 | MATLAB | 1,090 | 38 | function [RgMeans,nRg] = lme_mass_RgMean(Rgs,Data)
% [RgMeans,nRg] = lme_mass_RgMean(Rgs,Data)
%
% Mean of the data for each region.
%
% Input
% Rgs: 1 x nv segmentation vector containing a region number assigned
% to each vertice along the surface.
% Data: Any data (eg. a matrix whose colums are estimators of the co... |
86ecd69142f02c54b1aae9a88a752b5b65cb3ac462290d5b90aea4157da47793 | MATLAB | 1,090 | 38 | function make_config()
if isfile('config.mat')
load('config.mat', 'nrnBin', 'deltaQnC', 'qMaxnC', 'nbNod', 'stimStart', 'stimDur');
else
nrnBin = fullfile(getenv('NEURONHOME'), 'bin');
if ~isfolder(nrnBin)
nrnBin = 'C:\nrn\bin';
end
deltaQnC = 0.01;
qMaxnC = 120;
nbNod = 21;
sti... |
073eb4e335dbeeab2eeb566d5e6087b69e67d6bf28aba17ec42458ea058a6f53 | MATLAB | 1,093 | 40 | % Intraparietal stimulation disrupts negative distractor effects in human multi-alternative decision-making
% Kohl, C., Wong, M.X.M., Wong, J.J., Rushworth, M.F.S. & Chau, B.K.H.
% eLife 2022
% Script to generate Figure 3 - figure supplement 1b
clear all; close all; clc;
% Load estimates generated from gLME ... |
5b535858abe5e8c5cb80437d00dcf1ceb37f9da9ed9b8ad89840b88e69a96d21 | MATLAB | 1,093 | 27 | function usel_out=SelCells(fn,minFR,critCvBW)
% Select cells from PFC and HC data sets & cut out event periods (trial case)
% outputs
% Tmtxs {no. trials} time axes for selected trials
% iFRs {no. brain areas}{no. trials}(timerange,no. neurons) spike FR matrix
% EvtLs (no... |
676a6a1335b617ce8464ffbeec741764c42c649ae7f6f9c789a0e7ea1ac03688 | MATLAB | 1,093 | 37 | function data_epoch = ccep_baselinesubtract(data_epoch,samples_base,varargin)
%
% function data_epoch = ieeg_baselinesubtract(data_epoch,samples_base,baseline_function)
% subtracts the mean signal during samples_base from each epoch
%
% input
% data_epoch: data with electrodes X epoch X t
% samples_base: samples fo... |
7a8f8cf3c4c05272a10cac935d166b4f08c51fc0b73af72e551da06d3080762d | MATLAB | 1,096 | 34 | %% Master-file loop
clearvars; close all; clc
% Select the file to analyze
[pathS] = uigetdir(pwd, 'Select the folder with files to analyze');
CBF.sourceP = fullfile(pathS, filesep);
% Select where to save the results
[pathP] = uigetdir(pwd,'Select where to save the results');
CBF.folderP = fullfile(pathP, filesep);... |
8b76671061fe018e83e5ae15d45584f21b3a5780c261789c4176d5defce1c599 | MATLAB | 1,096 | 29 | function cm_data = my_PiYG( m )
% Copy of PiYG from matplotlib (diverging colormap).
% From
%https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm.py
cm = [...
0.55686274509803924, 0.00392156862745098, 0.32156862745098042;
0.77254901960784317, 0.10588235294117647, 0.49019607843137253;
0.... |
14b97094f20c1dfdf1ce1c001b205406dc2f095fe45d6433ee04ca2f93e19e16 | MATLAB | 1,097 | 63 | function [t,n,b]=frenet(x,y,z)
% FRENET Calculate the Frenet frame for a polygonal space curve
% [t,n,b]=frenet(x,y,z) returns the tangent unit vector, the normal
% and binormal of the space curve x,y,z. The curve may be a row or
% column vector, the frame vectors are each row vectors.
%
% If two points coincide, the... |
21eded70fe9f561f615b64dd39f8536810d017bd1a87bc6553dd9ef8c3dac773 | MATLAB | 1,097 | 42 | function p = getPosition( o, u )
%getPosition Get position of graphics object
%
% p = getPosition(o,u) gets the position of a graphics object o with units
% u.
%
% In contrast to getting the Position property directly, this function
% honors the ActivePositionProperty of axes.
% Copyright 2009-2020 The ... |
0c483faa88195cb2c8bf8502e3595aa43bb49836cbfa7a46ee16caf0642c9561 | MATLAB | 1,098 | 45 | clc; clear; close all
Fig4a=figure();
Ntrials_3=60000;
%Ntrials_3: number of learning cycles to learn the background.
%There is no embedded pattern in afferents.
%(Note initial conditions in this step are from step 2.)
