sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
8f99d3d4467c6e468ae52a68e57449e51184db4e1f4bb2a86c8e572fca0b5809 | MATLAB | 11,486 | 333 | function [] = CategoricalScatterplot(X, varargin)
% function [] = categoricalscatterplot()
%
% A replacement for the traditional box and whisker plots provided in
% MATLAB (command boxplot). The categorical scatter plots additionally
% shows the data points, which is useful the visualize the underlying
% distribution (... |
6a307f02726e93dcfc6efeac80b1aacfed76bd979983586446adf4d88dd6645b | MATLAB | 11,499 | 294 | function total = switchBuffer(duration,varargin)
% function total = switchBuffer(duration, ...)
%
% Never call this function directly, internally called by keyBuffer!
%
% Usage: total = switchBuffer(duration, varargin)
%
% INPUTS, INPUTS-OPTIONAL, OUTPUTS
% The same as keyBuffer, see help keyBuffer. Only the touchsc... |
2ac388c3d0bd2092b384369c905eff0a3cf1e84f162b24bb9847db43f4d77f58 | MATLAB | 11,501 | 374 | function nvr_record_data(wavfid,nvrfid)
%
%
% This file is the meat and bones of the digital vocalization recording system.
% It will read in data from the specified channels at the specified SR, and will
% save that data to disk (wavfid)until either the stop button is pressed, or the
% total recording time exceeds th... |
600f63964890c7e3330973da0cc33cf0207431262bcad16cbb146233ba8d05c9 | MATLAB | 11,526 | 277 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% ################################################################# %% DESCRIPTION
% Script to analyse data for:
% Grieves et al. (2020)
% Quantification of firing rate map procedures
%
% This script
% NOTE: This script is dependent on graphtest... |
8bdcaa5dda2f1680c8c78dc9e40201ff88fbd3ec7bf5092f22e88d331979dfdf | MATLAB | 11,540 | 371 | clear all;close all;clc
tic
% develop for 1 subj
cond_num = 2
reg1_name = 'OFC';
reg2_name = 'HC';
subj = '84';
exp_type ='tuning_correct';
lock = 'onset';
cd(['/tmp/yassamri/iEEG/sandra/subj_' subj])
addpath('/tmp/yassamri/iEEG/sandra/analysis_pipeline_final')
[cond1,cond2,cond3,cond4, cond5, cond6] = GetCondDa... |
fd96c1fa9051d8fb7920977f0a17069b914ad96bb88ff28f7fea7f5099121ae4 | MATLAB | 11,562 | 352 | clear all
close all
clc
addpath('/gpfs0/tals/projects/Analysis/stavbi_goldfish_2021/Matlab/matlab_functions','-end')
%% loading the data
load('Inh_data_10_6_2022.mat');
geneid=Inh_geneid;
flags=Inh_flags;
data=Inh_data;
%% normalization + highly variable genes + scaling and log transform
exg={'Eif2s3y,Ddx3y,Uty,Kdm5d,... |
50246d5da9924502f0d7fc6251770efb8cf0663be81ad7aa50a1dfdddf8331b7 | MATLAB | 11,578 | 283 | function [] = analyzeCalciumDataCI(nParallel,nBoots,p)
% analyzeCalciumDataCI Takes Processed Calcium data and fits pairwise Ratio of Gaussians model
%% INPUT
% nParallel ( must be > 1) - number of cores to run on parallel
% nBoots - number of bootstrap resamples (default 1000)
%%% NAME-VALUE INPUTS
% ... |
43ab6b04eae78541d5b5be2b88dd6c1fb4d3944d0a12dae498e1e64ebd82a092 | MATLAB | 11,589 | 275 | %% Thomas_Yang_et al, 2023 @Nuo Li lab
%% Fig. 4d ALM activity in control and SC photoinhibition trials projected onto the coding dimension
clear all
close all
addpath('../func/')
load Figure_4_d_data
%% average trajectories along CD across session
% Ipsi SC stim
proj_R_training_mode1 = [];
pro... |
8e0d78921600a7157e69015e2bb94898b94d65026c4b41b7ed443eabb67256a8 | MATLAB | 11,595 | 262 | function startTime = controlSound(soundFile, varargin)
% Play, stop or release a sound that was loaded with loadSound.
%
% Called with the sound handle alone the whole file is played. Optional
% arguments repeat it, stop it, stop it after a given time, or give its
% audio buffer back to the sound driver. Playing a soun... |
4d6052fe7d682f2ede0bc9ebf27bc500ac61c3aba1c529cebfca1a8eada3335f | MATLAB | 11,627 | 373 | function [sROI] = ReadImageJROI(cstrFilenames)
bOpt_SubPixelResolution = 128;
% -- Check arguments
if (nargin < 1)
disp('*** ReadImageJROI: Incorrect usage');
help ReadImageJROI;
return;
end
% -- Check for a cell array of ROI filenames
if (iscell(cstrFilenames))
% - Read each ROI in turn
cvsROI = cellfun... |
3301a2efa380939fa54d60b9eefb1255297f94c81c50f4e30fddab391fc7779d | MATLAB | 11,633 | 225 | % PRE SPIKE TRAIN CIRCULAR SHIFT
% Disrupts temporal domain.
% INPUT:
% decoded_thetaSeq, directional_place_fields - data structs. If empty, loads them
% num_shuffles: integer
% save_shuffles: 1 or 0. To save shuffled structures
% save_option: 'Y' or []. To save function outputs
function [PREspike_tra... |
adf1b85f9dd387325f688c3b20845ff18fc6a5652408443ac9f581e6f0184ac9 | MATLAB | 11,664 | 429 | % Plots all the RGC and SC neurons, and allow the user to click on
% one of them to see the potential.
function inspectPotential(obj,addFlag, SCidx)
if(isempty(obj.UAct))
disp('You need to have C and U tables')
return
end
% Whether we do synapse addition or removal energy
if(~exist('addFlag'))
... |
fd6e50286c82bbbe54751245681a23a74bdd67ee4ae6dafc117545c39bb48c32 | MATLAB | 11,667 | 238 | %% calculate prediction accuracy within each network.
