sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
b2da1aeacd26dd83072456c2ba1d8151e70e9965aa5c3a80003df65e3e50bcd3 | MATLAB | 1,918 | 63 | function spm_print(job)
% Print the graphics window
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
% John Ashburner
% $Id: spm_print.m 8776 2013-11-14 09:04:48Z roboos $
% Run spm_print always as job to get configured print optio... |
b1dd04b477a878f396527553e19d462e4492b7c53acfaaee84f235c6679a722d | MATLAB | 1,919 | 50 | % VL_VLAD VLAD feature encoding
% ENC = VL_VLAD(X, MEANS, ASSIGNMENTS) computes the VLAD
% encoding of the vectors X relative to cluster centers MEANS and
% vector-to-cluster soft assignments ASSIGNMENTS.
%
% X has one column per data vector (e.g. a SIFT descriptor), and
% MEANS has one column per component... |
0c00e604d0ec0167c99812c065dc9c13a347745c0932eeb46111c8cd9914b0ed | MATLAB | 1,920 | 58 | %% calculate the ICC of each connectivity in SWU data
%% ICC script downloaded from: https://ww2.mathworks.cn/matlabcentral/mlc-downloads/downloads/submissions/22122/versions/12/download/zip/IPN_agreement.zip
%% para
sub_num = 120;
ob_k = 3;
node_num = 48;
pro_type = {'No_smooth','Smooth'};
net_type = {'VBM','DBM'};
... |
2b36521b9eee4580af1ca1284f4fe7f205ec66f877762e448e5771828f60fe12 | MATLAB | 1,920 | 62 | % mglTestMetalRepeatingBlts: an automated and/or interactive test for rendering.
%
% usage: mglTestMetalRepeatingBlts(isInteractive)
% by: Benjamin Heasly
% date: 03/10/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Test lots of texture blts, repeated by... |
311356f57f6a5563d4497f19eb28b24be13578b456129dfa9a6b3bbb657d7feb | MATLAB | 1,920 | 52 | classdef IntracellularStimuliTable < types.hdmf_common.DynamicTable & types.untyped.GroupClass
% INTRACELLULARSTIMULITABLE Table for storing intracellular stimulus related metadata.
% REQUIRED PROPERTIES
properties
stimulus; % REQUIRED (TimeSeriesReferenceVectorData) Column storing the reference to the recorded s... |
62e8ca9fecd8515ced4099e2e7f1a5ed9d6bfd79010fc0178530417c1357b9c2 | MATLAB | 1,920 | 61 | function [y1]=rs(y1,T,f2)
% [y2] = rs(y1, T) resamples y1 to the target sampling rate y2 using T
% [y2] = rs(y1, f1, f2) resamples y1 with f1 to the target sampling rate f2
%
% RS does not require overlap data.
%
% see also: SOPEN, SREAD, SCLOSE, MAT2SEL, SAVE2TXT, SAVE2BKR
%
% Reference(s):
% $Revision: 8776 $
% $I... |
88bc434d37efadd468461b01e6fc4dc62176e8be6e35f1a3d40423dee49f351d | MATLAB | 1,920 | 67 | function hdr = mayo2nifti1(ohdr,mat)
% Convert from an ANALYZE to a NIFTI-1 header
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: privatemayo2nifti1.m 8776 2013-11-14 09:04:48Z roboos $
if isfield(ohdr,'magic'),
hdr =... |
d767c40c2b0d6302db6c0e12ffc6550c2f004ed5c8085acc9b6eed741645639e | MATLAB | 1,921 | 56 | function mouseMove(obj, firstClick, reset)
persistent fullRange prevPoint range width height ;
if ~exist('reset', 'var')
reset = false;
end
if ~exist('firstClick', 'var')
firstClick = false;
end
% get mouse position
point = obj.imhandle.Parent.CurrentPoint;
point ... |
df604587e0a08cd4521693349c4822dad1cc17b3641677a7a7ac18e973f19938 | MATLAB | 1,922 | 63 | function res = singlepulses(stimchans,ntrials)
%function res = singlepulses(stimchans,ntrials)
%
% This function runs single pulses in both polarities for a total
% of ntrials*2 trials. It will take about ntrials/10 minutes to run.
%
% INPUTS
%
% stimchans a 1x2 matrix containing the channel numbers acco... |
e4a180f76cc9a717a9f37082bf1e79a7cbee832a1d9f588ec3ea249a33d605cd | MATLAB | 1,922 | 67 | % processIInj_all.m
%
% Function that processes current injection data from ephyData in
% user-selected pData file(s)
% Calls preprocessIInj(). Meant to be run on pData processed before
% preprocessIInj() was added to preprocess()
%
% INPUTS:
% none, but prompts user to select pData files to process
%
% OUTPUTS:
% ... |
f8a14e46495fee1947618da98c0d8002720cee88957ff0d0c3466296b1c792d7 | MATLAB | 1,922 | 79 | %tableS4_FA_diffs_pbase_vary_synthetic.m
%%
clear all;
close all;
clc;
warning('on','all')
scriptdirs = {pwd; '..\..\plot'; '..\..\analyze'; '..\..\helper_functions'};
addpath(scriptdirs{:})
datadir = pwd;
ssfile = 'subsample1000_pbase_vary.mat';
sspath = fullfile(datadir,ssfile);
%% paths
tabledir = datadir;
tab... |
7f8c54120855f933255fa4fc97505d19df370bf367e80066ff30ac29a46a393a | MATLAB | 1,923 | 56 | function plot_individualExamples(csInfo, z, segInfo)
%% Set up
csLoc_cycle = csInfo.timeRel2Cycle_sec;
cycleNum = csInfo.cycleNum;
figure()
cycleExample = tight_subplot(4,1,[.04 .03],[.03 .03],[.01 .01]);
%% Fig A: Stim and CS location
axes(cycleExample(1));
plot(z.cycleTime_b, nanmean(z.cycleMat_tVel), 'r', 'Line... |
be784717973320389dbd1f660d51dd83ed1866b9fbbd2d9903e9d5a0d681f9e6 | MATLAB | 1,923 | 51 | function channelpos = fillmissingprobe(channelpos)
% Fill missing values of a neuropixels probe map
% Extract unique x values
[xUnique,~,chOrdertmp] = unique(channelpos(~isnan(channelpos(:,1)),1),'stable');
xUnique = xUnique(~isnan(xUnique));
chOrder = nan(1,size(channelpos,1));
chOrder(~isnan(channelpos(:,1))) = chO... |
1538929a06d63f799f52fecd782c0b4c7f89e4b315e7e2b4cbd62abd23160621 | MATLAB | 1,924 | 63 | function [] = Fig06_BidirRespMod_Normalized()
% Code for plotting the mean change in ΔF/F after song-type transitions relative to ΔF/F before the transitions in Fig. 6e,h,.