N_mu=500; %There are \mu independent embedded patterns, 500 simulations (number of simul... |
1c708a0faa0343f29951d20107fcc3c83d6c25f3380772504647ca9a3afa190a | MATLAB | 1,098 | 56 | % PURPOSE: resolve the read/write path for ERPLAB's editable completion message
%
% FORMAT:
%
% filename = erplab_msg2end_file(action)
function filename = erplab_msg2end_file(action)
if nargin < 1 || isempty(action)
action = 'read';
end
paths = erplab_user_paths;
action = lower(action);
switch action
case '... |
dd509da63d453a17c57005e15396771fd4e40e7b2d89f2de7d2ec52c46a11331 | MATLAB | 1,099 | 38 | function PreprocessingWrapper
clear all
close all
clc
% Run full processing workflow. Take data from raw (epData) format,
% through automatic spike sorting steps.
%
% Note: user input is required in the middle, to select clean trials.
%%%%%%%%%%%%%%%%%%%%%%%%
%---FLAGS---%
Subject = '255183';
Session = 'GA';
... |
0055a29b23f3dc18fefe1b90b002c2a69340574d5f83161e47b6b4ab7fcd9565 | MATLAB | 1,101 | 44 | function [data] = logistic_regression_data_generator(n, d)
% Data generator for logistic regression problem.
%
% Inputs:
% n number of samples.
% d number of dimensions.
% Output:
% data data set
% data.x_train train data of x.
% data.y_train tr... |
3a0e20e85a4dbb6c997a891fe476131c4935a410d345e019b07e8ee4fea1c3d8 | MATLAB | 1,102 | 43 | % This function is written to check if the string of interest exists in the parent structure
%Author: Guanghui ZHANG--zhang.guanghui@foxmail.com
%Center for Mind and Brain
%University of California, Davis
%Davis, CA
%Feb. 2022
% ERPLAB Studio
function count = f_findstring(Parent_Structure,String_checked)
... |
9ba48bd214dab4cc815cc5788b3d3a4f4539af157e8804ac69d27db9c11d7c2c | MATLAB | 1,104 | 42 | function [ph] = SU_PSTH(spkCell,msSmooth, startBinT, endBinT)
%plotSpikePSTH Function to plot smooth PSTH from spike time data
% Detailed explanation goes here
binWidth = 0.001; % in seconds, bin to milliseconds
edges = [startBinT:binWidth:endBinT];
%
% tmp = cell2mat(spkCell);
% nTr = size(spkCell,1);
% [N,~] = hi... |
23544009e464da05fcbdd964ec58ea65a824397c1b46daee02a140b53ba20725 | MATLAB | 1,105 | 24 | function plottpcellalignment(cellnames1, cellnames2,changes1,changes2,pvimg1,pvimg2,dirname1,dirname2,drift1,drift2,rowsperpage);
if strcmp(computer,'PCWIN'),maxcolors = 256;
else, maxcolors = 1000;
end;
pvimg1 = rescale(pvimg1,[min(min(pvimg1)) max(max(pvimg1))],[0 maxcolors]);
pvimg2 = rescale(pvimg2,[min(min(pvimg... |
05f9288cd11e04f2ab68971e0519494df3a511a389c453909fa220ba7101ac96 | MATLAB | 1,106 | 40 | function design = designMatrix_dummy(cfg0, group)
% [design] = designMatrix_dummy(cfg, G)
% Returns a design matrix using dummy coding for the groups.
%
% G Array of length N, where N is the number of trials, that contains the group each trial
% belongs to, as identified by a unique numbe... |
86101b6836da944174f7d815016060077cf610c693f482c1ce7f5184b3af8718 | MATLAB | 1,107 | 47 | function hist = updateHist_SanesLab(TTLstr,hist,handles)
%hist = updateHist_SanesLab(TTLstr,hist,handles)
%
%Custom function for SanesLab epsych
%
%This function updates the TTL history for plotting purposes
%
%Inputs:
% TTLstr: String identifying the TTL
% hist: vector containing TTL high/low history
% handles... |
dfae68e370ed6cad5e487b5972bbcf540a21b7ba01388ea0e07c700a8f43575e | MATLAB | 1,108 | 32 | function [vSound] = ComputeTimbreStim(formants)
%
% Creates vowel or click train
%
% Includes attenuation and envelope of sounds
global gf
if sum(formants)>0
vowel = newMakeVowel2009( gf.duration/1000,...
gf.fStim, ...
gf.pitch,...
