sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
e79f64e307d568cfc34f5f2d88710579928f617b803150ffe806acce15da58b0 | MATLAB | 641 | 24 | function plot_a_knl_stm(session, channel, unit, prb)
% Plot average of stimulus kernels of specific a-model for given probe
%
% Parameters
% ----------
%
% - prb: 2-by-1 integer vector
% [x, y] postion of a probe
knl = get_a_knl_stm(session, channel, unit);
% time-delay map
map = squeeze(knl(prb(1), prb(2), :, :));... |
87d9366395b1055d16c4ff989bfc740402f12794a559c6f03dabf9d5b7d20c3f | MATLAB | 642 | 19 | function CriteriaLabels = get_criteria_labels(CycleTable, CriteriaSet)
% selects the fieldnames from CriteriaSet that are also present in Cycles,
% and ignores criteria that are not specific to a signle cycle.
if isempty(CriteriaSet)
CriteriaLabels = {};
return
end
CyclePropertyLabels = CycleTable.Properties.... |
89c10f1a74eaa0787f3bcfb09897d1650fa3dfc94d251fb354bd67b6b68d67c1 | MATLAB | 642 | 11 | function Bursts = simple_burst_detection(Signal, SampleRate, BurstRange, CriteriaSet)
% Bursts = simple_burst_detection(Signal, SampleRate, BurstRange, CriteriaSet)
%
% from Matcycle, Snipes, 2024
DataNarrowband = cycy.utils.highpass_filter(Signal, SampleRate, BurstRange(1)); % if you want, you can specify other aspec... |
502bb91daee9df6270f71a375f0b614ab1547d7b7cbd4479d649caae061ad28a | MATLAB | 643 | 19 | %% flip brain render table
clear
clc
[file, path] = uigetfile('clusters.csv','MultiSelect','off');%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
T = readtable(datafile);
midline = 5700;
%%
T.side(contains(T.e... |
ad5e94fc944e3cd86bb5322ae87a5d7d15c1504676a45ad1bc28b794f50e9c34 | MATLAB | 643 | 23 | classdef BootstrapTest
%BOOTSTRAPTEST Summary of this class goes here
% Detailed explanation goes here
properties
Property1
end
methods
function obj = BootstrapTest(inputArg1,inputArg2)
%BOOTSTRAPTEST Construct an instance of this class
% Detaile... |
fb9115979387cbd3d9589864800d99040c19fb2653bbd0d459c1fc0aeb1df951 | MATLAB | 643 | 29 | function NewData = close_small_gaps(Data, MaxSize)
% identify gaps
[Starts, Ends] = data2windows(isnan(Data));
if isempty(Starts) || all(isnan(Data))
NewData = Data;
return
end
Gaps = (Ends-Starts);
% if any gap is too large, return only nans
if any(Gaps>MaxSize)
NewData = nan(size(Data));
return
end
... |
230a434f2b4ca7370fa0733914124a3935c992722fa94164c92e5a7313b7f718 | MATLAB | 644 | 21 | [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
%%
for i = 1:length(datafile)
load(datafile{i})
cells = fieldnames(all_data);
for j = 1:length(c... |
41f50df006bd990ce62f192bfb3e1d85bd18c789a19f2fe03cbdf508afafcaf0 | MATLAB | 645 | 27 | function w_deg = convert3D_to_angV(pos0_x, pos0_z, eyePos_x, eyePos_z, vel_x, vel_z)
%%
% Based on Rokers et al., 2018 derivations.
%% example inputs. Unit is arbitrary but must be consistent.
% pos0_x = 100;
% pos0_z = 100;
%
% vel_x = 0;
% vel_z = 135;
%
% eyePos_x = 0;
% eyePos_z = 0;
% get intial angle of obje... |
01ade668e66d69af257caf516e377ef5a2806887b4d4cc49a4dd94428e8c0a8b | MATLAB | 649 | 33 | %% Error plot
% errorplot(x, y, va, col, alp)
% Roger Koenig
function handle = errorplot(x, y, va_max, va_min, col, alp, linewidth)
if nargin == 5
linewidth = 1;
end
if size(x,1) ~= 1
x = x';
end
if size(y,1) ~= 1
y = y';
end
if size(va_max,1) ~= 1
va_max = va_max';
end
if size(va_min,1) ~= 1
va_... |
0f16ee8aac99fa296f043f6ff9b7b65c4a43e114e00a9c7a5153ebb0cf3d04e2 | MATLAB | 649 | 16 | % 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... |
a2a230bea76274811fae669581696437ebd8522c06616b34fc58b9fb1f493fcc | MATLAB | 649 | 26 | % delete non relevant nds
[datafile, path] = uigetfile('*.mat','MultiSelect','on');
cd(path)
nds = [10,8,6,4,3,2,1];
for i = 1:length(datafile)
load(datafile{1,i});
if iscell(all_data)
all_data = all_data{1,1};
end
cells = fieldnames(all_data);
for j = 1:length(cells)
c = all_d... |
a4a99fb1846d961da1469b01f9205c867c667d4df6830a507adf47ac888bf971 | MATLAB | 649 | 18 | % add retroMoCoBox subfolders to the path (without including all the git
% subfolders!)
retroMoCoPath = which('addRetroMoCoBoxToPath.m');
[retroMoCoPath, ~] = fileparts(retroMoCoPath);
addpath(retroMoCoPath);
addpath([retroMoCoPath '/export_fig']);
addpath([retroMoCoPath '/fatnavtools']);
addpath([retroMoCoPath '/gen... |
a92466db2a9227400ea98c685752cb1a435c3286b8a7ce657ea355989f291c88 | MATLAB | 650 | 17 | % 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... |
dbbb187139d232f8587042dfe29708215902bdcb6c6257d67bfda5b3b839c3f1 | MATLAB | 650 | 11 | function X = dtft_mex(varargin)
disp('This dtft_mex.m is a dummy m-file that is included to provide')
disp('a reminder that you must have the Mex file "dtft_mex.mex???" that')
disp('is appropriate for your system. For pc-linux (32bit), the mex file is')
disp('called "dtft_mex.mexglx", which is provided in the "mex" ... |
2bec41a090c1148cc6a0584259a6f2c564776fdc724662b19ac935ba5a316a7d | MATLAB | 652 | 15 | function Binary_Image = Update_Binary_Image(Im_CNN,Binary_Image,Min_Object_Size,Reset_Flag)
if(Reset_Flag)
Binary_Image = zeros(size(Im_CNN));
Binary_Image(Im_CNN == "Neuron") = 1; % Set to 1 pixels that are above the preset threshold.
