sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
7800f915a2c75caa1abb0b6a7400805b1c49251f12d56982668102e7e44194a0 | MATLAB | 1,707 | 51 | % findLayersToReplace(lgraph) finds the single classification layer and the
% preceding learnable (fully connected or convolutional) layer of the layer
% graph lgraph.
function [learnableLayer,classLayer] = findLayersToReplace(lgraph)
if ~isa(lgraph,'nnet.cnn.LayerGraph')
error('Argument must be a LayerGraph objec... |
b56be8935d8ca622a6ed928e8786dc8c62f7aadc5b898a1fe1d2524b2cb27dbd | MATLAB | 1,707 | 52 | function self = SplitClipData(self)
% varargin: trainClipT, validationClipT, testClipT
verboseLevl = self.VerboseLevel;
if verboseLevl > 0
fprintf('Loading network data...\n')
end
if verboseLevl > 0
fprintf(' - Splitting into train/validate/test splits\n')
end
isAnnot = self.ClipTable.Type == categorical(... |
1735ec06eefeee1bf4c470a8b1a8f9f84e3f2f9de6954fe6167f3f1190002f91 | MATLAB | 1,708 | 60 | function [ok,remind_row] = selectReminder_SanesLab(TRIALS,remind_row)
%[ok,remind_row] = selectReminder_SanesLab(TRIALS,remind_row)
%
%Custom function for SanesLab epsych
%
%This function is for instances when more than one reminder trial is
%specified. In these cases, the user is prompted to select one of the
%remi... |
285e376619a91ab0ca8af2d5fc4b926d3f617149e0d98b5a6ea2e9bf5ee4ecbb | MATLAB | 1,708 | 45 | function PlotAcrossSessions
close all
clc
figure(1)
%%%%%%%%%%%%%%%%%%%%%%%%
%---FLAGS---%
Xlabel = 'Absolute Day';
Ylabel = 'Lapse Rate';
xmin = 0;
xmax = 50;
ymin = 0;
ymax = 0.41;
%Lapse Rate%
HLavg = [0.35 0.21 0.13 0.07 0.05 0.04 0.07 0.16 0.02 0.05 0.03 0.04 0.03 0.05 0.04 0.03 0.04 0.03 0.24... |
70bd2a1c001132019a319b38c249ff44ff72b5beb1ff1dc7c047df6d997d90f1 | MATLAB | 1,710 | 37 | %% Plume prob cond 1 & 2 PCF TP 1 TP 2 TP 3
figure(108)
boxplot([PlumeProb_PCF_TP1_Cond1,PlumeProb_PCF_TP2_Cond1,PlumeProb_PCF_TP3_Cond1,PlumeProb_PCF_TP1_Cond2,PlumeProb_PCF_TP2_Cond2,PlumeProb_PCF_TP3_Cond2],'Labels',{'PCFTP1 Cond1','PCFTP2 Cond1','PCFTP3 Cond1', 'PCFTP1 Cond2', 'PCFTP2 Cond2','PCFTP3 Cond2'})
... |
cc208092bb94a309387fbe7adf3b675f75ac183823b32dbacc8e9b65fb3d4464 | MATLAB | 1,710 | 57 | function result = DB_UploadWaveData(tankname,blockname,eventname,data)
% result = DB_UploadWaveData(tankname,blockname,eventname)
% result = DB_UploadWaveData(tankname,blockname,eventname,data)
%
% Upload waveform data to a database. A connection to the database should
% already be established.
%
% data = data.... |
0c728a3ee8eaa9bcaf72e577a802db78789dafb796060ee18a9c1608bf23f797 | MATLAB | 1,714 | 41 | function pname = DB_GetProtocolName(protocol)
% pname = DB_GetProtocolName(protocol)
%
% Returns name of protocol (scalar) from MySQL database.
%
% If protocol does not exist, then the user will prompted to enter it into
% the database.
%
% *Requires mym
%
% DJS 2013
% look on db_util.protocol_types table
... |
5d6d0aa8c65bd8ed94949611152f891a21b00cb4891521f36bab8a53f239adac | MATLAB | 1,716 | 72 | function bt = get_btensors_from_bvec_bval(bvec, bval, bdelta)
% function get_btensor_from_bvec_bval(bvec, bval, bdelta)
%
% returns the b-tensors (in Voigt format) associated to the bvec, bval,
% and bdelta. If bdelta is not provided, it is assumed to be 1
% (LTE or Stejskal-Tanner experiments only)
%
% the im... |
55441c5c3b0f8869070d06d35eabc7c2be671417227c30eba9b470aa1dfdf474 | MATLAB | 1,717 | 63 | function disabledropdown_SanesLab(h,dev,module,param)
%disabledropdown_SanesLab(h,dev,module,param)
%
%Custom function for SanesLab epsych
%
%This function disables the dropdown button if the parameter is roved, or
%if the parameter tag does not exist in the circuit.
%
%Inputs:
% h: handles of dropdown menu
% dev: ... |
6bbc7667b1db02f8502813a2849b9d94cf7bde953c4a6bd5c994a0e331fb36e3 | MATLAB | 1,717 | 46 | function which = get_spike_indices(spikes, show )
% UltraMegaSort2000 by Hill DN, Mehta SB, & Kleinfeld D - 07/09/2010
%
% get_spike_indices - get the indices of the specified spikes
%
% Usage:
% which = get_spike_indices(spikes, show )
%
% Description:
% Gets the indices of a set of spikes in the spikes object. ... |
18c81674d693ef9449dfe7a7cd055b9c1ec7313c379ceaffea911775946a876b | MATLAB | 1,720 | 66 | function K_thresh = cp_cluster_Pthresh(xSPM, p_val)
%
% Function to find the cluster-size threshold (number of voxels) for a
% given (corrected) p-value.
%
% INPUT:
% - xSPM : structure available in the workspace when looking at SPM
% results
% -p_val : statistical threshold [.05 by default]
%
... |
7c7d46622dfe627f2849c7ee2111491e0a3e6663316a5f8b49a2de6a027880fb | MATLAB | 1,723 | 40 | function [freq, q, qLo, qUp, effRecrMean, effRecrLo, ...
effRecrUp, collRecrMean, collRecrLo, collRecrUp] = ...
propriosim_stim(t, targetRecr, targetFreq, recrNormIa, ...
recrNormIb, recrNormAlpha, recrNormII, recrNormIII, recrNormTouch, Q)
%PROPRIO_STIM Summary of this function goes here
% t 1 x iT
... |
c81a3a9c8bf8538cc2dfffbbd9b9c787b6df2c036d2ec43945e81d9f03f9013e | MATLAB | 1,723 | 42 | % PURPOSE: sets, or restores, the uicontrol defaults that MATLAB's dialogs use.
