sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
8f59a5d95763c819461e3308c8eae966d17bd798c58c34b1f53b947912cc0ab1 | MATLAB | 6,144 | 183 | %% iterativeVectorDecomposition (IVD)
%
%// Takes a multidimensional signal, determines 'heading vectors'
%across these dimensions, extracting these vector pulses from the time
%series data, to build 'pulses' of excursion within a vector heading. Meant
%as a master script for swapping between different methods.
%
% Alt... |
04de91818806da3db6bfa05804bf900307e37f165f77350e03e4a54819a9a255 | MATLAB | 6,145 | 164 | %---------------------------------------------------------------------------------
% Example script for the decoding analysis performed with the Neural
% Decoding Toolbox (NDT) by Ethan M. Meyers
%
% Meyers, E. The neural decoding toolbox. Front. Neuroinformatics 7, (2013).
%
% Code based on the tutorial NDT tutorial:
... |
0f3618ddfadc0bad840e23324f6db656321a213476c1a29f44aeff53a6c7cb78 | MATLAB | 6,149 | 207 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
function esg_prepro_loop6(subject, condition, srmr_nr)
debug_mode = false;
%% set variables
subject_id = sprintf('sub-%03i', subject);
analysis_path = [getenv('ANADIR') subject_id '/esg/prepro/'];
cfg_path = getenv('CFGDIR');
% get condition info
[cond_info] = get_condi... |
d92683ee52e28766d21c52e13421b091e456c11936b2780c9a8e274deb40cf7e | MATLAB | 6,151 | 204 | function [IX,SigmaX,deltaMuX,suffStat] = VBA_IX_lagged(X,y,posterior,suffStat,dim,u,options)
% lagged Laplace-EKF (Gauss-Newton update of hidden states)
% Look-up which hidden states to update
indIn = options.params2update.x;
% Get precision parameters
alphaHat = posterior.a_alpha./posterior.b_alpha;
sigmaHat = pos... |
223d917bcc9cd5ca87c527265e6f265f91862f426b82f2ef0bdd6b731536843a | MATLAB | 6,153 | 119 | function [r_other_asbl_int_on,r_other_asbl_int_off,r_out_asbl_int_on,r_out_asbl_int_off] = assembly_trig_corr (traces, pyr_id, int_id, si_img, TRace, RasterRace, CellCl, PCl, C0)
n_int_in_assembly = sum(sum(CellCl(:,int_id)));
pyr_out_assemblies = intersect(pyr_id,find(sum(CellCl,1)==0)); %find pyr cells not in assemb... |
8035b62d80183d8898975be8e55ab07ae303e5dc36c5bae49c57592b3d98ee17 | MATLAB | 6,153 | 198 | function M = fixedrankfactory_2factors_preconditioned(m, n, k)
% Manifold of m-by-n matrices of rank k with two factor quotient geometry.
%
% function M = fixedrankfactory_2factors_preconditioned(m, n, k)
%
% This geometry is tuned to least-squares problems such as low-rank matrix
% completion with ell-2 loss.
%... |
a0c8406f78c2e4279fb04a06eecb34fda91f762132cdde116b59f11e76597637 | MATLAB | 6,160 | 140 | function J = imtransform2( I, H, varargin )
% Applies a linear or nonlinear transformation to an image I.
%
% Takes the center of the image as the origin, not the top left corner.
% Also, the coordinate system is row/column format, so H must be also.
%
% The bounding box of the image is set by the BBOX argument, a stri... |
4be2c489fc7a5ab7381d13ed0df53ed825259139ace8bc4fa3b76bb083f9e9e1 | MATLAB | 6,161 | 198 | %PRINT2ARRAY Exports a figure to an image array
%
% Examples:
% A = print2array
% A = print2array(figure_handle)
% A = print2array(figure_handle, resolution)
% A = print2array(figure_handle, resolution, renderer)
% [A bcol] = print2array(...)
%
% This function outputs a bitmap image of the given fig... |
67c7dee2bc8b2d5a75ea3e1b9928776e4487358a8ac6edc0badbac7e0c6ee8de | MATLAB | 6,161 | 176 | % plot_Figure5
% Plot leverage of Sramp, Spc1 and STin on behavior
%% Load data
medA = load(fullfile(saveLoc, 'for_plots_mediation_norm_to_se'));
%% Plot settings
mediatedDimsA = [52 19 27]; dimTin = 27;% ramp, PC1, Tin ('for_plots_mediation_norm_to_se')
% mediatedDimsA = [3 11 60 68]; % MinC, MinI, MinI-... |
ac004574aad362996c5b03ee900ad20dbc4e6494455c525a466b964aff34f351 | MATLAB | 6,161 | 169 | function [labelx, labely, labelz] = coordsys2label(coordsys, format, both)
% COORDSYS2LABEL returns the labels for the three axes, given the symbolic
% string representation of the coordinate system.
