sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
4eec8771625774a94d4e00b51ca3b5c1b4f704c67984d071c5162eb391ed40ec | MATLAB | 2,376 | 78 | function updatePerformance(x)
% Used to update horizontal bar chart of task performance
% Requires input based on the type of response given
% 1. Incorrect response to right
% 2. Correct response to right
% 3. Abort trial - no peripheral response within response window
% 4. Correct response to left
% 5. Inco... |
d9bdc7dda0170a60116471db1f6803f63243216588ee1e068daecd76c25a4362 | MATLAB | 2,380 | 75 | function plotsModelfit(res)
%function plotsModelfit(res)
% plots some standard plots, meant to help you judge whether there are
% systematic deviations from the model.
%
% These are the same plots as presented in psignifit 2 for this purpose.
%
stimRange = [min(res.data(:,1)),max(res.data(:,1))];
stimRange = [1.1*stim... |
dd2475a9c09e45e203a141c96ad7e705134295132a063ba5945bf06fcb16a3e7 | MATLAB | 2,381 | 75 | % SAVE2PDF Saves a figure as a properly cropped pdf
%
% save2pdf(pdfFileName,handle,dpi)
%
% - pdfFileName: Destination to write the pdf to.
% - handle: (optional) Handle of the figure to write to a pdf. If
% omitted, the current figure is used. Note that handles
% are typicall... |
bf550cd421d5b16dda8f9e0ade50409fb27558a9ab0df9e49d718dc85ba85b9e | MATLAB | 2,383 | 80 | function findRovedPARAMS_SanesLab(TRIALS,remind_row)
%findRovedPARAMS_SanesLab(TRIALS,remind_row)
%
%Custom function for SanesLab epsych
%
%This function identifies the indices of the roved parameters
%
%Inputs:
% TRIALS: RUNTIME.TRIALS structure
% remind_row: row index in TRIALS.trials of the reminder trial
%
%N... |
f6da063d69840984128e76d10e5adea133175923f82630058a9864f9e3400291 | MATLAB | 2,386 | 81 | function [hubcostf, feedercostf, peripcostf,hubedged] = ...
hub_rewiring_cost(mat,distmat,costmat,hubmethod,Nreps,prop_rand)
if nargin < 4
hubmethod = 'gollo2018' ;
end
if nargin < 5
Nreps = 1000 ;
end
if nargin < 6
prop_rand = [ 0 ((5:5:100) ./ 100) ] ; % proprotion of randomizations
end
if prop_ra... |
baf8c6d526cab26a04580cf86c1ddb172b9e2cd0a5ef9fb6b0c374ce6940b673 | MATLAB | 2,387 | 62 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2017 Johns Hopkins University (Author: Aswin Shanmugam Subramanian)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function stoi_estoi_sdr(nj,enhancement_method,destination_directory,set)
... |
df406116ca1752a8f326186cf5b6ba39abf24b56389baff0f33228a7c648ab1a | MATLAB | 2,388 | 82 | function [im,params]= tppreview(dirname, numFrames, firstFrames, channel)
% TPPREVIEW - Preview PrairieView image data
%
% IM = TPPREVIEW(DIRNAME, NUMFRAMES, FIRSTFRAMES,CHANNEL)
%
% Read a few frames to create a preview image. DIRNAME is the
% directory name to be opened, and NUMFRAMES is the number of
% fram... |
923c424039b3c8b9ec2a1144c1d65fd1a5e4400e0596becd92c879b1e6d435de | MATLAB | 2,393 | 77 | function [results] = spkHistPrior3(params, results, spkHistPrior_setup, addDPriorForWB)
% i.i.d non-mean Gaussian over spike history coefficients & constant
K = size(params.B,1);
w_mu_idx = 1;
w_sig_idx = 2;
H = double(params.H);
w_mu = H(w_mu_idx);
log_w_sig = H(w_sig_idx);
if(K > 0)
b_mu_idx = 2 + (1:K);
... |
6f1b94ddf3bcc0b0f64ec66a20b1d5c034e4ae5a98f3f67a687673430227a129 | MATLAB | 2,395 | 80 | function [GMLMstructure, trials] = constructGMLMPopforTests( factor_idx_0, isShared, isSharedEye, dim_A)
dim_R_max = 4;
if(nargin < 4)
dim_A = 2;
end
[~,~,factor_idx] = unique(factor_idx_0(:));
dim_S = numel(factor_idx);
dim_T = randi(20,[dim_S 1]);
dim_D = max(factor_idx);
dim_F = nan(dim_D,1);
for ff = 1:dim_D... |
c16a86a760a96f28142e8bd0ee55237c6b3226be43d6a3eedb26a163fbb56550 | MATLAB | 2,397 | 70 | function [hObject,handles] = select_change_SanesLab(hObject,handles)
%[hObject,handles] = select_change_SanesLab(hObject,handles)
%
%Custom function for SanesLab epsych
%
%This function updates the dropdown menu color and enables the APPLY button
%when the user selects a new dropdown menu option.
%
%Input:
% hObject:... |
bb9435bd2d6e1e6ddb3098bb6c81040231e56b5ed6f35c62a7a81807e1062dfe | MATLAB | 2,398 | 58 | function [stim_response_doc] = stackresp2ndiresponsedoc(S, tdir, resp_struct, stim_presentation, control_stim_presentation, nde_id, stimulator_id, srp_id)
%
% STIM_RESP_DOC = STACKRESP2NDIRESPONSEDOC(RESP_STRUCT)
%
stim_response_doc = [];
responses = struct('stimid',[], 'response_real',[], 'response_imaginary',[],...... |
03e70f64f0500b0dd32df0602b095b1dd4ec888caea5e871399cbd167e2e7d3d | MATLAB | 2,401 | 72 | function motif_class = two_neuron_motif_classification_3D(x1, x2, y1, y2, t1, t2);
% Two neurons are the same (two distinct neurons involved)
% Assume t1 <= t2
vec = [0,t1,t2];
n_distinct_times = length(unique(vec));
if n_distinct_times == 1
% Two neurons are th... |
a09b17f9bd57ee675e1d89b28207bea259d2ff6733cc8bc1ba52415f0aeb2b3c | MATLAB | 2,404 | 103 | function [Problem] = robust_pca(X, mask, lambda)
% This file defines the robust PCA problem.
%
% Inputs:
% X dictionary matrix of size mxn.
