About Entrez
Text Version
Entrez PubMed
Overview
Help |
FAQ
Tutorial
New/Noteworthy
E-Utilities
PubMed Services
Journals Database
MeSH Database
Single Citation Matcher
Batch Citation Matcher
Clinical Queries
LinkOut
Cubby
Related Resources
Order Documents
NLM Catalog
NLM Gateway
TOXNET
Consumer Health
Clinical Alerts
ClinicalTrials.gov
PubMed Central
|
|
MEA-Tools: an open source toolbox for the analysis of multi-electrode data with MATLAB.
Egert U, Knott T, Schwarz C, Nawrot M, Brandt A, Rotter S, Diesmann M.
Neurobiology
and Biophysics, Institute for Biology III, Albert-Ludwigs-University
Freiburg, Schanzlestr. 1, 79104 Freiburg, Germany.
egert@biologie.uni-freiburg.de
Recent advances in
electrophysiological techniques have created new tools for the
acquisition and storage of neuronal activity recorded simultaneously
with numerous electrodes. These techniques support the analysis of the
function as well as the structure of individual electrogenic cells in
the context of surrounding neuronal or cardiac network. Commercially
available tools for the analysis of such data, however, cannot be
easily adapted to newly emerging requirements for data analysis and
visualization, and cross compatibility between them is limited. In this
report we introduce a free open source toolbox called microelectrode
array tools (MEA-Tools) for the analysis of multi-electrode data based
on the common data analysis environment MATLAB (version 5.3-6.1, The
Mathworks, Natick, MA). The toolbox itself is platform independent. The
file interface currently supports files recorded with MCRack (Multi
Channel Systems, Reutlingen, Germany) under Microsoft Windows 95, 98,
NT, and 2000, but can be adapted to other data acquisition systems.
Functions are controlled via command line input and graphical user
interfaces, and support common requirements for the analysis of local
field potentials, extracellular spike activity, and continuous
recordings, in addition to supplementary data acquired by additional
instruments, e.g. intracellular amplifiers. Data may be processed as
continuous recordings or time windows triggered to some event.
PMID: 12084562 [PubMed - indexed for MEDLINE]
|