sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
38309e733ec0b941323b4a5def33da0f1f5bc4e28eb87b21aeb31ab4d9ba0c17 | MATLAB | 3,161 | 97 | function OnePhase190514
%ƒ^ƒbƒ`ŠÔ‚̈ʑŠ‚ɂ‚¢‚ÄCx‚Æ98‘ŠŠÖ‚ðŒ©‚é
cd('C:\Users\C238\Desktop\CheetahWRLV20180729\119\2017-6-7_20-8-33 11901-51\OnePhaseFolder');
LS=ls;
OnePhaseLindexArray98=[];
OnePhaseRindexArray98=[];
OnePhaseLindexArrayCx=[];
OnePhaseRindexArrayCx=[];
for i=1:length(LS(:,1))
OnePhaseFL=s... |
3ac43807920cbb91f92e0c206107d98907f232fa01fd80e88ef7169d55b9de11 | MATLAB | 3,162 | 94 | function [spikeMatrix, peak_idxs, peakTimes_ms, classes, peak_vals, dip1, dip2 ]=comBIN_wave_clus(cluster,data,par)
sr = par.sr;
npointsbeforepeak=par.w_pre;
npointsafterpeak=par.w_post;
peakTimes_ms=cluster.cluster_class(:,2)'/par.sr*1000;
peak_idxs=uint32(cluster.cluster_class(:,2)');
clear index clear spikes
cla... |
212ceb24bc16897af2e88befca777e75e8b0130448299f710e088dbfa4eed619 | MATLAB | 3,165 | 130 | cd('I:\My Drive\ELYASHIV\PFC_paper_results_after_revision\DREEDDS_VS_CONTROL\effect_size_diff')
clear
clc
c = importdata("all_cells_control.mat");
d = importdata('all_cells_dreadds.mat');
%%
hedgesg = [];
is_res = [];
is_ie = [];
tag = [];
to_remove = []
for i = 1:size(c{1},1)
data = c{1}(i,:);
... |
5e81432430836caf564b9be49655fa012528a44b7562800b19f87ff4f7bedbf0 | MATLAB | 3,165 | 104 | %% VISUALISATION SCRIPT FOR CONNECTIVITY ANALYSIS
%preparing source matrix, target matrix and weight matrix
source_1=source;
target_1=target;
for i=1:length(source)
temp=[source(i) target_1(i)];
in1=find(target==temp(1,1));
in2=find(source==temp(1,2));
if isempty(intersect(in1,in2))~= 1
source(... |
8d77e003aa92075894f5436735749c9cf10c7e730f0f89605288965eb73010b8 | MATLAB | 3,165 | 80 | function plot_spikes_aux(handles, USER_DATA,plot_number)
par = USER_DATA{1};
spikes = USER_DATA{2};
spk_times = USER_DATA{3};
ls = size(spikes,2);
par.to_plot_std = 1; % # of std from mean to plot
axes_nr = par.axes_nr;
ylimit = par.ylimit;
class_to_plot = par.class_to_plot;
max_spikes = min(par.max_spi... |
a1645f7dbb837a02a546423f8986e5271bc0b24f76dc3e61ee58d10cd5070ef5 | MATLAB | 3,169 | 83 | [file, path] = uigetfile('*.mat','MultiSelect','on');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
datafile = fullfile(path, file); %save path
%%
mean_response = 1;
n=1;
plotting = 0;
%%
sugnificnt_cells = 0;
cell_num = 0;
for i = 1:length(datafile)
... |
c54396b53381f76ad4bfcb8f0ff731bda95cffd6d841c9cd93a0b455545f8f1c | MATLAB | 3,170 | 87 | clear all
[pl2_file,pl2_path]=uigetfile('*.pl2','Select all individual .pl2 files','MultiSelect','on');
datafile = fullfile(pl2_path, pl2_file);
%%
pre_time = 3; % time before onset to take in sec
post_time = 6; %time after off to take in sec
response_window = 120;
samp_rate = 1000;%samp in HZPF
%%
%RAMP LFP FROM PL2
L... |
c9b2f7599ab6427300f4e60df7b1728753c4d95256c88bf40fe329e0d11ef710 | MATLAB | 3,173 | 87 | function plotFigPos(hFigPos, hClust, hCfg, selected, maxAmp)
%PLOTFIGPOS Plot position of cluster on probe
c1Data = hClust.exportUnitInfo(selected(1));
if numel(selected) > 1
c2Data = hClust.exportUnitInfo(selected(2));
end
if ~hFigPos.hasAxes('default')
hFigPos.addAxes('default');
... |
59c6f2636bddb4f127cc0e4ce48fe5a75c7da5a9f3246f48bc5dbfa4efaa766d | MATLAB | 3,174 | 81 | function import_structures(jsonfile)
%% Import structures ontology from Allen Brain Map into Matlab
% Explanation of structures.level:
% % 2: regions, see structures.region
% % 1: groups, see structures.group
% % 0: the rest of the nodes
grouplist = {'Isocortex','Olfactory areas','Hippocampal formation','Cortic... |
1902b21acb3aaf83a9050987f41476d421ab92198e301a01f0e0fcff0d89d76f | MATLAB | 3,177 | 80 | function ANOVA
cd('C:\Users\C238\Desktop\touchcellLtRt_matsuda');
load('anovadata.mat');
Include3ArraySpike2=[];
NotInclude3ArraySpike2=[];
Include3ArraySpike3=[];
NotInclude3ArraySpike3=[];
Include3ArraySpike4=[];
NotInclude3ArraySpike4=[];
for a=1:length(LtRepeat5TouchSpike2FR_BinArray(1,:))
if ... |
e062772b820dc89943912b9fc2b1dd7723c7e22fc48c0bebf1d6a62b45f0e179 | MATLAB | 3,182 | 97 | function [index,xf,thr] = index_detect_pol(x,par)
% return the spike times within a channel
%PARAMETERS
w_pre=par.w_pre;
w_post=par.w_post;
ref = ceil(par.ref_ms/1000 * par.sr);
detect = par.detection;
stdmin = par.stdmin;
stdmax = par.stdmax;
awin = par.alignment_window;
if par.sort_order > 0
xf = filt_sig... |
8c4757cc3db269cf1f30176ad56c38feee5cb8e443b1702ebf06546eabb7354a | MATLAB | 3,183 | 123 | function newmap = bluewhitered(m)
%BLUEWHITERED Blue, white, and red color map.