GT = 'pIP10'; Target = 'pIP10_NR'; % Fig. 6e
% GT = 'pMP2'; Target = 'pMP2_NR'; % Fig. 6h
switch Target
case 'pIP10_NR'
TargetROI = 3... |
3e86c117954716bc91017d746f51f36030a97a8f8d58383c73d4d1502affc9b4 | MATLAB | 1,924 | 62 | function F=makeLMfilters
% Returns the LML filter bank of size 49x49x48 in F. To convolve an
% image I with the filter bank you can either use the matlab function
% conv2, i.e. responses(:,:,i)=conv2(I,F(:,:,i),'valid'), or use the
% Fourier transform.
SUP=19;%49; % Support of the largest filter (mus... |
5eade07ed2f3e6b4ab6b64b22333bab3a184435efee869265b4a9c36dbf9a798 | MATLAB | 1,925 | 42 | %Put all the volumes in one matrix
clc;clear
addpath '/Users/Tara/Documents/Projects/CHBHVisit/PerceptualLoad/Data/MRI_Data/';
filePath='/Users/Tara/Documents/Projects/CHBHVisit/PerceptualLoad/Data/MRI_Data/';
% addpath '/Volumes/jenseno-avtemporal-attention/Load/MRI_data/Processed Data/';
% filePath='/Volumes/jensen... |
725919eb56fad1759e8cec65190a7a159f9eba8f5220e14207f927dc6df19944 | MATLAB | 1,925 | 45 | function mltp_compute_bfo_general_average(obj, rotDeg, group)
numAngles = 360 / rotDeg;
bfo_session_prob_mean = zeros(obj.Experiment.getNumSessions(), numAngles);
bfo_session_prob_std = zeros(obj.Experiment.getNumSessions(), numAngles);
bfo_session_corr_mean = zeros(obj.Experiment.getNumSessions()... |
c1cdfb48212e11f78b1c4232da033b44310a16ad25f0d270deb66c9afa5dff49 | MATLAB | 1,925 | 56 | % XMLTree: XML Toolbox for MATLAB.
% Version 1.3 21-Apr-2008
%
% XML file I/O.
% xmltree - Constructor (XML parser).
% save - Save an XMLTree in a file.
%
% XML Tree manipulation methods.
% add - Add a node in a tree.
% attributes - Handle attributes of a node.
% branch - Extract a s... |
36ee0bbeb0f56069d976ba4340283fdf20397ea9a761f4b763c95074642b1c4c | MATLAB | 1,926 | 73 |
function [net_config, net_exp_info]=prepare_running_model(train_opts)
if train_opts.run_evaonly
[net_config, net_exp_info]=do_prepare_evaonly(train_opts);
else
[net_config, net_exp_info]=do_prepare_train(train_opts);
end
end
function [net_config, net_exp_info]=do_prepare_evaonly(train_... |
677d6a3448c7ad1edba839f6a62b86f54f76e63fe127402c8a7f31c9cdf9a736 | MATLAB | 1,926 | 51 | %Example demonstrating peak interpolation (finds the peak of a function,
%interpolated between samples using the peak and its two neighbors).
%This is an example of subample delay estimation: finding the subsample
%peak of the cross correlation between a signal and its delayed version.
%Note that this isn't necessar... |
ece14db39ec54cd16c66373a9d6b663948b6ac7da8e45de1345885c8c0a3ff1c | MATLAB | 1,926 | 49 | function [delta_jtr] = jitter_delta(spk_delta,jtr_int)
% jitter_delta.m - permute binary vector data within intervals
% as in Amarasingham et al. (2012)
% 7/16/22 KC
%inputs:
% spk_delta = binary vector, NxM matrix, or Nx1 cell array
% -> if matrix: N = # trials, M = # msec/trial
% -> 1 = spike occurred in the corre... |
52cb4a95573a1185181b3b1aedaede38c4758647780f18b5fa7dc7f9908dcbad | MATLAB | 1,928 | 43 | clear
file=dir('ACC*reverse*.mat');
k=1;
for jj=1:length(file)
load(file(jj).name)
n=length(outcome);
n1=fix(n*0.15);n2=fix(n*0.50);
go1=[find(outcome(1:n1,1)==1);find(outcome(1:n1,1)==2);find(outcome(1:n1,1)==5)];
go2=[find(outcome(n1+1:n2,1)==1);find(outcome(n1+1:n2,1)==2);find(outcome(n1+1:... |
7f497e9543e0cd01d8667b283d47c9db762fd734ddfa36d3efa67dff3d305d02 | MATLAB | 1,928 | 58 | clear all
base_folder = 'Data\OpenField';
qq=0; uu=0;
SesList = getFiles('Data\OpenField',{'opF'},{''}); % exclude Nw (no whiskers) files
for Session = SesList'
clear Quality Tagging opF
Session = cell2mat(Session);
iSes = find(strcmp(SesList,Session));
if find(Session=='.'),
Sesname ... |
2c6185ec40eb06c83ae918e535b94e0dc1baf6d7820e4e6711913d416e76f7a5 | MATLAB | 1,929 | 52 | function dtseries_var=get_variance_file(dtseries_var_path,handles)
%% dtseries_var=get_variance_file(dtseries_var_path)
%
% This function was made to calculate variance files if they does not exist
%%
% [exist_variance_file dtseries_var_path]=isfile(dtseries_var_path);
[exist_variance_file dtseries_var_path] = check_... |
f9bf5c087fc4483670e2ff2ce091cec6c119c428986995df1a00fe11fea83e62 | MATLAB | 1,929 | 54 | function status = fillSetupOFFParameters( obj, data )
% Fill setup LFP recordings OFF stimulation class
%
% Syntax:
% [ status ] = FILLSETUPOFFPARAMETERS( obj, data );
%
% Input parameters:
% * obj - object containg data
% * data - data from json file(s)
%
% Output parameters:
% * status
%
% Example:
% sta... |
5cbd3eb0162ea376d4935db4f1d17287a5532f9abc40ca1d1cfcd38eb549001b | MATLAB | 1,930 | 63 | %
% Please cite this paper if you use any component of this software:
% S. Soltanian-Zadeh, K. Sahingur, S. Blau, Y. Gong, and S. Farsiu, "Fast
% and robust active neuron segmentation in two-photon calcium imaging using
% spatio-temporal deep learning," Submitted to PNAS.
