| Paketname | python-openmeeg |
| Beschreibung | Python bindings for openmeeg library |
| Archiv/Repository | Offizielles Debian Archiv squeeze (main) |
| Version | 2.0.0.dfsg-2 |
| Sektion | python |
| Priorität | extra |
| Installierte Größe | 556 Byte |
| Hängt ab von | libatlas3gf-base, libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libmatio0, libopenmeeg1, libpython2.6 (>= |
| Empfohlene Pakete | |
| Paketbetreuer | NeuroDebian Team |
| Quelle | openmeeg |
| Paketgröße | 154166 Byte |
| Prüfsumme MD5 | 2f9e4d100655f26945bb820c8595b640 |
| Prüfsumme SHA1 | 9787658a717d8fb221588564495f5c69bcb9b649 |
| Prüfsumme SHA256 | 5349a53ea5bd704398544b3db5fd766d656141b7420c3ff05c15ae27cc14a5ef |
| Link zum Herunterladen | python-openmeeg_2.0.0.dfsg-2_i386.deb |
| Ausführliche Beschreibung | OpenMEEG provides state-of-the art tools for processing EEG and MEG
data.
.
The forward problem is implemented using the symmetric Boundary
Element method [Kybic et al, 2005], providing excellent accuracy,
particularly for superficial cortical sources. The source
localization procedures implemented in OpenMEEG are based on a
distributed source model, with three different types of
regularization: the Minimum Norm, and the L2 and L1
norms of the surface gradient of the sources [Adde et al, 2005].
.
This package provides Python bindings for OpenMEEG library.
|