sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
4dd07a22b2ca2e5133080b408bebc791731ad2ab305e9d9d8d56022fabfcb8d8 | MATLAB | 2,118 | 75 | clear
[task_info,supPath] = loadDBAndSpecifyDataPaths('Golda');
timeWindow = -200:200;
probabilities = [25,75];
raster_params.time_before = 200;
raster_params.time_after = 800;
raster_params.smoothing_margins = 200;
raster_params.align_to = 'cue';
corr_window = raster_params.time_before + (50:250);
req_params.grad... |
474d9b9728bf73201a14a8bd856c45675475558fb073096b879caffe32bbff29 | MATLAB | 2,121 | 48 | %Reorders electrode contact labels.
%05/27/2021: checked that this works for new Emory electrode nomenclature (i.e. "A'1"
%for example).
%2024/02/26
function [labels_array,labels_index]=reorder_elabels(labels_array)
temp_labels=cellfun(@(x) strsplit(x,'-'),labels_array,'UniformOutput',false); %first do this i... |
53f8aa61610bde1f5843bd98db9a864f2ea8be1a90cf790f244908f40b7b9e3a | MATLAB | 2,121 | 58 | function [fx] = f_BSL(x,theta,u,in)
% evolution function for a Bayesian sequence-learner (BSL)
% function [fx] = f_BSL(x,theta,u,in)
% BSL is simply tracking the log-odds of P(y_t=1|y_{t-1}), where y is a
% binary outcome. This variable is updated according to a Laplace-Kalman
% filter, yielding 2 sufficient statistics... |
f2a1cac94880884d004bccb89644336fff427c04c6cad470641d4134ec028893 | MATLAB | 2,121 | 69 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Program to damp Gibb's Oscillation in FFTs
% mixing one side into the other, with a gaussian weight
%
% by Reto Fiolka, 7.11.2008
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function c=DampEdgeC(a,w)%Bild ein... |
8a43811c7a0b1ed00390608f36fcfbc60008fb649a97e7897a8c3b50339f3e23 | MATLAB | 2,124 | 69 | % Actigraphy Toolbox Demonstration
%
% $Author: Peng Li
% $Date: Mar 09, 2026
%
clc; close all; clear;
y = load('./test/case_5_20140319100100_epoch15.txt');
y = y(:, 1);
% construct the acti object
% note that acti is a value class subclassed from timeseries
% every instance just stores a copy
% a... |
056d7d29c8add14119b95b53c49dd1e219cb8a06eb9d43c7c49fde7aac909ef0 | MATLAB | 2,125 | 68 | function vtc = bv_readvtc(fname)
% vtc = bv_readvtc(fname)
%
% :description
%
% Reads in a version 1 or 2 BrainVoyager VTC file.
%
% :inputs
%
% fname file to read, e.g. 'mytimecourse.vtc'
%
% :outputs
%
% vtc vtc structure. List this function to see the field
% names.
%
% :h... |
b9655858ad2f6cbd0a78a3aced816ac607b8078c40ca911328c8130bda4ee8b5 | MATLAB | 2,126 | 54 | %This script analyzes data from the spep task from begining to end.
%2024/02/25
%% Set dataset directory and dependent repos:
[root_dir,repo]=define_flicker_root_dir;
for field_name=fieldnames(repo)'
addpath(genpath(repo.(field_name{:})));
end
%note: can use function fetch_flicker_subjectIDs to get list of sessio... |
374f4f185111fcbe43678ed06e7fb0f6e5c3436bdb2c98148575eec41ca02ab9 | MATLAB | 2,130 | 90 | clear
[task_info,supPath] = loadDBAndSpecifyDataPaths('Vermis');
req_params.grade = 7;
req_params.cell_type = {'PC ss', 'PC cs', 'CRB','SNR', 'BG msn'};
req_params.task = 'saccade_8_dir_75and25|pursuit_8_dir_75and25';
req_params.ID = 4000:6000;
req_params.num_trials = 100;
req_params.remove_question_marks = 1;
lines... |
ee53c84b56368d9e83e34d93e40d5c5b213a475637c8ca17b863612709891baa | MATLAB | 2,131 | 77 | %
% [Sout,SNout] = Sout_vsh_ctf(r_sphere,R,EX,EY,EZ,Lout)
%
% Calculate the external SSS basis Sout for a CTF system
% using vector spherical harmonics
%
function [Sout,SNout] = Sout_vsh_ctf(r_sphere,R,EX,EY,EZ,Lin)
% Copyright (c) 2016, Elekta Oy
% ---------------------------------------
%
% Redistribution and use o... |
3a7150c6e2308a6a5ea6c6679d1c5547a6706ab8db9e8f31f9ce6b8dea7e9588 | MATLAB | 2,133 | 48 |
clear all
close all
addpath('/Volumes/LASA/TBI_OpenNeuro/TBI_openneuro/Hopf_model/TBI_ON_Lesions_Hopf_mask1halfSD_bin/outputs/Grange/');
addpath('/Volumes/LASA/TBI_OpenNeuro/Shared_code/TBI_ON_Lesions_Hopf_mask1halfSD_bin/');
outdir='/Volumes/LASA/TBI_OpenNeuro/TBI_openneuro/Hopf_model/TBI_ON_Lesions_Hopf_mask1halfSD... |
f810a872ade21d491978177e33b3b54997785c79b616aac0e697c062113c1709 | MATLAB | 2,133 | 59 | function [stitchedVolume,volCell]=stitchVolume(volCell,tformCell)
sizeCell=cellfun(@(v) size(v),volCell,'unif',0);
assert(all([(cellfun(@(s) all(sizeCell{1}==s),sizeCell))]));
% Compute the new output limits
for vIdx=1:length(volCell)
[xLimitsOut(vIdx,:),yLimitsOut(vIdx,:),zLimitsOut(vIdx,:)] = outputLimits(tformCe... |
fe5cda96c3a0e4109dfc397771f6e9e499715f8868cd5caf35abf949d0446cff | MATLAB | 2,134 | 86 | clear all
%%
load("neurons_by_hand_1.mat");
load("neurons_reconstructed_max_2.mat");
load('Dataset1.mat')
cdim=1;
swscd=size(wholestack,2);
for i=1:numel(neurons_reconstructed_max_2)
neurons_reconstructed_max_2(i).coords(:,cdim)=-1.*neurons_reconstructed_max_2(i).coords(:,cdim)+swscd;
end
factor=1;
... |
09035a6b72aea1b402b4f4541f82d00a70d3343fac0c299cfc61b0bf7fb9df38 | MATLAB | 2,137 | 90 | function [coh, coh0, w, varargout] = wcoh(y, x, dim, w)
%[coh,coh0,w] = wcoh(y,x,dim,w);
%Compute robust estimate of coherence based on a iterative weighted procedure,
%according to Chave et al. 1987
if nargin<3 || isempty(dim),
dim = find(size(x)>1, 1, 'first');
end
if nargin<4,
w = ones(size(y)); %weights
... |
f4c423bf8f68a454a2884d404c7e3aec0d4e6a523e78e66bcd7736a28b7a1947 | MATLAB | 2,137 | 70 | function [subj] = load_bv_mask(subj,new_maskname,filename,varargin)
% Loads an AFNI dataset into the subj structure as a mask
%
% [SUBJ] = LOAD_BV_MASK-AA(SUBJ,NEW_MASKNAME,FILENAME,...)
