- Conforming discretizations of boundary element solutions to the electroencephalography forward problem
- 40 Gop/s/mm2 fixed-point operators for Brain Computer Interface in 65 nm CMOS (accepted)
- A Calderon Regularized Symmetric Formulation for the Electroencephalography Forward Problem
- simBCI – A framework for studying BCI methods by simulated EEG
- A Feature Space for Brain-Computer Interfaces
- On a Surface Integral Equation to Handle Anisotropic Conductivities in the EEG forward problem
- Designing Guiding Systems for Brain-Computer Interfaces
- As above, so below? Towards understanding inverse models in BCI
- Implantation en virgule fixe d’un opérateur de calcul d’inverse à base de Newton-Raphson, sans normalisation et sans bloc mémoire
- Integral equation modelling of brain fibers for handling white matter anisotropies in the EEG forward problem
- A mixed discretized adjoint double layer formulation for the electroencephalography forward problem with high brain-skull contrast ratios.
- On the Hierarchical Preconditioning of the PMCHWT Integral Equation on Simply and Multiply Connected Geometries
- Two Volume Integral Equations for the Inhomogeneous and Anisotropic Forward Problem in Electroencephalography *
- A scaling-less Newton-Raphson pipelined implementation for a fixed-point reciprocal operator
- A scaling-less Newton-Raphson pipelined implementation for a fixed-point inverse square root operator
- Accélération matérielle pour l’imagerie cérébrale par EEG
- On the Handling of Brain Tissue Anisotropy in the Forward EEG Problem with a Conformingly Discretized Surface Integral Method
- On the Preconditioning of the Symmetric Formulation for the EEG Forward Problem by Leveraging on Calderon Formulas
- A Mixed Discretized Surface-Volume Integral Equation for Solving EEG Forward Problems with Inhomogeneous and Anisotropic Head Models
- A novel volume integral equation for solving the Electroencephalography forward problem
