sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
f30051bf88dbf82b19d56d1f671b16b669f28b37dae78f4b3cd00feccb387baf | MATLAB | 10,470 | 277 | function varargout = ResultsViewSetting(varargin)
% RESULTSVIEWSETTING MATLAB code for ResultsViewSetting.fig
% This GUIDE dialog returns atlas settings for Results View.
%
% Usage:
% settings = ResultsViewSetting(oldSettings)
%
% Returned fields:
% Enabled
% VolumeSpaceCortexAtlas
% VolumeSpaceSubcorticalAtlas... |
53664c2882f8560e4fb27c5796369f9790b9a35bbc20751f3220440f80261a62 | MATLAB | 10,471 | 332 | function ft_plot_matrix(varargin)
% FT_PLOT_MATRIX visualizes a matrix as an image, similar to IMAGESC.
% The position, width and height can be controlled to allow multiple
% matrices (i.e. channels) to be plotted in a topographic arrangement.
%
% Use as
% ft_plot_matrix(C, ...)
% where C is a 2 dimensional MxN matr... |
e3468e460290e9861e43304f5887f5f42b76c428451330a6e78edf3cbf8ae296 | MATLAB | 10,471 | 251 | for q=1% Sheet number
test_duration = 900; %total time in seconds
[time]=xlsread('Test',q,'A:A'); %time values
[F_value]=xlsread('Test',q,'B:B'); %F values
[TTL]=xlsread('Test',q,'C:C'); %TTL pulse values
F_DIF=[];
Pulse_points=find(TTL==5.00001);%Fiber photometry and video recording of the animal behavior was... |
d3a4771d709fe49a15ec943c9f79740730bb50b5c32ff980f66c2090cda7a0a4 | MATLAB | 10,472 | 322 | function [ CF ] = Cost_Function (xopt)
NineMuscleMorphParaInitial = load('NineMuscleMorphParaInitial.mat');
NineMuscleMorphParaInitial = NineMuscleMorphParaInitial.NineMuscleMorphParaInitial;
G = 6; % Muscle Group Number (G = 1 to 9)
x0(1) = NineMuscleMorphParaInitial{G, 1}.MorphologicalParameters.OW.a1OW;
x0(2) = N... |
4e3453c9c9fadc5efc4ed20a10858871eb53ea3af81eaaec7c8b99a5ede26871 | MATLAB | 10,476 | 318 | function meg_manuscriptFigs_TE_byPrecue_mdlFit_2Hz_pies
% function meg_manuscriptFigs_TE_byPrecue_mdlFit_2Hz_pies.m
% 2 Hz phase by attention, in fittedP structure
%% Load data
user = 'kantian';
% Model fit data
filename = sprintf('/Users/%s/Dropbox/github/ta-meg-analysis-model/model_anticipatory/ITPCfit_separate1_... |
b33207d90f62778383199f2a79ba25468165bb2e59d57a31ac75d2d4649b6e6a | MATLAB | 10,478 | 267 | function [event] = read_trigger(filename, varargin)
% READ_TRIGGER extracts the events from a continuous trigger channel
% This function is a helper function to read_event and can be used for all
% dataformats that have one or multiple continuously sampled TTL channels
% in the data.
%
% This is a helper function for ... |
9ecae5822c28e54a60d8a6da503a64979764dce9ddd0c12902d2f6489646e658 | MATLAB | 10,487 | 262 | %% This script analyzes PF map correlations for PFs calculated from subsets of trials
% gridAnalysisPlaceFieldReliability.m
%
%
myPlotSettings
%% Set up and load data
% Choose results to analyze
decodeFileID = "mainPaperGrid"; % Select which decoding file result ID to analyze
% Param set [2,3] for (mcn=1.25, cluster... |
5d1dc345b87d62628a2b3603c4363e005bfdc27356d235d8cec2e5879fd35854 | MATLAB | 10,491 | 262 | function Out=dpcaAnalysis(firingRatesAverage,firingRates,trialNum,time,varargin)
% defaults
dPCA_noReg=1;
dPCA_Reg=1;
% lambdas=1e-07 * 1.5.^[0:1:20];% allows less regularized
% lambdas=1e-07 * 1.5.^[0:1:30]; % allows even more regularized
lambdas=1e-07 * 1.5.^[0:1:25];% default
% lambdas=1e-07 * 1.5.^[0:1:23];% defau... |
d3e8523be9a287dea162ea4bf0e499bc39e57f8ca86782176026c587fa556673 | MATLAB | 10,494 | 257 | function chanunit = ft_chanunit(input, desired)
% FT_CHANUNIT is a helper function that tries to determine the physical
% units of each channel. In case the type of channel is not detected, it
% will return 'unknown' for that channel.
%
% Use as
% unit = ft_chanunit(hdr)
% or as
% unit = ft_chanunit(hdr, desired)
... |
c6269e5f28171e92a6e6f998557bc9b14aba3a84d6c4595cafcdf1b57d3e524d | MATLAB | 10,496 | 312 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
function eeg_prepro_loop_calc_cca(subject, nerve, srmr_nr, ref_chan, plot_graphs)
%% set variables
subject_id = sprintf('sub-%03i', subject);
save_path = [getenv('EEGDIR') subject_id '/'];
cfg_path = getenv('CFGDIR');
% get condition info
if nerve == 1
nerve_name = ... |
ec1934ac5d3621407630bacacadb8561dbdca2c70a774cd7391011d484173cc4 | MATLAB | 10,497 | 253 | function extract_replay_info_batch_randomised_dataset(folders)
% % Extract information cross experiment shuffles
% shuffles={'PRE spike_train_circular_shift','PRE place_field_circular_shift','POST place bin circular shift'...
% ,'POST time bin permutation','PRE cell_id_shuffle'};
%
% for n = 1:length(shuffles)
% ... |
09c3255eff4edcc3f7c184d663f82437adcd314c083432c95d8e0268cf2691e9 | MATLAB | 10,507 | 375 | % AUTHORSHIP
% Primary Developer: Stephen Meehan <swmeehan@stanford.edu>
% Math Lead & Secondary Developer: Connor Meehan <connor.gw.meehan@gmail.com>
% Bioinformatics Lead: Wayne Moore <wmoore@stanford.edu>
% Provided by the Herzenberg Lab at Stanford University
% License: BSD 3 clause
classdef TreeMa... |
dd14c9ad5c9ddadbf72bb13377ec496592a3b51a4ba6702aa46ed0a4652c52a2 | MATLAB | 10,509 | 335 | function ft_plot_matrix(varargin)
% FT_PLOT_MATRIX visualizes a matrix as an image, similar to IMAGESC.