... |
4f54fdd6136eb54e7a30051759151345bab6722c2807e561ed6b5d75efbdfcb1 | MATLAB | 1,109 | 47 | function [y] = filtfast(x,dim,i,ftype,fsize)
%author: V Wyart
%edits: N Myers (added Butterworth filter)
if nargin < 5
error('Missing input arguments!');
end
if dim > ndims(x)
error('Filter dimension exceeds input dimensionality!');
end
if isempty(i)
i = 1:size(x,dim);
end
fungaussian = @(... |
636a2b693e70823bc0b36ca9f0f019126be7e1dea8de4596c1ceacac4a68244c | MATLAB | 1,111 | 33 | function [LabelStrout, LabelColors] = f_MarkLabels_gridlocations_ERP_Waveiwer(Gridata,usedIndex,AllabelArray)
% Builds the plain-text label list and a parallel per-row color (for
% addStyle 'FontColor') shown in ERP_layoutstringGUI's labels table:
% blue = unused in the grid
% red = used more than once in the gr... |
150ffa883fa80b29ed599f6a7e6711f217d00f29110b4dcdf4316eec21b4324b | MATLAB | 1,112 | 30 | function c = censored( tau_c, M, T )
% UltraMegaSort2000 by Hill DN, Mehta SB, & Kleinfeld D - 07/12/2010
%
% censored - returns the expected false negative rate due to censoring
%
% Usage:
% c = censored( tau_c, M, T )
%
% Description:
% Estimates the percent of a cluster that is lost due to censoring. ... |
d87784eb827205d69ba3c10cbb9759e1d657e5f2b57e53ebdfef27a82846434d | MATLAB | 1,112 | 34 | function [mag_eq,phase_eq] = MacDonald_equalize(filename)
% This matlab function will return the inverse of the minimum phase, mpeq,
% and the inverse of the allpass, apeq, of a measured impulse response.
% Filename is the name of the text file that includes the impulse response.
%
% MacDonald & Tran, 2007, Loudspeaker... |
704d05f5b81a5e7edb927090b1210d0202ca7d51e79c4b323b961f386c5fd4ee | MATLAB | 1,113 | 28 | function spiketimes = unwrap_time( t, tr, dur, spacing)
% UltraMegaSort2000 by Hill DN, Mehta SB, & Kleinfeld D - 07/08/2010
%
% unwrap_time - convert from within trial time to absolute time
%
% Usage:
% spiketimes = unwrap_time( t, tr, dur, spacing)%
% Description:
% Takes a list of spike times relati... |
b9f234b97e538b45ee58a4be91311b57b9f6a15adcfdc75035031c4c973d0b7a | MATLAB | 1,115 | 31 | function analyzetpstack_setChanges(ud,fig,i,newchanges)
% ANALYZETPSTACK_SETCHANGES - add a change to a cell's parameters, such as movement, not present, etc
%
% Note: sets userdata of 'fig'
if ~isfield(ud.celldrawinfo,'changes'), ud.celldrawinfo.changes = {}; end;
gotChanges = 0;
if length(ud.celldrawinfo.changes)<i,... |
73727c6a667f5700816a54144cbce3eba235c500a55a1da68adefc38a74959e1 | MATLAB | 1,116 | 41 | clc;clear;close all;
Fig9c = figure();
N_mu=500; %There are \mu independent embedded patterns, 500 simulations (number of simulations)
N_trials=5000; %number of learning cycles
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
f07e4834ff4801da2ad59d49212eb16b7f388254207fa9e64d68f11306bdcfd6 | MATLAB | 1,116 | 36 | function evaluate_clustering
%
% Function to evaluate the clustering results from the 1821 voxel space
%
%
% I would have to recluster to 2-10 to do this
%
PROJECT='/Users/HDF/Dropbox/Fran/Academics/PhD/matlab/projects/COBRA_COMPLEXITY_PHASE_FD/';
HCP_PROJECT=[PROJECT 'RUN2/'];
Cmax=9; % only clustered 2-10 for RUN1
... |
011c19c6626cc5955136178a0ad91c1d158f001b16acda5b86edb251d2e1836a | MATLAB | 1,117 | 29 | %%
PairStrings='AB';
audioTypes={'SWS.wav','_voc_6Bds.wav'};
stimlist_filename=[stim_path filesep 'list_stimuli_102018.csv'];
delimiter = ',';
formatSpec = '%q%q%q%q%q%q%[^\n\r]';
fileID = fopen(stimlist_filename,'r','n','UTF-8');
if ~ismac
StimList = textscan(fileID, formatSpec, 'Delimiter', delimiter, 'ReturnOnEr... |
a21fa3770deb24a2aa4154804a94a7c47f0d0743e17d910fcf9ee8613a293c20 | MATLAB | 1,117 | 29 | function [A_new, A_old, A_J] = prepareNumerics(K, M, dt, second_order, lumping_factor)
% This matrix takes an input stiffness and mass matrix as well as the
% desired timestep (assumed fixed) and creates instead a problem expressed
% as:
%
% A_new * V_new = A_old * V_old - A_J * J
%
% that represents the diffusiv... |
f5dc9a2ec2aefb782ed260c70be646763db3cfb11206f58f2c7a6a4484d6a559 | MATLAB | 1,118 | 46 | function [ W ] = Window( Image, X, Y, Radius )
%WINDOW A helper function which returns an array of pixel values
%surrounding a target coordinate in the passed image.