%
% Released under a GPL v2 license.
functio... |
a935759c46051e36a62bfa734c20a69a82fdf4532f9ff7543a29e7823991246d | MATLAB | 1,930 | 75 | function dataSize = TDMS_getDataSize(dataType)
%TDMS_getDataSize Returns data size in bytes
%
% This function is used to return the size of raw data for predicting the
% # of chunks of raw data
%
% dataSize = TDMS_getDataSize(dataType)
%
% INPUTS
% =================
% dataType : Labview dataType
%
% O... |
c42f20fc01d3c7347d77386789125b7f985ef8c45f8edab274f40093ea8d3bb1 | MATLAB | 1,930 | 58 | % detectSpikes.m
%
% Function that takes in voltage trace and returns indicies of when action
% potentials occurred. Action potentials defined by threshold crossings in
% first derivative of voltage (dv/dt). Adacent threshold crossings must be
% at least refractoryPeriod length of time from each other.
%
% Returns ... |
e7906fa4a3fcd83098becee773ed2167bbee107109d031ac6e150a8c903fc4f9 | MATLAB | 1,931 | 76 | function [h_line, h_patch] = lpp_plot_shading(xaxis, mean, error, varargin)
% usage: [h_line, h_patch] = wani_plot_shading(xaxis, mean, error, varargin)
%
% input: xaxis, mean, error
%
% optional_inputs: 'color', 'color_shade', 'alpha', 'linewidth'
color = [0.3333, 0.6588, 1.0000]; % default color
use_color_shade ... |
29ad3abf980b5596aa074c0767dff4a0357f82227f718c65d56c451ac24fd569 | MATLAB | 1,932 | 72 | function[]=plot_mssVScorrect(cluster_outcome,nbins,tickspacing)
% Plots relationship between the mean silhouette score and the percent correct of a cluster combination
overall=nan(1,length(cluster_outcome));
pcorr=nan(1,length(cluster_outcome));
for i = 1:length(cluster_outcome)
overall(i)=cluster_outcome(i).ove... |
261f6efee643681a1af1f9d2dfca3dfc6d2f6d23da080c339edc1c1f9ade179a | MATLAB | 1,933 | 60 | % mglTextSet.m
%
% $Id$
% usage: mglTextSet(fontName,fontSize,fontColor,fontVFlip,fontHFlip,fontRotation,fontBold,fontItalic,fontUnderline,fontStrikeThrough)
% Note that in metal, bold, underline and strikeout are not
% implemented
% by: justin gardner
% date: 05/10/06... |
2fcf705f6fa4aaf5301ab0352f0cd357cb83b880f68b74652fe116514e6b29a3 | MATLAB | 1,933 | 52 | classdef IntracellularResponsesTable < types.hdmf_common.DynamicTable & types.untyped.GroupClass
% INTRACELLULARRESPONSESTABLE Table for storing intracellular response related metadata.
% REQUIRED PROPERTIES
properties
response; % REQUIRED (TimeSeriesReferenceVectorData) Column storing the reference to the record... |
f3391d33dbfdb058ecd43f6f75087c8af4d8631e394bc5238b00bf94d828ec01 | MATLAB | 1,933 | 36 | function [Ex, Ey, Ez] = bemf3_inc_field_electric(strcoil, Points, dIdt, mu0)
% Computes electric field from the coil via the FMM
% in terms of the pseudo electric potential evaluated for segment centers
%
% Copyright SNM 2017-2020
% Compute pseudo potentials
N = size(Points, 1);
... |
49af562c11585af927b436776b704176ccf66812698f30feb9098f222fbd87da | MATLAB | 1,934 | 42 | clear
file=dir('ACC*uncertain*.mat');
k=1;
for jj=1:length(file)
load(file(jj).name)
n=length(outcome);
n1=fix(n*0.33);n2=fix(n*0.67);
go1=[find(outcome(1:n1,1)==1);find(outcome(1:n1,1)==2);find(outcome(1:n1,1)==5)];
go2=[find(outcome(n1+1:n2,1)==1);find(outcome(n1+1:n2,1)==2);find(outcome(n... |
3c5573d413b78129004376f991e2f231d4f05dcfe788ebd4eeeab66447b538ad | MATLAB | 1,936 | 88 | function [ynn_t,nn_stat,nn_dyn] = SolveNLSNLD(Imat_t,dsr_t,ni,nh,no,tn)
maxiter = 2;
ynn_t = zeros(tn,no);
int_mat_1 = zeros(nh,tn);
check1 = Inf;
x_in = 0.95.*Imat_t;
net_s = newff([0 1].*ones(ni,1),[nh, nh],{'logsig','logsig'},'trainlm');
for iter = 1:maxiter
% Training of the dynamic ne... |
f5902a75abed65e4f7bb2f7c254f82c264f16e9e1f4466d9d0da6d895339605a | MATLAB | 1,938 | 58 | clear;
close all;
clc;
initime = clock;
addpath('funcs');
Delta_E = 0.3; Delta_I = 0.027; Iattn = 0.02;
allTime = 4000;
steps = 201;
lateral_start = 0.09; lateral_end = 0.18;
strt_prd = 300000; end_prd = allTime/0.01;
% container
PETAsheet = zeros(steps,16,16,5);
PETOsheet = zeros(steps,16,16,5);
finalRsheet = zero... |
fb9d6b0e0f3802c96b926609e9321a9070a77a91ce6e5177b5dba9725f206ed1 | MATLAB | 1,938 | 59 | % fictracOnly.m
%
% Trial Type Function
% Only records FicTrac channels
%
% INPUTS:
% settings - struct of ephys setup settings, from ephysSettings()
% duration - duration of trial, in seconds
%
% OUTPUTS:
% rawData - raw data measured by DAQ, matrix where each column is data
% from a different channel
% ... |
18c96b3ad1bed27a992cee228f69e68e790a678214ffbf9dd373e1d87af37d28 | MATLAB | 1,939 | 65 |
% Author: Guosheng Lin (guosheng.lin@gmail.com)
% this is a simpler demo file for testing on your own images.
