sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
a51650ba76bd137eda33b8a522b61ecede3851ab31cc1346aede68f65e0267b6 | MATLAB | 8,773 | 337 | clear all
load('calcium_activity_matrix_60584_session17.mat')
%Preprocessing
dt=117;
spikes=full(spikes_d_s);
downsampling_factor=4;
fs_120 = 7.73;
fs_30 = 30.95;
fs = fs_120/downsampling_factor;
maxlag=floor(560*fs_120);
[N,T]=size(spikes);
FRp = spikes_downsample(spikes,N,downsampling_factor);
%% Oscillations in si... |
8d3345ba812b561c0bf5a6792288a6689d54778976285d820b12e071f8e1fc5a | MATLAB | 8,775 | 157 | % THETA SEQUENCES QUANTIFICATION: SPIKE TRAIN CORRELATION
% MH, 2020
% From Feng et al (2015,J Neuro). For each theta sequence, calculate Pearson's linear correlation coefficient between spike timing and place cell peak
% firing positions for spikes emitted during 45-315 degrees of individual theta cycle (referenced to... |
814cba6607e8778668390960fa3359db2ced85b73510fe809f0e4ea3d7c32134 | MATLAB | 8,779 | 196 | function [spikes,D,parameters] = generateRogCrf(num_trials,num_stims,parameters)
%% generateRogCrf produces spike counts/rates for the pairwise Ratio of Gaussians model assuming a contrast response parametrization
% INPUTS
% num_trials - number of trials (default = 1000)
% num_stims - number of contra... |
e774214de6ccc2296d44bffacf67b1f166c47386ad8396714700593b6ca2548e | MATLAB | 8,796 | 283 | % Created by A. Benitez Andonegui, M. Luehrs
% Modified by A. Vorreuther
%%% define variables for loading data, plotting & computing ITR values %%%
close all
fileName = "figure6_effect_trial_repetitions_itr_data.xlsx"; % accuracy matrix: nsubj x ntrials
% pathToViolinPlotFunc = "C:\Users\Anna\Desktop\fNIRS\brainAR-... |
8467a53c398cddbe3b8d052968865b469757beb2a81bfcd9cfe7b965617d2dd5 | MATLAB | 8,800 | 232 | function Mus_stitch_Hui(target, P2path, datapath,disp,mosaic,pxlsize,islice,pattern,sys)
%% define grid pattern
% add subfunctions for the script
addpath('/projectnb/npbssmic/s/Matlab_code');
result=target;
id=islice;
xx=disp(1);
xy=disp(2);
yy=disp(3);
yx=disp(4);
% mosaic parameters
numX=mosaic(1);
numY=mosaic(2);
X... |
94500a449dcbf46000c7ef92a40cfe4e6a4b7e871c45017413d0d20802b4375a | MATLAB | 8,806 | 248 | function im = nodeGrps_vesSegment(nodePos, nodeEdges)
% Compute graph node and edge properties from a matrix of node positions in
% (x,y,z) coordinates and a matrix of the node endpoints for each segment.
% NOTE: this
%
% INPUTS:
% nodePos (double mat): [x,3] matrix of the (x,y,z) coordinates for
% ... |
14b4bbf563048a18b640f46d4317940f720805f18e87a8fe8de3b3065948fb88 | MATLAB | 8,811 | 232 | function Mub_stitch_Hui(target, P2path, datapath,disp,mosaic,pxlsize,islice,pattern,sys)
%% define grid pattern
% add subfunctions for the script
addpath('/projectnb/npbssmic/s/Matlab_code');
result=target;
id=islice;
xx=disp(1);
xy=disp(2);
yy=disp(3);
yx=disp(4);
% mosaic parameters
numX=mosaic(1);
numY=mosaic(2);
X... |
bab09318f3e8bd6329955ddee16bbdb3eb6ea34d58be1e23f4f65d826094ead8 | MATLAB | 8,811 | 204 | function [outSignal,outSampleFreq,outPeriods,outFANI] = IPEMPeriodicityPitch (varargin)
% Usage:
% [outSignal,outSampleFreq,outPeriods,outFANI] = IPEMPeriodicityPitch ...
% (inMatrix,inSampleFreq,inLowFrequency,...
% inFrameWidth,inFrameStepSize,inPlotFlag)
%
% Descr... |
df14bbda3a26a8079374572b104d9e923e09c87843a9c21c8051edb3f6a2b347 | MATLAB | 8,814 | 313 | function DeLongUserInterface()
%%
%% Reference:
% @article{sun2014fast,
% title={Fast Implementation of DeLong's Algorithm for Comparing the Areas Under Correlated Receiver Operating Characteristic Curves},
% author={Xu Sun and Weichao Xu},
% journal={IEEE Signal Processing Letters},
% volume={21},
% number={... |
2e4ae725df0094d0047894c95c4c851ff351a9052f6f5260d62ad5ecea65c06d | MATLAB | 8,828 | 252 | function [k_corner,info] = corner(rho,eta,fig)
%CORNER Find corner of discrete L-curve via adaptive pruning algorithm.
%
% [k_corner,info] = corner(rho,eta,fig)
%
% Returns the integer k_corner such that the corner of the log-log
% L-curve is located at ( log(rho(k_corner)) , log(eta(k_corner)) ).
%
% The vecto... |
11d33f79500ae51f7c8b813be9a238c6d1a52b06b1b64d16ad0ce06e64393cca | MATLAB | 8,829 | 206 | function gap_linking_str = fun_graph_connect_gap_p2p_no_backtrack(vessel_image, vessel_mask, p_1_pos, p_2_pos, connectivity)
% fun_graph_connect_gap_ep2ep finds the link that connect the two given
% endpoitns
% Input:
% vessel_image: 3D numerical array, image of the vessel
% vessel_mask: 3D logical array, mask of... |
7c85375aa73c41ca0fbcedee4146ad95ae004c45b932f04d03840b2c522a84f9 | MATLAB | 8,856 | 235 | clear all
%This program is used to get the connectivity network colored by only
%green and red.
%2.0 version for 10 fun areas.
%get the baseline matrix.
%The file 'BaselineMatrix' is a 20x20x6 matrix incluidng the data of M125689.