%Window returns a 1D array of intensity values neighboring the
%passed coordinates. If the window passes the boundaries of
%the input image the window i... |
e2460667b363da311c7686e04c4993eb6b7d209aeed89127c9537c87bd79273a | MATLAB | 1,119 | 43 | function [x,y] = cellname2position(exppath, cellname)
% CELLNAME2POSITION - get a position of a cellname in a vhlab 2-photon experiment
%
% [X,Y] = CELLNAME2POSITION(EXPPATH, CELLNAME)
%
% Finds the position of a cell with a given CELLNAME in pixels.
%
% Example:
% % if S is an ndi.session
% e = S.getelements()... |
67c73a390d35eef91efd2bbdce68dc8b55b0f4dde9c69e8b6ef87d92e3f713f6 | MATLAB | 1,122 | 43 | function handles = setupIOplot_SanesLab(handles)
%handles = setupIOplot_SanesLab(handles)
%
%Custom function for SanesLab epsych
%
%This function sets up the GUI input-output plot axes and options
%
%Inputs:
% handles: handles structure for GUI
%
%Written by ML Caras 7.24.2016
global RUNTIME ROVED_PARAMS
%Setup X... |
c22e95ba621a615954642773e3530b32b5b8bdec508af8661c5f679e4771c0da | MATLAB | 1,125 | 65 | function tvreg_smoothen(fn, sampling_frequency)
zs_f = load([fn '_zs.txt']);
[nNodes, nSamples] = size(zs_f);
%%
smooth_f = nan(size(zs_f));
noise_power2 = nan(1,nNodes);
acc_power2 = nan(1,nNodes);
for i = 1:nNodes
my_noisy_f = zs_f(i,:);
[my_smooth_f, ~, ~, optimal_alpha, noise_power, acc_power] = ...
... |
759c8f8439cbdceac35f7f875ec14a497b42312ec61d5c2034226d3b30d7dd9f | MATLAB | 1,126 | 47 |
function collate_wav_stim_info()
close all;
set(0, 'DefaultTextInterpreter', 'none')
set(0,'DefaultAxesFontSize',12)
% Import wav files
searchpath = 'D:\stim\Barascud_wav_files\';
searchhname = fullfile(searchpath,'*resampled.wav');
soundfiles = dir(searchhname);
soundfiles = {soundfiles.name};
% rng('shuffle')... |
21eb261f73e409750a3e1536a208329f6290df2127d5c6894e64e03c47e85278 | MATLAB | 1,127 | 56 | function fit1 = fitness_soea45(A1, paramsvec, eegdata1, paramstoest, T1,tcut, fhz1)
paramsinput = [paramsvec, zeros(1,10)];
paramsinput(paramstoest) = A1;
% load in the data to fit against
eegautocor = eegdata1{1};
z = eegdata1{2};
z2 = eegdata1{3};
a4=[];
parfor RunIter = 1:5 % run 5 times for stability: - t... |
51d65152101898419c070a49619b29cba076dccf3ebdcc5c272e8838e96f6b1b | MATLAB | 1,128 | 37 | function [DataEMGfilt, samplesEMG]=filterRawEMG(address,ID, run, opt)
in_EMG=[address '\EMG\' ID '\' ID '_S1R' int2str(run)];
load(in_EMG);
if ~exist('opt','var') || isempty(opt)
opt.order=5;
opt.fc=10;
end
%% nocht
Fs = samplingFreqEMG; Fo = 50; Q = 35; BW = (Fo/(Fs/2))/Q;
[b,a] = iircomb(Fs/Fo,BW,'notch... |
7eb5f9d369469e1f82669758f567e90ebe8b0f53ebd4e7e65e8786f53e01191e | MATLAB | 1,129 | 48 | function [adj_mat] = get_seg_spatial_adj(seg,vals,conn)
% given 3-D segmentation, find regions that are adjacent
% uses the function findNeighbours found here:
% https://www.mathworks.com/matlabcentral/fileexchange/68549-findneighbours
if nargin < 3
conn = 26 ;
end
if ~ismember(conn,[ 6 18 26 ])
error('conn ... |
e2f1bd9a5ba115f3f29dc33bb36c0bb800dc4018d34ee3e84907209c6d79a905 | MATLAB | 1,129 | 45 | function [FA, AD, RD, ax_dir, FA_col] = compute_lamda_params(d,siz)
% function compute_lambda_params()
%
% helper function to compute parameters from a second order tensor's
% eigenvalues
%
FA = zeros(size(d,1),1);
