sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
9a741e1ece7e817841aec2eb4c779de2d43d9de88cc9a3258210d988d147239b | MATLAB | 20,014 | 603 | %% Figure 2a & b (peak metrics)
% this script rungs additional analysis required for the plots of figure
% 2a & b.
%%
clear
ft_defaults
%% - SUBJECTS - %%
% ID 18 missing because of LP at 50Hz
subjects = {'OSL13', 'OSL14', 'OSL17', 'OSL21', 'OSL24', 'OSL26', 'OSL27', 'OSL28', ...
'OSL29', 'OSL30', 'OSL31', 'OSL... |
6a8db1c1cd652a5b851c75c6599d46974d3a2082f92bb2811f5f79c440e5eec4 | MATLAB | 20,090 | 454 | % function MAP_fig_1_multi(mname,config)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% ################################################################# %% DESCRIPTION
% Script to analyse data for:
% Grieves et al. (2020)
% Quantification of firing rate map procedures
%
% This script
% NO... |
aec6e682e62a344477ff76e736773c70813d1c9998aa9c5e60666b913ec03340 | MATLAB | 20,093 | 349 | function plot_cum_replay_temporal(epoch,bayesian_control)
% Plots distribution of replay events over sleep periods for each track and protocol.
% Histogram is calculated as the sum of cummulative replay event times across tracks & each experiment (always within a protcol),
% and averaged (divided) by number of active... |
3a8add968e97848fd25bf5169c463acb03bb0b35c500395fa515c71e56a4c402 | MATLAB | 20,122 | 792 | function st = ct_geom_par(type, varargin)
%|function st = ct_geom_par(type, varargin)
%|
%| Same as ct_geom, but adds a rebinned variable
%| ct_geom should be changed to include a new type instead
%|
%| Create the "CT geometry" structure that describes the sampling
%| characteristics of a cone-beam CT system (axial o... |
d4972bb43dde55644b19ef512eefc6e2932ef8611d9961477ce8a5af05770dbd | MATLAB | 20,128 | 801 | % LICENSE
%
% _This file is Copyright 2018 by the Image Processing and Analysis Group (BioImage Suite Team). Dept. of Radiology & Biomedical Imaging, Yale School of Medicine._
%
% BioImage Suite Web is licensed under the Apache License, Version 2.0 (the "License");
%
% - you may not use this software except in compl... |
3f175a0cd93628f7888bd964f45a297ee21ceeb8de5797b8e51e26d927a2aee4 | MATLAB | 20,190 | 527 | function check_neuralynx_validsamples(directory)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% CHECK_NEURALYNX_VALIDSAMPLES searches and inspects neuralynx (.ncs) files
% for invalid samples in a directory and all of its subdirectories. It then
% prints out in the command window how man... |
1913523ada2c443cb49ab8d4ef6290450b2d0438179ae43672ef53cd0ee90657 | MATLAB | 20,198 | 603 | function D = spm_eeg_convert(S)
% Convert various M/EEG formats to SPM12 format
% FORMAT D = spm_eeg_convert(S)
% S - string (filename) or struct (see below)
%
% If S is a struct it can have the optional following fields:
% S.dataset - file name
% S.mode - 'header' - only convert the... |
198ceb88d2bee141b6ba1436612e1228b3f8ceeaf03dc33d4e79fe001bcea63a | MATLAB | 20,251 | 538 | %% Analyzing Neural Time Series Data
% Matlab code for Chapter 27
% Mike X Cohen
%
% This code accompanies the book, titled "Analyzing Neural Time Series Data"
% (MIT Press). Using the code without following the book may lead to confusion,
% incorrect data analyses, and misinterpretations of results.
% Mike X Cohen... |
73ae33ca645ae2d43f82ceae3fa94d76edda470b6003f2068a83ab4036eeebd5 | MATLAB | 20,276 | 738 | % This code sets up and runs a Grimbert and Cang simulation
function r = runGrimbertCang(phenotype,useAltP,Pfactor,ignoreGradients,experiment)
% Cached data, used by estimateDensity
Xgrid = [];
Ygrid = [];
mask = [];
densityNormalisation = [];
SCmaskPad = [];
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
739b6ae80aee4056b957cb75eedda25282d8c13c6929fd6d3a2b8141dea96a66 | MATLAB | 20,279 | 678 | function ob = Gtomo_nufft(mask, dim_data, varargin)
%function ob = Gtomo_nufft(mask, dim_data, options)
%|
%| Construct Gtomo_nufft object, for Fourier-based forward and backprojection.
%| Currently handles 2D parallel and fan-beam cases.
%|
%| See Gtomo_nufft_test.m for example usage.
%|
%| Basically, you create an o... |
750a9fa9682a8e89c6d208511e11f0219b3aad59a0d54849cfe5c361da75d999 | MATLAB | 20,378 | 414 | function [Nburstlets, ISI_c, overallISI, IBI_c, overallIBI, sortedBwidth_iter, sortedBwidth_time, ...
sortedBbegin_iter, sortedBend_iter, sortedBelec, sorted_Itersinburst, sorted_Voltsinburst, ...
sorted_Timesinburst, sorted_Nspikesinburst, sorted_Bbegin_allE, sorted_Bend_allE, ...
