sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
422f901a6221dfe918b2b88ce71b70d2b726c8ae1a11e6263e3c3e9ed2852449 | MATLAB | 5,530 | 181 | % mglTestScreenParams.m
%
% usage: mglTestScreenParams(<msc>)
% by: justin gardner
% date: 06/29/16
% purpose: Taken out of mglEditScreenParams so that it can be run separately.
% usage: mglTestScreenParams (opens default screen)
% mglTestScreenParams('screenName') opens up a spec... |
a81d78be3c6f4cec5cfb8426a2a52975cdb617726764b3d6f7abdce1872359ab | MATLAB | 5,531 | 154 | function freq = ft_datatype_freq(freq, varargin)
% FT_DATATYPE_FREQ describes the FieldTrip MATLAB structure for freq data
%
% The freq data structure represents frequency or time-frequency decomposed
% channel-level data. This data structure is usually generated with the
% FT_FREQANALYSIS function.
%
% An example of ... |
34f57ea067fe7818d1b27ced8993d9e18c6063b023f99ce5635b559baa828d54 | MATLAB | 5,532 | 152 | % eeglab2fieldtrip() - do this ...
%
% Usage: >> data = eeglab2fieldtrip( EEG, fieldbox, transform );
%
% Inputs:
% EEG - [struct] EEGLAB structure
% fieldbox - ['preprocessing'|'freqanalysis'|'timelockanalysis'|'companalysis']
% transform - ['none'|'dipfit'] transform channel locations for DIPFIT
% ... |
db8f726a2d07d541381ea1e8fa310598de81e2459f2072aaa3d05c0809b177b8 | MATLAB | 5,538 | 144 | % computeWienerKernel.m
%
% Function to compute first-order Wiener kernel, as estimate of linear
% filter, using the method described in French 1976, as in Clark et al.
% 2011 and Nagel and Wilson 2011.
% Attenuate high-frequency content following filtering method of Nagel and
% Wilson 2011. c(w) = e^(-|w-f_cut|/f_t... |
c0ac4917d7215f4499aa00d0608db80241fb79c1e70c741b6b9f03ef4497063d | MATLAB | 5,546 | 118 | function event = ft_filter_event(event, varargin)
% FT_FILTER_EVENT does what its name implies
%
% Use as
% event = ft_filter_event(event, ...)
%
% The optional arguments should come in key-value pairs and determine the
% filter characteristics:
% type = cell-array with strings
% value = numeric a... |
f20141e493636bb8268c233e08c7b735746e08b5f1ba281bcff0c54021b03cc2 | MATLAB | 5,546 | 152 | classdef Clustering < types.core.NWBDataInterface & types.untyped.GroupClass
% CLUSTERING DEPRECATED Clustered spike data, whether from automatic clustering tools (e.g., klustakwik) or as a result of manual sorting.
% REQUIRED PROPERTIES
properties
description; % REQUIRED (char) Description of clusters or cluster... |
a90490aca03d7d4745e527b83f0f3c85bbbbdd2058a58737f5c2ef3e998c8c71 | MATLAB | 5,554 | 170 | %Test Various things
%
%AUTHOR: Eric Fields
%VERSION DATE: 12 June 2020
%Load a GND for testing
FMUT_dir = fileparts(fileparts(which('A_setupTest')));
load(fullfile(FMUT_dir, 'testing', 'data', 'EmProb_13subs_Test.GND'), '-mat');
load(fullfile(FMUT_dir, 'testing', 'data', 'Disflu_GroupLevel.GRP'), '-mat');
... |
815dd9f1a171abdd62edac519882dea5bf0b48f2a1cdc4940cd3eb879919ab53 | MATLAB | 5,560 | 181 | function Params = ReadBrukerParams(folderName, procno, Params)
% updated X.L, 2019-09
% Do complicated stuff to get filename.......
if(filesep=='\')
% Windows
delimiter = '\\';
else
% Linux
delimiter = '/';
end
% Split up
parentFolders = textscan(folderName, '%s', 'delimiter', delimiter);... |
9f14954236d502b951a74d971b41edad5d94158a47721c2a93b03fcb072f7596 | MATLAB | 5,564 | 183 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
% This makes Figure S10 (BF90 per context and per stability type)
close all
clear all
clc
% Paths
run('../load_figure_config.m')
INPUT_FOLDER = CHENGS_TASK_2C_FIGURES_CONFIG.DATA_FOLDER;
OUTPUT_FOLDER = CHENGS_TASK_2C_FIGURES_CONFIG... |
9c8d8ae6d767fdd4b88eb745b3650feba228d9572bcd29b156d0754af0ef88f4 | MATLAB | 5,569 | 203 | function [] = Fig08_Plot_InputOutputHist_Single_TN1A2()
% Code for plotting the histogram in Fig. 8e.
%% parameters
pIP10 = [13417,13038]; % pIP10 (L, R)
pMP2 = [11977,11987];
dPR1 = [10267,10300]; % dPR1
TN1A1 = [15521,16465,15148,12883,16207,...