function demo_test_simple_sal()
rng('shuffle');
addpath('./my_utils');
dir_matConvNet='../libs/matconvnet/matlab';
run(fullfile(dir_matConvNet, 'vl_setupnn.m'));
run_config=[];
run_config.use_gpu=true;
%... |
f9b6e6652b2d1cafb2ed60561d1179bc5b66cfb7c73de0d1b5f034e359d58159 | MATLAB | 1,939 | 57 | clear all; close all; clc
%% create figure 2E
%% janine.thome@zi-mannheim.de
%% SPECIFY:
% allgemein
groupN = [0,1]; % group coding
groupL = ["Controls", "ALS"]; % group labels
GroupInd = 2; ... |
9751795522aaf153c711b68990897d6027c61aa72dbf0c33dc156a8930a2097a | MATLAB | 1,942 | 54 | % extract statistical texture histogram using integral histogram(texture and lbp features)
function [featArr] = sp_find_texture_grid(chns, grid_x, grid_y, patch_size)
[featArr.texture, ~] = calcMeanandVariance(chns.imtext, grid_x, grid_y, [patch_size, patch_size], 0);
x_lo = grid_x; x_hi = grid_x + patch_size - ... |
fb40c35dddbff05d6c4ce3d314702178e05cbb164fc22eef85cf3de0b5a43dd0 | MATLAB | 1,942 | 60 | function dki_nyu = mrtrix2nyu(tensor_mrtrix,kurtosis_mrtrix)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% % NYU (dki_fit)
% % Tensor
% D_ind =
% 1 1
% 1 2
% 1 3
% 2 2
% 2 3
% 3 3
% % Kurtosis
% W_ind =
%1. 1 1 1 1
%... |
e6bd62837afee5d43e7c6a97619d14270e9d383a88d4a677c00958363534f9e7 | MATLAB | 1,944 | 55 | function propValue = TDMS_getPropValue(fid,propDataType,UTC_DIFF,DATE_STR_FORMAT)
%TDMS_getPropValue Returns the property value given the Labview DataType
%
% propValue = TDMS_getPropValue(fid,propDataType,UTC_DIFF)
%
% See Also: TDMS_getDataTypeName
SECONDS_IN_DAY = 86400;
CONV_FACTOR = 695422; %datenum('01... |
c4d600be2a9161c38cd8bc689c405ce8dcfe91f8b7093dfe0c08887b64534099 | MATLAB | 1,946 | 69 | function t2(DATA,ROI,AddInfo)
% This Aedes plugin calculates T2 map
% This function is a part of Aedes - A graphical tool for analyzing
% medical images
%
% Copyright (C) 2006 Juha-Pekka Niskanen <Juha-Pekka.Niskanen@uku.fi>
%
% Department of Physics, Department of Neurobiology
% University of Kuopio, FINLAND
%
% Th... |
c57742f108aa1e23a9c2eb78ff2a1892b3bd092ad24be61bd321a757f2980cb0 | MATLAB | 1,946 | 56 | function [] = Fig03_SongTypePref_TN1dsx()
% Code for plotting the distribution of song-type preference for TN1 neurons in Fig. 3c.
%% parameters
nTrials = 6;
nStim = 6;
T = 1370; % T
Thre_Trans = 6;
Thre_SongType = 0.05;
PreEventImg = 72; % 10 s (71.0443)
StimDurImg = 72; % 10 s (71.0443)
OneTrialDur = 214; % 30 s (2... |
e30c465663137a90dae99be1504b2b65322c498b36809a108ff2d4e0699fb809 | MATLAB | 1,946 | 40 | function [BTA, behaviorCounts, BTA_std] = fastparallel_BehaviorTriggeredAverage(Concatenated_Behaviors,Concatenated_LEDPowers,BTA_seconds_before_and_after,fps)
%This function performs the core BTA caculation
downsample_number = 0;
seconds_before = BTA_seconds_before_and_after;
seconds_after = BTA_secon... |
7726a291dce18314b313aaadc8dd21a6861c1d74d0a432a517d3cbaab78643d9 | MATLAB | 1,947 | 45 | % VL_LOCALMAX Find local maximizers
% SEL=VL_LOCALMAX(F) returns the indexes of the local maximizers of
% the Q-dimensional array F.
%
% A local maximizer is an array element whose value is larger than
% the value of all its neighbors. The neighbors of an element
% i1...iQ have subscripts j1...jQ such that ... |
9389bf000185ea870cb5b9aa0381b5c47bbcb8136fc3ced1414d64927db574d1 | MATLAB | 1,948 | 64 | function []= plot_LDA(X,Y,w,iters)
% figure
% hold on
% utils.set_figure(15)
lda_d1=X*w(:,1);
lda_d2=X*w(:,2);
mixed=find(Y==4);
som=find(Y==1);
pv=find(Y==2);
%null=find(Y==3);
cur_mixed=cell(1,iters);
cur_som=cell(1,iters);
cur_pv=cell(1,iters);
cur_null=cell(1,iters);
total=length(Y);
for i =1:iters
tm=len... |
b0af050189813d113906c767543502d20af279326ce5cdf4a41eb4183c1d6b2a | MATLAB | 1,948 | 58 | function [outlabels] = ReorderLabels(ctrx,ftrx,f2c,expi,jd,varargin)
mindswap = myparse(varargin,'mindswap',10);
VALS = 1;
IMP = 2;
TIMESTAMP = 3;
cnflies = numel(ctrx);
fnflies = numel(ftrx);
nframes = max([ctrx.endframe]);
clabels = zeros([cnflies,nframes,3]);
for i = 1:size(jd.labels(expi).flies,1),
fly = jd.la... |
cfe86d86b56a4e3cd7918556e6fd1c36567f897320e12a7dd917e5fdc7b1ba0b | MATLAB | 1,948 | 84 | function [heatMap, gaze, plotRange] = heatmap(obj, startIdx, endIdx, eye)
%% heatMap
% generating heatMap data
%
%% Syntax
%# heatMap(obj);
%# obj.heatMap();
%# [h, g] = heatMap(obj, startIdx, endIdx);
%
%% Description
% This function generates the data array (heatMap) for visualize a heatmap of the
% eyetracker. A... |
522c5752e151678b802beeacb9eb03a3a5c7ada65bb83276729cbc14ee35370a | MATLAB | 1,949 | 57 | function ideal = comps2ideals(comps, baseim, varargin)
% ideal = comps2ideals(comps,varargin)
%
% Calculate the SNR-adjusted ideal components frm the full components.