EFireArray, EFireMatri... |
33ff57ac4900762bd8f4967687db1c8613c8c4d466cdd7302e32c917b1da2131 | MATLAB | 20,391 | 398 | function harvest_vars(varargin)
ip = inputParser();
ip.addParameter('include_eye', 0)
ip.parse(varargin{:});
include_eye = ip.Results.include_eye;
analysis_dir = '../data/analysis';
preprocessed_dir = '../data/preprocessed';
results_dir = '../data/results';
ex_names = {'M1_0008', 'M1_0010', 'M1_0012', 'M1_0013', 'M1_... |
66fed8fe8bf7521371ae3b7492442495c867fd01f503f2f19bbd2055df92f973 | MATLAB | 20,470 | 694 | %freq_ranges = [2.9 6] % low theta
%freq_name =[];
freq_ranges = [40 200];freq_name = 'g'
strt_time = 500
end_time = 800
addpath('/mnt/yassamri/iEEG/sandra/analysis_pipeline_final')
% elecs
if strcmp('57', subj)
fro_chan_idx = [1 4:8 13 16:17 25:27 35 37 44 46:47 70:83 89 91 98 99 101 102 108 109 110 1... |
dcd4f0f767d7849845f861c2c811cef41d59ef109ca3c0f134e0614b04d9f656 | MATLAB | 20,490 | 609 | function vtc = importvtcfromanalyze(imgs, bbox, res, imeth, trans, opts)
% importvtcfromanalyze - import a VTC from Analzye files
%
% FORMAT: vtc = importvtcfromanalyze(imgs [, bb [, res [, im [, t [, o]]]]])
%
% Input fields:
%
% imgs cell array with HDR filenames for xff
% bb option... |
e7ee4690ca99f4291bca6c80909e16915f5c9279baafabaffd2079a00cf7eb8f | MATLAB | 20,490 | 558 | function VO = spm_write_sn(V,prm,flags,extras)
% Write out warped images
% FORMAT VO = spm_write_sn(V,prm,flags,msk)
% V - Images to transform (filenames or volume structure).
% prm - Transformation information (filename or structure).
% flags - flags structure, with fields...
% interp - i... |
e65e75ce25b336003353ca30a6341377dc4ef7d658dfd4cdb9542279e56ed6b3 | MATLAB | 20,524 | 412 | function [chanRefIdx, trialFRBoth_Grasp, trialFRBoth_Carry, trialFRGrasp, trialTargetBoth, trialTargetGrasp] = Behavioral_Comp(DataSqueeze,DataGT)
%Channel Indexing
restrictM1 = zeros(1,1280);
allM1 = [1:5:316 481:5:956 1121:5:1276];%[641:5:956 1121:5:1276];
restrictM1(allM1) = ones(1,192);%ones(1,96);
% Breakout imp... |
6e9764107a794e61f5654df4aa0f1c0eb9887e6053368c6dc25a1ff2136c24e9 | MATLAB | 20,640 | 720 | % GUI for manual labeling of seizure data
%
%Input is the output of the SzRecTime_processing.m script
%
%The purpose of this GUI is to enable allow for manual labeling of your
%data to compare to algorithm's performance.
% Note that this script is not designed to rewrite over previously scored
% data, but rather to ... |
5cd85427635a1031f20aaf2df6d1f269c59e16d7af70b3bd88b785b89084b55e | MATLAB | 20,670 | 490 | function PLOT_SPACE(Sim,Space,NUMERIC_SPACE,ANALYTIC_SPACE)
% plot function for asym- and z-spectra simulated using BATCH_simulation.m
% last change: 2014/04/03 by PS
assert( isstruct( Sim ), 'Simulation parameter Sim not set.');
assert( ~isempty( fieldnames(NUMERIC_SPACE) ) || ~isempty( fieldnames(ANALYTIC_SPACE) ), ... |
f9d6cb15f751e4f84c13bd0c99cd58db138359359565c4cc6e4a4a061c616212 | MATLAB | 20,689 | 766 | %Matlab code to segment, track and obtain metrics of motion and density for myocytes
clear;
nf=0;
%input video number for tracking and image parameters
prompt = {'Pixel width (microns):','Frame length (mins):','Number of first video:','Number of last video:','Filename suffix:','Position:'};
dlgtitle = 'Input';
di... |
eaa5c7681850a1f37f4b0eedbdcea03756a514105a93d6506c0b6e588cc1754a | MATLAB | 20,708 | 553 | function EEG = c_EEG_ReplaceEpochTimeSegment(EEG,varargin)
if nargin == 0
testfn();
return;
end
p = inputParser();
%p.addRequired('EEG',@isstruct);
p.addParameter('timespanToReplace',[],@(x) isnumeric(x) && length(x)==2); % in s
p.addParameter('prePostFitDurations', [], @(x) isvector(x) && (isempty(x) || len... |
4ced33e89fa2ee41bb84cd0b2c0171833bc4b74381df111283809a913c7d1ac4 | MATLAB | 20,711 | 767 | %Matlab code to segment, track and obtain metrics of motion and density for myocytes
clear;
nf=0;
%input video number for tracking and image parameters
prompt = {'Pixel width (microns):','Frame length (mins):','Number of first video:','Number of last video:','Filename suffix:','Position:'};
dlgtitle = 'Input';
di... |
b9086ecb9cb128eda882e1e12247d7a7bbb5fa635b47e164348a863dd27c2efe | MATLAB | 20,720 | 568 | % Script to plot Supplementary Figure 2, calculate statistics reported, and
% save data to Excel spreadsheets that are then imported into the Source
% Data file.
% Kit Longden 2023.
addpath ../Shared_functions/
% Set up main figure properties
% ------------------------
fig_h20 = figure(20);
set(fig_h20, 'color', 'w',... |
b7ba46b6ab41355e471f7c3460382e7ac0fcf8364ae007c8cbedf5856b3745ec | MATLAB | 20,761 | 481 | function out = plotScale(duration, text, varargin)
% Use this function to plot a rating scale on the stimulus presentation
% window. The scale is highly configurable in position, width, color and
% text, and can be either active (capturing a mouse response) or inactive
% (display only).
%
% Usage: out = plotScale(durat... |
bf172fbd4a2946f5e8fb092d9f216f098fb8db5d28e169048540c7eb200bbd64 | MATLAB | 20,800 | 568 | % Script: generates figures of pwoer traces as a functin of a desired freq.
% Runs perm testing stats of traces, using channels as observations.