% mask missing data matrix of size mxn.
% lambda l1-regularized parameter.
% Output:
% Problem problem instance.
%
%
% The prob... |
3e965c558c3a88d0c3dd0594c1d1a9369075464817e2061b7822e6f64b61d415 | MATLAB | 2,405 | 74 | function x=Solve(A,b)
% See ichol, pcg and minres:
% https://es.mathworks.com/help/matlab/ref/ichol.html
% https://es.mathworks.com/help/matlab/ref/minres.html
% https://es.mathworks.com/help/matlab/ref/pcg.html
% MUMPS, PETSc
n=size(A,1);
mIter=ceil(size(A,1)/5);
Tol=1e-12;
fl=0;
if n<30000
x=A\b;
else... |
dd4397514b5861f080b801b211c2fdf3ec1d6d7c85e203119bc3f60dc6065ae9 | MATLAB | 2,410 | 48 | function p = driftcorrectbycorrelation_defaultp
% DRIFTCORRECTBYCORRELATION_DEFAULTP - Return defaults parameters for DRIFTCORRECTBYCORRELATION method
%
% P = DRIFTCORRECTBYCORRELATION_DEFAULTP(...)
%
% Returns default parameters for the DRIFTCORRECTIONBYCORRELATION method
%
% The user can override these values by ... |
14e1be0ca27e6ed00647db1d0655c604935e4abeebd7fc0d52a8b1eb0b672136 | MATLAB | 2,411 | 57 | function pPost = decode_probClass(cfg0, decoder, Y)
% pPost = decode_beamformer(cfg, decoder, Y)
% Apply probabilistic multiclass decoder, obtained from an appropriate training function. It
% returns the posterior probabilities of a the trial belonging to a class, given the data. At
% this moment the inclusi... |
be1738230df376f97332adb25b2e082a3e2ae7323e2eaa18fdec453d68df5a99 | MATLAB | 2,411 | 53 | function [YAPS, param_list] = read_meas_prot__struct(varargin)
%READ_MEAS_PROT__STRUCT
%
% [YAPS, param_list] = read_meas_prot__struct(varargin)
% jonathan polimeni <jonp@nmr.mgh.harvard.edu>, 2007/nov/18
% $Id: read_meas_prot__struct.m,v 1.1 2008/05/21 19:00:46 greve Exp $
%************************************... |
b1605b4240abd668131a72405e7176ee944827c2509798fad66fd8baaa82956e | MATLAB | 2,415 | 75 | function sc_stats_for_R
%
% Function to prepare data for processing in R
%
% Fran Hancock
% July 2021
% fran.hancock@kcl.ac.uk
%
%
PROJECT = '/Users/HDF/Dropbox/Fran/Academics/PhD/matlab/projects/HCPEP_COMPARE/';
Rmax=4;
CondMax=3;
con_subj=53;
pap_subj=30;
nap_subj=82;
n_subs=con_subj+nap_subj;
MODE=4;
% Subcortica... |
99945065e18e1f741fc4ba28460a9a827f3963815049d812b169f51dbaac5ebb | MATLAB | 2,416 | 54 | function [freq, q, qLo, qUp, effRecrMean, effRecrLo, ...
effRecrUp, collRecrMean, collRecrLo, collRecrUp] = ...
linearFrequency_stim(t, var_in, var_in_min, var_in_max, ...
freq_min, freq_max, q_stim, recrNormIa, recrNormIb, recrNormAlpha, ...
recrNormII, recrNormTouch, Q)
% INPUT:
% - t ... |
7ebd4f05570990d803e04e41e5979c6a98ebbedf440e1e383bb49319c18bf4b9 | MATLAB | 2,418 | 99 | function [X,Y,Z,V]=tubeplot(x,y,z,varargin)
% TUBEPLOT - plots a tube r along the space curve x,y,z.
%
% tubeplot(x,y,z) plots the basic tube with radius 1
% tubeplot(x,y,z,r) plots the basic tube with variable radius r (either a vector or a value)
% tubeplot(x,y,z,r,v) plots the basic tube with coloring dependent o... |
7230bde0eb6f2b3e2d3198e08da450de7691d43317e81c268aa85d4e0cb65c14 | MATLAB | 2,419 | 86 | function [wfa, wfb] = dib_wf_ste()
% function [wfa, wfb] = dib_wf_ste()
%
% By Filip Szczepankiewicz
%
% Spherical tensor encoding (STE)
% for the "data in brief 2019" project.
%% STE
wfa = [
0 0 0
-0.2005 0.9334 0.3029
-0.2050 0.9324 0.3031
-0.2146 0.9302 0.3032
... |
0daed0943de866c0f15bd27a090f83fa5c7e65c46eb9e9a834b3be05b2500f25 | MATLAB | 2,420 | 67 | function [axonalSelPerFiber, axonalSelPerFasc] = axonal_selectivity(model, options)
arguments
model (1,1) Model
options.GroupByFascicle (1,1) logical = false;
options.iAS {mustBeNumeric} = [];
options.iElec {mustBeNumeric} = [];
options.fiberActiveAll = []
end
% 1 x nFasc
groupByFascicle ... |
be7f678041a53deb692f0684f80be8bd3423984ef1cf99833199481a46442d3c | MATLAB | 2,423 | 56 |
%% %% %% %% %% %% MASTER SCRIPT FOR RUNNING ALGORITHMS %% %% %% %% %% %% %%% %
% %
% GLOBAL NONLINEAR APPAOCH FOR MAPPING PARAMETERS OF NEURAL MASS MODELS %
% ... |
d0244388152f88b5220ab4343cf1c8c5363d49bf87d332386e2f4646207ae0dc | MATLAB | 2,424 | 92 | function run_boundariescondition(model, radii)
% Main script for the calculation of boundaries condition
%
% By Andrea Cimolato, Federico Ciotti NeuroEngineering Lab, July 2020
% radii = [20, 30, 60, 120];
%% Run boundary condition simulations
solutions = simulation_boundariesCondition(model, radii);
% Set ... |
4b5780004c09bdb353557fecb880deec17d2e8df547a86a26a4cfee0fa4ecfc8 | MATLAB | 2,425 | 75 | clc; clear; close all
Fig6b=figure();
N_mu=500; %There are \mu independent embedded patterns, 500 simulations (number of simulations)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%R=1
yline(1,'--k','Linewidth',2)
hold on
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
193ffea964ea22d1790e304e3ca3022ccebf2df97d9f783589bdcc8c523447e1 | MATLAB | 2,429 | 74 | function Cov_comp = getCompCov_interactions(X,code,P)
%%% A bit different from the classic audio/video component.