%
% Use as
% [labelx, labely, labelz] = coordsys2label(coordsys, format, both)
%
% The scalar argument 'format' resul... |
fd9a53237063d3f01e481fa39e84b5a159e04b152ceef7b52a65e351bf23f3b4 | MATLAB | 6,164 | 142 | function [EEG, markers] = DS_Threshold(EEG,PARAM)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Detect events beyond a threshold
%
% Part of detect_spindles toolbox:
%
% Authors: Stephane Sockeel, PhD, University of Montreal
% Stuart Fogel, PhD, University of Ottaw... |
5a74e4e500b54de4c927305075389d00bf7c8feaaa929c0788b378f3e0546649 | MATLAB | 6,165 | 140 | function S = synclft3d( T, N, dm, dM )
% SYNCLFT3D Segment surfaces that have the closest surface along normal (N) direction is in
% the range [dm,dM]
% INPUT:
% T - Input binary tomogram
% N - Normal vector 3D field
% dm - minimum distance
% dM - maximum distance
% OUTPUT:
% ... |
be8824af63f88d003d4b23a56ae7c49dc9ab88f63d43ed4c95498b17c7de9eec | MATLAB | 6,165 | 201 | % Author: Birgit iNierula
% nierula@cbs.mpg.de
function figure_spinalSEP(condition, subjects)
% set path
savepath_ga = getenv('GADIR');
% condition info
srmr_nr = 1;
cond_info = get_conditionInfo(condition, srmr_nr);
cond_name = cond_info.cond_name;
nerve = cond_info.nerve;
trigger_name = cond_info.trigger_name;
if... |
63550cccb5bbf2634527ce9d209842eb359a48cfd50452df9f0c51b57d6cce84 | MATLAB | 6,166 | 164 | classdef SpotsReader < SurpassObjectReader
% SpotsReader Read Imaris ims file Spots data
%
% © 2015–2016, Peter Beemiller (pbeemiller@gmail.com)
%
% See also ImarisReader | SurpassObjectReader
properties (SetAccess = 'immutable', GetAccess = 'public', Transient = true)
... |
6c297bafdacbb319f499d9b6066e5033098667323843a36ea96c17dc13eeba3b | MATLAB | 6,168 | 217 | function [A,fH,figNames] = meg_plotFFT(data,p,selectedChannels,selectedFreq)
% MEG_PLOTERP(data,selectedChannels,plotSingleTrial,plotAvgTrial)
%
% INPUT
% data
% structure of condition cells containing
% data matrix, time x channels x trials
% selectedChannels
% vector of meg channels to inspect
% selectedFreq ... |
9dfd83823cdcf3228aa06e7aa0181cc949cdd1cefd4f07ddf9ffb0565bbcd9d3 | MATLAB | 6,169 | 160 | function ft_plot_vol(headmodel, varargin)
% FT_PLOT_VOL visualizes the boundaries in the volume conduction model of the head as
% specified in the headmodel structure
%
% Use as
% hs = ft_plot_vol(headmodel, varargin)
%
% Optional arguments should come in key-value pairs and can include
% 'facecolor' = [r g b] ... |
b3cb8979d1e5cd221f0b615c5f6e0dc0bd0970eecf21729db4800a33337389ab | MATLAB | 6,169 | 216 | %%%%%%%%%%%%%%%%%%%% REPROJECT ON THE IMAGES %%%%%%%%%%%%%%%%%%%%%%%%
if ~exist('n_ima')|~exist('fc'),
fprintf(1,'No calibration data available.\n');
return;
end;
if ~exist('no_image'),
no_image = 0;
end;
if ~exist('nx')&~exist('ny'),
fprintf(1,'WARNING: No image size (nx,ny) available. Setting nx=640 an... |
488170b2be885b7d4844641c0999acaf54701a98cf2b8bca1f28838436258f55 | MATLAB | 6,170 | 192 | %%%%%%%%%%%%%%%%%%% GRAB sensor imaging data analysis%%%%%%%%%%%%%%%%%%%%
clc
clear all
close all
%% open file extracted from ImageJ (.csv)
%Need to have the folder containing the .csv file open or add it to path
rawfluo=readmatrix('ROI1.csv');
%% optional step: subtract backgound from ROI on the stimulating elect... |
518c1a1243cb2a722df7c0e384109a9700a26a5013ab36c11fd30fd6b2b7dd6a | MATLAB | 6,171 | 136 | function [Obj, log] = SOFAexpand(Obj,VarName)
%SOFAexpand
% Obj = SOFAexpand(Obj) expands the singleton dimensions of all variables.
% Only variables will be expanded. Data and attributes won't. Note that
% also Obj.API.Dimensions will be updated to the new dimensions.
%
% Obj = SOFAexpand(Obj,VarName) expands ... |
19868e73110a381e0acac931237d6edd074dfc0af925bf9ff95fb40c173d590c | MATLAB | 6,174 | 161 | function DataStructure=SigmoidFit_ZN(Xdata,Ydata,FitOption)
if size(Xdata,1)<=1&&size(Xdata,2)<=1&&size(Ydata,1)<=1&&size(Ydata,2)<=1
warning('Need to provide more than one data point to fit!')
DataStructure=[];
elseif size(Xdata,1)~=size(Ydata,1)||size(Xdata,2)~=size(Ydata,2)
warning('N... |
3a0efd9ee15f3a2eb46babddeb5ce0a11c5fd7f5b72603272e9ccfceb3bbd487 | MATLAB | 6,174 | 200 | %% tsdata_to_var
%
% Fit VAR model to multi-trial, multivariate time series data
%
% <matlab:open('tsdata_to_var.m') code>
%
%% Syntax
%
% [A,SIG,E] = tsdata_to_var(X,p,regmode)
%
%% Arguments
%
% See also <mvgchelp.html#4 Common variable names and data structures>.
%
% _input_
%
% X multi-trial time s... |
83d81ea29c82d5d7a1506326d87e2856487d4d46d72bc283dbcebc32db840a6f | MATLAB | 6,174 | 160 | function ft_plot_headmodel(headmodel, varargin)
% FT_PLOT_HEADMODEL visualizes the boundaries in the volume conduction model of the head as
% specified in the headmodel structure
%
% Use as
% hs = ft_plot_headmodel(headmodel, varargin)
%
% Optional arguments should come in key-value pairs and can include
% 'faceco... |
ece84a748d04e66876df8aff123b40e23f76ee078ba1b5633e9eb0162b11ae18 | MATLAB | 6,174 | 196 | function h = ft_plot_dipole(pos, ori, varargin)
% FT_PLOT_DIPOLE makes a 3-D representation of a dipole using a sphere and a stick
% pointing along the dipole orientation
%
% Use as
% ft_plot_dipole(pos, mom, ...)
% where pos and mom are the dipole mosition and moment.
%
% Optional input arguments should be specifie... |
067d15dab08d77bf25a5a143a8234c8402b0f385a11d693d2bcba450005e7cf8 | MATLAB | 6,176 | 163 | function test_MetaPath()
% Test basic MetaPath functionality with different platforms and locales
pathObj = apt.Path('/test/path', apt.Platform.posix);
metaPath = apt.MetaPath(pathObj, apt.PathLocale.native, apt.FileRole.movie);
% Test char works
pathStr = metaPath.char();
if ~strcmp(pathStr, '/test/path')
error('M... |
de3473e400ed19cc72c1eb095ce7f0742eaab5c723ebb720e1df77d094c1e544 | MATLAB | 6,178 | 190 | function [C,Ceq] = Constraint_Function (xopt)
% MATLAB code provided by Seyed Mohammad Ali Rahmati
% Affiliation: Biomechanics and Motor Control Lab, Department of Biological Sciences, Georgia Institute of Technology, Atlanta, GA.