% Generates also group matrices, using subj as observations (last cell).
clear all;close all;clc
addpath('/mnt/yassamri/iEEG/sandra/analysis_pipeline_final')
exp_type = ... |
864a32e94bda798d4ae554f0409bebb2309a19ba2b1a1a7209e4e5be6c2b4ebc | MATLAB | 20,805 | 449 | %% Preprocessing Pipeline
% This script should be run in sections. Functions/scripts with the SBJ##
% prefix can be run automatically, and all other sections should be
% manually editted for each dataset.
clear all; close all;
%% Check which root directory
if exist('/home/knight/hoycw/','dir');root_dir='/home/knight/h... |
954518905467adf9fc7c9fe1e3e56f33acf117cdde97952883f93d5fa455ed15 | MATLAB | 20,830 | 571 | function [table_u_r,spk_trace_aux,spk_trace_aux_full,sorting,cells_to_keep]=identify_waves_latestversion_6_f_forNpx(num_clus_discr,bin_size,dt_s,make_fig,spikes_data,chunk_ini,chunk_end)
sf=1/bin_size;
min_events=50;
dt_s=floor(dt_s*sf); %number of bins used to bin the data
%Generates sorting
sorting_ini=chunk_ini*fl... |
9d9c0f08a464a98e2edad2ad0a0391dcf914637f5f55e33fb97d91d5041947c9 | MATLAB | 20,833 | 294 |
function [laps_corr,singleCell_corr] = plfield_LAPScomparison(tracks_compared,number_of_laps)
% Marta Huelin_ 2019
% Assess place field stability between same track exposures or between
% different tracks. It does so both at population level and at single cell level.
% It looks at the correlation and difference (... |
a7a5ce5d67e267145e2bd64f02a095bd3e83244a6ef744461aff0086f80767f2 | MATLAB | 20,882 | 570 | function results = spm_preproc(varargin)
% Combined Segmentation and Spatial Normalisation
%
% FORMAT results = spm_preproc(V,opts)
% V - image to work with
% opts - options
% opts.tpm - n tissue probability images for each class
% opts.ngaus - number of Gaussians per class (n+1 classes)
% opts.warpreg ... |
1349cfb5b414fdd8346486d200ddae60ee299a03c9558365c23a669a7adfcc8f | MATLAB | 20,893 | 571 | function nvr_record_data(wavfid,nvrfid)
%
%
% This file is the meat and bones of the digital vocalization recording system.
% It will read in data from the specified channels at the specified SR, and will
% save that data to disk (wavfid)until either the stop button is pressed, or the
% total recording time exce... |
d41dfeb3e1b6729540f0e922d6d92003b62ffff37eb65ad77f93b7ccfe6b3db7 | MATLAB | 20,932 | 421 | function gap_linking_str = fun_graph_get_linker_ep2skl_th_rlx(vessel_image, vessel_mask, vessel_skl, ep_sub, ep_all_sub)
% fun_graph_get_linker_ep2skl use threshold relaxation and shortest path on
% designed metric to find a 3D line segment that connect the inut endpoint
% to a skeleton voxel in the nearby connected co... |
8ae258f6a077b556eb744d7194fa8b30d5556a669badb6f71b81a4d4f1806180 | MATLAB | 20,936 | 350 | function plot_cum_replay_periods(epoch,bayesian_control)
% Plots distribution of replay events over sleep periods for each track and protocol.
% Histogram is calculated as the sum of cummulative replay event times across tracks & each experiment (always within a protcol),
% and averaged (divided) by number of active ... |
3be92a1848e94d968d3c45284622adbde2b7672e84b99d33e5cd5b88a835ed10 | MATLAB | 20,954 | 355 | function plot_theta_cycles_vs_SWR_log2(bayesian_control,rest_option,time_chunk_size,time_window)
if ~isempty(bayesian_control)
load('X:\BendorLab\Drobo\Lab Members\Marta\Analysis\HIPP\Chapter 2\Raw_replay_analysis\extracted_time_periods_replay_excl.mat')
path = 'X:\BendorLab\Drobo\Lab Members\Marta\Analys... |
afeab34e36eb72df809f6cd38a0d129178b7736d940c251b4ab19c085e4b38ab | MATLAB | 20,972 | 657 | function output = inspect_map(img,gradechoinv,mask,kernel,options)
%inspect continuous mapping version
%assumes that the signal from each voxel is a weighted sum of
%contributions from a set of canonicial basis spectra
% REQUIRED INPUTS:
%
% img - either a single image, a cell of multiple images, or file path to a
%... |
747bcf7f070959e10c8363a6d33b85d80d2b9869e23baf617b9f6291c72d8a74 | MATLAB | 21,045 | 554 |
function [globalCBF, DVARS, FD, tSNR, tSD, CBF, adjCBF] = LOFT_CBFquantify(images, Mzero, FieldStrength, ASLType, FirstimageType, SubtractionOrder, SubtractionType, PLD, LabelTime, Slicetime, threshold, optionPCA, ASLscaling, M0scaling)
%%[globalCBF, DVARS, FD, tSNR, tSD, CBF, adjCBF] = LOFT_CBFquantify(images, Mzero,... |
3c5df6c3096ddf2ec9f3500c7aea644553d135c96e638138c590afccb78677be | MATLAB | 21,054 | 483 | % function MAP_fig_1_multi(mname,config)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% ################################################################# %% DESCRIPTION
% Script to analyse data for:
% Grieves et al. (2020)
% Quantification of firing rate map procedures
%
% This script
% NO... |
1157a9ccea284ea97115fde24e756421893778aaf2e0d90ee2da0da9e196073c | MATLAB | 21,106 | 533 | clc;clear;close all
root='..\';
addpath(genpath([root,'NeuralCorrelateEvidenceAcc']))
%% ------------------------------------------------------------------------
rootpath='..\dataset\Mice\result\Accumulator\spikes_subsample_postWheel_bestfiles\';
data_path='..\dataset\Mice\result\total_clusterArea_paper_results_kernel_... |
6c2ac14ae16ac39b7e40d9c455b3de5db02ffcdaf0f69c7cd958eb367af23b08 | MATLAB | 21,133 | 639 | function [cls,M1] = spm_preproc_write8(res,tc,bf,df,mrf,cleanup,bb,vx,odir)
% Write out VBM preprocessed data
% FORMAT [cls,M1] = spm_preproc_write8(res,tc,bf,df,mrf,cleanup,bb,vx,odir)
%__________________________________________________________________________
% Copyright (C) 2008-2016 Wellcome Trust Centre for Neuroi... |
87174cb2ca45fda7a5cdfd21245d984cfcb3ca7eb6206543e9199ecf185de204 | MATLAB | 21,139 | 635 | % plot cluster determined group bar plots
clear all;close all;clc
reg = 'NC'
% NC HC CA3 'OFC_FRO_TEMP' 'OFC_FRO_TEMP_significant' 'OFC_FRO_TEMP_CING_INS_EC_significant'
fn_ext = '_cue_responseiveyes'
baseline = [ '_cond_spec_prestim' fn_ext]
lock = 'response' % onset % response
exp_type ... |
06053ca32bcb35144496c5954c7bcdda6da885425584476b0995d543a48ca349 | MATLAB | 21,143 | 610 | function spm_eeg_cfc(S)
% Compute GLM for phase-amplitude and amplitude-amplitude coupling
% FORMAT spm_eeg_cfc(S)
%
% Xamp = independent variable to be explained:
% Xamp = B1*sin(Xphase) + B2*cos(Xphase) + B3*Xlowamp
%
% Additional regressors may be included
% - overall estimates of PAC & AMP are obtained from ... |
4c6acab2839c2ddeae4803e2243f40c3dfe8c84e4bb7fa68dd54b0aea7fe3c8a | MATLAB | 21,143 | 675 | function varargout = spikesort_iofxn(varargin);
%
% Function spikesort_iofxn()
%
% This function is the file input interpolator for the spike sorting package.