% Author: Alex Ahmed (alex.ahmed AT yale DOT edu)
% License:
%===================================================================... |
3d8a7cb61e3cbc3c5557da2ad0123ba3adb23723a0dab9acb1e0cd6ddb66fdbb | MATLAB | 2,138 | 46 | function [anterdir,posterdir,dorsaldir,ventraldir,leftdir,rightdir]=apdvlr_axes_2(coords,guess,scale_factor,str, normal_vector,chosen_point)
midpoint=mean(coords,1,'omitnan')';
[coefs,~]=pca(coords);
dorsaldir_counter=0;
for i=guess(:)'
dorsaldir_counter=dorsaldir_counter+dot(midpoint,normal_vector)-dot(normal... |
70a3430e85a3abb0c10d381bea5f26e8079fc0592f1e0539eaab47803a2c5aed | MATLAB | 2,138 | 51 | % @title Generate synaptic connection inside organoid based on distance between neurons
% @file syncon_single.m
% @author Romain Beaubois
% @date 06 Aug 2021
% @copyright
% SPDX-FileCopyrightText: © 2020 Romain Beaubois <refbeaubois@yahoo.com>
% SPDX-License-Identifier: GPL-3.0-or-later
%
% @detai... |
dd84f100422a8474e27bf2a55164c54b412c287b1a0c45735ccf97c639a67ad6 | MATLAB | 2,138 | 69 | function [subj masknames] = combine_masks(subj, func, newmask, varargin)
% Combines two masks together using a given function.
%
% Usage:
%
% [SUBJ] = COMBINE_MASKS(SUBJ, FUNC, NEWMASK, MASK1, MASK2, ...)
% [SUBJ MASKNAMES] = COMBINE_MASKS(SUBJ, FUNC, NEWMASK, REGEXP)
%
% Combines either a list of masks or all masks... |
fc22155b66fe9fc4f4ff19faa5a45e7167c0f3588f49f6c1827fbc321f808584 | MATLAB | 2,138 | 63 | clear all
% Author: Alex Ahmed (alex.ahmed AT yale DOT edu)
% License:
%=====================================================================
%
% This is part of the Princeton MVPA toolbox, released under
% the GPL. See http://www.csbmb.princeton.edu/mvpa for more
% information.
%
% The Princeton MVPA too... |
1eb99f48c1536641c9fb52d2609019a2cfed19425f275cca58d0ffdc9c38b8bc | MATLAB | 2,142 | 65 | function [linecolors, linestyles, linewidths] = SetDataPlotLineStyles(handles, iCh)
global maingui
datatype = GetDatatype(handles);
ml = GetMeasurementList(handles);
linecolorsAvailable = maingui.axesData.SDPairColors;
linestylesAvailable = {'-',':','-.','--'};
linewidthsAvailable = [1.5, 2.0, 1.5, 1.... |
740400da61b77b1305a5dab8865129dc1849861e81228e26603b8563a01103a6 | MATLAB | 2,142 | 58 | function display_motion_field_bw(ima,motionField,figNo,title,removeMean)
% DISPLAY_MOTION_FIELD_BW Displays a motion field in BW
%
% display_motion_field_bw(ima,motionField,figNo,title,gamma,removeMean)
%
% INPUT ARGUMENTS
% motionField - Motionfield to display
% figNo - Figure number to displ... |
18776ba5792e28ca2851680ab3a38d7cb6bcc5b3e1f7208da71e20f57590afc0 | MATLAB | 2,143 | 71 | function [clustmask] = make_clust(mask,clust_size,args)
% Removes singletons from a mask
%
% [clustmask] = make_clust(mask,clust_size,args)
% License:
%=====================================================================
%
% This is part of the Princeton MVPA toolbox, released under
% the GPL. See http://www.csbmb.p... |
fa3f34897519f93d36b3dd1ba7c7ad3e752b0f1816ab56b04530cf39fd9f04da | MATLAB | 2,143 | 78 | function imageStack=Kalman_Stack_Filter(imageStack,gain,percentvar)
% function imageStack=Kalman_Stack_Filter(imageStack,percentvar,gain)
%
% Purpose
% Implements a predictive Kalman-like filter in the time domain of the image
% stack. Algorithm taken from Java code by C.P. Mauer.
% http://rsb.info.nih.gov/ij/plu... |
ad0507b5b288c70e5f12d362c467d15f6d600eaea8c0194cbfce4f3873721a9b | MATLAB | 2,144 | 61 | function dims = spm_extract_voxel_dims(subj, objtype, objname)
% This function accesses the header.vol area of a pattern generated from
% the load_analyze_pattern function and returns the voxel dimensions of
% that object for use in other pieces of software or just for basic
% reference.
%
% [dims] = SPM_EXTRAC... |
c06bf692bf77c83db7986e75c3d2595dea377adaf3628f3913be270e19069b4e | MATLAB | 2,145 | 71 | function [acts scratchpad] = test_corr(testpats,testtargs,scratchpad)
% Correlation-based classifier testing
%
% [ACTS SCRATCHPAD] = TEST_CORR(TESTPATS,TESTTARGS,SCRATCHPAD)
%
% This is the main function for the correlation-based classifier, akin
% in spirit to the one used in Haxby (2001). It compares each test
% bra... |
a258c830f220391327ef57da7c6ce35d4a688f872ec3ba4e5d307439db8bb30f | MATLAB | 2,152 | 51 | %% Stats for max-3SAT with 6-9 nodes
clear all; close all; clc;
blue_70=[0,67,206];blue_60=[15,98,254];blue_50=[69,137,255];blue_40=[120,169,255];dark_green=[0,93,93];ibm_pink=[208,38,112];purple_40=[190,149,255];purple_60=[138,63,252];purple_70=[105,41,196];yellow_gold=[255,192,0];orange=[221,99,47];green=[0,128,0];... |
bec4a26246d3927e9ac217eb16152b6205a741da8bdaecab22ece8d73350ba96 | MATLAB | 2,152 | 87 | function [errs warns] = unit_create_xvalid_oddeven(subj)
% Unit test for CREATE_XVALID_ODDEVEN.M.
