Skip to content

mortonne/aperture

master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 
 
 
 
 
spm
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Aperture

Aperture is a MATLAB-based toolbox for exploratory analysis of EEG data. It supports both univariate analysis and multivariate pattern analysis, and can process large amounts of data in parallel. It interfaces with R to provide advanced statistics, and includes advanced plotting functions and can generate PDF reports to help with exploratory analysis. See the Wiki for an introduction to using the various capabilities of the toolbox.

Aperture is built on a collection of functions for analyzing scalp EEG and ECoG data developed in the Computational Memory Lab at University of Pennsylvania. The project is currently maintained by the Polyn lab at Vanderbilt University. The toolbox was formerly known as eeg_ana or EEG Analysis Toolbox.

Installation

For a full installation, you must obtain some dependencies:

You may also edit init_aperture.m to change the expected paths if you have these dependencies installed somewhere else. Compatibility with the latest versions of these external packages has not been tested. If you run into issues, try using the versions of these dependencies that are available on the project's old Google Code site download page, in the external directory.

To install the package, simply download the package, add the main project directory to your path (e.g. addpath('my/path/to/aperture')) and type init_aperture to add the necessary directories to your path.

To use reporting functions that produce PDF reports, you must have LaTeX installed and have latex, pdflatex and dvipdf on your path.

Distributed computing options require the MATLAB Distributed Computing Toolbox.

Publications using Aperture

Morton, N. W, and Polyn, S. M. (2017) Beta-band activity represents the recent past during episodic encoding. NeuroImage, 147, 692-702.

Rose, N. S., LaRocque, J. J., Riggall, A. C., Gosseries, O., Starrett, M. J., Meyering, E. E., & Postle, B. R. (2016). Reactivation of latent working memories with transcranial magnetic stimulation. Science, 354(6316), 1136–1139. http://doi.org/10.1126/science.aah7011

Morton, N. W, Kahana, M. J., Rosenberg, E. A., Baltuch, G. H., Litt, B., Sharan, A. D., Sperling, M. R., and Polyn, S. M. (2013) Category-specific neural oscillations predict recall organization during memory search. Cerebral Cortex, 23(10), 2407-2422.

LaRocque, J. J., Lewis-Peacock, J. A., Drysdale, A. T., Oberauer, K., and Postle, B. R. (2012) Decoding attended information in short-term memory: An EEG study. Journal of Cognitive Neuroscience, 25(1), 127-142.

Authors

  • Neal Morton
  • Sean Polyn
  • Zachary Cohen
  • Matthew Mollison
  • Joshua McCluey

About

Matlab toolbox for univariate and multivariate analysis of EEG data in the time and frequency domains

Topics

Resources

License

LGPL-3.0, GPL-3.0 licenses found

Licenses found

LGPL-3.0
COPYING.LESSER
GPL-3.0
COPYING

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published