% It contains the file format specifications and interpreters for a variety of
% file formats. Any additional file formats should be specified here.
%
%... |
22c014be171e86e7948789a7f80775d813ddd25771f930e82fbe5884a7403060 | MATLAB | 21,157 | 369 | % The following is the code used for the periodicity analysis of SOX2-mKate2-GBM1 cells used in Fig 6. of Fu et al., 2023
clear all; close all; clc;
%% Preallocation of labels
Condition = {'BMP4','PROLIF'};
Protein = {'GFP','SOX2mKate2'};
% names for the labels on figures
Condition_name = {'Quiescent',... |
d38290399c12ae6b2eedfc9b5a80e1edf442fd2b4e7a39a37048756990008ea7 | MATLAB | 21,205 | 587 | % freq_ranges = [2.9 6] % low theta
% freq_name =[];
freq_ranges = [40 200];freq_name = 'g'
addpath('/mnt/yassamri/iEEG/sandra/analysis_pipeline_final')
% elecs
if strcmp('57', subj)
fro_chan_idx = [1 4:8 13 16:17 25:27 35 37 44 46:47 70:83 89 91 98 99 101 102 108 109 110 112];
MTL_chan_idx =... |
6a6180dea0b43a7fea92972b796afc8a5d212881c369fd5e6032b4e97a0aa3cd | MATLAB | 21,286 | 685 | % This code will get integrated into ComparePhenotype code, but
% right now I am running simulations, so want to make sure that
% code does not get an error introduced, and stop running half way through.
%
% makeFiguresForCompareArticle('WT',1001:1010,'koulakov')
% makeFiguresForCompareArticle('Isl2homozygous',1001:101... |
b0f0f52dee22ee0163f81cb6b00f3584f46fcf2fb2246327879ba369f3b3ec72 | MATLAB | 21,287 | 598 | function varargout = Raman_pre_processing(varargin)
% RAMAN_PRE_PROCESSING MATLAB code for Raman_pre_processing.fig
% RAMAN_PRE_PROCESSING, by itself, creates a new RAMAN_PRE_PROCESSING or raises the existing
% singleton*.
%
% H = RAMAN_PRE_PROCESSING returns the handle to a new RAMAN_PRE_PROCESSING or t... |
4fae65d6b795797b7d23c0b153ee1276250808d77980edcdcc8ce554d86392e7 | MATLAB | 21,297 | 659 | % Code for snippets of traveling wave as a function of time
clear all
close all
[big_table, waves] = get_big_table();
N_sh=100;
count=0;
load('C:\Users\xscogno\MATLAB\Flavio2\Waves\Semi final scripts\Final scripts\Outputs\locking_all_sessions_280821\locking_all_sessions.mat');
for w=8%1:length(waves)
row_w=wa... |
86c9f21204d6f3810527e165607dbea132dfd91a3d025cb6dc5c1802eea5f197 | MATLAB | 21,300 | 550 | function varargout = spm_jobman(varargin)
% Main interface for SPM Batch System
% This function provides a compatibility layer between SPM and matlabbatch.
%
% FORMAT spm_jobman('initcfg')
% Initialise jobs configuration and set MATLAB path accordingly.
%
% FORMAT spm_jobman('run',job[,input1,...inputN])
% FORMAT outpu... |
49850127523eb779ce1727481d9a409acd0cc57c23db5a32c32519cfae0609f5 | MATLAB | 21,305 | 610 | function PPI = spm_peb_ppi(varargin)
% Bold deconvolution to create physio- or psycho-physiologic interactions
% FORMAT PPI = spm_peb_ppi(SPMname,ppiflag,VOI,Uu,ppiname,showGraphics)
%
% SPM - Structure containing generic details about the analysis or
% the fully qualified filename of such a str... |
8ca12cb23c2e1da668138f95d71b32b2d4e6e7952d76234a25201d72b632acde | MATLAB | 21,335 | 502 | classdef Flies < handle
properties
id
nFly
nPt
fs
rBound
x
y
r
xH
yH
rH
curv
spk
spkSS
lightOn
states
model
end
methods
function [self] = Flies... |
c4971c60546d761b84a0e96a4d41e675e037792bdef12f37478032fde5c4c7c3 | MATLAB | 21,345 | 393 | %% Find spots close to Filaments and substructures
% By Thomas Murphy, UC Riverside
%
% Find spots close to multiple Filaments and subdivide by proximity to filament and
% substructures thereof (dendrite shaft/spine/spine terminal). Originally based on
% default Imaris script for finding spots within a speci... |
240067da960000a38142ef1aeeaa304863dee542687aa0fa8821739f331a8f89 | MATLAB | 21,352 | 421 | function gap_linking_str = fun_graph_get_linker_ep2skl_th_rlx(vessel_image, vessel_mask, vessel_skl, ep_sub, ep_all_sub)
% fun_graph_get_linker_ep2skl use threshold relaxation and shortest path on
% designed metric to find a 3D line segment that connect the inut endpoint
% to a skeleton voxel in the nearby connected... |
da104b2651a88af02a87d4da00eb343084e77440a57c65054c827d09f976d99a | MATLAB | 21,354 | 615 | classdef SortGui < handle
% 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>
% Copyright (c) 2022 The Board of Trustees of the Leland Stanford Junior ... |
c167134900f449bd7a8112a5cb3da58600922a4727416d37cf27387562a944a5 | MATLAB | 21,395 | 538 | classdef DensityBiased<handle
% AUTHORSHIP
% Primary Developer: Stephen Meehan <swmeehan@stanford.edu>
% Bioinformatics Lead: Wayne Moore <wmoore@stanford.edu>
% Copyright (c) 2022 The Board of Trustees of the Leland Stanford Junior University; Herzenberg Lab
% License: BSD 3 clause
properties(SetAcce... |
70d9d9840cf89d078e35bfa02b314f57be0144ddf5b8f2ab2fe127f804e92c38 | MATLAB | 21,419 | 581 | clc; clear all; close all;
theDir = 'C:\Users\kmfo8\Dropbox\Rutgers\Firestein Lab\Manuscript DRAFTS\2022 BDNF MEA paper\figures\data - GLU only\revision_newPlots\data\';%D:\kate_dropbox\Dropbox
figDir = 'C:\Users\kmfo8\Dropbox\Rutgers\Firestein Lab\Manuscript DRAFTS\2022 BDNF MEA paper\figures\data - GLU only\revis... |
cb42b9d1b51b942f98766047fb97ab850ab49e016530d74c5603f1b2fccc7549 | MATLAB | 21,546 | 721 | %% Figure S3
% this script rungs additional analysis required for the plots of figure
% S3.