%
% [ERRS WARNS] = UNIT_CREATE_XVALID_ODDEVEN(SUBJ)
errs = {};
warns = {};
[errs warns] = basic_case(errs,warns);
[errs warns] = uneven_nruns(errs,warns);
% alert the user if there are any problems
[errs warns] = aler... |
e58da225f298502051105e70cbf3eed054756e918403347a9d6ca5d7629a09cd | MATLAB | 2,155 | 82 |
function [dff, raw] = calc_dff_NH(Mr, Mask,n);
% n number of ROIs,
%Mask cells for ROI defined with x and y based on ginput function
%Getting mean of lowest 100 pixel intensities/frame for bckgrdsub
% background = [];
% [x,y,z] = size(Mr);
% for j = 1:z
% frame = Mr(:,:,j);
% sortedpixels = sort(frame(:))... |
55391d9432d6eac611ac936a9e02b422d9e22083f5cb6165f038dcebe50a4e14 | MATLAB | 2,157 | 74 | function [pval] = compute_pval_1tailed(actual, nulls)
% Figures out where the actual-goodness value lies relative
% to all the null distribution of shuffled-goodness
% values, giving us a p value.
%
% N.B. This is a one-tailed test (more power).
%
% NULLS = vector of values that make up our null
% distribution (genera... |
5346b9acc2bd9ef7e9ae2fdc819f1d60f102f8093a211a34bc020fcdac9be76d | MATLAB | 2,158 | 62 | function univ_chosen_action_val_2nd()
cfg = load('neurovar_cfg.mat').cfg;
n_sub = 44;
clear matlabbatch
%% Contrast Chosen Action Value
con_dir = fullfile(cfg.global.deriv_dir, 'pipeline_chosen_action_val_2nd', 'con_chosen_action_val');
mkdir(con_dir);
index = 1;
... |
2a6bd271ce45d7f5cf3f730454ed282fc9f11024eb517791f10d04ee33913831 | MATLAB | 2,159 | 69 | % This script puts trial number to all the event markers. It does not
% delete any event from data. It also does not mark an event as good or
% bad. It just gives an additional level to the event marker, which
% can be used to exclude unwanted trials from analysis.
% Find the index of last event marker
lasteve... |
b6bb6cda2f277ca1d20bb4ef43c91079cbea82f4ab5dffbf0826885c9806e359 | MATLAB | 2,159 | 94 | function my_export_fig(varargin)
% my_export_fig
% my_export_fig((f_handle), (savename), (type), (pad))
%
% Make matlab print to the correct size of the figure on the screen
%
% pad can be positive or negative to either increase or decrease the
% whitespace around the figure
%
% type is usually unnecessary if extension... |
2f0ce347f5c730e56b7878400ca54830423e2a97778ff8d75cb6ee7b4aaab847 | MATLAB | 2,161 | 64 | function plotStep(K_1, K_2, K_0, I, learn_color)
%% plotStep(K_1, K_2, K_0, I, learn_color)
%
% Plots step response before and after learning
T_smooth = 0.02; % (s) % 0.01
T_step = 0.25; % (s) Time to go out for step
amp = 10; % (deg/s) Scale for step
dt = K_1.dt;
tt_step = (-.05:dt:T_step)';
% Gen... |
10401edb8146c471adc84f8199418b2db295fdbb17d3025aec9d5103b020dd3b | MATLAB | 2,162 | 72 | function histmat = hist2(x, y, xedges, yedges)
% function histmat = hist2(x, y, xedges, yedges)
%
% Extract 2D histogram data containing the number of events
% of [x , y] pairs that fall in each bin of the grid defined by
% xedges and yedges. The edges are vectors with monotonically
% non-decreasing values.
%
%EX... |
4cee31079695d082d96ccb5cca1fbf539ff57d2e2488a547e8e54b119c084205 | MATLAB | 2,162 | 66 | function [transformationMatrix, rotationMatrix, shearMatrix, scaleMatrix] = ...
create_transformation_matrix2d(varargin)
% CREATE_TRANSFORMATION_MATRIX2D Create a 2D transformation matrix
%
% [transformationMatrix rotationMatrix shearMatrix scaleMatrix] = ...
% create_transformation_matrix2d()
%
% INPUT ARGUMENT... |
9d66641f6fad9420498503de70b0b334b7e21c0275ff0987b03a1225faa17550 | MATLAB | 2,163 | 44 | function output=calculateSCE(singleTrace,minPhot,maxPhot,photsmW)
xM=singleTrace.x(1:end-1);yM=singleTrace.y(1:end-1); %FPGA derived position estimate (x,y)
dt=singleTrace.dt;t=[0;cumsum(dt(1:end-2))]; %time in measurement
nx=singleTrace.nx(2:end,:);NX=sum(nx,2); %photons by exposure for x localizations and total numb... |
6923634b8fdaf477b92930d01fd1cd913572a9db0703bc6b487d8b607c2dbf02 | MATLAB | 2,164 | 87 | function [p2_closest, ip2_closest, dmin] = nearest_point(p2, p1, ith_closest)
%
% Usage:
%
% [p2_closest ip2_closest] = nearest_point(p2,p1)
%
% Description:
%
% Find the points in p2 that are nearest to the points in p1.
%
% AUTHOR: Jay Dubb (jdubb@nmr.mgh.harvard.edu)
% DATE: 11/13/2008
%
% Updates:
%
% 01/21... |
d6587066444aff751928a1b42e00c4f7105789c08efa10eab738f3778e643d7e | MATLAB | 2,165 | 85 | function [ ts_MC_ARFIMA ] = func_mcARFIMA( input_struct )
%UNTITLED33 Summary of this function goes here
% Detailed explanation goes here
N = input_struct.N;
alpha = input_struct.alpha;
beta = input_struct.beta;
gamma = input_struct.gamma;
delta = input_struct.delta;
d1 = input_struct.d1;
d2 = input_struct... |
2580b6191394983ad6f3191879b18275015f2a7908a1174efae54b59aea6b29e | MATLAB | 2,170 | 50 | function overlapvolumecombinedwsubtbi02 = importfile(filename, startRow, endRow)
%IMPORTFILE Import numeric data from a text file as a matrix.
% OVERLAPVOLUMECOMBINEDWSUBTBI02 = IMPORTFILE(FILENAME)
% Reads data from text file FILENAME for the default selection.