16113,14581,14810,15387,17640];
TN1A2 = [13945,14401,13928,16391,16... |
34221f34f63dc760d736e7456627e9943873700d8aa798dd0ecf4917868f5783 | MATLAB | 5,570 | 188 | function err = save_nifti(hdr,niftifile)
% err = save_nifti(hdr,niftifile)
%
% Pixel data should be in hdr.vol
%
% Handles data structures with more than 32k cols by setting
% hdr.dim(2) = -1 and hdr.glmin = ncols. This is FreeSurfer specific,
% for handling surfaces. The exception to this is when the total
% number of... |
4156cd67623058152d45b0757ffe25d41bef9aa95120a7f3e1c59e6afe3cdcbe | MATLAB | 5,576 | 149 | classdef OpticalSeries < types.core.ImageSeries & types.untyped.GroupClass
% OPTICALSERIES Image data that is presented or recorded. A stimulus template movie will be stored only as an image. When the image is presented as stimulus, additional data is required, such as field of view (e.g., how much of the visual field ... |
7bfe188933c274e030af11ad9884ea8e00a4b16c632ab06fc3ebb07c9e39d7d2 | MATLAB | 5,576 | 187 | % mglTestTex.m
%
% $Id: mglTestTex.m 695 2010-02-24 08:14:14Z justin $
% usage: mglTestTex(screenNum)
% by: justin gardner
% date: 04/11/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose:
%
function retval = mglTestTex(screenNumber)
% check arguments
... |
b41f769b1370987898eb46ce6320bf5bc2f9ccc3831ca2c4dfe34479e8cfb77b | MATLAB | 5,577 | 153 | classdef simul3Dsphere_cuda_pgse < handle
properties (GetAccess = public, SetAccess = public)
TD;
dtime; Tstep; NPar; Din; Dex; kappa; pinit;
% dt_lls; adSig; rdSig; mdSig; akSig; rkSig; mkSig;
dx2t; dx4t; sig;
Del; del; bval; bvec;
% dx2tSig; dx4tSig;
% ... |
41ae87181549cad5de47f91f6fb39d00169c5b8006663112aec63da657bd7625 | MATLAB | 5,587 | 96 | function S = gen_burst_spike_times(spike_opts)
% S = gen_burst_spike_times(spike_opts)
%
% This function creates a matrix of spike times for K neurons over nt
% time-steps. The input to this function is a struct with the following
% properties:
%
% spike_opts - Struct containing the main options used for generatin... |
848b56563d060440011dfad94adbc5d270d5b1950b4cc8b456c719300e3aeb55 | MATLAB | 5,588 | 147 |
function [sEPhysAnalysis]= EPhysAnalysis_20161024(mouse, date, movie, touches,good_electrodes,endFrame,startRecording,stopRecording)
CSC_path = uigetdir('C:\Users\alont\Documents\Tess\EphysData','CSC path');
%% Cheetah Events
sf=1000000;
[TimeStamps, EventIDs, TTLs, Extras, EventStrings, Header] = Nlx2Mat... |
306073fe1ce4f9f63fd9dce3f78308b3fbb94b9a642a3b66cb628f4b5bdc046f | MATLAB | 5,589 | 168 |
% updated 2024/3/23, function for calculating statistics of peak intensity, interpeak interval (Jerry paper)
% script_BatchProcess_IPI_v2.m is for data with drug, so add a new variable
% "peak_class" to indicate
% 1: before drug;
% 2: after drug;
% 3: not the above.
function [cellnum,p2p_beforeDrug,p2p_afterDrug,...... |
77dcd0fb7abf64febcc5505a7e6459dd5978dbaf47d352b5daba2eb5d33a9068 | MATLAB | 5,591 | 139 | function [dat] = read_plexon_ddt(filename, begsample, endsample)
% READ_PLEXON_DDT reads header or data from a Plexon *.ddt file,
% which is a Plexon continuous data file optimized for continuous
% (streaming) recording where every channel is continuously recorded
% without gaps and the recording includes any dead tim... |
b0c051af6271acc6ebf088bc05827dc38de01ecb62820d10975c92d016917b82 | MATLAB | 5,593 | 174 | % anova_legsIC_cond.m
%
% Function to compute 2-way ANOVA, leg identity as
% one factor and the condition identity as the other factor (select 2 or
% more output files, each represents one condition).
% Also performs multiple comparisons
% Runs on output files of saveLegStepParamCond_bouts()
%
% INPUTS:
%
% OUTPUTS:
... |
1192aee17b451ec3760c4af476f376ec1567306c38816f2a94565d9abd76ba6b | MATLAB | 5,596 | 136 | % ********** Setup the directory on your computer **********
clear
restoredefaultpath
filePath = matlab.desktop.editor.getActiveFilename;
root0 = fileparts(filePath);
addpath(genpath(fullfile(root0,'lib')));
root = fullfile(root0,'data');
projname = 'cylinder_1';
%% Create b-table using mrtrix
ndir = 30; ... |
5dd8c3b1763113de3bd10957545bd6af8580e6ccf2d856a6336bffa078a75289 | MATLAB | 5,598 | 136 | % ********** Setup the directory on your computer **********
clear
restoredefaultpath
filePath = matlab.desktop.editor.getActiveFilename;
root0 = fileparts(filePath);
addpath(genpath(fullfile(root0,'lib')));
root = fullfile(root0,'data');
projname = 'sphere_1';
%% Create b-table using mrtrix
ndir = 30; %... |
af57e5487f0e5e7bfa3e5692e7d35eae7ddca115a2cf2e309c1414f3411dac34 | MATLAB | 5,598 | 149 | function s = convert(tree,uid)
% XMLTREE/CONVERT Converter an XML tree in a Matlab structure
%
% tree - XMLTree object
% uid - uid of the root of the subtree, if provided.
% Default is root
% s - converted structure
%_______________________________________________________________________... |
24a16a57599c8baa9c2a85ec315a22b8e7bc9a4dc4586b96106e55653fca881e | MATLAB | 5,601 | 191 | function outtrx = FlyTracker2WingTracking_helper(ftfile,trxfile,perframedir,outtrxfile,perframe_params,arena,newid2oldid,annfile)
if ischar(ftfile),
ftd = load(ftfile);
else
ftd = ftfile;
end
if ischar(trxfile),
intrx = load(trxfile);
else
intrx = trxfile;
end
outtrx = intrx;
nflies = numel(intrx.trx);
if ~ex... |
8141ad27bdee4063c15f3736b953a26dc00b0381dcba8368c60dfc44d52e613a | MATLAB | 5,601 | 217 | #!/bin/bash
#SBATCH --time=72:00:00
#SBATCH --job-name=NegPerturbD2
#SBATCH --cpus-per-task=2
#SBATCH --mem=3G
#SBATCH --cpus-per-task=2
#SBATCH --array=1-101
#SBATCH --output=outputs/MCS_Neg_Wgain_D2_A%A_%a.out
#SBATCH --error=outputs/MCS_Neg_Wgain_D2_A%A_%a.err
#Load Matlab 2017a module
ml MATLAB
matlab -nojvm -nod... |
851eb2a86d1d38a2dd1f14f894b4be38c69f69f167ee64646bd234a0fca224c8 | MATLAB | 5,604 | 183 | % mglTestScreenParams.m
%
% usage: mglTestScreenParams(<msc>)
% by: justin gardner
% date: 06/29/16
% purpose: Taken out of mglEditScreenParams so that it can be run separately.
% usage: mglTestScreenParams (opens default screen)
% mglTestScreenParams('screenName') opens up a spec... |
711c1d3ccb2c227cd9674452ded741a0e0b8ef14eab8d5375ea53b617af1c7bb | MATLAB | 5,607 | 172 | %
% Compute link predictions using decompositions.