% BLUEWHITERED(M) returns an M-by-3 matrix containing a blue to white
% to red colormap, with white corresponding to the CAXIS value closest
% to zero. This colormap is most useful for images and surface plots
% with positive and... |
6a6bcec8914049e5042c156ce3628c1a3c0d7a04815175011a16997ee6a41690 | MATLAB | 3,185 | 125 | function controlfilename = createLCmodel_control_svs(metabname,l1,l2,l3)
controlfilename=[metabname '.CONTROL'];
% create .CONTROL file for LCModel
disp(['Creating file ' metabname]); disp(' ')
if findstr('se_140',metabname)
te=140;
elseif findstr('se_30',metabname)
te=30;
else te=18;
end
do_water_scaling=1;
do... |
652c778b5f8285ba77bd4dbd81dec03c43ae877d38eb92ef0e7890f28fbcf755 | MATLAB | 3,189 | 93 | % info content similarity: the difference of av-err and iti-rand deocidng
% what we want to equalize is info content between av-err and iti-rand
% -> only measure those two
% -> quantify gaging with info content and use av-iti to demonstrate
% that the result of the gaging procedure gives low accs
%%
clear
p = par... |
08e83ac0bf0cb22f78ed3d9de99f0a175b160dcf9b74f7972fb01229df0bf690 | MATLAB | 3,190 | 136 | % close all
clear
clc
addpath(genpath(extractBefore(mfilename('fullpath'), 'PinkNoiseTest')))
fs = 250;
Minutes = 10;
nPoints = fs*60*Minutes;
MinCyclesPerBurst = 4; % minimum number of cycles per burst
% % Burst Thresholds for finding very clean bursts
% BT = struct();
% BT(1).isProminent = 1;
% BT(1).periodConsi... |
8fd3ae859c0b0e6d4befc01553cb0326257dfd849ed95be0487f838f5660cc41 | MATLAB | 3,193 | 89 | function varargout = Ragu_TTable(varargin)
% RAGU_TTABLE M-file for Ragu_TTable.fig
% RAGU_TTABLE, by itself, creates a new RAGU_TTABLE or raises the existing
% singleton*.
%
% H = RAGU_TTABLE returns the handle to a new RAGU_TTABLE or the handle to
% the existing singleton*.
%
% RAGU_TTABLE('C... |
7a9781d623c541f5ac1644f90541a0ddf302a9fe0f00a1d9791fc896f5a85f3f | MATLAB | 3,199 | 97 | clear
close all
clc
% load ECG1
% s = data;
load ECG2
s = data(5, 1:2*fs);
% s = randn(1, 10000); fs = 1000;
% load ECG3
% s = data(2, 1:end);
% addpath 'G:\Sameni\Documents\Papers\Journal 40 (Spline ECG Filtering)\CODES'
% pth = 'J:\ECGData\Arrhythmia';
% fs = 360;
%
% wd = cd;
% cd(pth);
% fname = '233';
% segs... |
31ba06613ff544b6ce81787b781f784723d3dac39ddcea466f8347b14292023e | MATLAB | 3,203 | 70 | function [muDeltaT, range] = getMuDeltaT(st, events, varargin)
% Computation of mean delta-t of unit cell-pair spikes.
%
% [muDeltaT, range] = getMuDeltaT(st, events, varargin)
% [muDeltaT, range] = getMuDeltaT(st, events, range)
%
% Description:
% Identify spike of n'th unit that is closest to specified even... |
84776103137de9a4648d07d4cb54ea4a004c9d3e497a5144a52d4898a95eb9e9 | MATLAB | 3,204 | 85 | function hFigWav = plotMeanWaveforms(hFigWav, hClust, maxAmp, channel_idx)
%PLOTMEANWAVEFORMS Plot mean cluster waveforms in FigWav
hCfg = hClust.hCfg;
showSubset = hFigWav.figData.showSubset;
if hCfg.showRaw
waveforms = hClust.meanWfGlobalRaw;
else
waveforms = hClust.meanWfGlobal;
... |
febf5927b2e6bf93ecb24b1f7f7c4b811f7c8facf6cc1f3d28f276573abe7c82 | MATLAB | 3,204 | 126 | function [estParams, LL] = myfastfa(X, zDim, varargin)
%
% [estParams, LL] = fastfa(X, zDim, ...)
%
% Factor analysis and probabilistic PCA.
%
% xDim: data dimensionality
% zDim: latent dimensionality
% N: number of data points
%
% INPUTS:
%
% X - data matrix (xDim x N)
% zDim - number of factors
%
% OUTP... |
bacad77c9fd05e0b7bf4179ae656b3a983e0aee8131f8877295fced23fb0d01e | MATLAB | 3,206 | 72 | function [data] = JT_processFP_clipthenprocess(data,params)
%Process Fiber Photometry
%
% [data] = processFP(data,params)
%
% Description: This function is designed to process fiber photometry data
% for the lab. The function performs demodulation (if selected),
% filtering, baselining, and downsampling ... |
bbc34db812ba88ae9901bad3271c09a9e1cbdc5e304262ace68d8350b0f81f15 | MATLAB | 3,206 | 123 | function [gdata, st, newData] = applyRetroMC_nufft_2D(kdata_in, alignMats, alignDim, alignIndices, useTable, dataDims_mm, fullMatrixDims, kspaceCentre, cgIterations, oversampFactor)
% rehash of main function to work on simulated 2D data
%
% This is a bit 'quick-and-dirty' implementation, but as 2D is so much
% faster t... |
4e62e0c7dd5252cd91a0dbf7535d305b26182194049fe3b105708fc93ddab62a | MATLAB | 3,207 | 79 | %% load and prepare the data
clear
clc
close all
cd('I:\My Drive\ELYASHIV\PFC_paper_results_after_revision\DREEDDS_VS_CONTROL\new_IR_calculations\test_mixed_effect_models')
load("all_cells_with_tages_and_cell_idx.mat")
% load("all_cells_before_after_fit_parameters_DREEDDS.mat")
% load("all_cells_dreadds.mat")
%... |
8225276ac0d64208dde477171e07aa49e6c81da384376caafad2cf522d15bfec | MATLAB | 3,208 | 86 | function v = logdet(A, op)
%LOGDET Computation of logarithm of determinant of a matrix
%
% v = logdet(A);
% computes the logarithm of determinant of A.