%
% Description:
% This M-file provides an equality constraint that ensures the joint mo... |
e15443bbb379dc81815cc0b2f50f6a85c4dc948c80611d66aa1d2664b2f745c3 | MATLAB | 6,179 | 196 | function h = ft_plot_dipole(pos, ori, varargin)
% FT_PLOT_DIPOLE makes a 3-D representation of a dipole using a sphere and a stick
% pointing along the dipole orientation
%
% Use as
% ft_plot_dipole(pos, mom, ...)
% where pos and mom are the dipole mosition and moment.
%
% Optional input arguments should be specifie... |
cca3f6816048d96445bb4886684c156ad440f4b5791960261b7b5156019323bf | MATLAB | 6,180 | 220 | function [kappa,apk,ap,meanoks,savename] = ComputeOKSPrecisionTable(gtdata,varargin)
[kappadistname,apvals,meanapvals,nets,legendnames,colors,exptype,...
conddata,labeltypes,datatypes,...
pttypes,annoterrdata,...
savedir,savename,dosavefig,...
threshmethod,threshprctile,...
dormoutliers,nremove] = myparse(va... |
760ee2bb3e26f4a9c2836fb961e1b38db881ad83de40fcc23066003866e174e6 | MATLAB | 6,185 | 181 | %
% fourieeg.m (beta)
%
% fourieeg Single-Sided Power Spectrum of your (continuous or epoched) dataset
%
% [ym f] = fourieeg(EEG,ch,f1,f2) returns the squared module, ym, of the FFT output
% of your dataset, evaluated at channel ch, between the frequencies f1 and f2 (in Hz).
% f contains the frequency range.
%
% [ym f]... |
fca52b366658559f4ec749e61c049f1f47dfb8c98f39e35bd21adfc5be794d31 | MATLAB | 6,186 | 182 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% fit1_dipole_fitting.m %%%
%%% Fit a dipole for the selected model and raw data %%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% load Fieldtr... |
4209d59ab7176ff7632dbf4803316427acf89e025ff2e0ab08234446f6f8a58c | MATLAB | 6,188 | 183 | classdef model
% MODEL Top-level MCmatlab model class
%
% MCmatlab.model collects all objects (as properties) and methods
% required to define a full MCmatlab model.
properties
name (1,:) char
G (1,1) MCmatlab.geometry
MC (1,1) MCmatlab.monteCarloSimulation
FMC (1,1) MCmatlab.fluore... |
ad7a2e43363418b1898d037d29871dcde9b9e0472d962cf6b8679a7791c1275a | MATLAB | 6,188 | 207 | function model = mrf2Create(adj, nStates, varargin)
% Make a Markov random field with pairwise potentials
% Wrapper to Mark Schmidt's UGM library
% which is available from http://www.cs.ubc.ca/~schmidtm/Software/UGM
%
% model = mrfCreate(adj, nstates, 'nodePot', nodePot, 'edgePot', edgePot, ...
% 't... |
55f885748aaae887474867bba879f112cc8adda78750f57ce4f8d54e0bb80fb0 | MATLAB | 6,190 | 235 | function [Reg,FinSize,DomId] = ClustRegFill(map,thr)
map(map~=0)=1;
map=map-1;
map=abs(map);
s=size(map);
s1=s(1);
s2=s(2);
Reg=zeros(s1,s2);
ClusSize=zeros(1,700000);
if map(1,1)>0
ClusNum=1;
Reg(1,1)=ClusNum;
ClusSize(ClusNum)=ClusSize(ClusNum)+1;
else
ClusNum=0;
end
for n=2:s2
if map(1,n)>0... |
e3cf784d8055b2ba6907c9bd2b29377e5fbe31bdffc194ca0ea20088ebb78eb4 | MATLAB | 6,190 | 175 | function [collection, registry] = loadCollection(fullpath, name, omitHeavyFeatures,...
omitHeavyGraphs)
% This function loads a data-collection. Always use this function to load data
% in the dspace-format.
%
% Data-collections are explained here: <a href="matlab:doc('dspace_data.DataColl... |
1bc1923b19654ee9b96df0dd3c189b38d570475b7a4ab4b260f20c796c8ec8b3 | MATLAB | 6,192 | 163 | function [hdr] = read_brainvision_vhdr(filename)
% READ_BRAINVISION_VHDR reads the known items from the BrainVision EEG
% header file and returns them in a structure
%
% Use as
% hdr = read_brainvision_vhdr(filename)
%
% See also READ_BRAINVISION_EEG, READ_BRAINVISION_VMRK
% Copyright (C) 2003, Robert Oostenveld
%
... |
51f96c1afec073f0d8992003d699aac4aeb56a074caddb11189dd60acbceec0e | MATLAB | 6,192 | 158 |
%Load the set of all pixels of all puncta across all rounds from the
filename_pixels = sprintf(fullfile(params.punctaSubvolumeDir,sprintf('%s_punctavoxels.mat',params.FILE_BASENAME)));
load(filename_pixels)
fprintf('Loaded Pixels.\n');
%This is the size of the cropped images, corresponding to ~15um pre-ExM
filename_... |
e3b810e16144a561c144cebbca836aa3db8f50917ca8c9999db9de06c7b4831c | MATLAB | 6,192 | 203 | function hAxes = dscatter(X,Y, varargin)
% DSCATTER creates a scatter plot coloured by density.
%
% DSCATTER(X,Y) creates a scatterplot of X and Y at the locations
% specified by the vectors X and Y (which must be the same size), colored
% by the density of the points.
%
% DSCATTER(...,'MARKER',M) allows... |
0a0d8b67ede94c3b05e29cf2947ea6c8224cc1f9d12f13f8214ed3f6979a0219 | MATLAB | 6,195 | 156 | function [Allobject_container, SHGMask_container, CellMask_container, ...
Cell755, Cell860] = FLIM_generate_masks_SeparateMasks(roi_names, ...
file_identifiers, image_array, filtersize, prctile_thr, Masks)
if nargin < 6
Masks = 0;
elseif nargin < 4
Masks = 0;
prctile_thr = 94;
end
% Ini... |
97109d2ce27caf7cf1bab145d38f94ce2fcb5c5c68ac900c8fcc8977126f6ad8 | MATLAB | 6,195 | 173 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% step0_create_meshmodel.m %%%
%%% Creates a model for the BEM-FMM forward solution. %%%
%%% ------------------------------------------------------------------- %%%
%%% Please make ... |
71d33601c53fe4cb9fa58b314ef257d4c6578b72ea54a427a97ce4291c0aa7f5 | MATLAB | 6,205 | 177 | function NETCDFsave(filename,Obj,Compression)
%NETCDFSAVE
% NETCDFsave(filename,Dataset,Compression) saves all data and metadata to
% a SOFA file.