%
% 2018 - Alex Song & Adam Charles
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% Input parsing
if nargin > 2
k... |
97f32439f62daaa975b67f336aa6a3125527f4aab905493ea005e197c8108c44 | MATLAB | 1,949 | 60 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RASTRIGIN FUNCTION
%
% Authors: Sonja Surjanovic, Simon Fraser University
% Derek Bingham, Simon Fraser University
% Questions/Comments: Please email Derek Bingham at dbingham@stat.sfu.ca.
%
% Copyright 2013. Derek Bingham, Simon Fr... |
feafcefc2d763468021c3f14289dbd7ca12ecba76ed22c3fac1df69a9e6eee6b | MATLAB | 1,949 | 56 | function [df, maxDf] = fir_df(cutoffArray, Fs)
% FIR_DF computes default and maximum possible transition band width from
% FIR filter cutoff frequency(ies)
%
% Use as
% [df, maxDf] = fir_df(cutoffArray, Fs)
% where
% cutoffArray filter cutoff frequency(ies)
% Fs sampling frequency in Hz
%
% Required fil... |
3f1cdd0efd48207a747fefe568d7f302bc494ec163a3c459eeacb74360f72f18 | MATLAB | 1,950 | 69 | % computeDFF_all.m
%
% Function to compute dF/F for all date folders specified in function input
% or through gui.
%
% INPUT:
% dateFolderPaths - [] if gui to select one date folder; otherwise,
% cell array of full paths to date folders
%
% OUTPUTS:
% None, but creates pData.mat file to save dF/F, timing, an... |
a89400cca6eb67a4f58cdb86c89bbf09da39d50f31b2f886e010a71007f1d591 | MATLAB | 1,950 | 54 | function general_tetrode_init(referenceFolder)
projectType = 'general_tetrode';
fprintf('Select the project instance folder (the project scripts will be saved in it)...\n');
instanceFolder = uigetdir(pwd, 'Select project instance folder to create');
if ~exist(instanceFolder, 'dir')
fprintf('Creating instance fold... |
1c402620b242694b7280a5675810392ae6ecba3f33518a209d21b97bd567ba5e | MATLAB | 1,952 | 49 | clear
%load F1s.mat
filenames = {'sim_0','sim_1','sim_2','sim_3','sim_4',...
'sim_5','sim_6','sim_7','sim_8','sim_9'};
radii = [4:10];
% radii = [4:8];
SNRs = [1:6];
% SNRs = [3:4:23];
[list_Recall, list_Precision, list_F1] = deal(zeros(length(filenames),length(radii),length(SNRs)));
parfor n = 1:(length(filenames)... |
61be4c88de9adfc6b31995b9c5ab54df49c138d673e9df8b328c2f28a222dfb9 | MATLAB | 1,952 | 52 | % getCatStepValsCond.m
%
% Helper function for saveLegStepParamByCond_fly()
% Returns step val, as well as leg calls for selected amp and
% dur, given keys. Conditions on step value. Operates on single vectors.
% Modification of getCatStepValsXYcond.m
%
% INPUTS:
% stepValAll - vector of all step param vals, length... |
1d59862472b8ee6ed198f0c34943d9f7ca5384a6be532922dc6aa10c428113b8 | MATLAB | 1,953 | 64 | % rampVInj.m
%
% Voltage Injection Function for visual panels.
% Delivers linear voltage ramp between user specified values for user
% specified duration. Repeats until end of trial.
% Voltage values are not scaled, as they are not meant to be sent to the
% amplifier.
%
% INPUTS:
% settings - struct returned by ... |
33ad94c671cea928e8f2b9d6a699122dbca8941d3f0d3960f1f317dfff2c2af4 | MATLAB | 1,953 | 64 | function y = ft_preproc_slidingrange(dat, width, varargin)
% FT_PREPROC_SLIDINGRANGE computes the range of the data in a sliding time
% window of the width specified. Width should be an odd number (since the
% window needs to be centered on an individual sample).
%
% Use as
% y = ft_preproc_slidingrange(dat, width, ... |
a17db516be4a10ae721239ff6ba937d3c1621bb6fd437fdc53e90fdba46f8124 | MATLAB | 1,953 | 87 | % script for quick plots of avgFictracOpto
figure;
hold on;
sampRate = 1000;
avgWin = 0.1;
durInd = 2;
for i = 1:length(NDs)
% moving average smooth FicTrac data
movAvgFwdVel = moveAvgFilt(fwdVelData.means{i,durInd},sampRate,avgWin);
plot(durTs{durInd},movAvgFwdVel);
end
yScale = [-5 20];
xScale = [dur... |
dfa6c5e757088c3e106bd7df38523cb3d3f9b5f16b03e4597bdd60e03fac3121 | MATLAB | 1,953 | 49 | clear
%load F1s.mat
filenames = {'sim_0','sim_1','sim_2','sim_3','sim_4',...
'sim_5','sim_6','sim_7','sim_8','sim_9'};
radii = [4:10];
% radii = [4:8];
SNRs = [1:6];
% SNRs = [3:4:23];
[list_Recall, list_Precision, list_F1] = deal(zeros(length(filenames),length(radii),length(SNRs)));
parfor n = 1:(length(filenames)... |
221d5db42ed9894bb7ca900a2f1430dcf702f2e884501a91afdc84074f5f751e | MATLAB | 1,954 | 45 | function mltp_compute_bfo_general_placey_average(obj, rotDeg, group)
numAngles = 360 / rotDeg;
bfo_session_prob_mean = zeros(obj.Experiment.getNumSessions(), numAngles);
bfo_session_prob_std = zeros(obj.Experiment.getNumSessions(), numAngles);
bfo_session_corr_mean = zeros(obj.Experiment.getNumSes... |
7d6c769e55cea7ed8cce76959fcc5f8a7187ff363fb84f79d66c5f7d193195fa | MATLAB | 1,954 | 51 | function [r_s,T_s,edges_s,edge_type] = create_mesh(P)
% put nodes in position
aux_x = P.x0:P.x0:P.max_x0;
aux_y = [0:P.y0:P.max_y0 P.max_y0+P.y0/2];
aux_y2 = [0 P.y0/2:P.y0:P.max_y0+P.y0/2];
x_s = [];
y_s = [];
for l=1:length(aux_x)
if mod(l,2) == 1
y_s = [y_s;aux_y'];
... |
cde76bed11029bd30f9e22ee8e9ee21133d4b42cae483bd8d10e42a2f58b8c02 | MATLAB | 1,954 | 104 | clear
voxel_folder = {'cb_voxel_1', 'cb_voxel_2', 'cb_voxel_3', ...