%There are 6 lines of code used to load the dat... |
630524bca0703b0e4fa8f535d73470263250e5cbcf5e435d7c3c4fb8c2604000 | MATLAB | 8,861 | 207 | function [sig_cells_sc,areasScreening] = NWB_calcSelective_SC(nwbAll,all_units, params)
%NWB_CALCSELECTIVE_SC Takes the output of NWB_SB_extractUnits and runs
%selectivity tests for the screening task. Optionally does plotting of
%response histograms.
if isfield(params,'rateFilter')
rateFilter = params.rate... |
65edb6aab64b4bb2f406a57450eb65dd95d18845bea75c6ba8a7b9c059dc9fb7 | MATLAB | 8,863 | 218 | %% Add trigger info to event.tsv files and copy events.json file to sub folders.
%
% For information about NatMEG-PD please refer to the data descriptor:
%
% Vinding, M. C., Eriksson, A., Comarovschii, I., Waldthaler, J., Manting, C. L.,
% Oostenveld, R., Ingvar, M., Svenningsson, P., & Lundqvist, D. (2024). The
%... |
17efb1e63ffeba765555c03256b5c9eb118dad19678bc6b9af52fd0dcc5e0cd8 | MATLAB | 8,866 | 233 | function MIP_stitch_Ann(target, P2path,datapath,disp,mosaic,pxlsize,islice,pattern,sys,stitch)
%% stitch the retardance using the coordinates from AIP stitch
% add subfunctions for the script
addpath('/projectnb/npbssmic/s/Matlab_code');
id=islice;
filepath=strcat(datapath,'mip/vol',num2str(islice),'/');
cd(filepath);
... |
6e619c1df6c46cc9580adf55124621ef3139bad1c56474b4116070589464f702 | MATLAB | 8,867 | 349 | function [T, reuse] = Gdsft_gram(ob, W, reuse)
%function [T, reuse] = Gdsft_gram(A, W, reuse)
%|
%| Construct Toeplitz gram matrix object T = A'WA for a Gdsft object.
%| This object performs T*x rapidly using an over-sampled FFT.
%|
%| in
%| A [M np] Gdsft object (fatrix2)
%| W [M M] W = Gdiag() for fatrix2 (often s... |
868e2d2e0bd3732f1b2567d20c77db891c3aa191dbfb0b98099b9516ffd70b0c | MATLAB | 8,867 | 231 | function Mus_stitch_7688(target, P2path, datapath,disp,mosaic,pxlsize,islice,pattern,sys)
%% define grid pattern
% add subfunctions for the script
addpath('/projectnb/npbssmic/s/Matlab_code');
result=target;
id=islice;
xx=disp(1);
xy=disp(2);
yy=disp(3);
yx=disp(4);
% mosaic parameters
numX=mosaic(1);
num... |
62e17d064246ff966a78fccfbdff414fa0016727ca5caf0fbeaf40cd9cabc49f | MATLAB | 8,877 | 153 | function [Objects] = f_imageAnalysis(Label, ch1, ch2, ch3, ch4, PreviewPath, MetaTable)
%vol(ch1, 0, 5000) Hoechst
%vol(ch2, 0, 4000) 647 MAP2
%vol(ch3, 0, 5000) 568 Sox2
%vol(ch4, 0, 5000) 488 Ki67
ObjectsThisOrganoid = table();
%% Max projections
%NucMax = max(ch1, [],3); imtool(Nuc... |
2781b8fc29098d74c2c6d3aacef2d145d3116f149268ec49f11b13ea6a260cd2 | MATLAB | 8,894 | 308 | function [hout] = addedvarplot_modified(varargin)
%ADDEDVARPLOT Create added-variable plot for stepwise regression
% ADDEDVARPLOT(X,Y,VNUM,INMODEL) produces an added-variable plot for the
% response Y and the predictor in column VNUM of X. This plot illustrates
% the incremental effect of this predictor in a reg... |
f85b44b5ac8ee5eed9299ad62bf83f4fd31a632933a595db7436c21a347d74cb | MATLAB | 8,896 | 304 | function G = Gtomo2_strip(sg, ig, varargin)
%function G = Gtomo2_strip(sg, ig, options)
%
% Generate a 2D system matrix for tomographic image reconstruction,
% based on a square pixel basis and strip-integral detector model,
% i.e., a rectangular detector response.
% Works for parallel-beam, arc-fan, and flat-fan geom... |
3609e88fb5f9e70c83110d952e80bcbca1ca57cbce03789826195d7853e14a65 | MATLAB | 8,898 | 263 | %% Figure 4g
% this script rungs additional analysis required for the plots of figure
% 4g.
%%
clear
ft_defaults
%%
addpath /Users/'Janweber 1'/Documents/MATLAB/general_functions/
path_out = '/Users/Janweber 1/Desktop/PhD_HelfrichLab/Project_1_Predictions_ECoG/Results/Figures/submission_natcomm_v3/Figure_4/revis... |
9409f0beb2fb692ecb11401d00c1e0e76f5a8ce85f7e8d0096c9e6eb2b89a900 | MATLAB | 8,899 | 179 | %{
AnalysisPluginExample - simple example script to show users how to make analysis plugins
HOW TO USE THIS TEMPLATE
Edit only the three ZONE blocks below:
ZONE 1 set numVar, your parameter labels, and optional default values
ZONE 2 unpack your parameters from UserVar
ZONE 3 initialize custom outputs ... |
a850b6dc5fc339ee9393160e8019df22209d503586bc7b0d264e22444769c3d5 | MATLAB | 8,901 | 331 | clear
%set some options that are the same for all simulations
%saving options
saveon=0;
map_options.save=saveon;
vox_options.save=saveon;
%noise level and type
SNR = 200;
noisetype = 'rician';
%% Simulate a simple volume fraction image.
