sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
8d7afd9dbaff6aac3194d8788cffdd8422ca89a9a0d43f4fac166520f4f07a86 | MATLAB | 642 | 27 | function [Dmat] = JaccardDist_2(M1,M2)
N1 = size(M1,2);
N2 = size(M2,2);
% M1 = sparse(reshape(M1,[],N1));
% M2 = sparse(reshape(M2,[],N2));
% A1 = M1'*M1; a1 = repmat(diag(A1),1,N2);
% A2 = M2'*M2; a2 = repmat(diag(A2)',N1,1);
a1=repmat(sum(M1,1)',1,N2);
a2=repmat(sum(M2,1),N1,1);
intersectMat = M1'*M2;
unionMat =... |
b7e25a257cca93e9dd104604c6dcd80f6d5c353e50d426d393f352f4be304c6f | MATLAB | 642 | 26 | function [] = om_save_tri(filename,points,faces,nrmls)
% OM_SAVE_TRI Save .tri file
%
% SYNTAX
% [] = OM_SAVE_TRI(FILENAME,POINTS,FACES,NORMALS)
%
% Created by Alexandre Gramfort on 2008-03-09.
% Copyright (c) 2007 Alexandre Gramfort. All rights reserved.
if nargin<4 || isempty(nrmls)
nrmls = om_nor... |
e615a8614c6f2939ad912440ae7dc6cdd765d95369d169fa60d9f5c05aa19136 | MATLAB | 642 | 17 | function [task myscreen] = mglEyelinkCallbackStartSegment(task, myscreen)
% mglEyelinkCallbackStartSegment -
%
% Usage: mglEyelinkCallbackStartSegment(task, myscreen)
% program: mglEyelinkCallbackStartSegment.m
% by: eric dewitt
% date: 04/03/06
% copyright: (c) 2009,2006 Eric DeWitt, Justin Gard... |
a98fd3f0a8bcf83ca64fcaddbdcf2baefaeb2762c43d01dea07400b02c17b908 | MATLAB | 643 | 26 |
function mask_data=load_mask_from_ds_info(mask_data_info, img_idx)
mask_file=mask_data_info.mask_files{img_idx};
assert(~isempty(mask_file));
one_data_dir_idx=mask_data_info.data_dir_idxes_mask(img_idx);
one_data_dir=mask_data_info.data_dirs{one_data_dir_idx};
full_mask_file=fullfile(o... |
40cb655b4d6ca9e6829dfadd74b01c4435f2534a11d368f99b69baf0094526ca | MATLAB | 645 | 15 | % mglEyelinkIsConnected - Checks the connection to the EyeLink computer.
%
% program: mglEyelinkIsConnected.m
% by: Christopher Broussard
% date: 01/22/10
% copyright: (c) 2009,2006 Eric DeWitt, Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Checks the connection to the EyeLink ... |
872b3829b004eefc21a487c227f749a7ba2d72468b96310030f25bff1e65f91e | MATLAB | 645 | 22 | function [finalImage, infoImage] = tifread(fileTif,subImages)
%Tifread - FileTif is a string specifying file location,
%subimages is len2 vector specifying start and end images (default all)
infoImage=imfinfo(fileTif);
mImage=infoImage(1).Width;
nImage=infoImage(1).Height;
if nargin < 2
subImages = [1 length(infoIm... |
8a0ea1540e76caec6e2a7a34aadd2ee9e96cd538e61f8f54cc67a690e6a4927a | MATLAB | 645 | 21 | function [ROI] = createROI(roi_width, roi_height)
%CREATEROI Generates a Nx2 matrix of perimeter points of the ROI
% This function facilitates making a rectangular ROI. Bottom left corner
% of ROI is 0,0. If only one input is provided, then a square ROI is
% generated. Values are in mm.
switch nargin
case ... |
a43bb7ffc8d122a072ec89dae8818f5a7846e51dfcd8e134234152c9fee43052 | MATLAB | 645 | 15 | function [cellRegisteredStruct] = ml_cai_io_load_cellregisteredstruct(cellRegFolder)
% This loads a file starting with 'cellRegistered' that is created by
% the CellReg MATLAB code. If there is more than one such file in the
% folder, an error is created.
fileList = dir(fullfile(cellRegFolder, 'cel... |
751a9b68141a10f119904d92d4aaa1c690de987e50b1773c7a3a6945db3fa9ff | MATLAB | 647 | 16 | function filterdata=filter_param(data,low,high,sampleRate,filterorder)
% Filter data
% Input£º
% data the raw EEG data to be filtered
% low High pass filtering parameter settings
% high Low pass filtering parameter settings
% sampleRate the sampling f... |
40fd516263e264b1709168aa1f0f87dfb736cb7cacc35790bd7a29b1b6931569 | MATLAB | 648 | 29 | function totFreq = computeFrequencyGaborArray(gaborBank, plotta)
%init
gb_ex = gaborBank(end).even;
totFreq = zeros(size(gb_ex,1), size(gb_ex,2));
%compute spectrum of each filter
%all frequencies covered by fixed gabor bank
for v = 1 : numel(gaborBank)
gbResize = imresize(gaborBank(v).even, [size(gb_ex,1) s... |
52b93e9632f7d91a561b108180a3da918c84a03cd9aa2e915b3a458e4d7089a4 | MATLAB | 648 | 29 | function [goodCycles, goodCS, z] = t2t_NOcsNOcs(csTimes, cycleMat_cs, z)
%% Find Good Cycles/Trials
% Condition 1: NO cs in 0-1000ms
z.csWindow_bad = 1:(z.sr_e * 1);
conds(:,1) = ~any(cycleMat_cs(:,z.csWindow_bad),2);
% Condition 2: NO cs in 0-1000ms of next cycle
conds(:,2) = [conds(2:end,1); 0];
disp(find(~any(~c... |
56bcb33a9c1e84338108a0d1ad0d2b94b46f1b348ebf6e865cfa7c50301d40a5 | MATLAB | 648 | 27 | %
% Compute the Kolmogorov--Smirnov distance between a given sample and
% a given continuous distribution.