% SOFA API - function netcdf/NETCDFsave
% Copyright (C) 2012-2013 Acoustics Research Institute - Austrian Academy of Sciences
% Licensed under the EUPL, Version 1.1 or ... |
c267f2043fbd7a4b333b59de975209724a106e0cbba4f9632e99078978d3e5dd | MATLAB | 6,208 | 155 | % stereo_gui
% Stereo Camera Calibration Toolbox (two cameras, internal and external calibration):
%
% It is assumed that the two cameras (left and right) have been calibrated with the pattern at the same 3D locations, and the same points
% on the pattern (select the same grid points). Therefore, in particular, the sam... |
fadcd6e1610d1be0ba827420f774540d5d3e73dfbc326f5f43ef9c2252955b82 | MATLAB | 6,212 | 123 | %%
%This script was created by Professor Baxter Rogeres (VUIIS), but is heavily modified based on our lab pipeline by Jin Wang 3/7/2019
%(1) realignment to mean, reslice the mean.
%(2) segment anatomical image to TPM template. We get a deformation file "y_filename" and this is used in normalisation step to normalize al... |
164f7334ff8758719387958271ba4f4c683948ba4f3bb84c8c9381b170765521 | MATLAB | 6,213 | 90 |
function [p_values, replay_scores] = extract_score_and_pvalue_ground_truth(scored_replay, scored_replay1, scored_replay2, method, replay_above_rippleThresh_index)
% INPUTS:
% Scored_replay, scored_replay1, scored_replay2: structures loaded. Contain score and pvalue of each replay event for each method analysed.
% ... |
ddf197ae01fe34ccdfb1fe63146e398b220172112514738085d35baf1f68c740 | MATLAB | 6,215 | 140 | function [ROICenter,XYZCenter,IJKCenter] = y_ExtractROICenterOfMass(ROIDef, OutputName, IsMultipleLabel, ROISelectedIndex, RefFile, Header)
% [ROICenter,XYZCenter,IJKCenter] = y_ExtractROICenterOfMass(ROIDef, OutputName, IsMultipleLabel, ROISelectedIndex, RefFile, Header)
% Extract the ROI Cen... |
0fac99feeaddc4d10fab86452ae3253251c49381ac015b50ad05434242c43a49 | MATLAB | 6,218 | 145 | function varargout = StrategyforSameSeriesStrategy(varargin)
% STRATEGYFORSAMESERIESNAME MATLAB code for StrategyforSameSeriesStrategy.fig
% STRATEGYFORSAMESERIESNAME, by itself, creates a new STRATEGYFORSAMESERIESNAME or raises the existing
% singleton*.
%
% H = STRATEGYFORSAMESERIESNAME returns the han... |
2b2fb09777404ce2f5a0f7a632fcf2e21e9c3a0cc69ce585b46e2505ab4f424a | MATLAB | 6,218 | 106 | function out = calculate_replay_detection_performance(data,epoch_index,segment_id,log_pval,p_val_threshold,total_number,option)
% multi_event_index = find(log_odd_compare{nshuffle}.multi_track == 1);
out = [];
log_odd_difference = [];
percent_multi_events = [];
percent_sig_events = [];
if strcmp(option,... |
b3fdfcc48f71ac6675be62564676bc8190119f637feb29cf1a06b10f885b7292 | MATLAB | 6,219 | 224 | load for_plots_mediation_norm_to_se.mat
%% choose what to plot
signal = 'TinC';
mediator = 'ramp';
%% example plot
m = {leverage.mediator};
s = {leverage.signal};
I = ismember(s,signal) & ismember(m,mediator);
L = leverage(I);
colors = cbrewer('qual','Paired',6);
colors = colors([2,4,6],:);
t = L.t';
p = publish... |
a1ab4773630f418acbc09ff99a79b8f4ccd5e58fd8fded48167cb6ec7916826a | MATLAB | 6,227 | 197 | % DELCODE-SAME, Figure "FADE SAME Amyloid"
% _
% original paper: Soch*, Richter* et al., HBM, 2022
% Figure: not available
%
% DELCODE paper: Soch et al., medRxiv, 2023
% Figure 5: FADE and SAME scores by diagnostic group and amyloid positivity
%
% written by Joram Soch <Joram.Soch@DZNE.de>, 21/02/2023, 16:23 (DELC... |
45e1e83063683903e3f1ed549f5e5783f9cb362ab7b50a8a58f1195c35a32475 | MATLAB | 6,231 | 120 | clear;
addpath(genpath('.'));
%% Set file path
files{1} = {'C:\Users\Jason\Documents\MATLAB\Dugtrio\2020-08-20-002\MC_Video_TSub_nonrigid.tif'};
%% Set options - Downsampled (1.5 Hz)
options.maxVal = 2^13; % Maximum pixel intensity. Set anything above to 0
% Size of image patche... |
b80d4c954abee11dad43d18058d0bbd3c20f31643492fa534c1c418cc7ef4c87 | MATLAB | 6,231 | 170 | % Covariance matrix on the unit square, Matern 3/2 kernel.
%
% This is basically the same as COV_SQUARE1 but using the Matern 3/2 kernel.
%
% Inputs (defaults are used if not provided or set empty):
%
% - N: number of points in each dimension (default: N = 128)
% - OCC: tree occupancy parameter (default: OCC = 64)
... |
c7dff9db53eff693defbbc5751045dce4eaa5c0041bb685369f1ed056637f9de | MATLAB | 6,233 | 183 | function model = crf2FitStruct(y, Xnode, Xedge, varargin)
% Fit pairwise CRF using group L1 on the edge weights
%
% Input:
% y: Ncases * Nnodes (1,2,.., Nstates)
% XNode: Ncases * NnodeFeatures * Nnodes
% We add a column of 1s to Xnode internally.
% Set Xnode = NaN for MRF.