%%% Would have needed a different architecture to homogeneize.
P.focusOn = 'video'; % force it here
dataA = getOrgData(X,code,P);
if P.zscore
sigma = nanstd(dataA,[],[1 2 3... |
8c80baa968856af3909893579883387b13cd69e1b4f05998ad7895550ee8b79a | MATLAB | 2,429 | 105 | function [Problem] = tv_l1_problem(y, lambda)
% This file defines the TV (Total Variation) problem with L1 norm.
%
% Inputs:
% A dictionary matrix of size dxn.
% b observation vector of size dx1.
% lambda l1-regularized parameter.
% Output:
% Problem problem instan... |
83efb37643817d9ede0c724ffdbf7b2a6f94d7a1e0cd698d7733a69ded04a99b | MATLAB | 2,431 | 86 | [d2, d2ir, spectrumri, spectrumii, dataFreq] = readpipe_2Di('../build/kras.ft2');
% do_level;
%
% figure(1);
% contour(d2,level(3:end));
ndx=98;
% ndx=136;
% ndx=211;
signal=d2rr(ndx,:);
x = 1:length(signal);
[pos_signal, neg_signal, region_mask]=run_flatt(signal,17,5e4);
[fitted_trend, cleaned_signal] = run_flatt_... |
71eef4fcc040e226fd6ccb287f30cba478c284707a2dc99f159c21be7e5cfd25 | MATLAB | 2,434 | 82 | function [GMLMstructure, trials] = constructGMLMforTests( factor_idx_0, isShared, isSharedEye, dim_A)
dim_R_max = 4;
if(nargin < 4)
dim_A = 2;
end
[~,~,factor_idx] = unique(factor_idx_0(:));
dim_S = numel(factor_idx);
dim_T = randi(20,[dim_S 1]);
dim_D = max(factor_idx);
dim_F = nan(dim_D,1);
for ff = 1:dim_D
... |
aaf14c392d02b499f25ab0c7d96f8bc0bdd02cd65098f5483880e6bbb81deacb | MATLAB | 2,434 | 80 | function [gg] = setup_sim(params)
% [gg] = setup_sim(params)
% Set up coupling matrix and filters according to model parameters
wc = params.wc;
frame_dur = params.frame_dur;
steps_per_frame = params.steps_per_frame;
ex_sigma = params.ex_sigma;
in_sigma = params.in_sigma;
ex_tau... |
b082526d8c02746df020e711662e054c9937c28171b426f0791ec18901be0ca4 | MATLAB | 2,436 | 96 | function dinfo = TDT_GetDeviceInfo(DA,echo)
% dinfo = TDT_GetDeviceInfo(DA)
% dinfo = TDT_GetDeviceInfo(DA,echo)
%
% Get Device Names, RCX files, and Sampling rates from OpenEx
%
% DA is a handle to the OpenDeveloper ActiveX control after a conneciton
% has already been established.
%
% If echo == true (def... |
cbd30e00082ab3e2444827b1b2f1ce828a2406fb61b7d2b1f5fef69e5be7d96f | MATLAB | 2,436 | 83 | % Script to load neural recording for processing in the toolbox. This
% script is customised for use specifically for Rory Townsend, future users
% will need to write appropriate methods for their own data format.
%% Data file parameters
useMouseCortex = false;
mouseResize = 0.2;
useEvoked = true;
if useEvoked
fi... |
05a7c76ef5e5507619560ccc4106ff4bdf54e43aa004d607b79cc68e8e2dc057 | MATLAB | 2,438 | 55 | % Demonstrate use of Bits# digital output lines using PTB-3
% whichScreen=max(Screen('Screens'));
PsychImaging('PrepareConfiguration');
PsychImaging('AddTask', 'General', 'FloatingPoint32Bit');
PsychImaging('AddTask', 'FinalFormatting', 'DisplayColorCorrection', 'ClampOnly');
PsychImaging('AddTask', 'General', 'Enable... |
84be6f2822c9d788f79b645fd9a1454264e8b72562cb5202cc1004f6a3108b62 | MATLAB | 2,438 | 73 | % PURPOSE: installs a listener that pins ERPLAB's figures to the light theme.
%
% FORMAT:
%
% erplab_lighttheme_listener(erplabpath)
%
% INPUT
%
% erplabpath - full path to the ERPLAB folder, used to tell ERPLAB's figures
% apart from everyone else's
%
%
% ERPLAB creates figures from well over a hundred ... |
bb2f8a5bdb6bc0f2dcfab7bc3691410408e181dc92c7c2fb6da44882021c0e3c | MATLAB | 2,439 | 63 | function [results_group] = GMLMprior_stim(params, results, groupNum, stimPrior_setup)
if(isempty(params))
results_group = 1;
return;
end
params_group = params.Groups(groupNum);
results_group = results.Groups(groupNum);
%modified from computeGLMPrior
%% i.i.d. unit normal prior on loading matrix (no hyperparam... |
632e720a02724878822b38a16cb9bf39a1400d72a1457d65fa832913a1b2d322 | MATLAB | 2,440 | 66 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%% COX-STUART TEST %%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function[H,p_value]=Cox_Stuart(V,alpha)
%%%%%%%%%%%%%%%%%
%%% Performs Cox-Stuart test of the null hypothesis of trend
%%% absence in the vector V, against the alternative of trend.
... |
de64789c8ed0180dcaac29ea6886949dc92d02609aeb9847c8f299719e9b8905 | MATLAB | 2,442 | 81 | function [ims,channels] = tppreview_maxprojection(dirnames, tpparams, channellist, parameters, shortname, dirname)
channels = []; fnameparameters = {};
% lets find parameter files, get the file name prefix pattern
for j=1:length(channellist),
good = 0;
try,
myfnameparameters=tpfnameparams(dirnames{1},channellist... |
12c61cf8c2c792b6d8c6524bbb2957fd2d527a7b7c8f571d799470f020aa0c76 | MATLAB | 2,443 | 54 | function [theta, xfield, yfield] = determine_theta(phase, kernel_sigma)
% This function determines the direction angles THETA of gradients determined
% from a phase map. It takes care of the circular nature of phases and
% allows for a spatial smoothing before determining the gradients using a
% Gaussian 3x3 kernel... |
48e50ccc357c03bbd5f263b38a8727b30a9bb9bea3a31fc316cb3c16991e5b3e | MATLAB | 2,443 | 50 | function t1_setup
addpath('../code');
% Here we go over how to set up the Palamedes structure and also highlight
% the parameters that control the adaptive procedure's behavior during your experiment.