clear all
% Add package to read NPY files into matlab
addpath('/Users/askeller/Documents/npy-matlab/')
% fourth column has the matched_group
data_for_ridge=xlsread('/Users/askeller/Documents/Kellernet_PrelimAnalysis/RidgeResults/data_for_ridge_081822.xls');
% Lo... |
6c1279178bf6e1361ad2bc9ce1f397fb4495fecb67b433e3cbcfd00ab0303416 | MATLAB | 11,670 | 318 | function out = spm_dartel_norm_fun(job)
% Spatially normalise and smooth fMRI/PET data to MNI space, using Dartel flow fields
% FORMAT out = spm_dartel_norm_fun(job)
% job - a structure generated by the configuration file
% job.template - Dartel template for aligning to MNI space
% job.subj(n) - Subject n
% ... |
53497668edb27934dd91d367702b9d3e1417ab4e70c8d874284c8e5fa1b789a9 | MATLAB | 11,671 | 325 | function [task] = runSVC(studyArg, subNumArg, waveNumArg, runNumArg)
% % RUNSVC.m $%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% usage: [ task ] = runSVC( subNumArg, waveNumArg, runNumArg )
%
% subNum && runNum are scalar
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
53c50a3980d0c6bfbeafc9875297c9cd00a370aa0f7caab29844f495d9487a7b | MATLAB | 11,674 | 306 | function varargout = SaveFMFSettings(varargin)
% SAVEFMFSETTINGS M-file for SaveFMFSettings.fig
% SAVEFMFSETTINGS, by itself, creates a new SAVEFMFSETTINGS or raises the existing
% singleton*.
%
% H = SAVEFMFSETTINGS returns the handle to a new SAVEFMFSETTINGS or the handle to
% the existing singlet... |
75b495a930eb05ada01e4eb1c25fc655dc8bf37920d8f9a7462e7442e0cce0d8 | MATLAB | 11,697 | 267 | function SBJ08b_HFA_plot_corrRT_ANOVA(SBJ, proc_id, an_id, stat_id, plt_id, save_fig, fig_vis, fig_ftype)
% Plots ANOVA results
% clear all; %close all;
% fig_filetype = 'png';
if ischar(save_fig); save_fig = str2num(save_fig); end
%% Data Preparation
% Set up paths
if exist('/home/knight/hoycw/','dir');root_dir='/hom... |
ca60c930e161dec33bd7846d1c7d2e1ca96247c633fc9ed126f11b5c473139a4 | MATLAB | 11,708 | 269 | function [G, CGM, insulinBolus, correctionBolus, insulinBasal, CHO, hypotreatments, mealAnnouncements, vo2, x] = computeGlicemia(mP,data,model,sensors,dss,environment)
% function computeGlicemia(mP,data,model,sensors,dss,environment)
% Compute the glycemic profile obtained with the ReplayBG physiological
% model using... |
d0cfb8253892354466ba573535ab2f412ea1f2a930a62cf567790eb56016b101 | MATLAB | 11,717 | 278 | function SBJ06d_ERP_plot_crRT_mGLM(SBJ, proc_id, an_id, model_id, stat_id, plt_id, save_fig, varargin)
%% Plots mass GLM beta time series for ERPs per electrode
% INPUTS:
% SBJ [str] - ID of subject
% proc_id [str] - ID of preprocessing pipeline
% an_id [str] - ID of the analysis parameters to use
% model_id [s... |
118f466afec3274b2d6a80233513ef0c3c0bdc59f424f9f525751ca98f61ba98 | MATLAB | 11,739 | 352 | clear all
close all
clc
addpath('/gpfs0/tals/projects/Analysis/stavbi_goldfish_2021/Matlab/matlab_functions','-end')
%pyenv("ExecutionMode","OutOfProcess"); %run just one time
%% loading the data
load('nonneurons_data_10_6_2022.mat');
geneid=nonneurons_geneid;
flags=nonneurons_flags;
data=nonneurons_data;
%% normaliza... |
7ffae16221c51c6fb7e0d89eb80671586ca701a0834b71bcab8c7ddf200ed242 | MATLAB | 11,746 | 338 | function [R2, sqErr, yhat, coef] = nc_FitAndEvaluateModels(y, x, model,crossvalidate,bootIter, params)
% Calculate R2 using leave one out cross validation for a variety of models
%
% [R2, sqErr, yhat, coef] = nc_FitAndEvaluateModels(y, x, model,crossvalidate,bootIter, params)
%
% This function will fit and evaluate a n... |
b31a7a5a119c8e2092f6c5d432d60e39fc9a2f8d3707e4010e8562a3b358ad88 | MATLAB | 11,762 | 257 | % to conduct stats on regional metrics of Suzhou data
% Written by ChenXiao
% 20220331
%% initialization
clear; clc;
work_dir = 'working directory';
if ~exist(work_dir, 'dir'); mkdir(work_dir); end
data_dir = 'DPABISurf Preprocessing Files';
TemplateDir = 'DPABISurf surf template directory';
HemisphereNameSet = {'lh'... |
a9ebbef5b2e28c598ed7fda16d377d1cdfadbcbd9a457dea86cfbcddcb4848ed | MATLAB | 11,764 | 216 | function [Objects] = f_imageAnalysis(Label, ch1, ch2, ch3, ch4, PreviewPath, MetaTable)
%vol(ch1, 0, 5000) Hoechst
%vol(ch2, 0, 4000) 647 DCX
%vol(ch3, 0, 5000) 568 Sox2
%vol(ch4, 0, 5000) 488 Nestin
ObjectsThisOrganoid = table();
%% Max projections
%NucMax = max(ch1, [],3); imtool(NucMax,[... |
be850aaa5ad7c80a667252ff8ef717ed346ebb40f3968ee26abb25d613625260 | MATLAB | 11,766 | 312 | %% Imports
addpath(genpath('../libraries/phastimate'));
addpath('../libraries/neurone_tools_for_matlab_1.1.3.11_mod');
addpath(genpath('../src'));
%% Configuration and Setup:
LOG_MEP = false;
ANTIMEDIAN_MEP = false;
offset = 5/1000; % in seconds, this is the offset of the windows from the TMS-pulse: 5ms
interpolate =... |
bb5e7d361883c11cd08862ff8e8545a4f54fd34d71c04b6117b8cd9caec901aa | MATLAB | 11,773 | 319 | function [nn,ctrs] = myhist3(varargin)
%HIST3 Three-dimensional histogram of bivariate data.