%
% PARAMETERS
% $NETWORK
% $DECOMPOSITION
%
% INPUT
% dat/info.$NETWORK
% dat/fit.$DECOMPOSITION.$NETWORK.mat
% dat/split.$NETWORK.mat
% dat/decomposition_split.source.$DECOMPOSITION.$NETWORK.mat
% dat/decomposition_split.training.$DECOMPOSITION.$NETWORK.mat
%
% ... |
8b8bace80b71967cd42ea7a733217f6b56b654a548ef45558a6f66419a6fef23 | MATLAB | 5,607 | 109 | clear all
close all
clc
addpath('/data/jux/BBL/projects/pncBaumStructFunc/spin_test/spin-test-master/scripts')
addpath('/data/jux/BBL/projects/pncBaumStructFunc/scripts/colorbrewer/cbrewer/cbrewer')
addpath('/data/jux/BBL/projects/pncBaumStructFunc/scripts/colorbrewer/MatPlotLib2.0_colormaps')
addpath('/data/jux/BBL/p... |
c12044f052188588f1f60cd9cc288614eea79e9b024209c84278c33ffd5b7ef5 | MATLAB | 5,607 | 143 | % Script to make select the appropriate precompiled binaries for installation or make the mex files from source
% Check if running in Octave (else assume Matlab)
info = ver;
isoctave = any (ismember ({info.Name}, 'Octave'));
% Initialise
errflag = false;
clear mexext
% Create cell array of paths to add
arch = comp... |
cd514aa94971410591542aca18d10f07061040fbe799b8a32f63c608dbba16c8 | MATLAB | 5,613 | 153 | % clc, clear
% close all
%% a demo script to show discard too small/too dim components after network segmentation
% you can supply any other criteria (like throw away boundary components, apply vessel masks, etc)
% all threshold can be adjusted.
% last update: 5/30/2020. YZ
addpath(genpath('C:\Matlab Files\missing_... |
5ab6a0cb8bb692d7ab8b2066de58f3ec318f49f4376465bb2261cd6360785e70 | MATLAB | 5,615 | 129 | function [U] = h3ddir(zk,srcinfo,targ,pgt)
%
%
% This subroutine computes the N-body Helmholtz
% interactions and its gradients in three dimensions where
% the interaction kernel is given by $e^{ikr}/r$
%
% u(x) = \sum_{j=1}^{N} c_{j} \frac{e^{ik\|x-x_{j}\|}}{\|x-x_{j}\|} -
% v_{j} \cdot \nabla \left( \fr... |
48e26f6beebc456646b7ea7840a1c1fd46d4c898afda4b4614d92afc0edbe911 | MATLAB | 5,622 | 118 | % Marc Normandin, Muzzio Lab, Psychological & Brain Sciences, University of Iowa, 2024
function [R, success] = compute_stability_bfo90_table_v2(StabilityPerCell, BFO90_FILTER_MIN_MAPS, BFO90_FILTER_MIN_TRIAL_CORRELATION)
% This differs from version 1 in that the stability information comes
% from the percell da... |
2c7370b8cf071945aa8701a3d385a8e10a1736462ec952cccce7237f456df543 | MATLAB | 5,625 | 224 | #!/bin/bash
#SBATCH --time=72:00:00
#SBATCH --job-name=NegPerturbH3uws
#SBATCH --mail-type=END
#SBATCH --mail-user=
#SBATCH --mem=3G
#SBATCH --cpus-per-task=2
#SBATCH --array=1-101
#SBATCH --output=outputs/UWS_Neg_Wgain_H3_A%A_%a.out
#SBATCH --error=outputs/UWS_Neg_Wgain_H3_A%A_%a.err
#Load Matlab 2017a module
ml MATL... |
ddcb5b964d08e6031e57eb02d18eb7362aaa33fe900fe19f8bb63c4f1e6811d9 | MATLAB | 5,626 | 224 | #!/bin/bash
#SBATCH --time=72:00:00
#SBATCH --job-name=NegPerturbH3
#SBATCH --mail-type=END
#SBATCH --mail-user=
#SBATCH --mem=3G
#SBATCH --cpus-per-task=2
#SBATCH --array=1-101
#SBATCH --output=outputs/MCS_Neg_Wgain_H3_A%A_%a.out
#SBATCH --error=outputs/MCS_Neg_Wgain_H3_A%A_%a.err
#Load Matlab 2017a module
ml MATLAB
... |
c4e3f3d82fcfb324bafe376ef2ca56e4f3e199e7e1ddb47fbe6c53239a750f40 | MATLAB | 5,628 | 133 | function [params, hvol] = simseq_loadPRFParams(pths, dt, hemi, roi, spatialModel, veThresh, hvol, subFolder)
% Function to select pRF params from toonotopy experiment within ROI
% cd to toon data
cd(fullfile(pths.dataDirToon, pths.toon))
if ~exist('veThresh', 'var') || isempty(veThresh)
veThresh = 0;
end
if ~exi... |
b414582c05be413f879b0519c16f0dee043b6ef558d6989319d870b08f317ced | MATLAB | 5,629 | 158 | function speed_distance_all_sessions(session,Area,threshold,Ndir,t_from,t_upto)
%% speed_distance_all_sessions compares the distance between
%% trajectories corresponding to movements with different speeds (same
%% direction and distance) and movemements of adjacent bin directions (same speed)
%% It then repeats th... |
fc49980a3a5009e87c0d25156ec156cc5737067dd36c3489d1dbb3e2d81c2912 | MATLAB | 5,634 | 195 | <<<<<<< HEAD
function [genuinesNorm, impostorsNorm, genuinesAggr, impostorsAggr, genuinesBestRot, impostorsBestRot, fprNorm, fnrNorm, fprAggr, fnrAggr, fprBestRot, fnrBestRot] = ...
computeVerificationPerformanceRot(numImagesTest, distMatrix, distMatrixBestRot, filenameTestPCA, stepPrint, param)
% distMatrix
% dis... |
66c5cd3cc0cf667b9befe49ca877f1ed82c352c2e3e7502037e0fc40ea3d978b | MATLAB | 5,636 | 146 | function [] = plotChannels(probe, plottypein, rangetypein, breakdowntypein)
%PLOTCHANNELS Plot histrogram or spatial plot of channel distribution
% Plot the channels. There are two plot types: histogram and spatial.