%
% FORMAT:
%
% erplab_dialogcolors(bgcolor) % set, before calling questdlg/msgbox
% erplab_dialogcolors(bgcolor, fgcolor) % set, with a specific text colour
% erplab_dialogcolors() % restore, immediately after
%... |
4ea2820f9d6f553de77c25e1c83e6c81c632f60dffa3ee59b6be852901a69740 | MATLAB | 1,726 | 71 | function decoder = train_LDA_iterative(cfg0, X, Y)
log = [];
log.cfg0 = cfg0;
A0 = Y(:, X==0);
A1 = Y(:, X==1);
m0 = mean(A0, 2);
m1 = mean(A1, 2);
m = 0.5*(m1 + m0);
numN = length(X);
numN0 = sum(X==0);
numN1 = sum(X==1);
numF = size(Y, 1);
A0 = A0 - repmat(m0, [1, numN0]);
A1 = A1 - repmat(m1, [1, numN1]);
A = ... |
e082bda5652a60c4d0adfc90974c57c376df835284b91177215e03f4d0d2d57a | MATLAB | 1,728 | 89 | function C = TrialFcn_CheckerFlip(C)
% C = TrialFcn_CheckerFlip(C)
%
% Flip checkerboard pattern.
%
% Uses the Psychtoolbox
%
% Daniel.Stolzberg@gmail.com 2015
persistent win w ScreenRect black white vbl
if C.tidx == 1
% Screen('Preference','SkipSyncTests', true);
win = 3;
w = Screen('OpenWindow'... |
3fd6ebac637f9cdb3048938807964b9e720d11da2237203ebfcb5b705a7a991d | MATLAB | 1,729 | 53 | function [a, dmatrix] = decodeDataXVal(data, audiovisuoCode, P)
dataA = getOrgData(data,audiovisuoCode,P); % dataA is bins x imp stim x unimp stim x comp x rep
s = size(dataA);
nBins = s(1);
nStimImp = s(2);
nStimUnImp = s(3);
nClu = s(4);
nRep = s(5);
[nfold,folds] = getFolds(s,P.fol... |
3d34442e4201f5d223d49a30ef01f93ad04f0faa7943e04b13b0c9d17877dbdc | MATLAB | 1,730 | 57 | function tpraw2text(rawfilename);
% TPRAW2TEXT - Convert a 2-photon raw .mat file to text
%
% TPRAW2TEXT(RAWFILENAME)
%
% Converts output from a TwoPhoton raw .mat file to text.
%
% 2 types of files are generated:
%
% The first is a header file named [RAWFILENAME 'hd.txt'] that has
% the names of the cells that... |
47860b8c8a810788e38e87729255714c528f19087dbe97f9aa69d25ef8adea2b | MATLAB | 1,730 | 49 | function [P,Rsq,yfit]=myPolyFit(X,Y,Powers,FitMethod)
% Polynomial fitting routine
%
% INPUTS:
% - X: independent variable
% - Y: dependent variable
% - Powers: order of the polynomial fit
% - FitMethod: allowed values: 1. 'NonNeg' - enforces positive
% polynomial coefficients. 2. 'Free' - a... |
4fb61cc08475a52e01886a705815e82373e6678004a2433444da3caf49d5c873 | MATLAB | 1,730 | 48 | function mappedX = diffusion_maps(X, no_dims, t, sigma)
%DIFFUSION_MAPS Runs the diffusion map algorithm
%
% mappedX = diffusion_maps(X, no_dims, t, sigma)
%
% The functions runs the diffusion map algorithm on dataset X to reduce it
% to dimensionality no_dims. The variable sigma is the variance of the Gaussian
% us... |
85407ab9fd0c282cd9b23bbd71321722892a3ed78e77503f2cf4116f5490b17e | MATLAB | 1,732 | 58 | function r = issubfield(s, f)
% ISSUBFIELD tests for the presence of a field in a structure just like the standard
% Matlab ISFIELD function, except that you can also specify nested fields
% using a '.' in the fieldname. The nesting can be arbitrary deep.
%
% Use as
% f = issubfield(s, 'fieldname')
% or as
% f = i... |
26a3b157e1b986de592ee9de30b403bba1d813930838abb8f45b6f5d1d6d6d28 | MATLAB | 1,736 | 51 | function panel = make_uipanel_on_grid( panel_pos, my_title, params, h,visibility)
% UltraMegaSort2000 by Hill DN, Mehta SB, & Kleinfeld D - 07/12/2010
%
% make_uipanel_on_grid - returns uipanel object with specified position
%
% Usage:
% panel = make_uipanel_on_grid( panel_pos, my_title, params, h,visibility)
%
% De... |
625be6a791230f11ad4d4fb6cedf8e2e381b4fb0849726512d995bff72defffc | MATLAB | 1,736 | 70 | function y = em_Liley(t, params)
he_rest=params(1);
hi_rest=params(2);
Nee_beta=params(3);
Nei_beta=params(4);
Nie_beta=params(5);
Nii_beta=params(6);
Gamma_e=params(7);
Gamma_i=params(8);
gamma_e=params(9);
gamma_i=params(10);
Tau_e=params(11);
Tau_i=params(12);
Se_max=params(13);
Si_max=params(14);
mu_... |
a9b52371c172beafe42b47cbb32f82f9369c0e96f86c8f868dd3c4db6a9f11de | MATLAB | 1,736 | 49 | % In the Dropbox folder, I put abbreviated movies from one experiment
% showing the difference between filtering and not filtering.
% 'exp5d1B_raw' is the unfiltered (raw) version (made of 'M0's, below);
% 'exp5d1_hpf' is the filtered version. A single image could be created with
% the code below: change 't000XXX' t... |
327f50f883e215220d45e3f04bbbe43693bad06f343e947f2ad8b467a88f2e49 | MATLAB | 1,738 | 46 | %% Source parcellation
atlas = load('scout_Desikan-Killiany_68_template.mat'); atag = 'DK';
cd(bsdir);
Pa_04 = do_sourceparcel(sFiles_4,atlas,bsdir);
Pa_08 = do_sourceparcel(sFiles_8,atlas,bsdir);
Pa_16 = do_sourceparcel(sFiles_16,atlas,bsdir);
Pa_32 = do_sourceparcel(sFiles_32,atlas,bsdir);
clc,[roiid_04,m_04,idx_04... |
4b21d2ea8aa46e203c43a8b97e1ea7e9bb942a5cf8a2ceba12ccab8a99de558e | MATLAB | 1,740 | 64 | function [L,D]= mchol(G)
% function mchol(G)
%
% returns the modified cholesky representation of a matrix G
%
% the implementation follows the steps of the algorithm at page 111 of
% "Practical Optimization" 1982
% by Philip E. Gill, Walter Murray, and Margareth H. Wright
% ...