end
% Delete sub-threshold objects from the binary image:
CC = bwconncom... |
9d8ecdb487eff34c43ce4336beddf23c2c813a48359b9df2bdaaf32cd80ea585 | MATLAB | 652 | 23 | function setCustomProp(obj, propname, val)
%SETCUSTOMPROP Set a property not included in the defaults
if ismember(propname, obj.deprecatedParams.unsupported)
return;
end
% ignore property if it's Dependent
propData = ?jrclust.Config;
propNames = {propData.PropertyList.Name};
depende... |
739c592c71064819a030ba620124d2f6c57207e7b63f5911d026c0e9c7d1b83a | MATLAB | 653 | 15 | function [ output_args ] = runApplyFiltersJoint( p )
% joint extraction was run already, here we only apply warping,
% normalization etc. to the session videos and use the spation filters to
% obtain the temporal traces
for sub = 1:p.nSubjects
disp([char(datetime('now')) ' Starting applyFiltersJoint for Mo... |
2ae9b613df93cbd108413a1bf5e7d360ff522832c905936be40457a0fb6633f0 | MATLAB | 654 | 16 | function WindowedStim = average_windows(ProbTrialStim, TrialTime, Windows)
% average timepoints into windows. PropTrialStim is a P x TT x Ch x t
% matrix. TrialTime is a vector of the trial timepoints in seconds. Windows is a W x 2
% array in seconds
WindowsCount = size(Windows, 1);
ParticipantCount = size(ProbTrialSt... |
eb1908659d878236a34712b271fe4c434cb67dce19879d31bed250d513fd81f1 | MATLAB | 655 | 19 | %% flip brain render table of clusters
clear
clc
[file, path] = uigetfile('clusters.csv','MultiSelect','off');%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
T = readtable(datafile);
midline = 5700;
%%
T.side(... |
53ae15e452d468f064f70219de04cc547a5300b23458416dabbce8f5779c8857 | MATLAB | 656 | 28 | %Basic implementation of HIO algorithm
%Fienup, James R. "Phase retrieval algorithms: a comparison." Applied optics 21.15 (1982): 2758-2769.
%Adapted from work by Prasanna Rangarajan
function x = HIO( y, A, At, support, beta, iters, x_init )
%Assumes x is real
if isnumeric(A)
A=@(x) A*x(:);
At=@(z) A'*z(:);
end... |
a98369e2438d801e3ff276bdf90ca0757bf8bfd8a174dafb2b6db7fa99e86c1b | MATLAB | 658 | 15 | function [params model er] = ECGOptimizeModel(x, indexes, meanphase)
tetai = meanphase(indexes);
alphai = 1*x(indexes);
bi = .01*ones(size(alphai));
% options = optimset('TolX',1e-4,'TolFun',1e-4,'MaxIter',100);
options = optimset('TolX',1e-4,'TolFun',1e-4,'MaxIter',100,'Display','off');
InitParams = [alphai bi... |
48db0fdfff3efd3afaa0ca7e63878dada12757d18ea5f2c5d82f52a3e3d6b80f | MATLAB | 660 | 27 | function fVis = toggleVisible(obj, plotKey)
%TOGGLEVISIBLE Toggle visibility of plot by key
if isempty(plotKey)
return;
end
if iscell(plotKey)
cellfun(@(pKey) obj.toggleVisible(pKey), plotKey);
return;
end
if ~obj.hasPlot(plotKey)
return;
end
hPlot = ob... |
653385b2568374f7c597d82f393e8aac0741e2c553b44ec6491551f5393b3646 | MATLAB | 660 | 25 | function [po, fs] = get_PSD(data,f)
S = [];
eD = [];
S.trialength = 5*f;
for n = 1:floor(length(data)/S.trialength)
eD(:,:,n) = data(:,((n-1)*S.trialength) + 1:n*S.trialength);
end
% set flattop window
nepochs = size(eD,3);
F = [0:.1:600]';
pow = zeros(size(F,1),size(eD,1),nepochs);
wind = window(@flattopwin,size... |
70184783a1c2dcf57311425a6e6a877712feb41c72827c8e56cf0840b063f89b | MATLAB | 660 | 27 | function x = fatrix2_do_back(ob, y)
%function x = fatrix2_do_back(A, y)
%|
%| implement 'back' function: A' * x
%| in array mode, accounting for idiag, odiag, scale
%|
%| trick: conj() of idiag odiag scale already done in ctranspose.m
y = fatrix2_apply_diag(y, ob.odiag); % [odim *L]
x = ob.handle_back(ob.arg, y); % [... |
79760932415b64cbd26dbb021b5d80cc01cbeac6bfb3ea22012a68eb668ecc72 | MATLAB | 660 | 22 | function c_polar = polar_colat(dim, N)
%POLAR_COLAT The colatitude of the North polar (top) spherical cap
%
% Given dim and N, determine the colatitude of the North polar spherical cap.
%
% c_polar = polar_colat(dim, N);
% Copyright 2004-2005 Paul Leopardi for the University of New South Wales.
% $Revision 1.10 $ $Dat... |
25752a2e110b95f651a608cec9b8ab64b08f316d2575be1ba20115d4dc1ca762 | MATLAB | 661 | 27 | function tf = streq(a, b, n)
%|function tf = streq(a, b [,n])
%|
%| return 1 if two strings "a" and "b" are equal
%| (optionally checking only up to 1st n chars)
%| caution: whereas strcmp allows comparisons of cell arrays,
%| this routine allows only two strings.
%|
%| Jeff Fessler
if nargin == 1 && strcmp(a, 'test... |
8e1f4154c4ee583cf144acf720d506465c67e366ac783ab6bb4c4c5397a31ddf | MATLAB | 661 | 31 | function animal_sorted_BF = extract_animals_SW (BF)
% puts data after the SPL analysis into a format for IQR analysis.
