sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
8385451962e89ec96cab85d090204b0f06ff0084c54ff3cf637d8bb837a838df | MATLAB | 686 | 28 | %
% Compute a spectral network statistic for a full dataset.
%
% PARAMETERS
% $statistic
% $decomposition
% $network
%
% INPUT
% dat/info.$network
% dat/decomposition.$decomposition.$network.mat
%
% OUTPUT
% dat/statistic.$statistic.$network
% Same format as generated by statistic_comp.m
%
network = getenv('networ... |
8c869485953e5e81778254e7ffd40100f9fe07960b161b3f7c8ee440f00e63d5 | MATLAB | 686 | 31 | %
% Convert a spectrum to real values that can be visualized.
%
% In all cases we take simply the real part, except for skew
% decompositions, where we take the imaginary part. (A more complex
% example would be the complex logarithm for orthogonal matrices, whose
% eigenvalues are unitary.)
%
% RESULT
% ret Real va... |
9a552365199274d8cba48130ed1c4249d6bfd00aa3b17a5e627ad2a808e1fdc9 | MATLAB | 686 | 36 | % f_Secs2hms.m [As a part of HFO Detection Project]
% Written by:
% Miguel G. Navarrete Mejia
% Electrical Engineering MS candidate
% UNIVERSIDAD DE LOS ANDES
% Colombia, 2012
% mnavarretem@gmail.com
function v_HMS = f_Secs2hms(ps_secs)
if ~isscalar(ps_secs) && ~isreal(ps_secs)
v_HMS = [0 0 0];
... |
edaa9dea4f60dff900995970440c3e2c436b2e9bf727dbf80da880e9b3567021 | MATLAB | 686 | 30 | function [H,lags] = spikeHazard(delta_mat,time_dim)
%spikeHazard.m 5/20/22
% inputs:
% delta_mat: binary matrix, spike occurrence = 1
% time_dim: 1 if time down rows, 2 if time across cols
% outputs:
% H: vector (row, col for time_dim 2,1)
% hazard function up through max lag in delta_mat
% lags: using discrete survi... |
0902e6791e1799d9080f9c8e58ec6be24265ef2d1ed8af93bc6aaf1f307eb30b | MATLAB | 687 | 25 | function Q = vl_imseg(I,labels)
% VL_IMSEG Color an image based on the segmentation
% ISEG = VL_IMSEG(I,LABELS) labels ISEG with the average color from I of
% each cluster indicated by LABELS.
%
% See also: VL_HELP().
% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This fil... |
2cbb149f0cac81afec06866cacb26c270fdc1c2eee93ca0b28951a70bd292aab | MATLAB | 688 | 30 | %
% Compute neighborhood predictions, based on paths of length 3.
%
% RESULT
% predictions Struct by submethod name of (e*1)-vectors
% containing the predictions
%
% PARAMETERS
% A Adjacency/biadjacency matrix
% T (e*2) Vertex pairs for which to compute predictions
% format Format of network
% weights Weights ... |
f9d45dd3da2f1063ef84aff0248daf6a148149e13893457205f085ba703046db | MATLAB | 689 | 29 | % filtEphysNoSpikes.m
%
% Median filters ephys trace to remove spikes.
%
% INPUTS:
% voltage - voltage trace
% t - time at each sample, in seconds
% filtOrder - order of filter, in seconds; i.e. number of seconds to take
% median over
%
% OUTPUTS:
% filtVolt - filtered voltage trace
%
% CREATED: 9/14/20 ... |
a41711914d2950e25cc8c7fd5599089e1ca70e0297ff675fbf8bd6b56196ff63 | MATLAB | 690 | 35 | function [Y,D] = get_D_matrix_condition(D,condition,type,bin_size,beginning,ending)
start_frame = 1
Y = [];
elimvect=[];
for tr = 1:length(D)
if strcmp(type,'onsets')
D(tr).spikes = D(tr).data_o(:,start_frame+beginning:start_frame+beginning+ending);
elseif strcmp(type,'events')
D(tr).spikes = D... |
c5a5d5fcffb2e782b3b32b576dddce4a372f8150b499601f53edc8db9147b3c8 | MATLAB | 690 | 24 | function [bins, n_norm, max_y] = f_single_IBIh(ibis, fc, max_x, binsec)
% Computes the Inter-Burst Interval Histograms of the input ibis
% max_x = maximum value of IBI considered [s]
% fc = sampling frequency [Hz]
% binsec = bin size (sec)
warning off all
bins = binsec/2:binsec:max_x; % IBI bins
Nbins = leng... |
2c97df5e5b07ff7734997628236e8f4f2080272ff217207f64078d6c24796a49 | MATLAB | 691 | 35 | function varargout = fname(varargin)
% Format
% For getting the value
% dat = fname(obj)
%
% For setting the value
% obj = fname(obj,dat)
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: fname.m 8776 2013-11-14 09:04:48Z robo... |
6b920b3d671d02bb160f082176a8f908e283d302b21500fb28d0a37bc819844e | MATLAB | 691 | 32 | clear all; clc;
% Define paths
datapath = '/';
savedir = '/';
% Load data
cd(datapath)
% load group PCA data here
data = CatScore';
clear CatCoeff CatEigVal groupname CatScores
% Loop over different numbers of ICs
tic
for NumIC = 10:10:100
disp(['NumIC = ' num2str(NumIC)])
tic
% Run icasso
[iq, A, W,... |
42a6621a8011dffe8364df7f9cc9834bce28c36ed42dcf76e7141b46c9eca5d1 | MATLAB | 692 | 29 | function [Y] = FFT2(X, Fs)
% fft2 Fourier transform algorithm
% Input£º X £ºInput data matrix, the data format is [Ntime*Nchans], where Nchans
% is number of channels (EEG electrodes) and the Ntime is the number of EEG samples
% Fs£º the sampling frequency (in Hz)
% Output£º y: Data after Fast Four... |
50327ef5b051741956023d7b0287d65ae11ad5967bbc288e99def6e16b13636d | MATLAB | 692 | 29 | % moveAvgFilt.m
%
% Function to perform moving average using specified time window to average
% over.