% MC1 [Compute the boun... |
7d1b2bf85a08d253e896983bb5ff0a3a1acf331465fc7c7764e97184d4def2c5 | MATLAB | 1,740 | 51 | util.clearAll;
% stimuli
outdir = fullfile(util.get_paths().figs,'full_matrix');
util.mkdir(outdir)
%% load the data and combine betas
% Get the beta tables from matfiles
taste_str = util.str.taste_strings();
beta_tables_taste = ...
cellfun(@connect.read_matfiles_taste, taste_str, ...
'UniformOutput', false);
... |
7bf3b6b8459d08e2503bedae330f38cba27918f2cf2d63b28ba6fd9487831c68 | MATLAB | 1,741 | 51 | %% The screen's bounds in an OH/OHA/TOH/TOHA trial
% A useful container for passing the four-tuple of screen bounds around.
% Copyright (C) 2022 Richard Hugh Moulton
%
% 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
% th... |
e13428d607382471b445df50aa1e4d467895018c46f9daff9c088dca103c5c70 | MATLAB | 1,741 | 64 | close all; clear all;
gt_dir = '/path/to/refinenet/datasets/EgoHands/SegmentationClass/test';
pred_dir = '/path/to/refinenet/cache_data/EgoHands/';
im_dir = '/path/to/refinenet/datasets/EgoHands';
dir1 = dir(fullfile(gt_dir));
%remove '.' and '..' from directories
dir1=dir1(~ismember({dir1.name},{'.','..'}));
idx = ... |
0b34ab606f758fb055a6ea0f98f56e70e649058d88f24a9c08070b5cfb5bcd7f | MATLAB | 1,743 | 63 | function [IND,Genes,Genes_compressed] = findActivatedPoints(Data,classes,inputSize,net,netName,layerName,Dmat,Threshold,FIG,Sample)
im = Data.XTrain(:,:,:,Sample); %cat(3,Data.XTrain(:,:,:,Sample),Data.XTrain(:,:,:,Sample),Data.XTrain(:,:,:,Sample));%imread('ngc6543a.jpg');
imResized = imresize(im,[inputSize(1),inputS... |
276bec40c7e3b3827a2a7fabcdd9ea0779cd1846f7bb72badef10d277cc4ceb0 | MATLAB | 1,746 | 59 | function [km] = SStat_KM(z,d,t,ptype)
% [km] = SStat_KM(z,d,t,ptype)
%
% Kaplan-Meier curves estimation and plot.
%
% Input
% z: Discrete covariate (mx1, m # of subjects) with the strata categories.
% d: Logical vector (mx1) indicating censorship status (1 if the subject got
% the failure event or 0 otherwise).
% t: V... |
fab0238ca6b2819723fe02a9a03e52796174260183d924fc3a8bec1007a9545d | MATLAB | 1,748 | 46 | function map = jetm(n)
% UltraMegaSort2000 by Hill DN, Mehta SB, & Kleinfeld D - 07/12/2010
%
% jetm - Muted jet colormap.
%
% Usage:
% map = jetm(n)
%
% Description:
% JETM(N), a variant of JET(N), is an N-by-3 matrix containing a muted
% version of the JET colormap. JETM with no arguments is the same
% ... |
04dd025cef140793dad1f76d60e5d7ea0a89046208e8f01641b1e3070a6a798c | MATLAB | 1,751 | 53 | function [z,r] = get_zvalues( w, covar, r )
% UltraMegaSort2000 by Hill DN, Mehta SB, & Kleinfeld D - 07/12/2010
%
% get_zvalues - calculate normalized mahalanobis distance of spikes
%
% Usage:
% [z,dof] = get_zvalues( w, covar, r )
%
% Description:
% Calculates the Mahalanobis distance of each waveform in w fr... |
16fd344bd20c0f970613cf6aa4c6ecf67ecb8d6e94bf2f535147114c27c1ece8 | MATLAB | 1,751 | 87 | function G = GellermannSeq(plot)
% G = GellermannSeq([plot])
%
% Generate a sequence of trials for a two-alternative task based on the
% rules outlined by Gellermann, L.W. Chance orders of alternatig stimuli in
% visual discrimination experiments. J. Gen. Psychol. 42: 206-208, 1933
%
% Optionally plot data
%
% Daniel.S... |
3b06f793108edca23ab07cd4146bb054750585e621f808e684894d1d6f071af7 | MATLAB | 1,753 | 55 | function plotcube(varargin)
% PLOTCUBE - Display a 3D-cube in the current axes
%
% PLOTCUBE(EDGES,ORIGIN,ALPHA,COLOR) displays a 3D-cube in the current axes
% with the following properties:
% * EDGES : 3-elements vector that defines the length of cube edges
% * ORIGIN: 3-elements vector that defines the s... |
97b139df46c6984821fa931ac9bb96869968b35190502aa8a23c904801d89bb1 | MATLAB | 1,753 | 46 | function [im,fcx,freqx,fcy,freqy] = prairieviewnoiseanalysis(filename, linesx, linesy, note)
% PRAIRIEVIEWNOISEANALSYS - Analyze noise in prairieview recording
%
% [IM,FCX,FREQX,FCY,FREQY] = PRAIRIEVIEWNOISEANALYSIS(FILENAME,LINESX,LINESY,NOTE)
%
% Performs fourier analysis on a Prairieview image file and plots the r... |
e9f21d672a64c05c5bb09b66f11e67320742cd2d88832a2686183bf117498477 | MATLAB | 1,753 | 55 | function raise_band (hObject, event, hndls)
% UltraMegaSort2000 by Hill DN, Mehta SB, & Kleinfeld D - 07/12/2010
%
% raise_band - callback to raise clicked patch to front of visibility
%
% Usage:
% raise_band (hObject, event, me)
%
% Description:
% Pulls the clicked object to the top of the ui stack; useful
% f... |
d698c8b18cb02d079544731e73506b65d0041a23128aac56fd4ab53746b2bfd8 | MATLAB | 1,755 | 65 | function res = grs2rgb(img, map)
%%Convert grayscale images to RGB using specified colormap.