% The position, width and height can be controlled to allow multiple
% matrices (i.e. channels) to be plotted in a topographic arrangement.
%
% Use as
% ft_plot_matrix(C, ...)
% where C is a 2 dimensional MxN matr... |
19a94c20e6f244cda53878527feef3cf4e6929af5a72d36b2101be1cdfec05f9 | MATLAB | 10,510 | 321 | function [source] = ft_source2full(source)
% FT_SOURCE2FULL recreates the grid locations outside the brain in the source
% reconstruction, so that the source volume again describes the full grid.
% This undoes the memory savings that can be achieved using FT_SOURCE2SPARSE
% and makes it possible again to plot the so... |
cf292e52a11acfc6fc6517c3e96ff5e5c645dfe3d3f3458ee4146904c7f8e37a | MATLAB | 10,511 | 321 | function [source] = ft_source2full(source)
% FT_SOURCE2FULL recreates the grid locations outside the brain in the source
% reconstruction, so that the source volume again describes the full grid.
% This undoes the memory savings that can be achieved using FT_SOURCE2SPARSE
% and makes it possible again to plot the so... |
d142f9b51d5c22cf77f85820fad72998ce6da7323afda230b3086e639b90264f | MATLAB | 10,511 | 505 | %
%emata(PET_dyn_path, t_PET_delta, out_path)
%
%Optional parameters
%
%emata(PET_dyn_path, t_PET_delta, out_path, 'MoCo', MOCO_flag)
% MOCO_flag = 1 or 0 (default = 1)
%
%emata(PET_dyn_path, t_PET_delta, out_path, 'Patlak', PATLAK_flag)
% PATLAK_flag = 1 or 0 (default = 1)
%
%emata(PET_dyn_path, t_PET_delta, out_path,... |
f17e16739d56dccde67700b772b04616bcdd3bb78f77ec25bfd476d61757a039 | MATLAB | 10,517 | 300 | function imgzoompan(hfig, varargin)
% imgzoompan provides instant mouse zoom and pan
%
% function imgzoompan(hfig, varargin)
%
%% Purpose
% This function provides instant mouse zoom (mouse wheel) and pan (mouse drag) capabilities
% to figures, designed for displaying 2D images that require lots of drag & zoom. For mor... |
20a6809ff9161433620b35629028545c4424e896f4d781e73bb04a61674a0759 | MATLAB | 10,524 | 204 | function pyramid = chnsPyramid( I, varargin )
% Compute channel feature pyramid given an input image.
%
% While chnsCompute() computes channel features at a single scale,
% chnsPyramid() calls chnsCompute() multiple times on different scale
% images to create a scale-space pyramid of channel features.
%
% In its simple... |
cbdd73cee3b12849bda4b7adb43dfbfbccd1175f6c24bb2424bf1e6b60baea81 | MATLAB | 10,533 | 222 | function meg_Fig5b_TE_allTrials_mdlFit
% Plot ITPC all trials with model fits (linear, and linear+periodic)
% Fig5b
%% Load data
filename = 'figData/ModelFit_freeFreq_group.mat';
load(filename)
%% Figure settings
titleVis = 0; % if title vis off, then will plot for appropriate manuscript size
showN = 1; % show n =... |
b2822e2f9546bdd300c5c1418165c307a64d54f6abd84f0be4e3f3c1859f19b8 | MATLAB | 10,543 | 274 | % This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
c6f92cdb23e5f1e6b18865f0e23837d6fb8d7caa464016fbe959e52ae92dddba | MATLAB | 10,546 | 258 | function command = trackCodeGenBase(totrackinfo, varargin)
% Generate the case command for tracking. Returned command uses WSL paths. This is a static method of DLBackEndClass.
% Serial mode:
% - movtrk is [nmov] array
% - outtrk is [nmov] array
% - trxtrk is unsupplied, or [nmov] array
% - view is a *scalar* and *... |
416658e271e7ecd3c817055e0908cc3d8eb2a4a50ff2132782acf2b8059d20e5 | MATLAB | 10,548 | 426 | % Field Trip-related test scripts - Extracting bursts from FT data.
%
% See LICENSE.md for distribution information.
%
%
% Includes.
do_ft_init
%
%
% Configuration.
% Data reduction, for fast tests.
use_one_band = false;
%one_band_chosen = 1; % Theta.
%one_band_chosen = 2; % Alpha.
%one_band_chosen = 3; % B... |
85ed85b83a093733f24f7c137a9aaca7dca544426faa6d1d46dee8618f704b65 | MATLAB | 10,548 | 309 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
function esg_prepro_loop8_cca(subject, nerve, srmr_nr, plot_graphs)
%% set variables
subject_id = sprintf('sub-%03i', subject);
analysis_path = [getenv('ANADIR') subject_id '/esg/prepro/'];
save_path = [getenv('ESGDIR') subject_id '/'];
cfg_path = getenv('CFGDIR');
% ge... |
10cffb8d1dacb315e4875ac2e38ef354a1f30d735f790757e287d5ed6723f126 | MATLAB | 10,554 | 288 |
%shortcut to save matlab workspace memory
test_img_size();
%actual
%[mini, full, lens, img_blur_fft, img_blur_cuda, img_blur_cuda_1GPU] = test_img_size();
%save('conv_data_8th.mat', 'mini', 'full')
%if ~exist('conv_data.mat')
%[mini, full, lens] = test_img_size();
%save('conv_data.mat', 'mini', 'full')
%else... |
24362d57dc2ff600fd246cba514c6b907bdea907d7e274ab1569ce65c2460710 | MATLAB | 10,564 | 262 |
function [output, Greg_tot] = dftregistration(buf1,buf2,buf2tot,usfac)
% function [output Greg] = dftregistration(buf1ft,buf2ft,usfac);
% Efficient subpixel image registration by crosscorrelation. This code
% gives the same precision as the FFT upsampled cross correlation in a
% small fraction of the computation time ... |
8dfd236631f6848c9819432912eb6ce1e34f005cd438cdfe18cf2172aee1c0c8 | MATLAB | 10,570 | 165 | function ChannelMap = LoadSubjectChannelMap(SubjectID)
valid_subject_ids = {'BCI02', 'BCI03', 'CRS02', 'CRS07', 'CRS08'};
if strcmpi(SubjectID, 'all')
ChannelMap = cell(size(valid_subject_ids));
for s = 1:length(valid_subject_ids)
ChannelMap{s} = LoadSubjectChannelMap(valid_subject_i... |
6dc4f3a032d86a3eb0481af411d281ef47be9842bbda0534199f2e907d0dea8b | MATLAB | 10,578 | 258 | function [acc, loss] = CBIG_KRR_innerloop_cv_allparams_LITE( test_fold, sub_fold, num_inner_folds, ...