'ct_voxel_1', 'ct_voxel_2', 'ct_voxel_3', ...
'or_voxel_1', 'or_voxel_2', 'or_voxel_3', ...
'slf_voxel_1', 'slf_voxel_2', 'slf_voxel_3', ...
'mc_voxel_1', 'mc_voxel_2', 'mc_voxel_3', ...
'vc_voxel_1', 'vc_voxel_2', 'vc_voxel_3', ...
'th_voxel_1', ... |
ace39dfe06925655a2bc35069c2289199b59bce47f222fce63eef2d11bf2ec3f | MATLAB | 1,955 | 47 | function [im] = textureBasedStimulus(impath, stats, seed, sizex, sizey, libpath)
% Outputs a frame of texture generated from original image
% (application of Portilla-Simoncelli algorithm)
%
% [im] = textureBasedStimulus(impath, stats);
% impath: string containing path to initial texture
% stats: i... |
bab5f3c1b522c44e199032c0a40f7e74302ee8220a4dcff75a8d12e65076c87c | MATLAB | 1,955 | 42 | function [binned, cut] = from_timestamps_to_binned(DATA, MARKER, neuron, trial, condition, central_marker, bin, m_time, p_time)
%% Function to convert timestamps to binned format
%% authors: Stefano Diomedi
%% date: 22nd February 2024
%
%% Inputs:
% DATA: Timestamp dataset
% MARKER: Corresponding mark... |
2658c4e380c0531c667a9c559a2669f6fc6cab253486e74c9ebc97db26ddfb11 | MATLAB | 1,956 | 46 | function[header]=SONGetBlockHeaders(fid,chan)
% SONGETBLOCKHEADERS returns a matrix containing the SON data block headers
% in file 'fid' for channel 'chan'.
% The returned header in memory contains, for each disk block,
% a column with rows 1-5 representing:
% Offset to start of block in fil... |
3ad4129170dddc5cf87887a3e31034f237b4032197f13d9c2879bb3daba83416 | MATLAB | 1,956 | 54 | % data_name = 'lowBG=5e+03,poisson=1';
addpath(genpath('.'))
%%
num_Exp = 10;
list_Exp_ID = arrayfun(@(x) ['sim_',num2str(x)],0:(num_Exp-1), 'UniformOutput',false);
avg_radius = 6;
r_bg_ratio = 3;
d0 = 0.8;
dir_parent = fullfile('..','data','data_simulation',data_name);
dir_masks = fullfile(dir_parent, sprintf('GT M... |
eab3661dea108b969d8791978b66569449811025beb191f225e8905fa1540d9e | MATLAB | 1,956 | 50 | addpath(genpath('/Users/hyang/Documents/EM-analysis-code/'));
bodyCSVPath = '/Users/hyang/Dropbox (Personal)/Wilson Lab/FreeWalkLegTrack/melanogaster_legAndBodyCSVs/melanogaster_trial_5_20181011_103827.csv';
legCSVPath = '/Users/hyang/Dropbox (Personal)/Wilson Lab/FreeWalkLegTrack/melanogaster_legAndBodyCSVs/position_m... |
3a777a145554d249a3946261b1c072b3adf631483253fb6ca5b2fdad86a1c595 | MATLAB | 1,957 | 84 | function [ds_ct_corr,all_ct_corr,ds_ct_matrix] = organize_corrs (ds_partialcorrs,id_list)
ds_num=length(ds_partialcorrs);
%change this to just load a pooled_clustering file
% mice = {'EC1-1R','EC1-1R','FL5-3L','FL5-3L','FU1-00','FU1-00','GE3-00','GE7-1L1R','GE7-1L1R','GS2-1L','GS8-00','GS8-00'};
% dates= {'2021-11-05... |
4c6e4b40cbe4e9c35062820401c42e4bb050bfa1173618fa158bd5711d230e59 | MATLAB | 1,957 | 63 | function CreateDriftMap(rez)
%% Adapted from Kilosort function datashift2.m
%% by Richard Hardstone (2022_11_30)
if getOr(rez.ops, 'nblocks', 1)==0
rez.iorig = 1:rez.temp.Nbatch;
return;
end
ops = rez.ops;
% The min and max of the y and x ranges of the channels
ymin = min(rez.yc);
ymax = max(rez.yc);
xmin =... |
a828430b81fb7992b90855edf9a26264f8517faad0decdb5cce37e8099b4b586 | MATLAB | 1,958 | 93 | function [hdr,be] = read_hdr_raw(fname)
% Read a NIFTI-1 hdr file
% FORMAT [hdr,be] = read_hdr_raw(fname)
% fname - filename of image
% hdr - a structure containing hdr info
% be - whether big-endian or not
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trus... |
b422e54557cdc5174e4720c9fd49c7432ef55ee3a1b3d8e0101cb44305e7318d | MATLAB | 1,958 | 65 | % renameLegVid.m
%
% Function that renames all leg video tiff files by generating and calling
% Powershell script.
% Assumes leg video tiff files are named legVid_dateTime_#.tiff.
%
% INPUTS:
% rawLegVidPath - full path to rawLegVid folder
% scriptsPath - full path to folder to save scripts
% flyName - name of ... |
ce6078c9f6ee58823c249f8aaa05038b2a6f518b97e91bef64f861a2b21ddcd4 | MATLAB | 1,958 | 63 | %Add Apache POI library to MATLAB's static Java class path
%
%EXAMPLE USAGE
% >> add_poi_path
%
%INPUT
% segment - if '-static', add POI library .jar files to the static path; if
% '-dynamic', add to the dynamic path. {default: '-static'}
%
%VERSION DATE: 20 November 2017
%AUTHOR: Eric Fields
%
%N... |
61ad89394e5f0262899157b15649908fa977458298cdaf810e24526792baab8f | MATLAB | 1,959 | 45 | sBA =
mouse: 'Thalamus39'
date: '20160401'
session: 'Emergence'
movie: '40'
nucleus: 'POm'
whiskers: 'W'
CSCs: [1 2 3 4 5 6 7 10 11 12 13 14 15 16]
fps:... |
fa96fee186b9c7eb1f19d8c6c379cc47c33a8b35d3891956302a4a3e6821c987 | MATLAB | 1,959 | 68 | function [xMean, xStd, Vol, xMedian] = ExtractData(x, ROImap, roiIndex, erodesize, maskBrain)
% [xMean, xStd, Vol, xMedian] = ExtractData(x, ROImap, roiIndex, erodesize, maskBrain)
%% Author: Xu Li
% Affiliation: Radiology @ JHU
% Email address: xuli@mri.jhu.edu
%
% Extract data statistics using ROImap and roiIndex
... |
ec73e3088ff05342905a6186f81e97c60fc754515e38d877248841d1f001cc94 | MATLAB | 1,961 | 59 | % clear;
addpath(genpath('.'))