%
% PARAMETERS
% x (n*1) The sample
% F @(x)(P(<=x)) The cumulative distribution function;
% this function must take as input a vector of values,
% and return a vector of the same size containing, for
% each x... |
a61e3e5973ecc7c751e2a2c0c41b4c408a53b8249b8f98d35794c5059b5b91c9 | MATLAB | 648 | 16 | function [ ] = bemf1_graphics_coil_wire(strcoil, color)
% Coil 2D/3D plot with several options
% type = 0 for a 3D plot
% type = 1 for a planar plot in the coronal plane (XZ)
% type = 2 for a planar plot in the sagittal plane(YZ)
% type = 3 for a planar plot in the transverse plane(XY)
% color = 'g': ... |
b48d7ad67cf6ff0b9c91a1b30b0592152ebebf30f23dfa93c4d6e1e0aac74515 | MATLAB | 648 | 22 | function sorted_path=sort_RS_GUI_environments(defined_path)
path_contents=dir(defined_path);
nn=size(path_contents,1);
ix_ls=zeros(nn,1);
sorted_path=cell(nn,1);
for ii=1:nn
% filename=[path_contents(ii).folder filesep path_contents(ii).name];
filename=[path_contents(ii).name];
[restnumstarts,restnumends]... |
3ca383a3b9d99a0bad3b8b5be473e0495408887a35c5711a23ae0d0bc1e0decf | MATLAB | 649 | 11 | function [personal_feat, enviro_feat, relative_feat, personal_units, enviro_units, relative_units] = flytracker_jaaba_features_and_units()
% names of features to be computed
personal_feat = {'vel','ang_vel','min_wing_ang','max_wing_ang',...
'mean_wing_length','axis_ratio','fg_body_ratio','c... |
46acfc86fae7ed92bcf18a17cfe74d1b3b361e9eb0efa3e71a2302752d5d00be | MATLAB | 649 | 20 | %set the filename identifier
Identifiers = {'AAzst1avir.N02.*.HEAD', 'AAzst1avir.N05.*.HEAD'}; %Modify here
[err, ErrMessage, List] = zglobb (Identifiers);
%loop across all Bricks found
Nel = length(List);
for (i=1:1:Nel),
Input = List(i).name;
fprintf(1,'\nNow processing: %s ...', Input);
[ans, I_Prefix, View] = ... |
6b3027da21a0a3776f98d9370b5276454194d1d05b9c2d7838d1bd13e3560218 | MATLAB | 650 | 18 | function s = char(tree)
% XMLTREE/CHAR Converter function from XMLTree to a description string
% FORMAT s = char(tree)
%
% tree - XMLTree object
% s - a description string of an XMLTree
%__________________________________________________________________________
%
% Return a string describing the XMLTree:
% ... |
b9f82e0833567a9655dbeb114eaf56c15e247bf114cb44a740063c7b0fee9915 | MATLAB | 650 | 22 | function I = vl_imreadgray(file,varargin)
% VL_IMREADGRAY Reads an image as gray-scale
% I=VL_IMREADGRAY(FILE) reads the image from file FILE and converts the
% result to a gray scale image (DOUBLE storage class ranging in
% [0,1]).
%
% VL_IMREADGRAY(FILE,FMT) specifies the file format FMT (see IMREAD()).
%
% ... |
f7575e39c31e5a9888b727329d6fed7354f2a3b27dd8956fcc3471e3eb20a9ab | MATLAB | 650 | 20 | function [task myscreen] = mglEyelinkCallbackTrialEnd(task, myscreen)
% mglEyelinkCallbackTrialEnd -
%
% Usage: mglEyelinkCallbackTrialEnd(task, myscreen)
% program: mglEyelinkCallbackTrialEnd.m
% by: eric dewitt
% date: 04/03/06
% copyright: (c) 2009,2006 Eric DeWitt, Justin Gardner, Jonas Larss... |
390e50d6bb74334cf8528cac738f1a7b16c72051fdb0d966673f7a2258444fba | MATLAB | 651 | 36 | D = dir;
numtests = 0;
results = [];
for di = 1:length(D)
f = D(di);
if f.isdir
continue;
end
[pathstr,name,ext] = fileparts(f.name);
if ~strcmp(ext,'.m')
continue
end;
if strcmp('rtest_all.m', f.name)
continue;
end
if strmatch('rtest',f.name)
... |
8018151234b600f1881331c8962c89a141eaccbf61776183b80ec6b6783ba9b6 | MATLAB | 651 | 26 | function [svec,dshuff,rpIx,isi] = shuffle_isi_delta(dvec)
% shuffles the delta vec
% zero regions pre-first/post-final spike left as is
% 6/6/22 updating to < 2 (either 0 or 1 spk would crash otherwise)
if nnz(dvec) < 2
svec = dvec;
warning('< 2 spikes in delta vec, not shuffling')
return;
end
ixSpk = fin... |
2f655b9961d4a45b015cd6d4f6cf2d876866811eb7bd3760f8b048e41211f284 | MATLAB | 652 | 24 | function [pth,nam,ext,num] = spm_fileparts(fname)
% Like fileparts, but separates off a comma separated list at the end
% FORMAT [pth,nam,ext,num] = spm_fileparts(fname)
% fname - original filename
% pth - path
% nam - filename
% ext - extension
% num - comma separated list of values
%
%________________________... |
9e1ed70f227df97f4d4a072775b2a62108cb46ebcd7dbc16ed1dafd8b7307d61 | MATLAB | 652 | 33 | %
% Analyse runtime.
%
% OUTPUT
% dat/runtime
% plot/runtime.eps
%
% INPUT
% tmp.runtime
%
a = load('tmp.runtime')
% regression
c = [-log(a(:,1))]
d = [ones(size(a,1),1) log(a(:,2) + a(:,3)) log(a(:,4)) log(a(:,2) .* a(:,3))]
x = pinv(d) * c
kp = exp(- d * x);
[a(:,1) kp]
% curve fitting
b = [a(:,1) ((a(... |
e2c5312a3f92f039250b7aff2d1b8afff21e3fed51a4e6041131f350934f449b | MATLAB | 652 | 25 | function Fimgdisp_all = computeAverageSpectrum(imagesCellTrain, plotta)
%freq
Fimgdisp_all = zeros(size(imagesCellTrain{1}));
for l = 1 : numel(imagesCellTrain)
img = imagesCellTrain{l};
% figure
% imshow(img,[]);
% title('Palm')
Fimg = fft2... |
486afb5c52222da7b8ab9b7d08f1f7a3634fa2fc37568b38e6a8a7827e6e56f0 | MATLAB | 653 | 26 |
function class_info=gen_class_info_cityscapes()
class_info=[];
class_info.class_names={'road', 'sidewalk', 'building', 'wall', 'fence', 'pole', 'trafficlight',...