BF_animals = BF;
BF_animals_numbers = num2str(BF_animals(:,6));
BF_animals_numbers = BF_animals_numbers(:,1:end-7);
BF_animals_numbers = str2num(BF_animals_numbers);
BF_animals(:,6) = BF_a... |
e043107ca5b58a21cc99a8c8b648cedcf34d3a510279c85fc502dbf54b5fb918 | MATLAB | 663 | 12 | function updateNoteMenu(obj)
%UPDATENOTEMENU Update menu entry to indicate selected clusters
if numel(obj.selected) > 1 && obj.hasMenu('InfoMenu')
menuLabel = sprintf('Unit %d "%s" vs. Unit %d "%s"', obj.selected(1), ...
obj.hClust.clusterNotes{obj.selected(1)}, obj.selected(... |
0a1e476238c5862d0b1182de0d66697ecd1264bab2aa0f4e5bc2714506683324 | MATLAB | 664 | 24 | function [xv4,yv4] = rotate_vector_origin(xv1,yv1,origin1,angle1)
% xv, yv are the rectangle vectors. xv1 = [px1 px2 px3 px4 px1]. yv1 = [py1 py2 py3 py4 py1].
% origin1 is the origin coordinates. origin1 = [x,y].
% angle1 is the rotation angle in degrees.
% Translation to the axis origin:
xv2 = xv1 - origin1(1)... |
51d8eb2f93a98d8d0b5ffab14352b948b09c9a4835cbb52669796d7bdccd77e3 | MATLAB | 664 | 31 | function [ espec ] = compute_shared_eigspec( fa_model )
%
% computes the shared eigenspectrum
%
% Input:
% fa_model - (struct), factor analysis model parameters
%
% Output:
% espec - (list), eigenspectrum of the shared covariance matrix
%
% @ Akash Umakantha, 2021. See https://www.biorxiv.org/content/10.1101/2020.1... |
804a8d0ce06bdba89ad09faa9c61acd30874c680129af9d893b6063e20b3f900 | MATLAB | 665 | 24 | function region = sphere_region(dim)
%SPHERE_REGION The sphere represented as a single region of an EQ partition
%
% An array of two points representing S^dim as a region.
%
% region = sphere_region(dim);
% Copyright 2004-2005 Paul Leopardi for the University of New South Wales.
% $Revision 1.10 $ $Date 2005-06-01 $
%... |
0224d16f5c5c259cb441a0d189cd7970740cc9082758c0cfeb0cc92732b2fcb4 | MATLAB | 666 | 18 | function FinalTable=metrotable(METRICS,labelconditions)
FinalTable=table;
for c=1:numel(METRICS)
% Multiclass Binary Complete * * * * * * * * * * * * * * * * * * * * *
MCmetrics=METRICS{c};
MetricsNames=fieldnames(MCmetrics);
RowName{c}=char(labelconditions(c));
RowString=cell(1,numel(MetricsNames))... |
29ef2d525d882ba2174867782ec50ff7baa1518627bcb8e89fb03776257f85eb | MATLAB | 666 | 31 | % clone thid first: https://github.com/alphanumericslab/OSET/tree/staging
clear
close all
clc
fs = 250;
x = lp_filter_zero_phase(randn(1, 100000), 1.5/fs);
x = x - lp_filter_zero_phase(x, 1.49/fs);
sign_changes = x(1:end-1) < 0 & x(2:end) >= 0; % case I
% sign_changes = x(1:end-1) .* x(2:end) <= 0; % case II
I_sign_... |
7545a74d41901602e112d064dcc675f6d5b48c729fb4fc7e5c9b918d2f6258ed | MATLAB | 666 | 22 | function [selectwl, selectint] = spectralInterpolationSpectrometer(tr, wl, int)
%interpolate intensity values to a 0.1 nm interval
for k = 1:size(int,2)
xi = 300:0.1:800;
pp = interp1(wl(:,k),int(:,k),'linear','pp');
yi(:,k) = ppval(pp,xi);
plot(wl(:,k),int(:,k),'ko'), hold on, plot(xi,yi(:,k),'r:'),... |
8d6edfa8fef8f06be31df3aabc6e960cfefcc9c05916298504c385dd6b5dfc16 | MATLAB | 668 | 17 | % this function is used to insert the spike traces inferred from the
% rescaled traces into the typical pipeline Fall.mat files
base_dir = 'xxxx';
all_Fall_files = dir([base_dir, '\**\complete_data_Fall_rescaled_0.86.mat']);
all_Fall_files_spk = dir([base_dir, '\**\complete_data_Fall_rescaled_spks.mat']);
fo... |
0fd790468bd44747d562d33c3765c0ab78c5c9df89540ffa1d68c8dd4b2e2d82 | MATLAB | 669 | 20 | %% IR+responsive left_vs_right
L_T = T(T.side == "Left","cluster");
L = groupcounts(L_T, "cluster");
L.GroupCount(4) = sum(L.GroupCount);
clusters_text = ["early+stedy"; "early"; "steady"; "total"];
L.cluster = clusters_text;
R_T = T(T.side == "Right","cluster");
R = groupcounts(R_T, "cluster");
R.GroupCount(4) = sum(... |
4508c32a87a9729afb1f351525b4d17d00ee601c64d8c0bb801c079caaf57de4 | MATLAB | 670 | 21 | %% Rate of production of bh4 from bh2.
% UNITS in uM and uM/h
% b = BH2
% c = NADPH
% d = BH4
% e = NADP
function a = VDRR(b,c,d,e)
k1 = 100; %Km for BH2 (BRENDA) (6-650)
k2 = 75; %Km for NADPH (BRENDA, values 770,110,29) (schumber 70-80)
V1 = 5000; % Vmax forward
k3 = 10; %Km for BH4 (BRENDA) (1.1 to 17)
k4 = 75;... |
6622d9aa707f6c02b797141351d500699f404aa09c8a6c21dde2f2a33b9f23d3 | MATLAB | 670 | 23 | % fig_taper_cos3
% compare 3 different interpolation kernels:
% min-max kernel with uniform scaling factors
% min-max kernel with optimized scaling factors
% cos^3-tapered dirichlet kernel of magnusson
J = 6;
N = 1000;
K = 2 * N;
k = linspace(-J/2,J/2,101)';
fm = diric(2*pi*k/J, J) .* cos((2*pi*k/J)/2).^3; % tapered
f... |
9ee973deb9417f35af4c2e53fb50939b8479ddbe5bd19931fe0534c02a4f5f7a | MATLAB | 670 | 36 | %%%%%ANALISI DELLE COMPONENTI PRINCIPALI%%%%%
load datamatrixPCA.mat
str={'objects PCA', 'variables PCA'};
[var,v] = listdlg('PromptString','Select PCA:',...