% HIST3(X) bins the elements of the M-by-2 matrix X into a 10-by-10 grid
% of equally-spaced containers, and plots a histogram. Each column of X
% corresponds to one dimension in the bin grid.
%
% HIST3(X,NBINS) plots ... |
0865f9dae71a36a4e05ac8d20f1c7cb516d645cd99847bc67f6c52877e73f40c | MATLAB | 11,786 | 392 | function [suspicious,dataperfly,params] = suspicious_sequences(matname,annname,varargin)
[MINERRJUMPFRAC,CLOSELENGTH,MINORIENTCHANGE,MAXMAJORFRAC,MINWALKVEL,MATCHERRCLOSE,...
MINANGLEDIFF,MAXDISTCLOSEFRAC] = ...
myparse(varargin,'minerrjumpfrac',.2,'closelength',20,'minorientchange',pi/4,...
'maxmajorfrac',2/3,'... |
886a21cb718e6135661839d0c3c3ff2d030852ebee208d7dfb37daaf7f015688 | MATLAB | 11,799 | 263 | %% Calculate Minimum Distances Between Imaris Puncta
% Thomas Murphy, UC Riverside, 2021
%
% Get x,y,z positions from exported stats for two Imaris spots objects, and calculate minimum
% distance between them (i.e., min distance from a Lphn2 spot to nearest vGlut1, and vice versa).
% Output tables of distances an... |
06b565e8180aa9696d437371bc57321700a2b9ee6710cdc00159f4127b3d750b | MATLAB | 11,802 | 257 | %% ----------------------------------------- %%
% Note Jan 28 2020:
%
% Current version of code does FOV correction, grid correction & MIP/AIP
% generation, surface finding & profiling, mosacing & blending
%
% Suggested parallelization method: one slice per thread
%
% volume stitching is currently in another code
%
% ... |
cddab1c8bec8c6a9abe7d293f48b5816984ce9483d0fd52e829aea8353abbe22 | MATLAB | 11,832 | 297 | function RATS_population_vector_analysis_figure
% POPULATION VECTOR ANALYSIS FOR RATS INDIVIDUALLY
cd 'X:\BendorLab\Drobo\Lab Members\Marta\Analysis\HIPP\Chapter 1\Population_vector_analysis\figures\PPV_shuffles_RAW-PlField_BAYESIAN'
rats8 = openfig('Cummulative frequency distribution RAW BAYESIAN PlFlds -S16_8.fig'... |
3ff791aeb82b25a6521310c53f9c6e005609a39e0552aed5a9c4b0396dd45d7f | MATLAB | 11,834 | 279 | function tSC_neuron_coupling(mainPath, animal, session, ch, isstim, isshuffle, neuron_n)
%TSC_NEURON_COUPLING testing phase coupling to tSCs
% TSC_NEURON_FIRINGPROP(MAINPATH, ANIMAL, SESSION, CH, ISSTIM, ISSHUFFLE,
% NEURON_N) performs Rayleigh's test for circular uniformity on
% temporallyshifted spikes to ... |
8e51449a5745f489947b51e083adbccc7f48ff4df065ef6128c93a827e22b8d3 | MATLAB | 11,854 | 384 | function out = spm_shoot_template(job)
% Iteratively compute a template with mean shape and intensities
% format spm_shoot_template(job)
% Fields of job:
% job.images{1} first set of images (eg rc1*.nii)
% job.images{2} second set of images (eg rc2*.nii)
% etc
%
% Other settings are defined in spm_shoot_def... |
ea52246b89c94bc61dc89c59ca2b7d7b2148447f85c217f7176c34e83d6c9f2c | MATLAB | 11,854 | 292 | figure
group_plots = 'yes'
if strcmp('yes',group_plots)
subjLength=1;
else
subjLength=8;
end
for iSubj = 1:subjLength% change this for indiv subj line color
clearvars -except conda condb condc cond1 cond2 cond3 cond4 cond5 cond5 iSubj group_plots ...
reg1_reg2_LureMinus reg1_reg2_LurePlu... |
bc1cffbaedf5bb8013627e52e1f618a63ddb913490305d390ae724d255fe1aa7 | MATLAB | 11,862 | 361 | function [varargout] = spm_uitable(varargin)
% WARNING: This feature is not supported in MATLAB
% and the API and functionality may change in a future release.
% UITABLE creates a two dimensional graphic uitable component in a figure window.
% UITABLE creates a 1x1 uitable object using default property values in
%... |
709bc56158c5ccb3210d645fad29b002253edddff80cbf7988dc569acfb0373b | MATLAB | 11,874 | 418 | classdef TreeMapOfMany < handle
% AUTHORSHIP
% Primary Developer: Stephen Meehan <swmeehan@stanford.edu>
% Copyright (c) 2022 The Board of Trustees of the Leland Stanford Junior University; Herzenberg Lab
% License: BSD 3 clause
properties
map=[];
useSet=false;
end
methods
... |
276bf974cf09bbb9163dab526a6b34fd4bc5d890b0a82c1e742595531aadcd86 | MATLAB | 11,885 | 268 | function SBJ08f_HFA_plot_grp_GLM_onsets_wiROI(SBJ_id,proc_id,an_id,model_id,stat_id,roi_id,...