%
% OVERLAPVOLUMECOMBINEDWSUBTBI02 = IMPORTFILE(FIL... |
5690e005cd6f02dac0ee869169a31ec1196c8114390e3c6821847e1af0bf4f24 | MATLAB | 2,170 | 50 | function overlapvolumecombinedwsubtbi07 = importfile(filename, startRow, endRow)
%IMPORTFILE Import numeric data from a text file as a matrix.
% OVERLAPVOLUMECOMBINEDWSUBTBI07 = IMPORTFILE(FILENAME)
% Reads data from text file FILENAME for the default selection.
%
% OVERLAPVOLUMECOMBINEDWSUBTBI07 = IMPORTFILE(FIL... |
677eea64ef98f6fcfb84497ae2889a36aa46f9d6d336a203429fc44210db5a9c | MATLAB | 2,170 | 50 | function overlapvolumecombinedwsubtbi06 = importfile(filename, startRow, endRow)
%IMPORTFILE Import numeric data from a text file as a matrix.
% OVERLAPVOLUMECOMBINEDWSUBTBI06 = IMPORTFILE(FILENAME)
% Reads data from text file FILENAME for the default selection.
%
% OVERLAPVOLUMECOMBINEDWSUBTBI06 = IMPORTFILE(FIL... |
b1b042aefd206f23688885bb3b5be35a9dec215a1440fddbcf73348c96f2d12e | MATLAB | 2,170 | 50 | function overlapvolumecombinedwsubtbi10 = importfile(filename, startRow, endRow)
%IMPORTFILE Import numeric data from a text file as a matrix.
% OVERLAPVOLUMECOMBINEDWSUBTBI10 = IMPORTFILE(FILENAME)
% Reads data from text file FILENAME for the default selection.
%
% OVERLAPVOLUMECOMBINEDWSUBTBI10 = IMPORTFILE(FIL... |
b1c43060b40b5b37cbdaee484218c9eb8fb34cb9f00789755d33eaf0bb4b71fa | MATLAB | 2,170 | 50 | function overlapvolumecombinedwsubtbi11 = importfile(filename, startRow, endRow)
%IMPORTFILE Import numeric data from a text file as a matrix.
% OVERLAPVOLUMECOMBINEDWSUBTBI11 = IMPORTFILE(FILENAME)
% Reads data from text file FILENAME for the default selection.
%
% OVERLAPVOLUMECOMBINEDWSUBTBI11 = IMPORTFILE(FIL... |
b9b5f8703735c1e9c06df11de8276aad12bbb2d242a040a81881c9e9e78d3242 | MATLAB | 2,170 | 49 | function dimensions = yOCTLoadInterfFromFile_ThorlabsHeaderLambda(inputDataFolder,OCTSystem,chirp)
%This script figures out what is lambda of the data folder
% Optional inputs, if they are unknown, we will figure them out
% chirp - if we have it (otherwise set to [])
%% Figure out basic Parameters
%To get la... |
bbd5a8ff459e809f50ff0c87eeb42b6cfb6262c14459acb0e8d2402f7acfab06 | MATLAB | 2,170 | 50 | function overlapvolumecombinedwsubtbi14 = importfile(filename, startRow, endRow)
%IMPORTFILE Import numeric data from a text file as a matrix.
% OVERLAPVOLUMECOMBINEDWSUBTBI14 = IMPORTFILE(FILENAME)
% Reads data from text file FILENAME for the default selection.
%
% OVERLAPVOLUMECOMBINEDWSUBTBI14 = IMPORTFILE(FIL... |
c83343b47ae8824ecf29505efea9ed56191d9c807ffeb1f0ad38c2ae50b2e1eb | MATLAB | 2,170 | 50 | function overlapvolumecombinedwsubtbi04 = importfile(filename, startRow, endRow)
%IMPORTFILE Import numeric data from a text file as a matrix.
% OVERLAPVOLUMECOMBINEDWSUBTBI04 = IMPORTFILE(FILENAME)
% Reads data from text file FILENAME for the default selection.
%
% OVERLAPVOLUMECOMBINEDWSUBTBI04 = IMPORTFILE(FIL... |
d6e1e1d90d777e9c2955f63eededa2266119bbdbc6e85cc385f2528a70ca9379 | MATLAB | 2,170 | 50 | function overlapvolumecombinedwsubtbi03 = importfile(filename, startRow, endRow)
%IMPORTFILE Import numeric data from a text file as a matrix.
% OVERLAPVOLUMECOMBINEDWSUBTBI03 = IMPORTFILE(FILENAME)
% Reads data from text file FILENAME for the default selection.
%
% OVERLAPVOLUMECOMBINEDWSUBTBI03 = IMPORTFILE(FIL... |
e93362031c77e506f986237bf60c93b78fb2c90c552edb5ec6e6dbbecdb99f56 | MATLAB | 2,170 | 50 | function overlapvolumecombinedwsubtbi08 = importfile(filename, startRow, endRow)
%IMPORTFILE Import numeric data from a text file as a matrix.
% OVERLAPVOLUMECOMBINEDWSUBTBI08 = IMPORTFILE(FILENAME)
% Reads data from text file FILENAME for the default selection.
%
% OVERLAPVOLUMECOMBINEDWSUBTBI08 = IMPORTFILE(FIL... |
e9e4e8c26ba85036c3852d69a318a0a68c04fb9c492e31b5016365888e49a629 | MATLAB | 2,170 | 50 | function overlapvolumecombinedwsubtbi05 = importfile(filename, startRow, endRow)
%IMPORTFILE Import numeric data from a text file as a matrix.
% OVERLAPVOLUMECOMBINEDWSUBTBI05 = IMPORTFILE(FILENAME)
% Reads data from text file FILENAME for the default selection.