%
% INPUTS:
% in - input time trace to perform moving average on
% sampRate - sampling rate of input
% avgWindow - time window to average over, in seconds
%
% OUTPUTS:
% out - the filtered input
%
% CREATED: 3... |
64ae015b3aa55181741aa29aee46a4452183c2ce7e12f47910cb760e9e2bacdd | MATLAB | 692 | 24 | function nii = nii_img_update(nii, Params)
% function nii = nii_img_update(nii, Params)
%
% Author: Xu Li
% Affiliation: Radiology @ JHU - Kirby Center
% Contact via xuli@mri.jhu.edu
%
% flip nii.img if needed to fit the nifti_hdr
% check Params.nifti_flp_sli and Params.nifti_flp
% if Params has nifti_flp_sli, flip ... |
d1e6744c666fb9ee43910551c322a8ff17f8c531015ac9165522605cb8cbfdac | MATLAB | 693 | 25 | % get ROI center distances from fsaverage Desikan atlas
%
% 2023-10-13 Jonathan Wirsich
function distED = getEuclidianDistanceDesikan()
regions = 68;
%load Euclidian distance
reflect_folder = fileparts(mfilename('fullpath'));
temp = importdata(fullfile(reflect_folder, '../../data/desi_coord_68.txt'), '... |
e0026a73086ce53cdcaf01ac60a9b60c7ffbc5511b3fe1f0d8b71f69daaa7cb4 | MATLAB | 694 | 22 | function intersection = BoxIntersection(a, b)
% intersection = BoxIntersection(a, b)
%
% Creates the intersection of two bounding box sets. Returns minus ones if
% there is no intersection
%
% a: Input bonding boxes "a"
% b: Input bounding boxes "b"
% Note: size(a,1) == size(b,1) OR eith... |
6eb455ef02e0504dcdb59a59bc5512da4ece40779fff1ae42fce67aee454cb78 | MATLAB | 695 | 24 | frame_id = round(rand(1,100)*vid.NumFrames);
frame_id = frame_id(frame_id>0);
% im_rep = [];
vid.CurrentTime = 0;
for i = 1:length(frame_id)
% frame_id = round(rand(1,1)*vid.Duration);
get_im = rgb2gray(read(vid,frame_id(i)));
% get_im = im2gray(readFrame(vid));
im_rep(:,:,i) = (get_im);
i
end
dis... |
cb6a5e00c78a255f1b5b4086a9330f024ff874b730fb8645b73a5cbf0221c81a | MATLAB | 695 | 22 | function handles = SetFlyColors(handles)
% set the order we will assign colors to flies
% splintered from fixerrorsgui 6/23/12 JAB
D = squareform(pdist((1:handles.nflies)'));
isassigned = false(1,handles.nflies);
D(:,handles.nflies) = nan;
handles.colororder = zeros(1,handles.nflies);
handles.colororder(1) = handles.n... |
2ceeb705f7918916ff583c58a2d6d62643066f7b449a066bff5aad73e56a5821 | MATLAB | 697 | 31 | function [A xy] = star_graph(n)
% STAR_GRAPH Generate the star graph of order n
%
% The star graph is a simple star with n vertices. Vertex n is the center
% vertex.
%
% [A xy] = star_graph(n) generates a star graph with n vertices and
% returns the adjacency matrix in A. The matrix xy stores two-dimensional
% coord... |
603eb6207b2bac1001cfb7a1ace466679aa8a6b8ea62c0a506c5faae5f3ce33a | MATLAB | 697 | 34 | %% Create tracks object :)
function [tracks] = creatFirstTrack2(data)
%create first frame
% create an empty array of tracks
tracks = struct(...
'id', {}, ...
'data', {}, ...
'totalVisibleCount', {}, ...
'consecutiveInvisibleCount', {},...
'predictedCentroid',{},...
'age',{});
ids = 1:size(data{... |
3f625c086660c77b89dae61922ec471d1e2b870bc7bd4c517d7c85b0d693dc57 | MATLAB | 698 | 35 | function varargout = fname(varargin)
% Format
% For getting the value
% dat = fname(obj)
%
% For setting the value
% obj = fname(obj,dat)
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: privatefname.m 8776 2013-11-14 09:04:4... |
bce798f7929520a33b9a3086ae7c67997ce4cb2cf3a695a89beafcf4de8cf514 | MATLAB | 698 | 29 | function imageOut = rescaleImage(image,scale)
%rescales an image
s = size(image);
s2 = round(s*scale);
if min(s == s2) == 1
imageOut = image;
else
if scale > 1
startIdx = floor((s2 - s)/2);
imageOut = imresize(image,s2);
... |
f6ba5a9c66d219e3acf6766293bf2214aeee3bdd6715ce2cdc51e47b4a97d18e | MATLAB | 698 | 17 | function ver=SONVersion(varargin)
%SONVERSION returns/displays the version number of the matlab SON library
%
% VER=SONVERSION
% returns and displays the version while
% VER=SONVERSION('nodisplay')
% suppresses the display
%
% Author: Malcolm Lidierth 10/06
% Copyright © The Author & King's College London ... |
425d7c20479b226dfe53221a04c9f5ad7a9200d2fd1de12b4c204146c77d2364 | MATLAB | 699 | 38 | function h=vl_plotgrid(x,y,varargin)
% VL_PLOTGRID Plot a 2-D grid
% VL_PLOTGRID(X,Y) plots a grid with vertices (X,Y). X and Y are MxN
% matrices, with one entry per vertex.
%
% H=VL_PLOTGRID(...) returns the handle to the grid object.
%
% See also: VL_HELP().
washold = ishold ;
[M,N] = size(x) ;
hold on ;
xh... |
b988de3b660ce993f998083d11ec07a232f6dbaae8b0e4cc5cb26089f4128d8b | MATLAB | 699 | 34 | %try_circ_fit
%
% IB
%
% revival of a 13 years old code
% Create data for a circle + noise
th = linspace(0,2*pi,20)';
R=1.1111111;
sigma = R/10;
x = R*cos(th)+randn(size(th))*sigma;
y = R*sin(th)+randn(size(th))*sigma;
plot(x,y,'o'), title(' measured points')
pause(1)
% reconstruct cir... |
1b88cf2056c44ed8f63e562d6e210c064771e1eeafeba438e1c9e27e94ef90d4 | MATLAB | 700 | 26 | function colorMoments = colorMoments(image)
% input: image to be analyzed and extract 2 first moments from each R,G,B
% output: 1x6 vector containing the 2 first color momenst from each R,G,B
% channel
% extract color channels
R = double(image(:, :, 1));
G = double(image(:, :, 2));
B = double(image(:, :, 3));
% compu... |
4f7a22f52037ff7922cbfa5113d8ca1e1fad9606dbf401c33a02bddd8f3ebf51 | MATLAB | 700 | 18 | function out = veclinspace(v1,v2,n)
% out = veclinspace(v1,v2,n)
%
% A vectorized version of linspace that creates a sequence of n vectors
% between v1 and v2.