% Histogram plots the channels in a histogram showing frequency of SD
% separations. By default, t... |
111bf068bd412880545548e598c373c38a8f548cd758f32200bbbb9f3d980223 | MATLAB | 5,638 | 220 | #!/bin/bash
#SBATCH --time=72:00:00
#SBATCH --job-name=NegPerturb5HT2A
#SBATCH --mail-type=END
#SBATCH --mail-user=
#SBATCH --mem=3G
#SBATCH --cpus-per-task=2
#SBATCH --array=1-101
#SBATCH --output=outputs/MCS_Neg_Wgain_5HT2A_A%A_%a.out
#SBATCH --error=outputs/MCS_Neg_Wgain_5HT2A_A%A_%a.err
#Load Matlab 2017a module
m... |
923d627a5617a5959635f041d23c8e915a03053cf3b8317c1296492d7b39913e | MATLAB | 5,639 | 141 | % segments data from each block into trials from 1s before heat onset to 10s
% after cue onset (1s after rating), concatenates data from all blocks
% and saves it in pd_epo_all.mat
% events are stored in a combined file related to the epoch
% additionally creates single trial plots so that one can check data
% quality
... |
150d9b1b43feac7824152cba374e2ca2080b2c37483514a05b2567373fce9c4f | MATLAB | 5,640 | 139 | function [outputStruct,navigator] = TDMS_dataToGroupChanStruct_v2(inputStruct,varargin)
%TDMS_dataToGroupChanStruct_v2 Converts output into tiered structure
%
% [outputStruct,navigator] = TDMS_dataToGroupChanStruct_v2(inputStruct)
%
% This function tiers the data into groups & channels but leaves the
% cha... |
f06936ee28fcd04e8d38dbc75981d191bc98d1f6df55c4ce73f9f733726cbe2a | MATLAB | 5,640 | 110 | function instruct_DF(iTrial,p,s,i,r)
instrOn = (iTrial == 1) || (iTrial == p.nPracticeTrials+1) || (i.modality(iTrial) ~= i.modality(iTrial-1)) || (i.task(iTrial) ~= i.task(iTrial-1));
if instrOn == 1;
if isnan(i.practTrialType(iTrial));
KbQueueRelease(p.keyboardIDSubject);
elseif ~isnan(i.practTrial... |
9880fd3349689f0f6dac2cc267d7d3bc4d58cac8fc1e483403f6ede963f06383 | MATLAB | 5,641 | 146 | clear all
close all
% Load images.
imgDir = uigetdir('Please select a folder...'); % Open a dialog to select the folder containing images.
imgSet = imageDatastore(imgDir); % Create an image datastore for all images in the selected folder.
str = imgSet.Files{end}; % Get the file name of the last image in the folder.
st... |
f66a0f32ad4a06905e802526e96965b14752b23021aa1874277e4e288d18a7c8 | MATLAB | 5,647 | 141 | % segments data from each block into trials from 1s before heat onset to 6s
% after cue onset (1s after rating), concatenates data from all blocks
% and saves it in pd_epo_all.mat
% events are stored in a combined file related to the epoch
% additionally creates single trial plots so that one can check data
% quality
... |
003f8057155c8072a373ef2cae7c34799e52309b9e2a2a81a8c046fdd5cc6a68 | MATLAB | 5,650 | 129 | function [center_line_interp, thin_image_returned, BW, isGoodFrame, thinning_iteration] = initialize_contour(I, nPoints, best_threshold)
%Initializes the contour given a threshold value
%% STEP 1: use mexican hat filter to find tips %%
[~, labeled_filtered_image, BW] = tip_filter(I, best_threshold);
la... |
815d7396bbfa0953f5b5cb7dc9b7f36558c8e762f612fce76e751f41580d7079 | MATLAB | 5,650 | 114 | %% Script to run in parallel multiple PCA-CCA of psychosis-related diagnoses
% Copyright (C) 2023 University of Seville
% Written by Natalia García San Martín (ngarcia1@us.es)
% This file is part of Neurobiology Centiles Psychosis toolkit.
%
% Neurobiology Centiles Mapping toolkit is free software:
% you c... |
80009e378affdb6a2191d431d2218758c96bcb766691285c50e5f0b321a5d925 | MATLAB | 5,652 | 201 | function state = dss_core_defl(state)
% Deflation DSS algorithm
% state = dss_core_defl(state)
% Calculates denoising source separation separately for each component.
% Begins or continues calculation defined by state structure and
% returns the result as state structure. Calculation can be interrupted
% ... |
9784cacf08deeadf0e519564bd24d58e441a8cc3080c37208dd622e488309eba | MATLAB | 5,652 | 217 | #!/bin/bash
#SBATCH --time=72:00:00
#SBATCH --job-name=NULL_D2_UWS
#SBATCH --mail-type=END
#SBATCH --mail-user=
#SBATCH --mem=3G
#SBATCH --cpus-per-task=2
#SBATCH --array=1-101
#SBATCH --output=outputs/UWS_Null_D2_A%A_%a.out
#SBATCH --error=outputs/UWS_Null_D2_A%A_%a.err
#Load Matlab 2017a module
ml MATLAB
matlab -no... |
1eb2fe30f6d2b67aa752d5dfafbef86ddbf19e465a1fa472dcb7f3e0e3a379ea | MATLAB | 5,655 | 147 | % dsFiltFictrac.m
%
% Function that downsamples and smooths fictrac data and returns new fwd,
% slide, and yaw postion and velocity, x and y position, total speed, and
% yaw speed, as well as t and dropInd in fictrac struct.
%
% Adapted from function of same name in 2PAnalysisCode-Helen
%
% INPUT:
% fictracParams -... |
90a01bcc0b312620a17f30cc7a1411227f7d54fa17b4b13d94e61e7a5a1d3352 | MATLAB | 5,655 | 197 | %run_residuals_nhp_data.m
%%
clear all;
close all;
clc;
warning('on','all')
%% add fn paths if not added yet
% assumes script run within local directory
scriptdirs = {
'../../analyze';
'../../helper_functions';
};
addpath(scriptdirs{:})
%%
datadir = '../../spk_evt_data';
addpath(datadir)
tablefile = 'units_table.ma... |
daca9a99d585f9de5fbfb446741c2811275000e021f1790397ddfeb0896d873d | MATLAB | 5,655 | 200 | %run_shuffling_nhp_data.m
%%
clear all;
close all;
clc;
warning('on','all')
%% add fn paths if not added yet
% assumes script run within local directory
scriptdirs = {
'../../analyze';
'../../helper_functions';
};
addpath(scriptdirs{:})
%%
datadir = '../../spk_evt_data';
addpath(datadir)
tablefile = 'units_table.ma... |
cd6b0a7cb5833067c5d6db4f6dc7ff521a992c540bf3587e37e8299146ca31a6 | MATLAB | 5,660 | 146 | classdef EventDetection < types.core.NWBDataInterface & types.untyped.GroupClass
% EVENTDETECTION Detected spike events from voltage trace(s).
% READONLY PROPERTIES
properties(SetAccess = protected)
times_unit; % (char) Unit of measurement for event times, which is fixed to 'seconds'.
end
% REQUIRED PROPERTIES
p... |
84a7620706b9a4e1fcf87c60885582821e842524bb5914842bd6ffe8c69ed5fd | MATLAB | 5,667 | 164 | function HDR=bdf2biosig_events(HDR, Mode)
% BDF2BIOSIG_EVENTS converts BDF Status channel into BioSig Event codes.