%
% Here, A should be a square matrix of double or single class.
% If A is singular, it will returns -inf.
%
% Theoretically, this f... |
818dc3d8d97aab5878aacd37a52dd2c74f9a2a73d1c65b2e74617e57e7d7427b | MATLAB | 3,213 | 86 | %%devide_cells_by_aria
clear
clc
%%
%save only Intensity encoding + IR
row_names = {'total'; 'responsive'; 'IR'; '%_reponsive'; '%_IR' };
[file, path] = uigetfile('*.mat','MultiSelect','on');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
%%
datafile = f... |
a6e22a76780914fcd6712abe5658c8cdf6c3e11d7573dc90d848dd35764cfea9 | MATLAB | 3,217 | 102 | % This script conducts a time-frequency analysis across the entire EEG
% recording. The next script will then epoch the data. A special thanks to
% Sven Leach and Maria Dimitriades for the script for the wavelet
% transformation.
clear
clc
close all
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
3379a3b52feeb23330445a90dd955fdc65f5a4b80152c2d8e37da7d565ae986d | MATLAB | 3,219 | 101 | function [bse,CI] = rst_bootse(varargin)
% Computes the bootstrap standard error
%
% FORMAT [bse,CI] = rst_bootse(X,estimator,nboot,q)
%
% INPUT X is a vector or a matrix, in this case HD estimates are computed column-wise
% note that matrices can contain NaN - and this is accounted for
% estimator s... |
d2a94a97b5c0f63e57b6acd7a50d226986a86552a965142a71ec96636d11d0e1 | MATLAB | 3,219 | 88 | function [centers, logRho, zscores] = detrendRhoDelta(hClust, spikesBySite, fLocal, hCfg)
%DETREND Detrend rho-delta plot to identify cluster centers (high rho, high delta)
logRho = log10(hClust.spikeRho);
delta = hClust.spikeDelta;
if fLocal % detrend for each site
rhosBySite = cellfun(@(spike... |
25001490ef906b508be5567342a286e881d81c21ab0ac9e22449fd6f74c6c72a | MATLAB | 3,220 | 111 | function fs_roi_overlay(roi_csv)
% FS_ROI_OVERLAY Create a surface overlay from ROI results
% Map scalar values for each label ROI in the Destrieux atlas
% to a Freesurfer curvature overlay for use by Freeview
%
% AUTHOR : Mike Tyszka
% PLACE : Caltech
% DATES : 2019-07-16 JMT From scratch
% 2019-07-18 J... |
7a06d494aeff5641cb6d514bb640c84e14bb21310d7311edf946ecb99b2563dd | MATLAB | 3,220 | 127 | function f= get_coresponding_water_ref(rawname)
if isstruct(rawname) % this is a matlab fid struc
ff = rawname;
name = ff.sujet_name;
exam = ff.examnumber;
if strcmp(exam,'E1'), exam='';else exam=['_',exam]; end;
region = [nettoie_dir(ff.SerDescr) '_ref'];
if ~isempty(findstr(ff.SubjectID,'DYSTO... |
b182fb267de2e8b3b5e0dd7304036d186ee6d63fdf600f7c14d010dcf282c62e | MATLAB | 3,223 | 86 | function [y, W, A] = periodic_component_analysis(x, peaks1, varargin)
% periodic_component_analysis - Pseudo-Periodic Component Analysis (PiCA).
% Extracts and ranks sources in order of resemblance with
% pseudo-periodic events (such as ECG) with one or two sets of cyclic
% peaks, from multichannel data
%
%... |
262de0e39b549feefec92654a624d077f3168e56a073d774191a143d0a4ef392 | MATLAB | 3,230 | 111 | %% PLOT PSTH BY STUFF like aria
[file, path] = uigetfile('*.mat','MultiSelect','on');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
datafile = fullfile(path, file); %save path
shift = 0.116;
pretime = 3;
shiras_shift = 1.1;
binsize = 0.01;
%% create a t... |
b04e229fc5b59eefb7bde08557c0eac31489e9f4920639d6fbbe054c3729408b | MATLAB | 3,232 | 114 | function [meanimg,stdimg] = spmup_basics(P,varargin)
% routine to compute a basic mean and std on a trime series
%
% FORMAT out = spmup_basics(P,operators)
%
% INPUT P is a string of images to use
% operators can be 'mean' 'std' (or both)
%
% OUTPUT name of files om the drive
%
% Cyril Pernet
% ----------------... |
98d9d038cd1c00225f038053ff4b4bd9f678e83673bc9e2dae270fbd9a25dbd0 | MATLAB | 3,236 | 63 | function [FinalIm,ActualComp,datestamp] = MakeIncompleteLetterFun(ImWidth,ImBorder,ConInc,CheckSize,WhichLetter);
% [FinalIm,ActualComp,datestamp] = MakeIncompleteLetterFun(ImWidth,ImBorder,ConInc,CheckSize,WhichLetter);
%
% function to draw a single incomplete letter
% needs inputs of ImWidth (image width in pixels), ... |
e9686aa7f15591121ab532dd9b9f76fa5af75d007280d416ed177a90be5338e2 | MATLAB | 3,238 | 98 | function res = mergeUnits(obj, spikeClusters, mergeTargets, mergingUnits, metadata)
%MERGEUNITS Speculatively merge a pair of units, returning a snapshot of
%the spike table and metadata fields.
if nargin < 5
metadata = struct();
end
res = struct('spikeClusters', [], ...
'me... |
9b54620bde607c5b308a05643cd1942628515ff2fe4958c4f66a9ba2da3eebf2 | MATLAB | 3,242 | 136 | close all;
clear;
clc;
% parameters
subject = 'Dog_2';
number1 = 1;
number2 = 4;
path = '';%['J:\Seizure\' subject '\'];
mode1 = 'interictal';
mode2 = 'interictal';%preictal';
ch = 1:16; % desired channels
time = [8 10]*60; % in seconds
nfft = 5000 - 1;
SpectralWinLen = 10; % in seconds
SpectralOverlapPercentage = 50;... |
7d6f923a2466bcadd95478cc4116cf22c269698907bcd1d0a24e88f518b8d623 | MATLAB | 3,245 | 113 | function [P, Q, R, S, T] = ecgWavesSoI_k(ecg, Rpeak, RRf)
%
% 'knot based' version.
