This paper describes duneuro, a software toolbox for forward modeling in neuroscience. Its purpose is to provide extendible and easy-to-use interfaces and enable a closer integration into existing analysis pipelines. It provides implementations of  fitted and unfitted finite element methods and makes use of the Dune framework. The forward problems consist of the electroencephalography (EEG) and magnetoencephalography(MEG) forward problems. For the incorporation into existing analysis pipelines,  Python and Matlab interfaces are provided. The practical use is demonstrated on a source analysis example of evoked potentials .
Accurate and efficient source analysis in electro- and magnetoencephalography using sophisticated realistic head geometries requires advanced numerical approaches. This paper presents DUNEuro, a free and open source C++ software toolbox for forward modeling in bioelectromagnetism. Building upon the DUNE framework, it provides implementations of modern fitted and unfitted finite element methods to efficiently solve the forward problems in electro- and magnetoencephalography. The user can choose between a variety of different source models that are implemented. The software's aim is to provide interfaces that are extendible and easy-to-use. In order to enable a closer integration into existing analysis pipelines, interfaces to Python and Matlab are provided. The practical use is demonstrated by a source analysis example of somatosensory evoked potentials using a realistic six compartment head model .
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This paper describes duneuro, a
Accurate and efficient source analysis in electro- and magnetoencephalography using sophisticated realistic head geometries requires advanced numerical approaches. This paper presents DUNEuro, a free and open source C++
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neuroscience. Its purpose is to provide extendible and easy-to-use interfaces and enable a closer integration into existing analysis pipelines. It
bioelectromagnetism. Building upon the DUNE framework, it
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modern
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and makes use of the Dune framework. The forward problems consist of the electroencephalography (EEG) and magnetoencephalography(MEG) forward problems. For the incorporation
to efficiently solve the forward problems in electro- and magnetoencephalography. The user can choose between a variety of different source models that are implemented. The software's aim is to provide interfaces that are extendible and easy-to-use. In order to enable a closer integration
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interfaces to
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interfaces
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on
by
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evoked potentials
somatosensory evoked potentials using a realistic six compartment head model