%
% 2017 - Adam Charles and Alex Song
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
out = zeros(length(v1),n); ... |
8683024bdd50a05958a0dbbc270bb470fb2647b1b6f391273701b266ccff30ec | MATLAB | 700 | 24 | function waveletMoments = waveletTransform(image, spaceColor)
% input: image to process and extract wavelet coefficients from
% output: 1x20 feature vector containing the first 2 moments of wavelet
% coefficients
if (strcmp(spaceColor, 'truecolor') == 1)
imgGray = double(rgb2gray(image))/255;
imgGray = imresiz... |
90d7eb2ed52c3a0a714ba17970dcd1139c07947c569f37d88dbdce2ce655992f | MATLAB | 700 | 25 | % IBEI_main.m
clear all
% close all
warning('off','signal:findpeaks:noPeaks')
% %%%%
% Select the source folder
BEFolder = uigetdir(pwd,'Select the BurstEvent files folder');
if strcmp(num2str(BEFolder),'0')
errordlg('Selection Failed - End of Session', 'Error');
return
end
% %%%%
% Select the parameters
[userP... |
1180f63d393b17c0c88498e51759b93e78bc8afc855383449eac13eefeee4e04 | MATLAB | 701 | 33 | % test code
[dataDir, exptFnDir, settings] = ephysSettings();
% aIn = {'ampScaledOut', 'ampI', 'amp10Vm'};
aIn = {};
aOut = {'ampExtCmdIn'};
% aOut = {};
% dIn = {'ficTracCamFrames', 'legCamFrames'};
dIn = {};
dOut = {'legCamFrameStartTrig'};
[userDAQ, aiCh, aoCh, diCh, doCh] = initUserDAQ(...
settings, aIn,... |
27a911a1127a81584467874812af1f03618e3fad0b816f8244ab0ac78310ca6c | MATLAB | 701 | 14 | function true_valid_stim_final=find_stim_on_turn_onsets(stims_delivered_during_mochis_turns,er_turn_onset_indices)
%%% this function make sure that we are only selecting stim which occurs after the worm crossed ellipse ratio threshold
true_valid_stim=[];
for xx=1:length(stims_delivered_during_mochis_turns)
... |
6362123dff44ccf932fee5314ef74cdacc8d157eed7c9589f4e522eddfc9d4f9 | MATLAB | 701 | 23 | function score = GetPascalOverlap(bb, bbgt)
% Directly copied from Pascal code
%
% Gets the overlap measure according to Pascal
%
% bb: Bounding Box
% bbgt: Ground truth bounding box
%
% score: Score between 0 and 1. 1 is complete overlap.
score = 0;
% intersection bbox
bi=[max(b... |
b6cdce278e151ec2c5e14f96570d33157f081bbd976373915128cb1821c3df5f | MATLAB | 701 | 13 | function text_FD_th=make_text_FD_th(handles)
text_FD_th{1}=['FD th: ' num2str(handles.mc.FD_th,'%4.4f')];
text_FD_th{2}=['min time minutes: ' num2str(handles.mc.min_time_minutes,'%4.4f')];
text_FD_th{3}=['min frames: ' num2str(handles.mc.min_frames,'%4.0f')];
text_FD_th{4}=['skip: ' num2str(handles.mc.skip,'%4.0f')];
... |
0561606524714a3e44406475d206cf44f548e5abb31c421dfb3f9f7bc5c318e5 | MATLAB | 702 | 36 |
function tmp=my_load_file(cache_file, be_quite)
if nargin<2
be_quite=false;
end
if ~be_quite
fprintf('load_file:%s\n',cache_file);
end
tmp=[];
if exist(cache_file, 'file')
finished=false;
while ~finished
try
... |
12554dafdd3905bcff5b07e50c6889ef6148b7dc313224f34838fc967bc91373 | MATLAB | 702 | 25 | function EyeHeadData = GetEyeHeadDataXworkNew
clear
XWORK = uigetfile('*.00**','Enter file');
data = readcxdata(XWORK, 0, 7);
MaestroConvEPos = 0.025;
MaestroConvEVel = 0.0919;
MaestroConvHVel = 0.1057;
Epos = MaestroConvEPos*data.data(1, :);
Evel = MaestroConvEVel*data.data(2, :); %hevel, just to compare with Eye... |
2cad42eb24eb68fd7ca42b0e1c2f2c3ccb1748e552f0e5172193f87504263354 | MATLAB | 702 | 18 | function [ index_found ] = is_approximate_member(search_for,search_in,min_difference)
%finds if there exists an approximate row in "search_in" for the row "search_for"
%used to see if a stimulus shape appears similar to another stimulus shape
if nargin < 3
min_difference = 0.05;
end
index_found = 0... |
7c93a5f6651c04c9a835732e16aa319d5562609974ccf67d6a044c1991d09fe9 | MATLAB | 702 | 31 | function lpp_plot_set(ylim,ytick,yticklabel,xlim,xtick,xticklabel,figsize)
%LPP_PLOT_SET 이 함수의 요약 설명 위치
% ylim: e.g., [0.73 0.96]
% ytick: e.g., [0.73 0.8 0.85 0.9 0.95 1]
% yticklabel: True or False
% xlim: e.g., [0.5 5.5]
% xtick: e.g., [1 2 3 4 5]
% xticklabel: True or False
% figsize: [303 472 30... |
4efe328db62f4c52c1a5f4980ae110a6d05368e6f15f9db67ab91d04030d3757 | MATLAB | 705 | 16 | % feature should be dimensions * nSegments (column major)
function diff = hist_dist( hist1, hist2, method )
switch method
case 'x2'
% diff = 0.5 * sum((hist1 - hist2).^2) ./ sum(hist1 + hist2 + eps);
diff = 0.5 * sum( (hist1 - hist2).^2 ./ (hist1 + hist2 + eps) );
case ... |
5980f87d805294bdc90d771e4584a0a56fca3c1d592ff01c11d3d2414955925b | MATLAB | 705 | 16 | function [ ] = bemf2_graphics_surf_field(P, t, FQ, Indicator, tissuenumber)