%
% Xedge: Ncases * NedgeFeatures * Nedges
%... |
9e9b000bc9c9c2bbd90dc8c07300eff3a99041ecf982be19bfec4c09e8d6d36c | MATLAB | 6,234 | 185 | function exgauss_plot(plotType,y,X,varargin)
% EXGAUSS_PLOT plots a histogram of the data and a line plot of the mode
%
% DESCRIPTION
% Plots a histogram of the data and a line plot of the ex-Gaussian
% distribution with best-fitting parameters
%
% SYNTAX
% EXGAUSS_PLOT(plotType,y,X);
% plotType - char arra... |
3694f0f20f2b391b449df644d77c8c0e8ff9f93ed03caa0c516ceec60564360d | MATLAB | 6,235 | 157 | function Aout = h_tracingByMarks3(handles)
% global h_img3;
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
state = currentStruct.state;
% data = currentStruct.image.data;
cstr = {'cyan', 'blue', 'green', 'magenta', 'cyan', 'yellow'};
% info does not work for l... |
7734f8d018234942b5252b8026c3f7464013bc2f1e5c01a84932c50b238d2cbd | MATLAB | 6,235 | 175 | function y_ICC_Image(Rate1Dir,Rate2Dir,OutputName,MaskFile)
% function y_ICC_Image(Rate1Dir,Rate2Dir,OutputName,MaskFile)
% Calculate the Intraclass correlation coefficient for brain images.
% Note: the ICC calculation is based on Xi-Nian Zuo's IPN_icc (http://www.mathworks.com/matlabcentral/fileexchange/22122) whic... |
80a8079bf27b1048954a6e4110614507b2011fed43d641ddc8d000165da11aaf | MATLAB | 6,236 | 97 | function [ time, X, parameters ] = modelRunner_ToRORdLand( X0, options, parameters, beats, ignoreFirst)
% Parameters are set here
% defaults which may be overwritten
cellType = 0; if (isfield(parameters,'cellType')) cellType = parameters.cellType;end
% if the number of simulated beat is to be printed out.
verbose = ... |
610b7d0c242f396fe1d30e6df52e37a44ac639936820c59c570e0545e659e386 | MATLAB | 6,241 | 131 | function [Data_Corrected, ClusterSize, Header]=y_ApplyAlphaSimThreshold(StatsImgFile,VoxelPThreshold,IsTwoTailed,ClusterSize,ConnectivityCriterion,OutputName,MaskFile,Flag,Df1,Df2,VoxelSize,Header)
% function [Data_Corrected, ClusterSize, Header]=y_ApplyAlphaSimThreshold(StatsImgFile,VoxelPThreshold,IsTwoTailed,Cluster... |
bc2436c2483f8dbcc6eb533d92bd5471a7bf98eb44e7b30b8bec05f7e84cfa3a | MATLAB | 6,241 | 254 | function wlPlot_plotEventXYMulti(cfg, matchseries, ...
freqrange, durrange, amprange, figtitle, filelabel)
% function wlPlot_plotEventXYMulti(cfg, matchseries, ...
% freqrange, durrange, amprange, figtitle, filelabel)
%
% This function makes a scatter-plot of detected parameter values vs
% ground-truth parameter v... |
9946fa678f1a93a598aa34b71129b54232e488906b44357f1390e700f50d4a9f | MATLAB | 6,244 | 141 | function RP = renditionPercentiles(NNids, epochs, varargin)
% COMPUTEPERCENTILES This function computes repertoire dating percentiles for
% each rendition based on a nearest neighbor graph defined for a number of
% measurements/renditions (size(NNids, 1)) and measurement times (epochs).
%
% ... |
0fc926a3ad143d2a2df90acf71539188ebfbfc370f8eaacdebff180174d1ba51 | MATLAB | 6,245 | 137 | addpath(genpath([pwd '/Utils']));
addpath(genpath([pwd '/Data']));
addpath(genpath([pwd '/SubRoutines']));
clear;close all
genotypeName = {'R22D03AD_R20E08DBD Retinal Male','R22D03AD_R20E08DBD Retinal Female',...
'L320 Retinal Male','L320 Retinal Female',...
'L188 Retinal Male','L188 Retinal Female',...
'L219... |
5239f1af96b0de48095e4001100820d1ef29112ed78d0187897f3daf1f218e50 | MATLAB | 6,246 | 136 |
function log = ReadBehavLog(logFile, task)
scanRL1 = 'Subject:%s Date:%s Time:%s Attempt:%u16 Trial:%u16 Food:%u16 Block:%u16 Block trial:%u16 Center:%u8 Port poked:%u16 RT:%u16 MT:%u16 PreT:%u16 ResponseLimit:%u16 TrPerBlock:%u16 FalseStart:%u16 WrongStart:%u16 FailureToRespond:%u16 Prob Left:%u16 Prob Right:%u16 Ta... |
9f014c87e651a3f61182a9c75f6b413104bd431218b542b2e79d3e3baf8a6022 | MATLAB | 6,246 | 174 | function mri_unbias = ft_volumebiascorrect(cfg, mri)
% FT_VOLUMEBIASCORRECT corrects the image inhomogeneity bias in an anatomical MRI
%
% Use as
% mri_unbias = ft_volumebiascorrect(cfg, mri)
% where the input mri should be a single anatomical volume that was for example read with
% FT_READ_MRI.
%
% The configurati... |
dce10a0f3ac41bd547508073001f4e9422df3cb9465f83922ea62aaaeada4c29 | MATLAB | 6,248 | 156 | function saveCollection(collection, fullpath, collectionName, collectionRegistry,...
omitHeavyFeatures, omitHeavyGraphs)
% This function saves a data-collection. Always use this function to save data
% in the dspace-format.
%
% Data-collections are explained here: <a href="matlab:doc('dsp... |
cacf2550a054e36872545f0019d067492174ee2443a56bc6379fb22cc8ac0163 | MATLAB | 6,249 | 231 | function plot_2c(mat1, mat2,CHAN_LAB, EJEX,EJEF,normal,CAXIS,electrode,area,stata)
%
% e.g. plot_2c(controles, obejtos, chanlocs, EjeX,EjeF,1,[-4 4],[1])
%
% mat1 y mat2 = signal in matrix 4d
% CHAN_LAB = estructure with channel labels (CHAN_LAB(x).labels) eeglab.