plt_id,save_fig,varargin)%gm_thresh,z_thresh,
% Load HFA mGLM results to plot onsets of signifcant effects within ROI
% Also shows t-test for onset differences between regressors ... |
04da9b05bbbd1b5ade3c24ee005da9cc91d0345d4703955006e05b173372edd7 | MATLAB | 11,892 | 287 | function SBJ01a_import_data(SBJ,proc_id)
%% SBJ01a_import_data.m
% Extract data with fieldtrip and save out by data type
if exist('/home/knight/hoycw/','dir');root_dir='/home/knight/hoycw/';ft_dir=[root_dir 'Apps/fieldtrip/'];
else root_dir='/Volumes/hoycw_clust/';ft_dir='/Users/colinhoy/Code/Apps/fieldtrip/';end
addp... |
76c44c2d334e09ecd207a44f83c7dbddf0b1a09d036e6d562d6b09b770826abe | MATLAB | 11,896 | 291 | function[]=BaSiC_shading_and_ret_stitch(id,P2path,datapath, ntiles,depth, thickness)
% add path of functions
addpath('/projectnb/npbssmic/s/Matlab_code/fitting_code');
addpath('/projectnb/npbssmic/s/Matlab_code/PostProcessing');
addpath('/projectnb/npbssmic/s/Matlab_code/PSOCT_code');
addpath('/projectnb/npbssmic/s/Mat... |
53a83b979a4c305e09be5729e903bd2379dd2cbc6034806a61b2a29b33f1d3c8 | MATLAB | 11,913 | 295 | function [self] = getDistByTimeSpike(self,condNdx,key,opts,plotFig)
% getDistByTimeSpike wrapper function for calculating the transition
% probability, turn optimality, and kinematics in the KNN space
%
% Inputs: self = fly object
% condNdx = fly x time matric of the general firing rate regime
% ... |
d852d419f374b2c30b767a4969eae1f4777464657a874c64e2f7e2cbbd994e49 | MATLAB | 11,920 | 374 | %plotWesternData_final.m
%% section 1 -- plot without outliers
clc; clear all; close all;
theDir = 'C:\Users\kmfo8\Dropbox\Rutgers\Firestein Lab\MEA papers -- addl experiments\EXP for BDNF dose response\final NEW results from Srini\';
figDir = [theDir,'final_forPaper\'];
theFile = ['bdnfWesternData_plotNoOut... |
c41bf223679ab90922795f6b2f2f0aef816c6cf200170fb69c6f644bf9a94e22 | MATLAB | 11,937 | 346 | function varargout = spm_preproc_run(job,action)
% Segment a bunch of images
% FORMAT spm_preproc_run(job)
% job.channel(n).vols{m}
% job.channel(n).biasreg
% job.channel(n).biasfwhm
% job.channel(n).write
% job.tissue(k).tpm
% job.tissue(k).ngaus
% job.tissue(k).native
% job.tissue(k).warped
% job.warp.mrf
% job.warp.... |
900959d9f8519ea5364859c2af59eecf73d318a3b6b946b7706ce88278412e06 | MATLAB | 11,945 | 272 | function tSC_neuron_firingprop(mainPath, animal, session, ch, isstim, neuron_n)
%TSC_NEURON_FIRINGPROP Main preprocessing of spikes - tSC connection data.
% TSC_NEURON_FIRINGPROP(MAINPATH, ANIMAL, SESSION, CH, ISSTIM, NEURON_N)
% is calculating mean firing properties for single neuron activities
% recorded s... |
e71fc4a03a3f735c6e6b3230187a0a266ee47fd65fe7757f4f3f1b4ca167889b | MATLAB | 11,960 | 295 | function total = getAnswer(duration,varargin)
% Use this function to get access to the user's response keys. It is more
% flexible to use than the function keyBuffer.
% To be able to define good and bad responses use the helper function
% "getKeyValue" to get the appropriate number for each key.
% getAnswer allows the ... |
d8c028d2b3343671fee30b8f20107dfa8b0f7e26f38efe0cfa93f1340fb01649 | MATLAB | 11,974 | 278 | % function MAP_fig_1_multi(mname,config)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% ################################################################# %% DESCRIPTION
% Script to analyse data for:
% Grieves et al. (2020)
% Quantification of firing rate map procedures
%
% This script
% NO... |
0dacea96cadf9256394d3f5814de994a267de6885ce32e4b1b6a3baeef2ab865 | MATLAB | 11,984 | 312 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Coherence calculations
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Coherence Code
% Coherece is run between paris of electrodes
% data needs to be in the EEGLAB format
% pathing needs to b... |
d3986e1404ee5e3d9ac10bbc30b6565ea4aed85bed62637dc66d16eeafc0acdd | MATLAB | 11,993 | 349 | clear all
close all
clc
addpath('/gpfs0/tals/projects/Analysis/stavbi_goldfish_2021/Matlab/matlab_functions','-end')
%% loading the data
load('Ex_data_10_6_2022.mat');
geneid=Ex_geneid;
flags=Ex_flags;
data=Ex_data;
%% normalization + highly variable genes + scaling and log transform
exg={'Eif2s3y,Ddx3y,Uty,Kdm5d,Btg2... |
17524f03339bfd9b6b7f0e28b8c9849e0eb0041fb9beb3554340529bda3fed7e | MATLAB | 12,017 | 265 | function notNeeded = initSound(devIndex)
% Open an audio device and prepare it for playback with loadSound.
%
% Called without an argument the function searches for the best sound
% system this computer offers and opens the first output device it finds.
% On Windows it works through ASIO, WASAPI, WDMKS, DirectSound and... |
6860a341d26ed3ba582363accbd56a902d3befee262f80a4ac8461df8a1b827c | MATLAB | 12,017 | 262 | function myHardwareSetup
% This function sets all basic parameters of the hardware in your setup.
% This function needs to be stored on each experimental computer. All
% required hardware definitions are stored in the global variable SETUP
% created by this function. Edit this function when building a new setup.
% Desc... |
a6a3b75de0ec23cd7cc19bd179324f573a70af516b390fc30813c16ff8f749a4 | MATLAB | 12,031 | 272 | function showInstructions(source, varargin)
% Use this function to display instructions or information to a subject.
% The text is read out of a text file or entered directly. The user
% has to press a key to continue the program and the screen is cleared
% automatically.
%
% Usage: showInstructions(source, varargin)
%... |
50b243b62ed3a69065ab124bdc52f9e213fb1cddeb807636740ad2d9cd6e2fe7 | MATLAB | 12,067 | 446 | function [ZI,f] = spm_eeg_plotScalpData(Z,pos,ChanLabel,in)
% Display M/EEG interpolated sensor data on a scalp image
% FORMAT [ZI,f] = spm_eeg_plotScalpData(Z,pos,ChanLabel,in)
%
% INPUT:
% Z - the data matrix at the sensors
% pos - the positions of the sensors
% ChanLabel - the names of the sen... |
2615cd8c0c0a55130545a6c3fd4c1cd88be4d432de9ebb3c76b8d675239a5604 | MATLAB | 12,070 | 194 | function shuffle_population_vector_analysis(bayesian_option,num_shuffles,save_option)
% Marta Huelin_February 2020
% Computes population vectors between shuffled matrices for the same type of comparisons used in the population_vector_analysis.m code (meaning,
% between same track exposures and between different tracks)... |
984ba1f1dc05ea2d865f9d3c92b3d412dad855285a60eed24c83beeba1c17c22 | MATLAB | 12,084 | 290 | function SBJ08c_HFA_GRP_summary_bar_perc_actv_RT_ANOVA_ROI(SBJs, proc_id, an_id, stat_id, actv_win, roi_id,...