%%
clear
ft_defaults
%% Subjects
% ID 18 missing because of LP at 50Hz
subjects = {'OSL13', 'OSL14', 'OSL17', 'OSL21', 'OSL24', 'OSL26', 'OSL27', 'OSL28', ...
'OSL29', 'OSL30', 'OSL31', 'OSL32', 'OSL34', 'OSL35', 'OSL36'... |
5d5b46acb7f31bf30f9089b525e2df1f9c26a0171e23ad34e7b75cb1445065b5 | MATLAB | 21,581 | 632 | function handles = plotSpread(varargin)
%PLOTSPREAD plots distributions of points by spreading them around the y-axis
%
% SYNOPSIS: handles = plotSpread(data, propertyName, propertyValue, ...)
% handles = plotSpread(ah, ...
% deprecated:
% handles = plotSpread(data,binWidth,spreadFcn,xName... |
005c5e9327c8bff9d23b0b16eff37ca0b3bbad9b4670e578d4512f87de7aca64 | MATLAB | 21,584 | 389 | classdef decoderClass
% Class for decoder operations
properties
numFold double = 20 % Number of folds for cross-validation
varExplained (1,:) double = 80 % Variance explained threshold
nIter double = 3 % Number of iterations
end
methods
function obj = decoderCla... |
64b66e7c8fe789cfbf60b8fdcaddb1d7564f08d8585ab960bf74a960c341bfd8 | MATLAB | 21,588 | 468 | %% Script that will run searchlight analysis and save results
%% User defined settings
split_on_sulcus = true;
remove_sulcus_pixels = true;
%% Load data
data = load_doppler_data('single_or_multiple', 'multiple');
% Spatial filter
data.dop = preprocess_data(data.dop,...
'spatial_filter', {'disk', 2, 0});
[y_pi... |
33c78e3d28566c5c8976c72802a8f10e649d9f69db9e0f7db36cc4876ad46f1d | MATLAB | 21,625 | 606 | %% Analyzing Neural Time Series Data
% Matlab code for Chapter 30
% Mike X Cohen
%
% This code accompanies the book, titled "Analyzing Neural Time Series Data"
% (MIT Press). Using the code without following the book may lead to confusion,
% incorrect data analyses, and misinterpretations of results.
% Mike X Cohen... |
57aa31922a3b82221b52e9f540ce1f7650849c1cf8b8425b994493b719ee9b1a | MATLAB | 21,675 | 499 | classdef Ising < BCFWObjective
% Ising BCFW interface for Ising models.
properties (Dependent)
% Flat vector interface for the BatchFW routine. The vectorization
% format is
% x = vertcat(vec(TN'), vec(TE')) = vectorizeNE(TN, TE)
x
end
properties
% vector... |
a07774e80b25b57ebed454812f26c1b33eb469f67728bf66e321658b8ba6324a | MATLAB | 21,676 | 499 | classdef Ising < BCFWObjective
% Ising BCFW interface for Ising models.
properties (Dependent)
% Flat vector interface for the BatchFW routine. The vectorization
% format is
% x = vertcat(vec(TN'), vec(TE')) = vectorizeNE(TN, TE)
x
end
properties
% vector... |
669e21d9e35a6a3aabd95d6d16502a63b7999767e739736ea85ae3e16b58c85e | MATLAB | 21,685 | 628 | function EEG = c_TMSEEG_Preprocess_AARATEPPipeline(varargin)
% c_TMSEEG_Preprocess_AARATEPPipeline - Preprocess raw TMS-EEG data
%
% Inputs:
% EEG: input dataset in EEGLab struct format, assumed to not yet have been epoched
% 'pulseEvent': string indicating event type marking each pulse
% 'outputDir': path to a... |
c1e2ff15e5cc1a149573b9223eb50fc160d14a164876989ef2c4c4b8389f3399 | MATLAB | 21,686 | 518 | function [D, montage] = spm_eeg_montage(S)
% Rereference EEG data to new reference channel(s)
% FORMAT [D, montage] = spm_eeg_montage(S)
%
% S - input structure
% fields of S:
% S.D - MEEG object or filename of M/EEG mat-file
% S.mode - 'write' (default) apply montage ... |
c5181c1bde1a6c93865ab1d33bc5d1840ea69d9bedb4f75944a2cb99191e2d30 | MATLAB | 21,706 | 677 | function [ob,m,mz] = Gocrf(k,fov,N,mdomswitch,dt,varargin)
%function [ob,m,mz] = Gocrf(k,fov,N,m0,mdomswitch,dt,varargin)
%
% Construct Gocrf object for fast optimal control large-tip-angle
% multidimensional (and parallel) MR RF pulse design. Used in
% conjunction with an optimization routine, this object can be
%... |
7befa941d2dfc3b1ca1ee18b54e20175eb6fb0048eba9599ef85488a55a4dc14 | MATLAB | 21,827 | 529 | function Header = spm_dicom_header(DicomFilename, DicomDictionary, Options)
% Read header information from a DICOM file
% FORMAT Header = spm_dicom_header(DicomFilename, DicomDictionary, Options)
% DicomFilename - DICOM filename
% DicomDictionary - DICOM dictionary (see spm_dicom_headers)
% Options - an (opti... |
8497415ebc8ff3c2e47722127a103a28a56c05b5924849f18a7279518b04665f | MATLAB | 21,833 | 662 | % Script to plot Supplementary Figure 1, calculate statistics reported, and
% save data to Excel spreadsheets that are then imported into the Source
% Data file.