% Each voxel is the weighting of the corresponding
% canonical spectral comp... |
41ce3b528060a424442474ee84deec4c46d4e8945909a96b5b4d4b0acaa9c7d8 | MATLAB | 8,905 | 258 | clear all;
addpath(genpath(pwd))
glmFlag = 'jumps_absolute';
options = continuous_RDK_set_options('iMac');
% subject list
subjectList = [16 18:21, 24, 26, 27, 28, 29, 31, 33, 34, 35, 42, 43, 47, 50, 51, 52, 54, 55, 57, 58]; %32 taken out
%subjectList = [62:64,66,68,70]; % vertical motion only
csdFlag = 0; % 1 for... |
b377a647d4f958734b22384f263b6e742a83e123e8e707fc47215f76dc0cce4e | MATLAB | 8,905 | 255 | function varargout = spm_platform(varargin)
% Platform specific configuration parameters for SPM
%
% FORMAT ans = spm_platform(arg)
% arg - optional string argument, can be
% - 'bigend' - return whether this architecture is bigendian
% - 0 - is little endian
% - 1 ... |
b9c5254ae32c8b6a194143dbf58a3e1ef3ed5825d095de5dac1059a1c1c4681f | MATLAB | 8,905 | 249 | %aim to calculate the latency of the response, find the time and CI, and
%the bootstrap
% close all;
clearvars;
addpath ('/data/local/u0114568/ephysio/test');
listname=['targetRight'];
cn1={'sp','color', 'con', 'incon', 'att', 'congruency','fac','int'}; % condition names length=8
cn={ [cn1{1}],[cn1{2}]};
condnames=... |
b38e96ed4d87e27b591b2dd637089e964ca00106c8f5e09a4d1ac23228c2f7ba | MATLAB | 8,907 | 200 | classdef TestFifoBuffer < matlab.unittest.TestCase
%TESTFIFOBUFFER Unit-test-class for FIFOBUFFER
methods(TestClassSetup)
function setupPath(testCase)
addpath('../src')
end
end
methods(Test)
function testValidLength(testCase)
length = 14;
... |
f2feca2698b00ccf6d938ab0fb9091dc895123401fcc7093e7d0fccb129f54b3 | MATLAB | 8,907 | 265 | function [D, Isubj]=ribbon_dir_adf(dirname, th_pval)
% For each subject in the directory "dirname":
% Computes the Dice coefficients measuring the overlap of the
% Cortical Ribbon volume computed
% 1- from the subcortical labeling
% 2- as the space between the white and the pial surface
%
%... |
d659aea428486a0b840eebf96239402c641662ee1872acec9b3ef82dd9627adb | MATLAB | 8,912 | 230 | function D = spm_eeg_inv_forward(varargin)
% Compute M/EEG leadfield
% FORMAT D = spm_eeg_inv_forward(D,val)
%
% D - input struct
% (optional) fields of S:
% D - filename of EEG/MEG mat-file
%
% Output:
% D - EEG/MEG struct with filenames of Gain matrices)
%_________________... |
4d5f7710bad2a85005368b600a0a9858fbbb1e4a99d3bdca2c662be04688b5ef | MATLAB | 8,918 | 197 | function gap_linking_str = fun_graph_connect_gap_p2p(vessel_image, vessel_mask, p_1_pos, p_2_pos, connectivity)
% fun_graph_connect_gap_ep2ep finds the link that connect the two given
% endpoitns
% Input:
% vessel_image: 3D numerical array, image of the vessel
% vessel_mask: 3D logical array, mask of the ves... |
5dbab741b9dc313152bd28da840ec54ef1e7270046e6ae21dcf22fc1fde75b0d | MATLAB | 8,920 | 188 | function [lickt,lickx,post,posx,speed, sp, ...
all_fr, avg_all_fr, all_corrmatrix, avg_all_corrmatrix,...
all_waveforms, cells_to_plot,spike_depth,...
all_drugEffectScores, trial,all_cellCorrScore,...
trials_corrTemplate, avg_all_cellCorrScore, avg_cell_fr,...
trial_ds, all_frTime,all_cellStabilityS... |
6c1193ddc50c620ea62e7b3212aaf1658c731d18fe77ff79d37ea85a1b5387cb | MATLAB | 8,920 | 294 | %| Example regularized estimation of MR coil sensitivity maps.
%| mri_sensemap_demo1.m
%|
%| This is an older slower method that is made obsolete by the new version:
%| ir_mri_sensemap_admm.m
%| (However, for small 2D problems the cholesky approach below is best.)
%|
%| Copyright 2005-9-12, Jeff Fessler, University of ... |
893143caaab3d9cbf58ba186cb56b5ff6830e8cffc09cbf92253a46ba74b4cbb | MATLAB | 8,927 | 259 | function make_figure6(plotVariables,options)
%this used to be called make_figure2.m, but has been renamed to align with
%the figures for final publication
%%% change regressor indices when using the response or response_coherence
%%% GLM!!!
glmFlag = 'all_regressors';
% subject list
subjectList = [16 18:21, 24, ... |
7103c43446a2962ae2bf0429c63fb403596c892a385cf7b16cca7d3ba3151a8e | MATLAB | 8,930 | 241 | function Ori_stitch(target, P2path, datapath,disp,mosaic,pxlsize,islice,pattern,sys,stitch,aip_threshold)
%% stitch the retardance using the coordinates from AIP stitch
% add subfunctions for the script
addpath('/projectnb/npbssmic/s/Matlab_code');
id=islice;
filepath=strcat(datapath,'orientation/vol',num2str(isli... |
89bc401fe9273f116ba63180eb4ee857efd06df0a032a1b9322e0754fe110fa9 | MATLAB | 8,930 | 296 | function [p,f] = spm_powell(p,xi,tolsc,func,varargin)
% Powell optimisation method
% FORMAT [p,f] = spm_powell(p,xi,tolsc,func,varargin)
% p - Starting parameter values
% xi - columns containing directions in which to begin searching
% tolsc - stopping criteria, optimisation stops when
% ... |
8ab594bcd72bcf327383412257fe17394398c65c2e2e14e41d0eeaf098bdefe9 | MATLAB | 8,941 | 254 |
% Add path for shared functions
addpath ../Shared_functions/
% Parameters for cells
% --------------------
pick_peak_flag = 0;
% Data parameters
% ---------------
frate = 6.83;
N_frames = 52;
dt = 1/frate;
t = (0:dt:dt*(N_frames-1))-3;
t1 = ceil((3+1)*frate);
t2 = ceil((3+2)*frate);
% T4 Contrast data
% ----------... |
7f098a1da32347f820f724b979e9a48e2adcf1bd9856d1f8893ecd0bfdc1dc4f | MATLAB | 8,949 | 196 | % load_EDF.m
%
% Purpose:
% Load EDF format PSG data file. Text header and binary timeseries.
% Data is loaded and converted to Physical values.