plt_id, save_fig, fig_vis, fig_ftype)
% Load HFA analysis results for active, RT correlation, and ANOVA epochs
% Active- must be significant, and f... |
d61936ed5ee9b72d04c4112e50b9ab0b041285cda626e927bc107688972a793f | MATLAB | 12,101 | 351 | % script that prompts user for mat, annotation, and movie files, parameters
% for computing suspicious frames, then computes suspicious frames, then
% brings up the fixerrors gui
RUN_UNTRACKED = 0; % run FixErrors with no Ctrax annotation
%% set all defaults
moviename = '180925_1_3_video.ufmf';
moviepath = pwd;
se... |
ee9f1fb20243821e57733f19509f6dfcd6df223e0df9a01c9dc81a6969d155e1 | MATLAB | 12,102 | 443 | %% add paths to plotting packages/data
clear all
addpath(genpath('/Users/maria/Documents/Matlab/cbrewer'))
addpath('/Users/maria/Documents/MATLAB/raacampbell-shadedErrorBar-9b19a7b')
EEGpreproc = '/Volumes/crdkData/preprocessedData/behaviour'; % path to behav data all subjs
cl = cbrewer('div','RdBu', 12);
cl = cl([2... |
6c7485795a4af0006b177d6452ba1f75815d18c8dc3c4ea89fbc5a79e6e1ff56 | MATLAB | 12,105 | 238 | %% calculate prediction accuracy within each network.
clear all
% Add package to read NPY files into matlab
addpath('/Users/askeller/Documents/npy-matlab/')
% fourth column has the matched_group
data_for_ridge=xlsread('/Users/askeller/Documents/Kellernet_PrelimAnalysis/RevisionAnalyses_PFNsCog/SeparateSamplesCogniti... |
061344d95f12459b93d8e0151d09b56e489d88fd5f2598a9da6ea096bfdfe540 | MATLAB | 12,107 | 363 | clear all
close all
dbeh_path='C:\Users\xscogno\MATLAB\Flavio2\Waves\Tracking data\';
rec_data_path = 'C:\Users\xscogno\MATLAB\Flavio2\Preprocessed_data\';
dpath_spikes='C:\Users\xscogno\MATLAB\Flavio2\Preprocessed_data\';
dpath_sorting='C:\Users\xscogno\MATLAB\Flavio2\Waves\Sorting\';
dpath='C:\Users\xscogno\MATLAB\F... |
c20854a26d9bd4b040af792122ed7c961db0e650314eb2e151b00e3a3a76ca03 | MATLAB | 12,137 | 260 | function [] = fun_updateFigures(handles, slice_idx, figureName)
%FUN_UPDATEMATRIXFIGURES Summary of this function goes here
% Detailed explanation goes here
% Set plotting parameters
marker_size = 2;
line_width = 2;
narrow_ratio = 1;
switch figureName
case 'G'
% update G figure
... |
07ac67024121289c9a4418b360e383740b435f1d28e7079e328cfd95fe8ac9e6 | MATLAB | 12,138 | 458 | function img = feldkamp(cg, ig, proj, varargin)
%|function img = feldkamp(cg, ig, proj, varargin)
%|
%| version modified by james balter and others to try accelereys "jacket"
%| UNDER DEVELOPMENT!
%|
%| FBP reconstruction of cone-beam tomography data collected with
%| a circular source trajectory.
%| See feldkamp_exa... |
9fce4957cf7f1d4516b51306b1229677f6dae9ecf9e5315bc7e2b5d09c9cd0f0 | MATLAB | 12,138 | 434 | close all
clear all
clc
addpath ../data
addpath NIFTI_toolbox
load Diffusion_vs_Age_WMlabels_mean_NODDI90_expanded.mat
% Labes of metrics analysed
lab = {'FA','MSD','MSK','NDI','ODI','F_{iso}'};
Nmes = length(lab); % number of metrics
Nsub = size(FA_wm_mat,1); % total number of subjects
age = age';
sex = sex';
% c... |
6edb793a141a9ca08f92476cc12d569ae35507e1df555d5341b19126cf263f11 | MATLAB | 12,139 | 326 | %% Script to create output for Fig. 1 - parameter comparisons between Young, healthy Elderly, MCI merged
% Andrea Castegnaro, UCL, 2022 uceeaca@ucl.ac.uk
% Fits the model on all of the groups and run a two-way Anova
% (group*condition) on Young Controls, Elderly Controls and MCI negative
% Output: for each parameter f... |
daa32246e99a934459c60930062bf438fba091f237e8c1c80ded1de0ee6bf261 | MATLAB | 12,141 | 353 | classdef SuhSptx < handle
% AUTHORSHIP
% Primary Developer: Stephen Meehan <swmeehan@stanford.edu>
% Copyright (c) 2022 The Board of Trustees of the Leland Stanford Junior University; Herzenberg Lab
% License: BSD 3 clause
properties(Constant)
BAD_KLD_FREQ=.0075;
LOG=false;
end
... |
32d0e2bdb33e4a65b8b8c68b9a156d9296a93d7a1ecbd771a03ef46ae67f85dd | MATLAB | 12,151 | 341 | % function MAP_fig_1_multi(mname,config)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% ################################################################# %% DESCRIPTION
% Script to analyse data for:
% Grieves et al. (2020)
% Quantification of firing rate map procedures
%
% This script
% NO... |
ea5b8fa55a8bfb51d881611bb964f63b4c74d9c1dcd42c87cce79f2470d8f9df | MATLAB | 12,164 | 406 | % Creates a bis_image data structure
% if fname is specifed then this is loaded from this
% debug is a flag (0 to 3) which controls how much printing is done
%
% Key Functions:
% load -- loads from a filename (.nii.gz)
% save -- saves to a filename (.nii.gz)
% getImage -- returns Image Struct... |
cb50b0131e932c7d9e6c235745431124507e4226518b302e610173f0a55460ce | MATLAB | 12,167 | 277 | %% Thomas_Yang_et al, 2023 @Nuo Li lab
%% Fig. 1i, performance with unilateral SC photoactivation with vglut2-ires-cre x Ai32 mice
clear all
close all
load Figure_1_i_data
perf_Raw_all = []
n_mice = 0;
for i_mice = unique(Session_type_allSession(:,1))'
n_mice = n_mice+1;
%% --------... |
8083a80f414aefb173758a90c9ce8a6cbf8d62d5f68352d868bce364d9730457 | MATLAB | 12,171 | 397 | clear all
% PARAMETERS
% =========================================================================
subs_parameters
% GET INPUT
% =========================================================================
% Ask for input
exittask = 0;
while true
getinput = 1;
clc;
while getinput
subID = input(sprint... |
45ed5be6aee336b2e97e3d3ad7056b8374881379aa34149d4faf7037375c887a | MATLAB | 12,191 | 453 | function ob = Gtomo_blob(mask, dim_data, varargin)
%function ob = Gtomo_blob(mask, dim_data, options)
%|
%| Construct Gtomo_blob object, for fast forward and backprojection.