'trafficsign', 'vegetation', 'terrain', 'sky', 'person', 'rider', 'car', ...
'truck', 'bus', 'train', 'motorcycle', 'bicycle', 'void'};
class... |
841a3ea6f5e1a14e19c6957def919732264e003687153cd2766b56f9b265b4d1 | MATLAB | 653 | 28 | function diag_hist(X,max_val)
a=max_val*sqrt(2)/2;
b=a/sqrt(2)+0.005;
% rotation matrix
phi = -pi/4;
R = [cos(phi),-sin(phi);sin(phi),cos(phi)];
h=histogram(X,-a:0.001:a,'Normalization','probability','Visible','off');
% rotate and traslate datapoints
scaley=0.01;
tmpy=reshape([h.Values*scaley;h.Values*scaley],[],1)... |
cef55c5b125c26bf3dcfb84cbcd23e5a4e1f9163a9825828d39c497446caf745 | MATLAB | 653 | 47 | clear;
N=1000;
k=35;
p=4;
xx = linspace(-1,1,100);
yy = VMFMeanDirDensity(xx,k,p);
yy = yy/sum(yy(:));
[t] = randVMFMeanDir(N, k, p);
h=hist(t, xx);
h = h/sum(h(:));
figure;
plot(xx, h, 'b');
hold on;
plot(xx,yy, 'r');
N=1000;
k=5;
p=4;
xx = linspace(-1,1,100);
yy = VMFMeanDirDensity(xx,k,p);
yy = yy/sum(yy(:));
[... |
67307ff2b20cdc574b751fd506ed2e57b7c6b1ada6b4a5c6f4dd42b66291eaaa | MATLAB | 654 | 24 | function fimg = smvfilter(img, radius)
% spherical mean filter averaging on img, with
%
%% Author: Xu Li
% Affiliation: Radiology @ JHU
% Email address: xuli@mri.jhu.edu
N = size(img);
% spherical kernel
kernelsize = 2*radius + 1;
[x, y, z] = meshgrid(-radius:radius, -radius:radius, -radius:radius);
kernel = sqrt((... |
b2ab8a0a1a3824887302d980c369761167c97f3eb3625e9d926e457deec3e618 | MATLAB | 654 | 30 | clear;
mu = [0,0,1];
k=35;
N=1000;
[RandVMF] = randVMF(N, mu, k);
figure;
scatter3(RandVMF(:,1), RandVMF(:,2), RandVMF(:,3),3, 'b', 'filled'), axis([-1 1 -1 1 -1 1]);
mu = [0,0,1];
k=500;
N=1000;
[RandVMF] = randVMF(N, mu, k);
figure;
scatter3(RandVMF(:,1), RandVMF(:,2), RandVMF(:,3),3, 'b', 'filled'), axis([-1 1 -1... |
5fb7146bbdadf6bedd01a4c49a52db913a3895c4e33e3bb000eddebbc5b40aed | MATLAB | 655 | 32 | function b = subsref(ipd,index)
% INPLACE/SUBSREF Support Matlab subscript references.
%
% This function supports subscript references just like Matlab matrices.
%
% Example:
% ipa = inplace(cumsum(ones(5,1)));
% ipa([2 4])
% ipa(3:end)
if (length(index) > 1)
error('Indexing operation not supported');... |
df5fa34402869adbbe26b36f754592cf31a8747e7f12a27409bb8d88b27b0ef2 | MATLAB | 655 | 23 | function code_name = problem_code_lookup(code)
% looks up the problem given code
switch code
case 0
code_name = 'no error';
case 1
code_name = 'head/tail flip';
case 2
code_name = 'image score low';
case 3
code_name = 'centerline ou... |
30f88c4b6159b0f26d3fb7ea053d80c4e2942059da981348ccd0dd6e28e36d84 | MATLAB | 656 | 15 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [T] = add_registered_cell_names_to_table(T, CellRegTable)
% Add the registered cell names to each of the cells
registeredCellNames = cell(size(T,1),1);
for iRow = 1:size(T,1)
cellName = T.cellName{iRow};
... |
52ceef31dd59d2b23214d178d56a263d39bcb347ef32a270160e6a3a36b5ea41 | MATLAB | 656 | 19 | % mglDrawImage
%
% $Id: mglDrawImage.m
% usage: mglDrawImage(pixelData, centerPx)
% by: Christopher Broussard
% date: 06/08/2008
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Mex function to take draw an RGB image.
%
% pixelData: A MxNx3 RGB m... |
72f470cf069b8017f49d4aade5549e4dfaab296da6c98779e4eeacb76bbd57c8 | MATLAB | 656 | 23 | % In this function, you can define like a global variable Matlab data
% If you define global variables, remember declaring these variables in the corresponding
% matlab objective function.
function [e]=initParametersPE(E)
global texp yexp
texp= [0 1230 3060 4920 7800 10680 15030 22620 36420];
% Distribution of spe... |
8d1b9e2a3c9dfd4900aa6d24ce0437ef14828c084622893bce3ec0c86a261f38 | MATLAB | 656 | 26 | function ml_plot_matrix_traces(x, traceMatrix)
% Each row of the traceMatrix should be the trace of a single cell.
numNeurons = size(traceMatrix,1);
numTimeSamples = size(traceMatrix,2);
for iNeuron = 1:numNeurons
%x = 1:numTimeSamples;
y = traceMatrix(iNeuron,:);
%av_neuron = av{iNeuron};
% y = zeros... |
afbf105a15dcbc1a5db2500471ef2d2fb3dd8fd397e4b4cd7b12ae029cdaf6c8 | MATLAB | 657 | 18 | function fh=SONCreateFile(filename, nChan, extra)
% SONCREATEFILE creates a new SON file
% FH=SONCREATEFILE(FILNAME, NCHANS, EXTRA)
% FILENAME = string wiht file and path
% NCHAN = number of channels 32 to 256
% EXTRA = number of bytes to reserve for user specified data
% a... |
0dcdc795aa588925c3652ec8eb6f21a4950250b2a7f1dc14cb65d365dbc41710 | MATLAB | 658 | 28 | function h = vl_cf(h0)
% VL_CF Creates a copy of a figure
% VL_CF() creates a copy of the current figure and returns VL_CF(H0)
% creates a copy of the figure(s) whose handle is H0. H =
% VL_CF(...) returns the handles of the copies.