% This function approximately finds the peaks and borders of the Q and T waves
% in the input ECG signal.
%
% Inputs:
% ecg: Single channel ECG signal
% Rpeak: R peak positions
% RRf: R-peak referenced flag; if true, R p... |
7d65035196c1b7c356b5a431404eb3a1a0c1e6f1a8201fcad0c7303ac174228e | MATLAB | 3,247 | 129 | function KLexcel20190626
global dpath dpath3
% cd('C:\Users\C238\Desktop\CheetahWRLV20180729\119\2017-6-7_20-8-33 11901-51');
% dpath=('C:\Users\C238\Desktop\CheetahWRLV20180729\119\2017-6-7_20-8-33 11901-51\');
% dpath3=('C:\Users\C238\Desktop\CheetahWRLV20180729\119\2017-6-7_20-8-33 11901-51');
cd(dpath3);... |
09e53e46f3053bf3dc9bca1fd7d9177fd8de699a8d5a497c797090da2beb3802 | MATLAB | 3,254 | 71 | % This file is a demo for testing the EMG analysis/quantification functions
% This function is produced by Esmaeil Seraj (esmaeil.seraj09@gmail.com)
%
% Dependencies: Functions "bdf2mat_main.mat", "emg_onset.mat",
% "emg_quantification.mat", "BPFilter5.mat", "BaseLine2.mat"
% and "sig_tren... |
579202bb762233cf3b2e984f9790293369cc65f9a54004ac1e025f0087ed8b43 | MATLAB | 3,255 | 84 | % Copyright 2024 Eelke Spaak, Donders Institute.
% See https://github.com/Spaak/rift-phase-and-visibility for readme/license.
% Belongs with:
% Spaak, E., Bouwkamp, F. G., & de Lange, F. P. (2024). Perceptual foundation and extension
% to phase tagging for rapid invisible frequency tagging (RIFT). Imaging Neuroscie... |
5202c26573ff0994ac6cd6b8daaa0c58056c89d415b9664fc8cc9a461ee4a798 | MATLAB | 3,258 | 92 | % Plot Raster Sorted by Activity Rate:
% AR=Active Frames/Total Frames by Condition
% Run after Selected Conditions
% Input
% R_Condition: Cell of ACtivity Matrices
% Condition_Names: Cell of Condition Strings
% fs: Sampling Frequency
% SortingIndex: (Optional) Sorting cell index
% Conditi... |
f34c52c9966a7b322530e4d7259b3a9dc11ca61119873e94aff8c2e028e6d43e | MATLAB | 3,263 | 104 | function Stats = anova2way(Data, FactorLabels, Factor1Labels, Factor2Labels, StatsP)
% runs a repeated measures anova on data in the form of: P x m x n
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% set up data
% remove all data listwise if there are missing values
% remove whole tas... |
fe336ec4f236e2a4e1d4299d77e3606228dba38ccfb3ed9d49ea752ce7ac20f0 | MATLAB | 3,265 | 99 | function success = splitPoly(obj, hFig, shift)
%SPLITPOLY Draw a polygon or rectangle around points in a feature
%projection and split off a new cluster.
success = 0;
if numel(obj.selected) > 1
return;
end
iCluster = obj.selected;
if shift
hFig.addPlot('hPoly', @imrect... |
dee30fdb0fb4fdac5722b0d7e85266d8cd761cd6b9d09d7dc9b85190b6566906 | MATLAB | 3,268 | 113 | function remain = assignopts (opts, varargin)
% assignopts - assign optional arguments (matlab 5 or higher)
%
% REM = ASSIGNOPTS(OPTLIST, 'VAR1', VAL1, 'VAR2', VAL2, ...)
% assigns, in the caller's workspace, the values VAL1,VAL2,... to
% the variables that appear in the cell array OPTLIST and that match
% the ... |
fdb3375fdab89b4572346c7a81aa7fd0a122c2aa594a8a4455c4cc0512d95f72 | MATLAB | 3,268 | 126 | function project_point_set(points,varargin)
%PROJECT_POINT_SET Use projection to illustrate a point set of S^2 or S^3
%
%Syntax
% project_point_set(points,options);
%
%Description
% PROJECT_POINT_SET(POINTS,OPTIONS) uses projection to illustrate a point set
% of S^2 or S^3, represented by the Cartesian coordinates POIN... |
0dd467fc2b82c73dd61ab4ab851f6286d7ee2b2ad65553d3937634a711e11629 | MATLAB | 3,269 | 93 | clear
clc
%%
[file, path] = uigetfile('*.mat','MultiSelect','on');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
datafile = fullfile(path, file); %save path
p = 0.05; %pvalue
numofint = 4; %number of intensities to check for response
mkdir (['significa... |
cf2f944f1df8792fee5076394dee18df8df8dea543f52d1bc3ee59fc19410d4d | MATLAB | 3,269 | 76 | %Step 3 of CBIG Kong2019 Brain Parc Pipeline
%
%To run: 1. Open Matlab using salloc (ex: `salloc --mem-per-cpu 6G --time 2:00:00 --x11`)
% 2. source your config file containing the $CBIG_CODE_DIR variable
% 3. `cd` to the $CBIG_CODE_DIR/stable_projects/brain_parcellation/Kong2019_MSHBM/step3... folder
% 4. `cp` thi... |
2714a2f6013114274c9aef3dc3be90ae0acad03f951b739d005a7baa7e5df23d | MATLAB | 3,273 | 106 | function mnl_ImagesOfClusters(efPxTrace,dim,Clusters,ChosenClusters,ScaleFactor)
%Specify the new dimensions
NewDim=[round(dim(1)*ScaleFactor) round(dim(2)*ScaleFactor)];
%White Background
BW=ones(NewDim(2),NewDim(1),3);
%% Draw in all the traces
%Get all the Points
nTrace=size(efPxTrace,2);
VxList=[];
disp('Drawing in... |
53f70b5ac9de6333245f238d189241b7af492c95713b70655ab0ff46deb42c88 | MATLAB | 3,273 | 122 | function newmap = bluewhitered(m)
%BLUEWHITERED Blue, white, and red color map.