%| INCOMPLETE, WORK-IN-PROGRESS!
%|
%| Currently handles 2D parallel and fan-beam cases.
%|
%| See Gtomo_blob_test.m for example usage.
%|
%| in
... |
67492a5132ee62ed1214488eec23c50280d4c4f6acfeeded294ab136c5c61fa0 | MATLAB | 12,223 | 467 | function [T, reuse] = Gnufft_gram(ob, W, reuse)
%|function [T, reuse] = Gnufft_gram(A, W, reuse)
%|
%| construct Toeplitz gram matrix object T = A'WA for a Gnufft object
%| in
%| A [M np] Gnufft object (Fatrix or fatrix2)
%| W [M M] W = diag_sp(wi) (often simply "1" or [])
%| W = Gdiag() for fatrix2
%| reuse str... |
1bfaf867eb781735df669a17d581090d589c66a35520ca7fe3ffe06ee6995fb2 | MATLAB | 12,227 | 266 | %% Plot preprocessed data for cleaning with Bob
% 1) Load preproc data (downsample, highpass, trim, notch)
% 2) Plot data to identify bad channels and epochs
clear all; %close all;
addpath(genpath('/home/knight/hoycw/PRJ_Stroop/scripts/_TOOLBOXES/'));
addpath('/home/knight/hoycw/Apps/fieldtrip/');
ft_defaults
SBJ... |
3d655780df1c5d84d86d957219fca5a2654c0e60a4dafa8d269d8d61713e9df0 | MATLAB | 12,230 | 199 | % SPIKE COUNT FOR BAYESIAN DECODING FOR THETA SEQUENCES
% Method to extract spike count using time bins based on theta phase.
% First,extracts theta phase during running and bins it. Then finds spike count for each phase bin.
% Finally, converts phase bin edges back to time and calculates spike count used in bayesian ... |
e72b9313b6e4295915f00222660aaf86eb5a85a39fc6ea1dbea2c98e95bca76e | MATLAB | 12,254 | 356 | % Script to plot Figure 7, calculate statistics reported, and save data to
% Excel spreadsheets that are then imported into the Source Data file.
% Kit Longden 2023.
addpath ../../src/Shared_functions/
% Figure properties
% -----------------
fig_h7 = figure(7);
set(fig_h7, 'color', 'w','Position',[1500 500 800 1000])... |
cfce90d9b22be19dd9a19491e181e7e6d211f99532a6849f99b8eaf158d1102a | MATLAB | 12,263 | 401 | function [M0_ml, M0_rls, T2_ml, T2_rls, ml_time, rls_time, cost] ...
= mri_spinecho_m0t2map_v3(y, TE, varargin)
%function [M0_ml, M0_rls, T2_ml, T2_rls, ml_time, rls_time, cost] ...
% = mri_spinecho_m0t2map_v3(y, TE, varargin)
%|
%| Penalized weighted least-squares T2 mapping from (single) spin-echo
%| image datasets... |
4b25dbb2a8128f9e1ae0764a8344b35337907a759c2aabe40443493f11844b08 | MATLAB | 12,275 | 218 | % PLOT DECODING ERROR ACROSS LAPS
% Uses information extracted with 'bayesian_decoding_error_exposures.mat' to plot median decoding error for each exposure(compared to same track other exposure or to another track's exposure).
% Plots for each rat, for each protocol, and a figure with all protocols overlapped (showing ... |
5bc4c0f9628f6526200b0e5467f2bf98765cd9a66646892032efd2d1c8f89d38 | MATLAB | 12,284 | 310 | function [SPM] = spm_fMRI_design(SPM,save_SPM)
% Assembles a design for fMRI studies
% FORMAT [SPM] = spm_fMRI_design(SPM)
%
% 1st level
%--------------------------------------------------------------------------
% SPM.
% xY: [1x1 struct] - data structure
% nscan: [1xs double] - nscan(s) = number of scans in s... |
61f6dca39fb0eae34c706532d9e596615421d08afeec1734970e7cf1039d1caf | MATLAB | 12,292 | 328 | function create_track_decodingError_figure
% CH1: DECODING ERROR - confusion matrices
cd 'X:\BendorLab\Drobo\Lab Members\Marta\Analysis\HIPP\Chapter 1\Decoding_error\figures\Track decoding error'
PORA8 = openfig('P-ORA_Day5_16x8_confusion_matrices.fig');
PORA4 = openfig('P-ORA_Day4_16x4_confusion_matrices.fig');
POR... |
8f1bf44084eec9c0510d30301d10f11f55bb0599684b3c6ab41b6aaa5990e55b | MATLAB | 12,336 | 105 | function trainOptimize(N)
% AUTHORSHIP
% Primary Developer: Stephen Meehan <swmeehan@stanford.edu>
% Math Lead & Secondary Developer: Connor Meehan <connor.gw.meehan@gmail.com>
% Bioinformatics Lead: Wayne Moore <wmoore@stanford.edu>
% Copyright (c) 2022 The Board of Trustees of the Leland Stanford Junior U... |
f29931e8c307741e0ee583df7aa70c9b3b206955439f0e325a0aacc9d72364e6 | MATLAB | 12,349 | 276 | function SBJ08f_HFA_plot_grp_GLM_onsets_ROI(SBJ_id,proc_id,an_id,model_id,stat_id,roi_id,...