%%%%%%%%%%%%%%%%%%%%
%%%%%% SETUP %%%%%%
%%%%%%%%%%%%%%%%%%%%
% 1. Create the 'params' structure. If a paramete... |
91d2bd38def63e1bb4f0f68441ea787dc900adfe4b907ddb2ef802dc8517caa9 | MATLAB | 2,445 | 66 | function [tdTom_pos_centroids,tdTom_neg_centroids]=find_tdTomcells(tdTom_image,fura_image,pixel_size_per_cell)
% [tdTom_pos_centroids,tdTom_neg_centroids]=find_tdTomcells(tdTom_image,fura_image,pixel_size_per_cell)
% calculates centroids for tdTomato positive cells
% Input
% tdTom_image
% fura_image
% pixel... |
48fb919120d4102d922497048069c6720992bf6ef2463eea404f5090469954ed | MATLAB | 2,446 | 64 | % This function aggregate all the data from various participants and trials with an specific surface-foot
% combination to a single file.
% This function gets 3 inputs including Data cell array, SF array which
% indicates Surface-Foot combination for each cell in the "DataL" cell array,
% and an specific surface-fo... |
bdd3c7db6ea9bea7e976f0b3364bf0608f0cf8414493235a8f7318701de24423 | MATLAB | 2,447 | 97 | function [BEST, serror, filenamex] = saveBEST(BEST,filenamex,modegui,warnop)
serror = 0;
if nargin < 1
help saveBEST
return
end
if nargin<4
warnop = 0 ; % no warning for overwriting a file
end
if nargin<3
modegui = 0; % no uiputfile
end
% Save MVPA file (save as)
BESTaux = BEST;
name... |
2948b6a4805d8351e9d6fe875cd04e5abb59754703b278afe41608ad4a6928e1 | MATLAB | 2,448 | 79 | function [ims,channels] = tppreview_frameaverage(dirnames, tpparams, channellist, parameters, shortname, dirname)
channels = []; fnameparameters = {};
% lets find parameter files, get the file name prefix pattern
for j=1:length(channellist),
good = 0;
try,
myfnameparameters=tpfnameparams(dirnames{1},channellist(... |
e2b163843f42f08d81551ad0d822894762afd55a64f4214888c6211675abea90 | MATLAB | 2,448 | 93 | function biasAna(data1,data2,options)
% function biasAna(data1,data2,options)
% runs a short analysis to see whether two 2AFC datasets have a bias and
% whether it can be explained with a "finger bias"-> a bias in guessing
options.priors = cell(5,1);
options.borders = nan(5,2);
options.expType = 'YesNo';
options.pri... |
888f065d240b60d4ad6e89473c9f89dcf3b243fce15094429dc74e77c5e6e111 | MATLAB | 2,453 | 88 | function [params_group, precomputedPortion] = scaleParams(params_group, prior_setup)
H = double(params_group.H(:));
D = numel(params_group.T) + 1; % order
R = size(params_group.V,2); % rank
if(prior_setup.include_rank_constant)
nd = sum([prior_setup.T(:).on]) + prior_setup.V.on;
rank_scale = -log(R)/nd;
% ... |
506effa472c8bb11a458421aa5f69fbdb70cd6531e36173ae1041359512e905a | MATLAB | 2,455 | 90 | load(['../data/behaviorData.mat']);
for n = 1:14
n
tDur = [1:1200];
valid_u = cat(3, Sub(n).dir(1).valid.hPos100, Sub(n).dir(1).valid.vPos100);
valid_d = cat(3, Sub(n).dir(2).valid.hPos100, Sub(n).dir(2).valid.vPos100);
l1 = size(valid_u,1);
l2 = size(valid_d,1);
minL = min([l1 l... |
a86951365f58c916ca8e8a1ea1f967a76d08b7196905f6dd9a680cd7834634bb | MATLAB | 2,455 | 72 | % PURPOSE: erases ERPLAB's memory (values are those last used. Default ones are reloaded)
%
% FORMAT
%
% erplabamnesia(warningop)
%
% INPUT:
%
% warningop - display warning message. 1 yes; 0 no
%
%
% *** This function is part of ERPLAB Toolbox ***
% Author: Javier Lopez-Calderon & Johanna Kreither
% Center for ... |
e850f88a166d4a470501ae0e24410b4eee6658c2f4a423109248ce73688b598f | MATLAB | 2,455 | 90 | load(['../data/behaviorData.mat']);
for n = 1:14
n
tDur = [1:1200];
valid_u = cat(3, Sub(n).dir(1).valid.hVel100, Sub(n).dir(1).valid.vVel100);
valid_d = cat(3, Sub(n).dir(2).valid.hVel100, Sub(n).dir(2).valid.vVel100);
l1 = size(valid_u,1);
l2 = size(valid_d,1);
minL = min([l1 l... |
2b7400538c2d506aa7140319ee7e5ac59b988f65ca93d037074cdc678a08bc03 | MATLAB | 2,458 | 76 | % DEPRECATED...
%
%
% Modify EVENTLIST only
%
% Author: Javier Lopez-Calderon
% Center for Mind and Brain
% University of California, Davis,
% Davis, CA
% 2009
%b8d3721ed219e65100184c6b95db209bb8d3721ed219e65100184c6b95db209b
%
% ERPLAB Toolbox
% Copyright © 2007 The Regents of the University of Californ... |
9b79168f5200646c44632f815008e20e962b028ff50234860debfe5cc91dd296 | MATLAB | 2,460 | 66 | function rgb = vals2colormap(vals, colormap, crange)
%% This function has been adopted and edited from a Github repository. The original function is freely avalibale at the following: "https://github.com/vistalab/vistateach".