data_dir, y_resid_stem, with_bias, ker_param, lambda_set, threshold_set, metric )
% [acc, acc_concat] = CBIG_KRR_innerloop_cv_allparams_LITE( test_fold, num_inner_folds, ...
% outdir, y_resid, ker_param, lamb... |
4c779a34565cbf52237462704f53f8a2d764a454529bf8915819c490d557d2ce | MATLAB | 10,585 | 282 | function [model, loglikHist] = hmmFitEm(data, nstates, type, varargin)
%% Fit an HMM model via EM
% Interface is identical to hmmFit
%%
% This file is from pmtk3.googlecode.com
if ~iscell(data)
if isvector(data) % scalar time series
data = rowvec(data);
end
data = {data};
end
model.nstates = nstat... |
27c5f4d86602793de3bb2ca33dbb10933b1133bfee110f763cabb3e4580c9019 | MATLAB | 10,589 | 228 | %% Script to make struct array for ACR1 tracked data
% This only works with speicific folder,subfolder arrangement as in
subFolders = dir(pwd);
realSubFolders = subFolders([subFolders.isdir]');
realSubFolders = realSubFolders(3:end);
% Initialise video temporal parameters
fps = 30; %frames per second
trialDu... |
e0e4ab93f040dc553d8bd660cf9f2179640a2c135141d097324e3ec231ef7390 | MATLAB | 10,595 | 260 | %-------------------------------------------------------------------------
% Author: Brandon S Coventry
% Goal: To transform data from raster into Infotheory toolbox (Timme) form
% Date: 01/10/2023
%--------------------------------------------------------------------------
%Data storage shape
% n stimulus conditi... |
05fb7aadd6f7147c8395ce81f6c4b7cedffe11b33ce15ce4e16ba2d061a9c079 | MATLAB | 10,602 | 247 | function plotVelocityAnalysisFigs(DarkData)
%% This script reproduces the bump velocity results in Figure 1 of Noorman et al 2024
% Concatonate each fly's data across trials
[FlyData]=Combine_Data_Across_Trials(DarkData);
% Make directory to save plots to
PlotDir = 'velocityAnalysis_Figures/';
if ~isdir(Plo... |
8859efee2bc1cd39da897986763785ea167b645af83d6b1777ac15a27394370b | MATLAB | 10,608 | 303 | % Set up format of simulation data to match mediation analysis
medA = load(fullfile(saveLoc, 'for_plots_mediation_norm_to_se'));
% sim_dat = load(fullfile(saveLoc, 'race_model_simulation'));
% use race model with lower bound to simulate traces
% [S,P] = simRace2DDM(t, varargin)
numTr = 60000;
t_sim = (0:... |
e67abe38e270bcf7083aeec5129da2b69a0deebc15c954fdcf2b8ff4db61ee51 | MATLAB | 10,610 | 219 | function NMJ_Region_Selector_Basic(BoutonSelectionDisplayImage, dilateSize, min_pixels, fudgeFactor,AllBoutonsRegion1)
OS=computer;
if strcmp(OS,'MACI64')
dc='/';
else
dc='\';
end
pwd;
currentFolder = pwd;
[upperPath, deepestFolder] = fileparts(currentFolder);
[ret, compN... |
7a40fcab8e9aaf8b0da69a15420bbd17667264dce7f79893d6edf41fd8b8d05d | MATLAB | 10,617 | 382 | function CBH = cbfreeze(varargin)
%CBFREEZE Freezes the colormap of a colorbar.
%
% SYNTAX:
% cbfreeze
% cbfreeze('off')
% cbfreeze(H,...)
% CBH = cbfreeze(...);
%
% INPUT:
% H - Handles of colorbars to be freezed, or from figures to search
% for them or from ... |
beb92dfefadc956732035b5f2692274378720ee5556c656276fdeabb17205a06 | MATLAB | 10,618 | 197 | %% Decription
% This example simulates a collimated top hat beam of radius 300 µm
% incident on skin, with some gel (water) on the top. This example is
% constructed identically to that on the mcxyz website, except that photons
% escape on all boundaries and the voxel grid is only 100x100x100:
% https://omlc.org/softwa... |
516317d32aece45fb98ab3f728f7f6c5f71a992295323de53b8d77885bcd80bd | MATLAB | 10,630 | 392 | function varargout = boundedline(varargin)
%BOUNDEDLINE Plot a line with shaded error/confidence bounds
%
% [hl, hp] = boundedline(x, y, b)
% [hl, hp] = boundedline(x, y, b, linespec)
% [hl, hp] = boundedline(x1, y1, b1, linespec1, x2, y2, b2, linespec2)
% [hl, hp] = boundedline(..., 'alpha')
% [hl, hp] = boundedline(... |
a72047ddd36cf5e11de5926fc5691465fb76bc732118da00f677f2a942475ee5 | MATLAB | 10,634 | 199 |
function [glob_avg1,glob_avg2,glob_avg3,glob_avg4,glob_avg5,glob_avg6,glob_avg7,glob_avg8] = assembly_trig_avg_pool (traces, pyr_id, int_id, si_img, TRace, RasterRace, CellCl, PCl, C0)
windowSize = 200; %in frames
x = -windowSize/2:1:windowSize/2;
n_int_in_assembly = sum(sum(CellCl(:,int_id)));
pyr_out_assemblies =... |
51e23c3cc02b640036537cccf5d672e98f04363f2b1c54ee1e41b401aa71c9b9 | MATLAB | 10,639 | 276 | function [dataout] = ft_denoise_dssp(cfg, datain)
% FT_DENOISE_DSSP implements a dual signal subspace projection algorithm
% to suppress interference outside a predefined source region of
% interest. It is based on: Sekihara et al. J. Neural Eng. 2016 13(3), and
% Sekihara et al. J. Neural Eng. 2018 15(3).