plt_id,save_fig,varargin)%gm_thresh,z_thresh,
% Load HFA mGLM results to plot onsets of signifcant effects per ROI
% Also shows t-test for onset differences between ROIs
% INPUTS:
%... |
ac9407580514484d68149b10838b4cd10985a24f43127a8a332b153776d31def | MATLAB | 12,381 | 222 | classdef headModelViewer < handle
properties
hFigure
hAxes
hmObj
hFiducials
hLabels
hSensors
hScalp
hSkull
hCortexL
hCortexR
dcmHandle
roiLabels = {};
end
properties(GetAccess=private,Hidden)
DT = [];
... |
517161b6091da1130655cde106f78d10a2ebcedf78cbde87ec4b5180c2f56ee3 | MATLAB | 12,389 | 246 | close all;
clear;
load('V:\Yoshida_lab_shared_folder\Shared Data\Antonio\In vivo data\Babak\preliminary analysis\Space_bin\Space_bin_filt30Kalman.mat')%no return trajetories from T and goal
load('V:\Yoshida_lab_shared_folder\Shared Data\Antonio\In vivo data\Babak\preliminary analysis\Space_bin\GLchc_epoch10.ma... |
d430713f2bf1e8bf075f1d51a236a54893e842fce66232c66ec2bc3427c0583d | MATLAB | 12,389 | 304 | %% Manually scoring the participants trajectory
% In order to the model to fit the data the participant had to demonstrate
% a clear intention of completing the triangle.
% This did not happen all of the time and therefore we had to exclude some
% data. Also we noticed by looking at the tracking data that participants
... |
12e2b9e5ad8f7770a80b7aee3f803754ddfcb208cd33c4de9b8238d1c2bfc99d | MATLAB | 12,411 | 458 | function varargout = boundedline(varargin)
%BOUNDEDLINE Plot a line with shaded error/confidence bounds
%
% [hl, hp] = boundedline(x, y, b)
% [hl, hp] = boundedline(x, y, b, linespec)
% [hl, hp] = boundedline(x1, y1, b1, linespec1, x2, y2, b2, linespec2)
% [hl, hp] = boundedline(..., 'alpha')
% [hl, hp] = boundedline(... |
8416506ced371acb1bc9f806bea0c0b456af8419f29002809ed50a674e5afc42 | MATLAB | 12,413 | 253 | %% Run one-sample t-test & extract eigenvariates from ROIs
% (c) Carys Evans, UCL
% carys.evans@ucl.ac.uk
% October 2019
%This script requires SPM12
%Run this script on the smoothed normalised emag files. This script runs a
%one-sample t-test on the E-field magnitude images. The script also
%extracts the eig... |
fb265f6d5efba43c575b44fdb9863c2f2ce661a4f5b6588a87306a795eadac5f | MATLAB | 12,413 | 415 | % source code to produce analytical predictions
% for 2d fast variance predictions paper for IEEE.
%
% Empirical and FFT_based predictions are computed and saved
%
% Copyright by Yingying Zhang-O'Connor, University of Michigan 2006
clear
clc
% -------------------------------
% set up parameters
% --------... |
f3eb5b9ee34ec4478c69be8cda8787bef584f5717eb7a826ae7cbf8197aad044 | MATLAB | 12,437 | 349 | %CREATECALIBRATIONMAP Creates a voltage-position calibration map.
% This file creates an artificial calibration map using simulated camera
% data. Can be easily enhanced providing real camera images with the
% corresponding voltage maps.
% program modes: [1, 2, 3] => [acquisition, evaluation, simulation]
acquisition =... |
7799bda8d90de164fc7eedf1cb2f7b57260c206f69bcb22e9f7da582643dfd95 | MATLAB | 12,447 | 273 | % CONTROL THETA SEQUENCES: CORRELATION PLOTS
function control_correlations
data_folder = 'X:\BendorLab\Drobo\Lab Members\Marta\Analysis\HIPP\Chapter 3\Theta sequence scores';
load([data_folder '\session_thetaseq_scores.mat'])
load('X:\BendorLab\Drobo\Lab Members\Marta\Analysis\HIPP\Chapter 3\Theta sequence scores\t... |
a12553992471229e4028cfe2ce8b1d2762ce32cb1923287b0b50e8668d8a0f4d | MATLAB | 12,453 | 414 | %%
addpath(genpath('/home/users/attialex/AlexA_Library'));
addpath(genpath('/home/users/attialex/spikes/'));
%% find sessions based on table
%session_info=readtable('/oak/stanford/groups/giocomo/attialex/NP_DATA/session_summary.xlsx');
session_info=readtable('/oak/stanford/groups/giocomo/attialex/NP_DATA/AA_sess... |
6b4c5f02e34b448b56a2071c70d14a0620d71b5fdb97f673942bda43daa17513 | MATLAB | 12,461 | 298 | function [results,CondTable] = RunStaircase(cueQuint,cueTarg,nrStaircase,nrTrials,nrReversals,ScreenCol,fs,SwitchKbWait)
%
% Determining detection threshold of gap detection in a stimulus with the Psychtoolbox
%
%
% Input:
% cueQuint = standard stimulus of 2 quintets; at each staircase level
% cueTarg... |
8392444fe7c6acdbe25770330e69f27f8a623a5c548abedb139a474793c6efd6 | MATLAB | 12,482 | 366 | function [QA] = NWB_QA_graphs(nwbAll,units, is_sternberg)
% NWB_QA_graphs Generates behavioral and spike sorting metrics used in the SB
% data release.
% nwbAll: A cell arrays containing all nwb files in the dataset
% units: A units struct created using NWB_SB_extractUnits
% is_sternberg: 1 or 0 logical if stern... |
29ccf7a7496e1e19eed63ac7c85a477d00ea1577067bc2a0fc95308c21c93a4c | MATLAB | 12,484 | 244 | % CHAPTER 1 PIPELINE
% Marta Huelin
function chapter1_pipeline(section,computer)
if isempty(section)
section = 1:1:4;
end
%%%%%%%%%% REMAPPING
if any(ismember(section,1))
% Population vector analysis with shuffle for global remapping (there's code for rate remapping shuffle not being used curren... |
c40f8f81667a9d6bf2136e8b66737fb11df2e9e082d159ac3fccfcac5cf03b08 | MATLAB | 12,494 | 501 | function [data, coord, dims] = fld_read(file, varargin)
%function [data, coord, dims] = fld_read(file, options)
%| Read data from AVS format .fld file.