% Surface field graphics: plot a field quantity FQ at the surface of a
% brain compartment with the number "tissuenumber"
%
% Copyright SNM 2017-2020
ind = tissuenumber;
t0 = t(Indicator==ind, :);
Num... |
6f3f307e4caa13104cbbf2e767ead4e48554b0566826c782c1f5e71147978894 | MATLAB | 705 | 23 | function rasterPlot(obj)
scope_timestamps_ms = obj.getScopeTimestampsMs();
tm = ceil(scope_timestamps_ms(end)/1000);
edges_s = linspace(0, tm, tm);
raster = zeros(obj.neuronData.num_neurons, length(edges_s)-1);
for iN = 1:obj.neuronData.num_neurons
t_s = [obj.neuronData.neuron(iN).calciumE... |
d823e336f1fb2b82f55fc2f914b03fdc6a70aac0a2a88d7a6ba5f3c6ba8eeda5 | MATLAB | 705 | 22 | % VL_CUMMAX Cumulative maximum
% If X is a vector, VL_CUMMAX(X) is the vector with the cumulative
% maximum of X. If X is a matrix, VL_CUMMAX(X) is the matrix of the
% cumulative maximum of the columns of X. If X is a multi-dimensional
% array, VL_CUMMAX(X) operates along the first non-singleton
% dimension.... |
cc482d5e542f13ac968ae372c431fc0c2ee369eb528ca315e8ef42998075e448 | MATLAB | 706 | 11 | function [rand_shift_ms, rand_shift_n] = ml_util_rand_timeshift(ts_ms, shiftMin_ms, numDraws)
% tshift_min = ts_ms(1) + shiftMin_ms; % min seconds from start
% tshift_max = ts_ms(end) - shiftMin_ms; % min seconds before end
% tshift_draw_ms = (tshift_max - tshift_min).*rand(1,numDraw... |
e74c58ef5d55264a5e6032ff03646ef0e19f33498c76e7e3b0934d763ee090fb | MATLAB | 706 | 22 | function ExtractFields(StructNames)
% Extracts the parameters from struct(s) StructNames (cell with the
% struct names (struct, not characters!))
for sid = 1:length(StructNames)
tmp = StructNames{sid};
FN = fieldnames(tmp);
for fid=1:length(FN)
eval([FN{fid} '= tmp.' FN{fid} ';'])
assignin(... |
f80216a52082d7723d31d99c56e3a16406bcc763f19ba2fd0b22c0c507ec393a | MATLAB | 706 | 30 | function firingRate = calc_recipInterval(spikeTimes, ephysLength, sampleRate)
firingRate = nan(ephysLength,1);
AAA = spikeTimes(2:end) - spikeTimes(1:end-1);
eIndex = 0;
tic
for i = 1:length(firingRate)
if eIndex >= length(spikeTimes)
break
end
... |
6a43299ad195bea85b72022b4c1e5140796ea597c0a5a29839d8d33fead19027 | MATLAB | 707 | 16 | function [first_stim_frame, stim_value, stim_duration] = read_next_rails_stim(stim_time_series, start_frame, end_frame)
%given a rails timeseries and a starting point, extract the beginning and
%duration of the next pulse
end_frame = min(end_frame, numel(stim_time_series));
[~, stim_peaks, widths, ~] = findpeak... |
db0e61f14fdae44bf8917f7973ecd48fb20ac04418a1c70a4d601c20027881c6 | MATLAB | 707 | 32 | function [stats] = ml_cai_spatialfootprint_stats(sfp)
sfp = ml_core_remove_zero_padding(sfp);
X = sfp;
p = prctile(X(X ~= 0), 50);
% M1
BW = bwperim(X>0, 8);
P = sum(BW == 1, 'all');
A = sum(X>0, 'all');
M1 = 4 * pi * A / P.^2;
CC = bwconncomp(X >= p);
numComponents = ... |
6c0d24ca61db05b54d69e32ec9b5e8bbb28409d7661702b8a556c7e74618f743 | MATLAB | 708 | 37 | function[weighted_intensities]= weight_intensities(all_intensities,combos)
wave_tally= zeros(size(all_intensities,2),1);
for i =1:length(combos)
cur_waves=combos{i};
for j=1:length(cur_waves)
wave_tally(j)=wave_tally(j)+1;
end
end
delete_vect=nan(size(all_intensities,2));
for i =1:length(dele... |
9546971297576d7f6d25e5dceba005a7c8ec96184ddaa31502a55c9e5a3ae005 | MATLAB | 708 | 32 | % mglVFlip.m
%
% $Id$
% usage: mglVFlip
% by: justin gardner
% date: 09/06/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: flips coordinate frame vertically,
% see also: mglHFlip
% e.g.:
%
%mglOpen
%mglVisualAngleCoordinates(57,[16 12]);
%mgl... |
a6bc3c6fd79a5b9a6c6190c85a0d3d107ac94413cbeb20239d0c1b91f3c9f6aa | MATLAB | 708 | 19 | % BIOSIG/DOC Documentation files
%
% DecimalFactors.txt Table of Decimal Factors [1]
% leadidtable_scpecg.txt EN1064 Lead Identification Table of the SCP-ECG format [1]
% units.cvs Vital Signs Units of Measurement [1]
% header.txt describes HDR struct [2]
% eventcodes.txt Table of Event Codes [2]
% elecpos.txt ... |
cc8ee89492fa967acfccd1e4f83544d7a94a6915769ac3cadcc1d75b5190820f | MATLAB | 708 | 38 | function w_fid=linebroad(fid,at,lb)
%line braodening for csi data set
dims=size(fid);
[np,loc]=max(dims);
if length(dims)==2
dims(3)=1;
end
sw = np/at;
t1 = ((1:np) .* 1/sw);
if (loc == 1)
for idx = 1:dims(2)
for idx2 = 1:dims(3)
fid(:,idx,idx2) = squeeze(fid(:,idx,idx2)) .* exp(-t1 .* ... |
e194e8dbc113e4276c04fe75db44390d903a72d7922973f7d6d354f57033df23 | MATLAB | 711 | 23 | function [] = ExtDataFig05_QtoP_TN1dsx()
% Code for plotting changes in ΔF/F from quiet to pulse transitions in Extended Data Fig. 5k.
