Nonlinear prediction of brain electrical activity in epilepsy with a Volterra RLS algorithm. - Christian Niederhöfer; S. Suna; Ronald Tetzlaff (ISCAS (3), 2002)

Feature extraction in epilepsy using a cellular neural network based device - first results. - Ronald Tetzlaff; Christian Niederhöfer; Philipp Fischer (ISCAS (3), 2003)

Cellular Neural Networks (CNN) with Linear Weight Functions for a Prediction of Epileptic Seizures. - Ronald Tetzlaff; Ronald Kunz; Christian Niederhöfer (Int. J. Neural Syst., 2003)

Prediction of brain electrical activity in epilepsy using a higher-dimensional prediction algorithm for discrete time cellular neural networks (DTCNN). - Frank Gollas; Christian Niederhöfer; Ronald Tetzlaff (ISCAS (5), 2004)

Recent results on the prediction of EEG signals in epilepsy by discrete-time cellular neural networks (DTCNN). - Christian Niederhöfer; Ronald Tetzlaff (ISCAS (5), 2005)

Detection of a preseizure state in epilepsy: signal prediction by maximally weakly nonlinear networks? - Christian Niederhöfer; Ronald Tetzlaff (ISCAS, 2006)

Automated detection of a preseizure state: non-linear EEG analysis in epilepsy by Cellular Nonlinear Networks and Volterra systems. - Ronald Tetzlaff; Christian Niederhöfer; Philipp Fischer (Int. J. Circuit Theory Appl., 2006)

Dynamics of EEG-signals in epilepsy: Spatio temporal analysis by Cellular Nonlinear Networks. - Christian Niederhöfer; Frank Gollas; Ronald Tetzlaff (ECCTD, 2007)

Toward an autonomous platform for spatio-temporal EEG-signal analysis based on cellular nonlinear networks. - Frank Gollas; Christian Niederhöfer; Ronald Tetzlaff (Int. J. Circuit Theory Appl., 2008)