%
% HDR = bdf2biosig_events(HDR [,Mode])
%
% INPUT:
% HDR is the header structure generated by SOPEN, SLOAD or mexSLOAD
% from loading a Biosemi (BDF) file.
% Specifically, HDR.BDF.ANNONS contains t... |
b5f96d087577305e1321eb5ae470e72471040f8ce20b03f70d390d2ef94cec36 | MATLAB | 5,667 | 131 | %load/select all subjs TFR
clear;clc;clf;close all
%% Load clean MEG file
data_folder='/rds/projects/j/jenseno-avtemporal-attention/Projects/Load/MEG Data/proc_data/'; %Portal
addpath /rds/projects/j/jenseno-avtemporal-attention/Programming/MATLAB/fieldtrip-20210328 %Portal
saveFolder = '/rds/projects/j/jenseno-avtemp... |
814bc03efa04d7949f4ac4c35ded464a5aaabf22df9d720151e3a4df7f2d8a59 | MATLAB | 5,669 | 138 | function [type] = ft_voltype(headmodel, desired)
% FT_VOLTYPE determines the type of volume conduction model of the head
%
% Use as
% [type] = ft_voltype(headmodel)
% to get a string describing the type, or
% [flag] = ft_voltype(headmodel, desired)
% to get a boolean value.
%
% For EEG the following volume conduct... |
77528cd1e79eae90c325b23bb1628855098f947ab6efdd3686523c8809fbd552 | MATLAB | 5,672 | 217 | #!/bin/bash
#SBATCH --time=72:00:00
#SBATCH --job-name=NULL_5HT2A_UWS
#SBATCH --mail-type=END
#SBATCH --mail-user=
#SBATCH --mem=3G
#SBATCH --cpus-per-task=2
#SBATCH --array=1-101
#SBATCH --output=outputs/UWS_Null_5HT2A_A%A_%a.out
#SBATCH --error=outputs/UWS_Null_5HT2A_A%A_%a.err
#Load Matlab 2017a module
ml MATLAB
m... |
c26a9cf043eabde8acf3def18a46e4386c93ab56231fea23af840ed9839bc085 | MATLAB | 5,677 | 131 | % Final Regression Script
clear all
clc
%cd('M:\Matt Chilvers\OneDrive - University of Calgary\PhD_Projects\Project3_WhiteMatterLesion\Scripts\Plots\ScatterPlots\FinalRegressionAnalysis')
cd('/Users/dukelowlab/Library/CloudStorage/OneDrive-UniversityofCalgary/PhD_Projects/Project3_WhiteMatterLesion/Scripts/Plots/Sc... |
e8d2e0a5eed5449d72f91ccf7e38f8ab170f58fd9f764191003f6d17521a3890 | MATLAB | 5,685 | 121 | function bg_proc = sort_axons(vol_params, axon_params, gp_bgvals, cell_pos)
% bg_proc = sort_axons(vol_params, axon_params, gp_bgvals, cell_pos)
%
% This function ranndomly sorts length(gp_bgvals) axons into N_proc bins
%
% The inputs to this function are:
% - vol_params - Struct containing parameters for the volum... |
a31b2a9335c95fbe5002c0360931990e5a1dc903767f3baed4047c1a6de49565 | MATLAB | 5,691 | 148 | function [dat] = read_yokogawa_data_new(filename, hdr, begsample, endsample, chanindx)
% READ_YOKAGAWA_DATA_NEW reads continuous, epoched or averaged MEG data
% that has been generated by the Yokogawa MEG system and software
% and allows that data to be used in combination with FieldTrip.
%
% Use as
% [dat] = read_y... |
34e95c66cc45ce680b4a4c63c8d5266c0f62e16063dece6186c93cc8e426b313 | MATLAB | 5,704 | 136 | classdef ClusterWaveforms < types.core.NWBDataInterface & types.untyped.GroupClass
% CLUSTERWAVEFORMS DEPRECATED The mean waveform shape, including standard deviation, of the different clusters. Ideally, the waveform analysis should be performed on data that is only high-pass filtered. This is a separate module because... |
67bc2f641957a5cc2824c23f9e2e23764843f7fecb562d6d57b339dcebbf0b41 | MATLAB | 5,706 | 155 | function variability_behaviour(fig1)
%% variability_behaviour shows the variability in whisker behaviour
% This function plots:
% 1. The touch epochs and delta kappa from an example trial
% 2. The touch epochs from an example session
% 3. Statistics of behavioural variables (divided into hit and miss trials):
% 3.1 D... |
207b69a5df3a701aec26b3e504b06862aa1ff112ef6ceddd6998af75b9879526 | MATLAB | 5,707 | 184 | function [data_corr] = corr_MAspline(data, artifact)
% CORR_MASPLINE
% This function corrects the motion artifacts with a spline interpolation
% and is an adapted version of the Homer 3 function:
% hmrR_MotionCorrectSpline (p = 0.99)
%
% INPUT:
% - data: the fNIRS data in fieldtrip structure
% - artifact: artifact fiel... |
cbf62c86c20511aad5f29590ce971b6e7a3aaa7b06fbd74d7f97a4f25917dbb7 | MATLAB | 5,720 | 177 | function embedding_dimensions_all_sessions_dpca(Sessions,Area,threshold,Ndir,Nbins,t_from,t_upto,edges_dur_bin,session_N,do_plot,plot_supp)
%% embedding_dimensions_all_sessions calculate the number of embedding dimensions for all recordings denoted in Sessions and Area
%
% INPUTS
%
% Sessions: cell array containing the... |
a80243fe7cf1d88e893c7c4a58d19d6ff46182376a1e455784e9a1d8201a07f7 | MATLAB | 5,721 | 181 | % plotRaw2ChImgFicTracLegVidData.m
%
% Function to plot raw traces of imaging data (dF/F) for all ROIs and
% FicTrac data (yaw angular velocity and forward velocity), each in its
% own separate subplot. Allows user to click at specific time to display
% brief clip of leg tracking video, starting at time of click.