%% Song-type preference index (dPR1, TN1SG)
load(['../Data/Summary_TN1dsx/QtoPIndex'])
buf_Idx = Idx_QtoP;
xx = [1*ones(length(Idx_QtoP),1)];
figure('Position',[100,100,50,50])
hold ... |
42deba87b3758e515e48cb7e5d5ac3e61ad7496af85d1e3b60779bff5a794283 | MATLAB | 713 | 29 | function [averk, ki] = gretna_node_degree(A)
%==========================================================================
% This function is used to calculate nodal degree for a binary graph or
% network G.
%
%
% Syntax: function [averk ki] = gretna_node_degree(A)
%
% Input:
% A:
% The adjencent ... |
03d10a4b5ea2b5f69af3af599024749ad342a2a5751de0c0339ba413ffceb726 | MATLAB | 715 | 27 | %% degree distribution
load('Sub_topo_str_DBM.mat')
roi_num = 48;
Glo_topo = {'acp','alp','acpratio','alpratio','aQ','aQratio'};
itopo = 1;
net_type = {'bin_no_smo','bin_smo'};
Nbins = 10;
results = struct;
save_path = [pwd '\pic'];
mkdir(save_path)
% degree
topo_data = [mean(sub_topo_bin_no_smo)',mean(sub_topo_bin... |
7e2b3b79588f69b9264782163557252d3c30c2cf17168fba230752fd2d6292c5 | MATLAB | 715 | 25 | % Get header of the subject information
% [ Yokogawa MEG Reader toolbox for MATLAB ]
%
% brief:
% This function retrieves information of the subject in the specified file.
%
% usage:
% subject = getYkgwHdrSubject(filepath)
%
% arguments:
% filepath : file path
%
% return values:
% subject : structure o... |
9b4b5bf7c0ed1be45e31d38a11c126d0bebf2d5b95baeb2c660c95949ee9ce4c | MATLAB | 715 | 15 | function [arena] = ml_arena_initialize(arenaJson, refP, refQ)
% Example for tetrode roi
%refP = reshape(arenaroi.inside.j, 1, 4);
%refQ = reshape(arenaroi.inside.i, 1, 4);
if strcmpi(arenaJson.shape, 'rectangle')
arena = MLArenaRectangle([refP; refQ], arenaJson.x_len... |
9dee126dc66df5faf47edc0fc9db23a5089b990d9a7972eaf871fc40813ec3c3 | MATLAB | 715 | 29 | function [angle,l,x,y,ismissing] = FixWingNaNs(angle,l,i,medianlength,outtrx)
ismissing_angle = isnan(angle);
ismissing_l = isnan(l);
% fill with zeros
angle(ismissing_angle) = 0;
% interpolate
ispresent_l = ~ismissing_l ;
n_present_l = nnz(ispresent_l) ;
n = length(ispresent_l) ;
if n_present_l == 0
l(:) = median... |
a4115bf102d556f11eb0cd4f1d4ffd6a2ac2be42040384d65ab41164c2546609 | MATLAB | 715 | 17 | function ver=SONVersion(varargin)
%SONVERSION returns/displays the version number of the matlab SON library
%
% VER=SONVERSION
% returns and displays the version while
% VER=SONVERSION('nodisplay')
% suppresses the display
%
% Author: Malcolm Lidierth 10/06
% Copyright © The Author & King's Colleg... |
cff92a818056971d6898e08cf574282800ceda1c6d126810c5211b8c97af5463 | MATLAB | 715 | 27 | %% degree distribution
load('Sub_topo_str_VBM.mat')
roi_num = 48;
Glo_topo = {'acp','alp','acpratio','alpratio','aQ','aQratio'};
itopo = 1;
net_type = {'bin_no_smo','bin_smo'};
Nbins = 10;
results = struct;
save_path = [pwd '\pic'];
mkdir(save_path)
% degree
topo_data = [mean(sub_topo_bin_no_smo)',mean(sub_topo_bin... |
66a918f4df57634084dac55db5ff2192c8a6cafe7cf9c228b9592424cd8e2d53 | MATLAB | 716 | 29 | function [nu,x,h,xp,yp]=univar(data)
% Computes the univariate pdf of data and the histogram values.
% Returns the frequency of data per bin (nu), the position of the bins (x)
% and their size (h). The pdf is returned in yp for the xp values
% Cyril Pernet v1
% ---------------------------------
% Copyright (C) Corr... |
712b0e499e4ac78a56f26de9b70137899278cf990f3328a6c669ed184c0ae870 | MATLAB | 716 | 22 | % VL_IMINTEGRAL Compute integral image
% J = VL_IMINTEGRAL(I) calculates the integral image J of the image
% I. I must a matrix with DOUBLE, SINGLE, UINT32, or INT32 storage
% class. J is given by
%
% J(i,j) = sum(I(1:i,1:j)).
%
% J has the same size as I and the same storage class.