AD = zeros(size(d,1),1);
RD = zeros(size(d,1),1);
ax_dir = zeros(size(d,1),3);
FA_col = zeros... |
56f8acd81b792b4a92e4c49dbf0aeaa021b84e839b5ca884d0258928b224ebb5 | MATLAB | 1,132 | 43 | %%
function [PreFtem, RecallFtem, SpecifTem, Dice, FmeasureF, IoU] = Fmeasure_calu(sMap, gtMap, gtsize, threshold)
%threshold = 2* mean(sMap(:)) ;
if ( threshold > 1 )
threshold = 1;
end
Label3 = zeros( gtsize );
Label3( sMap>=threshold ) = 1;
NumRec = length( find( Label3==1 ) ); %FP+TP
NumNoRec = length(find(L... |
0773d41d4f46149ef25933a3b6fb6328af456a7e5305babafefb18ccd324277b | MATLAB | 1,134 | 47 | %% Load model
net = importSleepNetHybrid()
%% Predict sleep stage
net = importSleepNetHybrid(4);
% load validation data for model 4
load('sleep_net_validation_data','-mat','X_test_4','Y_test_4');
% WARNING: Inputs need to be z-score normalized
X = normalize(X_test_4);
% classify() returns class labels instead of p... |
4879cce9aec38cbde06a9d414c33e8a771ca80702662c5df32051ac52fb14506 | MATLAB | 1,134 | 52 |
%%
cd(dataPath);
load(fileNames(len).name)
fprintf('loading session : %2.0f\n',len)
%%
clear epochedFF
TrialCount=1;
epochedFF=nan(length(StoreType),sum(Iscell),161);
for exp =1:length(StoreTimes)
Ff=StoreFF{exp};
TrialTimes = StoreTimes{exp};
CaTimeStamp=StoreCaTimes{exp};
for trial=1:length(TrialTim... |
cf83f334c6f93ac3f67f6e30191a4663d42dbf5ceec11f4f98eceb0edd24cb08 | MATLAB | 1,134 | 40 | function [rgr, out] = tp_sydney_red_green_ratio(dirname)
% TP_SYDNEY_RED_GREEN - compute red/green ratio for Sydney Padgett's data
%
% OUT = TP_SYDNEY_RED_GREEN_RATIO(DIRNAME)
%
% Given an experiment directory, return the RED/GREEN ratio from a set of cells that are
% defined in t00001 (green) and exist in t00002 (red)... |
f802c520e19e4d12d25392e801a656e3427baba1b21901244cddcc6e101662dd | MATLAB | 1,136 | 55 | function handles = loadGUISettings_SanesLab(handles)
%handles = loadGUISettings_SanesLab(handles)
%
%Custom function for SanesLab epsych
%
%This function loads GUI settings from a *.GUIset file
%
%Inputs:
% handles: GUI handles structure
%
%Written by ML Caras 8.3.2016
%Get the path name from the preferred directo... |
44c9a05d22a32cbf277bc259a47eca243a36fb70bbf0ddb1f6ad98614b15aa23 | MATLAB | 1,138 | 35 | function test_my_colormaps( )
% Display the colors of some colormaps.
% -- test a hand define colormap for curves
n_colors = 64 ; % 14 ;
cm_data = viridis(n_colors) ; %my_blues3(n_colors) ;
cm_data = parula(n_colors) ;
cm_data = redblue(n_colors) ;
% magma, viridis, inferno, plasma, my_PiYG
fig_tmp =... |
be8f0a47cab6e8028c8f91fe2cb08079f30ae14153119728747b1c2ba9d228c8 | MATLAB | 1,138 | 39 | function [response_bias] = ...
wrap_modelfun(modelfun, stimulus_azimuth, ...
probe_FP_azimuth, does_use_saccades, fitted_parameters, ...
AV_stimulus_azimuths, AV_FP_azimuths, AV_biases)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
if size(AV_stimulus_azimuths, 1) ~= ... |
d56dd933c2977872af9f4a8e7e5712ecb791832a37b7a27dbaf719fecaf33ecc | MATLAB | 1,139 | 67 | function [DA,TDT] = SetupDAexpt(tank)
% [DA,TDT] = SetupDAexpt
% [DA,TDT] = SetupDAexpt(tank)
%
% Used to initiate an experiment with OpenEx
%
% If the input, tank, is omitted then a prompt will appear to select or
% create a tank.
%
% DA is an ActiveX object that controls an experiment designed in OpenEx.