%
% Usage:
% [INFO,TS]=load_EDF(filename, standardEpochLength)
%
% Requirements:
% Traditional EDF format. Will not work with EDF+
%
% Notes:
% Byte resolution = 2 bytes... |
c4a11b13aa251e8b1402f7993748865cf19e27d1ba58db5c6787fc30f9e421d3 | MATLAB | 8,951 | 278 | clear all
close all
dbeh_path='C:\Users\xscogno\MATLAB\Flavio2\Waves\Tracking data\';
rec_data_path = 'C:\Users\xscogno\MATLAB\Flavio2\Preprocessed_data\';
dpath_spikes='C:\Users\xscogno\MATLAB\Flavio2\Preprocessed_data\';
dpath_sorting='C:\Users\xscogno\MATLAB\Flavio2\Waves\Sorting\';
dpath='C:\Users\xscogno\MATLAB\F... |
9038b1a02d5aa608b64bcb655df31abd38afca3676798288b76112152af26562 | MATLAB | 8,958 | 327 | function [vSVD,SVD,ME] = motionSVD(videoFile, roiFile,nt,ns)
% This script is a modification of
% https://github.com/MouseLand/facemap/blob/main/matlab/computeSVDmotion.m
% to incooperate the data structure produced in the Nienborg lab.
%
% The three MATLAB scripts, svdecon.m, gather_try.m, normc.m, used in this... |
bb9442009b7f256cb53a65236532e94b573574eb150fc39f7227b6e06c1fc8f4 | MATLAB | 8,962 | 373 | % Autocorrelations for PaS example session
clear all
close all
rec_path = 'C:\Users\xscogno\MATLAB\Flavio2\Preprocessed_data\';
dpath='C:\Users\xscogno\MATLAB\Flavio2\Preprocessed_data\';
mouse='L8M4';
load([rec_path,strcat('recording_dates_',mouse,'.mat')]);
day=17;
s=2;
munit=dates.ses{day}(s);
file_name=[dpath ['... |
81342110051c0e8ed6200575042c19475f08914aa4ad530adfa73f3e9894def2 | MATLAB | 8,977 | 226 | function habituation_6well_part2_automated
% Sep 30 2013: Actually this program tries to output some incorrect values
% that are calculated in an obsolete, noisy way (based on fit for each bout).
% It also creates some plots, and these plots are correct, and based on average
% amplitudes for the 1st and 2nd... |
d35b062a0f15f242b409ffb1595794d9750a5b61b264c23964ef280d12411174 | MATLAB | 8,979 | 391 | classdef c_progress < handle
% c_progress - Class for printing loop progress updates and estimating time remaining
%
% Example:
% N = 100;
% prog = c_progress(N,'Loop %d/%d'); % first %d is current loop variable, second %d is total
% prog.start();
% for i=1:N
% prog.update();
% pause(0.1) % do some wo... |
91df0311fd3415e498045622413c7f450afe074731eda652f7684091c16e9864 | MATLAB | 8,984 | 227 | function [newpupil, newblinksmp, nanIdx, dat] = blink_interpolate(data, blinksmp, plotme)
% interpolates blinks and missing data
% Anne Urai, 2016
% get the stuff we need
dat.time = data.time{1};
dat.pupil = data.trial{1}(~cellfun(@isempty, strfind(lower(data.label), 'eyepupil')),:);
dat.gazex ... |
5348567f49868ef482b947de1d96bfec6abfbfdb9f6acf45f5d9c6ed37d31dfd | MATLAB | 8,995 | 158 | function [X, fX, i] = minimize(X, f, length, varargin)
% Minimize a differentiable multivariate function.
%
% Usage: [X, fX, i] = minimize(X, f, length, P1, P2, P3, ... )
%
% where the starting point is given by "X" (D by 1), and the function named in
% the string "f", must return a function value and a vector of par... |
b6ac2dfb05688d1062fa6a3ab932cb72ed222dfef9b2eab8f7fc4564530264e3 | MATLAB | 8,997 | 322 | % This code requires that there are at least five points for each
% injection site, otherwise NaN is returned
%
% SC -> Retina
%
% injectionType: 'APfix' or 'MLfix'
% nRep: number of repetitions
% maxDist: largest allowed distance between injections (for later
% iterations we can ignore higher distances).
% k0: In case... |
ce22d86a1b1960c89240f9e1280073dd9ddec6488f92610744a36d14c04bf215 | MATLAB | 9,006 | 206 | function [TPP, half_laps_times] = phase_precession_relative_location
load('extracted_CSC.mat')
load('extracted_place_fields.mat')
load('extracted_clusters.mat')
load('extracted_position.mat')
load('extracted_laps.mat')
%Get timestamps for each half lap
half_laps_times = extract_running_laps(position,lap_times);
... |
3027280c4adf86b530e54d8023351d2b0c9e55edf04b0da9e60b144aeebee6aa | MATLAB | 9,010 | 269 | function spm_preproc_write(p,opts)
% Write out VBM preprocessed data
% FORMAT spm_preproc_write(p,opts)
% p - results from spm_prep2sn
% opts - writing options. A struct containing these fields:
% biascor - write bias corrected image
% cleanup - level of brain segmentation cleanup
% GM - f... |
a7ab89c5b25f7653a048d7dd4c7b55822b23ed9c9af6eafa94ee996a77bf6bc2 | MATLAB | 9,010 | 226 | function fit_linear_Model_M2(exname, include_eye)
results_dir = sprintf('../data/analysis/%s', exname);
% load preprocessed dataset
if ~include_eye
load(sprintf('../data/preprocessed/%s/preprocessed_data.mat', exname), 'D');
else
load(sprintf('../data/preprocessed/%s/preprocessed_data.mat', exname), 'D_eye');... |
517c05f87893f30336e6e47c3be6099dfe35d50652e2d10c8f7b35be0ae1f66f | MATLAB | 9,012 | 218 | function SBJ08k_HFA_channel_categories_stats(an_id, model_id, stat_id)
if exist('/home/knight/hoycw/','dir'); root_dir='/home/knight/hoycw/';ft_dir=[root_dir 'Apps/fieldtrip/'];
else root_dir='/Volumes/hoycw_clust/'; ft_dir='/Users/colinhoy/Code/Apps/fieldtrip/';end
addpath([root_dir 'PRJ_Error/scripts/']);
addpath([r... |
aebaae893db8128b629842da712277c064996247c0223376b5178d0643590633 | MATLAB | 9,013 | 312 | function varargout=sigstar(groups,stats, limY, nosort)
% sigstar - Add significance stars to bar charts, boxplots, line charts, etc,
% Rob Campbell (2023). raacampbell/sigstar (https://github.com/raacampbell/sigstar), GitHub. Retrieved August 1, 2023.