%
% Example::
% T... |
f5881d7ff380dc0a82f4d3363ac3902bbe4f20d4005c70fe982a77dbeaf80d88 | MATLAB | 716 | 31 | function [shift]=shift_wseries(img)
yr= nan(512,1023);% each row is the xcorr of the y from each image
ylag=nan(1023,1); % just a list of the lags that can be overriden every time in the for loop
xr= nan(512,1023);% xcorr of the x
xlag=nan(1023,1);
for x_or_y=1:512
[xr(x_or_y,:),xlag(:)]=xcorr(img.wsRef(x_or... |
0f4bc735a20732e72519630e0ac993cb5028859f81ca29445b2d04fd60bbb191 | MATLAB | 718 | 17 | function [task myscreen] = mglEyelinkCallbackGetPosition(task, myscreen)
% mglEyelinkCallbackGetPosition - Assigns eye position to myscreen
%
% Usage: mglEyelinkCallbackGetPosition(IP, conntype)
% IP - the ip address of the eyelink eye tracker, defaults to 100.1.1.1
% conntype - the connection type: 0 opens a direc... |
c988f096b437048f430db80e74e2879a2037e666f06ba7f1edb5def838ef4a66 | MATLAB | 718 | 25 | function [scores index] = BlobBestOverlap(gtBlobs, testBlobs)
% [scores index] = BlobBestOverlap(gtBlobs, testBlobs)
%
% Get overlap scores (Pascal-wise) for test blobs
%
% groundTruthBlob: ground truth blobs
% test: Test blobs
%
% scores: Highest overlap scores for... |
dfa179de0f2ea00cb8faf9c0a3f73307e7a116729e7b2fdce4f07c394c196714 | MATLAB | 718 | 24 | function lf=openmeeg_helper(pos,vol,splitdim)
%
% Splits the calculation of leadfields in smaller chunks
% pos: positions of dipoles
% vol: volume conductor
% splitdim: splitting factor
lf = [];
ndip = size(pos,1);
numsol = fix(ndip./splitdim);
nleft = rem(ndip,splitdim);
lf = zeros(size(vol.mat,1),ndip*3);
if... |
5d80baa3dbef63b31c06d6cd730b4b20b3142d3466b7a29166ab843ee01dac62 | MATLAB | 719 | 29 | %% distance data analysis for aedes
addpath(pwd)
addpath('Path to code here')
%% build parameters structure
Params = struct();
Params.FirstPath = pwd;
%% get directory of interest (add directory to video file(s) here)
selpath = uigetdir;
cd(selpath)
dirContents = dir('**/*.*') ;
strIdx = (strfind({dirContent... |
a1ff15fdd372e0b78bd9cdc7197d5124f283591f8e60b747fa9b9b7c06d33096 | MATLAB | 719 | 23 | function [estFps, percentFps] = ml_cai_daq_estimatefps( timestamp_ms )
% timestamp_ms should be an array of timestamps in milliseconds
% The fps to check (these are the default DAQ options)
FPS_TO_CHECK = [5 10 15 20 30 60];
% +/- DFPS
DFPS = 5;
% Compute the instantaneous fps across time
fps = 1 ./ double(diff(times... |
0db6b9fabb784a3683d9acfddca7ea607f1679c33383c1900b5184dcf5495e25 | MATLAB | 720 | 34 | %
% Computer the "diam" statistic from the hop distribution.
%
% PARAMETERS
% $NETWORK
% $TYPE "full" or "split"
%
% INPUT
% dat/hopdistr_time.$TYPE.$NETWORK
%
% OUTPUT
% dat/statistic_time.$TYPE.diam.$NETWORK
%
network = getenv('NETWORK');
type = getenv('TYPE');
data = load(sprintf('dat/hopdistr_time.%s.%s', typ... |
2550decb67ea033406b4855a9ab1a14ec5a9aa76c8eaa93b0bfd7f30bfa15eb6 | MATLAB | 720 | 23 | % nestedEvalin.m
%
% Helper function that enables evalin function call using variables in the
% function that calls nestedEvalin instead of the function that called the
% function that contains evalin. I.e. uses the workspace of the present
% function.
%
% Notes: so far, only tested when str is variable name, not wh... |
ba03058d727e777cab18a5e9bfe1f07437a25981cfc8d5c139e942fce3dd0429 | MATLAB | 720 | 37 | % quickPlotSpikerateVTurnBouts.m
%
% 7/18/23 - Quick and dirty plotting function relating spike rate to
% turning bouts. Plots output of saveSpikerate_bouts.m
for i = 1:5
figure;
scatter(allYaw(i,:), allFwd(i,:), [], allSpikerate(i,:), 'filled');
colormap(gca, 'parula');
caxis([0 100])
colorb... |
a02e5bf5c205a99bbda240acf20ba0612d167098f09b0e71078a33b9a1eb53a7 | MATLAB | 721 | 18 | close all
clear all
clc
fclose('all')
recordingsParentFolder = '/work/muzziolab/PROJECTS/two_contexts_CA1/miniscope/recordings/feature_rich/CMG129_CA1';
analysisParentFolder = strrep(recordingsParentFolder, 'recordings', 'analysis');
config = mulana_json_read('/work/muzziolab/PROJECTS/two_contexts_CA1/miniscope/source... |
3dc25dc99d682a1859048bffd67ab6a9a2aa3a3c70ccdea33102b81e6c492b70 | MATLAB | 722 | 19 | function [SNR_threshold] = find_snr_threshold(bias_average,crit_val,simulated_SNRs,max_n)
for index_alogrithm = 1:4
for AxTM_index = 1:5
if and (~isempty( max(find([bias_average(AxTM_index,:,index_alogrithm)] >= crit_val)) ), max(find([bias_average(AxTM_index,:,index_alogrithm)] >= crit_val)) ~=... |
c70db66e3c711ded5793e414ce471c32ef11905592d8a8a966b805704470b322 | MATLAB | 722 | 26 |
% copy from VOC toolkit
% VOCLABELCOLORMAP Creates a label color map such that adjacent indices have different
% colors. Useful for reading and writing index images which contain large indices,
% by encoding them as RGB images.
%
% CMAP = VOCLABELCOLORMAP(N) creates a label color map with N entries.
functi... |
ff7bf7eab1ddb8649f4626782a1785187d474b033e9fbf8bcd0a5bb6eb3d0cce | MATLAB | 722 | 40 | %% TE = readTE_dcm2niix_JSON(filenames)
%
% Input
% --------------
% filenames : json file fullname(s)
%
% Output
% --------------
% TE : echo times
%
% Description:
%
% Kwok-shing Chan @ DCCN
% k.chan@donders.ru.nl
% Date created: 13 June 2018
% Date last modified:
%
% modifed by X.L., ... |
808c61a2fa92042b8378d5e50af3bd29f3559c75335cb64db90c09677509114e | MATLAB | 723 | 15 | function handles=update_paths(handles)
% handles.exp_path=[handles.root_path filesep 'exploratory' filesep];
handles.root_path=handles.exp_path(1:end-11);
handles.no_auto_path=[handles.root_path 'no_autocorrelation' filesep];
handles.model_based_path=[handles.root_path 'model_based' filesep];
handles.model_based_tsvd... |
a6a5bd183afe5377126536e62cf2e2fab93b5c4e6c1a9ece2c8a211091dd1dfd | MATLAB | 723 | 32 | % mglVFlip.m
%
% $Id$
% usage: mglVFlip
% by: justin gardner
% date: 09/06/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: flips coordinate frame vertically,
% see also: mglHFlip
% e.g.:
%
%mglOpen
%mglVisualAngleCoordinates(57,[16 12]);
%mgl... |
9ea805226526de8b1410a32921660385db2c7841661d1d5b1f8cb41cdbc711f9 | MATLAB | 724 | 31 | <<<<<<< HEAD
function [fmr1000, index, fmr1000_threshold] = computeFMR1000(FMR, FNMR, scores)
%FMR1000 (the lowest FNMR for FMR<=0.1%)
[fmr1000, index] = min(FNMR(find(FMR <= 0.001)));
% correction on indexes
if isempty(fmr1000)
fmr1000 = 1;
index = 0;
end
if nargin > 2
fmr1000_threshold = scores(index);... |
3650d28c474ef9c16ab73f81c7fef77365bbbfad13df355ef32e8a324189920f | MATLAB | 725 | 29 | function [kspace,data,msg_out]=cine_recon(kspace,Dat,procpar)
% This is a custom VNMR k-space reconstruction code for CINE data used by
% aedes_readvnmr.