% BLUEWHITERED(M) returns an M-by-3 matrix containing a blue to white
% to red colormap, with white corresponding to the CAXIS value closest
% to zero. This colormap is most useful for images and surface plots
% with positiv... |
205fbb3ee4897be57ec5c9642047589365a552ec5a8337f172c814fad8c7a2cb | MATLAB | 3,276 | 92 | function [ECGmean, ECGsd, meanPhase, ECGmedian, SamplesPerBin] = avg_beat_calculator_phase_domain(x,phase,bins,flag)
%
% [ECGmean,ECGsd,meanPhase] = avg_beat_calculator_phase_domain(x,phase,bins,flag)
% Calculation of the mean and SD of ECG waveforms in different beats
%
% inputs:
% x: input ECG signal
% pha... |
538e46b8bcf19fb4897f7b6a0ce1c12334e22247206f16479d85f5fa8cc66ebb | MATLAB | 3,276 | 78 | function [] = batch_pcs(sis,MAXD)
%% prep
t = clock;
LIST_SBJ ={'Subj001_AAA', 'Subj002_BBB', 'Subj003_CCC'};
list_sbj = {LIST_SBJ{sis}};
path_local = '/PATH/TO/LocalDIR/';
%% param_in
%{
param1. zero prediction error threshold of SPE
param2. learning rate ... |
6f447fc3cbf28d44c6c32dc77aa778672fcb64b002ad744ea0f5fe4d58a1f5d1 | MATLAB | 3,280 | 94 | function tera20190612
global EnveRLPhaseTM EnveCCresultSpikePro tfile
nanEnveRLTM=isnan(EnveRLPhaseTM);
K=find(nanEnveRLTM==1);
if length(K)<100;
[pksRL locsRL]=findpeaks(EnveRLPhaseTM,'Minpeakdistance',40);
[pksCC locsCC]=findpeaks(EnveCCresultSpikePro,'Minpeakdistance',40);
ArrayRL=[];
for j=1:length(locsCC... |
80aac2ab26ac7c36ef466d967754ecb33526c2d5093af1e92a02d4af9d61b0b1 | MATLAB | 3,281 | 109 | clear, close all
load noise_data.mat
load noise_measures.mat
%% Prepare figure
f = figure(1);
f.Position = [20 20 600 800];
f.Color = [1 1 1];
t = tiledlayout(3,2);
scale = 1e6;
% Top
ax1 = nexttile;
set(gca,"LineWidth",1)
plot((noise_25mV.time-10),noise_25mV.I*scale, 'LineWidth', 1, 'Color', '#F5266D... |
88040f0e9f1a5cf92bcac63ebd01cdeea0de86142f7c4a1944e66d9a521ef822 | MATLAB | 3,282 | 83 | % Script to quantify the amount of movement during the eyes open / eyes
% closed task with and without the presence of EEG.
% Zelekha Seedat
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Housekeeping
clear all; close all;
addpath('R:\MATLAB\OptiTrack');
% Choose directory to sa... |
aa1a5f9600fa9845766b82305d0e3167eb2462d22fd2efa624f5fd297db326f5 | MATLAB | 3,282 | 100 | % plot beefore and after from all data
clear
clc
ploting =1 ;
window = 2; %(on, sus, off)
sus_window = 65:125;
%%
[file, path] = uigetfile('*before.mat','MultiSelect','on');%When the user clicks the load psetion button, a window should open to enable the user to select a file.
cd(path)
datafile = fullfile(path, file); ... |
16f667bed1e0152336133c0359a75312042302817309d4998f149650486402bd | MATLAB | 3,285 | 91 | clear
p = params_2DAA;
fpath = fullfile(p.processed_data_dir,'allData.mat');
load(fpath,'evs','tis','bvs','traces')
[cols,alpha] = chooseColors;
%% run DR and decoding procedure for different trial samples
fpath = fullfile(p.data_dir,'identification_of_avoid_dims');
saveData = 1;
saveFigs = 1;
n_rep = 80; % 110s
n_dc_... |
7ce294703ba24a65825f8fab56a5e7ced8a98a112bdc0fa3f8e18d5c48735be0 | MATLAB | 3,287 | 122 | close all
clear all; clc;
load current_p0
load current_p200
load current_p400
load current_p600
load current_p800
load current_p1000
dif_ar= [];
set(gca,"Colormap",jet)
zero = current_p0(1:2:end,:);
zero_ser = current_p0(2:2:end,:);
zero_mean = sum(zero(:,50:60),2);
zero_mean_ser = sum(zero_ser(:,50:60... |
3c750478fbfd186ace794f519db7a8c4052e640d9c50a6205aa10129dbaa7f3c | MATLAB | 3,288 | 77 | % close all
[ surfaceFaces, surfaceVertices ] = stlreadNonCleaning("Data/Models/leafAndDragonfly.stl");
surfaceVertices = surfaceVertices - mean(surfaceVertices);
surfaceVertices = surfaceVertices * roty(0);
surfaceVertices = surfaceVertices/ 500;
figure
% set( gcf, 'position', [ -3494 ... |
fcd40e8ec7f044f442700ef26d37c6f7f8889f778ac2f34dc4b95223fda0b467 | MATLAB | 3,288 | 110 | function indexCell = downsampToMatch(varargin)
% Randomly subsample from multiple vectors in order to achieve matching
% distributions.
% Inputs:
% optional number of numeric vectors
% optional Name,Value pairs:
% 'resolution' - resolution of how tightly to match distributions. Defaults
% to that found by histcoun... |
3d847dbb03583f54e9ef531dd14a3c7473034f8f7eb60cfd4e7e59e6b80416ca | MATLAB | 3,289 | 69 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% The following code checks for the relevant MEX files (such as .mexa64
% or .mexglx, depending on the machine architecture), and it creates the
% mex file if it can not find the right one.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
a7a6f02912c93d3d686438c9375fcee0e774e6c856fb714829eb1d164f621a85 | MATLAB | 3,290 | 125 | % First find beads (ROI) make sure that this is acceptable before moving on
% to the next step.