... |
72a1f2a1cb60b403bd0545ca3adc45a1b1ddb72f4c60f27899b99169beeda81f | MATLAB | 5,728 | 151 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Code for the numerical simulations and computational results
% in the manuscript "Fibromyalgia pathogenesis explained by
% a neuroendocrine multistable model"
% by Ilaria Demori, Serena Losacco, Giulia Giordano, Viviana Mucci,
% Franco Blanch... |
ffb2d71e84da73767c23abb8c2e9b133d9fd3d27c43755e1abd965a48334c6f5 | MATLAB | 5,731 | 140 | function [] = plot_worm_frame_post_analysis_showing_path_subplot(I, center_lines, centerline_color, stim_color, debugimage,in_track_index,current_ellipse_ratio,smoothed_path_x,smoothed_path_y,stimulus_delivered,path_history,demo_mode,initial_frame,all_ellipse_ratio,worm_of_interest,current_rails_dur,all_velocity,curren... |
c4eb742bd0ca1288a23d51636bf5d00c4a8ee420ab00630d9748b7e738d8faf9 | MATLAB | 5,733 | 232 | %% LOAD/ POOL CLUSTERING INFO/ activity
mice = {'EC1-1R','EC1-1R','FL5-3L','FL5-3L','FU1-00','FU1-00','GE3-00','GE7-1L1R','GE7-1L1R','GS2-1L','GS8-00','GS8-00'};
dates= {'2021-11-05','2022-01-13','2022-03-09','2022-04-18','2022-03-17','2022-05-10','2022-10-27','2022-10-20','2022-12-20','2022-11-21','2022-11-23','2022-... |
b2c1bc9677730d38d31c54c6476f5f91fd7636b78a717711448f768e430c2458 | MATLAB | 5,736 | 122 | function params = getTemporalParams(params)
% Function that grabs default temporal params for specified temporal pRF
% model and puts it in params.analysis.temporalModel.
%
% params = getTemporalParams(params)
%
% The function first checks if there is a Constant file (user-defined
% temporal parameter values). if the... |
ea3b6e64f91c9a4c38a61818bc1ee98579e0174dd74aef87dc1f3319188de2e6 | MATLAB | 5,739 | 179 | function [comp,comp_probs]=st_run_ica(cfg,data)
%---input checks and defaults----
ft_checkconfig(cfg,'required',{'elec','scoring'});
cfg.preclean=ft_getopt(cfg, 'preclean', 'yes'); %default: preclean
cfg.stages_ica_train=ft_getopt(cfg, 'stages_ica_train', cfg.scoring.label); %default: all available stages
cfg.runica_... |
d45b70c5f484c7d8609ca0839b36a77b27192aed71f4b155549d8d07631693f3 | MATLAB | 5,740 | 150 | function [meg] = read_ctf_meg4(fname, hdr, begsample, endsample, chanindx)
% READ_CTF_MEG4 reads specified samples from a CTF continous datafile
% It neglects all trial boundaries as if the data was acquired in
% non-continous mode.
%
% Use as
% [meg] = read_ctf_meg4(filename, hdr, begsample, endsample, chanindx)
% ... |
2d2d208b0c887d7085c434499624d3ae1cf685c1e295c7c1ebb2194739fbd7e8 | MATLAB | 5,744 | 181 | %
% Draw degree and edge weight distributions.
%
% PARAMETERS
% $network Name of dataset, e.g. "advogato"
% $ENABLE_POWER_LAW "1" to draw the variants with power-law gamma estimation (flat)
% $ENABLE_POWER_LAW_2 "1" to draw the variants with power-law gamma estimation (complex)
% $ENABLE_POWER_LAW_3 "1" to draw the ... |
c36183e1a0f5dd2fd1565c768c81f544ad7f977de17e2db4b5e16694e6fed5d1 | MATLAB | 5,744 | 199 | function [output] = ml_alg_popvectors_cumulative_similarity(sdataMaps, sdataCellIds, sdataTrialIds, sdataContextIds)
% sdataMaps should be a MxNxK matrix where P is the number of cells
% sdataCellIds should be a Kx1 array where each element is the cell id
% corresponding to the map
% sdataTrialIds should be a Kx1 array... |
b1486089d04bb8160212cf96dacc4b4908cf092d9dd2b73706e4968867c9b987 | MATLAB | 5,747 | 181 | function []= report_events (ds_events,ex_thresh)
%% UNPACK STRUCTURE
all_mchw=[];
all_mchws=[];
all_mchwe=[];
all_mchp=[];
all_mcho=[];
all_tdtw=[];
all_tdtws=[];
all_tdtwe=[];
all_tdtp=[];
all_tdto=[];
n_mch_events=[];
n_tdt_events=[];
% for i = ds
%
% all_mchw=[all_mchw,ds_events(i).onsets.mch_widths]... |
227ab6a25e7328842abd41be1ec91abb113401074832097a6d4c1b20ad52c5a9 | MATLAB | 5,750 | 199 | function [output] = ml_alg_popvectors_cumulative_similarity_rooms(sdataMaps, sdataCellIds, sdataTrialIds, sdataContextIds)
% sdataMaps should be a MxNxK matrix where P is the number of cells
% sdataCellIds should be a Kx1 array where each element is the cell id
% corresponding to the map
% sdataTrialIds should be a Kx1... |
2462026aa400a9a546246ef704fa19f68e7e0546d0a63a7d86d519ffee23f38b | MATLAB | 5,751 | 129 | %% Authors: Jiri van Bergen and Xu Li
% Affiliation: Radiology @ JHU - Kirby Center
% Contact via xuli@mri.jhu.edu
% updated 2019-07-09, X.L.