% EJEX = times
% EJEF =
% normal = 1 -> z-score
% ele... |
c7d60dd6874d8a2f43e757b5a3049af7ca6146cfc10afbfc1c8b83bbc0d7a5b7 | MATLAB | 6,252 | 216 | function B = medfilt3(A, siz, padopt, CHUNKFACTOR)
%MEDFILT3 1-D, 2-D and 3-D median filtering.
% B = MEDFILT3(A,[M N P]) performs median filtering of the 3-D array A.
% Each output pixel contains the median value in the M-by-N-by-P
% neighborhood around the corresponding pixel in the input array.
%
% B = MEDF... |
9c09c4812bba9e76cdf7cdbd08c1e1917419cdda8a31290794f8e4b5264e4320 | MATLAB | 6,253 | 157 | function [] = ground_truth_log_odd_analysis_spike_train_randomised_addon(folders,timebin,BAYSESIAN_NORMALIZED_ACROSS_TRACKS)
% Input:
% Folders: Each Folder is data for a session
% Timebin: 0.02 or 1
% 0.02 -> 20ms time bin
% 1 -> 1 event time bin
% posbin: [] or 1
% [] -> 20 position bin per track (will load extracted... |
a10a6d0803be6d2e1fd987681c9f6a309188fa6f99590153cba58d236af52654 | MATLAB | 6,253 | 127 | %% Description
% This example illustrates that deposition criteria can be specified to determine when
% photon packets should contribute to output data, for example one could
% specify the number of scattering events must be at least 1 and at most 3.
% See also examples 8 and 25 for more use of the deposition criteria.... |
9b4f2784175fce99230c18e6553502f5491a6006d1594dfe782920eec5dd5c57 | MATLAB | 6,256 | 164 | function [J,data] = jacobian_FD(mesh,varargin)
% JACOBIAN_FD Calculates spatial distributions of sensitivity of
% field registerd on the mesh boundary to changes of optical properties
% per mesh node. This function relays parameters and calls specialized
% functions based on the mesh type.
%
% SYNTAX:
% [J,DAT... |
e8875f8c0fb26a1354f067ebf89438550e0c9fd01c252315a7265772883dab22 | MATLAB | 6,258 | 163 | %% This function constructs the 'paradigm' of interest
function [time,Regressor] = GSP_Paradigm(PathToPar,n_rem,task)
Now = pwd;
cd(PathToPar);
% n_shift = 10;
% Creates the regressor that will highlight the presentation of the
% stimulus
switch task
case 'tfMRI_GAMBL... |
ef536427b2ef47f7027ca0bfc5d42939025c4a37d350d4c494e03bb2f0939a79 | MATLAB | 6,258 | 201 | function [wavg, f, exitflag, output] = stochgrad(objFun, w0, options, X, y, varargin)
% Stochastic gradient descent with averaging
% Interface is similar to minfunc except you must explicitly
% pass in X and y, which is needed for mini-batching
% Example:
% opt.batchsize = 10; opt.method = 'sgd'; w=stochgrad(objFn, win... |
bdfd3b038494e6af5c8967608250abd21fa4f3da7cf4e7e32dce5c97bc6bd76e | MATLAB | 6,263 | 150 | function [EEG, rejectDataIntervals, badPointsInSec, badPointsPerc] = trimOutlier_profound_cleaning(EEG, sd_thresh_lf, amplitudeThreshold_hf, pointSpreadWidth, chan_ex)
% Modified from trimOutlier() by Elena Cesnait & Paul Steinfath
% Adapted for ERP data by Tilman Stephani, 08/2019
% Apply thresholds based on SD (sd_t... |
f5fbd38cb057b27087d9f3c3db8382a5310a3cf513e18bce2ca867a4f888a94a | MATLAB | 6,267 | 167 | function [obj] = TLmakeSearchSpace(obj,thalsegfile,maskfilein)
% Open TL image
leftMGNnum = 8115;
leftLGNnum = 8109;
rightMGNnum = 8215;
rightLGNnum = 8209;
fn = thalsegfile;
[thalamusHeader,thalamusData] = tippVol(fn);
leftMGN = thalamusData == leftMGNnum;
leftLGN = thalamusD... |
32d8a04cadb81fea8627bc118411561d4e531b3d5a6ee35b2544f175fe79c5a4 | MATLAB | 6,269 | 189 | function [model, varargout] = svmFit(X, y, varargin)
% Fit a support vector machine.
% Supports binary and multiclass classification, as well as regression.
% This is a wrapper to SVMlight, libsvm, liblinear
% and our own QP-based SVM code (which requires the quadprog function
% in the optimization toolbox).
% See svm... |
06be157054f721517c90cfb75d1f0714b7bd1779f3d5ae5203cfc8131ff02dd1 | MATLAB | 6,276 | 198 | %PRINT2ARRAY Exports a figure to an image array
%
% Examples:
% A = print2array
% A = print2array(figure_handle)
% A = print2array(figure_handle, resolution)
% A = print2array(figure_handle, resolution, renderer)
% [A bcol] = print2array(...)
%
% This function outputs a bitmap image of the given figure, at t... |
ec7c6664d9d8e6b5651af9fdb98ab56549a1857ffd98f0ca8c0eff1e4d613b10 | MATLAB | 6,276 | 261 | function [hfig,savenames] = PlotAPOverX_CompareConditions(varargin)
[gtdata,nets,legendnames,colors,exptype,...
n_train,conddata,labeltypes,datatypes,...
statname,hfig,figpos,savedir,savenames,dosavefig,xl,savekey,logscaley,...
dataallonly,labelallonly,extras] = ...
myparse_nocheck(varargin,'gtdata',[],...