%
% See also: VL_HELP().
% Authors: Andrea Vedaldi
% Copyright (C) 2007-12 A... |
1224a4669dcd1300a7174fa1965de4bb9e0e1654b633c5cfe4931262013d5b23 | MATLAB | 658 | 42 | function [] = matchYLims(goArr,scfrac,minfix,maxfix)
%matchYLims 3/4/21
sz = size(goArr);
if sz(2) > sz(1)
goArr = goArr';
end
ylArr = cell2mat(arrayfun(@(x) x.YLim,goArr,'UniformOutput',false));
if isempty(minfix)
ymin = min(ylArr(:,1));
else
ymin = minfix;
end
if isempty(maxfix)
ymax = max(ylArr(... |
83ba8bde3b766df84ce51c5bbfe7bbc59639a3dd4f9ec10026e78db7720172f8 | MATLAB | 658 | 29 | % function f_IIRBiFilter.m
%
function v_FiltSig = ...
f_IIRBiFilter( ...
pv_Sig, ...
pv_H1, ...
pv_H2)
if nargin < 2
error('[f_IIRBiFilter] - ERROR: bad parameters!')
end
if size(pv_Sig, 1) == 1
pv_Sig = pv_Sig(:);
end
v_FiltSig = filter(pv_H1, pv_Sig);
v_... |
e6486c8c1aca28c7c313e1698081f027c8f62404a32f08f1e096f8884492fde7 | MATLAB | 658 | 22 | function display(tree)
% XMLTREE/DISPLAY Command window display of an XMLTree
% FORMAT display(tree)
%
% tree - XMLTree object
%__________________________________________________________________________
%
% This method is called when the semicolon is not used to terminate a
% statement which returns an XMLTree.
%_____... |
793f61047015e8451f180b4771b98bdfecf53204de9e2780acc8f482cd417796 | MATLAB | 659 | 22 | %
% 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... |
9b7974987120f279f8ee7af17ec1f4f4fe0dc7df338584da07143f11b6e1660a | MATLAB | 659 | 26 | function h=vis_brainsurf(facesl,vertsl,facesr,vertsr,yl,ttstr,meshsmooth)
if meshsmooth==1
vertsl=sms(vertsl,facesl,5,0.5);
vertsr=sms(vertsr,facesr,5,0.5);
end
h=figure('Position', [10 10 900 900])
trisurf(facesl,vertsl(:,2),vertsl(:,1),vertsl(:,3),'FaceColor',[0.85 0.8 0.75],'EdgeColor',[0.1 0.1 0.1],'Edge... |
f64076e1a94853eb10890c3ba8074f402ef75c4983822092523d106a2ae3a754 | MATLAB | 659 | 27 | % eyeCalib9.m
%
% $Id$
% usage: eyeCalib9.m()
% by: justin gardner
% date: 02/24/05
% copyright: (c) 2006 Justin Gardner (GPL see mgl/COPYING)
%
function retval = eyeCalib9(bkcolor)
if ~exist('bkcolor','var'),bkcolor = 'gray',end
% init the screen
myscreen.background = bkcolor;
myscreen = i... |
0c12daf792d3915a2caa0d2d267d9eae73c1b3f90cb8ca25bb7b897f41b9e9d3 | MATLAB | 660 | 18 | function handles = UpdateTable(handles, statustext )
%% Author: Jiri van Bergen
% Affiliation: Radiology @ JHU - Kirby Center
% Contact via xuli@mri.jhu.edu
% updated 2021-06-24, cluster version
% Update table with new status for this dataset
if isfield(handles.Params, 'cluster')
... |
82a28c0c2e950bb352840e6b59e30aa6a87e607001c93e5fafcc2fabc00f3090 | MATLAB | 660 | 26 | <<<<<<< HEAD
function [EER, index, eer_threshold] = computeEER_classic_minDiffFprFnr(fpr_mean, fnr_mean, scores)
diffV = abs(fpr_mean-fnr_mean);
index = find(diffV == min(diffV));
index = index(1);
EER = (fpr_mean(index) + fnr_mean(index) ) / 2;
if nargin > 2
eer_threshold = scores(index);
=======
function [EER... |
02087daf94cb1591d2683f35ee074b6a8a8dde211b4d239418a00b21c9d01731 | MATLAB | 661 | 19 | function meanLickProportion = lick_proportion(lick_vectors_cells_sound,lick_vectors_cells_No_sound)
for ii=1:size(lick_vectors_cells_sound,1)
Lick_Sound = nonzeros(lick_vectors_cells_sound(ii,:));
LickPercentSound(ii)=100*(length(Lick_Sound)/size(lick_vectors_cells_sound,2));
Lick_NoSound =... |
0a5114573fe3b7db51aee65d8cb79e27496a99c9304f8e85ee1846918fd77d25 | MATLAB | 661 | 23 | function plot_timeframe(data, name)
%PLOT_TIMEFRAME Summary of this function goes here
% Detailed explanation goes here
figure('Name', name);
hold on;
ylim([0, 1]);
ylabel 'absolute score of aoi'
xlabel 'time of frame in seconds'
leg = {};
colors = {'m', 'c', 'g', 'b', 'r', 'k'};
for i... |
644f07943a4084be5fce3c176d6519d33ed417d5ba0d44b63638b12b8105fcf5 | MATLAB | 661 | 13 | function [traceFilt, spikes, deconv_options] = ml_cai_deconvolve_cnmfe_raw_trace(deconv_options, traceRaw)
% traceRaw is supposed to be a single "RawTraces" from cnmfe.
% These were parameters that fit the data well for both
% the GCamp6f transfected mouse, and the transgenic mouse.
% deconv_option... |
764387efe3682b0770ed6b2f3ee513dc2728a351fa65ba706213b162dc1d2e4d | MATLAB | 662 | 21 |
% Augment features to be better suited for learning problems.
%
% To augment features, use:
%
% feat = feat_augment(feat)
%
% where:
%
% feat - feature structure, obtained from feat_compute
% (stored as *-feat.mat)
%
% Takes log of features that are lognormally distributed
% Normalizes features t... |
8524dc777995a13a0dda7507e417b61cfafacbf3cf7f44d7dfe6740885d17a65 | MATLAB | 662 | 27 | function [element_len, len_v] = perm_len(v)
%perm_len outputs a vector that is the element-wise permutation length of
%the input, v, assuming the input is a permutation of 1:length(v).
