sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
1f92a5aeddee1a6d7a2147aac0f365002838884b997dc1b35d8948ecfc98ff70 | MATLAB | 1,602 | 49 | function run_analysis_step1(data_folder,analysis_folder,animal_folder_listing)
af_name = animal_folder_listing(ii).name;
af_path = fullfile(data_folder,af_name);
fprintf('Animal: %s\n',af_path);
% CREATES AN ANIMAL FOLDER IN THE ANALYSIS DIRECTORY (analysis_af)
analysis_af_name = fullfile(analysis_folder,af_name);
if... |
79dbef876b96eb972f5ccbed521eead60e5c2a55ef5437eee174fd0e6980b1ad | MATLAB | 1,605 | 57 |
%% Add path
addpath(genpath('../Ionnic Channel'),genpath('../Tools'), genpath('../Synapses'), genpath('../Datas'));
%% Import data from neuron (FS)
dt = 0.01;
Vmem = -90:dt:60;
l_V = length(Vmem);
%% Anonymous function
qinf_simp = @(v) ((0.000297*v +0.5059)*tanh(3.74... |
be0da42902752aa648ea84fd6b59dc75447ee49d2fafa94e7d33cfbd2b05f0f0 | MATLAB | 1,607 | 65 | function [cs,reps] = plot_fibers(fc,c,lw,ind,reps)
if ~exist('ind','var')
ind = [];
end
if ~exist('lw','var')
lw = .1;
end
% reps is a repitition of each index - allows you to colour fibers
% according to their density for example in group analyses
if exist('reps','var')
limits = reps./max(reps);
end
if... |
0cc9c2d1781230291fa0b744e6a02104ae303053e276f620911093889ab90892 | MATLAB | 1,608 | 47 | % function [sigma,shrinkage] = covshrink_oas(data)
%
% Function to calculate Oracle approximating shrinkage (OAS) according to
% Chen et al (2012). See
% http://tbayes.eecs.umich.edu/_media/yilun/covestimation/chen_icassp1_09.pdf
%
% Shrinkage target is the identity matrix.
%
% INPUT:
% data (n_samples x p... |
fd2bcea711383fd55678f11354bcdbb3189568c542eff1d7cf65b76e907ff8f2 | MATLAB | 1,608 | 63 | function [NormFactor,D,V,VScore,Vlatent,VVarExp,VPC,VPC_Stm] = doDiffPCA(X,Stm,normalization,demean,useAllMd)
% X: input
% nStm x T x nClu;
% Stm: stimulus matrix
% normalization: 1 = normalize to s.d.; 0 = none;
% VPC:
% nClu/nPC x (T*nStm)
% VPC_Stm:
% nClu/nPC x T x nStm
verbose = 0;
... |
92da2724674f841003c05d3871ddf2678c8fb84693907f7e6cd5cad424f42e48 | MATLAB | 1,609 | 59 | function [xf] = generate_decay_rotating_wave( image_size, dt, T, ...
frequency, lambda, sigma, varargin )
% *WAVE*
%
% GENERATE DECAY TARGET WAVE TEST DATA generates a simple test dataset for
% use with the functions in WAVE
%
% ... |
00e65b3357405225e1f985cd46ad27672c466e5dbecb27274492da6379bb24af | MATLAB | 1,610 | 52 | load('\\storage1.ris.wustl.edu\kerschensteinerd\Active\Emily\Noise\Analysis\DataStimulus\Ai148_AAV-Grm6Cre_121418_1_11.mat');
OUT = DG_OUT;
Grid = OUT.Grids;
%%
% 60 (main) 870 880 882
pageid = 882;
figure; imagesc(squeeze(Grid(:, :, pageid))'); colorbar
colormap(gray);
axis off
box off
%%
SaveFolder = '\... |
a07ffd36bfe8bfc4f80ba18482f1cbf2a242ff9f5e75b76332e832bb35de4b17 | MATLAB | 1,610 | 56 | function varargout = pickle2mat(varargin)
% This function will convert a serialised python object (a pickle) into
% a MATLAB .mat file. It calls python commands from MATLAB, to first
% load the pickle, then resave it using scipy's savemat. If the .mat file
% already exists, this function will only reconvert and overwr... |
db2752a05b704d06862dc6774a6913ab07afd46fdc37d09d97d2ea6ed33c011d | MATLAB | 1,610 | 41 | function [t,x,ie] = simDP(K,params,x_0,T,dt,shift,sigma_noise)
%SIMDP K, params, x_0, T, dt, shift, sigma_noise
% Simulates coupled populations of N Destexhe-Paré neuron models.
% K coupling matrix (N x N non-negative matrix)
% params model parameters (structure)
% x_0 initial condit... |
029ec1d5a2fc81b527d34e91b4cd331d4c6671ee07936c8ce2a6c913a7bcb2ff | MATLAB | 1,613 | 57 |
%% Add path
addpath(genpath('../Ionnic Channel'),genpath('../Tools'), genpath('../Synapses'), genpath('../Datas'));
%% Import data from neuron (FS)
dt = 0.01;
Vmem = -90:dt:60;
l_V = length(Vmem);
%% Anonymous function
rinf_simp = @(v) ((-0.000396*v - 0.5129)*tanh(1.... |
d5045da6c4752284429a3e89a0f3f77897a7f49ecbd89de541614c115b2860a5 | MATLAB | 1,613 | 74 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%
% Frequency calculator
%
% Authors : KHOYRATEE Farad
% Date : 11/10/2017
% Update by : KHOYRATEE Farad
% Update : 24/04/2017
%
% Version : V1.1
%
% Descritption: Mesure the spike frequency. Every spike
% must have t... |
57ed7e376b7bdbfa4267739c4ca8ae211551ce51603b12d41b4b5d2fc80c51f7 | MATLAB | 1,614 | 68 | function [filt] = normfilt(n, fwhm, d)
% Gaussian (Normal) filter of specified width, FWHM, and dimension.