% Take in a vector of N values and return and return a Nx3 matrix of RGB
% values a... |
08929425bb455038c2d9b7d3309517b88fda01d463db15cb020c0d625608a460 | MATLAB | 2,462 | 104 | % fresh start
clearvars
close all
%% run config
config_file='config_mammals_1.m';
addpath(strcat(pwd,'/config'))
run(config_file);
%% inital read
% opts = detectImportOptions('./data/raw/MamiNum.xlsx');
orig_xls = readtable('./data/raw/MamiNum.xlsx') ;
animal_names = orig_xls.AnimalName ;
% cleanup
animal_names ... |
7dffea6e1073b03e00ffab311c24e9fc487891e70ff7b25ea4d3c1b0e3853590 | MATLAB | 2,462 | 94 | function valve(bit, time_on, pulseN, var)
%
% This script allows you to control the solenoids for any length of time
% and number of pulses. It's designed with the ACME 2000 in mind, but may
% be suitable for expansion in the future.
%
% bit - bit number for required solenoid (e.g. left = 4; right = i; cente... |
6f28c2001e27e0a53e2e69b90ed91e2d9de8c849ed1a9dd5f2c6c1da77e7d11a | MATLAB | 2,466 | 63 | function [nrg,images,transform,masked_transform,filtered] = video_spatialEnergy(videofile,radius)
% Function calculated the Fourier transform for each frame of the video and a
% mask is used to filter unwanted frequecies. Spatial energy is then calculated as the mean of the
% Fourier filtered images.
%
% INPUT
% ... |
7badfb4f07f9f46feb3255fcfa35b2e1b69e25d1cda526d549fa0361e29ab9f4 | MATLAB | 2,466 | 105 | function [Problem] = lasso_problem(A, b, lambda)
% This file defines the lasso (least absolute shrinkage and selection operator) problem for L1 norm.
%
% Inputs:
% A dictionary matrix of size dxn.
% b observation vector of size dx1.
% lambda l1-regularized parameter.
% Outpu... |
a4c3d4a62a37ee3b6075cea32e4d9940c4f2d952361fd64bd3a18d68bf8d64c3 | MATLAB | 2,468 | 102 | function TwoPhoton_Photodiode_SGS(dirname, sitename, photooff)
% recently measured offset between rise time of photodiode potential and spike detection on spike2: -2e-4
% that is, spike detection proceeds photodiode potential rise
photodiodeoffset = -2e-4;
tp_offset = 3.488-3.333;
[path,thedirname] = fileparts(... |
d6847e9eef278e33eca5c96d4c00d8d996807c1ff2a4bf4c45145d3018514c01 | MATLAB | 2,468 | 109 | function [N_points,v,N_faces,f,c,c2,Tpsi,DTpsi,LabVent]=read_vtk(name2)
%Read vtk mesh with fibers (labels in points)
%N_points:number of vertex
%v: vertex coordinates
%N_faces: number of elements
%f: elements
%c: cell types
%
%name2='Fibers_0_0_20_kira32.vtk';
fileID = fopen(name2,'r');
%Read number... |
bcb0422b4006976d21e33934215b5f687b52f4962f694c159c8914cf36165324 | MATLAB | 2,471 | 96 | function plot_spike_raster(S,P,param,cfg)
% plot_spike_raster(S,P,param,cfg)
%
% For use with DB_QuickPlot
%
% DJS 2013
nrows = cfg.nrows;
ncols = cfg.ncols;
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(on... |
8ca69db609fb727f5196de5a3ac3941e5d598a9260cf0c94138b7bc58c5ecd54 | MATLAB | 2,477 | 76 | %% Check single cell responses
for k = 1:P.nMice
P.focusOn = 'video'; % so that order is unchanged
dataA = getOrgData(db(k).spikeData,db(k).audiovisuoCode,P);
% will recenter the data by removing the common response
%%% note that this is not specific to each unimportant stim
dataA = dataA - nanme... |
aef3f3c314f2d7cca20f971b695fa1cd3df75add8b08f96c671a21173d096ff6 | MATLAB | 2,479 | 79 | p=3;
trial=9
fmin=0.5;
fmax=12;
% cd( '\\158.182.15.58\test2\Junhao');
% % File name
fileName = ['result_of_p' num2str(p) '_trial' num2str(trial)];
load(fileName);
mask=ones(50,50);
ratioSequence=VolE(1:50,1:50,:);
T=1:size(ratioSequence,3);
for surroN=3:4
%% Phase randomized surrogate
%% fft
%fft
... |
71bf537e419a61e388525516171ff38c85823c6720edd06639c818fe8bcabdbf | MATLAB | 2,480 | 93 | function G = model_parameters(Li, Lm, Le, w_K_channel, w_Na_channel, Ly, ...
Lz, dx_min, dy_min, dz_min, Tstop, dt)
%G = model_parameters(Li, Lm, Le, w_K_channel, w_Na_channel Ly, Lz, ...
% dx_min, dy_min, dz_min, Tstop, dt)
G.Li = Li;
G.Lm = Lm;
G.Le = Le;
G.Lx = 2*Li+2*Lm+Le;
G.w_K_channel = w_K_channel;
G.w_Na_chan... |
7589a5b8d6456daec15d3962acc27e73ea8c70602d0a64211b5ad79d2e532a52 | MATLAB | 2,491 | 103 | function [Problem] = elastic_net(A, b, lambda1, lambda2)
% This file defines the Elastic Net problem.
%
% Inputs:
% A dictionary matrix of size dxn.
% b observation vector of size dx1.
% lambda1 l1-regularized parameter.
% lambda2 l2-regularized parameter.
% Output... |
227580686f39049b3824e86889813a5bc06134ba1c788a7915dd872f5da22fe5 | MATLAB | 2,496 | 87 | % PURPOSE: sets ERPLAB's GUIs' font
%
% FORMAT:
%
% handles = setfonterplab(handles, fontsize, fontunits);
%
% INPUT
%
% handles - GUI's handles stucture
% fontsize - font size
% fontunits - font units ('pixels', 'points')
%
%
% *** This function is part of ERPLAB Toolbox ***
% Author: Javier Lopez-Calderon... |
5f40083c56c4295cfae3cee9f9c18ca05dafb02ef43f4a313b62c5cc7749cdf3 | MATLAB | 2,497 | 73 | function [dist, nbFibersMm] = diam_distr(age, nerve, dmin, dmax, plotdata)
% DIAM_DISTR Computes fiber diameter distribution pdf with exeperimental
% data. Data gives diameter distribution in a mm square fascicle surface of
% a sciatic nerve.