addpath(genpath(fullfile('..','ANE')))
%%
dir_video=fullfile('E:','data_CNMFE');
list_Exp_ID={'blood_vessel_10Hz','PFC4_15Hz','bma22_epm','CaMKII_120_TMT Exposure_5fps'};
num_Exp = length(list_Exp_ID);
eid = 4;
Exp_ID = list_Exp_ID{eid};
DirSave = ['Results_',Exp_ID];
dir_manual_draw = f... |
33b3c7e009dac926ac779a152c14482903e25ca9c010875db37bad961a6a3d09 | MATLAB | 1,962 | 54 | function [feat, label] = extr_feat_train(im, imgt, descPara)
%% make grid sampling
[imh, imw, c] = size(im); if c ~= 3, error('only rgb image is accepted'); end
nStride = descPara.nstride_train;
patchSize = descPara.patchSize;
s = [imw, imh]; nxy = floor((s - patchSize) / nStride) + 1;
% s1 = patchSize - s +... |
88386e6946a795ee690e1c7816197a4a9933cb8a0a2fa6aa7a80e9373ab0737d | MATLAB | 1,962 | 59 | % determineStepLength.m
%
% Function that determines length of each step (distance moved in xy plane)
% In units of body lengths
%
% INPUTS:
% legXPos - matrix of leg x positions over time; num frames x num tracked
% pts
% legYPos- matrix of leg y positions over time; num frames x num tracked
% pts
% ... |
6026db6a7270dfb45d0ae2d1a2b99a48e00009fc45cf6309d60685ade53b4323 | MATLAB | 1,963 | 62 | function ft_flush_header(filename, varargin)
% FT_FLUSH_HEADER removes the header information from the data queue
% this also removes all data associated with the specific header.
%
% Use as
% ft_flush_header(filename, ...)
%
% See also FT_FLUSH_DATA, FT_FLUSH_EVENT
% Copyright (C) 2007-2010 Robert Oostenveld
%
% T... |
67d90d134bf40e395e4cea4761aaeecb64e2cb9a3bbf3d65a2ea0149e58391ac | MATLAB | 1,963 | 51 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%The function rgb2yuv converts the RGB matrix of an image to an YUV format%
%matrix for the image. It plots the images, if Plot Flag is equal to 1. %
% %
%Example ... |
2637d90bf6b2f043dd050ebd57f5153dca2f82f1b8b706d1dd0b94a7cac3e489 | MATLAB | 1,964 | 55 | function [T,allTrials,meanTrials,semTrials,nrTrials, catTrials] = ...
simseq_getStimBlocksFromDataRuns(dataAll,trials,params)
% Chop data:
% er_ChopTSeries2_VaryTriaLength needs data input: TRs/time by voxels
%
% VoxModel or VoxData are structs with one field for each voxel,
% each field has cells wi... |
bb2020093b0f6850c1165d2a6849aa5463a45a416d5cd01349f753e2d9a0401b | MATLAB | 1,965 | 37 | % Author: Zachary Chiang, Buenrostro Lab, Harvard University
% Finds all pixels correlated to a given peak pixel over all images of an
% IGS experiment and sums signal into a cycles by channels matrix
function[mat spot] = spot_caller(peak, all_stacks, spot_vol, spot_dim, corr_thresh)
% get sequencing parameters
... |
be29c6d8613577fe2e132fa23792980aa6239df6c4f6f4fda91bd4134f65f106 | MATLAB | 1,965 | 59 | function [trl] = read_fcdc_trl(fn);
% READ_FCDC_TRL reads trial definitions from a file
%
% Given a file which defines N trials, this function returns a Nx3
% matrix with the begin latency, end latency, and the latency offset
% of the first sample of each trial. The latencies are in seconds.
%
% [trl] = read_fcdc_trl(... |
8a6ec54add78432554590bb078024cc32132ca3ba48b89f07451f17c9cbebd93 | MATLAB | 1,966 | 74 | function create(obj,wrt)
% Create a NIFTI-1 file
% FORMAT create(obj)
% This writes out the header information for the nifti object
%
% create(obj,wrt)
% This also writes out an empty image volume if wrt==1
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Cen... |
df1fc98ff3527f42fecd59f8def6c71a8c8ba8f8fe97736a5dc2db6832811564 | MATLAB | 1,966 | 49 | classdef CompassDirection < types.core.NWBDataInterface & types.untyped.GroupClass
% COMPASSDIRECTION With a CompassDirection interface, a module publishes a SpatialSeries object representing a floating point value for theta. The SpatialSeries::reference_frame field should indicate what direction corresponds to 0 and w... |
63d09a6c01bbe3ecfb2ce07be1ada085540ac97d60a1fe42a2ef7741bdcf8494 | MATLAB | 1,967 | 69 | % Function File: [binMeanX binMeanY binSize] = binxy (x, y, n)
% [binMeanX binMeanY binSize] = binxy (x, y, binEdges)
% [binMeanX binMeanY binSize binStd] = binxy (...)
%
% Divides the vector of x-values into n number of equal bins. The
% function then takes the co... |
d07e2f305536ca0c0f0a5d19669493177d4a7b1bd52ef53bd25b7f6bde1aab76 | MATLAB | 1,967 | 52 | %Find all effects for a given repeated-measures ANOVA design.