%
% Use as... |
190f42845b6a4de28836090cdb303ff9790b2abca0ba8de9c801a1e04fede71a | MATLAB | 10,659 | 299 | % loadeeg_lan() - load a binary data file in Neuroscan .eeg file format.
%
% Usage:
% >> signal = loadeeg(filename);
% >> [signal, accept, typeeeg, rt, response, chan_names, pnts, ...
% ntrials, srate, xmin, xmax] = loadeeg( filename, chanlist, ...
% triallist, typerange, accepttype, rtrange, responsetype);... |
3df639bc4a8742fb4f2c42df60d60eb3aac65d730b0faa00f2b0b720649a6a33 | MATLAB | 10,661 | 326 | function [Regions,RgMeans] = lme_mass_RgGrow(SphSurf,Re,Theta,maskvtx,nst,prc)
% [Regions,RgMeans] = lme_mass_RgGrow(SphSurf,Re,Theta,maskvtx,nst,prc)
%
% This function implements a region growing algorithm along the spherical
% surface to find homogeneous regions comprising locations with similar
% covariance compo... |
67174383b30cb35ccdabe4a46e9d19c7cbdb7f13957ee87982ac05f5dc20b87a | MATLAB | 10,661 | 227 | function root = dtfit(X,y,varargin)
% Fit a simple classification or regression tree. Rows of X represent
% examples, columns are features. Target 'y' can be continuous or
% catagorical, single or multivariate. Automatically infers type:
% classification or regression. Features can be either binary or
% continuous... |
f4c23a82e934e044ba586206f565c9751524a5045b584721cc270179aeadde94 | MATLAB | 10,664 | 59 | %Step 1 of CBIG Kong2019 Brain Parc Pipeline
%
%To run: 1. Open Matlab using salloc (ex: `salloc --mem-per-cpu 200G --time 2:00:00 --x11`)
% 2. source your config file containing the $CBIG_CODE_DIR variable
% -It might be helpful to `cd` to the $CBIG_CODE_DIR/stable_projects/brain_parcellation/Kong2019_MSHBM/step1..... |
2929876f92e4ab82058c0a64437808d63860d3bbafebfd402b8dcde941846a22 | MATLAB | 10,666 | 204 | function [DegreeCentrality_PositiveWeightedSumBrain, DegreeCentrality_PositiveBinarizedSumBrain, Header] = y_DegreeCentrality(AllVolume, rThreshold, OutputName, MaskData, IsNeedDetrend, Band, TR, TemporalMask, ScrubbingMethod, ScrubbingTiming, Header, CUTNUMBER)
% [DegreeCentrality_PositiveWeightedSumBrain, DegreeCentr... |
8bf78e2f4c27d50dd973fbc32afe4b047e49198af7a7e7f5ed635320790d1b74 | MATLAB | 10,666 | 219 | % Plots correlation between RUN and SLEEP replay dynamics
% INPUTS:
% 'scoring': 'wcorr','spearman' - in the future will add 'linear' (default: 'wcorr')
% 'control': 'fixed_rate','fixed_spike_count','
% global_remapped','rate_remapped','r... |
478d9e23ee1de748e610f62ee21fe96a371573295623853c6c9b90fc13486815 | MATLAB | 10,676 | 375 | function [xp,dxpdX,dxpdom,dxpdT,dxpdf,dxpdc,dxpdk,dxpdalpha] = project_points3(X,om,T,f,c,k,alpha)
%[xp,dxpdX,dxpdom,dxpdT,dxpdf,dxpdc,dxpdk] = project_points3(X,om,T,f,c,k,alpha)
%
%Projects a 3D structure onto the image plane.
%Same as project_points2, with the derivative with respect to the shape X (dxpdX) included... |
f78e18249ab0a5f2818cf04ade1361acce52e2b214983065640f14f2142fc6ad | MATLAB | 10,689 | 258 | function chanunit = ft_chanunit(input, desired)
% FT_CHANUNIT is a helper function that tries to determine the physical
% units of each channel. In case the type of channel is not detected, it
% will return 'unknown' for that channel.
%
% Use as
% unit = ft_chanunit(hdr)
% or as
% unit = ft_chanunit(hdr, desired)
... |
3dd28c58387754c7a88711582a0472b2409389c1b41d1d6ace075a33c955a441 | MATLAB | 10,692 | 287 | function X = VBA_random (name, varargin)
% // VBA toolbox //////////////////////////////////////////////////////////
%
% X = VBA_random (name, p1, p2, ..., [N, M, ...])
% generate random numbers following the requested distribution
%
% If you the MATLAB statistics toolbox, this merely serve as an overload of
% the ran... |
08a10fb273c94edb15f82412fcc4ea309dfe50cec092f6c8e25d401532d0b8ab | MATLAB | 10,694 | 283 | function latextable(X,varargin)
% LATEXTABLE produces a table for usage with LaTeX from a numeric array
% latextable(X);
% latextable(X,'PropertyName',PropertyValue,...)
%
% DESCRIPTION:
% latextable(X) produces a gerneic table without headers and asks the
% for a name and location for saving the file, X mu... |
62b3a3efd6e802d92b088287f9a50ea36c0639ee064b6d903259bb8860672e41 | MATLAB | 10,694 | 227 | function [StabilityBrain_LH, StabilityBrain_RH, GHeader_LH, GHeader_RH] = y_Stability_Surf_Window(WindowSize, WindowStep, WindowType, InFile_LH, InFile_RH, InFile_Volume, ROIDef, OutputName_LH, OutputName_RH, AMaskFilename_LH, AMaskFilename_RH, IsMultipleLabel, IsNeedDetrend, CUTNUMBER)
% [StabilityBrain_LH, StabilityB... |
3b5ad12bfd9a15661824b7965f18613e1966926124a953c71f5c90e87a6140f1 | MATLAB | 10,700 | 283 | %% Plot cortical sources for NeVRo study
% Project the spatial patterns from SSD, CSP, and SPoC into source space
% by using eLORETA.
%
% Launch this script from top level of the NeVRo repository.