%
% [dist, nbFibersMm, dmin, dmax] = diam_distr(dirdist, age, nerve,plot... |
ee4a77b256cd7f48548a76163f15d700abd99bf8d95585f3e8b2bbff28397773 | MATLAB | 2,497 | 97 | function obj = Empty( varargin )
%uix.Empty Create an empty space
%
% obj = uix.Empty() creates an empty space that can be used to add gaps
% between elements in layouts.
%
% obj = uix.Empty(param,value,...) also sets one or more property
% values.
%
% See the <a href="matlab:doc uix.Empty">document... |
75914d748e5c0642ce222bf0696df09ec5ee0e023160f50f7070a629f1270249 | MATLAB | 2,500 | 93 | function [] = test_trace_norm_mc()
clc;
clear;
close all;
rng('default');
%% Set algorithms
if 0
algorithms = gd_solver_list('ALL');
else
%algorithms = {'PG-BKT', 'PG-TFOCS-BKT', 'APG-BKT', 'APG-TFOCS-BKT', 'L-BFGS-BKT'};
algorithms = {'APG-BK... |
860686a0bca2f1e2dfe86162c7c7855034a0b1d08e2eea8a99ac6f0e201668e8 | MATLAB | 2,503 | 116 | function ConvertTimestampToFrame(tsPath, vidPath, outPath)
%CONVERTTIIMESTAMPTOFRAME Convert time-stamped annotaations to frame index
if iscell(tsPath)
for i = 1:length(tsPath)
ConvertSingleSheet(tsPath{i}, vidPath{i}, outPath)
end
else
ConvertSingleSheet(tsPath, vidPath, outPath)
end
end
functi... |
c86ddbe0f14bd226b97d9beeb327e555564de1f7e6820c37bc592351fd5d5c3f | MATLAB | 2,503 | 85 | % Write data quality summary to Matlab Command Window
% axs April 2022, ERPLAB
function ERP_summary = f_dq_summary(ERP,dq_subfield_name)
% Check and populate missing args
if exist('ERP','var') == 0 || isempty(ERP)
ERP = evalin('base','ERP');
end
if exist('dq_subfield_name','var') == 0 || isempty(dq_subfield_nam... |
f0e3201af26a4bc178af8706ad7e18f858d1747408cfc23594fe7193fb7a301c | MATLAB | 2,504 | 66 | function [TmtxS,FSCs,EvtLs,EvtTs]=SelTrialsFSCs(fn,twin,trials)
% Select Assemblies from PFC/HC/Joint PFC~HP data sets & cut out event periods (trial case)
%
% Aleksander PF Domanski PhD UoB 2015
% aleks.domanski@bristol.ac.uk
%
% Cuts up time series into equal length epochs for use in downstream bootstrapping
... |
cbfd10f7bb7f56022d9d9077f0b162d31574ad6b088cfc8998f700287fa50d18 | MATLAB | 2,505 | 85 | function P = DB_GetUnitProps2(unit_id,group_id,regexp,conn)
% P = DB_GetUnitProps2(unit_id)
% P = DB_GetUnitProps2(unit_id,group_id)
% P = DB_GetUnitProps2(unit_id,group_id,regexp)
% P = DB_GetUnitProps2(unit_id,...,conn)
%
% Retrieve and sort unit properties.
%
% This function is updated and provides a bette... |
2bd1a4c93df0b1b0355c02bb267bc18eeb41496f5704ce0bafa680f6e2091b4e | MATLAB | 2,506 | 89 | function [] = plotGLMFit(paramStruct, R_sample_stim, R_sample_stim_dirOnly, bases, TaskInfo, figNum, titleStr)
% all filter coefficients are in paramStruct.W - this takes them out in the correct order
if(nargin < 7 || isempty(titleStr))
titleStr = '';
else
titleStr = sprintf('%s\n', titleStr);
end
%% get stim... |
b9cabe7b1c1595bcc2d38b4d3bd14401b0b98f3d53a6185ccab4b66654276748 | MATLAB | 2,506 | 60 | %% automaticPhaseCorrection_voigt.m
%
% part of https://github.com/LudgerS/MRSartifactRemoval
%
% Fits complex Voigt peaks to the spectrum starting from multiple different
% phase values. The best fitting peak's phase is used to correct the data.
%
% All input variables should use the same units:
% specAxi... |
582a80702be6f11ba59d919044c2f6ad7c7a59d7145a3b9fa068681dab720089 | MATLAB | 2,508 | 62 | function [r,r_shuff] = getEigenSpectra(db,P,compDimP)
focusOnList = compDimP.focusOnList;
doitOn = compDimP.doitOn;
pcL = compDimP.pcL;
shuff = compDimP.shuff;
r.Cov_comp = nan(numel(pcL),2,P.nMice,numel(focusOnList));
r_shuff.Cov_comp = nan(numel(pcL),2,P.nMice,numel(focusOnList),shuf... |
de75b8ae2cdcf1a708371324198b2510c30d138d8b6e74754ab186c88115a81a | MATLAB | 2,509 | 96 | function CircleCapture( hFig, hAxes )
%CircleCapture: Spin the target in a circle taking pictures
FrameNumber = 0;
tilt = 0;
angle = 0;
step = 1;
%Figure out where the camera should be when circling the target
view(0,0);
drawnow
XYva = camva;
view(0,90);
drawnow... |
37a2d6b690f91d7845a4319a51643a29f833539eadc4fe03881aea1dd872f91b | MATLAB | 2,510 | 115 | function [names,onsets,durations] = mrk_maker(data, subjID, chID, chEV, fs)
% Force bit channel to be binary
dataAux = zeros(size(data));
for i = [chID chEV]
zmark = zscore(data(i,:));
zmark(zmark<=0) = 0;
zmark(zmark>0) = 1;
dataAux(i,:) = zmark;
end
% Subject of interest's mask
subjmas... |
46911e07a10938a4c737813fcf8eb80dcb1629f054a8926025e0861e932a3e98 | MATLAB | 2,510 | 73 | % Sample object to test data persistence functions and user controls.
% Copyright 2008-2009 Levente Hunyadi
classdef SampleObject
properties
% A scalar of the standard MatLab type.
RealDoubleScalar = pi;
% A matrix of the standard MatLab type.