% [element_len, len_v] = perm_len(v)
% Input:
% v: an Nx1 vector describing the permutation 1:N -> v
% Output:
% elem... |
74aca45db32b3cf07fc76265560fc870ec420479d5be3dd47d438db2f7135c8b | MATLAB | 663 | 20 | % getSamplesNumber.m
function [samples] = getSamplesNumber(folder)
% created by Luca Leonardo Bologna (Summer 2006)
% modified by Valentina Pasquale (October 2007)
% getSamplesNumber looks for a .mat file into the input folder, opens it
% and extracts the number of samples of a peak train.
% Inputs: folder - generall... |
d4ccc878e0f23f6c2d9eda10c3752f6b3efaf198ec666e6b3f7594c422d21fbd | MATLAB | 663 | 44 | DEPRECATED:::
%
% Compute the size statistic of a network.
%
% PARAMETERS
% $network
%
% INPUT
% dat/info.$network
%
% OUTPUT
% dat/statistic.size.$network
%
network = getenv('network');
info = read_info(network);
consts = konect_consts();
if info.format == consts.BIP
values = [ info.n1 + info.n2 ; info.... |
f507b4b8002035b3a320a117a9d625c10a1a4644f0d5107d927e014fa7eab50f | MATLAB | 663 | 16 | function handles = fix_SwapEvents(handles,fly1,fly2,f0,f1)
% swap fly1 for fly2 in all suspicous sequences involving only one of them
% from frames f0 to f1
% splintered from fixerrorsgui 6/21/12 JAB
for i = 1:length(handles.seqs)
if min(handles.seqs(i).frames) < f0 || max(handles.seqs(i).frames) > f1,
continue;... |
f5e47beb959e623b2de377d60f4e97231d9402ca5c7e28d22123665cdb0ba7fc | MATLAB | 663 | 28 | function y=spcharout(x)
%SPCHAROUT replaces special character codes by their values
%
%Syntax y=spcharout(x)
%
%Description
% x is a character or 2D cell array of characters
% y is the corresponding version with special character codes
% '%ascii;' replaced by their values
%
%See also: spcharin
%
% Jonas Almei... |
4ddd4a7dd6fd1aecc3ec62c37e0409aac379328a4f5f1c58a2f28c493865c9e9 | MATLAB | 664 | 22 | function NS_RecordDisplay(app, displayH)
Group = app.Experiment.Groups(app.IDs.Group).Group;
Record = Group.Records(app.IDs.Record).Record;
IG = Record.Data.Source;
% if ~isempty(Param)
% BW = zeros(size(IG));
% BW(IG>=Param.MinIntensity) = 1;
% imagesc(BW, 'parent', displayH);
% else
imagesc(IG, 'pa... |
3388adb1cd9357aa2d7e6415ca83aef164262d2dc3d6a116a44cd878f856e466 | MATLAB | 666 | 11 | function [ behavior_timeseries ] = behavioral_space_to_behavior(behavioral_space_timeseries, watershed_labels, xx)
%This function annotates a time series in 2D behavioral space using the
%watershed map
watershed_xy_indecies = SpaceMapping(behavioral_space_timeseries,xx);
% use linear indexing
watershed_line... |
456912768547ffec8999acea4b7df3089a3c381fff01c358ee415178dada4fd7 | MATLAB | 666 | 24 | function vl_assert_almost_equal(x, y, varargin)
epsilon = 1e-6 ;
if length(varargin) > 0
if isnumeric(varargin{1})
epsilon = varargin{1} ;
varargin(1) = [] ;
end
end
assert(isequal(class(x), class(y)), varargin{:}) ;
assert(isequal(size(x), size(y)), varargin{:}) ;
if isstruct(x)
fx ... |
8ac5ee5efc19989c209625890e903f13bbbd83de3e3e1b2b7b4caee72bddb241 | MATLAB | 666 | 29 | % mglReplaceTilde.m
%
% $Id:$
% usage: filename = mglReplaceTilde(filename)
% by: justin gardner
% date: 12/07/11
% purpose: If filename starts with a tilde, will replace with
% fully qualified path (e.g. ~/uhm will become /Users/justin/uhm)
%
function filename = mglReplaceTil... |
cb65ce67068d51700cb08e539049c42c22e6225ece1d31b1cf1daf7af68d8b4f | MATLAB | 666 | 21 | function RealignRecordingUsingDredgeAndKilosort2point5(basepath,config_version,dredgeParams)
cd(basepath)
%% Config File
disp(['Running Kilosort with user specific settings ' config_version]);
config_string = str2func(['Kilosort25Configuration_' config_version]);
ops = config_string(dredgeParams);
%% GPU
gpuDeviceNum... |
024b6cfa07d90200e8ab3deae253bc6005980a609c3961f70d9b8bfe607a7207 | MATLAB | 667 | 17 | function outputArray = normTo1(inputArray, dim)
% normalize and add up to 1 along a specified dimension
% Ensure the input is a numeric array
assert(isnumeric(inputArray), 'Input must be a numeric array');
% Check if 'dim' argument was provided, if not, default to 1
if nargin < 2
dim = 1;
... |
130f46e4fda5c0e9615069f66ed5a68c8231e4058e3f3b74e951cf6f1be5931a | MATLAB | 667 | 24 | function [goodCycles, csLocs, z] = t2tAnalysis_csNOcs(z, p, cycleMat_cs, chunkLen)
% 300ms window
z.ssWindow_e = .3 * z.sr_e;
conds = [];
%% Condition 1: 1 cs in 200-1000ms
z.csWindow_good = (z.sr_e * .201):(z.cycleLen_e/2);
conds(:,1) = sum(cycleMat_cs(:,z.csWindow_good),2);
conds(:,1) = conds(:,1) == 1;
%% Condit... |
795b2c78f49dd877c80b93e7f2b91370024318c447d4b15300119b25b5737927 | MATLAB | 668 | 32 | % plotVarExpl.m
%
%
function plotVarExpl(kernels)
% get all fields in kernels struct (which kernels computed)
kernelFields = fieldnames(kernels);
numFields = length(kernelFields);
numROIs = length(kernels);
numElm = length(kernelFields)*length(kernels);
ind = 1:numElm;
... |
c706fa9693c711e784491040b79798a6b2633c96ef623414ee85a430a1254a3f | MATLAB | 668 | 9 | function tracker_job_features(output_feature_file_path, output_jaaba_folder_path, output_features_csv_folder_path, ...