'SelectionMode','single',...
'ListString',str);
if var == 1 %PCA sugli oggetti
DMp1 = [DMp, ones(7,1)];
... |
18ad2a448796f6eb6f46df49e367db12f1f6693b9607c85456f743a63d4a7bf7 | MATLAB | 671 | 26 | function [D] = meshdot(q,X,Y,Z)
%meshdot - returns dot product of q with meshgrid input at each point
%on the grid.
siz = size(X);
assert(length(siz) == 3,'Meshgrid dimensions != 3');
assert(siz(1) == siz(2));
assert(siz(2) == siz(3));
assert(siz(3) == siz(1));
D = zeros(siz);
%Iterate through all x, y, z values, m... |
8894367fdbcae247e970a222ae44abb534fa87ea3a85dafdb6fd667aef24cf26 | MATLAB | 671 | 15 | function [RisingEdgeCrossings, FallingEdgeCrossings] = detect_crossings(Signal, CrossingValue)
% finds all the timepoints in which the signal goes:
% - from greater than CrossingValue to less than CrossingValue (falling edge crossing)
% - and from less than CrossingValue to greater than CrossingValue (rising edge cros... |
aa07497b4c4b4c4eb9b5db738780611c7095c7345b0f40576e87aa6579e3ca45 | MATLAB | 671 | 18 | % HBF_LFM_B_LC_DIR builds magnetic lead field matrix based on directed
% current dipoles.
%
% LFM=HBF_LFM_B_LC_DIR(meshes,coils,TB,spos,sdir)
% meshes: BEM geometry, cell array of hbf structs
% coils: coil description, hbf struct
% TB: TB matrix built with the hbf BEM solver
% spos: source pos... |
e3cd6604e63860dcf142736323e30b83d89c48b6120ddc6a60c192998e0d8730 | MATLAB | 671 | 27 |
function p = circ_iqr(alpha)
% CIRC_IQR - estimates the interquartile range of circular data
%
% INPUT & OUTPUT
% -------------
% alpha - input data (in radians, not binned)
% p - estimated iqr
%
% METHOD
% -------------
% For normal distributions IQR can be estimated from the
% standard deviation of the sample, ... |
73557d51fe8fc9179a90955de49d7a8f16454e427605a905950f157db2accd4b | MATLAB | 674 | 18 | function [hAxes] = plotADOutputText(AD,varargin)
% Manage Inputs ###############################
varInputs = inputParser;
addParameter(varInputs,'hAxes','',@ishandle);
parse(varInputs,varargin{:});
varInputs = varInputs.Results;
if isempty(varInputs.hAxes)
hAxes = gca;
else
hAxes = varInputs.hAxes;
end
outpu... |
f42f0913530324c616a421648579c04b7dcb2f6394f93087af058f800c5420cc | MATLAB | 674 | 25 | function [sigma_xy, sigma_z] = XxGuassianFitting3D(psf)
addpath(genpath('../'));
[Ny, ~, Nz] = size(psf);
y = double(1:Ny);
z = double(1:Nz);
psf_z = squeeze(max(max(psf,[] , 2), [], 1));
[~, I] = max(psf_z);
psf_xy = psf(:, :, round(I));
% calculate psf_y
[~, I] = max(sum(psf_xy,2));
psf_y = XxNorm(psf_xy(I,:),0,10... |
b8a37e5618ab9c6d2f1ba20620209f599950b6b537988be864959ad862fd5f50 | MATLAB | 675 | 25 | function generated_states = states_from_exo(X,k,Q)
%Function to generate states from task data for simulation purposes
%% Input
%X: NxC matrix of task conditions where N is the number of time points and
%C is the number of conditions
%k: the number of states to be drawn
%Q: kxkxC array of transition kernels associated ... |
45c1c959a186ed12ac33b55ad14ef5102e0681bbd06be1a67dced6fb35fb5268 | MATLAB | 676 | 25 | function [ areas,centroids,cvxHulls,cvxAreas,outlines ] = getFilterProps( filters )
thresh = 0.6;
for i = 1:size(filters,3)
pic = filters(:,:,i);
pic = pic > thresh*max(pic(:));
% get biggest connected component
bwcc = bwconncomp(pic);
[~,maxIdx] = max(cellfun(@(x) length(x),bwcc.PixelIdxLi... |
2047b62ee1a476c8bb21a6fb568721510008bf033e519d1256d5cf828f60c7a6 | MATLAB | 677 | 26 | function plot_f_knl_stm(session, channel, unit, fold, prb)
% Plot stimulus kernel of specific f-model for given probe
%
% Parameters
% ----------
%
% - fold: integer scalar
% Fold number
% - prb: 2-by-1 integer vector
% [x, y] postion of a probe
knl = get_f_knl_stm(session, channel, unit, fold);
% time-delay map
... |
4fbef43daee62f2f2c55832f9847008592a99420d8832dc6119caee3e9f4007e | MATLAB | 677 | 18 | function save_processeddata(FolderNamePD,ESTSIGNALS,SNRwavelet,TAUSall,isSIGNALS,notSIGNALS)
% Call Global Variables:
global DETSIGNALS;
global preDRIVE;
global preLAMBDAS;
global RASTER
global Responses
global SIGNALSclean;
global SNRlambda;
global Experiment;
global RasterAlgorithm;
% Direcotry to Save: Up from this... |
f2b26d639a247c5e523068bf8cd4e21dcce7ee6890dad4128d70e56ff1089247 | MATLAB | 678 | 29 | [file, path] = uigetfile('all_areas_per_exp.mat','MultiSelect','off');
cd(path)
load(file)
mkdir("spect")
cd("spect")
%%
fs = 100;
t = 0:1/fs:20-1/fs;
earias = fieldnames(meanLFP);
for i = 1:length(earias)
f1 = figure;
f1.Position = [100, 100, 800, 800]
for j = 1:7
subplot(4,2,j)
x = meanL... |
a05eb77bf960771943efc53ab97d4dbffc0ff50e324d45d0415a6575240fc4af | MATLAB | 679 | 19 | function MIDstr = getMIDstr(thisFile)
% function MIDstr = getMIDstr(thisFile)
%
% From a filename of the standard Siemens TWIX form, e.g.