% If called without input arguments, return the sequence names that
% this code reconstructs
if nargin==0
kspace = {'cineSSFP'};
return
end
data=[];
msg_out = ... |
887305d2491a4b8b70794081668a5428b5fba6312330554559d5696bd0a8b5e5 | MATLAB | 726 | 20 | % Noise standard deviation calculation
% noise_level = calfieldnoise(iField, Mask)
%
% output
% noise_level - the noise standard devivation of complex MR signal
%
% input
% iField - the complex MR image
% Mask - the a region of interest that is not pure noise
%
% Created by Tian Liu in 20013.07... |
d70039f585590f22d91d17519abad1b410f3b3649b303d48a81821df474b5a00 | MATLAB | 726 | 25 | function trk1 = fix_CatTracks(trk1,trk2,trajfns)
% concatenates trk2 onto trk1
% does not copy all fields -- convert_units must be re-run on the output track
% splintered from fixerrorsgui 6/21/12 JAB
if nargin < 3,
trajfns = {'x','y','a','b','theta'};
end
n = trk2.nframes;
for j = 1:numel(trajfns),
fn = trajfns... |
e5767fa6c6e421ddd74d3c3c57f5751247f82368480fcf0d8e667cd95a9e5c02 | MATLAB | 726 | 40 | function ip = inplace(a)
% INPLACE Convert to a type that supports inplace modification
% ipa = inplace(v) creates an inplace double object from any matrix v.
%
% Example:
% ipa = inplace(ones(5));
if nargin == 0
error('inplace:invalidParameter', ['ipdouble must be created with an initial .']);
elseif isa(a,'ip... |
83f06c2918af8b30104ae06312a2e7bbca39a758ba16363513e82875cde7156f | MATLAB | 727 | 17 | function y = t_mik1(n,num_VTA,dt,T,t_total,p_r,npp,unit_stim,t_stim,t_reward,T_R,alpha,beta)
t_mik11 = zeros(n,t_total/dt);
ndd = npp;
for k = unit_stim
j = (((k+1)/2)-1)*ndd;
t_mik11(j+1:j+ndd,(t_stim((k+1)/2)+dt)/dt:(t_stim((k+1)/2)+T)/dt) = (rand(ndd,T/dt) < p_r);
% t_mik1(j+npp+1:j+2*npp,1:t_stim/... |
a82efdebe3a460ef1e1ccd65a87b49a9daa28b4768d32dc737a7c7b22b608485 | MATLAB | 727 | 26 | % VL_DEMO_GMM_2D_RAND Demonstrate clustering points with a GMM
%% Create a random set of points
numPoints = 5000 ;
dimension = 2 ;
numClusters = 20 ;
data = rand(dimension, numPoints) ;
%% Learn a GMM: fit the points at maximum likelihood
vl_twister('state',0) ;
[means, covariances, priors] = ...
vl_gmm(data, nu... |
add8c86192b36e40283dbc37b63c27c5f1ee18a2e009620363eb2891487a1eac | MATLAB | 727 | 23 | function [ns_RESULT, nsLibraryInfo] = ns_GetLibraryInfo();
%ns_GetLibraryInfo Get library version information
%
% Usage:
% [ns_RESULT, nsLibraryInfo] = ns_GetLibraryInfo()
%
% Description:
% Obtains information about the API library.
%
% Return Values:
% nsLibraryInfo Structure to receive l... |
d4faddb4fe9eeb06fd6a506b3a166cce469cf44afd85f341503fd53faf1c8c56 | MATLAB | 727 | 35 | function varargout = scl_slope(varargin)
% Format
% For getting the value
% dat = scl_slope(obj)
%
% For setting the value
% obj = scl_slope(obj,dat)
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: scl_slope.m 8776 2013-11-1... |
099fb59e9a1fd874ab42e93e5684c573d390da96aea2ad95d76bd494628ed04c | MATLAB | 728 | 27 | function[beta_similarity,angle,mean_vect]=get_beta_similarity(type,svm,trials,response,som,pv)
%%
b=svm.Beta;
if strcmp(type,'mean')
comparison_vect=mean(trials,1);%
elseif strcmp(type,'unit')
unit_vector=ones(1,length(b));
end
beta_similarity=cosineSimilarity(b',comparison_vect);
CosTheta = max(min(dot(b'... |
1c05410f57af81762e51f6887dd00fab96a6af4f121dae23030651f46e78506f | MATLAB | 728 | 24 | function [dWx,dWy] = vl_dwaffine(x,y)
% VL_DWAFFINE Derivative of an affine warp
% [DWX,DWY]=VL_DWAFFINE(X,Y) returns the derivative of the 2-D affine
% warp [WX; WY] = [A T] [X; Y] with respect to the parameters A,T
% computed at points X,Y.
%
% See also: VL_WAFFINE(), VL_HELP().