%
% TDT.... |
6ef8b5220806336101edb49e91522701e9ab1fa500b70bae70fe3a29f5107a70 | MATLAB | 1,141 | 59 | % PURPOSE: store ERPLAB session-only state in root appdata
%
% FORMAT:
%
% value = erplab_session_state(action, field, value)
function output = erplab_session_state(action, field, value)
output = [];
state_key = 'ERPLAB_SessionState';
if nargin < 1
help erplab_session_state
return
end
action = lower(action)... |
c07272e7a4929677d3df0a07ff27e5d09dc263d4e54129f9a9c4e4d56dd1f49c | MATLAB | 1,141 | 31 | function show_some3d(folder, n, ratio, cmap, savefig, save_path, save_name)
img_names = dir(folder);
assert( length(img_names) >= (n+2));
figure;
set(gcf, 'Units','pixels', 'Position', [0, 0, 400*n, 600])
for i = 3 : n+2
axis equal;
img = imread3d(fullfile(folder, img... |
50d6ec693866e8a78d77dfc9082ceb880d2f8adf8525c805941187a871e96eb1 | MATLAB | 1,145 | 39 | function [SelPerAS, Sel_sPerAS] = selectivity_all_AS(model, Q, iActiveSites)
arguments
model (1,1) Model
Q = linspace(0, get_max_threshold(model));
iActiveSites = [];
end
fascIdsByAs = load_active_sites(model.paths);
if isempty(iActiveSites)
iActiveSites = 1:size(fascIdsByAs, 1);
end
% Com... |
290872bd6c6b9432573fd15929ac0b3b89e2e65438d502e9c7cf081990d9ed2f | MATLAB | 1,146 | 37 |
function Spikes = pp_save_manual_sort( subject, session, Spikes, channel, spikes )
%
% pp_save_manual_sort( subject, session, Spikes, channel, spikes )
% Incorporates the manual changes from splitmerge tool into the Spikes
% struct, changes flag to indicate channel has been sorted, and saves
% the updated fi... |
9581bf705c5a15ff84014ad1e02fe89617dec5ea3415334d218f80c5417a392c | MATLAB | 1,148 | 43 | function escapedStr = strescape(str)
%STRESCAPE Escape control character sequences in a string.
% STRESCAPE(STR) converts the escape sequences in a string to the values
% they represent.
%
% Example:
%
% strescape('Hello World\n')
%
% See also SPRINTF.
% Copyright 2012 The MathWorks, Inc.
escapeFcn =... |
6f4de893a6420e7238dfa831e9d8e302fab4b96449ef04411a2ef66feb2c948b | MATLAB | 1,150 | 33 | function dist=KLDiv(P,Q)
% %% This function has been adopted from the following GitHub repository: "https://github.com/cds-swinburne/Hartoyo-et-al-2019-DATA-n-CODE."
% dist = KLDiv(P,Q) Kullback-Leibler divergence of two discrete probability
% distributions
% P and Q are automatically normalised to have the s... |
39c4976407b91d9cd47d6eb772d0f92f8c418ba3b03fb783a2c5ea392a2f358c | MATLAB | 1,152 | 53 | function out=trimstd(data,percent)
if percent<1;
disp('multiplying percent input by 100...');
percent=percent*100;
end
npnts=length(data);
nppnts=round(npnts*(percent/100)/2);
srtdata=sort(data);
%Windsorize...
srtdata(1:nppnts)=srtdata(nppnts+1);
srtdata(npnts-(nppnts+1):end)=srtdata(npnts-(nppnts+1)-1);
ou... |
56757aeec9a6368e5f826ca1788fbe32c61b3c0ba73bb0b9686aedc728ba81fb | MATLAB | 1,153 | 40 | function V = load_potential(model)
log = model.getLogger('potential');
%% Get fiber population coordinates and parameters
[fascIdsByAs, activeSites] = load_active_sites(model.paths);
%% Place fiber segments
if isfile(model.paths.fiberCompart)
fibersCompart = load_fibers_compart(model.paths);
log.info... |
e1a808c0458eed0b32e880fc8901788503fe9c598c22b8b1cea8c4045797dd8c | MATLAB | 1,153 | 49 | function [IND,Genes,Genes_compressed] = findActivatedPoints_gradCAM(Data,inputSize,net,Dmat,Threshold,FIG,Sample)
im = cat(3,Data.XTrain(:,:,:,Sample),Data.XTrain(:,:,:,Sample),Data.XTrain(:,:,:,Sample));%imread('ngc6543a.jpg');
imResized = imresize(im,[inputSize(1),inputSize(2)]);
scoreMap = gradCAM(net.trainedNet,im... |
6230754ab4f31a9f03376dcc10b238a9931460894fa4aaa93948e999f7378d65 | MATLAB | 1,156 | 53 | function varargout = TrialFcn_PumpControl
% Custom function for SanesLab epsych
% This function sets and controls a New Era-1000 Syringe Pump.
%
%
% Daniel.Stolzberg@gmail.com 2014. Edited by MLC 7.22.2016.
disp('CONNECTING TO PUMP...')
%Create a serial connection to the pump
pump = serial('com1','BaudRate',19200,'D... |
6c44c84383b5ed271e1ab20a62ebd76631640ca0e357513b39b96c635214f0b5 | MATLAB | 1,158 | 23 | erplabstudiover = '12.01'; % current erplab studio version
erplabstudiorel = '03-June-2025'; % DOB
erplabstudiodeveloper = 'Simmons,Zhang,Garrett,Winsler';
% erplabstudiolabel = 1;%0: using ERPLAB; 1:using ERPLAB Studio
%ColorB = [170 180 195]/255; % old background color (until ve... |
19312a38df9c74043db0dd7257615329659006c4340c51aebfc5770376c264e0 | MATLAB | 1,159 | 36 | function [fNames, fNames_grp] = compileCUDAMexFunc(lib_num)
fNames_grp = {["kcGMLM_mex_create.cpp", "kcGMLM_mex_clear.cpp", "kcGMLM_mex_computeLL.cpp", "kcGMLM_mex_computeLL_async.cpp", "kcGMLM_mex_computeLL_gather.cpp"], ...