% meas_MID00100_FID03307_MPRAGE_motion_FatNavs_1mm_iso.dat
% this function should return the number after the letters MID. This is
% useful to keep track of separate datasets in the ... |
133573d2f386569d5d74118e1ee7019aa81f6910c0d2341207e0548ebf14f2b3 | MATLAB | 680 | 20 | %% Clustering Setups
% SimmEnsTH=0.8; % Ensemble simmilarity
MaxEnsembles=10;
TimeDommEns=55; % Portion of presence of one ensemble
parseq=3/4; % Portion in a ensemble is activated
RatioHebb=10; % Minimum % Of the Hebbian Ratio
ActiveNeuronsRatio=0.75;% Ratio of Active Neurons
Ac... |
488a9755c5564b64444e11c700ef83f307674f110a168d6d5c614a3f55b4d5ee | MATLAB | 681 | 15 | global Vinj V0 gamma
Vinj = 1; % (mm^3) 1e+06 cells
lambda_iv = 0.837; %(day^-1) based on in vitro fit to the average
DT_invitro = log(2)/lambda_iv*24; % (hours)
convPhotCell = 10; % 1 cell \simeq convPhotCEll photons/seconds
convPhotMm = convPhotCell*1e6; % 1 mm3 \simeq convPhotMm photons/seconds
phot2... |
890165dcfe1126b0c36baaa848cb10dd811b01d14a729f1142cd381b7f2f2d93 | MATLAB | 681 | 23 | function avgref=computeavgref(thedata)
% computeavgref: computes the average reference of a data set
%
% inputs: data as a 2-D numeric array where dimension 1 contains the
% timeframes, dimension 2 contains the channels
%
% outputs: average reference as a 1-D numeric array that contains the
% average reference at each ... |
2934056abb7f482a9839ccf81d0b9dc7168a1ebfb914f967a90208f7537ac216 | MATLAB | 682 | 17 | function samplesIn = ndiffFilter(samplesIn, nDiffOrder)
%NDIFFFILTER
if isempty(intersect(nDiffOrder, [1 2 3]))
return;
end
if nDiffOrder == 1
samplesIn(1:end-1,:) = diff(samplesIn);
samplesIn(end, :) = 0;
elseif nDiffOrder == 2
samplesIn(2:end-2, :) = 2*diff(samples... |
d4c7c23341731df4dcc5dd68c513eadae8d20fb9a8ad45939b60ac5b3d599d44 | MATLAB | 682 | 29 | function ind = ChannelIndex1(x, varargin)
% Channel selection based on wavelet decomposition onto ECG bands, or
% equivalently using a filter that is customized to the fetal ECG frequency
% band
%
% Reza Sameni
% December 2008
if nargin > 3 && ~isempty(varargin{1})
ranking_mode = varargin{1};
if ~is... |
86782d88f24c86eb3e2263774e4b2ed6fb513d2d2add2fc07034eb7ac5fd0237 | MATLAB | 685 | 18 | function save_rawdata(FolderNamePD,NumberofVideos,XY,r,PathName,RADroi,dyename,FN)
% Call Global Variables
global SIGNALS;
global Names_Conditions;
global fs;
global Experiment;
% Directory to Save: Up from this one (pwd)
FileDirSave=getDir2Save();
% Creata Folder:
if ~isdir([FileDirSave,FolderNamePD])
fprintf('Fo... |
601d6cacaa1adee2ea7df7debced1f511da41c7c673851aa485b7b0161c919d9 | MATLAB | 686 | 22 | function y = group_l2norm(x,groups)
% "groups" is vector indicating the group stucture
% for the group-vector-soft thresholding operation
% The size of groups must be the same as x.
% Each set of elements that are mutually equal
% define a group.
% Example: if groups = [1 1 1 2 2 2 3 3 2 2 1 1 3 3],
% there are 3 gro... |
94854c9731d70adb13ec285544e52f315ff1ed3444e29b7a6381c78b216871ed | MATLAB | 687 | 23 | function curOTF = XxReadOTF2D(otfPath, nx, ny, dkx, dky)
addpath(genpath('../'));
[headerotf, rawOTF] = XxReadMRC(otfPath);
nxotf = single(headerotf(1));
dkrotf = single(typecast(headerotf(11),'single'));
dkr = min(dkx,dky);
diagdist = ceil(sqrt((nx/2)^2+(ny/2)^2)+1);
OTF = complex(rawOTF(1:2:end),rawOTF(2:2:end));
x... |
c08c172c1f1298d6374814471bb89943eac1349580cdb335432af37f533552e8 | MATLAB | 687 | 21 | function utc_offset = getTimeZone
%getTimeZone Returns the time zone of the operating system.
%
% utc_offset = sl.datetime.getTimeZone
%
% Uses a Java call. This function is necessary for converting between
% Matlab time which is local based, and many other time codes which are
% all UTC based.
%
% OUTPUTS
%... |
fd86198c82d4e94d4a768871bbd410ed680e44f2fd8e8c844431ef8dee5c7ab9 | MATLAB | 687 | 24 | function printm(varargin)
%function printm(varargin)
%|
%| like printf except that it puts the mfilename in front of it
%| so that you know where the message originated.