input_video_file_name, input_tracking_file_name, calibration_file_name, ...
options)
% Recompute the features file, csv feature files, an... |
2b356bcd075d439371c394f393b4164a33bddd604e06bb598846b730c45457ab | MATLAB | 670 | 34 | % conclusions
%1. flat - plots the values of the bins, ignores the last
% interp - includes all bins, interpolate values
%xmat(isnan(xmat))=0;
xmat=[1 2 3 4;
1 2 3 4;
1 2 4 4;
4 3 2 1;
4 nan 2 1]
figure(2)
[LLy LLx]=size(xmat)
h=surf(xmat);
view(0,-90);
colormap('jet');
colorbar('Eas... |
94fa35095c1064cf8e722e3fd09bb175b50b8bd640b79ee1ebd0902faf20f8bb | MATLAB | 670 | 20 | close all
clear all
clc
folder = 'T:\Shamu_two_contexts_CA1\tetrodes\recordings\feature_poor\HGY1_CA1\s1';
nvtFullFilename = fullfile(folder, 'VT1.nvt');
%tFilename = fullfile(folder, 'TT5_6.t');
numBits = -1;
tFiles = dir(fullfile(folder, 'TT*.t'));
for iFile = 1:length(tFiles)
tFilename = fullfile(tFiles(iFile)... |
3d5d7befdb79d3ab265b79d8e615eeac78b6fb144aaf9136115a50bd04a35802 | MATLAB | 671 | 27 | function QualData = readQuality(Quality,CSCs)
% read Quality and generate QualData array
MAX_UNITS = 10; % per channel
MAX_ELECS = 16; % per channel
for ii=1:MAX_ELECS+2, %2 header rows
for jj=1:MAX_UNITS,
Qual(ii,jj) = {[]};
end
end
letters = ['ABCDEFGHIJKLMNOP'];
for jj=1:length(letters... |
2bf8dd56bd85020b2f68873c5eb430f477107e30928013c01de3006c41cd6634 | MATLAB | 672 | 28 | % convertBoutsToInd.m
%
% Helper function that takes in start and end times of bouts and a time
% vector and returns all indices of times that occur during that bout
%
% INPUTS:
% bouts - n by 2 matrix of start and end times of bouts (n bouts), 1st
% column is start time, 2nd is end time
% t - time vector fo... |
8204ba193de642f7274e816862438c7e26892ab697630ad9197b20a273d0ec24 | MATLAB | 673 | 47 | clear;
N=1000;
k=35;
p=4;
xx = linspace(-1,1,100);
yy = WatsonMeanDirDensity(xx,k,p);
yy = yy/sum(yy(:));
[t] = randWatsonMeanDir(N, k, p);
h=hist(t, xx);
h = h/sum(h(:));
figure;
plot(xx, h, 'b');
hold on;
plot(xx,yy, 'r');
N=1000;
k=5;
p=4;
xx = linspace(-1,1,100);
yy = WatsonMeanDirDensity(xx,k,p);
yy = yy/sum(... |
a4ad53929dc6a499ef69b5f686c9810d8061eaad033fb7ce46eaa4475a8acc41 | MATLAB | 673 | 23 | function images = findAllImagesInFolders(folderName,fileType,frontConstraint)
%finds all images within 'folderName' (recursively) whose names end in
%'fileType' and start with 'frontConstraint
if nargin==1
fileType = '.tiff';
end
if nargin < 3 || isempty(frontConstraint) == 1
frontCon... |
67ef87353f0a65ea9cd66bc5c10686eec6e13fff12867c805685f1eea7399271 | MATLAB | 674 | 17 | function blobs = BlobAddTextureHists(blobs, textureSpace, numBins, min, max)
% blobs = BlobAddWHists(blobs, textureSpace, numBins, min, max)
% adds textureHist fields to each blob
%
% blobs is a struct with blobs
% textureSpace is the image representation in texture.
% It is common to have an invariant texture... |
c7d744770b6f6dfcc893318275bebd1f929868585ccf6fc7f50310f1698cc44c | MATLAB | 674 | 28 |
function [run_config, runner_info] = refinenet_initialization(refinenetOpt)
warning('off', 'MATLAB:namelengthmaxexceeded');
rng('shuffle');
run_config=[];
if refinenetOpt.gpus, run_config.use_gpu=true;
else run_config.use_gpu=false;
end
% run_config.use_gpu=false;
run_config.gpu_idx=refinenetOpt.gpus;
run_config... |
d0e4fcd96dcdebedcc93cbfa110062ed546de38ae81c36d81ab414234eb350da | MATLAB | 674 | 20 |
function class_info=process_class_info(class_info)
class_label_values=class_info.class_label_values;
assert(isa(class_label_values, 'uint8'));
assert(isa(class_info.background_label_value, 'uint8'));
assert(isa(class_info.void_label_values, 'uint8'));
[~, ~, class_value_idxes]=unique(class_label_values);
class_info... |
304950fcc26d441e0b9b3118ee2ba1a152160f331123092ffa1d0a589f83342c | MATLAB | 675 | 27 | function extras = read_extras(fname)
% Read extra bits of information
%_______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: read_extras.m 8776 2013-11-14 09:04:48Z roboos $
extras = struct;
[pth,nam,ext] = fileparts(fname);
switc... |
6e9366bb99ff738d55dbfdb2f3b24712e28f52856b035db35c26861259803f47 | MATLAB | 675 | 19 | file_path = ''; % 图像文件夹路径
img_path_list = dir(strcat(file_path)); % dir 列出当前文件夹中的文件信息
img_num = length(img_path_list); % 获取图像总数量
fprintf('正在读取的图像为：\n');
for j= 1:img_num-1 % 逐一读取图像
if img_path_list(j).isdir==0
img_name = [file_path,'/',int2str(j),'.tif'];
pitch=imread(img_name);
% [im1]=rotate(j,pitch)... |
30f0d247b83ec051effb8430a7be1b4e5562037255a7628d1f8cce6643234a0f | MATLAB | 676 | 23 | function [scores index] = BoxBestOverlap(gtBoxes, testBoxes)
% [scores index] = BoxBestOverlap(gtBox, testBoxes)
%
% Get overlap scores (Pascal-wise) for testBoxes bounding boxes
%
% gtBoxes: Ground truth bounding boxes
% testBoxes: Test bounding boxes
%
% scores: ... |
95da41c55e3b55ca1a6b8ac2de6bec1dc5bf5afb7fd459fd4af8d01f42c41896 | MATLAB | 676 | 29 | function [im2,bb] = autocrop(im,bg)
%autocrops zeros from image
if nargin < 2
bg = 0;
end
try
imbin = (im>bg);
box = regionprops(imbin,'BoundingBox');
bb = round(box(1).BoundingBox);
bb(3) = bb(1)+bb(3);
bb(4) = bb(2)+bb(4);
if length(box)>=2
for i = 2:length(box)
bounds = round(box(i).Bounding... |
c22c7ac244357d3577286f3a3d2063ce1e5ae26578675a5cb265cd9d66e9c991 | MATLAB | 676 | 25 | function display(this)
% Display method for GIfTI objects
% FORMAT display(this)
% this - GIfTI object
%__________________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
% Guillaume Flandin
% $Id: display.m 8776 2013-11-14 09:04:48Z roboos $
disp... |
b8bec696402665f03f8bec685b03b5eeee078f5620df7b1f1c5d30a1f7e40261 | MATLAB | 677 | 19 | function df = effdf(ts1,ts2);
% This function calculates the effective degrees of freedom (df) based on the autocorrelation of two time series (ts1 and ts2).