function [rois] = find_peaks(cdata, map, ROIspan, sigma, closefactor, edgebuf, warp_cut)
%% Find peaks and display their location
grayImage = cdata;
maxlim = max(max(cdata));
clims = [1 maxlim];%Specifies the limits for the... |
0dc18194387b8030cf5baa2187ace39261d5bcf1992648194872b09a7216d2ba | MATLAB | 3,291 | 82 | classdef pointer_resp < handle
%POINTER manages the data to display and the rwaves to display
% Detailed explanation goes here
properties
start_idx
stop_idx
dspl_strt_idx
dspl_peak_idx
pre_idx
post_idx
dur
ax_1
ax_2
leng... |
25406dc6df16ffd798f674d33e83bc26f555dca261736fbf9f44751dcfb723ac | MATLAB | 3,292 | 99 | function [weights, trainerr] = cnntrain_inv_mat(layers, weights, train_x, train_y, params)
params = setparams(params);
assert(length(layers) == 2);
assert(length(weights) == 2);
layers{1} = cnnsetup(layers{1}, 0);
if (~iscell(train_x))
layers{1} = initact(layers{1}, train_x);
else
layers{1} = initact(layers{1}, t... |
057f89c1b99c8401b3ffe89efcf3dbe4fe98c160e7815800c62ee5245f6434b3 | MATLAB | 3,293 | 102 | function M = mz3_read(filename)
% Read MZ3-formatted data from disk
% FORMAT M = mz3_read(filename)
%
% filename - MZ3-formatted file name
% M - data structure
%__________________________________________________________________________
%
% MZ3 Format Specification:
% https://github.com/neurolabusc/surf... |
34d70c159dacb9e5792041df9695ef5ed6f8f305fc8b6e7edcee81719bbf8150 | MATLAB | 3,293 | 68 | % Cardiac model ToR-ORd
% Copyright (C) 2019 Jakub Tomek. Contact: jakub.tomek.mff@gmail.com
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the Licens... |
7522552ab44f104ae575b3a7e4a11d36a91a2dc459bf4e9c6dd208a095aedfdc | MATLAB | 3,294 | 78 | function [OriginalArray1,OriginalArray2,ModifiedArray1,ModifiedArray2]=Modify_Events(WaterOnArrayOriginal,WaterOffArrayOriginal, StartTime, FinishTime, EventName)
%àÆàÆWaterEvents̽ßÉ쬵½ÌÅϪwaterÖWÉÈÁÄ¢éªA¼ÌEventÉàgpBFloorTouch,Drink,,,
%WaterOnArrayÍAÅÆÅãâf[^²¯ÈÇ... |
86871dad2f3b91b344b9248c8ca9abd5d19e0d90b610e4d397a9fdd8a99209d8 | MATLAB | 3,299 | 91 | %% save all_data files to breain render table
% A map showing the (14) cells that are transient light-responsive, (15) cells that are sustained light-responsive, (13) cells that are both transient and sustained light-responsive, and (16) all recorded cells.
% A map showing the (11) cells that are transient intensity-... |
dd84dfc5c2bb516a62e23bce10f8c2eb13c60fdc01b49fac1080f454da202ebd | MATLAB | 3,299 | 97 | function [Data, TimeEEG] = sync_eyes(EEG, SyncTrigger, Pupil, DiameterColumnName, Annotations)
% synchronize pupil data to EEG data based on first trigger in Annotations
% EEG is an EEGLAB data structure.
% Trigger0 is a string of the first trigger type in annotations
% Pupil is a table with the timestamps and whatever... |
34eb4cd4f305e1af90a3f745e9192a5a758c4ba23488d6b2b9ea580107b884fe | MATLAB | 3,300 | 129 | function [c,l] = fix_wavedec(x,n)
% Does a haar wavelet decomposition with n scales.
% Avoids using wavelet toolbox
Lo_D = [ 0.7071 0.7071];
Hi_D = [-0.7071 0.7071];
s = size(x); x = x(:)';
c = [];
l = [length(x)];
dwtEXTM = 'sym';
shift = 0;
for k = 1:n
lf = length(Lo_D);
lx = length(x);
lenEXT = lf... |
6872fe9779c40cf9fa0231606fed20bbc370cca639fb07a72f13180042af6fda | MATLAB | 3,300 | 96 | %{
----------------------------------------------------------------------------
Analyzing behavioral data
At least for the correct rate
----------------------------------------------------------------------------
%}
function Figure2b_Dual_behave_analysis_block1_200706_plot5_precise2
close all
% data = a04_2... |
176d17a1563b906d302bc9a4fc92814b563b3aa8a8f7ac4a1574ef74eeeaf03c | MATLAB | 3,303 | 79 | % Get block onset and offset for each session
% Convert block onset/offset to index
% debugging: some MSessionExplore do not have reference time
load('E:\seFilePaths_all');
for m = 21 % 1:size(seFilePaths_all,1)
tic
% Get block ind for individual mice
MouseName = seFilePaths_all.MouseName{m};
... |
1845de78148a7c48144e78c604d509f3b22c64570c45ab79a36cf81e2a19f9b4 | MATLAB | 3,303 | 139 | function plot_adjust_phase(action)
persistent diffid fid1m fid2m info hdl
mean_line_broadening=0;
if isstruct(action)
hdl = [];
fid=action.fid;
info = action(1);
ns = size(fid,2)/2;
fid1 = fid(:,1:ns);
fid2 = fid(:,(ns+1):end);
fid1m = mean(fid1,2);
fid2m = mean(fid2,2);
if (mean_line_... |
5abe8b90f3c2b51b5623c5428a369aa675e454effe8114a752754b2e6cc6184b | MATLAB | 3,305 | 112 | function [pow]=Analyse_FFT(x,y,pow,autoLevel)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% - - - - - - Variables that can be changed - - - - - - %
% Set the accepted time error in seconds for each sample
% This variable checks that the time steps are evenly spaced
timeError = 0.25;
% Set the lowe... |
d908181f9d87b38b1d751393d530256b7c6f077bbc488a38a898df3543e9bf52 | MATLAB | 3,307 | 81 | function [vcg, phi] = vcg_gen_state_space(N, fs, f, alpha, b, theta, theta0)
%
% vcg_gen_state_space - Synthetic cardiac dipole/vectorcardiogram (VCG) generator using a state-space form of a sum of Gaussian model.
% Refer to references for further details. Performs identical to dipole_gen_direct_sum.