["kcGLM_mex_create.cpp", "kcGLM_mex_clear.cpp", "kcGLM_mex_computeLL.cpp"]};
... |
46aaa4668cc83e10ac4fc289173c3c1c344ea9d941b6554722d9e43c7e78180f | MATLAB | 1,159 | 41 | function M = ConvPixel(FVec,xp,yp,A,B,Base,FIG);
% M=ConvPixel(FVec,xp,yp,A,B,Base,FIG)
if nargin==6
FIG=0;
end
n=length(FVec);
% Plot in pixels
M=ones(A,B)*Base;%zeros(A,B);%(-50000)*ones(A,B);%zeros(A,B);%(-30000)*ones(A,B);%
for j=1:n
M(xp(j),yp(j))=FVec(j);
end
% if (xp,yp) has some duplicates then value ... |
66e148900bd21fb6fa82b0e1e9b9fee7673bee2e50b162499f52c67b80d34aee | MATLAB | 1,160 | 44 | function c = fcn_mst_plus(a,dens,dist)
% compute threhsold with minimum spanning tree and edges added to reach
% certain percent density
% inputs: matrix, density [0-1], distance transformation (inv, minus)
% outputs: binary mask to do thresholding
% written by Rick Betzel, Josh Faskowitz additions, Indiana University,... |
7e66669ccbb03e40ff8745a74103810276d4335549ba85bd332dfba47751acfa | MATLAB | 1,161 | 45 | function [signalOut,spatfiltmatrix] = ieeg_car(signal, chans2incl)
% This function performs Common Avregae Reference (CAR) filtering on a
% signal
%
% Inputs:
% signal = time x channels
% chans2inc = channel indiced to include in common average reference
%
% Outputs:
% signalOut=signal*spatfiltmatrix;
%
% ... |
f103e8d1bb192cbf1976269fe9bbb2332e29a871cdd92e66f82392944b2c27d5 | MATLAB | 1,162 | 35 | function count_ep_kept()
% Check the nb of epochs kept for the analysis (after epoch rejections by
% visual inspection, amplitude criterion & possibly removing 10 first ep).
% Nb of ep kept saved in TSL_analyze_EEG.m w/ save_ep_kept = 1.
folder_fn = './results_EEG_lica/data/' ;
%folder_fn = './results_EEG_lic... |
babda20cc677fcb4e9757e58174eceebf5bdce7cf0ece06ca8f76a8d0cd41217 | MATLAB | 1,163 | 38 | %%
clear all
close all
run(['..' filesep 'def_local'])
addpath(path_fieldtrip)
ft_defaults
%%
load wsws_badComps_test
allfiles = {'405','406','407','408','409','410','411','412','413','414',...
'415','416','417','418','419','420','421','422','423'};
for n=1:length(allfiles)
%%% load test data & components... |
d35418dbeb906853a9f2ff01fc04d26bba185f2fe9c4aaee539662705d6c476e | MATLAB | 1,164 | 52 | function [maxD,meanD,K] = genmodel_dist_bin(aij,bij,d_aij,d_bij)
% the distance function from generative modeling paper
% enforce binary
aij = aij>0 ;
bij = bij>0 ;
% note the binary functions
evalfuncs = cell(4,1) ;
evalfuncs{1} = @(a_) sum(a_,2) ;
evalfuncs{2} = @(a_) clustering_coef_bu(a_);
evalfuncs{3} = @(a_) be... |
5117ba706c5dc05dc99342c2576fd259aea300cb24cf152e23db6ef7f7619e88 | MATLAB | 1,168 | 53 | % This function is to remove calibration when importing ERPSS files
%
% Author: Guanghui Zhang & Steven Luck
% Center for Mind and Brain
% University of California, Davis,
% Davis, CA
% 2022
function ALLERP = f_erp_remv_Calibrate(ALLERP, ERP_index)
if nargin<1
help f_erp_remv_Calibrate
return
end
if nargin<... |
9686122aa1997d751b9736acb57ee8189c06e73ee7cbb1177fef60e13202a961 | MATLAB | 1,168 | 35 | plotDir = 'C:\Users\fciotti\OneDrive - ETH Zurich\HEN\recr_extr_plotsCOMPLETE\';
f = load([plotDir '3_36-70.mat']);
f(2) = load([plotDir '3_1-35.mat']);
f(3) = load([plotDir '1_71-105.mat']);
f(4) = load([plotDir '1_36-70.mat']);
f(5) = load([plotDir '1_1-35.mat']);
f(6) = load([plotDir '3_71-105.mat']);
re... |
2046ee880fae7397763e6742fb518a9331377544df98ceeea76c20edc34d588e | MATLAB | 1,169 | 31 | % https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning/blob/master/ML/ex1/featureNormalize.m
%
function [X_norm, mu, sigma] = featureNormalize(X)
%FEATURENORMALIZE Normalizes the features in X
% FEATURENORMALIZE(X) returns a normalized version of X where
% the mean value of each feature is 0 an... |
219e0200b1f17b26afeb61fb93c91c64bc950c13b5eb20babd502f93a0e1282d | MATLAB | 1,169 | 37 | function corr_dist = get_pce_dist(res_list, idx_list, img_size)
% This function compute pairwise PCE correlation among a bunch of fingerprints.