% BEFORE RUNNING:
% - Download the "New York Head" Leadfield from https://www.parralab.org/nyhead/
% - make sure the file... |
469e2408f337af0465fe77407f148b98ccc29c782b05e3ce9ea173af6b024a33 | MATLAB | 10,700 | 362 |
loadParameters;
%Load the pixel_idxs list
filename_centroidsMOD = fullfile(params.punctaSubvolumeDir,sprintf('%s_centroids+pixels_demerged.mat',params.FILE_BASENAME));
load(filename_centroidsMOD)
filename_output = fullfile(params.punctaSubvolumeDir,sprintf('%s_finalmatches.mat',params.FILE_BASENAME));
load(filename_... |
fd5266cadd92185249a152ad4c68aaef8ac76ad494516d7c94a683648655b0f5 | MATLAB | 10,700 | 308 | function [Results]=SUA_BayesModelTwoThree(AllTrialData,Phase,unit,timeWindow,opts)
%%(AllTrialData,Phase,unit,timeWindow,opts)
% unit=[1 50 1];
% % Phase='Go1';
% timeWindow=[.5 1];
% opts.BaselinePhase='CueTarget'
model= 'FR~Condition';
LabelOrder={'Pinch' 'Press' 'Rub' 'Tap'};
cTrialData=Analyze.... |
4d42abfce413c6e0333bd2c2155742cfe809b616df2ddb44055c14d9dd7ea795 | MATLAB | 10,702 | 216 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
4ecc71414e5c35d6912d2a5ebac1f2233f190bed22b3c40f845a75c7a3e967b1 | MATLAB | 10,713 | 226 | % motor_behavior_period_structures.m
% Sarah West
% 12/9/21
% Splits the all_periods structure into a structure where each possible
% type of period is split into its own field. Is harder to read for humans,
% but will be easier for using with established code.
function [] = motor_behavior_period_structures(paramete... |
17a939595fb89bb833aecc56b4b6a2609cbaed60936aafb8e0ffb4a030eab440 | MATLAB | 10,715 | 346 | function lan_freq_event_plot(LAN_file,RT_file,freq)
% <°LAN)<]
% v.0.0.8
% ... en proceso!!!
%
% Marcelo Stockle
% Pablo Billeke
% 24.05.2013
% - Funciona para cualquier rango de frecuencias
% - Enfasar condicional
% 07.05.2013
% 09.04.2013
% 05.04.2013
% 02.04.2013
% 17.01.2013
% 16.01.2013
... |
4573b2cba8906909da67c64cc4c892575213a95e2c9a1e6606c9a88b77d302ec | MATLAB | 10,721 | 475 | %{
_ _
___ _ __ __ _| |__ ___ ___ _ __| |_
/ __| '__/ _` | '_ \/ __|/ _ \| '__| __|
| (__| | | (_| | |_) \__ \ (_) | | | |_
\___|_| \__,_|_.__/|___/\___/|_| \__|
# NNpredict
**Syntax**
```
NNpredict(self, channel)
```
**D... |
3dff550c2056dc5680d792d258eb62de0c0bd06637f5475ebe8c4f7de58ab48e | MATLAB | 10,731 | 262 | function acfSweeps
% Parameter sweeps for ACF pedestrian detector.
%
% Running the parameter sweeps requires altering internal flags.
% The sweeps are not well documented, use at your own discretion.
%
% Piotr's Computer Vision Matlab Toolbox Version 3.50
% Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com]
% Li... |
e92c0282b1e52ff7ba70d5e72de8583f36b8cd2002c31afa8cfbf028468fa405 | MATLAB | 10,733 | 388 |
function [LAN, latency ] = lan_latency(LAN, cfg )
% <*LAN)<]
% v.0.0.6
% from latencia.m
% Genera LAN.time para luego poder epoquira LAN.data continuo
% cfg. source % 'RT'
% 'event'
% cfg. ref % code of event mark of epoch (references)
% cfg.zero = 'stim' or 'resp' % take the stimuli or the respon... |
d4fc891997bb231d0ed00d5169582668725f5a1ffb160902870eec606e61a97d | MATLAB | 10,738 | 219 | clear
close all
clc
% addpath('/media/slohit/DATAPART1/Codes/CSCNN/NLR_codes/NLR_CS');
% addpath(genpath('/media/slohit/DATAPART1/Codes/CSCNN/D-AMP_Toolbox'));
addpath(genpath('..\TV_AL3\TVAL3_beta2.4'));
load experimentalData_GaussianMeasurements.mat
% Load phi
phi_0_10 = load('..\phi_suhas\phi_0_10_1089.mat');
phi_... |
773058114c2404407b041aea5b86c8b70077add17eb761347bb1865704ef187c | MATLAB | 10,740 | 304 | %% Bicluster Demo
%PMTKreallySlow
%%
% This file is from pmtk3.googlecode.com
function [] = biclusterDemo()
setSeed(0);
nRow = 100;
nCol = 30;
dummyData = zeros(nRow, nCol);
nLevels = 3;
%% First a really simple example
fprintf('First discover a bicluster in a really simple example -- binary data\n')
dummyData(5:5:... |
798fb716f6f12e9b0c44dd6ed7383baa67aa963dcfbfc08df56e5d9b497dc6bb | MATLAB | 10,753 | 269 | function Out=dpcaAnalysis(firingRatesAverage,firingRates,trialNum,time,varargin)
% defaults
dPCA_noReg=1;
dPCA_Reg=1;
% lambdas=1e-07 * 1.5.^[0:1:20];% allows less regularized
% lambdas=1e-07 * 1.5.^[0:1:30]; % allows even more regularized
lambdas=1e-07 * 1.5.^[0:1:25];% default
% lambdas=1e-07 * 1.5.^[0:1:23];% defau... |
b4e1328ea6fed95ebe4bcd90411be40ca360c81211ca092422a29b8ce1476e87 | MATLAB | 10,753 | 293 | function [varargout]=gscatter3(x,y,z,g,clr,mrksle,mrksze,mrkfclr,leg,legloc)
%------------------------------HELP START----------------------------------
% gscatter3 - 3D scatter plot by group
%
% Ussage:
% gscatter3(x,y,z,g);
% gscatter3(x,y,z,g,opt_param);
% opt_param - optional parameters... |