% It implements the formula provided in the Pyper and Peterman (1998) paper.
ts1=ts1-mean(ts1);
ts2=ts2-mean(ts2);
N=length(ts1);
ac1=xcorr(ts1);
ac1=ac1/max... |
c9b7d9302116b1ccc64131680795d74147065cbbc31165f0daf0893d4df8c3f4 | MATLAB | 677 | 16 | function ml_cai_pipeline_execute_trial_tasks(pipeline_config_filename, experimentParentFolder, analysisParentFolder, tasks_filename, iSession, iTrial)
cfg = jsondecode(fileread(pipeline_config_filename));
tasks = jsondecode(fileread(tasks_filename));
%pipe = MLCalciumImagingPipeline(cfg, experimentParentFolder, analy... |
ec67703cdcbe65a1840fed02f33b61c4b3c4d6622faa6ea29a6500e0811c297f | MATLAB | 677 | 28 | function plot_allChanOverview(recData, segInfo, z)
figure('Position', [1 41 1920 1083]);
ephysPlot = tight_subplot(length(recData),1,[.03 .03],[.03 .03],[.03 .03]);
for j = 1:length(recData)
try
z.cycleLen_e = (recData(j).samplerate) * 1/expmtFreq;
z.startpt_e = 1;
[cycleMat, cycleMean... |
8211ea6d75c855145844bec415d36c77e4dcd567ece2c52c9c61c5ddafd4e05d | MATLAB | 678 | 27 | function open_in_imtool(DATA,ROI,AddInfo)
%
% This Aedes plugin opens the current slice in the imtool that comes with
% Matlab Image Processing Toolbox.
%
if AddInfo.isDataMixed
imdata = DATA{AddInfo.CurrentSlice}.FTDATA;
else
dt_ind = AddInfo.CurrentSlice;
if AddInfo.AxView==0 || AddInfo.AxView==1
imdata = DATA... |
8d77ba753672d74665b7d14aaea707ff2343b2e0d13a62a834d2d5c4ec457d0c | MATLAB | 678 | 28 | function C=clustering_coef_bu(G)
%CLUSTERING_COEF_BU Clustering coefficient
%
% C = clustering_coef_bu(A);
%
% The clustering coefficient is the fraction of triangles around a node
% (equiv. the fraction of node’s neighbors that neighbors of each other).
%
% Input: A, binary undirected connection ... |
f9c69b3de5ba6582d2e40bfb75b430a1deb050845f682c498233eba923058082 | MATLAB | 678 | 28 | function [raster] = interevent_raster(spk_t, start_event_t, end_event_t, start_offset, end_offset)
%interevent_raster.m
inbd = @(d,l,u) d(d>=l & d<u);
n_events = length(start_event_t);
assert(n_events == length(end_event_t),...
'start and end event vector lengths should match');
start_t = start_event_t + start_o... |
34f57feff3d7a155cc868ab25714fc1a03c41a95e83c4db59160624f322362ee | MATLAB | 679 | 30 | <<<<<<< HEAD
function [zeroFMR, zeroFNMR, iFMR , iFNMR] = computeZeroFMRFNMR(FMR, FNMR)
[zeroFMR, iFMR] = min(FNMR(find(FMR == 0)));
[zeroFNMR, iFNMR] = min(FMR(find(FNMR == 0)));
% correction on indexes
if isempty(zeroFMR)
zeroFMR = 1;
iFMR = 0;
end
if isempty(zeroFNMR)
zeroFNMR = 0;
iFNMR = 0;
====... |
7ca6c4dd1efa9b7d4345562e12ba34846ac4eacaed27068b856368c764258eb0 | MATLAB | 679 | 12 | function MSE = compare_predicted_and_actual_rates_MSE(predicted_rates, observed_events)
%computes the MSE to see how predictive our model is against the actual
%observed rates using poisson distribution; not used in paper
fps = 14;
dt = 1/(fps*60);
%observed_rates = double(observed_rates)*fps*60; % put it i... |
8984dabb0d76cb9b5234aaa6dfa4baeb98b03688a13adf28b3096a6627e9ad47 | MATLAB | 679 | 35 | function X = simdata_fa(params, N)
%
% X = simdata_fa(params, N)
%
% Generate fake data using FA model
%
% xDim: data dimensionality
% zDim: latent dimensionality
%
% INPUTS:
%
% params - structure containing FA parameters
% L (xDim x zDim)
% Ph (xDim x 1)
% mu (xDim x 1)
% N ... |
412c30d82629b2a331b0e43f25f0d6c6ce66a9ad388a76afa1068031d30656c6 | MATLAB | 680 | 22 |
function class_info=gen_class_info_voc()
class_info=[];
class_info.class_names = { 'background', 'aeroplane', 'bicycle', 'bird', 'boat', 'bottle', 'bus',...
'car', 'cat', 'chair', 'cow', 'diningtable','dog', 'horse',...