%
% OVERLAPVOLUMECOMBINEDWSUBTBI05 = IMPORTFILE(FIL... |
a898940129977767c0c469143983ad5de69824ceab16c4e702887ebe51b731db | MATLAB | 2,172 | 74 | %Loads in the data and runs scripts to make figures
clear all; close all;
% set paths
current_path = pwd;
if ismac
addpath(strcat(current_path, '/data'));
addpath(strcat(current_path, '/subtightplot'));
else
addpath(strcat(current_path, '\data'));
addpath(strcat(current_path, '\subtightplot... |
90ac665414a400c1eaa69d5e19ab750265b55611e266a2a4f58767b1c9dbb84d | MATLAB | 2,173 | 60 | function PatternChange_Regression_Behav_2nd()
cfg = load('neurovar_cfg.mat').cfg;
n_sub = 44;
%% Beta Contrast
clear matlabbatch
con_dir = fullfile(cfg.global.deriv_dir, 'PatternChange_Regression_Behav', 'rpe_PatternChange_ActionChange_2nd');
mkdir(con_dir);
index = 1;
... |
cbcde91e907d0af85a7c59c8f4b399ac9152176fc4444edebef75ae16b001fa7 | MATLAB | 2,174 | 61 | % unit test of mv_stat_wilcoxon_ranksum
rng(42)
tol = 10e-10;
% example X with duplicates for debugging:
% X = [10 -4 ; 1 10; 40 4; 10, -20; 0 -2; -30 20; 40 2; -10 10]
%% U-statistic using example from https://sphweb.bumc.bu.edu/otlt/mph-modules/bs/bs704_nonparametric/BS704_Nonparametric4.html
placebo = [7.1 5 6 4 ... |
ccf3d9eaf4c35fc466b6fe1c634e35cdb3201f91ebc9cdd8f60711001e6b775e | MATLAB | 2,174 | 67 | function out = check_verbosity(msg,rule)
% This function checks if a message at the same function level has been
% displayed before. The output can be used to conditionally switch on or
% off the display of these messages.
%
% Input:
% msg: Message that is displayed in that function
% rule: Rule us... |
11625b1275a33f207296d8206c054ffc48afa24d0410e51f0783b7a937e14574 | MATLAB | 2,176 | 49 | % Calculate and save single-trial HRF bc it's taking forever
saveDir = 'C:\Users\mn0mn\Documents\ResearchProjects\spatailAttentionProject\RawDatafNIRS\Experiment03';
load([saveDir filesep 'intermediateOutputs.mat']);
rejectedChn = find(mlActAuto{1}==0);
% need to save old stim and compare with new stim var
%rejectedTr... |
9b8dc8727c6a555ab1319623346f19b8d1ae3ed4d1d5984cb3f019c8f2177622 | MATLAB | 2,178 | 51 | function ADE = estimate_average_displacement_error(displacementField1,displacementField2,mask)
% ESTIMATE_AVERAGE_DISPLACEMENT_ERROR Estimates the average displacement error
%
% ADE = estimate_average_displacement_error(displacementField1,displacementField2,mask)
%
% INPUT ARGUMENTS
% displacementField1 - Displaceme... |
fdd3f3f10a8cbb924341434260200198f1b71b02cf12486b15b88ce961027b04 | MATLAB | 2,178 | 78 | function bids_setup(p)
% function bids_setup(p)
%
% Creates a folder structure according to the BIDS organizational standard.
% More information at:
% http://reproducibility.stanford.edu/bids-tutorial-series-part-1a/#man2
%
% Input:
% - p: Structure with analysis parameters, including base directory of
% the p... |
5b2a7db558dc60e2d1e0d623ab7176b4f285545f600b73c2b1bc206aa64d2a64 | MATLAB | 2,179 | 47 | % function for performing input quality control for UTIL_ITC and UTIL_RC
function [type,Amt1,Var1,Amt2,Var2,data] = UMQC(type,choice,Amt1,Var1,Amt2,Var2,whatisvar)
% 1. Convert everything to column vectors
choice = choice(:);
Amt1 = Amt1(:);
Var1 = Var1(:);
Amt2 = Amt2(:);
Var2 = Var2(:);
... |
62bc30cddfaf2f4d167f747ae34efd6583df9f0efa759d2154774e9a76593540 | MATLAB | 2,179 | 51 | %% Stats for maxCut with 6-7-8-9 nodes
clear all; close all; clc;
blue_70=[0,67,206];blue_60=[15,98,254];blue_50=[69,137,255];blue_40=[120,169,255];dark_green=[0,93,93];ibm_pink=[208,38,112];purple_40=[190,149,255];purple_60=[138,63,252];purple_70=[105,41,196];yellow_gold=[255,192,0];orange=[221,99,47];green=[0,128,0... |
be4a4f2fa3c8b98ba5d422ac4c3d2a709de9dc632927f42dc414c6c7185d441d | MATLAB | 2,179 | 70 | clear all
close all
format compact
clc
% script to calculate the statistics for each scan given this will currently only run if distances have been measured
% for all included scans (UsedSets)
MaxDist=20; %outlier thresshold of 20 mm
time=clock;time(4:5), drawnow
dataPaths = {'/home/dichang/code/related_work/u-mvsn... |
9556db5b30d1244fd1d8614aa2746dab6586548a69dda6e14211d1837174c29b | MATLAB | 2,180 | 82 | clear
[task_info,supPath] = loadDBAndSpecifyDataPaths('Vermis');
SD = 15;
raster_params.time_before = 350;
raster_params.time_after = 800;
raster_params.SD = SD;
raster_params.smoothing_margins = SD*5;
corr_window = raster_params.time_before + (50:250);
req_params.grade = 7;
req_params.ID = 4000:6000;
req_params.r... |
9f8e6efa870562c4fb52daab7ea2d51b75927c41d55efbfc18596593762eed0f | MATLAB | 2,181 | 67 | function spots_filtered=bd3dq(single_volume,thresholds,sizes_local,zsizes_local,sigmas_local,voxel_size,max_spotnum)
sizes=round(sizes_local./voxel_size(1));
zsizes=round(zsizes_local./voxel_size(3));
sigmas=round(sigmas_local./voxel_size(1));
filtersize=[sizes sizes zsizes];
% volume LOG filtering
h=-fspecia... |
308f038d3e0b67cb52fd1b12256fa9ebb7c0c8f1097a0f5c3d443bf554e21c05 | MATLAB | 2,183 | 62 | function prior = mlpprior(nin, nhidden, nout, aw1, ab1, aw2, ab2)
%MLPPRIOR Create Gaussian prior for mlp.