fbeb0d23fd9fe26bd69ffec95f825e45f8f7c74f752b5c71206d9825587d7d65 | MATLAB | 10,759 | 284 | function meg_plotERFMax
% finds max amp and max idx per target per condition per subject
% averages and plots
% April 2020
% mega group D
load('/Users/kantian/Dropbox/Data/TA2/MEG/Group/mat/groupD.mat')
load('/Users/kantian/Dropbox/github/ta-meg-analysis2/groupDataMat/TA2/D.mat')
% load('/Users/kantian/Dropbox... |
26525129587454884e87988f8ac6c800148f9353d26bab23ff4a5af57204f3ef | MATLAB | 10,770 | 213 | function [DegreeCentrality_PositiveWeightedSumBrain_AllWindow, DegreeCentrality_PositiveBinarizedSumBrain_AllWindow, Header] = y_DegreeCentrality_Window(WindowSize, WindowStep, WindowType, AllVolume, rThreshold, OutputName, MaskData, IsNeedDetrend, Band, TR, TemporalMask, ScrubbingMethod, ScrubbingTiming, Header, CUTNU... |
80b6211cbe76c7753ad488c55cfa9ceb2937e82c7a554238077daafdf52885d1 | MATLAB | 10,771 | 246 | %-------------------------------------------------------------------------
% Author: Brandon S Coventry
% Goal: To transform data from raster into Infotheory toolbox (Timme) form
% Date: 01/10/2023
%--------------------------------------------------------------------------
%Data storage shape
% n stimulus conditionsxre... |
67d9b44cfb4131d8aab6c6be08fa2bf39f518a1d85b3160e2d9c54a48e4849b7 | MATLAB | 10,777 | 269 | function hText = xticklabel_rotate(XTick,rot,varargin)
%hText = xticklabel_rotate(XTick,rot,XTickLabel,varargin) Rotate XTickLabel
%
% Syntax: xticklabel_rotate
%
% Input:
% {opt} XTick - vector array of XTick positions & values (numeric)
% uses current XTick values o... |
8b28ae3d74cc888fd94390b169563ff0e36bbcfb7d00567e0cb76be36788d867 | MATLAB | 10,790 | 330 | %{
## Run command locally:
workspace = getenv('WORKSPACE');
datafolder = [workspace, '/data/cme/'];
fn_timing = [workspace, '/data/cme/timing.csv'];
output_dir = [workspace, '/results/cme/test'];
stat_type = 'compute_degrees';
CHANGE_POINTS = 7;
HAS_INSTRUCTIONS=1
deg_analysis_sbjs
## Run the with the following comma... |
cd1fd20d36580f5734e1d8b7941cc48fb30b453af25874eaf133497880e20fbd | MATLAB | 10,792 | 309 | function [filt, B, A] = ft_preproc_lowpassfilter(dat,Fs,Flp,N,type,dir,instabilityfix,df,wintype,dev,plotfiltresp,usefftfilt)
% FT_PREPROC_LOWPASSFILTER applies a low-pass filter to the data and thereby
% removes all high frequency components in the data
%
% Use as
% [filt] = ft_preproc_lowpassfilter(dat, Fsample, F... |
32171d3ea5b74f98c11bce84fe17c00c6ca2a475d54ba800e3784575d3ee89df | MATLAB | 10,799 | 290 | % FindAtlasRegions.m
% Sarah West
% 4/1/22
% Uses center-of-mass and percent area to find the best atlas region for
% each spatial source.
function [parameters] = FindAtlasRegions(parameters)
% If there's a mask for this mouse & the atlas hasn't been masked yet,
% do that now.
if isfield(parameters,... |
6455d30b15fbe2d684ab31d9698813155c52af98410271909860be26ab88181a | MATLAB | 10,801 | 304 | function varargout = VBA_spm_select(varargin)
% File selector
% FORMAT [t,sts] = spm_select(n,typ,mesg,sel,wd,filt,frames)
% n - number of files [Default: Inf]
% A single value or a range. e.g.
% 1 - select one file
% Inf - select any number of files
% [1 Inf] - selec... |
74cf6adab2c1c4a45f9ff540c733ce7b594b1d44ee3f9bb89fd9ee54349c918d | MATLAB | 10,807 | 391 | function [labels,info]=isosplit2(X,opts)
if (nargin<1)
test_isosplit2;
return;
end;
if (isstr(X))&&(strcmp(X,'test'))
run_misc_tests;
return;
end;
if (nargin<2)
opts=struct;
end;
if (~isfield(opts,'return_iterations'))
opts.return_iterations=0;
end
if (opts.return_iterations)
info.iteration... |
9c468b32ab021ffcbb7729b4243cba66621a7b1dc09254e81fcc6b3cbe8ad4a0 | MATLAB | 10,815 | 264 | function draw_figure4D_S4D(p,encRes)
%
% This code is for drawing figure 4D and S4D
% Before drawing, slope estimation is conducted.
%
%% settings
compPairs = {
{'category','dimension'}
{'category','semantic'}
{'category','vision'}
};
load(p.roiInfPath,'roiInf');
p.roiDescrip = {roiInf.hcp360.roiDescri... |
73025b4038f37695b102ae7d2fd539d91eb28ebc5a47c1921d94e6a3440075aa | MATLAB | 10,820 | 305 | function [filt, B, A] = ft_preproc_highpassfilter(dat,Fs,Fhp,N,type,dir,instabilityfix,df,wintype,dev,plotfiltresp,usefftfilt)
% FT_PREPROC_HIGHPASSFILTER applies a high-pass filter to the data and thereby removes
% the low frequency components in the data
%
% Use as
% [filt] = ft_preproc_highpassfilter(dat, Fsample... |
d55d494caaf4023231367b9ba6da6dbcc91899c813943632b2129dbb8b4b819b | MATLAB | 10,821 | 337 | % finputcheck() - check Matlab function {'key','value'} input argument pairs
%
% Usage: >> result = finputcheck( varargin, fieldlist );
% >> [result varargin] = finputcheck( varargin, fieldlist, ...