%
% Usage:
%
% [FILT] = NORMFILT(N, FWHM, D)
%
% Returns a Gaussian filter FILT with N samples and a Full-Width
% Half Max of FWHM samples. D is the number of dimensions of the
% filter; either 1, 2, or 3 dimens... |
aef929f7622faaa2d0eb29ff65acaf5be4f005b049e73d07c325848499124c97 | MATLAB | 1,616 | 51 | function toggleLinesAxesSDG_ButtonDownFcn(hObject, ~, handles)
% This function is called when the user clicks directly on one of the measurement
% lines in the SDG axes
global maingui;
SD = maingui.dataTree.currElem.GetSDG('2D');
ch = maingui.dataTree.currElem.GetMeasList();
iWl_gui = GetWl(handles);
mouseeven... |
18b75ea2edfae331672316616f37d009e4cbfad3aecaf094f6495ee73e214e8f | MATLAB | 1,617 | 37 | % function [ranks,ind] = eget(cfg,external,i_step)
% Feature selection subfunction using external ranking scheme. For example,
% features can be weighted based on an independent localizer run and the
% according t-values. As another example, an F-test can be applied to each
% training set independently, in that w... |
57f5e9e52cba9a9343a888f6a3790c231bf900669539589776a99df1961b6dd7 | MATLAB | 1,617 | 57 | % ConvertBasler2Whl - Convert Basler data to whl file format
%
% USAGE
%
% ConvertBasler2Whl(videoFile,digitalSig,<options>)
%
% videoFile path to Basler video file
% digitalSig path to dat file containing the syn TTLs
% <options> optional list of property-value pairs (see table below)
%
% ... |
631eb39d38af4c6f8d765b27ebf0b406a78752e25ba28320a43873fdbd54ca9f | MATLAB | 1,618 | 60 | function [varargout] = stack_mean_im(varargin)
num_planes = 1;
if ~isempty(varargin)
num_planes = varargin{1};
end
% Load stack and split
d = uigetdir('Select stack directory');
f = dir([d filesep '*.tif']);
f = {f(:).name};
stack = ImReader(d);
stack = split_stack(stack,num_planes);
%% Registratio... |
88b5cfccb1f2ae49d959421cba513b6d195f648e4877853f37ac47059a4e5494 | MATLAB | 1,619 | 43 | %This script stitches images aquired at different z depths 2gezer
%OCT Data
OCTVolumesFolder = [s3SubjectPath('01') 'OCTVolumes/'];
dispersionQuadraticTerm = []; %Use default that is specified in ini probe file
focusSigma = 20; %When stitching along Z axis (multiple focus points), what is the size of each focus... |
a977fe56bc157d16d1d1b4ee13b6f36990d068958e3da75d7b3507eedd23f5f5 | MATLAB | 1,619 | 53 | function display_displacement_grid(displacement,figNo,title,varargin)
% DISPLAY_DISPLACEMENT_GRID Displays the deformed grid
%
% display_displacement_grid(displacement,figNo,title)
%
% INPUT ARGUMENTS
% displacement - Displacement field to display
% figNo - Figure number to use
% title - Figure title
%... |
e3a0ed9c351150fae8fa66670008db0058442a05d258773f72a22f899fa6e382 | MATLAB | 1,622 | 75 | function [pf,x1,x2] = PlaceFieldsCont(S,X,Y,epoch,varargin);
% Place-Field for continuous values
% USAGE
% [pf,xb,xb] = PlaceFieldCont(S,X,Y,epoch,...);
%
% Input:
% S: a tsd
% X,Y: tsd od spatial position
% epoch: intervalset on which place field is computed
%
% by default, the number of bins in the 2 d... |
fd31693f7cc0e7da03f8f253940199973568afab8c752693dd28f8e8bc74c0ce | MATLAB | 1,622 | 60 | function [nn_corr,nn_sig] = NnCorrFunction(data1, data2,...
raster_params, bin_sz, varargin)
DIRECTIONS = 0:45:315;
PROBABILIES = [25,75];
OUTCOMES = [0,1];
p = inputParser;
defaultShiftControl = false;
defaultSeperateByPrev = false;
addOptional(p,'shiftControl',defaultShiftControl,@islogical);
addOptional(p,'sep... |
15f4de6461ab7971ae81793539d1b09e2df831a7fa99a51f83a2bfcc8022308d | MATLAB | 1,623 | 40 | function [p_sil_vs_ee, p_ava_vs_ee, ave_p_silence, ave_p_ava, h_vals] = computeProbSilenceAvalanche(eta_list_ultra, eps_list_ultra, N_Neur, num_draws)
% Calculates the probability of silence for values of eta and epsilon in
% provided list, for N_Neur neurons and num_draws draws of J_i coupling
% values. Uses that to c... |
218221370faf508fc867772449f66b8f116bf0a1883c3f120837a19e47cdf1a0 | MATLAB | 1,623 | 67 | function epochs = find_amplitude_epochs( amp, threshold )
% *WAVE*
%
% FIND AMPLITUDE EPOCHS locate epochs in a logical datacube, as with
% find_epochs()
%
% INPUT
% amp - input datacube (r,c,t)
% threshold - thresholding value, to produce a logical array (sc)
%
% OUTPUT
% epochs - st... |
9cd4fda965f4f4432fd5905a436fdbf2e862ee31f67c7b6ce8c6fd83140df7a7 | MATLAB | 1,623 | 62 | function MakeSpikeData_FromKlusters(varargin)
% MakeSpikeData_FromKlusters(filebasname)
% construct a tsdArray of spike timing from the Neurosuite feils and save it in Analysis/SpikeData.mat
%
% INPUTS:
% filebasename (optional): file base name (folder name is default)
% Adrien Pey... |
ab8014bb91b7fa94b863992c4db0aafd30f6c8112c67add4044f13e43019d753 | MATLAB | 1,623 | 59 | % RDK-vMMM: behavioral analysis
% _
% This script reproduces the analysis pipeline from Töpfer et al.
% (in review at JoV) and creates figures presented in the paper.