% IMG is the grayscale image. Must be specified as a name of the image
% including the directory, or the matrix.
% MAP is the M-by-3 matrix of colors.
%
% RES = GRS2RGB(IMG) produces the RGB image RES from the grayscale ... |
e41fe6620a8e789e7ff22e4aefeaae7fafaa1b084e289372ae58d2a2e670c52d | MATLAB | 1,756 | 71 | function plot_sign_star(p, yMaxData, x0, orderRightToLeft, plotNS)
arguments
p,
yMaxData,
x0 = 1,
orderRightToLeft = true,
plotNS = false
end
% p is a triangular matrix
yl = ylim;
if isinf(yl(2))
yMax = yMaxData;
else
yMax = yl(2);
end
yr = yMax-yl(1);
if plotNS
[r, c]... |
ea218d4b5c4c8c75712445d5f03596659c527e3dd1950df6bdeeadc4d1139233 | MATLAB | 1,757 | 78 | % PURPOSE: subroutine for ploterpGUI.m
% Creates default X ticks for ERPLAB's plotting GUI
%
% FORMAT
%
% def = default_time_ticks(MVPC, trange)
%
% INPUTS
%
% MVPC - MVPCset
% trange - min and max MVPC window time in ms
%
% OUTPUT
%
% def - tick values to show in x axis
%
% *** This function is... |
a9ac277d4b3f5a42563fb326731072348e3f622af2cd5f45d1ec6c45906ef190 | MATLAB | 1,758 | 56 | function [all_pts, str_fn,labels] = get_TPs_config(p_small, plus_sessions)
% Gives the TPs for some configurations.
% To indicate sessions on the TP matrix
%
% Inputs
% p_small smallest TP considered
% plus_sessions in {0,1,2} with
% 0: sessions on a cross,
% ... |
514579b805c7445380a58da51bd5e397fd64711f46284f776f700d606e514d2d | MATLAB | 1,761 | 44 | %% Setup
util.clearAll;
cur_save_dir = fullfile(util.get_paths().figs,'ANOVA_correlations');
util.mkdir(cur_save_dir)
% Get the beta tables from matfiles
beta_tables_taste = util.load.all_taste_betas().sep;
beta_tbl = util.load.beta_table();
%% First do the anova for the taste betas themselves
G = findgroups(beta_tbl.... |
e1a58df280814f9b063a7c9367c408953b4bae35fc1b5863185ab1c3e95f7f15 | MATLAB | 1,763 | 82 | function [y,xf,cf,t] = ERBgram_largeFile_v2(x,fs,compress,lowfreq,numchan,smoothcut,resamplefactor)
% function [y,xf,cf] = ERBgram2(x,fs,compress,lowfreq,numchan,smoothcut,envcut,toPlot)
% Plots a gammatone filterbank output of signal x, plus marginal spectrum
% and envelope.
% fs: sampling frequency [default 44100]
% ... |
cba8d76c05e1156e333d0ba809e4f37ca0797a8cdd578dc433e022e4c598c5d0 | MATLAB | 1,771 | 77 | function [y,xf,cf,t] = ERBgram_largeFile(x,fs,compress,lowfreq,numchan,smoothcut,resamplefactor)
% function [y,xf,cf] = ERBgram2(x,fs,compress,lowfreq,numchan,smoothcut,envcut,toPlot)
% Plots a gammatone filterbank output of signal x, plus marginal spectrum
% and envelope.
% fs: sampling frequency [default 44100]
% com... |
332c7673211c6f031eee04255aa73853426a48ca4ac75a3926a8e88da2e92f76 | MATLAB | 1,774 | 63 | function [D0,phisq0] = lme_fit_init(X,Zcols,y,ni)
% [D0,phisq0] = lme_fit_init(X,Zcols,y,ni)
%
% Starting values for linear mixed-effects iterative estimation.
% These starting values are based on the ordinary least squares estimators.
%
% Input
% X: Ordered design Matrix (according to time for each subject).
% Zcols... |
965d2c2111492d708a1629581d647779fe722ccb57d9e56588d32c0637c22854 | MATLAB | 1,775 | 65 | function [DMR,Omega,Phi] = computeDMRparams(duration,Fs,omega,phi)
% [DMR,Omega,Phi] = computeDMRparams(duration,Fs,[omega],[phi])
%
% Compute the dynamic moving ripple
%
% Input:
% duration ... 1x1 scalar value with the intended duration of the
% signal.
% Fs ... 1x1 scala... |
e57634fbbe6b5af33fd76a8d1d9a0ea4b9256cb1f84ca1983e9c2a2e12faabca | MATLAB | 1,776 | 52 | function varargout = DB_GetSpikeWaveform(unit_id,conn)
% waveform = DB_GetSpikeWaveform(unit_id)
% [waveform,tvec] = DB_GetSpikeWaveform(unit_id)
% [waveform,tvec,stddev] = DB_GetSpikeWaveform(unit_id)
% [waveform,...] = DB_GetSpikeWaveform(unit_id,conn)
%
% Retrieve mean spike waveform from database.
%
% tvec is a tim... |
809373786b5090e846024115ad6c617c0b57f791043531543cbcf9b77bb399e5 | MATLAB | 1,777 | 55 | %% Create population level brain masks for ridge redression optimisation
% For ridge regression optimisation a population level grey matter and EPI
% masks are needed and they are calculated based on each subjects mask from
% preprosessing
%
% Population level EPI mask
% Only voxels where all subjects have signal a... |
74d0dc44cf1aa6e34e631e3e54bb74a220daae4ce87cda5c19efcdc86491ce7e | MATLAB | 1,778 | 56 | function expPath = getIOPath(config, ioChar, mode)
%GETEXPBASEPATH Uses the info in the config file to build the path to the experiment folder where the stimuli are
%
% We handle 'simulate' mode as follows:
% if we have a train subfolder, use that. Otherwise, check for test. Otherwise work in current folder
... |
0479866543f59ba85f96b9d23df91183fc58e5b5320657e7c600f51a975ab5f0 | MATLAB | 1,779 | 64 |
function reformat_tank_data_jy_externalHD(BLKS)
%reformat_tank_data
% Function to reformat and save ephys data from epsych program.