[caller, line] = caller_name;
if ~isempty(line) && line ~= 0
caller = [caller sprintf(' %d', line)];
caller = strrep(caller, 'LiveEditorEvaluation... |
6533fa6cf33d5cc140d3fc5961860182e648715ba3d987a0efc58c4db6ace0b5 | MATLAB | 688 | 26 | function recomputeWaveforms(obj, computeAll)
%RECOMPUTEWAVEFORMS Recompute mean waveforms for a cluster or all
%clusters
hBox = jrclust.utils.qMsgBox('Recomputing... (this closes automatically)', 0, 1);
obj.isWorking = 1;
try
if nargin < 2 || computeAll == 0
obj.hClust.updateWa... |
91c9400260439798771261020c996acfa2bcf3aa77a21720d187c2827f50a639 | MATLAB | 688 | 25 | function plot_PCA(x,k)
% triplot plots a triangular diagram
% points on it are plotted by tripts
% written by Gerry Middleton, 1995
xscale = 2/sqrt(3);
x = [0 xscale/2 xscale 0]; % define coordinates of apices
y = [-1 0 -1 -1];
plot(x,y);
axis('equal');
axis off; % turn off rectangular axes
hold on; % hol... |
d7f1a082270fecde40e0a516cc8a7fa6767a2397fb923160be3f3b8a9b9609e2 | MATLAB | 688 | 23 | function region = top_cap_region(dim,a_cap)
%TOP_CAP_REGION North polar (top) cap region of EQ partition
%
% An array of two points representing the top cap of radius a_cap as a region.
%
% region = top_cap_region(dim,a_cap);
% Copyright 2004-2005 Paul Leopardi for the University of New South Wales.
% $Revision 1.10 $... |
72e5967d9e3813173e1883ea8d5d8b1d31c79c0352b57050205897da6d347702 | MATLAB | 689 | 23 | function y = group_l2norm(x,groups)
% "groups" is vector indicating the group stucture
% for the group-vector-soft thresholding operation
% The size of groups must be the same as x.
% Each set of elements that are mutually equal
% define a group.
% Example: if groups = [1 1 1 2 2 2 3 3 2 2 1 1 3 3],
% there are 3 gro... |
26ad047d088bed0dba68c46e4ac1f43c533d287467aa49bf9890d65f6ceed4f4 | MATLAB | 690 | 32 | function Stats = ttest_timefrequency(Data, StatsParameters)
% runs a simple t-test on data to see which points in a P x F x t matrix
% deviates significantly from 0.
Dims = size(Data);
tValues = nan(Dims(2), Dims(3));
N = nnz(~isnan(Data(:, 1, 1)));
pValues = tValues;
for FrequencyIdx = 1:Dims(2)
for TimeIdx = 1... |
06f6a9076680e5b6fc36566cdd003ee6d60f59c4e4e87ab5033dedb7af48bfc6 | MATLAB | 691 | 15 | mmf = memmapfile(params.filename, 'Format', {params.dataType, [nChInFile nSamp], 'x'});
st = readNPY('spike_times.npy'); % these are in samples, not seconds
clu = readNPY('spike_clusters.npy');
theseST = st(clu==19); % spike times for cluster 19
extractST = theseST(1:min(100,length(theseST))); %extract at most th... |
72e3ddbc2415410c1bbe6b635c004ca22520d4214bcaaf779911d4c30e808f51 | MATLAB | 692 | 20 | % A self contained function to present pixel connectivity
% Input: C_mat: Matrix of pixel connectivity
% PixId: the pixel I care about
% PixNum, N_HC, NPixX, NPixY: Basic quantities. Scalars
% Crange: range of connnectivity, 1*2 vec
% AXrange: range of the axis to present, 1* 4 vec
% ... |
0472485c1bb5da3e578f8ccf0ba84b868bebab69a4dc330be2c47328a9d7d856 | MATLAB | 693 | 19 | function [fk] = recompStableFeats(probs,selVars,nfp)
% This function is used to recompute stable features using a new number of
% false positives than originally used when calling stabSel.m.
%
% Inputs:
% probs -- empirical probability of feature selection (n x 1 where
% n is the number of features). This is fsc ... |
27bb21ece9cbad421d6d6a3675fa2fa9e13660cd2c89800ebc7314240b5d7589 | MATLAB | 693 | 20 | function [newD, C] = LDAreduce_ehStandAlone(D,dims)
%LDAREDUCE Internal function for LDA
% LDAREDUCE(D,DIMS) returns a structure of the same form as D, except the
% data has been reduced with LDA. All conditions and trials are
% considered together to get the best joint reduction.
conds = length(unique({D.con... |
d4475612271d9df19a1b424876874b41dd122473e7e3deb937e98b2b1a25c556 | MATLAB | 693 | 35 | function y = nufft_sinc(x)
%function y = nufft_sinc(x)
%|
%| my version of "sinc" function, because matlab's sinc() is in a toolbox
%|
%| Copyright 2001-12-8, Jeff Fessler, University of Michigan
if nargin < 1, help(mfilename), error(mfilename), end
if streq(x, 'test'), nufft_sinc_test, return, end
iz = find(x == 0)... |
707c02b29e11a82f1f7d61e2ee72c955e4ff3bbbfe2537df0edefdd84119df50 | MATLAB | 695 | 19 | function coords3D = convert2Dto3D5(points2D, indices, points3D)
% points2D: Nx2 matrix of 2D coordinates
% indices: Nx1 vector of indices into points2D
% points3D: Mx3 matrix of 3D reference points
%
% coords3D: Nx3 matrix of 3D coordinates corresponding to the 2D points
% Extract the 2D points... |
19ed2764bab4b58772e3ffd41cea0866819da65ce035cb3cbc9697c7c810520d | MATLAB | 696 | 35 | function time_frequency(Data, Frequencies, tMax, PlotType, FreqRange, ColorAxisLimits, Levels)
arguments
Data
Frequencies
tMax
PlotType = 'imagesc';
FreqRange = [1 40];
ColorAxisLimits = [min(Data(:)), max(Data(:))];
Levels = 40;
end
% Data is Freqs x time
Time = linspace(0, tMax, size(Data... |
5b94428b60378089a92678086d392e3e709974cd9e5b939f2cb3333134e6b9b9 | MATLAB | 696 | 20 | function exportToWorkspace(vals, verbose)
%EXPORTTOWORKSPACE Export a values in a struct to local workspace
fieldNames = fieldnames(vals);
varsAssigned = cell(numel(fieldNames), 1);
for i = 1:numel(fieldNames)
fn = fieldNames{i};
if ~isempty(vals.(fn))
assignin('base', fn, v... |
1944558550c918d12d16b7b23bc6a665dc54bda2fcb4c4b0aaa7b927a0c3c0b3 | MATLAB | 697 | 28 | function ct = getcentrality(paths)
%% Get betweenness centrality
% For every node calculate the betweenness centrality, a measure to
% determine how important the role of a node is in the global network
% structure.