% updated 2021-05-04, X.L. fixed a bug
% updated 2021-08-11, X.L. fixed mac issue
% updated 2023-10-11, X.L. moved parameter update code here from CreateFcns
% Open fi... |
3490935961432ef3f7bdcab70a88360c3c74ada1da4baf30a193652e646233cc | MATLAB | 5,752 | 188 | function [hdr] = read_nmc_archive_k_hdr(paramfile)
% READ_NMC_ARCHIVE_K_HDR extracts 'header-data' for nmc_archive_k datasets
%
% Use as
% hdr = read_nmc_archive_k_hdr(paramfile)
%
%
% This function specifically only reads data from one of the archived
% datasets of the Neurophysiological Mechanisms of Cognition gro... |
dbae35f5b6ef660d612c36e826750bd88b20b79d621e41f59fc17b1155f7b7a3 | MATLAB | 5,752 | 221 | #!/bin/bash
#SBATCH --time=72:00:00
#SBATCH --job-name=NegPerturbD2UWS
#SBATCH --mem=3G
#SBATCH --cpus-per-task=2
#SBATCH --array=1-101
#SBATCH --output=outputs/UWS_Neg_Wgain_D2_A%A_%a.out
#SBATCH --error=outputs/UWS_Neg_Wgain_D2_A%A_%a.err
#Load Matlab 2017a module
ml MATLAB
matlab -nojvm -nodisplay<<-EOF
%struc =... |
6e49d14d1108116896265102132000dfa612406c7f2411737965abcb483b1ef1 | MATLAB | 5,757 | 165 | function [hc] = read_neuromag_hc(filename)
% READ_NEUROMAG_HC extracts the MEG headcoil marker positions from a neuromag
% fif file or from the fieldtrip buffer
%
% the definition of head coordinates is according to CTF standard:
% - Origin: Intersection of the line through LPA and RPA and a line orthogonal
% to L p... |
d51b2cb50f330be53ef38077508c37a87e7dfe9144ca804986ca8fbe3bdb8d90 | MATLAB | 5,759 | 166 | % For in vivo spine data analyzed using MapManager V_20171028
% Author: Richard Roth (rhroth@stanford.edu)
% Date: October 2019
% Based on MapManager-Matlab-1.0.1-alpha by Robert Cudmore, 20171016
% Used for NearesNeighbor.m
% Requires the following functions:
% segmentCall_withDist.m
% remove... |
20043864da6cb6312e925e91ed88aa8510202e0140f829905110a75b6e242495 | MATLAB | 5,764 | 150 | function target_new = OptimLocate(results,boundary,targetlen,distlimit,F2S)
% This algorithm is a variation of Lloyd's algorithm
%
% % setting variables
boundary_l = boundary(1:6,:);
boundary_r = boundary(7:end,:);
distw_l = results.distw_l;
distw_r = results.distw_r;
NonVesselOnSurf_l = results.NonVesselOnS... |
88150ca090ca8f48359c2bcc266c3d2dc761d7c37d8b8bd8e5b4038efe1df23e | MATLAB | 5,768 | 147 | % This script accurately computes and displays electric fields sampled on
% a cross-section (sagittal plane) via the FMM method with accurate neighbor integration
%
% Copyright SNM/WAW 2017-2020
%% Load/prepare data
planeABCD = [1 0 0 X]; % Equation of the plane of the cross-section (for neighbor trian... |
91d8b41ec74b378e677fa9790122aa19e00d8a5281491180a3869c819353726f | MATLAB | 5,772 | 196 | clear all
close all
tic
% Fig 8F, spectrin detachment on
% setting up the initial configuration
P.y0 = 180;
P.x0 = sqrt(P.y0^2 - (P.y0/2)^2);
P.max_y0 = 17*P.y0/2;
P.max_x0 = P.x0*15;
[r_s,T_s,edges_s,edge_type] = create_mesh(P);
P.actin = 1:size(r_s,1);
aux = find(r_s(:,1) == min(r_s(:,1)) & r_s(:,2) <= max(r_s(:... |
6d46dd43b7052880e4c373fe492864592798752e8f86223463ed6e919f322104 | MATLAB | 5,774 | 168 | function results = fitModelToVoxData(X,Y,varargin)
%% Function to fit model prediction to data at single voxel level
% params.analysis.regressionType = 'OLS';%'fracridge';
% Y = data.meanDetrendedData;
% X = data.predictionCatRuns;
% INPUTS:
% X : (int) prediction array (numT... |
c45bb74c47b3c9126d3e4f5ca52c6ac94cd6d5417a53de9b0021fdc9cfc81190 | MATLAB | 5,776 | 175 | function RF = stGaussian2dDoG(X,Y,sigmaMajor,sigmaSurround,theta, x0,y0)
% pmGaussian2d - Create a two dimensional Gaussian receptive field,
% this function is inherited from vistasoft/PRFmodel
%
% RF = stGaussian2dDoG(X,Y,sigmaMajor,sigmaMinor,theta,x0,y0, sigmaSurround);
%
% INPUTS
% X,Y : Sample positions... |
e62f3134c78e1099f0fb2d2ba74ffa05426cfc5a75e9ccf8f80b8e33c2c29918 | MATLAB | 5,780 | 107 | function [pnt, tri, srf] = read_bv_srf(filename);
% READ_BV_SRF reads a triangulated surface from a BrainVoyager *.srf file
%
% Use as
% [pnt, tri] = read_bv_srf(filename) or
% [pnt, tri, srf] = read_bv_srf(filename)
% Copyright (C) 2005, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru.nl/... |
f6d72b813c3a0e95f5aaa1e182b817286e4dd7b6e82b539d0f5bef9a959e2d91 | MATLAB | 5,781 | 143 | %expdir0 = '/groups/branson/home/robiea/Projects_data/FlyDisco/Bubble_data/socialCsChr_GMR_72C11_AE_01_CsChrimson_RigD_20191114T172654';
%expdir = '/groups/branson/home/bransonk/tracking/code/FlyTracker-1.0.5/Data/socialCsChr_GMR_72C11_AE_01_CsChrimson_RigD_20191114T172654';
%expdir0 = '/groups/branson/home/robiea/Proj... |
6c9d0fa60b60065f2d4f6830244c03755659296d771b14a3f305d1e4cd5b07c0 | MATLAB | 5,791 | 194 | % plotNormContLegStepParamCond_bouts_ipsiContra.m
%
% Normalize each bout's step param by subtracting out min and dividing by
% range. Compute FWHM
%
% INPUTS:
% whichParam - name of parameter to plot
% datDir - directory with output files
% yScale - y scale for plots, as [min max]
% semError - boolean for whe... |
70645da2dff2021d7f8ff3e7783d0ddf2f3b685a028a4ab22b7eb65505dfac8d | MATLAB | 5,791 | 130 | %% 1. ENTER DATASET INFORMATION
addpath(genpath('C:\Code\Github\Clustering-Pipeline'))
info.mouse = 'HE4-1L1R';
info.date = '2023-08-21';
info.servernum='W:';
info.pockels=300:100:500;
info.subset_pockels=1:length(info.pockels); % vector of pockels to actually include in clustering
info.savepathstr = '/Connie/Process... |
a133d0b365971be00a03e3ed713905f65b041fe6348e5e4d05bdb93fe01bb095 | MATLAB | 5,796 | 147 | % This script accurately computes and displays electric fields sampled on
% a cross-section (sagittal plane) via the FMM method with accurate neighbor integration
%
% Copyright SNM/WAW 2017-2020
%% Load/prepare data
planeABCD = [1 0 0 X]; % Equation of the plane of the cross-section (for neighbor trian... |
d38b8ef0f3891ee927cc12e97c33997ac0ee1a4fc1274c7073b6ece7b3a097b8 | MATLAB | 5,799 | 221 | #!/bin/bash
#SBATCH --time=72:00:00
#SBATCH --job-name=NegPerturbD1
#SBATCH --mail-type=END
#SBATCH --mail-user=
#SBATCH --mem=3G
#SBATCH --cpus-per-task=2
#SBATCH --array=1-101
#SBATCH --output=outputs/MCS_Neg_Wgain_D1_A%A_%a.out
#SBATCH --error=outputs/MCS_Neg_Wgain_D1_A%A_%a.err
#Load Matlab 2017a module
ml MATLAB
... |
9d314661729d43f5fcdf3dea8d2ef18a7afc4af7aa3e22880e3673647918da53 | MATLAB | 5,801 | 116 | function fH = plotLMMregressionSlopes_v_pRFExp_stRetParams(allLMMResults, ...