RealDoubleMatrix = [1.5,2.5;3.5... |
3519b4fef9c35b45f0568ffd8acd9c0e9e6470649fd03975d036bc0cc2b55ddd | MATLAB | 2,513 | 68 | function theta = getStandardParameters(theta,type,widthalpha)
% this function transforms a parameter given in threshold, width to a
% standard parameterization for comparison purposes
%function theta = getStandardParameters(theta,type,[widthalpha])
% theta = parameter
% type = Name of the Sigmoid
%
% if you changed th... |
6d059e852e944733810c5d3693a47ba89e53ca2fd35821a7f6cfb47ddf423ded | MATLAB | 2,513 | 97 | ssstrialList=vertcat([1,2,4], [1,2,2], [1,3,4], [1,3,3],...
[2,1,3], [2,1,1], [2,4,3], [2,4,4],...
[3,1,2], [3,1,1], [3,4,2], [3,4,4],...
[4,3,1], [4,3,3], [4,2,1],[4,2,2]);
trialList = trialList(1:4,:);
numReps = 10; %number of times to repeat each trial type
results = repmat(horzcat(trialList, zeros(size... |
78c984343864709911ef1bfc3d516b44e3024eecee2009b8c1342bbaa4f529cf | MATLAB | 2,516 | 80 | function P = DB_GetUnitProps(unit_id,group_id)
% P = DB_GetUnitProps(unit_id)
% P = DB_GetUnitProps(unit_id,group_id)
%
% Retrieve and sort unit properties.
%
% group_id should be a string and is used in the database query to narrow
% what is returned from the database. The actual search query uses 'REGEXP'
%... |
a9369b8ed04dedb040389ca8f94b6cd1179661372fe6a9e692fde2b1e02573f5 | MATLAB | 2,519 | 71 | %% define local paths
% raw and preprocessed data -- direct to directory containing data from OSF
dat_path = 'D:\SWS_NVS\data\';
if ~exist(dat_path, 'dir')
dat_path = '/Users/thandrillon/Data/SWS/';
if ~exist(dat_path, 'dir')
warning('Unable to locate Data directory... need to update path in `def_local... |
d45edee1c5a06d519d47f0108fd28e3102712a14727d82a4f6bdb2c51f995216 | MATLAB | 2,519 | 129 | % fresh start
clearvars
close all
%% run config
config_file='config_mammals_1.m';
addpath(strcat(pwd,'/config'))
run(config_file);
%% read in proc spreadsheet
filename = [ DD_PROC '/MamiNum_corrected_proc.txt' ] ;
ssheet = readtable(filename,'Delimiter','\t') ;
data_dir = [ DD_RAW '/xkperm/' ] ;
%%
n_animal = si... |
a9abc1af309ad4c41624e07c07bb5644222942779ef64a9d35172e23b4c3a5ad | MATLAB | 2,525 | 91 | function data = ft_read_spikes_tdt(cfg)
% data = ft_read_spikes_tdt(cfg)
%
% Read continuous (LFP) data from TDT Tank and convert for use with
% FieldTrip toolbox
%
% cfg.tank ... Full path to tank and tank name is required if tank is
% not registered. If tank is registered, then just the
% ... |
59ecdb5af36e0c7a991122907543ed98c06c99eaaadc9fa8b23d4c35e8c0966d | MATLAB | 2,528 | 70 | function templates = makeDecodingTemplates(tb,times,bw,sigma,shoulder,plotYN)
if nargin<5
sigma = 4; % kernel standard deviation (s)
shoulder = 2; % Time ranges to draw kernel over (sigmas)
plotYN = false;
end
vector = zeros(length(times),length(tb));
templates.kernel = cell(length(t... |
0faab17754a6d53cf74fe7cda1ccc082dc0e0f439cc8d4d2a0df2a617e187488 | MATLAB | 2,533 | 70 | % eegplugin_visualareatemplate() - EEGLAB plugin for fitting data using
% visual area templates
%
% Usage:
% >> eegplugin_visualareatemplate(fig, trystrs, catchstrs);
%
% Inputs:
% fig - [integer] EEGLAB figure
% trystrs - [struct] "try" strings for menu callbacks.
% ... |
9217be7debf464877d7c00a4506cdd0d93922459ecc48257d6f6aa9a747a97de | MATLAB | 2,534 | 80 | clear
Targets = {'SHORT','MEDIUM','LONG'};
Delays_ = {'Short','Medium','Long'};
bw=0.05;
warning ('off')
pat = 'C:\Analysis\AssemblyAnalysis\raw';
cd(pat)
fileList=dir('allTimestamps\*.mat');
Areas = {'HP','PFC'};
%%%%%
iFile =1%:length(fileList)
iArea =1% 1:length(Areas)
%%%%%
%% Load an exam... |
87813b805c26e2e0ba07d3004ac2bca738e0266deda4db4a244b11866e703d94 | MATLAB | 2,536 | 73 | %% setupHMCparams returns default setup for HMC
% inputs (optional):
% nWarmup (default = 25000) : number of warmup samples (to be discarded later)
% nSamples (default = 50000) : number of samples to take post warmup
% debugSettings (default = false) : if true, changes settings for a debug run (fe... |
e6d2b50a82fb6ec56d650f678120bb2c833cffe6a978960972e29d0fc43af689 | MATLAB | 2,539 | 88 | clc; clear; close all
Fig7b=figure();
N_mu=500; %There are \mu independent embedded patterns, 500 simulations (number of simulations)
Ntrials=5000; %number of learning cycles
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%R=1
yline(1,'--','LineWidth',2,'HandleVisibility','off');
ho... |
1a1693b0074e1958324e0eeb4fa07ced53157141e11e1fa71d642db9e99fd1bc | MATLAB | 2,540 | 69 | %% Setup
util.clearAll;
outdir = fullfile(util.get_paths().figs,'chord_modularity');
util.mkdir(outdir)
region_names = util.str.chord_ROIs().modules_tbl;
colors = util.plot.colors_modules();
%% Setup graph
% Read beta values and calculate their correlation
beta_tables_taste = util.load.all_taste_betas();
% Work wit the... |
6ae0f423aec697506fed1d05fcec5f98062f2af0cc2adae0464e404bf0dc5b18 | MATLAB | 2,540 | 76 | function [] = cosmeticsSave(fh,ax,x_width,y_width,outputFolderLocal,fileName,...