'... |
139247238157e5c67daf0fe860ccb5aa299b1d23b2302dbbaae0dbaa721f5eca | MATLAB | 6,279 | 212 | % pop_basicfilter
%
% PURPOSE : Filters EEG data
%
% FORMAT :
%
% >> EEG = pop_basicfilter( EEG, chanArray, locutoff, hicutoff,filterorder,
% typef, remove_dc, boundarycode );
%
% EXAMPLE :
%
% >> EEG = pop_basicfilter( EEG, 1:38, 0.1, 30, 2, ?butter?, 1,'boundary');
%
% INPUTS :
%
% EEG - input... |
8411b67373a08dc6bb75213ade8fcffa6a9bf6117e1b6b90c1dd70795d42e74f | MATLAB | 6,279 | 159 | function h_loadAnalyzedRoiData3(handles, flag)
global h_img3;
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
currentFilename = get(handles.currentFileName,'String');
[pname, fname, fExt] = fileparts(currentFilename);
analysisNumber = h_img3.(currentStructName).state.an... |
1bb63e8ca68ce70627f1b120e5cfd736b7c31d138a75f2e0d3f901188c541e54 | MATLAB | 6,282 | 180 | function [spiral_grad_shape,adcSamples,adcDwell,params] = prepare_spirals_rf_grad_adc(params)
lims = params.gen.lims;
%% Readout Gradients
% AMM Implementation raw Archimiedean spiral
k_fov = 1./params.gen.res;
last_tetha = (2*pi*k_fov(1)*params.gen.fov(1)/2);
last_tetha = floor(last_tetha/(2*pi))*2*pi;
teth... |
a470cecb7886e3c0786917a0f8d3a968ee421cbffd4f756a7e38c0f09977de1d | MATLAB | 6,283 | 123 | %% Parse data out across FOV
clear
pathname = uigetdir(pwd,'Input Directory');
pathname = fullfile(pathname);
directory = dir(fullfile(pathname,'*.mat'));
%%
rhoVal = {};LSrhoVal = {};nLSrhoVal = {};
waveDir = {};LSwaveDir = {};nLSwaveDir = {};
waveDur = {};LSwaveDur = {};nLSwaveDur = {};
waveMag = [];LSwave... |
93df03f698d92556ed611212519646d329542f5fa2e3dbfc2ea93a429e6fcd69 | MATLAB | 6,286 | 149 | % TANoise manuscript figs
% scatterplots
% Behav and slope
%% Setup
% Read data
dataFile = 'figData/Fig_Behav.xlsx';
T = readtable(dataFile); % subject level data
% Figure settings
xJitter = 0.2;
saveFigs = 1;
subjectColor = [0.86 0.86 0.86];
dateStr = datetime('now','TimeZone','local','Format','yyMMdd');
fig... |
1454c750096be5f56e39dcd7b55898e5135eeb30f519dbe6a233e091949f89d0 | MATLAB | 6,287 | 235 | %% Draw a 6-node "tiny web"
% This is from Section 2.11 of "Numerical Computing with MATLAB"
% by Cleve Moler, SIAM, 2004. It then simulates the
% computation of Google's PageRank algorithm, by randomly selecting links to
% traverse. If a link is traversed, the edge and the target node are displayed
% in red. If th... |
760d12bf1e0839e78b61cd3a39bc09c311cfc6573774ad006dd096297b30b7f1 | MATLAB | 6,291 | 146 | function [bandwidth,density,xmesh]=kde(data,n,MIN,MAX)
% Reliable and extremely fast kernel density estimator for one-dimensional data;
% Gaussian kernel is assumed and the bandwidth is chosen automatically;
% Unlike many other implementations, this one is immune to problems
% caused by multimo... |
179e69f537acc471011040f76b59b93f7057483e2018cd5a88214b24dc3b0e59 | MATLAB | 6,295 | 177 | %PRINT2EPS Prints figures to eps with improved line styles
%
% Examples:
% print2eps filename
% print2eps(filename, fig_handle)
% print2eps(filename, fig_handle, options)
%
% This function saves a figure as an eps file, with two improvements over
% MATLAB's print command. First, it improves the line styl... |
52eda1d1141ab038bedecb80aca91455aaef85a0941dca734437c3faf9fef152 | MATLAB | 6,296 | 147 | % This code cleans up the seizure data from noisy artefacts and selects the
% components that are relevant to seizure (those that demonstrate
% correlation with seizure onset time).
% data_noise Sohrabpour
% 1/9/2018
clear all; close all; clc
% This part of the code was to load the data for our data base. We... |
7965c841ce1fe26c71dad5ff021a591ee5ba1b70a3036ea826483b65b5c28ce2 | MATLAB | 6,298 | 226 | function [ newevents avglongestprobe avgendtotal convergefrac ] = ...
wlProc_doEvAnnealAmplitudeHilbert( ...
oldevents, samprate, hilmag, hilfreq, hilphase, ...
comparefunc, maxprobes, maxtotal)
% function [ newevents avglongestprobe avgendtotal convergefrac ] = ...
% wlProc_doEvAnnealAmplitudeHilbert( ...... |
57008296afa77071ea69538cb4b4e420a040a35e4811496bae88c5c955457e40 | MATLAB | 6,300 | 182 | function [imgPair] = measurementError(imgPair,sampleInterval,autoSave,readSaved)
computeError = 1;
displayError = 1;
F = imgPair.moving.F;
mask = imgPair.moving.mask;
if computeError
mask = double(mask);
nanMask = mask;
nanMask(mask==0) = NaN;
nanMask = cat(3,nanMask,nanMask);
sizeImg = size(... |
e8925ac1eacf618be29f727563eaf7b3efb4ac2af5b0e9d109391a3415d154af | MATLAB | 6,300 | 224 | function plotPrior(res)
% this function creates the plot illustrating the priors on the different
% parameters
%
% this is meant to be a 3 column, 2 rows multipanel plot.
% parameters
lineW = 2;
lineC = [0,105/255,170/255];
markerSize = 30;
data = res.data;
% get correct stimulus range
if numel(res.options.stim... |
4b62743ba8e84439f00606111c36e2be8caf6fe8bcf52e96e267c262d829a597 | MATLAB | 6,302 | 130 | function [C,OutputFiles] = cifti(obj)
% Extract CIFTI-2 extension from a NIfTI-2 file and export data
%__________________________________________________________________________
% Copyright (C) 2019 Wellcome Trust Centre for Neuroimaging
C = [];
OutputFiles = {};
%-Check input is a CIFTI file
%----------------------... |
74581aaf92de676a4ecbafa92fde5b6012330647a7fc303764b6b5f3db76da7f | MATLAB | 6,302 | 195 | %% Supervised learning in pmtk3
%
%% Models
% An auto-generated list of all the supervised models and their methods
% is shown
% <http://pmtk3.googlecode.com/svn/trunk/docs/modelsByMethods/supervisedModels.html here>.