%|
%| options
%| 'dir' '' prepend file name with this directory (default: '')
%| 'raw' 0|1 1: return raw data class (default), 0: return doubles
%| 'slice' int specify... |
af7fe3261ad6b3527a18fcd070f72b5c712d7144250ed809db67f2bf6b457614 | MATLAB | 12,501 | 314 | % Script to plot Figure 2, calculate statistics reported, and save data to
% Excel spreadsheets that are then imported into the Source Data file.
% Kit Longden 2023.
addpath ../../src/Shared_functions/
% Figure 2 properties
% -------------------
fig_h = figure(2);
set(fig_h, 'color', 'w','Position',[1500 500 800 1000]... |
379ce01d53a8f9a1b163bda86d6cd863f2737deac66edcef759fa86aca82e0a4 | MATLAB | 12,510 | 340 | function METriggers_M1(sesDir,rootDir,outDir,wi)
%% input:
% sesDir session directory
% rootDir data root dir
% tsDir rootDir of time-stamps
% outDir output
% wi width of smoothing kernel
%% LOAD ME DATA
sesDir_raw = strrep(sesDir,'M1_','le_');
... |
edbf194ebc8b33cccb28ea0510db96b7230835560bdf2619ba5b008f7d2dcab1 | MATLAB | 12,519 | 310 | function [pred_bins, pred_xy, post, px, py, model, R_all, edges_all, gt_bins, gt_xy, gt_x, gt_y, t_mid, x_error, y_error, err_euclid] = decode_position_from_ratemaps( ...
Data, CellSel, DecodeWindows, BinSize, x_dim, y_dim, RateMapsIn, varargin)
% DECODE_POSITION_FROM_RATEMAPS
% Bayesian XY decoding using *ext... |
f1e85bd7d08057887904fe8fe131cf97c995f9984f11efbb97ae7d3bc479e0d8 | MATLAB | 12,522 | 429 | function [age,bestIter] = matchIterationToAgeSegregationExperimentScore(obj)
disp('Deprecated, use matchIterationToAgeSegregationExperimentDist.m')
assert(false)
% We use Dans parameters as starting points for nlinfit
[WTfit,B2KOfit,SCsize] = obj.getDanSegregationFits();
% These files are for the AP... |
aeb484b1669ec834f47f1ceccf75fe252155754b0841f0f49ce8df9c2808129a | MATLAB | 12,528 | 244 | % CHAPTER 1 PIPELINE
% Marta Huelin and Masahiro Takigawa, 2023
function place_field_analysis_pipeline(section,computer)
if isempty(section)
section = 1:1:4;
end
%%%%%%%%%% REMAPPING
if any(ismember(section,1))
% Population vector analysis with shuffle for global remapping (there's code for rate... |
04308d58e2547f02bbadc302248472328c4eba4d7892447e4545cf4dd7eb1548 | MATLAB | 12,563 | 377 | %% Figure 4f
% this script rungs additional analysis required for the plots of figure
% 4f.
%%
clear
ft_defaults
rng('default');
%% - SUBJECTS - %%
% ID 18 missing because of LP at 50Hz
subjects = {'OSL13', 'OSL14', 'OSL17', 'OSL21', 'OSL24', 'OSL26', 'OSL27', 'OSL28', ...
'OSL29', 'OSL30', 'OSL31', 'OSL32', '... |
d2e7904ac308262ff3c5e623fe8dd5c3ad27ffa8c7906fb4384dd5cc152cc194 | MATLAB | 12,572 | 392 | function findArtifacts()
[filename,pathname] = uigetfile({'*.tif';'*.TIFF'},'Open file', 'MultiSelect', 'off');
fileName=fullfile(pathname,filename);
scrsz=get(0,'ScreenSize'); text_si=18;
set(0,'DefaultAxesFontSize',text_si,'DefaultFigureColor','w', 'DefaultAxesTickDir', 'in','DefaultFigureWindowStyle','normal',..... |
408b3f048572c2167f41f57a6948fb3d7a47d30c9d6216e9201c0e61927b1017 | MATLAB | 12,624 | 444 | function wt = Rweights(kappa, offsets, varargin)
%|function wt = Rweights(kappa, offsets, [options])
%|
%| Build "weights" for roughness penalty for regularized methods.
%| Intended to be used internally by roughness penalty object Reg1.
%|
%| General form of roughness penalty:
%| R(x) = sum_{m=1}^M sum_n w[n;m] pote... |
7ccd72b083b8f9003c47aa2a5cd7d0a4143740cf9e024809006175f3bc832817 | MATLAB | 12,631 | 410 | function truesize(varargin)
%TRUESIZE Adjust display size of image.
% TRUESIZE(FIG,[MROWS NCOLS]) adjusts the display size of an
% image. FIG is a figure containing a single image or a single
% image with a colorbar. [MROWS NCOLS] is a 1-by-2 vector that
% specifies the requested screen area (in pixels) that t... |
516b086f58e082380b7ef5627f1a03e8386c3a27037af3d8d13f78ba8a351f3c | MATLAB | 12,682 | 413 | function h = c_fig_arrange(varargin)
% c_fig_arrange - arrange one or more figures
% Makes it easier to quickly visualize data spread across multiple figures with options such as tiling
% sets of figures across specified monitors, etc.
%
% Possible general actions include: 'maximize','tile','show','close','link'.
% Ca... |
d30b499830cd0afc58f48ae2b43b43e8a53df6dc54cd80fb9da66a35a4afc8fd | MATLAB | 12,685 | 489 | % ABC rejection method
clear
tic
n = 1000000; % number of sample parameters from range
percenttoaccept = 0.2;
% Modes
mode = 0; % 0 - average of data points at a certain day
% 1 - finds the closest data point
% 2 - min of data points at a certain day
% 3 - max o... |
20eb23af5566b6b566030e04e4fb9224bf27a535800eb61650a66cee56f6dc0b | MATLAB | 12,694 | 468 | % This function takes a RetinalMap object and returns the results
% from the Willshaw grid analysis
%
function [results,figHandles,P] = willshawGrid(obj,fakeID,projType)
if(~exist('obj'))
disp('Did you forget to specify the RetinalMap object?')
results = [];
figHandles = [];
return
end
if(~ex... |
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