xtickMinor,ytickMinor,removeDashedLinesForBoxplot)
% cosmeticsSave prepares and saves the figure panel. This is done by
% setting figure and axes properties
% INPUT: fh: The figure handle object
% ax: axes handle object
% ... |
3342e25d6c760e772b7c7945e47d3aa334ad21672e02478bbcf7fd32c4245ff7 | MATLAB | 2,548 | 74 | function im = previewprairieview(dirname, numFrames, firstFrames, channel)
% PREVIEWPRAIRIEVIEW - Preview PrairieView image data
%
% IM = PREVIEWPRAIRIEVIEW(DIRNAME, NUMFRAMES, FIRSTFRAMES,CHANNEL)
%
% Read a few frames to create a preview image. DIRNAME is the
% directory name to be opened, and NUMFRAMES is th... |
6ab57113ee8d80d71f6593c40e6c4bb593ed6e0897dc8a322034ee6e94dbcdb9 | MATLAB | 2,549 | 88 | function compare_extruded_all_AS()
modelExtr = select_and_load_model();
modelBranch = select_and_load_model();
nAsPerLayer = 5;
nLayerUpDown = 3;
nAS = (nLayerUpDown*2+1)*nAsPerLayer;
%nAS = 25; % manual to select only the first
% 4 for subj1 branch 1-35
% [5, 6] for subj1 extr 1-35
% 8 for subj1 branch... |
8cf5a50fad8f52e831b9ead572d1a87d6e2f16443d14fdf4079ac2c24eb68cfa | MATLAB | 2,550 | 71 | function params=tpreadconfig( tpdirname )
%TPREADCONFIG read twophoton experiment config file - Inscopix
%
%
% PARAMS. =
% params.Main.Total_cycles (total number of cycles)
% params.Main.Scanline_period__us_ (scanline period, in us)
% params.Main.Dwell_time__us_ (pixel dwell time, in us)
% params.Main.Frame_per... |
5b7729c836f9d87a42e14e5c97eed08a1336e5d24f0e94c9c7927aba627783cc | MATLAB | 2,551 | 76 | function [tok] = tokenize(str, sep, rep)
% TOKENIZE cuts a string into pieces, returning the pieces in a cell array
%
% Use as
% t = tokenize(str)
% t = tokenize(str, sep)
% t = tokenize(str, sep, rep)
% where
% str = the string that you want to cut into pieces
% sep = the separator at which to cut... |
49ae0679559cd976cbf80734e62c6bf775d5287e603d23020775d0c1ab49c3db | MATLAB | 2,553 | 86 | function [EEG,m_neigbr_r,chandist,y,chan_win_sd]=chan_neighbour_r(EEG,nneigbr,method,varargin)
g=struct(varargin{:});
try g.chan_inds; catch, g.chan_inds=1:EEG.nbchan; end;
try g.epoch_inds; catch, g.epoch_inds=1:EEG.pnts; end;
try g.plot_figs; catch, g.plot_figs='off'; end;
tmp.chanlocs = EEG.chanlocs(g.cha... |
d7abc142e55c7489ad41d8f25ceaa1db4fc37d98916cd32799536eee65dd1194 | MATLAB | 2,554 | 74 | function img = flowToColor(flow, varargin)
% flowToColor(flow, maxFlow) flowToColor color codes flow field, normalize
% based on specified value,
%
% flowToColor(flow) flowToColor color codes flow field, normalize
% based on maximum flow present otherwise
% According to the c++ source code of Daniel Scharstein... |
d7487f6c60764b3ab074f2bac40b27ccae5c2aee37575b5b4d0e26134ab2e7b1 | MATLAB | 2,556 | 56 | % Quality control Q2
% Plot the segmented images in MNI space and plot the MNI template as a
% reference
% Xin Di, July 13, 2022
clear
subjfolder = dir('F:\fMRI_QC\fmri-open-qc-rest_bias_corrected\sub*');
for subji = 1:length(subjfolder)
imgs = char(['F:\fMRI_QC\fmri-open-qc-rest_bias_corrected\' subjfolder(subj... |
fcf5ebb814bc7717e38ff01325602ababf867b53bebbed475380422901aee2c3 | MATLAB | 2,559 | 64 | function [freq, q, qLo, qUp, effRecrMean, effRecrLo, ...
effRecrUp, collRecrMean, collRecrLo, collRecrUp] = ...
sinusoidalPW_stim(t, var_in, var_in_min, var_in_max, pw_min, ...
pw_max, q_max, freq_stim, recrNormIa, recrNormIb, recrNormAlpha, ...
recrNormII, recrNormTouch, Q)
% INPUT:
% -... |
88b4377807633e78b6b104e336591cfca4eac82aef8c4dd868cdd66ed75b64f9 | MATLAB | 2,560 | 86 | function Eigenvalues
% Script recreates figure 8 from the manuscript. This compares the
% distribution of mean real part of the dominant eigenvalue for each subject
% across algoritms.
sims = 100;
subjects = 20;
FS1 = 7; % fontsize
% load eigenvalue results
load('Eigenvalues_domiant_real_part.mat')
moea20 ... |
94225f51f18a0765e3f89cd8134b5fba5c194a06f02c50aeb6d612cefc20a2cc | MATLAB | 2,560 | 70 | % Collect interim single cell data from KDE convert code into HP and PFC archives
%
% Aleksander PF Domanski PhD UoB 2015
% aleks.domanski@bristol.ac.uk
%
% You need to run this after big batch jobs on Blue Crystal to gather all
% individually saved single unit files into one population .MAT file.
%% Collate HP cells
... |
8c39626d13339c387677071e03e8eddc1ad0529a9bbfb9e886d118634d051bf9 | MATLAB | 2,574 | 94 | % Find mainmovement2 - find when they are actively controlling the force
% sensors
function [starttime,endtime] = findmainmovement2(subject,trial,toplot,dataType,filtered,forcerate)
if nargin<3 || isempty(toplot)
toplot = 0;
end
if nargin<5 || isempty(filtered)
if dataType==0
global filtered forcerate... |
58c07d7c47d6249fd9140aedc98ceab22e54048d89e563c5195b939faad1956c | MATLAB | 2,575 | 124 | function varargout = PlotDensity(raster,values,varargin)
% PlotDensity(raster,values)
% PlotDensity(raster,values,'Parameter',value)
% D = PlotDensity(raster,values,...)
% [D,h] = PlotDensity(raster,values,...)
%
% Takes raster input (see PlotRaster) and creates a surface plot of a
% 2D histogram from the data.
%
%
... |
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