%
% Program prompts user to select TANK, then cycles through each BLOCK,
% calls TDT2mat (@DJS) to reformat tank data to a matlab struct, then
% saves as a -mat file in google ... |
644d4147dd03dc60a4f5a80bc1dfbb0f73083c755e9e504359069f7555be388b | MATLAB | 1,780 | 51 | %% clear all
close all;
clear;
outdir = fullfile(util.get_paths().figs, 'connectivity');
util.mkdir(outdir);
%% Load matfile data
% Taste and hemisphere combinations
taste = {'sour', 'salt', 'sweet'};
hemi_combos = {{'R', 'R'}};
matrix_type = {'full'};
num_taste = length(taste);
num_hemi_combos = length(hemi_combos);
... |
ed741c10a0628b53a9a6543df91054db4811ec06b84fc19a229c592cd80e10af | MATLAB | 1,780 | 37 | function plx_id = writeplxfilehdr(filename,freq,nch,npw,maxts)
pad256(1:256) = uint8(0);
% create the file and write the file header
plx_id = fopen(filename, 'w');
if plx_id == -1
error('Unable to open file "%s". Maybe it''s open in another program?',filename)
end
fwrite(plx_id, 1480936528, 'integer*4'); % 'P... |
653ed7a074f14ea4131eacebfdd3391a44b5caf857c942a1f225c9916f16fc6d | MATLAB | 1,781 | 69 | function varargout = DB_GetProtocol(block_id,add_unique)
% P = DB_GetProtocol(block_id,[add_unique])
% [column_names,data] = DB_GetProtocol(block_id);
%
% Retrieve protocol data for block_id (scalar integer) from the currently
% selected database.
%
% Optionally set add_unique to true (default = false) to return unique... |
c01696a2b01754a27c496b931198e5f6ca770ceab070bc2a533c56f77f5afa30 | MATLAB | 1,781 | 44 |
function Source_Signal=produceMultiplePulses(experimentType,source_signal,inter_trial_interval,nber_trials,sample_rate)
conditions=["V" "AV" "A"];
if strcmp(experimentType,'safety_testing')
nber_trials_perCondition=10;
for c=1:length(conditions)
if strcmp(conditions(c... |
b44bf971423d6e9c53b9548dcb56db66e6d206a45ad9bc11801ff487a8727c9a | MATLAB | 1,783 | 47 | function factor = find_scale_factor(nFibers)
%FIND_SCALE_FACTOR Summary of this function goes here
% Detailed explanation goes here
% Suppose that N fibers in the model (e.g. 1) are enough for perception,
% find the scale factor that makes experimental and model match
sumModel = 0;
sumExp = 0;
allPercepThr... |
80c6f592c36c8ca3aaa50900c9da59b063203a0c3e0706c71273c96739197180 | MATLAB | 1,786 | 30 | %-----------------------------------------------------------------------
% Job saved on 06-May-2022 15:19:55 by cfg_util (rev $Rev: 7345 $)
% spm SPM - SPM12 (7771)
% cfg_basicio BasicIO - Unknown
%-----------------------------------------------------------------------
clear matlabbatch
subjfolder = dir('F:\fMRI_QC\fm... |
79acbeebb1edec7b04b3e6ce9af00c8049e28125c7e803513daccc4c7a49ea80 | MATLAB | 1,787 | 61 | classdef global_log < handle
methods(Static)
function obj = get_instance(reset)
arguments
reset logical = false
end
persistent log_
if reset || isempty(log_)
show_date = true;
show_time = true;
... |
968abd94f4a1951f17f07fef50014075e4a60682d08c469ae947cc3a08aa435e | MATLAB | 1,790 | 74 | function closeGUI_SanesLab(hObject)
%closeGUI_SanesLab(hObject)
%
%Custom function for SanesLab epsych
%
%This function closes the GUI window
%
%Input:
% hObject: handle to GUI figure
%
%Written by ML Caras 7.28.2016. Updated 4.21.17.
global RUNTIME PUMPHANDLE GLogFID
%Check to see if user has already pressed the ... |
291f0b4951aebcedb67e334bd030952ff84e193af149bae6b960e84725b35162 | MATLAB | 1,796 | 60 | clc; clear; close all
Fig7c=figure();
N_mu=500; %There are \mu independent embedded patterns, 500 simulations (number of simulations)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%R=1
yline(1,'--k','Linewidth',2)
hold on
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
482ac5207e847caca2d31347ba7b89616f5b307ac628b3d14b8e274651917e36 | MATLAB | 1,797 | 42 | function [CI_dpDiffBoot, p_dpDiffBoot, CI_cDiffBoot, p_cDiffBoot] = getdprimeDiffBootCI(nHits1,nHits2, nMiss1, nMiss2, nFalseAlarms1, nFalseAlarms2, nCorrectRejections1 , nCorrectRejections2)
nReps = 10000;
alpha = 0.05; %alpha value
rng(1,'twister');
isHit1 = [ones(1,nHits1) zeros(1,nMiss1)]';
... |
622a79c9f3d0a6d0fb741aa1f131e74f9858e15b2df1d5a9606692f89d916cc4 | MATLAB | 1,800 | 83 | function IND = CAMind(im,CAM,Threshold,Dmat,FIG)
if nargin <3
Threshold=0.5;
Dmat = 'R';
FIG=0;
elseif nargin <4
Dmat = 'R';
FIG=0;
elseif nargin <5
FIG=0;
end
imSize = size(im);
CAM = imresize(CAM,imSize(1:2));
CAM = normalizeImage(CAM);
CAM(CAM<0.2) = 0;
cmap = jet(255).*linspace(0,1,255)';
... |
3d443d17f45004140ed496463535ef5f73e89fec265486a44ecc06363e25fb37 | MATLAB | 1,803 | 57 | function tpfileparams =tpfnameparams(dirname,channel,params)
% TPFNAMEPARAMS - Returns any parameters that might be needed to create filenames
%
% TPFILEPARAMS = TPFNAMEPARAMS(DIRNAME,CHANNEL,PARAMS)%
%
% Examines the directory DIRNAME and returns any information that would be
% required for the program ... |
bdcf5f9a2c7191a646eacd7d2beb1f520f84f19beb9fa76307fb6b850ed75463 | MATLAB | 1,803 | 55 | function [mvpc] = f_average_auc(mvpc, svm_scores,tst_target,smoothing)
% Create the decoding accuracy at each time point (averaged over classes)
[Nitr,Nblock,Ntp,Nclasses,~] = size(svm_scores);
% Nblock = mvpc.nCrossfolds;
% Nitr = mvpc.nIter;
% Ntp = length(mvpc.times);
% Nclasses = mvpc.nClasses;
% Nruns = N... |
43697d07f8a24ff65b91d0d39c4e9cb61b00737bf6dde0b337375cd6ad0f1558 | MATLAB | 1,807 | 48 | function [dr_initial, dr_all_raw, dr_all_offset] = analyzetpstack_getdirdrift(ud, dirname, numpreviewframes)
% ANALYZETPSTACK_GETDIRDRIFT - Get drift correction information from a directory
%
% [DR_INITIAL, DR_ALL_RAW, DR_ALL_OFFSET] = ANALYZETPSTACK_GETDIRDRIFT(UD, DIRNAME, NUMPREVIEWFRAMES)
%
% Given current userda... |
33f27e026612bbd34eff5a4b4f2f3cc56a1e1a283b5e6497a753a8ea393116ea | MATLAB | 1,809 | 68 | function J = func_LDA(data,Labels,method)
% J = func_LDA(data,Labels,method)
% method = 'element' will perform element wise LDA; i.e. 1-dimensional lda
% = 'vector' will perform the usual LDA; i.e. using a vector
% (d-dimensional lda)
typ=isa(Labels,'categorical');
if typ==1
Labels=double(Labels);
en... |
e9039f006646dbdad40e3a634b8d2317454aed655a82d9b64196c7c936ba322d | MATLAB | 1,809 | 62 | % PURPOSE: compare number of channels and channel labels between 2 ERPsets.