%
% ct = get_centrality(paths)
%
% Input:
% paths (optional): Cell array with shortest paths, obtained... |
4f7eb5776d41f26599b721fe054a104687a9e21f0caaf08cd377d7866eee840c | MATLAB | 697 | 30 | function [ avg_psv ] = compute_perc_shared( fa_model )
%
% computes the percent shared variance
%
% Input:
% fa_model - (struct), factor analysis model parameters
%
% Output:
% avg_psv - (scalar), percent shared variance
%
% @ Akash Umakantha, 2021. See https://www.biorxiv.org/content/10.1101/2020.12.04.383604v1
% ... |
62175c1a603b7fc455a259c3d648627aa278b7d2415926efc8d8b751b1d9f0e5 | MATLAB | 697 | 21 | function [consensus_VI,consensus_simm_VI ,VIm, consensus_idx,ALL_consensus_idx] = Find_Consensus_VIn(C)
npart = size(C,2); % number of partitions
VIm = partition_distance(C);
VIsim = VIm + VIm';
% Average pairwise similarity
average_pairwise_simm = sum(VIsim,2)/(npart-1);
% EXTRACT PARTITION MOST SIMILAR TO THE OT... |
6bf6ba22ee21cdc857dc3e89e54e9bf61ead93947e1086fd11ad4b48b8692960 | MATLAB | 697 | 28 | function ob = cat(dim, varargin)
%|function ob = cat(dim, varargin)
%|
%| called for ob = cat(dim, ob1, ob2, ...) where any of them is a fatrix2
%|
%| vertcat(ob1,ob2) = [ob1; ob2] = cat(1, ob1, ob2)
%| horzcat(ob1,ob2) = [ob1, ob2] = cat(2, ob1, ob2)
%|
%| dim > 2 is also supported thanks to 'odim'
% purge any empt... |
8810b07d2abf806dd99144b2c43dc5c925d20bf0d8b06d1b29e42d39a0bc5044 | MATLAB | 697 | 26 | % organization of tracking data for E7 2DAA experiment
clear
p = params_2DAA;
for sub = 1:p.nSubjects
sub
for ses = 1:p.nSessions
thisSub = p.subjects(sub);
% load centroids
trackPath = fullfile(p.rootDir,'results','behavior','tracks',['subject' num2str(thisSub)],['session' num2str(ses)... |
1bc66ec76af961faa26dde72d45e25819584930b7d8f3a7419e6af5db7d081d4 | MATLAB | 698 | 34 | function trials = get_trials(session, channel, unit, fold, type)
% Get trials of specific neuron
%
% Parameters
% ----------
%
% - fold: integer scalar
% Fold number
% - type: char vector
% - Contains 'trn', 'crs', or 'tst'
%
% Returns
% -------
% - resp: 2D matrix
% (trial x time) response
result = load_result(se... |
73c2660a219387d742bdd347be286973e764df6e6eca76625648386ebd24a7e2 | MATLAB | 698 | 32 | function [x_msc]=msc(x,xref)
% Multiplicative Scatter Correction
%
% [x_msc]=msc(x,xref)
%
% input
% x (samples x variables) spectra to correct
% xref (1 x variables) reference spectra (in general mean(x) is used)
%
% Output
% x_msc (samples x variables) corrected spectra
%
% By Cleiton A. Nunes
% UFLA... |
38838184db86d9ee9b235947c027a62fd9ddcb308add302264a1dd6f7ec5ade4 | MATLAB | 699 | 20 | function [X,fs] = readdeltaFzero(filename)
X=table2array(readtable(filename,'ReadVariableNames',false,'HeaderLines',4))';
delimiter = ',';
fileID = fopen(filename,'r');
fprintf('\n> Reading CSV file: ')
fsamples = textscan(fileID, '%f',1, 'Delimiter', delimiter, 'HeaderLines', 0, 'ReturnOnError', true);
if isempty(fs... |
3ca35b10b5c975f772bbcbbab88a3ab6a5f2de8fb8c96649c24822ef2184e318 | MATLAB | 700 | 21 | function [ shuttles,no_shuttles, shuttle_times,trial_nums,trial_spds ] = get_t2_d1_shuttles(p, traces, evs, bvs, tis, speed_control,action_aligned)
%% calc scale factors per subject
for sub = 1:p.nSubjects
all_tr = cat(2,traces{sub,:});
vars(sub) = nanstd(all_tr(:));
end
scale_factors ... |
5a0b5b5312ef1a43be2785632da75bd2b64a8cf53261261fd19b184bc2d24edb | MATLAB | 700 | 29 | function write_fid_to_csv(f,file_text)
fid = fopen(file_text,'a+');
fprintf(fid,'\nSujet,Serie,TR,TE,NEX,FOV,dwell,nbpts,mega_ws,vapor_ws');
if isfield(f(1),'water_width')
fprintf(fid,',water_width,water_integral\n');
else
fprintf(fid,'\n');
end
for k=1:length(f)
fprintf(fid,'%s,%s,%d,%d,%d,[%d %d %d],... |
c3c401cd0f88a0c5aac05a9125540f8148b8c61246939af9cf69761296ff1a1a | MATLAB | 701 | 33 | function Ycs = cosmoother_pca(Y, params)
%
% Ycs = cosmoother_pca(Y, params)
%
% Performs leave-neuron-out prediction for PCA.
%
% INPUTS:
%
% Y - test data (# neurons x # data points)
% params - PCA parameters fit to training data
%
% OUTPUTS:
%
% Ycs - leave-neuron-out prediction (# neurons x #... |
618bfb858b0db51e0486f3da9dc68da796de109090ae3bb015eea093cf69415b | MATLAB | 702 | 22 | function [] = writeStringPaddedWithZeros(fid, theString, totalLength)
% [] = writeStringPaddedWithZeros(fid, theString, length) -- write the
% string padded with zeros to the specified file.