%
% Description
% PRIOR = MLPPRIOR(NIN, NHIDDEN, NOUT, AW1, AB1, AW2, AB2) generates a
% data structure PRIOR, with fields PRIOR.ALPHA and PRIOR.INDEX, which
% specifies a Gaussian prior distribution for the netw... |
e1676cd26e79e5f0e46904a70850c42ded65804f628a6faabc108ecda5fb6bae | MATLAB | 2,183 | 55 | function d0 = VORsensitivityGetData(filepath, freq)
% For run_sensitivity.m
%
% DAT = VORsensitivityGetData('C:\Dropbox\rlab\model\data\data_100HzEyeFilter', 0.5)
% Gives gain (relative to stimulus) and phase in radians. Negative phase =
% phase lag
if freq == 0.5; freqstr = '05'; else
freqstr = num2str(freq);
end... |
405209f73114e710a567f034f8834b5f3bea854cb5b085c5c78e9a2ae29c464a | MATLAB | 2,184 | 85 | % @title Output neuron properties for a given type
% @file ntype_to_params.m
% @author Romain Beaubois
% @date 06 Aug 2021
% @copyright
% SPDX-FileCopyrightText: © 2021 Romain Beaubois <refbeaubois@yahoo.com>
% SPDX-License-Identifier: GPL-3.0-or-later
%
% @details
% > **08 Mar 2021** : file creat... |
9f7419cff37606a7150aa802dd2f8a4455a166f3c649b71779e496be7c4823de | MATLAB | 2,184 | 64 | N = 500;
replicates = 10;
iter = 200;
newtonIter = 200;
sparsity = 0.01;
SRtarget = linspace(1, 5, 10);
residualTresh = 1e-6;
stepConvergedIter = zeros(length(N), replicates);
stepConvergedNewton = zeros(length(N), replicates);
wasSolutionSame = zeros(length(N), replicates);
defactoSR = zeros(length(N), replicates);
%... |
a198ef8b9ab2e765fb37b153f24d16c6f60f8c5954539b244b97d59e47f605de | MATLAB | 2,185 | 70 | function [subj new_maskname] = intersect_masks(subj,mask1name,mask2name,varargin)
% Creates a new mask that's an intersection of two masks.
%
% [SUBJ NEW_MASKNAME] = INTERSECT_MASKS(SUBJ,MASK1NAME,MASK2NAME,...)
%
% Gets both masks, checks they're the same size, and then does an
% AND on them to create a new mask that... |
7812dfd371d7d8275e9e4609a3c88f4621fff78edcdb26baed97936cf696550d | MATLAB | 2,186 | 71 | %% Get summaries of burst and arrange data
%
% Vinding, M. C., Eriksson, A., Low, C. M. T., Waldthaler, J., Ferreira, D., Ingvar, M., Svenningsson, P., & Lundqvist, D. (2021). Different features of the cortical sensorimotor rhythms are uniquely linked to the severity of specific symptoms in Parkinson's disease. medRxi... |
16712cfa0aa5495b8baee4f3115d18a5aa85aca50861e831a5a65cc34b555497 | MATLAB | 2,189 | 71 | function Res = finalFigurePlots_rev1( Res, ResShuf, modelMaps, varargin )
% Classify BVCs and plot basic spatial props %
% Load global parameter file
prms = globalParams_final;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Plotting - which figures to plot %
prms.plotClassFig ... |
53a2234681ddce0237b37a5d8aa4905c4d13be0059d779ec2266c577bac390db | MATLAB | 2,189 | 83 | % ConvertBasler2Whl_All - Convert Basler data of all the sessions and
% concatenate them
%
% USAGE
%
% ConvertBasler2Whl_All(filebasename,<options>)
%
% filebasename basename of the video file (should be filebasenmae.avi)
% <options> optional list of property-value pairs (see table below)
%
% ======... |
5427f68c43babd87bef823a49baa04d931fc9426e17c0da3a43a98e024d7e117 | MATLAB | 2,189 | 75 | function test_suite = test_bids_examples %#ok<*STOUT>
try % assignment of 'localfunctions' is necessary in Matlab >= 2016
test_functions = localfunctions(); %#ok<*NASGU>
catch % no problem; early Matlab versions can use initTestSuite fine
end
initTestSuite;
end
function test_bids_examples_basic()
% Test ... |
7e09e06df45bfb74f192bbf4d55149baac62ae63c241c1742de08d2ec4db6257 | MATLAB | 2,189 | 66 | function pSVR_plot_bfca_across_trial(p)
% Get relevant variables from 'p'
labels = p.psvr.all_labels;
delay = p.psvr.delay;
%%% Plot %%%
% Define colors and positions for significance bars
colors = {[0 170 0]./255; [255 85 85]./255; [179 128 255]./255; [255 212 42]./255};
sig_pos = [39 38 37 36];
f = figure;
hold o... |
0ec4fff6893654a11efbf97be3578fac344b07b1fd2519a975585c5959ef259c | MATLAB | 2,191 | 53 | clear all;
L = [8 8];
M = [5 5];
A = 2;
%%%%%%%%%%%%%%% TEST FOR ORTHONORMALITY OF Spherical Harmonic Functions %%%%%%%%%%%%%%
% spharm_vec.m is vectorised wrapper for spharm.m
%fun = @(theta,phi) spharm_vec(theta,phi,L(1),M(1)).*conj(spharm_vec(theta,phi,L(2),M(2))).*sin(theta);
%Q = integral2(fun,0,pi,0,2*pi,'Me... |
2afedf71d4e3a39bd9b4786e4c27d0f99411489c58a91349c66eaad4a6aa41cb | MATLAB | 2,192 | 77 |
clear
[task_info,supPath,MaestroPath] = ...
loadDBAndSpecifyDataPaths('Vermis');
K_FOLD = 10;
req_params.grade = 7;
req_params.cell_type = {'PC ss','PC cs', 'CRB','SNR', 'BG msn'};
req_params.task = 'choice';
% req_params.ID = [4135, 4208, 4209, 4343, 4390, 4569,...
% 4570,4602, 4604, 4605, 4623, 4625, 4658,... |
f36cc8d2a990a2bcd9bf86fe69fe09787d27897e53df8ad1a6a3e94124f2eeca | MATLAB | 2,195 | 118 | function [c] = cov(x, varargin)
% [C] = COV(X, NORMALIZEFLAG, DIM) computes the covariance, across all cells in x along
% the dimension dim. W
% [C] = COV(X, Y, NORMALIZEFLAG, DIM) computes the covariance between all cells in x and y
%
% X (and Y) should be linear cell-array(s) of matrices for which the size ... |
ef0bf2c25a3e906a413bc10bf3d07b5884a982a7e0f2a0613a80eba742a93f9e | MATLAB | 2,196 | 61 | function [new_x_0,f_max,f_comp_max] = simGridNode(i,j,K,data,x_0)
%SIMGRIDNODE i, j, K, data, x_0
% Simulates one step in a grid simulation.
% i,j node indices
% K coupling matrix
% data data structure
% x_0 initial conditions
if isfield(data,'grid_par')
data.grid_par_1 = data.g... |
01610f85c6b9fdb75ee595b63d38f759da0ef93d4248a4f9bf241a073079a857 | MATLAB | 2,202 | 47 | function f = antigradient2(g, mask, mu, n)
% ANTIGRADIENT2 Reconstruction from gradients in 2D and 3D.
%
% This differs from antigradient in that it can handle arbitrarily
% shaped domains.