%
% FORMAT:
%
% test = checkchannel(ERPold, ERPnew)
%
% INPUT:
%
% ERPold - ERPset 1
% ERPnew - ERPset 2
%
% OUTPUT:
%
% test - 0: ok
% 1: number of channels do not match
% 2: l... |
76a0cda3885209b55c273c7e4ffec44a99207a689709151bd016636001d44c5c | MATLAB | 1,810 | 57 | function [UAll, M, muTimeCourse, mu, sigma, S, U] = getComponents(data, code, P)
%%% Will compute the components of data
%%% Supposes that data is timepoints x imp stim x unimp stim x clusters x repeats
nBins = size(data,1); % can be different from P.nBins if take average response instead of timecourse
... |
d7107d22c7f403a6c9f93a19ede1eef51ca876a63ea116062e2dd25d34b969aa | MATLAB | 1,810 | 82 | function handles = saveGUISettings_SanesLab(handles)
%handles = saveGUISettings_SanesLab(handles)
%
%Custom function for SanesLab epsych
%
%This function saves GUI settings to a file (*.GUIset)
%that can be re-loaded at a later date.
%
%Inputs:
% handles: GUI handles structure
%
%Written by ML Caras 8.3.2016.
%... |
6e5df22253a7595b39d82dc7d9f406ba830c3f112b2a9a2d660131ca8762f827 | MATLAB | 1,813 | 55 | % MAIN_burstdetection.m
% This script operates the Burst Detection algorithm on the PeakDetection MAT files
% by Michela Chiappalone (17 Marzo 200, 12 Gennaio 2007)
clr
check = 0;
[start_folder]= selectfolder('Select the PeakDetectionMAT_files folder');
if strcmp(num2str(start_folder),'0')
errordlg('Selection Fai... |
40b077cf95bbb48f9d20b832f43cb4561127af4c0e5e086862a548cfa93f58fa | MATLAB | 1,814 | 77 | function StartSpikeSorting(Action,hGUI,Par)
% Run spike sorting functions. This is for after preprocessing steps.
% Created 22 April 2016 JDY
%---FLAGS---%
if nargin < 3
pname = get(hGUI.edit_pathname,'string');
subject = get(hGUI.SubjectID,'string');
session = get(hGUI.session,'string');
Par.Pname = pname;
Par... |
319afb68d08d67f39e85e1936b2e1bb8aa20917434b7f05307cf7f0e88102ccd | MATLAB | 1,815 | 62 | function resultats=MainArtificalDispPIV(Case)
% INPUT:
% Case :
% =1: Initial linear (10 stesp) and the constant displacements (10
% steps). For creep test.
% =2: Constant displacements (20 steps). For stress relaxation test.
% OUTPUT:
% resultats.Xlag: x coordinates of applied x displacement
% resultats.Yl... |
4d7b380cd6585a579df33f11427c66518359213fa5722b3b3a436aaa2ab33906 | MATLAB | 1,816 | 40 | function [trl, event] = wsws_trialfun_test(cfg)
% triggers
load(cfg.triggerfile)
% behav
load(cfg.behavfile)
event=[];
trl=[];
begsample_PTB=[];
nc=0;
StimLabels={'SWS','NVS'};
CondLabels={'P+','P-','P0'};
for nTr=1:size(Stim_onset,1)
thisList=block_conditions(Stim_onset(nTr,1),Stim_onset(nTr,2),5);
if thisL... |
93123e8015a2d5f07caa8422e2e145c0cd189f96e0a6574673398f665352bdc1 | MATLAB | 1,817 | 45 | % Example 1: Classification of multi-omics data using the DeepInsight-3D model
%
% In this Example, multi-omics example data (saved in Data folder as
% dataset1.mat) is first converted to images using DeepInsight3D converter.