%
% written by Felix Töpfer <felix.toepfer@bccn-berlin.de>, ca. 2020
% finalized by Joram Soch <joram.soch@bccn-berlin.de>, 08/07/2022, 16:01
clear
clo... |
f571951647742afaf674bc60d698bc9b25a76d23a44ee68bca338a939f4fc530 | MATLAB | 1,623 | 47 | %% Plot V4 MI Firing Rate sensitivity and bias split at cued and cue-opposite locations for superficial and deep layers (moving window plots locked to cue onset/offset)
%% Code
loc = ["cued","opp"];
loc_flag = 1;%input('neural data at cued location or cue-opposite location: 1-cued, 2-opp: '); % loc_flag = 1 for Fig 4... |
28ef51669d8090c19687753290e57d9b12241231991357ed8121bec9367bf98b | MATLAB | 1,624 | 62 | function MakeSpikeData_FromKlusters(varargin)
% MakeSpikeData_FromKlusters(filebasname)
% construct a tsdArray of spike timing from the Neurosuite feils and save it in Analysis/SpikeData.mat
%
% INPUTS:
% filebasename (optional): file base name (folder name is default)
% Adrien Pey... |
c2824dae2298d118b85a7cbef344d976648b4451c583bc067abe5a7b1af902f5 | MATLAB | 1,624 | 44 | function [CI,sig_from_0] = compute_CI(data,nb_bootstrap,alpha_sig,consecutive_points)
%INPUTS: data, data matrix dim trials x time
% num_bouts, number of bootstrap
% sig_alpha, significance threshold for CI
% min_duration, consecutive bins required to register as significantly different to zero
[... |
42759b847111220219de2a3759422786f7bca70d8c0cbf786295ff49255710e2 | MATLAB | 1,625 | 48 | function map = bv_readstathdr(fid)
% map = bv_readstathdr(fid)
%
% :description
%
% A utility function that reads the stat map header,
% common to vmp (version 2) and smp files. Used by bv_readsmp and bv_readvmp.
%
% :inputs
%
% fid file id of file already opened for reading
%
% :outputs
%
% map map... |
4b636cd3a168cc9f89e82086be8dcbcdf2b6d572c33f81f2df56d0a1030cbcba | MATLAB | 1,625 | 46 | % Wm = vsh_modified_out_fast(theta,phi,l,m,p0)
%
% Vector spherical harmonic funtion modified from Hill's function
% W_lm for quantum numbers l and m. Angles theta and phi should be
% given in radians. p0 contains the values of the Legendre polynomial.
%
function Wm = vsh_modified_out_fast(theta,phi,l,m,p0)
% Copyrigh... |
6dc84d5e2169c5a50552097a789e0abb33b054166b87e8d846bc6d9ac0ac59f6 | MATLAB | 1,625 | 58 | %---------------------------------------------------
% F-value calculation
function F = fvalue(varargin)
% This function runs several one factor ANOVAs in parallel.
% It is a great lot faster than the function provided by Matlab
% and may save considerable time depending on the number of necessary
% F-value cal... |
8754ba18011719a3bc252d1465832a752a935be4732f2f7062fa985ad302ac53 | MATLAB | 1,625 | 65 | function [returnVar,msg] = Process_ChangeDatChannelOrder(fname,nbChan,ch_old,ch_new)
% USAGE:
% Process_ChangeDatChannelOrder(fname,nbChan,ch_old,ch_new)
% This function changes the order of a dat file
% INPUTS:
% fname: dat file name
% nbChan: number of channels
% ch_old: original channel order (s... |
8a072ff3696cc74031d4fd90f5fb1223f7b2ef04d8e80aa6c3af76852a3d65c3 | MATLAB | 1,626 | 49 | function [net_test, lim, Weights, Biases] = fun_Initializeweight(net, ver, stdfac) # adopted from Baek et al., 2021
net_test = net;
net_tmp = net_test.saveobj;
rand_layers_ind = [2, 6, 10, 12, 14, 17, 20, 23];
Weights = cell(1,length(rand_layers_ind));
Biases = cell(1,length(rand_layers_ind));
for ind_tl = 1:length(ra... |
8d21b4d613ce8bfd30cf4babd2b22ca98bb0faf892f9fd505cf9810d7ee67bb9 | MATLAB | 1,627 | 50 | function [AvTraj] = Av_Traj(Traj)
% Create an average trajectory for the different types of trajectories
% and calculate the standard deviation
% (from interpol200)
%Traj = Data.selectRtR_interpol200;
numTraj = size(Traj,1);
if numTraj == 0
AvTraj = [];
else
for i = 1:numTraj
AllX(... |
daa7f73ba530d0a203ded83a5ae849de93c6935f4c2aebd064cfbbfe69abdc87 | MATLAB | 1,627 | 65 | function [names isgroup] = find_group_single(subj,objtype,name,varargin)
% Lets you know whether you have an objname or groupname
%
% [NAMES ISGROUP] = FIND_GROUP_SINGLE(SUBJ,OBJTYPE,NAME,...)
%
% REPMAT_TIMES (optional, default = 1). By default, this
% will return just a single cell containing the name of the object
... |
dbfd80a0d597f2d5baf1ad9cf64038a3a825a18fb47ab8469abdab4327154479 | MATLAB | 1,627 | 55 | % DFTFILT digital filtering using FFT
%
% call [ Y FR ] = DFTFILT( X, FS, FLP, FHP, BAND )
%
% gets X matrix, signals in columns
% Fs sampling frequency
% FLP lowpass cutoff
% FHP highpass cutoff
% ... |
a9110957aa5a19dcfe6b2cfff8fb0594242906409d4f3999b1b5668e85f0f14c | MATLAB | 1,630 | 42 | function result = conv3(signal, kernel, region_of_interest)
% CONV3
%
% Perform convolution (actually correlation, see note 3 below) in up to
% 4 dimensions. The signal may be complex but the kernel must be real.
%
% Call:
% result = conv3(signal, kernel)
% or
% result = conv3(signal, kernel, region_of_interest)
%
%... |
af8d7bcaf73ff766132e572d817e48bfcd36920f354d337ba3137a4a91dee5a1 | MATLAB | 1,632 | 45 | function [tt, thABc, pp, thABj] = ME_vMMM_trl(y, r_est, k_est)
% _
% Trial-Wise Analysis for a von Mises Mixture Model
% FORMAT [tt, thABc, pp, thABj] = ME_vMMM_trl(y, r_est, k_est)
%
% y - an N x 1 vector of response deviations
% r_est - a 1 x K vector of estimated frequencies
% k_est - a 1 x K vect... |
3857f73cedd060a5b5d93fed7b83e97c6a5ee8b401ce8ef56ed9501bf7bd035a | MATLAB | 1,633 | 51 | function [h, hdata] = mlphess(net, x, t, hdata)
%MLPHESS Evaluate the Hessian matrix for a multi-layer perceptron network.