% INPUT:
% res_list A list of residual paths
% idx_list A list of tuples, each tuple includes residual indexes that forms a fingerprint
% img_size image di... |
4f7f7a264ab9de1b3569379c03a0ccfa4bd6e41f465d10d4d0180e60c2986733 | MATLAB | 1,169 | 38 | clear;
Original_image_dir = 'E:\dataset_denoising\';
write_MAT_dir = ['C:\Users\csjunxu\Desktop\RID_Dataset\'];
eval(['cd ' Original_image_dir]);
d = dir;
for i = 1:length(d)
if ( (d(i).isdir == 1) && ~strcmp(d(i).name,'.') && ~strcmp(d(i).name,'..') )
filepath = d(i).name;
write_sRGB_dir = [... |
7fbce7f29c8075952d4b6b4fe63ec58c993d3f44304a682d1bd8e433ba4ae888 | MATLAB | 1,170 | 41 | function delays = plotLags(w,lags)
nMice = numel(w);
% get the average across mice--interpolate in case not all the same time
% bins?
% take the first one as reference
delays = nan(1,nMice);
lagsRef = lags{1};
wMean = nan(numel(lagsRef),nMice);
for k = 1:nMice
wMean(:,k... |
ff3195db6ba613495ba81f0f658894f6bf65f087c7cfc584531afae72f607b50 | MATLAB | 1,179 | 55 | function [] = boot_plot(x,y,bootIter,extend)
if nargin < 3
bootIter = 1000 ;
end
if nargin < 4
extend = 0 ;
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% add ones for intercept
X = [x ones(size(x,1),1)] ;
%% full regression
[fullreg,~,~,~,stats] = regress(y,X) ;
disp(... |
ee10fbd1a7f0e696193d30994111d0fd52eff9b69a49037df5688aa9e25272c2 | MATLAB | 1,182 | 42 | %this is a program to take the plane number corresponding to the
%experimental plane and scale factor for all the fish in the pool and also the final pool
%cluster data and generate CSV files to be transformed into zbrain coordinates choose folder DMDLBRDLCB_allbrainspoolPL
%created by Haleh Fotowat
clearvars
close all... |
714be222d3a140039c7d59026088ebcea2d6986a3722ecf70b3edc42564ebf5e | MATLAB | 1,183 | 38 | function all_params_RW = get_all_params_RW()
% learning rates, in [0, 1]
all_a = 0.05:0.05:1 ; % 20 values; 3*21: 63
all_a = [0.005:0.005:0.04, 0.05:0.05:(1-0.05)] ; % 27 values
all_a = [0.005:0.01:(1-0.05)] ; % 95 values
all_a = [0.005:0.005:0.04, 0.05:0.01:(1-0.05)] ; % 99 values
n_a = length(all_a) ;
all_l... |
fcfac7ff1eec6432ebc6accdfdc7c02eedb5b7efc7aa486f2469370c05c08cff | MATLAB | 1,183 | 44 | function [] = setupComputeStructuresHost(obj, reset)
if(nargin < 2)
reset = false;
end
if(~isempty(obj.LL_info) && ~reset)
return;
end
trs = obj.trials;
obj.LL_info = struct();
obj.LL_info.X = cell2mat(reshape([obj.trials(:).X], [], numel(obj.trials))');
obj.LL_info.Y = cell2mat({trs(:).Y}');
obj.LL_info.bin... |
9e783ac8a025a631f18d2628f58e2bb3b521b468d5b103450b9125beefd7576d | MATLAB | 1,186 | 41 | function fname = tpconfigfilename(dirname)
% TPCONFIGFILENAME - Name of the PrairieView configuration file
%
% FNAME = TPCONFIGFILENAME(TPDIRNAME)
% OR
% FNAME = TPCONFIGFILENAME(TPCONFIGFILE)
%
% If TPDIRNAME is a directory, then READPRAIRIECONFIG determines
% the name of the config file. If TPCONFIGFILE is a f... |
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