% Kit Longden 2023.
addpath ../../src/Shared_functions/
% Figure properties
% -----------------
figh10 = figure(10);
set(figh10,'color','w','position',[100... |
4d7a8fe4bfc91aa51b5579e7c5b4d40bf46fd7955b25e1c98ed173bbd457260f | MATLAB | 21,895 | 649 | function [PEB,P] = spm_dcm_peb(P,M,field)
% Hierarchical (PEB) inversion of DCMs using BMR and VL
% FORMAT [PEB,DCM] = spm_dcm_peb(DCM,M,field)
% FORMAT [PEB,DCM] = spm_dcm_peb(DCM,X,field)
%
% DCM - {N [x M]} structure array of DCMs from N subjects
% ---------------------------------------------------------------... |
d31badd9192218d9c9462f1c8c9c986deab6762bbb047a1bdc48a5d91d615613 | MATLAB | 21,920 | 542 | %% indicate variables
tic
for iSubj = 1:4
clearvars -except iSubj
close all;
subj_list = {'39' '44' '57' '63' }
%subj_list = {'66' '84' '85' '87'}
subj = subj_list{iSubj}
% adjust theses
removeERP = 'yes';
cue_responsive = 'yes';
lock = 'onset'; % 'response... |
264471bb563defe9ff270c608e4b1dc929f17d1dbe60bea0ea214aef6e08c2e8 | MATLAB | 21,922 | 476 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% ################################################################# %% DESCRIPTION
% Script to analyse data for:
% Grieves et al. (2020)
% Quantification of firing rate map procedures
%
% This script
% NOTE: This script is dependent on graphtest... |
c2c795f03da1246c255bc9bbd9c1cb1fa9c9beb31c34a6c5580a597b504995ed | MATLAB | 22,012 | 666 | %% Principal Component Analysis on F-statistic obtained from sliding window ANOVA
%%
% Step 1: Load Data obtained from sliding window ANOVA
% Step 2: Extract MNI coordinates for active channels for later group-level analyses
% Step 3: Extract trials for task-active electrodes and concatenate along subjects
% Step... |
8e10f20d2d7d205ea2b4e493c6c694db8b2d0340bc902a31835c8f495ae40068 | MATLAB | 22,065 | 473 | function plot_heat_map(plot_type,pattern_type)
% analyses the distribution of proboscis contacts on the flower, relative to the pattern.
% It plots a heatmap of proboscis contacts and generates histograms of the
% contact distributions along the cardinal axes of the pattern,
% and in the outer and inner thirds ... |
cacbcd7ef17b358cdf85f9531ac30a0c4ad3ff9a513df9fd94d71983c287add8 | MATLAB | 22,072 | 497 | %% plotRawData_BDNF
clc; clear all; close all;
theDir = 'C:\Users\kmfo8\Dropbox\Rutgers\Firestein Lab\Manuscript DRAFTS\2022 BDNF MEA paper\figures\data - BDNF dose response\revision_0B25B50Bonly_newPlots\data\';%D:\kate_dropbox\Dropbox
figDir = 'C:\Users\kmfo8\Dropbox\Rutgers\Firestein Lab\Manuscript DRAFTS\202... |
8870781bffccbb1b8ac54fc77be16d80e78d7359f412a4d354ec30bb761dc37f | MATLAB | 22,103 | 392 | function raster_replay_times(state)
% Plot replay times as raster plot for all sessions
% Loads 'extracted_replay_plotting_info.mat'
% INPUT:
% track: being 1 - for 16 runs,2 - for short exposures,3 - for re-exposure to track 1, or 4 - for re-exposure to track2
% state: 'sleep' for plotting only SLEEP replay (... |
74b78a114d1625eaa5b15ee0a13d4456fbe845a15fea08dc9a91bcf6b1790fcd | MATLAB | 22,119 | 522 | classdef SuhModalSplitter < SuhSplitter
% 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>
% Copyright (c) 2022 The Board of Trustees of the Leland St... |
896458d08bc97b19cae1071d737ad0098f63c0f1e47f851cdd6524fce966cfc3 | MATLAB | 22,184 | 812 | close all;
clear;
load('U:\rg-yoshida\Yoshida_lab_shared_folder\Shared Data\Antonio\In vivo data\Babak\preliminary analysis\Space_bin\Space_bin_filt20binNew.mat')
load('U:\rg-yoshida\Yoshida_lab_shared_folder\Shared Data\Antonio\In vivo data\Babak\preliminary analysis\Space_bin\GLchc_epoch10.mat')
load('U:\rg-yoshi... |
37429ecdbe02f6ed9ba1fa4fff5701d666a6ee4b85cf13e82807a9c3c2cfbde7 | MATLAB | 22,222 | 610 | %% part 1 - concatenate data from excel
clc; clear all; close all;
overallFolder = 'C:\Users\kmfo8\Dropbox\Rutgers\Firestein Lab\Manuscript DRAFTS\2022 BDNF MEA paper\submission materials\3_Comms Biol\2_revision\from Srini\';
resultsFolder = [overallFolder,'results_10x\'];
load([resultsFolder,'excelData.mat']... |
50da42df31e99d935209b1670c251848b854b46d7b2237ca92c47f1f9046881a | MATLAB | 22,229 | 463 | classdef SuhMatch < handle
% SuhMatch.Run is a wrapper for run_HiD_match and run_QfTree. It
% preprocesses CSV input files to marshall the data and label arguments
% for both.