% callingfunc, mode );
% Input:
% varargin - Cell arra... |
b8c3f87cd1fb8be2ad06de49493e01dae00983cba98d4f906e30c3d5dc711e5b | MATLAB | 10,823 | 308 | function [filt, B, A] = ft_preproc_lowpassfilter(dat,Fs,Flp,N,type,dir,instabilityfix,df,wintype,dev,plotfiltresp,usefftfilt)
% FT_PREPROC_LOWPASSFILTER applies a low-pass filter to the data and thereby
% removes all high frequency components in the data
%
% Use as
% [filt] = ft_preproc_lowpassfilter(dat, Fsample, F... |
74aefc13080da544a2da0bb6dc5a840a75f238cae9a0e90ab68bc07f979f9600 | MATLAB | 10,831 | 174 | %%
% ================= RESPONSE ANALYSIS =================
%%
clear all; close all; clc;
%%
for s = 1:21
if s < 10
sub = strcat('P0',num2str(s));
else
sub = strcat('P',num2str(s));
end
if sub == "A09" || sub == "A15"
runs = [1:5];
else
r... |
4b58b4a6ec31453e808ab8f1e091c41174de963a81243e6895039a10a799f33d | MATLAB | 10,838 | 226 | function meg_manuscriptFigs_TE_allTrials_mdlFit
% Plot ITPC all trials with model fits (linear, and linear+periodic)
%% Load data
user = 'kantian';
% filename =
% sprintf('/Users/%s/Dropbox/github/ta-meg-analysis-model/model_anticipatory/ModelFit_1_freeFreq_GroupTS_231102.mat',user);
% only 1 permutation
filename = ... |
adf239833e987a6d0e0ee98e535f27fdedb88ac2656811b4928c029461ba4754 | MATLAB | 10,840 | 233 | function data = chanscale_common(cfg, data)
% CHANSCALE_COMMON applies a scaling to specific channel types
%
% Use as
% data = chanscale_common(cfg, data)
% where the configuration contains
% cfg.parameter
%
% For specific channel groups you can use
% cfg.eegscale = number, scaling to apply to the... |
50354f39ab3056e57deec9917c6a786ab2bddf0a8e795198e1ee3e6c4421d942 | MATLAB | 10,851 | 304 | function [filt, B, A] = ft_preproc_highpassfilter(dat,Fs,Fhp,N,type,dir,instabilityfix,df,wintype,dev,plotfiltresp,usefftfilt)
% FT_PREPROC_HIGHPASSFILTER applies a high-pass filter to the data and thereby removes
% the low frequency components in the data
%
% Use as
% [filt] = ft_preproc_highpassfilter(dat, Fsample... |
5a52af9b8541714f9589f118c999a9fd0b6adc7d879414def7bc93f357b7d3dd | MATLAB | 10,853 | 283 | function [Vo, Yo, Yc, Ya, Ymsk, Ym, Affine, YaROIname, YaROIid, RES, BB] = ...
boney_segment_loadMRI(P, job, seg8t, tis, cls, bd)
% loadMRI. Load MRI and segmentation maps with general size limit.
%
% [Vo,Yo,Yc,Ya,Ym, Affine, YaROIname, RES, BB] = ...
% boney_segment_loadMRI(P, job, seg8t, tis, cls, bd)
%
% P ... |
82151d967442155fb22068b8a03b30e824f8c9518f53da287d57ed672534f7e8 | MATLAB | 10,858 | 287 | function ConvertKlusta2Neurosuite(shank,basepath,basename,numCores)
% Converts .kwik/kwx files from Klusta into klusters-compatible
% fet,res,clu,spk files. Works on a single shank of a recording, assumes a
% 16bit .dat and an .xml file is present in "basepath" (home folder) and
% that they are named basename.dat and... |
461ff9197462f0ca512b044adc9677237e218a7404644aa7f35905eae022413c | MATLAB | 10,860 | 237 | function perform_clustering_analysis(p,encRes)
%
% - This code is written for performing clustering analysis
% based on encoding accuracy
%
% called from emotion2020_analysis_BATCH
%
%% settings
testSubjectTypes = {p.sbjID{:},'randctrl'};
nclust_all = [50,27,15]; % numbers of kmeans clustering
nTopSampleProp = 5; %... |
f24f7292350c350a9396b39a5f958f21f8d36bc630345ed2c5fc3c0c3ef36051 | MATLAB | 10,860 | 219 | function Cfg = y_Organize_SegmentSubregions(Cfg,WorkingDir,SubjectListFile,IsSlurmOrganizeSurf)
% function Cfg = y_Organize_SegmentSubregions(Cfg,WorkingDir,SubjectListFile,IsSlurmOrganizeSurf)
% Organize results by Segment Subregions.
% Input:
% Cfg - the parameters for auto data processing.
% WorkingDir -... |
bbe69679c92aa54821dde87568ba8cb19ee71593d60d9fb8a42f6d54331e7f6a | MATLAB | 10,865 | 232 |
%% Initial Setup
% Put all needed paramters in a structure called "parameters", which you
% can then easily feed into your functions.
% Use correlations, Fisher transformed, mean removed within mice (mean
% removed for at least the cases when you aren't using mice as response
% variables).
clear all;
% Create th... |
70064d837e385c6065e8b69b512518956eb8babbc4e5ae7689cdfb9162137cc5 | MATLAB | 10,876 | 233 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Thalamic spindles and Up states coordinate cortical and hippocampal
% co-ripples in humans
%
% Dickey et al. 2024
%
% Compute and compare probabilities of co-occurring hippocampo-cortical
% ripples ("co-ripples") for the following conditi... |
4b7a6eb276f2c4bff53f1e5557d6ae5e3b26f67b01aff05b3248485c49be192a | MATLAB | 10,881 | 277 | function [spike] = ft_datatype_spike(spike, varargin)
% FT_DATATYPE_SPIKE describes the FieldTrip MATLAB structure for spike data
%
% Spike data is obtained using FT_READ_SPIKE to read files from a Plexon,
% Neuralynx or other animal electrophysiology data acquisition system. It
% is characterised as a sparse point-pr... |
b328525c10d203ef3f511d81a2fcaf2b4b96acc9d6e4b086cce4606eb19b3027 | MATLAB | 10,881 | 214 |
% Theta bouts detection
% Modified by JZ based on "Bicycle" analyses suite: https://github.com/bycycle-tools/bycycle
%
% Parameters settings
%
% cycleLength= 3; % least cycle numbers
% amplitude = 0.3; % amplitude threshold, 0.3
% period = 0.5; % period threshold, 0.5
% mono = 0.6; ... |
55b1020403657334818fd35b600f231222f09300f325580d826437d9f9d275bb | MATLAB | 10,882 | 377 | function [out] = VBA_spm_eeg_render(m,options)
% Visualisation routine for the cortical surface
% FORMAT [out] = spm_eeg_render(m,options)
%
% INPUT:
% - m = MATLAB mesh (containing the fields .faces et .vertices) or GIFTI
% format file.
