<br><br><div class="gmail_quote">---------- Forwarded message ----------<br>From: <b class="gmail_sendername">Blaise Yvert</b> <span dir="ltr"><<a href="mailto:blaise.yvert@u-bordeaux1.fr">blaise.yvert@u-bordeaux1.fr</a>></span><br>
Date: Fri, Mar 11, 2011 at 1:23 AM<br>Subject: [mea-users] Neuromap software freely available<br>To: <a href="mailto:mea-users@yahoogroups.com">mea-users@yahoogroups.com</a><br><br><div style="background-color: rgb(255, 255, 255);">
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Dear colleagues, dear friends,<br>
<br>
We are pleased to announce the recent publication of the following
paper describing Neuromap, a matlab-based software that we make
available to the community under the GNU GPL license. Please, feel
free to download and use it !<br>
<br>
Abdoun O, Joucla S, Mazzocco C, Yvert B. (2011) <i>NeuroMap :
A spline-based interactive open-source software for spatiotemporal
mapping of 2D and 3D MEA data.</i> Frontiers in Neuroinformatics,
4:119. doi:10.3389/fninf.2010.00119.<br>
<br>
A major characteristic of neural networks is the complexity of their
organization at various spatial scales, from microscopic local
circuits to macroscopic brain-scale areas. Understanding how neural
information is processed thus entails the ability to study them at
multiple scales simultaneously. This is made possible using
microelectrodes array (MEA) technology. Indeed, high-density MEAs
provide large-scale coverage (several square millimeters) of whole
neural structures combined with microscopic resolution (about 50 μm)
of unit activity. Yet, current options for spatiotemporal
representation of MEA-collected data remain limited. Here we present
NeuroMap, a new interactive Matlab-based software for spatiotemporal
mapping of MEA data. NeuroMap uses thin plate spline interpolation,
which provides several assets with respect to conventional mapping
methods used currently. First, any MEA design can be considered,
including 2D or 3D, regular or irregular, arrangements of
electrodes. Second, spline interpolation allows the estimation of
activity across the tissue with local extrema not necessarily at
recording sites. Finally, this interpolation approach provides a
straightforward analytical estimation of the spatial Laplacian for
better current sources localization. In this software,
coregistration of 2D MEA data on the anatomy of the neural tissue is
made possible by fine matching of anatomical data with electrode
positions using rigid-deformation-based correction of anatomical
pictures. Overall, NeuroMap provides substantial material for
detailed spatiotemporal analysis of MEA data.The package is
distributed under GNU General Public License and available at <a href="http://sites" target="_blank">http://sites</a>.
<a href="http://google.com/site/neuromapsoftware" target="_blank">google.com/site/neuromapsoftware</a>.<br>
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Best wishes from Bordeaux,<br>
Blaise.<br>
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<pre cols="72">--
Research Director
CNRS and Université de Bordeaux UMR 5287
The Aquitaine Institute for Cognitive and Integrative Neuroscience (INCIA)
PI Team 4: Neurotechnology and Network Dynamics
Batiment Biologie Animale B2
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Tel. <a href="tel:%2B33%205%2040%2000%2025%2073" target="_blank">+33 5 40 00 25 73</a>
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<a href="http://services.incia.u-bordeaux1.fr/article.php3?id_article=161" target="_blank">http://services.incia.u-bordeaux1.fr/article.php3?id_article=161</a>
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</div><br><br clear="all"><br>-- <br>- Bryan<br><a href="http://heybryan.org/">http://heybryan.org/</a><br>1 512 203 0507<br>