%
% The publication that introduces QfMatch is
% https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5818510/
%
% A publication that furt... |
c49132595f42d4f905e6aef5c299c75f7a331bacb8d734f7986383d84864fa47 | MATLAB | 22,242 | 451 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% ################################################################# %% DESCRIPTION
% Script to analyse data for:
% Grieves et al. (2020)
% Quantification of firing rate map procedures
%
% This script
% NOTE: This script is dependent on graphtest... |
0cfb9e625ed7dd44cd19fd5b614099ed0a69908ec4ef38f97e122849454b4e13 | MATLAB | 22,259 | 624 | function [EEG, misc] = c_TMSEEG_fitAndRemoveDecayArtifact(varargin)
p = inputParser();
p.addRequired('EEG', @isstruct);
p.addParameter('artifactTimespan', [], @c_isSpan);
p.addParameter('topoFitDuration', 10e-3, @isscalar); % in s (specify this or topoFitTimespan)
p.addParameter('topoFitTimespan', [], @c_isSpan); % in ... |
6c53ca16bd5f15ce459600f2cdac1785443c06a497ca5b1b4bad6d8beab25558 | MATLAB | 22,279 | 530 | % Some subjects' scale data are missing, so all the analyses regarding
% scales were listed here, with some MDD patients excluded.
% Written by Xiao Chen 220922
% Modified 230703
% To explore the correlations between subjective affect ratings and DC, FCs
% chenxiaophd@gmail.com
%% initialization
clear;clc;
data_dir =... |
44ce44ae18355ba662c5f52d9c203264eabc4475d9972081bacace57bd373014 | MATLAB | 22,310 | 571 | function WORMTRACK = head_and_tail_kalman5(WORMTRACK, pixpermm)
%head_and_tail_kalman.m This function tracks each endpoint of the spline
%independently with kalman filters.
head_movement_threshold = (100/112)*pixpermm;
origPlayer = vision.VideoPlayer('Position', [120, 160, 100, 100]);
[tracks,tracksThatLeft] = init... |
ed81735135e5c6f6cab9e4ae30690bfecf4044a4f48fef5a5c5897b2358afa6c | MATLAB | 22,344 | 534 | function rect = showStimuli(im, position, varargin)
% Displays previously loaded image(s) on the monitor.
%
% This function can be used in two different modes:
% Mode 1: second argument is a scalar/number that is linked to the
% previously defined "response keys" in the file myParadigmSetup.m
% This mode allows to pres... |
28cccf733e08ff5e1276a50cbcc41e143383202a272b571fe4c1f1df1d251fd6 | MATLAB | 22,473 | 557 | function [assembliesCells, matchIndexTimeSeries, matchIndexTimeSeriesSignificance, assembliesVectors, PCsRot,confSynchBinary]=FindAssemblies();
clear all
%%
%%%%%%% INPUT FILES
[filename,pathname] = uigetfile({'*_RASTER.mat';'*_RASTER.MAT'},'Open file with raster data', 'MultiSelect', 'off');
filenameRASTER=fullfile(pa... |
7444d5bf879f35f85d858ca965e9e26ca98df6e18f2857843478f9c9702d7a8a | MATLAB | 22,480 | 793 | % Code for snippets of traveling wave as a function of time
clear all
close all
[big_table, waves] = get_big_table();
N_sh=100;
count=0;
load('C:\Users\xscogno\MATLAB\Flavio2\Waves\Semi final scripts\Final scripts\Outputs\locking_all_sessions_280821\locking_all_sessions.mat');
for w=8%1:length(waves)
row_w=wa... |
ab5d94e6102da61a9c6745a430e236f5fa5fc7705acf81b7720037646cb79bbf | MATLAB | 22,561 | 658 | function varargout = showufmf(varargin)
% SHOWUFMF M-file for showufmf.fig
% SHOWUFMF, by itself, creates a new SHOWUFMF or raises the existing
% singleton*.
%
% H = SHOWUFMF returns the handle to a new SHOWUFMF or the handle to
% the existing singleton*.
%
% SHOWUFMF('CALLBACK',hObject,eventDa... |
6ed30b82b0b72f149cc98be554a8ff62f52b046f14ebb708723d70e8594cd6fb | MATLAB | 22,580 | 495 | function [xPoints, yPoints] = plotSpikeRaster(spikes,varargin)
% PLOTSPIKERASTER Create raster plot from binary spike data or spike times
% Efficiently creates raster plots with formatting support. Faster than
% common implementations. Multiple plot types and parameters available!
% Look at Parameters section... |
b206daf1908bd7b53c08bb7ebfdfc1538aaf6527c82f6cfb9df8e3c416984129 | MATLAB | 22,624 | 661 | %% Extract task informative electrodes
%%
% Step 1: Load Data and Electrode Files
% Step 2: Segment the data to all conditions (probe, button press, hit lower limit, button release)
% Step 3: Perform sliding window ANOVA
% Step 4: Find active electrodes that exceeded critical threshold
% Step 5: Extract Index and... |
22294af17b6f9f56722a3e27e4ee2856e5bae8976901bfef9d9b4550b34c7649 | MATLAB | 22,647 | 405 | clear all; close all; clc
format shortg
fn_ext = 'cue_resp'; %
phase = 'encoding'; %'encoding' 'retrieval'
lock = 'onset'; %'onset' 'response'
freq_range = 'deltatheta';
fpass_list = [4;5]';
reg1_name = 'TEMP'
reg2_name = 'HC';
subj_list = { '85' '87' };
% {'39' '44' '57' ... |
f4b0583ed8fd52fa631c3e10c18c85375a872a6a1105d39719f1708a6885b40e | MATLAB | 22,652 | 495 | function [bval]= GetBvalues(protocol)
%
% camino.m--------------------------------------------------------------
% Computes b-values
%
% [bval]= GetBvalues(protocol)
%
% Description: Returns an array of b values, one for each measurement defined
% in the list of measurements in the protocol.