% - options = structure variable:
% .texture = texture to be projected onto... |
9c7058fc3d27f9482e65f885ebbf2095dd0a13715e46228574310a8ee8079fc7 | MATLAB | 10,882 | 346 | %% ssta_vs_SDO
%
% Show the spike-triggered average, mean-split, and state-dependent
% spike-triggered averages to demonstrate how averaging results in a
% less-accurate prediction of future signal behavior.
%
% Uses the programatic methods
%_______________________________________
% Copyright (C) 2023 Trevor S. Smit... |
11e68fca2b0b15c2af1f318f755bfb3ffec7f032aa13bb926df9a9e3344eadbb | MATLAB | 10,884 | 277 | function [spike] = ft_datatype_spike(spike, varargin)
% FT_DATATYPE_SPIKE describes the FieldTrip MATLAB structure for spike data
%
% Spike data is obtained using FT_READ_SPIKE to read files from a Plexon,
% Neuralynx or other animal electrophysiology data acquisition system. It
% is characterised as a sparse point-pr... |
b4db66656ac7f83d109938503b65846306cd36006b142ed46c96a9065a064bee | MATLAB | 10,897 | 313 | % first, find the standard deviation of each trial (GAMMA BAND). Will discard certain
% data.
clear smooth_envelope* all_std
if(single_column)
the_length = 64;
else
the_length=128;
end
smooth_envelope = nan(the_length, length(LFPRawAll));
for chan = 1:the_length
the_chan = chan
smooth_envelope(the_cha... |
627bea9b643b23d872022112d08638ec23febc34f6b4feb5a46a0eefd18308e0 | MATLAB | 10,901 | 343 | clear;
clc;
doSaveFig= 0;
doSaveGrandAvg= 0;
if strcmp(getenv('COMPUTERNAME'), 'NB-VATS-LAB1')
fig_dir= 'C:\Users\sap245\Google Drive\PostDoc\dAM_MultiSpecies\Figures\';
else
fig_dir= 'G:\My Drive\PostDoc\dAM_MultiSpecies\Figures\';
end
if ~isfolder(fig_dir)
fig_dir = './saved_figures/';
if ~exist(f... |
ea120d03f84f2893f5aa6c5fadac971759e665cdcaabd094b4897cb52f727764 | MATLAB | 10,901 | 259 | function [data,varargout] = femdata_DCS(mesh,tau_DCS,varargin)
% FEMDATA_DCS Calculates diffuse correlation spectroscopy (DCS) data
% (electric field temporal autocorrelation function) for a given mesh at
% a given correlation delay times.
%
% SYNTAX:
% [DATA] = FEMDATA_DCS(MESH, TAU_DCS)
% [DATA] = FEMDATA_DC... |
70e3b96f9fbb6d37f79d37215f039f2f22c2b35401b4b4ff3197da414fb6b1ab | MATLAB | 10,905 | 287 | %% Classification using parametric discriminative models in pmtk3
%
% We extend the parametric discriminative regression models discussed
% <http://pmtk3.googlecode.com/svn/trunk/docs/tutorial/html/tutRegr.html
% here> to the classification setting.
%% Logistic regression: plugin method
% Consider fitting a bin... |
be9ee7a9ad4b2a1f4574185123f9b995c0aba60d886339360205bac1e8ac485d | MATLAB | 10,937 | 286 | classdef PointCloud < handle_light
% Contains the point cloud that represents a detected surface
%
% property ROI specifies the coordinate system and range in which the
% points are specified relative to the the raw data
%
% See also surfaceDetection.RegionOfInterest
%--------------... |
a599e0aeb6757afc4662d344ec1478ef20802be7eb0ac8b52d45de041abe645c | MATLAB | 10,949 | 221 | function [fx,indlev] = RecToMfunction(x,P,u,inF)
% recursive evolution function for k-ToM's learning rule (2x2x2 game)
% [fx,indlev] = RecToMfunction(x,P,u,inF)
% Marie Devaine wrote this function in November 2015 (comments: JD).
% A k-ToM agent with k>0 learns the unknown parameters (theta) of her
% opponent's learnin... |
61653684b5a051209dff19e4a8dd947a04fdd62cbbff14b6e7930839e6e29b91 | MATLAB | 10,951 | 393 | function LAN = syn_hilbert_lan(LAN, freq, win_cycles)
% V.1.9.86. fix
% 27.11.2009
% PLI en prueba
%
%
%
% Calculate -> syncrony between electrodes througth hilbert transforms
% example:
% LAN = syn_hilbert_lan(LAN, 25, 6);
%
% parameters:
% LAN % matrix 2d elec x time
% ... |
cc02ae8c5457b31822bb301b39e0ded75027b7989e51c088ef3fc5a5eb49cf27 | MATLAB | 10,952 | 307 | function [spike] = ft_read_spike(filename, varargin)
% FT_READ_SPIKE reads spike timestamps and waveforms from various data
% formats.
%
% Use as
% [spike] = ft_read_spike(filename, ...)
%
% Additional options should be specified in key-value pairs and can be
% 'spikeformat' = string, described the fileformat (defa... |
4b1dc2b78aef5425074ea84b9f470c01d5ec0ecc16b3ef4c56a0eac66f826918 | MATLAB | 10,956 | 353 | %% GP kernel plots from David Duvenaud's thesis
% Code from https://github.com/duvenaud/phd-thesis/tree/master/code
% Modified by Kevin Murphy
function gpKernelPlot(seed)
% A script to make a series of plots demonstrating how structure can be
% reflected in a kernel.
%
% This version updated to be more amenable to ti... |
92ae9f7a15c248bf582bc2f6a3866afd956b47d267cbcaa75e23f978c7078a9d | MATLAB | 10,964 | 320 | function [A,fH,figNames] = meg_plotITPC(data,sessionDir,p,selectedChannels,selectedFreq)
% MEG_PLOTITPC(data,sessionDir,p,selectedChannels,selectedFreq)
%
% INPUT
% data
% structure of condition cells containing
% data matrix, time x channels x trials
% sessionDir
% eg: 'R0817_20171212'
% selectedChannels
% v... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.