%
% Description
% H = MLPHESS(NET, X, T) takes an MLP network data structure NET, a
% matrix X of input values, and a matrix T of target values and returns
% the full Hessian matrix H corresponding... |
5da281829b340af86bcc787763ccbc6d0689e600b3167477690df7407be00851 | MATLAB | 1,633 | 68 | function [h,B,mu,h0] = HeadDirectionField(tsa,ang,GoodRanges,varargin)
% USAGE
% [h,d,mu,p,kappa] = HeadDirectionField(tsa,ang,GoodRanges)
%
% Inputs:
% tsa: a ts object (typically a cell!)
% ang: a tsd object of head orientation
% GoodRanges: an intervalSet object defining the time of valid p... |
87b6e1b53b6af5ca079af3e58b9171046ea42a051e871495d5507850857bab9d | MATLAB | 1,633 | 52 | function [] = write_out_censor_from_sel(subj, selname, varargin)
% [] = WRITE_OUT_CENSOR_FROM_SEL(SUBJ, SELNAME, ...)
%
% Takes in a selector object/group, and writes each out to a
% .1d censor file. Only SEL==1 counts as 1 in the censor
% file, i.e. this is designed for writing out training
% selectors.
%
% CENSOR_1D... |
29864a52a18a5f7720c8c70d4ba98f3c718862bd5814a557d435ef93d5857f51 | MATLAB | 1,638 | 69 | function py = madc_pcont_table(d, c, mt)
%% generate contingency table response probabilities given d and c vector
%
% Sridhar Devarajan, Sep 2016
% sridhar@cns.iisc.ernet.in
%
% d and c should be mx1 each
% mt is model type: 'u' for unequal sensitivities and 'e' for equal sensitivities
if length(d) ~= length(c)
... |
4bb901118c3978aeb956321211e8fdff54db41cefbb107b27384590d5845f2a1 | MATLAB | 1,638 | 59 | function gfcd_hemi(subj, varargin)
hcp1=cifti_read('HCP2016FreeSurferSubcortical_dparc.dlabel.nii');
ind=find(hcp1.cdata==0);
datt=cifti_read(filename='space-fsLR32k_sulc.dscalar.nii');
datt.cdata(ind)=0;
ind=find(datt.cdata~=0);
sss=64984;
dire='/abcd_collection3165/derivatives/abcd-hcp-pipeline/';
cifti=cifti_read... |
5e94bdfa7d83f47bd1fd2880bc0c18457560e27a2b0e3f32eb6c8ee91f1f1c72 | MATLAB | 1,639 | 53 | clear,clc
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% This script is used to validate the specificity of CCA mode
%
% Jin
% 7/25/2022
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% set the file path
current_path = pwd;
working_path = current_path... |
7c644ddc89463488d828607f8ba06d7de5d6e0b46e2cd2008fe2db8d89b1072f | MATLAB | 1,641 | 50 | function [t] = getIOdata(file)
ss=load('D:\Morphys\Data\Electrophysiology\SetupSettings\Setupsettings_INF.mat');
ss=ss.obj;
load(file);
if exist('a', 'var')
sweep=a.getchannel.getin('signal', 'primary').getsweep;
elseif exist('a1', 'var')
sweep1 = a1.getchannel.getin('signal','p... |
622b36a1360eaaf35d9bd8e6bc6281cdd1862a46b5ca7426ee5463550e5a536c | MATLAB | 1,642 | 32 | function obj = setupSystemObjects(MinSize,MaxSize,bkgProb,vid)
% Initialize Video I/O
% Create objects for reading a video from a file, drawing the tracked
% objects in each frame, and playing the video.
% Create a video reader.
obj.reader = VideoReader(vid);
% Create t... |
4314e1f8c4246a364f29bc1914b0369c25a74257ec6744d994340f4db6517c3e | MATLAB | 1,644 | 33 | function [hF_freq_eye, hF_filters, hF_step, hF_sine] = plotPostLearning(...
I, K1, K2, K0, RR_data)
% Helper function to create a bunch of plots after running VOR model learning
% Get frequency response after learning
freqs = RR_data.freqs; % Use frequencies from Ramachandran & Lisberger 2005
% freqs = logspace(... |
6fae3dfd8c1b65104417df94a78dd06eea015d43cffac783414571868591748d | MATLAB | 1,644 | 50 | function output = deformation(input, displacementField, interpolation)
% DEFORMATION Deforms an image according to the given displacement field
%
% output = deformation(input, displacementField, interpolation)
%
% INPUT ARGUMENTS
% input - Data to deform
% displacementField - Displacement field
% in... |
368125709f63543c5e1e085728cbed57d99b10a594cf0c7093072ab6fe8d2d0d | MATLAB | 1,645 | 68 | function [h X Y] = hist3(Data, XBins, YBins, ZBins)
% out = hist2(Data, XBins, YBins)
%
% Makes a 3d histogram of the data.
% XBins and YBins are optional arguments
% which give the number of grid segments.
% - default is 50.
if length(XBins) == 1
MinX = min(Data(:,1));
MaxX = max(Data(:,1));
else
MinX = X... |
da522c742ed74c84dc5dc7ff60e191c6b47bc61a62dd46b13fa8823995f4ba45 | MATLAB | 1,646 | 70 | function [h,B,mu,p,kappa,h0] = HeadDirectionField(spk,ang,GoodRanges,varargin)
% USAGE
% [h,d,mu,p,kappa] = HeadDirectionField(tsa,ang,GoodRanges)
%
% Inputs:
% tsa: a ts object (typically a cell!)
% ang: a tsd object of head orientation
% GoodRanges: an intervalSet object defining the time of... |
0d3d224478a4435794ec973ed12478a6f0b6edd139ed0e97de6ca50dee788ebb | MATLAB | 1,648 | 54 | function midRip = findRipplesMid(eeg,epoch)
% findRipplesMid finds ripples peaks in hippocampal signals.