% Copyright (C) 2007-12 Andr... |
47d1a73f06e1af3cdd86ba3bc46be0c5f2704679ac1d1507fcf6b181ad3293ac | MATLAB | 728 | 33 | function [peakW,peak_latency]=peak_width(spikes,touch_idx)
peakW=zeros(1,4);
peak_latency=zeros(1,4);
boxcar=[zeros(1,5) ones(1,5)];
for itouch=1:4
if itouch==4
filteredFR=conv(mean(spikes(touch_idx>=itouch,100:end)),boxcar,'same');
else
filteredFR=conv(mean(spikes(touch_idx==itouch,100:end)... |
6a8ce7b1557a3cb42091dd1aabe68e0fab441730ea016f4fa8f33cbff069cb6e | MATLAB | 728 | 36 | function varargout = scl_inter(varargin)
% Format
% For getting the value
% dat = scl_inter(obj)
%
% For setting the value
% obj = scl_inter(obj,dat)
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: scl_inter.m 8776 2013-11-1... |
07ba8dbedf4a61fbe24aeb4da876345742ae76a384d0fc08e8d8035dc6b7e725 | MATLAB | 729 | 25 | function ns_RESULT = ns_CloseFile(hFile);
%ns_CloseFile Closes a neural data file
%
% Usage:
% ns_RESULT = ns_CloseFile(hFile)
%
% Description:
% Closes a previously opened file specified by the file handle hFile.
%
% Parameters:
% hFile Handle/Indentification number to an open file.
%
% ... |
6025472522bdff7bc09993b5f46c2c3fadaf36bf9865c83814ee50def8854c1b | MATLAB | 729 | 23 | function outMatrix = normBetween01(inMatrix, dim)
% normalize values between 0 and 1
% Check if there is a negative value in the matrix
if any(inMatrix(:) < 0)
error('Input matrix contains negative values.')
end
% Check if the dimension is valid
if dim > ndims(inMatrix)
error('I... |
67369289e2b23103d78f846062546c220420f1a7a43eae5d85847d2a6dace02c | MATLAB | 729 | 25 | % Get toolbox version
% [ Yokogawa MEG Reader toolbox for MATLAB ]
%
% brief:
% This function retrieves version of this toolbox.
%
% usage:
% ykgw_ver = getYkgwVersion;
%
% arguments:
% none
%
% return values:
% ykgw_ver : structure of toolbox version
% .version : string, toolbox version : major.min... |
105fd647d3557017b0475fbb23ad8c96ab4c41b774228d98c6bbe29d8d004065 | MATLAB | 730 | 31 | angles = allAngles;
rho = data{iTrial}.allDistances(activeIndices,:); % matrix of spikes x distances where #distances is #angles searched
theta = data{iTrial}.lookDegCan(activeIndices); % #spikes x 1 vector
x = data{iTrial}.posCan(activeIndices,:); % position #spikes x 2
distanceThreshold = 30;
rhot = rho;
rhot(rhot <... |
5cb09ec2959401f648bc1d7f6ff007ec5f4eaacba9950ee7309385b0764acec8 | MATLAB | 730 | 16 | function [result] = ml_egomaps_compute(...
animal_pos_x_cm, animal_pos_y_cm, animal_facing_angle_deg, ...
cell_activation, ...
ARENA_WIDTH_CM, ARENA_HEIGHT_CM, RADIUS_CM, EGOMAPS_CM_PER_BIN, showAnimation)
DISCRETIZATION_SCALE_FACTOR = 100;
EgoTable = ml_egomaps_compute_segment_table(...
an... |
9e73e4924eff672ce364fff8aff1bfe83fa7bc416d55094488ae40fec9715817 | MATLAB | 730 | 19 | function I = capture_PG_area_ramps(SC,max_ramp,d_ramp,titl)
ramps = -max_ramp:d_ramp:max_ramp;
num_ramps = length(ramps);
mat_flag = 1;
py_flag = 0;
flag_nearest = 0;
images = zeros(SC.N_PG,SC.N_PG,num_ramps,num_ramps); %uncomment this line
for ix = 1:num_ramps
for iy = 1:num_ramps
fx = ramps(i... |
e2a9ae205fbbe13aef1e361a0acb85b14414c8903f7110756f6a4a2bc850a2f1 | MATLAB | 730 | 26 | function d = getdict
% Dictionary of GIfTI/NIfTI stuff
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
% Guillaume Flandin
% $Id: getdict.m 8776 2013-11-14 09:04:48Z roboos $
persistent dict;
if ~isempty(dict)
d = dict;
re... |
fee8b6920a11179a5e32f4a4261d612c6a93979075928eb68659dda367412445 | MATLAB | 731 | 19 | % VL_LBP Local Binary Patterns
% F = VL_LBP(IM, CELLSIZE) computes the Local Binary Pattern (LBP)
% features for image I.
%
% IM is divided in cells of size CELLSIZE. F is a three-dimensional
% array containing one histograms of quantized LBP features per
% cell. The witdh of F is FLOOR(WIDTH/CELLSIZE), wher... |
07d1834a863672acc4146b4f1824a0ab4193a5ebcc2c9adab2149206e8fab655 | MATLAB | 732 | 32 | % mglHFlip.m
%
% $Id$
% usage: mglHFlip()
% by: justin gardner
% date: 09/06/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: flips coordinate frame horizontally, useful for when
% the display is viewed through a mirror
% e.g.:
%
%mg... |
60a48963574ea753c99e4e4c3f362ccb7a216d34f9c63cf4333205d840eb4ff2 | MATLAB | 732 | 13 | function Tracks = BehavioralTransitionToBehavioralAnnotation(Tracks)
%Add Tracks with BehavioralTransition field with BehavioralAnnotation Field
for track_index = 1:length(Tracks)
behavioral_annotaiton = zeros(1, length(Tracks(track_index).Frames));
for transtion_index = 1:size(Tracks(track_index).Beh... |
02b65ddcc55d819720d5be7fb80d2e003a242e651ec77d3d1e126ad96dff25b4 | MATLAB | 733 | 21 | function [comment]=SONGetChanComment(fh, chan)
% SONGETCHANCOMMENT returns the comment string for the specified channel
%
% COMMENT=SONGETCHANCOMMENT(FH, CHAN)
% FH SON file handle
% CHAN Channel number (0 to SONMAXCHANS-1)
% Returns the channel comment as a string.
%
... |
755f37bbf7c35da889333cd11c2e1fdc124fd1f6ff79edbb78a0d70551509c5c | MATLAB | 733 | 18 | function display_volume_fields(temp, th1, th2, levels, a, b, flag)
% Volume field graphics: plot a field quantity temp in the observation
% plane using a planar contour plot. Revision 071318
%
% temp - quantity to plot
% th1, th2 - two threshold levels introduced manually
% levels - number of levels in... |
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