'motorbike', 'person', 'pottedplant', 'sheep', 'sofa', 'train', 'tvmonit... |
572a3f392f36cbb6f524baaa41fb4bce400ca100bc1594866acd30a7755205a4 | MATLAB | 680 | 22 | function [ neuron, numNeurons, numTimesamples ] = ml_cai_neuron_h5_read_timeseries(ndf)
% Reads a 'neuron.hdf5' file specified by the filename given in ndf
numNeurons = h5readatt(ndf, '/', 'num_neurons');
numTimesamples = h5readatt(ndf, '/', 'num_time_samples');
ndfFields = {'spatial_footprint', 'spikes', 'trace_filt... |
aca99752c0d87cd21db4253b0e43c3381fa8d45aa5765df6d5b3abb7bbebc591 | MATLAB | 680 | 18 | function cnmfe_to_neuron( obj, session, trial )
%Remove any previous results otherwise it requires user interaction
neuronFilename = fullfile(trial.getAnalysisDirectory(), 'neuron.hdf5');
if isfile(neuronFilename)
delete(neuronFilename);
if obj.isVerbose()
fprintf('Deleted file: %s\... |
c103578d3925e0ba1b5c14ba501808b7d09a2f2817ac00e988cc55c4ae055c91 | MATLAB | 680 | 23 | function nChan = getChanNumber(params)
% Function to get number of unique spatiotemporal channels (CST pRF model)
%
% nChan = getChanNumber(params)
%
% INPUTS
% params : (struct) pRF parameter struct, requires the field:
% params.analysis.combineNeuralChan
% if set to [1 2... |
0938b955ea71709a1bc8d8292b35ca9c6922251aa6b618b57bbe48d13ee322c4 | MATLAB | 681 | 26 | classdef MLSessionInterface < handle
% MLSessionInterface Interface for a session
% An interface for an experiment session
methods (Abstract)
getSessionRecord(obj);
getName(obj)
getDate(obj)
getNumTrials(obj)
% Return the ... |
8571325f0ef555fe694cce964e43d3a7392c0f2c19833e63e3fe0a442a85855f | MATLAB | 681 | 37 | function td = FlyTrackerClassifySex(trxfile,varargin)
[fracmale,dosave] = ...
myparse(varargin,...
'fracmale',.5,'dosave',true);
td = load(trxfile);
nflies = numel(td.trx);
nmale = round(fracmale*nflies);
nfemale = nflies - nmale;
if nmale == 0,
for i = 1:nflies,
td.trx(i).sex = 'F';
end
elseif nfemale ... |
be18b6b8a9d6059a9e6869fe43dd080ce016a7c958ad9c991470a8be4282d676 | MATLAB | 681 | 27 | function im = im2col_mean_removal(varargin)
%
NumInput = length(varargin);
InImg = varargin{1};
patchsize12 = varargin{2};
z = size(InImg,3);
im = cell(z,1);
if NumInput == 2
for i = 1:z
iim = im2colstep(InImg(:,:,i),patchsize12);
im{i} = bsxfun(@minus, iim, mean(iim))';
% iim = bsxfun(... |
96f216f455cb65c108a252d5c57c79461eed1a67cd4d3283458bffff73b1eb36 | MATLAB | 682 | 27 | function extras = read_extras(fname)
% Read extra bits of information
%_______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: privateread_extras.m 8776 2013-11-14 09:04:48Z roboos $
extras = struct;
[pth,nam,ext] = fileparts(fname)... |
cf3d84fd285e5d80fa40987eaf6601b01189d8d60b0d87257fc891018f7b30cc | MATLAB | 682 | 31 | function [data] = om_load_full(filename,format)
% LOAD_BIN Load full Matrix
%
% Load full Matrix
%
% SYNTAX
% [DATA] = OM_LOAD_FULL(FILENAME,FORMAT)
%
% FORMAT : can be 'ascii' or 'binary' (default)
%
% Created by Alexandre Gramfort on 2007-11-27.
% Copyright (c) 2007 Alexandre Gramfort. All righ... |
6393478656d8487752f9a6f22057f6e9a08b3c24260fbffe011110237db48fdb | MATLAB | 683 | 27 | classdef LabMetaData < types.core.NWBContainer & types.untyped.GroupClass
% LABMETADATA Lab-specific meta-data.
methods
function obj = LabMetaData(varargin)
% LABMETADATA Constructor for LabMetaData
obj = obj@types.core.NWBContainer(varargin{:});
if strcmp(class(obj), 'types.core.LabMetaD... |
b8f1b849b5237470f8d764ab586e446c4b6eb8de8974bde565928b901e4f0780 | MATLAB | 683 | 24 | function volume = embeddIntoFOV(data, validPixels, FOVsize, varargin)
%takes 2D array of Npixels x Time (e.g., a raster) and embedds in a 3d
%array of X x Y x Time
%input - the 2D array Npixels x Time
% - validPixels Npixels x 1 - list of pixels that correspond to the
% cortical area in XY space
%... |
d4414b5057052659c12493c910b408087eb6b95b19b8dfbfdc57b172e26fa6ae | MATLAB | 684 | 24 | function d = vl_numder(func, x, varargin)
% VL_NUMDER Numerical derivative
% D = VL_NUMDER(FUNC, X) computes the numerical derivative of the
% function FUNC at point X. X is a real array and is passed as first
% argument of FUNC.
%
% D = VL_NUMDER(FUNC, X, ARG1, ARG2, ...) passes ARG1, ARG2, ... as
% additi... |
d17bc23d9e2adb37db92ca8ba58499f727a71ec4bc8320b72b68d9382184a258 | MATLAB | 685 | 23 | function [cscFiles, numCscFiles] = ml_nlx_get_csc_filenames(recordingFolder)
files = dir( fullfile(recordingFolder, '*.ncs') );
numCscFiles = length(files);
cscFiles = [];
for iFile = 1:numCscFiles
cscFiles(iFile).full_filename = fullfile( files(iFile).folder, files(iFile).name );
... |
f836f35cbcdfdd0cd8fd3051d4204ad1764b8b7aef2dea13df3c4229e0d3b6ac | MATLAB | 685 | 24 |
% Inputs:
% spike_counts (n by m matrix with n number of pyramidal cells and m time bins in sleep)
% tbins (vector containing time bins in sleep)
% frametimes (cells containing beginning and end of sleep frames)
% Outputs:
% frame pair correlations for the population vector across sleep frame pairs
rate_vec=[]; %po... |
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