% USAGE:
% midRip = findRipplesMid(eeg,epoch)
% input:
% eeg: tsd of unfiltered eeg signal
% epoch: intervalset on which ripples have to be searched (typically: SWS epochs).
% output:
% midRip: a tsd of r... |
8207eb39d2b3c8ba5beb03286548b5e8debcb3bf91d082a471dd3d187ef01952 | MATLAB | 1,648 | 71 | % Mat = Accumulate(Index, Value, Size);
%
% This function does something MATLAB really should have built in.
%
% it performs a matrix accumulation. i.e. for each Index, it adds
% the corresponding Value to that element of a matrix.
%
% this is using sparse and converting back to a full matrix.
%
% inputs: Index: n by ... |
e5c9c4c3a51dc5e3c02aa38a65e065b6409051ce80dd97ffe5b81ab5d524bc27 | MATLAB | 1,648 | 78 | function [u,v] = fftalign(A,B,plotting)
% based on work of Dario Ringach
% https://scanbox.org/2014/03/20/recursive-image-alignment-and-statistics/
% N = min(size(A));
% size(A)
% yidx = round(size(A,1)/2)-N/2 + 1 : round(size(A,1)/2)+ N/2;
% xidx = round(size(A,2)/2)-N/2 + 1 : round(size(A,2)/2)+ N/2;
% % [yidx(1)... |
b24940209e2035fa74486b56a926e18c4d3fabe1c1905c9b8a347db4bfd9605d | MATLAB | 1,649 | 54 | %WheelSplit
%For very large files that need to be split down
clear all;
close all;
handle = uigetfile('*.csv','Select data'); %identify data file
wheelTable = readtable(handle); %load data into table
%wheel parameters
numWheels = 6;
%create matrix with all wheel data minus headers for processing
%thi... |
28e15cfc0a7a26b527d4d3b07c67cd3ecf3bbb3c6277389e043cb9e5731a8f69 | MATLAB | 1,650 | 49 | function InitGuiControls(handles)
global maingui
maingui.buttonVals = struct(...
'RAW',1, ...
'RAW_HRF',2, ...
'OD',4, ...
'OD_HRF',8, ...
'CONC',16, ...
'CONC_HRF',32 ...
);
maingui.axesSDG = InitAxesSDG(handles);
maingui.axesData = InitAxesData(handles, maingui.axesSDG);
maingui.sclConc ... |
f6c51e785ddfa48ffe8e610bd1980056b323478823a1a258bb0f63b53c21012a | MATLAB | 1,650 | 59 | function output = wildcard2regexp(input)
% This replaces a wildcard search by a regular expression. This is little
% smarter than regexptranslate for normal users and also works for Matlab
% versions without regexptranslate.
%
% Example: The search 'myfilename*.img' will lead to '^myfilename.*\.img$';
%
% by M... |
0aead95ddcc72d2c1157ebdae095aa2f093220a14bcaac02303ed7f14e489859 | MATLAB | 1,651 | 57 | function In = ClusterPoints(Data, IfPlot)
%function In = ClusterPoints(Data, IfPlot)
% Data is two column matrix of coordinates, IfPlot =1 if you want Data to
% be ploted by this function (0, if they are plotter already in current
% axes).
% starts clustering manual interface like in klusters
% - left click - new line... |
467c15701463b3917464f65c11550bee307b3c08b2d86079713126c173cf64a6 | MATLAB | 1,652 | 51 | function n2 = mdndist2(mixparams, t)
%MDNDIST2 Calculates squared distance between centres of Gaussian kernels and data
%
% Description
% N2 = MDNDIST2(MIXPARAMS, T) takes takes the centres of the Gaussian
% contained in MIXPARAMS and the target data matrix, T, and computes
% the squared Euclidean distance between th... |
214b2b3a27216351ba2c53188a6a7b7e8f4137eca8ecffb1f69847e89a38bc92 | MATLAB | 1,654 | 61 | function [res, fmt] = detMag(actigraphy, epoch, varargin)
%DETMAG do magnitude analysis and fit results
%
% [RES, FMT] = DETMAG(ACTIGRAPHY, EPOCH, REGION, FILENAME, STARTTIME, FILEPATH, QUALITY)
% performs magnitude analysis on ACTIGRAPHY of epoch
% length EPOCH second and fits the results in reg... |
f3f4689c00c41e1999e8d9e5950982945b177e1296bad8e02ebaa0cda45282b6 | MATLAB | 1,655 | 52 | % unit test of mv_stat_wilcoxon_signrank
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]
%% [X is a vector] check whether yields the same p-value as matlab's signrank
X = randn(100,1)*10 + 2;
p1 = signrank(X, 0, 'method','approximate')... |
f9aedc0fdd197e0c913050c1ae3571c2a375b605a10e5a1a57e6b168026c7f05 | MATLAB | 1,655 | 64 | function MatNew = transSegGap(MatOld, Length)
%TRANSSEGGAP Transform a matrix of segment/gap to a matrix of gap/segment
%
% Length specifies the total points of the corresponding signal
%
% $Author: Peng Li, Ph.D.
% MBP, Div Sleep Med, BWH &HMS
% $Date: May 4, 2016
% $Modif.: Feb 28, 2017
% ... |
66fe015ff8985c9573561b592407260a521001709b0c02ccc86abcd35d6d4f1a | MATLAB | 1,656 | 50 | function [ia ib vol] = get_relative_index(subj, patname, maskname)
% Returns an index into a mask of the voxels in a pattern xxx
%
% [IDX] = GET_RELATIVE_INDEX(SUBJ, PATNAME, MASKNAME)
%
% Returns an index of the items in the pattern PATNAME as masked by
% the mask MASKNAME. This is necessary to apply any mask, store... |
88b2ea0ab4ea833ff42725e694f019ed5bf831219400fcfdce058a4b278a76fe | MATLAB | 1,656 | 41 | clear batch
job1{1}.spm.meeg.source.headmodel.D = {fullfile(D)};
job1{1}.spm.meeg.source.headmodel.val = 1;
job1{1}.spm.meeg.source.headmodel.comment = '';
job1{1}.spm.meeg.source.headmodel.meshing.meshres = 2;
job1{1}.spm.meeg.source.headmodel.coregistration.coregspecify.fiducial(1).fidname ... |
beb6fe9c62cef8757ae9d10bc75940cd4a11fcb6f08516f163eedfa08454549d | MATLAB | 1,656 | 60 |
%% Add path
addpath(genpath('../../Ionnic Channel'),genpath('../../Tools'), genpath('../../Synapses'), genpath('../../Datas'));
%% Import data from neuron (FS)
dt = 0.01;
Vmem = -90:dt:60;
l_V = length(Vmem);
%% Anonymous function
hinf_simp = @(v) -0.4991*tanh(4.146+... |
0fbb8a9e0924c19305388637d367cf9e7a26ebfe6588216d25c5f9bfb4778867 | MATLAB | 1,657 | 44 | function DistributionSingleCell(histExportFolder, histDataFilename, relMat, diffIm, magMat, angMat, dataBinWidth, relThresh)
%% Calculate Histogram Data
% Set mainFlowMask
mainFlowMask = ...