% H = sigstar(groups,stats,nsort)
%
% Purpose
... |
d549fcead2dbd2b7a66277eab4c57b98507c7fd2b20c0a2a23fa40ebd1086853 | MATLAB | 9,022 | 247 | %aim to calculate the latency of the response, find the time and CI, and
%the bootstrap
% close all;
clearvars;
addpath ('/data/local/u0114568/ephysio/test');
listname='TarLR-conIncon';
cn1={'sp','color', 'con', 'incon', 'att', 'congruency','fac','int'}; % condition names length=8
cn={ [cn1{7}],[cn1{8}]};
condnames=l... |
a4c571bf3c5e63fd2819bc6cfe803ef4aa985c896d6884e6faefc834259a3cec | MATLAB | 9,023 | 286 | function [ddr, ddl, Isubj]=cc_cut_dir_adf(dirname, th_pval)
% For each subject in the directory "dirname":
% Computes the Dice coefficients measuring the overlap
% of the WM volume in right and left hemispheres to check
% if the corpus_callosum is correctly located.
%
% Uses the p values
%
%
% cc_cut_dir_afd.m
%... |
eda4477ba2b08dac23ea18fec5f8a633a23e37dee3753bcafadade2a7cb3251b | MATLAB | 9,028 | 183 | clear;
subjectID = 'C1';
load(sprintf('TrainData_100Hz_%s_Unsorted.mat', subjectID));
if ~isempty(subjectID)
switch subjectID
case 'C1'
arrayInfo = UC_chan_mapper('FullMapLatMed.txt');
case 'P2'
arrayInfo = Pitt_chan_mapper_CRS02b('FullMapLatMed.txt');
case 'P3'
... |
2bb379c64e4c3bfaf3f17fbd0b3c47e2d0d635d683594232257f558cd262360d | MATLAB | 9,029 | 290 | function [img_est, full_kspace] = ...
ir_mri_partial_fourier_3d(partial_kspace, full_dims, varargin)
%function [img, full_kspace] = ...
%| ir_mri_partial_fourier_3d(partial_kspace, full_dims, varargin)
%|
%| 2D and 3D versions of Xu and Haacke's 2001 "Partial Fourier imaging in
%| multi-dimensions: A means to save a ... |
04b7682853462b53d5a972a39217075820576ff803d373d2dc2a0fc8c2969731 | MATLAB | 9,032 | 205 | %% MEG-BIDS, the brain imaging data structure extended to magnetoencephalography.
% This script uses the FieldTrip toolbox to reorganize MEG data to BIDS.
%
% For information about NatMEG-PD please refer to the data descriptor:
%
% Vinding, M. C., Eriksson, A., Comarovschii, I., Waldthaler, J., Manting, C. L.,
% Oos... |
8de337ac8dfea6c4b8b9a80439d1972f0188d71034d0e20a44fc662e0ba6db88 | MATLAB | 9,034 | 206 | function gap_linking_str = fun_graph_connect_gap_p2p_no_backtrack(vessel_image, vessel_mask, p_1_pos, p_2_pos, connectivity)
% fun_graph_connect_gap_ep2ep finds the link that connect the two given
% endpoitns
% Input:
% vessel_image: 3D numerical array, image of the vessel
% vessel_mask: 3D logical array, ma... |
5a4745bdd764b20fc6066e59baacd5ab41aa8180ce570bb5bcb4d13d330d8193 | MATLAB | 9,043 | 230 | function SBJ08i_HFA_plot_grp_mLME_ROI_spider(SBJ_id,proc_id,an_id,model_id,stat_id,cat_id,...
roi_id,save_fig,varargin)
%% Plot spider plot of proportion of electrodes per puns category for each ROI
% INPUTS:
% SBJ_id [str] - ID of subject list to load
% proc_id [str] - ID ... |
a5ecaad509c74b36b849bdbaab718a99a2410b105b25f21908054d8b707c05e0 | MATLAB | 9,044 | 214 | function SBJ08c_HFA_plot_grp_mGLM_ROI_hist(SBJ_id,proc_id,an_id,model_id,stat_id,...
roi_id,save_fig,varargin)
% Plots histograms of mGLM max beta by ROI
% COMMENTS NOT YET ADJUSTED
% gROI version: one plot; subplots per gROI (lines still colored by ROI)
% INPUTS:
% SBJ_id ... |
a3b477361d9d337286f130453aec95682224445943d872da90e3605e51ff4fa3 | MATLAB | 9,055 | 248 | function varargout = spm_dcm_ui(Action)
% User interface for Dynamic Causal Modelling (DCM)
% FORMAT spm_dcm_ui('specify')
% FORMAT spm_dcm_ui('estimate')
% FORMAT spm_dcm_ui('search')
% FORMAT spm_dcm_ui('optimise')
% FORMAT spm_dcm_ui('review')
% FORMAT spm_dcm_ui('compare')
% FORMAT spm_dcm_ui('average (BPA)')
% FOR... |
1737b288b6060030835355e27bb7eb961e0c7a4e8fa5fce00a273ad69cd03be7 | MATLAB | 9,062 | 242 | % use General Linear Kalman Filter to estimate TV-MVAR model
clear all; close all; clc
tic
% develop for 1 subj
subj = '39';
cd(['/tmp/yassamri/iEEG/sandra/subj_' subj])
load(['trial_data_subj_onset_' subj '_ref__select_chan_3.mat'])
trial_data = trial_data(1:30,1:1500,10:19); % test on 30 trials, 1.5 seconds, 10 elec... |
ada37ad7bb950877aa1e8828ed3b40d141eaab5edc694c450754a653d64e0ba7 | MATLAB | 9,062 | 204 | function bootstrap_peak_latency_rsa_avg_timesteps(subjects,conditions_int)
%BOOTSTRAP_PEAK_LATENCY_RSA_AVG_TIMESTEPS Apply bootstrapping to calculate the 95% confidence
%interval of peak latency difference (for RSA between RNN and
%EEG-categorization task). Results are for all RNN timepoints & for the median.