%
% Usage:... |
6399d8fb3a30c18b8081a0eb31dea926fb4093373756767597de98e12eb2d355 | MATLAB | 3,310 | 76 | %looks for missing chanels, then interpolates them
clear all
close all
%HDBR data
%eegdir1 = 'G:\BORI\bedrest\RENDEZETT\A) Bedrest_EEG\EEGÖsszes\EEGCleaned'
%eegdir2 = 'G:\BORI\bedrest\RENDEZETT\A) Bedrest_EEG\EEGÖsszes\3.EEGInterpolated'
%AMBCtrl data
eegdir1 = 'G:\BORI\bedrest\RENDEZETT\A) Bedrest_EEG\... |
90ef707e184d958a2e9fe14ffdaf23f633470d38a94ec5ff302545f0f47a4c2c | MATLAB | 3,311 | 100 | classdef mat_wc_reader < handle
properties
sr
min_index
max_segments
raw_filename
sr_infile
t0_segments
max_index
segmentLength
spikes_file
end
methods
function obj = mat_wc_reader(par, raw_filename)
obj.sr = [];
... |
285e7d634b3b22c22b6fffab3f26a8888c9015697939b8ded16370c1cd31426d | MATLAB | 3,312 | 58 | function plotMovAlignData(data,choice)
if isfield(data,'mov')
mouseName = data.mouse;
expDate = data.date;
nFP = data.final(1).nFPchan;
nEvents = length(data.mov.onset.ind);
left_color = [0 0.7 0];
right_color = [0 0 0];
time = data.mov.time;
onsetAvgVel = data.mov.onset.avgVel;... |
801c69b8ddd2fcbd64c267d49110d8c1d067a8cfd713272a3ca36e2070ab2156 | MATLAB | 3,313 | 96 | function [map, col, cm1, cm2] = fig7_whisker(folder, save)
%% Figure 7: Sex difference in whisker sensorimotor system
% Subplots/information:
% - Connectivity matrix of sensorimotor map
% - (not in Matlab) network cartoon figure
% load nodelist or acros or something
% match with diff/data.mat maps
% fix SCs, SCm (11 r... |
080f665ee51de48adf5a77156f378b983c4d4a457127001024fb9cc36143155a | MATLAB | 3,314 | 123 | function popt = partition_options(pdefault, varargin)
%PARTITION_OPTIONS Options for EQ partition
%
%Syntax
% popt = partition_options(pdefault,options);
%
%Description
% POPT = PARTITION_OPTIONS(PDEFAULT,options) collects partition options,
% specified as eRTIS_Sensor_Overlay, value pairs, and places these into the st... |
6fb50066a7fbacaed0ddf1f4cd2e622a5e70d59e3a67fab60cbf8cd876af7d04 | MATLAB | 3,320 | 111 | function [EST,CI,bootx,p] = rst_pbCI(X,nboot,alphav,est,q,mu)
% function [EST,CI,bootx,p] = rst_pbCI(x,nboot,alpha,est,q,mu)
%
% Compute a percentile bootstrap confidence interval
% INPUTS:
% X is a matrix of data
% nboot number of resamples (default 1000)
% alphav is the alpha level (... |
b124a6f8baf7de3df712b44b87755fd0493ca131efcb74f1a6de17641d6c1d2e | MATLAB | 3,322 | 125 | function [err, sn, T1] = nufft1_err_mm(om, N1, J1, K1, type, alpha, beta)
%function [err, sn, T1] = nufft1_err_mm(om, N1, J1, K1, type, alpha, beta)
% Compute worst-case error for each input frequency for min-max 1D NUFFT.
% in:
% om [M,1] digital frequency omega in radians
% N1 signal length
% J1 # of neighbors use... |
efac5a2c3bddc1f854d7d56e254c358ccfd8b561758c948d2a9ca7e8c04f2627 | MATLAB | 3,331 | 88 | function get_good_channels(data_f,path,files)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Get rid of bad channels
% Get rid of bad channels in data
ch_table = readtable([path.meg_data,files.channels],'FileType','text','Delimiter','tab');
ch_table.isx = endsWith(ch_table.name,'X');
ch_table.isy = endsWith(c... |
16ada93d2317e1579d37e86eb0cf9d52165df5cb734afa1eee2f9b21f0651648 | MATLAB | 3,332 | 81 | % MeasureNoiseCheckProperties.m
%
% function to loop through Noise Check images (used in Incomplete Letter generation) to
% find a likely ConInc (contrast increment) for a patch of noise with given dimensions to later be sampled for incomplete letter generation
%
% code by J Greenwood
% v1, June 2023
%% get started
c... |
9551c31551967bf501f18b29f8c138a97913da9df3dc6a7426289640da501390 | MATLAB | 3,332 | 94 | function [brst_files, int_templ, path] = find_xls(app)
path = uigetdir(pwd, 'please select master folder that contain all *.xls files to combine');
files = dir(fullfile(path,'**','*.xls'));
tmp = string([]);
for i = 1: length(files)
tmp(i)= string(files(i).name);
end
[~, tmp_idx] = sort(tmp);
files(tmp_idx) = fil... |
40972a397cc56563a8961e9fd56daaf5aca6e33533ad4fa62710712358a332ec | MATLAB | 3,334 | 103 | function terashita190510
%1üÌÔÅ^b`ÌC^[oÉÖ·éq[g}bvðì»·é
cd('C:\Users\C238\Desktop\CheetahWRLV20180729\119\2017-6-7_20-8-33 11901-51');
dpath=('C:\Users\C238\Desktop\CheetahWRLV20180729\119\2017-6-7_20-8-33 11901-51\');
dpath3=('C:\Users\C238\Desktop\CheetahWRLV20180729\119\2017-6-7_20-... |
957c9ba471a95fae62401e7e47f9dea6466b6998c5e3abc5a72b0a8377e695ee | MATLAB | 3,335 | 96 | clear;
clc;
binsize = 1; %sec
samp_rate = 40000;
ploting = 1;
%%
[file_cell_display, path] = uigetfile('*.mat'); %LOAD CELL_DISPLAY FILE
datafile_cell_display = fullfile(path, file_cell_display);
load(datafile_cell_display)
cd(path)
[file, path] = uigetfile('spike_clusters.npy');
datafile = fullfile(path, file);
spik... |
056672531d54f601ce4177aa9c479df848610901e9f14c7f04db5d641463bbef | MATLAB | 3,336 | 88 | function varargout = Weights(varargin)
% Pops out a simple figure that shows the weights of the projection
% vectors
% Possible ideas:
% Have user manipulate bars to change the projection vector values
% Inset the bar graphs into the DataHigh display, so as the person is
% navigating, it instantly updates ... |
978d2f2f4c2246e9871f1ff5ad92164e03ef246bfce279c7fd46b98833541ddd | MATLAB | 3,342 | 79 | function [data] = JT_processFP_clipthenprocess(data,params)
%Process Fiber Photometry
%
% [data] = processFP(data,params)
%
% Description: This function is designed to process fiber photometry data
% for the lab. The function performs demodulation (if selected),
% filtering, baselining, and downsampling ... |
25f81a73b63f644e064813dc079f1eb4e0f6127fc39126809ec783600a897320 | MATLAB | 3,344 | 81 | %{
----------------------------------------------------------------------------
Analyzing behavioral data
At least for the correct rate
----------------------------------------------------------------------------
%}
function FigureS1g_Dual_RL_analysis_220314_para_compare_220912
close all
analysis_folder = {
... |
7f9078442b6897297cfe6ff1ba9574d2a256fae3ce230f5f7cf299352254df92 | MATLAB | 3,344 | 105 | function [C,Im_Label] = Apply_CNN_Im2Im(My_CNN,Im)
% This function gets a trained neural My_CNNwork and a grayscale image and produces a matrix of probabilities.