% Then CNN net (resnet-50) is applied for training the model. The
% performance evaluation (... |
16f9f1e87fe58b02d451b289e4eb21ab466071d3e6fad43b1c4843e39a67f877 | MATLAB | 1,820 | 69 | function [M,S,U] = getTransMat(data,P)
% gets transition matrix M
% data should be timecourse x clusters x repetitions
% bins is binning of the stimuli
% P contains diverse general parameters
if ~isfield(P,'reducingMethod')
P.reducingMethod = 'SVD';
end
if ~isfield(P,'recenterTimePoint')
P.recenterTimePoint ... |
64e0bdc4829bd807730e12762fb514752ef3ef1d569a8e02b07fa24fd56dfe34 | MATLAB | 1,820 | 56 | %% Get the information necessary for plotting the spheres of ROIs
util.clearAll;
region_info = util.get_region_info();
% Get coordinates of the seed regions
seed_region_names = cat(2, util.str.chord_ROIs().modules{:});
seed_region_info = region_info(seed_region_names, :);
region_coords = seed_region_info.coords;
% Add... |
2a18583f6516b32063b9b863ce284cd44e1df360bee7253206ac631949dd6a3a | MATLAB | 1,823 | 59 | %%
clear all
close all
run(['..', filesep, 'def_local'])
addpath(genpath(path_mTRF));
%%
allfiles={'405','406','407','408','409','410','411','412','413','414','415','416','417','418','419','420','421','422','423'};
StimProfiles_freq=([2 8]);
% Model hyperparameters
myLags=-(-0:1:30);
FreqFilt=[2 8];
direction = -1;... |
8765564413310dc9a1c534dcb639665a015de058bd3adf992deafab2694894f6 | MATLAB | 1,823 | 58 | function pixellists = findmypixelsinlinescan(params,impixinds,dr,ims);
imsize = [params.Main.fullImagePixelsPerLine params.Main.fullImageLinesPerFrame];
linesperframe = min(params.Main.Lines_per_frame,size(ims,1)); % actual lines might be less than expected
N = size(params.Linescanpoints,1); % number of pixe... |
82ecbabd2750b2e7f4e3076ffa943f239f43dd738fe5e64e0becefc200adb31e | MATLAB | 1,824 | 61 | function [] = linkCUDAMex(lib_num, doReset)
if(nargin < 1 || isempty(lib_num))
fNames = kgmlm.CUDAlib.compileCUDAMexFunc();
else
[~,fNames_grp] = kgmlm.CUDAlib.compileCUDAMexFunc();
fNames = fNames_grp{lib_num};
end
clear mex;
[~, CUDAdirectory, CUDAlibSubdirectory, MATLABdirectory, ~, objDir, mexDir, mexS... |
0d3b85a2c873fb70813d8b3d73fb829a17119d37a62f3e0d5fa3f9e826e02826 | MATLAB | 1,826 | 56 | %This function creates a tethraedric mesh (.msh file) wich serves as input file for
%ELMER FEM
function meshgenerator2_ot(name,N_points,points,N_faces,faces,surface,label,label_tetra)
%name output name
%boundary differents element for elmer boundary condition (integer)
%class type of element (tetr... |
24d9e2b7b96f8d824246d68728db3c8778b57f3d61bf0624c5354a6dbd9378ce | MATLAB | 1,826 | 94 | function saveobjtube(fname,x,y,z,varargin)
% Save a tube plot of a number of tubes as a Wavefront .obj file
%
% saveobjtube(filename, x, y, z) - Saves a tube plot of the tubes
% in the NxT vectors.
%
% saveobjtube(filename,x,y,z,radius,param,subdivs,vec) - As tubeplot (see function)
% x,y,z denotes the path, radius i... |
ec6e58bdac011d20abc72f6533b54af9a1afdda601d5b95bf4cd4bd3b43fa714 | MATLAB | 1,826 | 66 | % PURPOSE: retrieves ERPLAB's command history
%
% FORMAT
%
% erph
%
% INPUTS
%
%
% OUTPUT
%
% displays the ERPLAB's command history, from the whole session, on the command window
%
%
% Author: Javier Lopez-Calderon & Steven Luck
% Center for Mind and Brain
% University of California, Davis,
% Davis, CA... |
fc0a350644a11fda946cccb27ff3a9a8505f27ef47f73c459011b79f94862e6c | MATLAB | 1,828 | 24 | %-----------------------------------------------------------------------
% Job saved on 06-May-2022 10:32:43 by cfg_util (rev $Rev: 7345 $)
% spm SPM - SPM12 (7771)
% cfg_basicio BasicIO - Unknown
%-----------------------------------------------------------------------
clear matlabbatch
subjfolder = dir('F:\fMRI_QC\fm... |
2a9060d983494b71de7bcc9a68a88903346b368d0b6b9c6cef6a3dcae6567046 | MATLAB | 1,829 | 58 | function collectGUIHANDLES_SanesLab(handles)
%collectGUIHANDLES_SanesLab(handles)
%
%Custom function for SanesLab epsych
%
%This function collects GUI parameters for the selection of the next trial,
%and for pump setting
%
%Inputs:
% handles: handles structure for GUI
%
%Written by ML Caras 7.24.2016
%kp 11.06.2016
... |
24c37bb68fba6dad2aa401371c3ae1dc6b54dbba3390c6f0223e554932ba1525 | MATLAB | 1,836 | 46 | function [STMtx,UnitListOut] = restrictTranges(UnitList,Trange,STmultiply)
%
% Aleksander PF Domanski PhD UoB 2016
% aleks.domanski@bristol.ac.uk
%
% NB - unit timestamps are assumed to be in NLX format (100us precision)
% and are convered to seconds on processing.
% Takes imported (MClust-style) .t timestamps,... |
5eef4fddc00e43c591db5ea0e837113c0b5c83496a1076ffa1c9697ca9675fd1 | MATLAB | 1,840 | 62 | function out = create_new_example_dataset(bten, SNR_1, SNR_2)
% this function allows the creation of a new example dataset with the
% specified level of noise
sigma1 = 1 / SNR_1;
sigma2 = 1 / SNR_2;
n = size(bten,1);
% create the final data container
out = zeros(64,64,6,n);
%% define parameters and signal for a non-... |
cf26866bad229e71c0db63f1a24f8a6198b211238a241360f3d54fa8f48e9b38 | MATLAB | 1,843 | 55 | function LEiDA_cluster
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% LEADING EIGENVECTOR DYNAMICS ANALYSIS
%
% This function computes k-means clustering of leading eigenvectors
%
% - Reads the pre-processed LEiDA_data
% - Saves the Cluster properties for a range of K
%
% Saves the outputs to LEiDA_k_results.mat
%
... |
6af61359e5b48aec65932785747ce1ac72b7016ea1e7edd37355665411c52475 | MATLAB | 1,847 | 68 | function PlotDataRasters
% Created 29 Nov 2017 JDY
% Edited 22 Jan 2018 JDY
% close all
clc
%---FLAGS---%
Behavior = 1;
subject = '253888';
% subject = '255183';
% subject = '255184';
session = 'WA';
Block = '51';
Path = '/Volumes/YAO EXHD 2/PROJECTS/AM Discrimination/Ephys/processed_data/';
Dat... |
bc46ac46970086512ace7f9d747a5030653acbe0a24eb610691c9ee0f8f26b11 | MATLAB | 1,848 | 82 | %% Example Plot LFPs
cfg = [];
cfg.linewidth = 2;
cfg.channel = 5;
cfg.interactive = 'no';
figure('windowstyle','docked')
ft_singleplotER(cfg,visLFP,audLFP);
hold on
plot([0 0],ylim,'--','color',[0.6 0.6 0.6]);
hold off
%% Example with SPIKEs
cfg = [];
cfg.binsize = 0.001;
cfg.latency = [0 0.5];
PSTH = ft_... |
46ceadbeb8f5ca84b7850e4c5994e01e4a791b13904ad471cf682b138e8ba8e4 | MATLAB | 1,850 | 79 | function StartSpikeSorting(Action,hGUI,Par)
% Run spike sorting functions. This is for after preprocessing steps.