%
%Input... |
5dffc7da0a25af067ef8e8fba15fdc741eb5e4620300acae21fa774253e8f3e8 | MATLAB | 9,069 | 389 | function x = wls_simplex(A, y, Wh, x, varargin)
%function x = wls_simplex(A, y, Wh, x, [options])
%|
%| min_x || Wh * (A x - y) ||^2 + reg || x ||^2
%| subject to simplex constraint: 0 <= x <= 1 and sum(x) = 1
%|
%| one version is based on:
%| x = lsqlin(C,d,A,b,Aeq,beq) solves the least-squares
%| (with equality cons... |
5f432904731706e4d4885a1eb21b1c48ec7d7a37155c1da1b26ec2506d398c82 | MATLAB | 9,084 | 306 |
%% gf_vs_m
clear all
close all
clc
nrmz=10000;
sp=1;
%% load mouse- old (stav)
% disp('m-old')
% load('/data/Technion_analysis/goldfish/mouse_data_matrix.mat', 'mouse_geneid','mouse_sampleid','mouse_data','mouse_cluster_name');
% type_nt=readtable('/data/Technion_analysis/goldfish/type_neurotansmitors.xlsx','VariableN... |
b7c2719091b733c33b00ec2a62c25d8bdbe21d017df06d3b00e6684e87cc1cd5 | MATLAB | 9,092 | 239 | function [labels, names, colors, line_styles, markers] = fn_regressor_label_styles(model_id)
%% Converts the name of a model into regressor labels, plotting colors/styles
% ^ = regressors were only used for early model comparison (not in the paper)
% Generally, RL features are better than anything else for near... |
3a3cf54a64916e5ba1268e8d1e0f3fbf5ec2c80eabda8e0e3c2cfacce5aac71d | MATLAB | 9,096 | 320 |
clear all
% Add package to read NPY files into matlab
addpath('/Users/askeller/Documents/npy-matlab/')
folder_name='/Users/askeller/Documents/Kellernet_PrelimAnalysis/RidgeResults/results_rest_Aug22';
file_name_pred1='thompson_PC1_prediction.npy';
file_name_pred2='thompson_PC2_prediction.npy';
file_name_pred3='thomp... |
5a5a216315daa9b2c1d8ccb9d2320543eb04e59d89beed1ed723974917d521d9 | MATLAB | 9,100 | 168 | function [Objects] = f_imageAnalysis(Label, ch1, ch2, ch3, ch4, PreviewPath, MetaTable)
%vol(ch1, 0, 5000) Hoechst
%vol(ch2, 0, 4000) 647 MAP2
%vol(ch3, 0, 5000) 568 TotSyn
%vol(ch4, 0, 5000) 488 pSyn
ObjectsThisOrganoid = table();
%% Max projections
%NucMax = max(ch1, [],3); imtool(NucMax,... |
8915cf144a5e2923a2a55d147ffc0c20679631eb089341585850e5be8b6801a9 | MATLAB | 9,107 | 303 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% SCORCH calculations
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% spatially correlated coherence
% pathing needs to be corrected based on users machine
% dependency: custom coherency function
... |
3b35041d2f1b6b5be5ed9ccb0bc9a3b2fb20146aa1882c7a73e797c55198a2ba | MATLAB | 9,110 | 358 | %| pet_2z_example.m
%|
%| Illustrate image reconstruction for multislice 2D PET, aka 2.5D PET,
%| including both intra and inter-slice regularization.
%|
%| Copyright 2005-6-13, Jeff Fessler, University of Michigan
% true emission map
if ~isvar('xtrue'), printm 'xtrue'
ig = image_geom('nx', 64, 'ny', 56, 'nz', 30, 'd... |
ad7ed157b964536afd84de54494b55849aebfb8d44748765ea9b72dd0838e237 | MATLAB | 9,115 | 249 | function [pHat, accept, ll] = runMCMC(data,mcmc,mP,model,sensors,dss,environment)
% function runMCMC(data,mcmc,mP,model,sensors,environment)
% Performs a run of the MCMC identification procedure.
%
% Inputs:
% - data: a timetable which contains the data to be used by the tool;
% - mcmc: a structure that contains t... |
5b4202aa4843b3fce5a367d0fb067bbfe229546602f4ff63b9738b91ba0d08fb | MATLAB | 9,120 | 228 | function status = sendCommand2Host(hostHandle, command, wait4Feedback)
% Sends a command to one or more remote computers, where
% connect2ControlComputer executes it. The command is a string, e.g. built
% with printCmd; a semicolon is appended. Make sure that the files the
% command uses exist on the remote computer, s... |
043ae1d4a3ffd40bab2d7edf74cf639efa93855aaa3fec7e52e2eccf59e453c6 | MATLAB | 9,131 | 258 | function R2_stitch(target, P2path, datapath,disp,mosaic,pxlsize,islice,pattern,sys,ds,stitch)
%% stitch the fitting result using the coordinates from AIP stitch
%% define grid pattern
% add subfunctions for the script
addpath('/projectnb/npbssmic/s/Matlab_code');
% displacement parameters
% xx=92;
% xy=-4;
% yy=97;
% ... |
4e8525ef4fa0519c432f1dd616febdae2ae13feeaee50ed2b7a6dcbe49ef6218 | MATLAB | 9,135 | 258 | function ZR_stitch(target, P2path, datapath,disp,mosaic,pxlsize,islice,pattern,sys,ds,stitch)
%% stitch the fitting result using the coordinates from AIP stitch
%% define grid pattern
% add subfunctions for the script
addpath('/projectnb/npbssmic/s/Matlab_code');
% displacement parameters
% xx=92;
% xy=-4;
% yy=97;
% ... |
63e7cded406a99d5f1115c0c9f0f9cd073c504c202103ce12b7f9d5d4a98f284 | MATLAB | 9,141 | 234 | function Ret_stitch_Ann(target, P2path, datapath,disp,mosaic,pxlsize,islice,pattern,sys,stitch)
%% stitch the retardance using the coordinates from AIP stitch
% add subfunctions for the script
addpath('/projectnb/npbssmic/s/Matlab_code');
id=islice;
filepath=strcat(datapath,'retardance/vol',num2str(islice),'/');
cd(fil... |
68d639356e07169b0a8a642a9db4e6b46f656bcafaac16cb19c250a9043c24a0 | MATLAB | 9,148 | 227 | % fdr_bh() - Executes the Benjamini & Hochberg (1995) and the Benjamini &
% Yekutieli (2001) procedure for controlling the false discovery
% rate (FDR) of a family of hypothesis tests. FDR is the expected
% proportion of rejected hypotheses that are mistakenly rejected
% ... |
8fbf91dbd195734e9c960ca284df819f3519c0ff3bfa5371a0f0969250764337 | MATLAB | 9,161 | 210 | function SBJ06g_ERP_plot_grp_GLM_onsets_ROI(SBJ_id,proc_id,an_id,model_id,stat_id,roi_id,...