%
% f = antigradient2(g) computes the function f which has a gradient
% as close as possible to g. The vector field g must ... |
0e74a4f07b829d6924525434f64b92d534fedf24761257516d30439c715649d5 | MATLAB | 2,203 | 81 | function [ annulus ] = createAnnulus( n, r, w )
%createAnnulus Create a binary annular mask
%
% INPUT (all optional)
% n - size of the annular mask as a scalar, or vector with coordinates
% r - radius of the annulus in pixels
% w - width of the annulus in pixels
%
% OUTPUT
% annulus - n x n matrix with the annulus mark... |
8434271d4aed61cdb48cd3338faf7b9ecacd8d2788ad5e193202ea74c3406935 | MATLAB | 2,203 | 65 |
function rgb = vals2colormap(vals, colormap, crange)
% Take in a vector of N values and return and return a Nx3 matrix of RGB
% values associated with a given colormap
%
% rgb = AFQ_vals2colormap(vals, [colormap = 'jet'], [crange])
%
% Inputs:
% vals = A vector of values to map to a colormap or a cell array of
% ... |
297cfedcffab0d854df15b8863999956f0572e177a0f51fa9f8e072adf2d5e5c | MATLAB | 2,206 | 44 | rng(42)
tol = 10e-10;
N = 1000;
P = 100;
X = simulate_gaussian_data(N, P, 1, [], [], 0);
X2 = randn(N, P);
X3 = simulate_spiral_data(N, 3, 1);
LW = @LedoitWolfEstimate; % short notation
%% result between 0 and 1
print_unittest_result('[Gaussian data primal] result between 0 and 1', true, 0 <= LW(X, 'primal') <= 1,... |
59ac4a00115f0e671b404553bc7bd697d9122dc511a763974733d3914cb284ce | MATLAB | 2,206 | 71 | function mr_fmontage_nogl(anat,func,mask,slices)
% use this if your system doesn't have opengl rendering
% License:
%=====================================================================
%
% This is part of the Princeton MVPA toolbox, released under
% the GPL. See http://www.csbmb.princeton.edu/mvpa for more
% informa... |
d0e3069affaf16f25e1d9781b17e41d39ae2d140021e920388633cf156351a72 | MATLAB | 2,206 | 75 | function this = gapDet(this)
%GAPDET Automatically identify potential gaps
%
% $Author: Peng Li
% $Date: Feb 25, 2026
%
params = this.GapInfo.Parameter;
rec = this.Data;
if isempty(rec)
this.Gap = [];
return;
end
len = length(rec);
epochSec = this.Epoch;
this.Gap = [];
% 1. Threshold cr... |
80bfd644a4eecaeaf0d215e80ff6238d79974c81cae52332aa5ff00ea744c299 | MATLAB | 2,208 | 80 | clear all
close all
format compact
clc
% script to calculate distances have been measured for all included scans (UsedSets)
addpath('MeshSupSamp_web\x64\Release');
[dataPath,resultsPath]=getPaths();
method_string='Tola'; %'Camp' %'Furu';
light_string='l7'; %'l7'; l3 is the setting with all lights on, l7 is randomly... |
29e91c4468a428f30ac22dd6ab6c1f592e7ad865cd577919ce20c4ffaf728a6f | MATLAB | 2,209 | 53 | %Figure 1
%Calculations needed for plotting
SubjNum = 20;
%calculate 95% CI
SR_cont_square_ci = 1.96 .* std(SR_cont_square) ./ sqrt(SubjNum);
SR_exp_square_ci = 1.96 .* std(SR_exp_square) ./ sqrt(SubjNum);
SR_cont_phone_ci = 1.96 .* std(SR_cont_phone) ./ sqrt(SubjNum);
SR_exp_phone_ci = 1.96 .* std(SR_ex... |
4390ecc4502dcd3f6f26ebf13ead0e433b7d4e9646e6718fde22d6e7a2aee557 | MATLAB | 2,212 | 77 | clear all;
clc;
% load data
DATA = readtable('C:\Users\Neuroeconomics Lab\Data.csv');
% Main GLM (using the first 3 gradients)
mdl05 = fitglme(DATA,'RS ~ ED_HCvsNC * BMI + Age + sex + (1|Study) ');
% LOSO for RS predicted by HC-NC similarity shift
lmfunction = 'RS ~ ED_HCvsNC + BMI + Age + sex + (1|Study... |
8ec174a431996b1dbd053ad11a27b9cd3768d50faac2593e0ea3214794b84fa5 | MATLAB | 2,213 | 95 | function [isbool isrest isoveractive] = check_1ofn_regressors(regressors)
% Tells you about your regressors matrix
%
% [isbool isrest isoveractive] = check_1ofn_regressors(regressors)
%
% ISBOOL - true if all the regressors are 1s and 0s
%
% ISREST - true if some rest is included, i.e. some timepoints
% don't have an ... |
1382a13df83488afa85a93cb5fc231798f9e1653f35be915ee7002934806aea8 | MATLAB | 2,216 | 54 | function awsSetCredentials (level)
%This function sets user name and password for AWS and S3 storage
%level specify how much access would the software need.
%level = 0 - Read capability using fileDataStore
%level = 1 - Write, start EC2 instances etc using AWS CLI
if ~exist('type','var')
level = 0; %Only set... |
6a885ab7e6d1ced757e47aa51a2ff61953f9014350f1f29a8e5aad305dd6df9a | MATLAB | 2,217 | 71 | function [mat] = get_group_as_matrix(subj,objtype,name,varargin)
% [MAT] = GET_GROUP_AS_MATRIX(SUBJ,OBJTYPE,NAME,...)
%
% Returns all the members of a group as a single matrix,
% with each member of the group getting its own row in the
% first dimension. In other words, the MAT it returns will
% be of the following si... |
2cd2c6c5959b3db33272cda86c2b0a0d93d8e13d968e54c3b7e469c4d534b578 | MATLAB | 2,218 | 69 | function [subj] = ebc_tutorial_adv_load(subjnum, datapath)
% Load an EBC tutorial subject structure from the data.
%
% [SUBJ] = EBC_TUTORIAL_ADV_LOAD(SUBJNUM, DATAPATH)
%
% Loads a tutorial_ebc<SUBJNUM> matrix and then inserts all the
% appropriate data into a new 'subj' structure, which is then returned.
%
% SUBJNUM ... |
f40542caf2ad0e4220e89ae7a99396103bec1a6a826766e26e86563d77c5fde4 | MATLAB | 2,218 | 70 | % split into single and multi groups.