% Created 22 April 2016 JDY
%---FLAGS---%
if nargin < 3
pname = get(hGUI.edit_pathname,'string');
subject = get(hGUI.SubjectID,'string');
session = get(hGUI.session,'string');
Par.Pname = pname;
Par... |
5d0ccd5919395797d03e6c68d318e94782b6fb3f179091b9aa7d23ce5998558a | MATLAB | 1,854 | 59 | % This script converts the peak train stored in ascii format (.txt) in
% Matlab sparse format (.mat). This is the correct file format to run the
% analysis using the developed scripts and Matlab functions.
% The same directories tree are mantained. Time stamps and peak
% amplitudes are stored.
%
% Pao... |
bebc727b57789c2a287e729ca4317d09b322107123f78a59c16962e8ac63a2d2 | MATLAB | 1,855 | 49 | function dists = pairdist(X,Y,nosqrt)
% UltraMegaSort2000 by Hill DN, Mehta SB, & Kleinfeld D - 07/09/2010
%
% pairdist - Computes a pairwise Euclidean distance matrix.
%
% Usage:
% dists = pairdist(X,Y,nosqrt)
%
% Description:
% DISTS = PAIRDIST(X) returns a symmetric positive definite matrix DISTS
% such that... |
3b316fcdbe700320b93a1680263b54efc00c4b5cbc2c8cd107b2c104593b39bd | MATLAB | 1,856 | 32 | %%% Although the code should be run on a supercomputer to get Arnold tongues with a
%%% good resolution, this is a test call that can be used on a local machine.
%%% The predefined parameters below will generate the data for a dithering level
%%% zeta = 0.15
%%% 26-01-23 first commit
fpath = 'test'; %path... |
65f1340302c36b8bc46889dd42166e9efb5be225c9c476a60881ed6e71b28230 | MATLAB | 1,856 | 57 | %% Setup
clear
close all
%% extract the surfaces from a nifti image of specific rois
hemisphere = 'left';
nifti_paths = util.get_nifti_folders();
volumes = util.create_empty_table(nifti_paths);
volumes.Variables = ...
cellfun(@(x) util.read_nifti_folder(x, hemisphere), ...
table2cell(nifti_paths), 'UniformOutpu... |
06587442505c7289efc2d067ff2e0078674e51fe43c04060f5f56aa43208b5ca | MATLAB | 1,858 | 73 | function ph = pp_make_phys_struct( epData, t1, t2 )
%
% pp_make_phys_struct( epData, t1, t2 )
% Sub-routine called by pp_prepare_format.
%
% Creates matrix of filtered ephys data. First, filters the entire data
% stream from epData. Then extracts a window of data around each trial
% onset.
%
%
% K... |
66cbb8d0adb5f2303f73e41d2794a16f3f454a41b3a13bbbaf1e443ad620a50c | MATLAB | 1,859 | 73 | function plot_spike_rf(S,P,param,cfg)
% plot_spike_rf(S,P,param,cfg)
%
% For use with DB_QuickPlot
%
% DJS 2013
win = [cfg.win_on cfg.win_off] / 1000; % ms -> s
% Organize by stimulus onsets
ons = P.VALS.onset;
TS = cell(size(ons));
for i = 1:length(ons)
ind = S >= ons(i) + win(1) & S < ons(i) +... |
938053184c21bfdc58e7a73fd3676d444a392b9d9d6cfbd8efc92abf00288bea | MATLAB | 1,860 | 57 | function [NextTrialID,LastTrialID,Next_trial_type] = ...
aversive_trialselect_SanesLab(TRIALS,remind_row,...
trial_type_ind,LastTrialID)
%[NextTrialID,LastTrialID,Next_trial_type] =
% aversive_trialselect_SanesLab(TRIALS,remind_row,...
% trial_type_ind,LastTrialID)
%
%Custom function for SanesLab epsych
%
... |
69e5e95bcbf787b0f4079e16ad40e1d9a243e2d922a77d83caf17efe560ff943 | MATLAB | 1,864 | 54 | function V = takeTimestep(V_old, J, J_old, A_new, A_old, A_J, exact, preconditioning, second_order)
% This function takes as inputs the current 'state' (voltage and current
% vectors) and matrices that define the numerical representation of the
% problem such that:
%
% A_new * V_new = A_old * V_old - A_J * J .
%... |
e1e4ccefe4239025dcfb18a6601fba8d39e6f163076ba4083b89c44a0abcd1a3 | MATLAB | 1,864 | 48 | function out = convert_1x6_to_1x21(in)
% function convert_1x6_to_1x21()
%
% converts a tensor from a 1x6 to a 1x21 representation
%
% in_1x6 = [xx, yy, zz, sqrt(2)xy, sqrt(2)xz, sqrt(2)yz]
%
% tmp_6x6 =
% [ xx*xx xx*yy xx*zz sqrt(2)*xx*xy sqrt(2)*xx*xz sqrt(2)*xx*yz
% ... |
af15acb119e338f5045e510439c7d680e00380dd83568c9d6e55b1cf17f5f20f | MATLAB | 1,870 | 80 | function [ comMaxAssorVec , nodMaxAssorVec ] = eval_com_assortatvity_wu(CIJ,ca)
% return the maximum assortativity from Betzel
% https://arxiv.org/pdf/1702.02807.pdf
% make ca column vec
if ~iscolumn(ca)
ca = ca';
end
% and autofix mat
CIJ = weight_conversion(CIJ,'autofix');
% number of communities
num_coms = l... |
caca86d6b26b498512b39b046f589ec7b250bd4c456e1f46f895a3fae895ee52 | MATLAB | 1,870 | 60 | % PURPOSE: bring ERPLAB windows back to the front after an OS-level dialog
%
% FORMAT:
%
% erplab_restorefocus(h)
%
% h - a single figure handle, or a list of figure handles ordered front to back
% as returned by allchild(groot). Anything that is not a live, visible figure
% is ignored, so callers do not need t... |
abb2bba99b1eaf4d3d3937b10180301617eada3c63fb46dde4f46b924bed47d0 | MATLAB | 1,872 | 69 |
function reformat_tank_data_mlc(BLKS)
%reformat_tank_data
% Function to reformat and save ephys data from epsych program.
%
% Program prompts user to select TANK, then cycles through each BLOCK,
% calls TDT2mat (@DJS) to reformat tank data to a matlab struct, then
% saves as a -mat file in google drive fold... |
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