%
% Paramaters:
% b - lis... |
6e7b0d2537d1aaa98db3420210bec3a9ae403418dff204657a5dd095a89f7a0e | MATLAB | 22,672 | 658 | %% Figure 4c
% this script rungs additional analysis required for the plots of figure
% 4c
%%
clear
ft_defaults
%% - SUBJECTS - %%
% ID 18 missing because of LP at 50Hz
subjects = {'OSL13', 'OSL14', 'OSL17', 'OSL21', 'OSL24', 'OSL26', 'OSL27', 'OSL28', ...
'OSL29', 'OSL30', 'OSL31', 'OSL32', 'OSL34', 'OSL35', ... |
4bf05ebd05ece7680dd4d38bd56a19c7f7a16eab8b88ab43cc2e7810a8281e5f | MATLAB | 22,738 | 417 | % description: script which will generate the null distribution for a given
% condition, subject, and region. Will shuffle the phase data of the sender
% region. Will save ch1 -> ch2, ch2 -> ch1, and normalized ch->ch2
clear all; close all; clc
format shortg
cond_nums = 1; % condition to generate null distribut
% enco... |
244d624451dbd1f705815e30ab0fae1b7562cf97323f3b09e3caa7add3956fc7 | MATLAB | 22,742 | 543 | function [rgb]=cmap(x, mapName, greyPerc, grayColor, grayFunction, greyPosition)
% [rgb]=cmap(x, mapName);
% [rgb]=cmap(mapName);
% [rgb]=cmap(x, mapName, greyExt, grayColor, grayFunction, greyPosition)
% TODO se il primo argomento di ingresso non ? una matrice numerica, scalare i successivi parametri in
% modo ... |
6857c4d89ec8e51196f29e2e4ac7f26d81d01e9f54b1e48bbc610e7531db441c | MATLAB | 22,746 | 490 | function [PSNR, y_est] = BM3D(y, z, sigma, profile, print_to_screen)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% BM3D is an algorithm for attenuation of additive white Gaussian noise from
% grayscale images. This algorithm reproduces the results from the article:
%
% [1] K. Dab... |
adf4da5779dcd48ac5af6479d33df5ffc507662e1fb5a6ad5bf60c3e96d101b0 | MATLAB | 22,781 | 476 | % Defines the class currentSourceViewer for visualization of EEG inverse solutions on a realistic head model.
% This class is part of MoBILAB software.
% For more details visit: https://code.google.com/p/mobilab/
%
% Author: Alejandro Ojeda, SCCN/INC/UCSD, Jan-2012
classdef currentSourceViewer < handle
properties... |
3e34426016ba1ddc1669808242e7c3eaeb671697bccb690fd82a73c85e8b6e3b | MATLAB | 22,833 | 599 | function D = spm_eeg_prep(S)
% Prepare converted M/EEG data for further analysis
% FORMAT D = spm_eeg_prep(S)
% S - configuration structure (optional)
% (optional) fields of S:
% S.D - MEEG object or filename of M/EEG mat-file
% S.task - action string. One of 'settype', 'default... |
62ac4b1d7f82df2ab43e516231ea84f0a4640edf9ee6223004088fba2c4fb14b | MATLAB | 22,860 | 644 | function varargout = spm_check_installation(action)
% Check SPM installation
% FORMAT spm_check_installation('basic')
% Perform a superficial check of SPM installation [default].
%
% FORMAT spm_check_installation('full')
% Perform an in-depth diagnostic of SPM installation.
%
% FORMAT rev = spm_check_installation('rev'... |
2cbb986c1b0b874b690880302f96deb563c786e6cd84125cb1ade834876c1e38 | MATLAB | 22,973 | 388 | function raster_replay_times_new(state)
% Plot replay times as raster plot for all sessions
% Loads 'extracted_replay_plotting_info.mat'
% INPUT:
% track: being 1 - for 16 runs,2 - for short exposures,3 - for re-exposure to track 1, or 4 - for re-exposure to track2
% state: 'sleep' for plotting only SLEEP replay (thus ... |
20abf0f0f8194ecbe1928410b8a25e5ebf3e391b6b6334cad73f608565d58b9a | MATLAB | 22,980 | 625 | function [MDP] = spm_MDP_VB(MDP,OPTIONS)
% active inference and learning using variational Bayes
% FORMAT [MDP] = spm_MDP_VB(MDP,OPTIONS)
%
% MDP.S(N,1) - true initial state
% MDP.V(T - 1,P) - P allowable policies (control sequences)
%
% MDP.A(O,N) - likelihood of O outcomes given N hidden states
% MDP... |
69cf5404f273221b55228cbed3db4c5ac5e84cc27e05b31985d0700bce26b808 | MATLAB | 23,135 | 625 | function varargout = SleepScoring_Manual_ver2(varargin)
%SLEEPSCORING_MANUAL_VER2 M-file for SleepScoring_Manual_ver2.fig
% SLEEPSCORING_MANUAL_VER2, by itself, creates a new SLEEPSCORING_MANUAL_VER2 or raises the existing
% singleton*.
%
% H = SLEEPSCORING_MANUAL_VER2 returns the handle to a new SLEEPSC... |
286a4c6c46657aa621e59e3b2943c621f1e6d76ff1c59ac53cabf00ec91781c9 | MATLAB | 23,210 | 811 | function R = Reg1(kappa, varargin)
%function R = Reg1(kappa, [options])
%|
%| Build roughness penalty regularization "object" based on Cdiff1() objects,
%| for regularized solutions to inverse problems.
%| This version supercedes Robject() by providing its capabilities while
%| also providing options that use less mem... |
e69699a4951cb1af65b05035b13a414c43826b78a3ea1b2fce5defcc00f9d2b3 | MATLAB | 23,225 | 701 | % clear all
% close all
% clc
%% indicate variables
subj = '39'
exp_type ='tuning_correct' % {'study_test' 'tuning' 'tuning_correct' 'tuning_incorrect' 'indoor_outdoor'}
freq_analysis = 'spectrogram'
% load info
cd (['/mnt/yassamri/Sandra/subj_' subj ])
if strcmp('spectrogram',freq_analysis)
load(['baseline_info... |
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