params, modelToPlot, roisToPlot, cmapROIs, saveFigs, saveFigDir)
ipsIdx = cellfind(regexp(string(roisToPlot),'IPS0/IPS1','once'));
roisNoIPS = setdiff([1:length(roisToPlot)],ipsIdx);
fH = figure; set(gcf,'Position',[544 512 687 ... |
a29eb81b9612ee1709d9d9da31b0d31244c17dfc89cb633db93ee8396d1bfa2d | MATLAB | 5,801 | 146 | function varargout = mglTestGammaGUI(varargin)
% mglTestGammaGUI M-file for mglTestGammaGUI.fig
% mglTestGammaGUI, by itself, creates a new mglTestGammaGUI or raises the existing
% singleton*.
%
% H = mglTestGammaGUI returns the handle to a new mglTestGammaGUI or the handle to
% the existing singlet... |
ebf93171121420f900ade17f35c15aa18db8371da49a2b5e9319d23dd760060d | MATLAB | 5,801 | 221 | #!/bin/bash
#SBATCH --time=72:00:00
#SBATCH --job-name=NegPerturbMU
#SBATCH --mail-type=END
#SBATCH --mail-user=
#SBATCH --mem=3G
#SBATCH --cpus-per-task=2
#SBATCH --array=1-101
#SBATCH --output=outputs/MCS_Neg_Wgain_MU_A%A_%a.out
#SBATCH --error=outputs/MCS_Neg_Wgain_MU_A%A_%a.err
#Load Matlab 2017a module
ml MATLAB
... |
6fc6fbad5c15feadedd4a59e6e855f63493c4c332984bc806b8c8b451dce5856 | MATLAB | 5,802 | 147 | % This script accurately computes and displays electric fields sampled on
% a cross-section (sagittal plane) via the FMM method with accurate neighbor integration
%
% Copyright SNM/WAW 2017-2020
%% Load/prepare data
planeABCD = [1 0 0 X]; % Equation of the plane of the cross-section (for neighbor trian... |
febac30d963c82f82d42f07b14a58b52d44be01a5987ebd0ebbaa1ee2bb36cd6 | MATLAB | 5,803 | 153 | % For in vivo spine data analyzed using MapManager V_20171028
% Author: Richard Roth (rhroth@stanford.edu)
% Date: Sept 2023
% Based on MapManager-Matlab-1.0.1-alpha by Robert Cudmore, 20171016
% This script requires a spine pool generated from in vivo imaging data
% that was first analyzed using MapManager V_2... |
9cc1c169e1e64eb51b7ee91e99c94409b5b73b8d8430f6e24134d05ad768c288 | MATLAB | 5,805 | 148 | %% Berron et al manual subfields in unfolded space
addpath(genpath([getenv('AUTOTOP_DIR') '/tools']));
f = fopen('datasets/testSet.txt');
subs = fscanf(f,'%c');
fclose(f);
subs = strsplit(subs)';
subs(end) = [];
FSlbls = [203:210 226];
FSlbls2 = [203:210 214 226]; % includes SRLM
mri_convert = 'singularity exec depe... |
9191cfb5b8e2c4f28cada2bfc23a2e363cdcc961aa3dba1e272cb08a1db0c791 | MATLAB | 5,806 | 158 | % mglSetGammaTable.m
%
% $Id$
% usage: mglSetGammaTable()
% by: justin gardner
% date: 05/27/06
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Set the gamma table
% set gamma with a function using 9 arguments:
%
% mglSetGammaTab... |
9f0c9d2055870d19a82d18db5ad6533dda1d1f20f1a86eb73d96bfd2fefcf73b | MATLAB | 5,807 | 174 | clear
load('stable.mat') ;
k1=1;k2=1;k3=1;k4=1;k5=1;k6=1;
for i=1:493
stable.go{i}=[population.goHit.eachDF{i}(1:90,:) population.goMiss.eachDF{i}(1:90,:)];%cue resposne time
stable.go{i}(:,find(isnan(stable.go{i}(1,:))))=[];
stable.nogo{i}=[population.nogoCR.eachDF{i}(1:90,:) population.nogoFA.eachDF... |
a766a2514fb9d9707728768ca7360895aba6d27fd5d35eadcfa031afab2ed124 | MATLAB | 5,807 | 222 | #!/bin/bash
#SBATCH --time=72:00:00
#SBATCH --job-name=NegPerturb5HT2A
#SBATCH --mail-type=END
#SBATCH --mail-user=
#SBATCH --mem=3G
#SBATCH --cpus-per-task=2
#SBATCH --array=1-101
#SBATCH --output=outputs/UWS_Neg_Wgain_5HT2A%A_%a.out
#SBATCH --error=outputs/UWS_Neg_Wgain_5HT2A%A_%a.err
#Load Matlab 2017a module
ml MA... |
c2984a0e1660b7fb669906c90c6913b1a1412c9a3a7d8c586a37ad89867e76de | MATLAB | 5,809 | 152 | function [n,r] = boxcount(c,varargin)
%BOXCOUNT Box-Counting of a D-dimensional array (with D=1,2,3).
% SEE: https://www.mathworks.com/matlabcentral/mlc-downloads/downloads/submissions/13063/versions/1/previews/boxcount/html/demo.html
% [N, R] = BOXCOUNT(C), where C is a D-dimensional array (with D=1,2,3),
% cou... |
b3abdbb15e0cb6b2533bba8453f9430799276b0992404eb5d2a16d5c74dca23e | MATLAB | 5,810 | 221 | #!/bin/bash
#SBATCH --time=72:00:00
#SBATCH --job-name=NegPerturbDAT
#SBATCH --mail-type=END
#SBATCH --mail-user=
#SBATCH --mem=3G
#SBATCH --cpus-per-task=2
#SBATCH --array=1-101
#SBATCH --output=outputs/MCS_Neg_Wgain_DAT_A%A_%a.out
#SBATCH --error=outputs/MCS_Neg_Wgain_DAT_A%A_%a.err
#Load Matlab 2017a module
ml MATL... |
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