%
% INPUT:
% fid - file id
% theString - string to write
% totalLength - total number of bytes to be wr... |
3a66dc96bfd98bb029089fe8c84041485b84ae6e12ec6938f57ac35080646024 | MATLAB | 703 | 25 | function roi = readRawROI(obj, rows, cols)
%READRAWROI Get a region of interest by rows/cols from the raw file
rowPred = jrclust.utils.ismatrixnum(rows) && ~isempty(rows) ...
&& all(rows > 0) && max(rows) <= obj.dshape(1);
colPred = jrclust.utils.ismatrixnum(cols) && ~isempty(cols) ...
&& a... |
505cce3c75639920fc797c7b9385859c1dfb406381dfec07f47f4fff617ae205 | MATLAB | 703 | 22 | function projection = forwardProjectACC(psf,Xguess)
%% Forward projection from 3D volume to 2D projetion (using CPU)
%% Input:
% @psf: the phase space PSF
% @Xguess: the projection obtained from "forward project"
%% Output:
% projection: estimate volume
%
% [1] JIAMIN WU, ZHI LU and DONG JIANG etc,
% Iter... |
9254c9788ff82fcbeb956a49d0c07942333a4abee6dd405169c289e28ed8d549 | MATLAB | 704 | 40 | % nufft1_time.m
% examine time spent in nufft1 sub-routines
if 1
N1 = 1024 * 128;
J1 = 6;
n_shift = 0;
Nlist = 2 .^ [8];
Jlist = [8];
[NN,JJ] = ndgrid(Nlist, Jlist);
for ii=1:numel(NN)
N1 = NN(ii);
J1 = JJ(ii);
K1 = 2*N1;
x = [1:N1]'; % test signal
x = x(:,ones(1,1000));
gam = 2*pi/K1;
o1 = l... |
133cb31c4c60d08e95119bb97e87a787376a3002b506c4a08cfaaa1de75d0e56 | MATLAB | 706 | 13 | function [amin] = get_amin(par,nSites)
% GET_AMIN Minimum significance level.
% AMIN = GET_AMIN(PAR,NSITES) returns the minimum significance level in Equ. 19
% as a function of the treshold PAR.THRESH and number of observable components
% NSITES without the reference variable s_ref.
%
% From: "Correlati... |
bec5c74b7c8e4bd5c2c5bba342c10f35a8f7183cd520ebd41fb9246ef357b601 | MATLAB | 706 | 18 | function [data,ts,name, unit] = current_signal(app, channel_index)
%CURRENT_SIGNAL returns data, dt and max t , name and units for the current
%interval for the selected signal. adapts for the different timescale of
%derived signals
% Detailed explanation goes here
if app.data(channel_index).derived
data = app.d... |
46c75dbd4a9c06ab28121cc97bdc261c2f81b08bd8e5859bb0294db2b9367d31 | MATLAB | 707 | 24 | function region = bot_cap_region(dim,a_cap)
%BOT_CAP_REGION South polar (bottom) cap region of EQ partition
%
% An array of two points representing the bottom cap of radius a_cap as a region.
%
% region = bot_cap_region(dim,a_cap);
% Copyright 2004-2005 Paul Leopardi for the University of New South Wales.
% $Revision ... |
6d9e674925159d61d53301cef311e4c539c16dd9b95aba8fcd8a3b56982aa74b | MATLAB | 707 | 29 | %% Rate of synthesis of 5-HTP from tryptophan with bh4 as co-substract.
% b = tryptophan
% d = BH4
% UNITS IN uM and uM/h.
function a = VTPH(b, d)
k1 = 40; % Km for tryptophan Haavik05 (homo sapiens) (rats in same range)
k2 = 20; % Km for BH4 Haavik05
k4 = 1000; % (Ki is 970 in Haavik... |
a93d33541ec1a60c33bec39d2da644174400ebc9d6eab7ef6d4b42e448b54257 | MATLAB | 708 | 20 | % 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... |
c69366199007ff1de9049e5021250c59dc84a6a71727e16edcb8ad33521e36f3 | MATLAB | 708 | 19 | % Authors : Tatjana Schmitt & Simon Wadle 2019-2023
%function reads tiff stacks and scales pixels down to end size
function image = tiff_stack_import(tiff_fullpath)
info = imfinfo(tiff_fullpath);
stack_size = size(info,1);
rows = info(1).Height;
columns = info(1).Width;
% preallocate resized_image
image = ze... |
53871e2df82dd2b9925915e02c915c63c5af2940b192c72cf4881273248af7d0 | MATLAB | 709 | 22 | function n_collars = num_collars(N,c_polar,a_ideal)
%NUM_COLLARS The number of collars between the polar caps
%
% Given N, an ideal angle, and c_polar,
% determine n_collars, the number of collars between the polar caps.
%
% n_collars = num_collars(N,c_polar,a_ideal);
% Copyright 2004-2005 Paul Leopardi for the Unive... |
88abd17af7450419afd31d6bcf6d15af10ad21f2b81541c2e7641e8c6bde7673 | MATLAB | 709 | 23 | function [I, end_of_beat_indexes] = ECGPhaseToMatrix(phase, N)
% Converts ECG phase signal of length T into a matrix of N phase bins with the same length
% (used to calculate a binary image/matrix representation of the cardiac phase)
%
% Copyright Reza Sameni, 2021
% The Open-Source Electrophysiological Toolbox
% https... |
32ead9c2f5861bb36fd1a012fd073ee0f9149004fd00f2ea59eac25f55d1bddb | MATLAB | 713 | 22 | % An example script for extracting features from ECG signals
% Authors:
% Seyedeh Somayyeh Mousavi
% Reza Sameni
% bmemousavi@gmail.com
% Aug 2026
% Emory University, Georgia, USA
% ====================================================================
clc
clear
close all
% ============================================... |
8078b6007fcf1b627df6ffed1b84c2e4977d50ed5cd9bb32e67241a82b13b717 | MATLAB | 713 | 16 | %% Example 4: Visualize trial-averaged neural trajectories of maze data
% The dataset corresponds to Section 3.3 in the DataHigh JNE paper. It
% provides many conditions (27) than the center-to-out reach task.
% For the maze task, the monkey had to make arm movements
% around barriers to obtain the target.
% These n... |
d298f8ad2dca72cf5ba73b431dcd8267483b903f9528e0e07bd2b275aa8036a5 | MATLAB | 713 | 22 | % 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,... |
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