% Each pixel in the output matrix contains the probability of the corresponding pixel in the grayscale image of being
% a neuron pixel or a non-neuron p... |
ebcb1aa6f3458fd05e77cb8efbc7bc765504a98181559316d04568c41ad8d7d7 | MATLAB | 3,344 | 79 | %Class for handle 'nc5' files. Wave_clus uses the firsts letters of the m file to now what files it can open.
%
%The classes used by readInData need the methods:
% - A constructor, with inputs par (parameters) and
% raw_filename (name of the file to read).
% - A get_info() method that return: [sr, max_segment... |
2accb389bee9a5bf90f8624db461682eac6b35d3db17a6e76ee08b3f5807a405 | MATLAB | 3,345 | 91 | function [data, name, T] = load_mat_v4(filename)
% LOAD_MATV4 Read and extract data from a MAT-4 file.
%
% [DATA, NAME] = load_mat_v4(FILENAME) reads a MAT-4 file specified by
% FILENAME and extracts the data stored in the file. It returns the
% extracted matrix data in DATA and the name of th... |
8f5eae202ab22b62398a47790eb609b016ebfc3075774440d0184c34fccfc369 | MATLAB | 3,345 | 68 | function trials = getRunAndPupilInfo(trials, runInfo, pupilInfo, options)
if ~exist('options','var'), options=struct; end
% timing options
if ~isfield(options,'preTime'), options.preTime=0.2; end
if ~isfield(options,'postTime'), options.postTime=0.8; ... |
8c2717bc3565c1041914282d61df20b6e92cd9b270a4697d77aaf31339880743 | MATLAB | 3,346 | 106 | function [headmodel] = ft_read_vol(filename, varargin)
% FT_READ_VOL reads a volume conduction model from various manufacturer
% specific files. Currently supported are ASA, CTF, Neuromag, MBFYS
% and Matlab.
%
% Use as
% headmodel = ft_read_vol(filename, ...)
%
% Additional options should be specified in key-value ... |
b5a73e9a0c58ea2b34cede5eae6b1bf9a95ac23534d62a7d63444252c32fb1c8 | MATLAB | 3,348 | 87 | %% Download and import the AMBCA data
% This process takes a while but needs to be ran only once.
build_database;
%% Top 20 areas targeted by Barrel cortex
% Load metadata
load('experiments', 'experiments');
load('nodelist', 'nodelist');
% Load experiments targeting barrel cortex and average them
barrel_experiments =... |
0e66c765ab8679de692758915466216f271822e293b031ea57362b8cf8f62fce | MATLAB | 3,357 | 91 | %--------------------------------------------------------------------------
function s=simple3d(im,n)
% Decides whether the central point of IM is a simple point
% 6-simple means that T_6(IM)=1 and T_26(~IM)=1 -- 26-simple is the opposite
% Authors: Viren Jain, Mark Richardson, M.I.T.
if ndims(im) ~=3
error... |
df81c9525aa37bebb89ab10e56b1f1460015a9c68463b46fb5a357ce36cee8c8 | MATLAB | 3,357 | 105 | % Copyright 2024 Eelke Spaak, Donders Institute.
% See https://github.com/Spaak/rift-phase-and-visibility for readme/license.
% Belongs with:
% Spaak, E., Bouwkamp, F. G., & de Lange, F. P. (2024). Perceptual foundation and extension
% to phase tagging for rapid invisible frequency tagging (RIFT). Imaging Neuroscience,... |
07da181058d4c1d067115a98795fa3b12adaabb24f3f7a7cb1cad9d5ccf6f10d | MATLAB | 3,358 | 76 | function slider_plot(f,EEGTEMP,MaxPos,Chanlocs,Param,TEMPGFP)
% Function for generation of topoplots using a slidebar
% Corentin Wicht
% 05.06.2020
%% MAIN CODE
% FIGURE
% f = figure('units','normalized','outerposition',[0 0 1 1]);
subplot(2,3,[3 6]);
title(sprintf('Topography at %d TF',MaxPos));
topo... |
5d904668f0c987956376640996c5db20a16af23e82ad99f46c003fc73afca733 | MATLAB | 3,360 | 135 | function mergeComments(final_file_path,source_file_paths)
%x Takes comments from files and merges them in to an older file
%
% adi.postp.mergeComments(*final_file_path,*source_file_paths)
%
% Optional Inputs:
% ----------------
% final_file_path : string (default, selection)
% Path to the file to which co... |
50c021c9f2dc4cb2cc09f269c117695aafc12855ba98d1213e9251a46c29e329 | MATLAB | 3,362 | 76 | % ConnectionMat_Fix.m is a function generating connetivity matrices
% Input:
% N_Post,NnPost,Size_Post: number, index projection, and grid size of
% presynaptic neurons
% N_Pre,NnPre,Size_Pre: Same for postsynaptic neurons
% NeEx, Map_Ext: Extended index proje... |
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