%
% Below we show a manually created list
% (in alphabetical order)
% of pmtk models that a... |
f09d36f57a6612fbd73a358b56da8def55433893353096c760459590434fa164 | MATLAB | 6,307 | 155 | function headmodel = ft_headmodel_concentricspheres(mesh, varargin)
% FT_HEADMODEL_CONCENTRICSPHERES creates a volume conduction model
% of the head based on three or four concentric spheres. For a 3-sphere
% model the spheres represent the skin surface, the outside of the
% skull and the inside of the skull For a 4-s... |
36713d83e43e0c4349644aebfcd4cc5895b24b8ff14dddab5d896aa44278e26a | MATLAB | 6,308 | 138 |
% Phase precession computation based on spike-time correlation coefficient
function [] = C01_phase_precession_r_NWB (nwbData, bpfreq)
%% prepare interval data (encoding period)
%=== load data from the interval table
encoding_table = nwbData.intervals.get('encoding_table');
ttls_clip_onsets = encoding_table.start... |
41b253add1b46f733fffe54251144b0cea0e4f1bd40bf2a0b4d578ed887972e6 | MATLAB | 6,310 | 174 | %% Creates parcellation csv for every AvgR_Fz file, calculates a correlation with an NT and calculates a correlation betweeen the correlation and beta activity
addpath C:\Code\wjn_toolbox-master
addpath C:\Code\spm12
addpath(genpath('C:\Code\leaddbs'))
%% D1
% select directory containing fmaps
fmap_dir = 'C:\Users\IC... |
b667560e308c1265de83857211d191014579fdba4bf49f78f63777b2c85de203 | MATLAB | 6,310 | 130 | classdef CBIG_AuthorTopic_unit_test < matlab.unittest.TestCase
%
% Wrapper function to unit-test a coordinate-based meta-analysis with the author-topic model.
% The inference was performed with the following hard-coded hyperparameters
% - K = 2:3 - number of cognitive components to be estimated is 2 and 3
% ... |
21d4b05a356344d1c9ca4d6ba86fd028742b0ab6dda262020de699144e1010df | MATLAB | 6,314 | 160 | % Nine-point stencil on the unit square, constant-coefficient Poisson equation,
% Dirichlet boundary conditions.
%
% This is basically the same as FD_SQUARE1X but using a fourth-order
% approximation with stencil radius two. Correspondingly, the nested dissection
% separators have width two.
%
% Inputs (defaults are us... |
3cbeb538107ec15b8a2226e36f28ae3b18eb160056ea88e1443e3e178e92d8d0 | MATLAB | 6,314 | 257 | %if exist('images_read');
% active_images = active_images & images_read;
%end;
var2fix = 'dX_default';
fixvariable;
var2fix = 'dY_default';
fixvariable;
var2fix = 'map';
fixvariable;
if ~exist('n_ima'),
data_calib_no_read;
end;
check_active_images;
% Step used to clean the memory if a previous atttempt ... |
f162470c9c70d8128056101687663a50360e750a513335186e732acd56351dc6 | MATLAB | 6,314 | 171 | function d = getdict
% Dictionary of NIFTI stuff
%__________________________________________________________________________
% Copyright (C) 2005-2019 Wellcome Trust Centre for Neuroimaging
%
% $Id: getdict.m 7620 2019-06-19 15:44:39Z guillaume $
persistent dict;
if ~isempty(dict)
d = dict;
return;
end
% Da... |
91bfd8242ded4b8fbcce039d6b34d7a0a5ff54f6c39e2fbdc2416b42b067fb1f | MATLAB | 6,315 | 195 | %TPS3DWARP Calculates a 3D Thin Plate Spline, then applies it to the moving
%Tile input (tileM). Keypoints for moving (keyM) and fixed (keyF) are
%intended to outputs from the calc_affine function, ie, vetted
%correspondence points that are stored as a Nx3 vector format. outDim is
%the size of the (padded) output image... |
f0d91b2a5d81806e54495d393ea7145cbbd4150582f48dcf0c13c21681e3933b | MATLAB | 6,317 | 170 | function [PFresultsStruct, resultsStruct] = run_grid_decode(data_path, varargin)
% run_grid_decode(simParam.save_path)
%
% Code to perform bayesian decoding on the spike-time cell arrays produced
% by simulateParameterGrid.m. Adapted from the script run_grid_decode
%
% Inputs:
% - data_path: a string of the location ... |
1737e62f45d89ba56d74134f8529da22a0d7f25a71dad30dac85798669923f58 | MATLAB | 6,318 | 127 | % EXTRACTS SLEEP STATE
% Considers that animal is sleeping when:
% Velocity is less than 4cm/s within a 60 second window
% Median firing rate across neurons with a lower firing rate (lower 1/3 of population) has a zscore > 0 within a 60 second window
% Interpolates replay event time with time_bin_centre (using 'neares... |
7ef46b684d69d82860042b870722a78f3ef6f8665111b6b7a59200ce20ab4c52 | MATLAB | 6,322 | 174 | function [figHandleSubplots, figHandleSingle] = netDimRed(network, dimRedInput, varargin)
% Uses dimensionality reduction techniques to visualize the clustering of
% the network structure
%
% newtork: network structure
% dimRedInput: option for the input to the dimensionality reduction algorithms
% 'W': just the conn... |
720233da2553e76a4bf50c82209be39c2b291ee2399a20b498600a3af34af681 | MATLAB | 6,323 | 221 | function [h,t,w,w_times,halfh, auc] = fir2htw2(b,varargin)
% Estimates height, time to peak, and width of FIR response
%
% :Usage:
% ::
%
% [h,t,w,w_times,halfh, auc] = fir2htw2(b,[hconstraint],[doplot],[colors cell])
%
% :Inputs:
%
% **b:**
% beta/estimate series for hemodynamic response curve
%
% hcons... |
0d18a7eb2d7e587cf1cd8e103c8f64f9e0a7515ecab417df23efb72e63aac22b | MATLAB | 6,327 | 189 | clear;
clc;
do_save_fig= 0;
%% Common parameters
fs= 20e3;
stimdur_s= 1;
stimlen= round(fs*stimdur_s);
fc_Hz= 3e3;
mod_depth= 1;
t_stim_ms= (1:stimlen)/stimlen*stimdur_s*1e3;
%% freq params
fm_Hz= .5e3;
dam_f_start= 2^4;
dam_f_end= 2^10.25;
dam_traj_Hz= 2.^linspace(log2(dam_f_start), log2(dam_f_end), stimlen);
t_... |
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