double(relMat > 0).* ... % Where the relMat is > 0
double(diffIm > 0).* ... % Where the diffIm is > 0
double(mag... |
298a23dd81dc8f5c480577d39540cd26d5766cb058babb107188b7055ec45d5d | MATLAB | 1,657 | 49 | function isUseSection = pickNRandomSections(st,cap,additionalFilter)
% This section takes st data structure and picks sections at random.
% Will try to get as much diversity as possible.
% INPUTS:
% st - st data structure
% cap - how many files to get
% additionalFilter - vector to filter. Sections will be ... |
f166140bdafc715a240247297a49d7599af44a61f4b581b73c990f4d796765e9 | MATLAB | 1,659 | 55 | function perf = cross_entropy(e, x, pp)
% Cross-entropy error measure
%
% [D] = CROSS_ENTROPY(CODE, E, X, PERF, PP)
%
% Feed this in with class_args to train_bp to change from the
% default mean squared error
%
% See http://www.cse.unsw.edu.au/~billw/cs9444/crossentropy.html
% for more information on what it is.
%
% R... |
12156938081a2cac36b2bc79e4796e1743552dc13d1fbb37607cdf2574af012b | MATLAB | 1,660 | 43 | function plot_time_comp_nopad_210511(spon_areas_table_ff,stim_areas_table_ff,spon_areas_table_fb,stim_areas_table_fb,subregion)
[pre_ff,post_ff]=pre_post_time_comp_nopad_210511(spon_areas_table_ff,stim_areas_table_ff);
[pre_fb,post_fb]=pre_post_time_comp_nopad_210511(spon_areas_table_fb,stim_areas_table_fb);
p1=line([... |
d3418fd8a77f789663f3d2b7fa98cc0a80a8034a5c48a66e614ee4c22a135bd5 | MATLAB | 1,661 | 49 | function [R,EX,EY,EZ,CH_NAMES] = fiff_getpos_ctf(file,coord_system)
% Copyright (c) 2016, Elekta Oy
% ---------------------------------------
%
% Redistribution and use of the Software in source and binary forms, with or without
% modification, are permitted for non-commercial use.
%
% The Software is provided "as i... |
1a17c27a056cc63cd1f465e3c35828e5723a781c8a813642e7ca5b1404a1957e | MATLAB | 1,663 | 54 | clear,clc
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% This script is used to validate the specificity of CCA modes
%
% Jin
% 12/4/2023
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% set the file path
current_path = pwd;
working_path = current_pat... |
4df0282497679ed96da92dc973b4695aec859046629f23b21be631855348d131 | MATLAB | 1,663 | 55 | function [a, z, n2] = rbffwd(net, x)
%RBFFWD Forward propagation through RBF network with linear outputs.
%
% Description
% A = RBFFWD(NET, X) takes a network data structure NET and a matrix X
% of input vectors and forward propagates the inputs through the
% network to generate a matrix A of output vectors. Each row o... |
7f98e5106c84c510252669f3ff6eead2fa9fe353b0562621acf9aa1bc8b98ce2 | MATLAB | 1,663 | 64 | function [made_progress] = progress(cur,total,nWaypoints)
% Display a text-based progress counter
%
% [MADE_PROGRESS] = PROGRESS(CUR,TOTAL,[NWAYPOINTS])
%
% Displays a progress counter that spits out an 'x%' marker
% every 100/nWaypoints of the way through a big loop. By default
% then, it will print out every 10%.
%
... |
c0e6ca42f9cb82b939f6d5e5865e5941d4c2bd9d9a2f155da6d78becac9d5f2e | MATLAB | 1,663 | 59 |
ndip = 20;
snr = [0.6];% 0.5];
snr2 = 0.8;%[0.5 0.8];
amp = [0.4 0.5 0.6];%[0 0.2 0.3 0.4 0.5 0.6 0.7 0.8];
%phs = 2.*pi.*[0 1/17 2/17 4/17 8/17];
patchsigma = 0;
N = [50 150];%100;
state = rng(1,'twister');
%state = output.state;
%list = reshape(1:100,[10 10])';
list = reshape(1:100,[5 20])';
% for now, hav... |
7587e94d331f784b20bd48769b2a96024c74adbce0572c1a32c4d8a9653dd76c | MATLAB | 1,665 | 49 | function singlePlaneFit = spfCreateFromFiducialLines(f,pixelSize_um)
%This function computes a single plane fit using Fiducial Lines.
%INPUTS:
% f - Fiducial lines structure array
% pixelSize_um - optional, pixel size at the Flourecent Image - this will
% allow us to cmpute % shrinkage
%% Input checks... |
c0612f78339aa851efeeeb07ef612158fc9087633b32ba8d95c7520a886af3d0 | MATLAB | 1,666 | 84 | function info=parse_filename(f,user)
if strcmp(user,'Anna_01')
info = parse_anna_01_filenames(f);
end
if strcmp(user,'Anna_02')
info = parse_anna_02_filenames(f);
end
if strcmp(user,'Roman')
info = parse_roman_filenames(f);
end
if strcmp(user,'Lola_01'... |
a4f3f2cd4795c78d18e53dd36b03722d2728a6bb0eedaf2b16a4b1ee4bc761ae | MATLAB | 1,667 | 43 | % function output = transres_confusion_matrix(decoding_out, chancelevel, varargin)
%
% Get a matrix of how often each label has been confused by other labels.