% new. Use trials from dcNew var
% For sbj 08 and 10
function plotPerformanceBarChartROINames_Special(sbjNum,varName,tInd,featureName,saveOp)
figSaveDir = ['C:\Users\mn0mn\Documents\ResearchProjects\spatailAttentionProject\ProcessedDatafNIRS\Experiment' num2str(sbjNum) '\Figures\... |
daedb6923ad99a73556c0375d77861e7087f04803ea584d30260bec236017510 | MATLAB | 2,219 | 84 | function [L,weights] = CrossValidationPeerHDCheck_Cells(S,Q,ang,ep)
nbEp = 10;
epV = regIntervals(ep,nbEp);
L = NaN(nbEp,length(S));
fprintf('Launching Cross-validated Peer info\n')
dQ = Data(Q);
nbC = length(S);
weights = zeros(nbC,nbEp,nbC-1);
angq = Restrict(ang,Q);
for ii=1:nbEp
fprintf('.')
ix = ... |
bcde56e00ecfd09874f7cebf6e78672e5ef4fe1e1646df99115ca15fce85faa9 | MATLAB | 2,221 | 80 | clear; clc
[task_info,supPath] = loadDBAndSpecifyDataPaths('Vermis');
DIRECTIONS = 0:45:315;
PROBABILIES = [25,75];
BIN_SIZE = 100;
raster_params.time_before = 199;
raster_params.time_after = 800;
raster_params.smoothing_margins = 200;
raster_params.SD=15;
raster_params.align_to = 'cue';
req_params.grade = 7;
req_pa... |
1741f29b5091309041c5df25f2433905ff3e296e19851319e075ae6d66a91be4 | MATLAB | 2,222 | 55 | function [] = gen_dat(tw, dim, fs, delay, dE, dis_thresh, inputf, outputf, SAMPLES, rp)
% GEN_DAT Generates datasets and recurrence plots for a list of samples.
%
% gen_dat(tw, dim, fs, delay, dE, dis_thresh, inputf, outputf, SAMPLES, rp)
% processes a list of sample files, performs data segmentation, and generates... |
e6366e460698fa75067e9836e0a3f48dd9c33bb9e248105316b56710a5a58799 | MATLAB | 2,222 | 77 | clear all;
addpath('/Volumes/LASA/TBI_OpenNeuro/TBI_openneuro/timeseries/inputs_sch1000/');
addpath('/Volumes/LASA/TBI_OpenNeuro/Shared_code/Hopf_TBI_ON/');
load schaefer_MK.mat;
load tseries_openneuro_tbi_tp123_sch1000.mat; % Load your data
% Parameters of the data
TR=2; % Repetition Time (seconds)
NPARCELLS=1000;
N... |
cbfcd62c9fbb77e10ac56e18ebc5eb79228647fce828d9e457f991d0103425e2 | MATLAB | 2,224 | 61 | % script to run all. Can take 1-3 days. Parallel computing version is
% available at ...
% Final figures require photo editing.
% Figure number refers to preprint version at
% https://www.biorxiv.org/content/10.1101/2022.09.06.506821v2.full.pdf
prompt = 'Warning. It'' take 1-3 days to run the whole thing. Are you sur... |
dbdbb643ec817dce9e394e8453669f789b8692f864300f88887be398e826c008 | MATLAB | 2,224 | 74 | function model = lvl2_contrasts(p)
% function model = lvl2_contrasts(p)
%
% Defines and calculates constrasts for a SPM second-level analysis.
%
% Input:
% - p: Structure with analysis parameters.
%
% Output:
% - model: Structure with all SPM settings used for this analysis
% step (would be 'matlabbatch' in ... |
061ddbad9af7bb42192c52e9dc2a7b1e70bb04f29b765bd7399b9697c02dde43 | MATLAB | 2,225 | 63 | function [masked_pat idx_of_child_items_contained_in_parent ib] = get_masked_pattern(subj,patname,maskname)
% Returns the pattern's voxels allowed by the mask
%
% [MASKED_PAT IDX_OF_CHILD_ITEMS_CONTAINED_IN_PARENT IB] = GET_MASKED_PATTERN(SUBJ,PATNAME,MASKNAME)
%
% Calls GET_MAT to retrieve the PATNAME mat, and then a... |
bad7cf2adc918ece57c16945ae9a4e19ef3bfd5024bd09b92f7d0c37b1a1605d | MATLAB | 2,226 | 68 | function [transformation] = displacement2transformation(displacement, imSize)
% DISPLACEMENT2TRANSFORMATION Converts a displacement field to a transformation matrix
%
% [transformation] = displacement2transformation(displacement, imSize)
%
% INPUT ARGUMENTS
% displacement - Resulting displacement field
% imSiz... |
0b3b2cf15265af46f1bdee2f2e6c790afe80f676d629f9f78dfb88848d0ad23c | MATLAB | 2,232 | 58 | function [velocityField] = baker_campbell_hausdorff_formula(...
velocityField, updateVelocityField, approximationMode)
% BAKER_CAMPBELL_HAUSDORFF_FORMULA Accumulates two velocity fields using the Baker-Campbell-Hausdorff-approximation
%
% [velocityField] = baker_campbell_hausdorff_formula(...
% velocityField, upd... |
1dbb4ff5973270668328a914ec1cba183f84f34e4a054468929ac3c2275a9ddf | MATLAB | 2,232 | 66 | initOAT;
SR = SpikeReader('../results/spk_MEC_LII_Stellate.dat');
spikes = SR.readSpikes(1); X=[]; Y=[];
T=size(spikes,1); % time to plot
fn = 75; % first neuron to plot
N=50; % number of spikes to plot
t_window = 5000;%1500;
min_y = fn;
max_y = fn+N;
% animation
hFigure = figure;
hFigure.Position = [1 0 1920 204];
ti... |
7fc41f3cef98b5ff15d02cc1827d443bba1bcc9f1abc62195debbe243984ea51 | MATLAB | 2,232 | 72 | function o = create_main_effect_contrast(nconds)
% Given N regressors, and assuming that each regressor
% represents a level of a single factor, this scripts creates
% a contrast matrix that will test for differences between
% each regressor and any of the other N regressor.
%
% In essence, it will turn a standard one... |
5ce8febfabe720c0469386f142941920f871831bdba756c581788689f3561d9c | MATLAB | 2,238 | 54 | function [spike_burst_dyn_table]=well_compute_spike_burst_dynamics_axons_220105(allregion_unit_matched)
%despite the name, this function computes spike dynamics for the wells
% This folder contains the contains the mea structs
%load(strcat(parent_dir,'\','allregion_unit_matched'))
% Parameters
fs = 25e3;
% Initial... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.