The neural decoding toolbox
Name
Meyers-2013-The neural decoding.pdf
Size
2.14 MB
Format
Adobe PDF
Checksum (MD5)
11b7088193e6bd5c290999d3a29e9585
Author(s)
Meyers, Ethan M.
Date Issued
April 2013
Journal
Frontiers in Neuroinformatics
Publisher
Frontiers Research Foundation
Citation
Meyers, Ethan M. “The Neural Decoding Toolbox.” Front. Neuroinform. 7 (2013).
Version
Final published version
Abstract
Population decoding is a powerful way to analyze neural data, however, currently only a small percentage of systems neuroscience researchers use this method. In order to increase the use of population decoding, we have created the Neural Decoding Toolbox (NDT) which is a Matlab package that makes it easy to apply population decoding analyses to neural activity. The design of the toolbox revolves around four abstract object classes which enables users to interchange particular modules in order to try different analyses while keeping the rest of the processing stream intact. The toolbox is capable of analyzing data from many different types of recording modalities, and we give examples of how it can be used to decode basic visual information from neural spiking activity and how it can be used to examine how invariant the activity of a neural population is to stimulus transformations. Overall this toolbox will make it much easier for neuroscientists to apply population decoding analyses to their data, which should help increase the pace of discovery in neuroscience.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
McGovern Institute for Brain Research at MIT
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3389/fninf.2013.00008