% This function will calculate the per-class accuracy, i.e. balanced for
% the number of occurrences of each label. The output will be percentage
% of appearan... |
271a1ef968e3b6526da885a41032cc2447aeca048c10ac5d55b883365e072cb3 | MATLAB | 1,669 | 64 | function meanWaveF = Make_MeanWaveF(fbasename,varargin)
% meanWaveF = Make_MeanWaveF(fbasename,option)
% Computes average waveform from spk files
%
% options:
% 'spk' (default) | 'dat': reads spike from the spk file of from the dat file
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
0e438846a567ecb15857416418000710d21a9dc0727d48bb8e9ccad05f53ed6e | MATLAB | 1,670 | 39 | % Got to directory where behavioural data are
homeDir = '/export/home/vman/iowa/behav/'
datDir = [homeDir];
% Define list of subjects to process
subList = {'567','585'};
blockLabels = {{'044','046'},{'060','063'}};
for s=1:length(subList)
subID = subList{s};
% Get the number of blocks
blockList = {dir([dat... |
097c2afb3cd9b70a5b74511ebd9b703b2f8417d603e7c8e47dddaafd89e8d50e | MATLAB | 1,671 | 60 | function h = hesschek(net, x, t)
%HESSCHEK Use central differences to confirm correct evaluation of Hessian matrix.
%
% Description
%
% HESSCHEK(NET, X, T) takes a network data structure NET, together with
% input and target data matrices X and T, and compares the evaluation
% of the Hessian matrix using the function N... |
9ca7f296b42c5252a4fe5f808949d88b17191b32efb31e29c2d57c7a62aa0c13 | MATLAB | 1,672 | 55 | function net = som(nin, map_size)
%SOM Creates a Self-Organising Map.
%
% Description
% NET = SOM(NIN, MAP_SIZE) creates a SOM NET with input dimension (i.e.
% data dimension) NIN and map dimensions MAP_SIZE. Only two-
% dimensional maps are currently implemented.
%
% The fields in NET are
% type = 'som'
% nin = n... |
9bb54b1cb52b89111be0c03a2305aa52c95a082532f60ba80ae13d741f305b99 | MATLAB | 1,674 | 39 | function fw_modelcomp(dir,exp,models)
fprintf('\nModel comparison\n')
for i = 1:length(models)
load(fullfile(dir.dir_fits,strcat('fit-',models{i},'-',exp,'.mat')),'results')
fit(i) = results;
end
bms_results = mfit_bms(fit,0); %Laplace-informed priors
% bms_results = mfit_bms(fit,1); %BIC-informed priors
... |
957eda339f22bdd953ad4b116ef54d096bf56e91b4cf7fd71026af1db776b8ee | MATLAB | 1,676 | 44 | function y=fProcess2(targetdata,targetpath,savepath,calendar,resultShortsatSave)
realsavepath=savepath;
realtargetpath = targetpath;
realtargetdata = targetdata;
saveonoff=1; % Save processed dataset as .mat file
for cnt=1:length(realtargetdata)
data1 = realtargetdata(cnt).name;
cd([realsavepath '\' da... |
b97133e2f7c2d53321f6caae611aa2eb2e9146b240d9755555061027cf9d4f91 | MATLAB | 1,676 | 61 | function [acts scratchpad] = test_logreg(testpats,testtargs,scratchpad)
% Generates predictions using a trained logistic regression model
%
% [ACTS SCRATCHPAD] = TEST_RIDGE(TESTPATS,TESTTARGS,SCRATCHPAD)
%
% License:
%=====================================================================
%
% This is part of the Princet... |
e9c71ca99b5d87523c63635b5294ae2497259a0afb730017f2d94b5e6af6b1c0 | MATLAB | 1,678 | 52 | function [var, U, lambda] = ppca(x, ppca_dim)
%PPCA Probabilistic Principal Components Analysis
%
% Description
% [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal
% component subspace U of dimension PPCA_DIM using a centred covariance
% matrix X. The variable VAR contains the off-subspace variance (which
%... |
b78b8eb858b66f7615ee315b0538ccd3839d6a7c141940b32865233375f13a60 | MATLAB | 1,680 | 52 | function [net, options, varargout] = netopt(net, options, x, t, alg);
%NETOPT Optimize the weights in a network model.
%
% Description
%
% NETOPT is a helper function which facilitates the training of
% networks using the general purpose optimizers as well as sampling
% from the posterior distribution of parameters us... |
9d908e3b5a7e45e21d8f6678dd11b8e2f82b425a7bf530d87c7d9bdce92ac9dc | MATLAB | 1,681 | 74 | % this script plots example trials for Jacobs E1.
clear all;
close all;
%% which jobs to complete?
job=[];
job.concatGFX= 1;
job.plotPFX=1;
job.plotGFX=1;
%% set up some directories.
% homedir = 'C:\Users\mdav0285\OneDrive - The University of Sydney (Staff)\Desktop\tracking-CFS';
homedir='/Users/matthewda... |
0f537a1f057682109c768b1ff7e15c32bd627f292ccd070c67ec007d8e0f2e4f | MATLAB | 1,683 | 50 | % if trials var already filtered out trials by condition/locations, then
% just filter out movieIdx to same criteria.
% for fNIRS only
% For sbj 08 and 10
function [trials,varargout] = keepCorrectTrials_Single_Special(sbjNum,trials,behFN,numClasses,movieIdx)
load(behFN,'responsesV','responsesA','correctRespV','cor... |
4f972dd9888b707bab11f9a766f6ecb8a1b006e65fd2f18b623d19e52bc6015e | MATLAB | 1,684 | 58 | function [subj] = create_balanced_xvalid_selectors(subj,regsname,old_selname,varargin)
% [SUBJ] = CREATE_BALANCED_XVALID_SELECTORS(SUBJ,REGSNAME,OLD_SELNAME, ...)