%
%EXAMPLE USAGE
% >> [effects, effects_labels] = get_effects({'Frequency', 'Priming'})
%
%REQUIRED INPUTS
% factor_names - A cell array of strings of the names of all factors in
% the design
%
%OUTPUTS
% effects - An arra... |
613de8520590d9a1a2f85fdaa48083c4db33b140561bc809e5edf1173197fbae | MATLAB | 1,968 | 80 | function status = om_check_vol(vol)
% OM_CHECK_VOL Check meshes of volume conductor for BEM modeling
% [STATUS] = OM_CHECK_VOL(VOL)
%
% returns 1 if there is a problem with geometry
% else returns 0
%
% Copyright (C) 2010, Alexandre Gramfort, INRIA
% $Id: om_check_vol.m 8776 2013-11-14 09:04:48Z roboos $... |
8890cb7d37f2c7f2f9ed20934e31c8c9ac2ce6d38137c1c51d4d67aedac278b6 | MATLAB | 1,969 | 89 | function [ynn_t,nn_stat,nn_dyn,Xi,Ai] = TrainNLSprlNLD(Imat_t,dsr_t,nh,no,tn)
maxiter = 10;
check1 = Inf;
u_s = Imat_t;
u_d = Imat_t;
dsr_t_s = dsr_t;
net_s = newff(Imat_t,dsr_t,nh,{'logsig','purelin'},'trainlm');
net_s.trainParam.max_fail = 1000;
% Initializing the Termination Criteria
term_crit = I... |
88b24058bb67c6ad48a67d3604052194960c1e3c8156ba0da41a0c9fb323c433 | MATLAB | 1,969 | 70 | % mglPoints2c.m
%
% $Id$
% usage: results = mglPoints2c(x, y, size, r, g, b, a, isRound, antialiasing)
% by: Benjamin Heasly
% date: 03/17/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson, Dan Birman (GPL see mgl/COPYING)
% purpose: mex function to plot 2D points on the screen open... |
4767052b5590c80605114069745de80bb3e71470bff3c26d124e431eafff2e2e | MATLAB | 1,970 | 54 | %{
Copyright (C) Cambridge Electronic Design Limited 2014
Author: James Thompson
Web: www.ced.co.uk email: james@ced.co.uk, softhelp@ced.co.uk
This file is part of CEDS64ML, a MATLAB interface to the SON64 library.
CEDS64ML is free software: you can redistribute it and/or modify
it under the t... |
382d671806d5a3479962636169085556c9a4362813e78095b69d34122c96a541 | MATLAB | 1,971 | 74 | % mglPoints3.m
%
% $Id$
% usage: results = mglPoints3(x, y, z, size, color, isRound, antialiasing)
% by: Benjamin Heasly
% date: 04/17/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: plot 3D points on a screen opened with mglOpen
% usage: resu... |
a7653b4b2062552e962a35f7e1f694895ee7f1b948b63fa353a8650c6c449ea8 | MATLAB | 1,971 | 54 | clear;
close all;
initime = clock;
addpath('funcs');
% get the change of APC in parameter space
Delta_e_start = 0; % cannot equal to 0
Delta_e_end = 0.5; % can equal to 0.5
Delta_i_start = 0.035; % cannot equal to 0
Delta_i_end = 0.035; % can equal to 0.5
Delta_steps = 101;
Iattn = 0.02;
time = 5000;
strt_prd = 30000... |
3e7b04d4b2a2045844c44131427af900c0037acfb04c4e596b3d98f844458d54 | MATLAB | 1,972 | 57 | %
% Please cite this paper if you use any component of this software:
% S. Soltanian-Zadeh, K. Sahingur, S. Blau, Y. Gong, and S. Farsiu, "Fast
% and robust active neuron segmentation in two-photon calcium imaging using
% spatio-temporal deep learning," Submitted to PNAS.
%
% Released under a GPL v2 license.
functio... |
fb324fc9e18203840d840e8589e50d78a6885d1971a2e844455562148452551a | MATLAB | 1,972 | 63 | function [H0] = contrasts_wald(fitmodel,emm,L)
% Hypothesis testing using Wald t/Z-tests on specified joint coefficients
% (i.e. on input contrasts)
% Copyright 2019, J. Hartman, Cornell University
% % written using Matlab version R2016a
%
% INPUTS:
% fitmodel is a GeneralizedLinearMixedModel object
% emm is ... |
6cc452191e3aa72d1735e93f62c30db245f1ec7445b1ab631b2591a16743b89a | MATLAB | 1,973 | 60 | function varargout = subsref(this,subs)
% Subscript referencing for GIfTI objects
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
% Guillaume Flandin
% $Id: subsref.m 8776 2013-11-14 09:04:48Z roboos $
if length(this) > 1 && ~strc... |
7b783f1331aef43a93ffb0878a6b8fa7acd4e994b7e69ff018f38643ab874abf | MATLAB | 1,975 | 53 | function [intervalFast,kcenter_timepoint1,kcenter_timepoint2] = TimeIntervals(dicomfolder,sequencenameFast,workingDir,MP2RAGE_postcontrast1File,MP2RAGE_postcontrast2File)
%Calculate the interval between the dynamics in the fast DCE scan
cd(dicomfolder)
s = dir([dicomfolder,'/*.IMA']);
nDicoms = size(s,1);
iFast = 1;
di... |
a98c6de2db471a2f7b8547a8578d9f23d3b232a22f32c2c47a9dd431f13c3593 | MATLAB | 1,975 | 40 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [output] = ml_algo_bfo_percell_general_single(maps, contextIds, rotationsDeg, MIN_DIFFERENCE_FOR_MAX_CORRELATION)
% Force to use two contexts because some cells (almost none) only have data for one.
uniqueContextIds ... |
23899e58d1f1ebeb74930b85dbfac6e8e53ce8ba0c04c6a8e21af3b928d70dc0 | MATLAB | 1,976 | 65 | function [varargout] = funname(varargin)
% READ_CTF_SHM reads metainformation or selected blocks of data from
% shared memory. This function can be used for real-time processing of
% data while it is being acquired.
%
% Use as
% [msgType msgId sampleNumber numSamples numChannels] = read_ctf_shm;
% or
% [data] = re... |
47f6875bd217e78f273e6be8e2b164dfa521ec1fb45a715e2320aaf707fe3f57 | MATLAB | 1,976 | 63 | classdef CellRegistration
%UNTITLED2 Summary of this class goes here
% Detailed explanation goes here
properties
CellRegisteredStruct
end
methods
function obj = CellRegistration(cellRegisteredStruct)
obj.CellRegisteredStruct = cellRegisteredStruct;
end... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.