plt_id,save_fig,varargin)%gm_thresh,z_thresh,
% Load ERP mGLM results to plot onsets of signifcant effects per ROI
% INPUTS:
% SBJ_id [str] - ID of subject list to load
% plt.grp_... |
7d0f2c1d976421b53b6ece0f87d7191d4c74487daf7d3df9703d3d4a711a91ee | MATLAB | 9,163 | 221 | function Optical_fitting_PTSD1(co, cross, s_seg, z_seg, datapath)
% Fitting scattering and retardance of brain tissue
% co: volume data for co pol
% cross: volume data for cross pol
% s_seg: slice number
% Z_seg: tile number
% datapath: datapath for original data
cd(datapath);
opts = optimset('Display','off','... |
cd45aba607fb64b3401ff31c6e092eb117532aa377d1feeff3f17dfa7ce87314 | MATLAB | 9,163 | 220 | function Optical_fitting_8921(co, cross, s_seg, z_seg, datapath)
% Fitting scattering and retardance of brain tissue
% co: volume data for co pol
% cross: volume data for cross pol
% s_seg: slice number
% Z_seg: tile number
% datapath: datapath for original data
cd(datapath);
opts = optimset('Display','off','T... |
c767273eb527c96a3df035e7b87c8fb0f95fd423d56b984eb32674c259fd1075 | MATLAB | 9,169 | 220 | function Optical_fitting_6692_tmp(co, cross, s_seg, z_seg, datapath)
% Fitting scattering and retardance of brain tissue
% co: volume data for co pol
% cross: volume data for cross pol
% s_seg: slice number
% Z_seg: tile number
% datapath: datapath for original data
cd(datapath);
opts = optimset('Display','off... |
2afc54eea5589e4bd870c51e62442e1648cf504acbd6eae4a2c495d0964fd989 | MATLAB | 9,171 | 246 | function model = mTRFtrain(stim,resp,fs,Dir,tmin,tmax,lambda,varargin)
%MTRFTRAIN Train a linear encoding/decoding model.
% MODEL = MTRFTRAIN(STIM,RESP,FS,DIR,TMIN,TMAX,LAMBDA) trains a forward
% encoding model (stimulus to neural response) or a backward decoding
% model (neural response to stimulus) using time-... |
3cd73daa4044c5dc1d61cea411e8a8cdc0c378d8861ad6fc6685489077561adb | MATLAB | 9,176 | 243 | function [ExpParameters,Correlation] = calculate_collapsed_integration_kernels(all_responses,SubjectList,nS, mean_stim_streams, stim_streams, trigger_streams,lags)
%% loop through subjects and find button presses
mean_coherences = [];
for subject = 1 : nS
subjectID = SubjectList(subject);
for condition =... |
87eb4f260553535bbe7201c3cf095c8638db5539ce6fca2e261966189d28bf62 | MATLAB | 9,177 | 241 | %% Plot a set of example to show regression pipeline
%% Define Paths of Loading Files and Save Files
currentFolder = mfilename('fullpath'); % determine the filepath based on where the script locates
scriptFN = mfilename;
filePath = erase(erase(currentFolder, scriptFN), strcat('scripts', filesep));
searchPath = strcat(... |
04d738a038049dbb92e3c4f007cc2d18a19bf5e4bd8d536b58f677e703865db7 | MATLAB | 9,179 | 221 | function Optical_fitting_NC(co, cross, s_seg, z_seg, datapath)
% Fitting scattering and retardance of brain tissue
% co: volume data for co pol
% cross: volume data for cross pol
% s_seg: slice number
% Z_seg: tile number
% datapath: datapath for original data
cd(datapath);
opts = optimset('Display','off','Tol... |
26fa8b85372b6625db0c8d7db1055612804ca2bf712b4a8f89241ab7e7ac145e | MATLAB | 9,180 | 220 | function Optical_fitting_6692(co, cross, s_seg, z_seg, datapath)
% Fitting scattering and retardance of brain tissue
% co: volume data for co pol
% cross: volume data for cross pol
% s_seg: slice number
% Z_seg: tile number
% datapath: datapath for original data
cd(datapath);
opts = optimset('Display','off','T... |
4df95a3de595a95017f271c50373484fa6733ab405a172b115016e19583ac1f0 | MATLAB | 9,185 | 259 | %% Script to create output for Supp Fig. 2 - analysis of pitch rotation during turn between outbound segments
% Andrea Castegnaro, UCL, 2022 andrea.castegnaro@ucl.ac.uk
% Calculate pitch rotation during the rotation at the outbound segment. A
% different pitch rotation might indicate a difference in angular velocity
% ... |
d245950a1fe298d7b289cc24b6aa696e249c6e5ab9343d8a0e7143169b5812ae | MATLAB | 9,188 | 231 | % This simulation reproduces the fmri-based motion direction reconstruction
% analysis step-by-step. It's written in the form of a tutorial and it's
% divided in 3 parts: data generation, voxel-wise GPR estimation, searchlight
% based stimulus reconstruction.
%
%Written By Joram Soch & Riccardo Barbieri.
%Other Contri... |
2558a72aaf321407a0791710168c1acdb909ca9a5beca0bbc0e9a3222c508573 | MATLAB | 9,189 | 289 | function varargout=adjustablesigstar(groups,stats,nosort,sigstaroptions)
% sigstar - Add significance stars to bar charts, boxplots, line charts, etc,
%
% H = sigstar(groups,stats,nsort)
%
% Purpose
% Add stars and lines highlighting significant differences between pairs of groups.
% The us... |
8085341285f5e9bfcafe72a96368c5002045371cb81872189d05c69e0b1f1068 | MATLAB | 9,191 | 208 | function dth_pseudotrials_SVM_cross_validated_removed_scene_searchlight(subject,task)
%DTH_PSEUDOTRIALS_SVM_CROSS_VALIDATED_REMOVED_SCENE Performs the distance-to-hyperplane analysis using SVM on
%a balanced dataset. Instead of creating pseudoconditions out of scenes,
%the trials from across conditions are lumped into ... |
76d5f0216341b0e6c9977f4b711ce05b5f18ec31385b9e49dd9cd725158f0702 | MATLAB | 9,199 | 167 |
function thetaSeq_units_properties = find_thetaSeq_active_units_ID
load('X:\BendorLab\Drobo\Lab Members\Marta\Analysis\HIPP\Chapter 1\Cell_count\cell_classification.mat')
load('X:\BendorLab\Drobo\Lab Members\Marta\Analysis\HIPP\Chapter 3\Theta sequence scores\thetaseq_scores_individual_laps.mat')
if ~exist('X:\Bendo... |
1c2489f86f5359f410ecb114df2133f7f8a1c3e39210fd0da4239e033fb0b7f5 | MATLAB | 9,206 | 326 | function [xs, info] = pwls_pcg1(x, A, W, yi, R, varargin)
%function [xs, info] = pwls_pcg1(x, A, W, yi, R, [options])
%|
%| penalized weighted least squares (PWLS)
%| with convex non-quadratic regularization,
%| minimized via preconditioned conjugate gradient algorithm.