%
% Run this after CREATE_XVALID_INDICES. This takes in the
% selector group OLD_SELNAME consisting of training and testing
% selectors, and balances the co... |
be741f6ddb42834e92eb56d6b6a0659e200f7d2e1e3c0c37aed61b8c9c2bc423 | MATLAB | 1,686 | 42 | function [t,x,ie] = simML(K,params,x_0,T,dt,shift,sigma_noise)
%SIMML K, params, x_0, T, dt, shift, sigma_noise
% Simulates coupled populations of N Morris-Lecar neurons.
% K coupling matrix (N x N non-negative matrix)
% params model parameters (structure)
% x_0 initial conditions (v... |
96ed7274336607272c3b6569b9334f63f043a3004148d23544a7ef091f0cf78f | MATLAB | 1,688 | 49 | function field = field_exponentiation(field)
% FIELD_EXPONENTIATION Performs a field exponentiation on the provided field.
%
% field = field_exponentiation(field)
%
% field - Field to exponentiate
%{
Copyright © 2011 by Université catholique de Louvain.
Permission is hereby granted, free of charge, to any pe... |
0bc1be88c49f46cf5d8af92bf1ad97b8b59bdf4be10482418d8e99283bbebc0c | MATLAB | 1,689 | 36 | %Organizes electrode contact labels by depth electrode.
%05/27/2021: check that this works for new Emory electrode nomenclature
%(i.e. "A'1" for example).
%2024/02/25
function clinLFP_contacts=extract_clinLFP_labels(labels_array)
%remove micro contacts if there are any:
labels_array(contains(labels_array,'Micr... |
3acf1e9edbce5c7c221190b339584d143e05fe2988ad37537d4e600790b5ffb5 | MATLAB | 1,690 | 43 | function corr_mtx_r = compute_temporal_closeness(train_model_fname, test_model_fname, test_data_fname)
%% -----------------------------------------------------------------
% This script is used for matching states from different BSDS models.
% A trained model was applied on the test data to compute posterior probabili... |
c412d08e2de94130df83267bbe1d636c2b779ec3837d1b1f663b65e4c6444ec0 | MATLAB | 1,691 | 53 | %{
Copyright (C) 2023 N. Suhas Jagannathan
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed i... |
3ae3f00f27d647cdda4290f270eaa504e64b7aa1e92a8865c26ac9f11d8e9488 | MATLAB | 1,692 | 54 | function [scratchpad] = train_smlr(trainpats,traintargs,in_args,cv_args)
% Trains sparse multinomial logistic regression (SMLR) to predict your regressors
%
% [SCRATCHPAD] = TRAIN_SMLR(TRAINPATS,TRAINTARGS,IN_ARGS,CV_ARGS)
%
% Trains a Sparse Multinomial Logistic Regression (SMLR) algorithm
% to predict regressors of i... |
e707e041ac3d013097a014c77fe1a383baeff6b02d95dba4f54436aabd2d3ea3 | MATLAB | 1,692 | 51 | %% Import data from text file
% Script for importing data from the following text file:
%
% filename: /dagher/dagher11/filip/Obesity_maps/Final_results/PLS1_catWeights_BMI_DBM_Cammoun_LHRH.csv
%
% Auto-generated by MATLAB on 14-Mar-2023 10:47:42
close all
%% Set up the Import Options and import the data
opts = delim... |
5ce5d5d32bd2106f6609489b73106a6eca871796dd97e082183af82570e00d83 | MATLAB | 1,696 | 63 | function [returnVar,msg] = RemoveDCfromDat(fname,nbChan)
% USAGE:
% RemoveDCfromDat(fbasename,shankIx,chanIx)
% This function removes DC from dat files by computing the average of
% the first 1e6 samples (or less if file is smaller)
% INPUTS:
% fname: dat file name
% nbChan: total number of channel... |
8c36909aaf11cb640b8f0e05e3cde77a06c7b53bba5ad1f7097e0cc0e64ea45d | MATLAB | 1,699 | 67 | % SYNTAX:
% y2 = hmrR_BandpassFilt_Nirs( y, fs, hpf, lpf )
%
% UI NAME:
% Bandpass_Filter
%
% DESCRIPTION:
% Perform a bandpass filter
%
% INPUT:
% y - data to filter #time points x #channels of data
% fs - sample frequency (Hz). If length(fs)>1 then this is assumed to be a time
% vector from which fs is estimated... |
251026be194a51a3239f5559aa10c541a3a5a696970356913ea4c25217a61a9d | MATLAB | 1,700 | 74 | function [X,Y,GoodRanges,wstruct] = LoadPosition_Wrapper(fbasename,epoch)
% loads position and speed from a position file file (ending in .whl)
%
% USAGE
% [X,Y,V,GoodRanges,wstruct] = HeadDirectionWhl(fbasename)
%
% INPUT:
% fbasename: session file basename
%
% OUTPUT:
% X: a tsd object of x positio... |
364b40c1b69bfb11881d1ed806bb973b6e3cb73e62619a7f8377dc7d770953f4 | MATLAB | 1,701 | 52 | function NMI_Cluster_Combination_211115(folder_address,if_cw,parent_dir,length_rec_sec)
cd(folder_address)
times_dir=dir('times_*.mat');
times_name=string({times_dir.name});
fprintf('Calculating NMI...\n')
compute_NMI_210726(folder_address,parent_dir,if_cw)
load('matching_table_wNMI.mat')
% Loads matching table (as... |
c7ed21e04755dcd5c6ee559fa23a2f23155558b4aa601173bf247998a51959ac | MATLAB | 1,701 | 64 | function smp = bv_readsmp(fname)
% smp = bv_readsmp(fname)
%
% :description
%
% Reads in a version 2 (BV 2000) or 3 (BrainVoyager QX) SMP file.
%
% :inputs
%
% fname file to read, e.g. 'myflatstats.smp'
%
% :outputs
%
% smp smp structure. List this function to see the field
% ... |
fb3dbef7ff31c26bddaca7546cd50bdeda466aee2e1faefacc19cba24e2b1beb | MATLAB | 1,701 | 74 | function photo_plots(params, data, plotname)
if strcmp(plotname,'deinterleaved signals')
fig=figure();
title('deinterleaved s')
hold on
plot(data.time,data.iso,'m')
plot(data.time,data.physio,'b')
legend({'iso', 'physio'})
smart_save_figures(fig, params.figur... |
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