%| cost(x) = (y-Ax)'W(y-Ax)/2 + R(x)
%|
%| in
%|... |
eb83c3296c8e9ab0e52583ae725e91c3ff845a740b20fdd76891b848912a5021 | MATLAB | 9,215 | 240 | classdef SuhWebUpdate < handle
% AUTHORSHIP
% Primary Developer: Stephen Meehan <swmeehan@stanford.edu>
% Math Lead & Secondary Developer: Connor Meehan <connor.gw.meehan@gmail.com>
% Copyright (c) 2022 The Board of Trustees of the Leland Stanford Junior University; Herzenberg Lab
% License: BSD 3 clause
... |
6af7e5f7d7d82953d2487da5efe9ac876ca17dcb19dc3fceded5704da0a7be24 | MATLAB | 9,216 | 213 | % PlaceCellAna.m
% This analyzes place field etc from CMBH file and save in a form that is comparable with the PF ranking made by PlotBinFirRate.m.
%output data
% pData{ian, iday}.spi(icells) : Spatial info
% pData{ian, iday}.rate_map{icells} : Rate map of selected section, includes rm{i}.rate_map, rm{i}.x... |
2f8abc3169516aacbf12a725af5aab8b337423e34abfadf3a2606c15773f2baa | MATLAB | 9,242 | 221 | %% >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> DESCRIPTION
% DIS_rev2_fig_1
% Script to analyse data and produce Fig. 1 for:
% Grieves, Shinder, Rosow, Kenna and Taube (2022)
% The neural correlates of spatial disorientation in head direction cells. eNeuro
%
% USAGE:
% MAP_generate_maps... |
d4bee6a34d851f905291beabc427a41942c9d7ef714933541e5fef9df4cc8482 | MATLAB | 9,243 | 326 | function ob = Gtomo3(sys_type, mask, nx, ny, nz, varargin)
%function ob = Gtomo3(sys_type, mask, nx, ny, nz, options)
%|
%| Construct Gtomo3 object, for 3D tomographic image reconstruction,
%| especially for SPECT and perhaps PET. (For CT use Gcone; see below.)
%| This object does 3d forward and backprojection using ... |
aaaad7e35cb7d6666abf063023756149cdab09b19a24c67b503548e7002ce014 | MATLAB | 9,245 | 231 | function r_out = Calculate_crossing_points(CellX,pick_peak_flag)
% <pick_peak_flag>
% When 0: calculated for frames 28-29, T4 T5 mean isoluminances are 5.82 and 7.12
% When -1: calculated for frames 25-26, when frame rate = 6.147
% Have regimes for ON and OFF cells.
if (CellX.ON_flag == 1) % ON
peak_stim = ... |
c0ae8b5da217c56c44274247e38e67428ab182b4208dd6d97a388199084abf30 | MATLAB | 9,252 | 251 | function [PairwiseSigTable, xpos,out_st] = boxplot_multcompare(data_mat,group_ids, varargin)
% function boxplot_multsig(data_table, ind_var,group_var, type_var,varargin)
% data_mat[2d array]: data with rows for observations and columns for
% variables (study groups).
% group_names [cell string]: list of groups names
... |
1c0bfa69db22908b620fdfcfab274d71ac2337422f146383105bcb1358b89e96 | MATLAB | 9,259 | 288 | clear all
close all
dbeh_path='C:\Users\xscogno\MATLAB\Flavio2\Waves\Tracking data\';
rec_data_path = 'C:\Users\xscogno\MATLAB\Flavio2\Preprocessed_data\';
dpath_spikes='C:\Users\xscogno\MATLAB\Flavio2\Preprocessed_data\';
dpath_sorting='C:\Users\xscogno\MATLAB\Flavio2\Waves\Sorting\';
dpath='C:\Users\xscogno\MATLAB\F... |
2a64e9e0d2b41c499e6a8818b402e48a61141b7bfb4e0f0aa41eb68110b25b45 | MATLAB | 9,266 | 240 | function checkSound(devIndex, latencyClass)
% Measures how well the sound hardware of this computer keeps up, by
% opening the audio device once per latency class, playing a tone through
% each and reporting what happened. Use it when sound crackles, drags or
% plays at the wrong speed, to see which setting your machin... |
e1bbda02cce3d64f915cb200d20a55305824170b12f0e79b92290628e5b3292c | MATLAB | 9,266 | 257 | function [VDM,IPcell]=FieldMap_create(fm_imgs,epi_img,pm_defs)
% Function to create VDM file from fieldmap images and can be called
% using FieldMap_preprocess.m
%
% This function uses routines from the FieldMap toolbox to:
% 1) Create a single field map from input fieldmap data.
% 2) Convert fieldmap to a voxel displa... |
11f04f2a5e565da59dfd13a7ddce03757d4c79d4fe733cc6ec6c901b9167017c | MATLAB | 9,277 | 256 | classdef ToolBarMethods
% AUTHORSHIP
% Primary Developer: Stephen Meehan <swmeehan@stanford.edu>
% Math Lead & Secondary Developer: Connor Meehan <connor.gw.meehan@gmail.com>
% Bioinformatics Lead: Wayne Moore <wmoore@stanford.edu>
% Copyright (c) 2022 The Board of Trustees of the Leland Stanford Junior Un... |
f4b58d4a0f543e9cdd8d2f4305d8600fd18f1d68748c1180a19652147d3211e0 | MATLAB | 9,281 | 300 | function [w1 dphase theta B1q]=RF_pulse(P,teile,B1overide)
% comments here
% last change: 2015/06/11 by PS
if nargin>2
P.B1=B1overide;
end;
tpulse=0:P.tp/teile:P.tp;
dphase=0;
if any(strcmp(P.shape,'SPINLOCK'))
% lineare erhöhung der pulse bei td ungl. 0
% w1 =tpulse*0+ (P.n*P.tp+(P.n-1)*P.td)/(P.n*P.tp)*... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.