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Dr. Thomas Navin Lal

Raum Nummer: 217

 

Bild von Lal, Thomas Navin, Dr.

Thomas Navin Lal

Position: Wissenschaftler  Abteilung: 

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Bücher (1):

Lal TN: Machine Learning Methods for Brain-Computer Interfaces, 100, Logos Verlag, Berlin, Germany, (2005). ISBN: 978-3-8325-1048-0, Series: MPI Series in Biological Cybernetics ; 12

Artikel (4):

Hinterberger T, Widmann G, Lal TN, Hill J, Tangermann M, Rosenstiel W, Schölkopf B, Elger CE und Birbaumer N (August-2008) Voluntary brain regulation and communication with electrocorticogram signals Epilepsy and Behavior 13(2) 300-306.
Hill NJ, Lal TN, Schröder M, Hinterberger T, Wilhelm B, Nijboer F, Mochty U, Widman G, Elger CE, Schölkopf B, Kübler A und Birbaumer N (Juni-2006) Classifying EEG and ECoG Signals without Subject Training for Fast BCI Implementation: Comparison of Non-Paralysed and Completely Paralysed Subjects IEEE Transactions on Neural Systems and Rehabilitation Engineering 14(2) 183-186.
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Schröder M, Lal TN, Hinterberger T, Bogdan M, Hill J, Birbaumer N, Rosenstiel W und Schölkopf B (November-2005) Robust EEG Channel Selection across Subjects for Brain-Computer Interfaces EURASIP Journal on Applied Signal Processing 2005(19) 3103-3112.
Lal TN, Schröder M, Hinterberger T, Weston J, Bogdan M, Birbaumer N und Schölkopf B (Juni-2004) Support Vector Channel Selection in BCI IEEE Transactions on Biomedical Engineering 51(6) 1003-1010.

Beiträge zu Tagungsbänden (12):

Hill NJ, Lal TN, Schröder M, Hinterberger T, Widmann G, Elger CE, Schölkopf B und Birbaumer N (September-2006) Classifying Event-Related Desynchronization in EEG, ECoG and MEG Signals In: Pattern Recognition, , 28th Annual Symposium of the German Association for Pattern Recognition (DAGM 2006), Springer, Berlin, Germany, 404-413, Series: Lecture Notes in Computer Science ; 54174.
Farquhar J, Hill NJ, Lal TN und Schölkopf B (September-2006) Regularised CSP for Sensor Selection in BCI, 3rd International Brain-Computer Interface Workshop and Training Course 2006, Verlag der Technischen Universität Graz, Graz, Austria, 14-15.
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Hill NJ, Farquhar J, Lal TN und Schölkopf B (September-2006) Time-Dependent Demixing of Task-Relevant EEG Signals, 3rd International Brain-Computer Interface Workshop and Training Course 2006, Verlag der Technischen Universität Graz, Graz, Austria, 20-21.
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Lal TN, Schröder M, Hill J, Preissl H, Hinterberger T, Mellinger J, Bogdan M, Rosenstiel W, Hofmann T, Birbaumer N und Schölkopf B (August-2005) A Brain Computer Interface with Online Feedback based on Magnetoencephalography, 22nd International Conference on Machine Learning (ICML 2005), ACM Press, New York, NY, USA, 465-472.
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Hill NJ, Lal TN, Bierig K, Birbaumer N und Schölkopf B (Juli-2005) An Auditory Paradigm for Brain-Computer Interfaces In: Advances in Neural Information Processing Systems 17, , Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 569-576.
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Lal TN, Hinterberger T, Widman G, Schröder M, Hill J, Rosenstiel W, Elger CE, Schölkopf B und Birbaumer N (Juli-2005) Methods Towards Invasive Human Brain Computer Interfaces In: Advances in Neural Information Processing Systems 17, , Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 737-744.
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Hill J, Lal TN, Bierig K, Birbaumer N und Schölkopf B (Dezember-2004) Attentional Modulation of Auditory Event-Related Potentials in a Brain-Computer Interface, IEEE International Workshop on Biomedical Circuits and Systems (BioCAS 2004), IEEE Operations Center, Piscataway, NJ, USA, 1-4.
Hein H, Lal TN und Bousquet O (September-2004) Hilbertian Metrics on Probability Measures and their Application in SVM's In: Pattern Recognition, , 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Springer, Berlin, Germany, 270-277, Series: Lecture Notes in Computer Science ; 3175.
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Zhou D, Bousquet O, Lal TN, Weston J und Schölkopf B (Juni-2004) Learning with Local and Global Consistency In: Advances in Neural Information Processing Systems 16, , Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 321-328.
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Frontzek T, Lal TN und Eckmiller R (August-2001) Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector Machines In: Artificial neural networks - ICANN 2001, , International Conference on Artificial Neural Networks, Springer, Berlin, Germany, 390-398, Series: Lecture Notes in Computer Science ; 2130.
Frontzek T, Lal TN und Eckmiller R (August-2001) Towards Learning Path Planning for Solving Complex Robot Tasks In: Artificial neural networks - ICANN 2001, , International Conference on Artificial Neural Networks, Springer, Berlin, Germany, 943-950, Series: Lecture Notes in Computer Science ; 2130.
Frontzek T, Lal TN und Eckmiller R (Juli-2001) Predicting the Nonlinear Dynamics of Biological Neurons using Support Vector Machines with Different Kernels, 2001 International Joint Conference on Neural Networks (IJCNN '01), IEEE Service Center, Piscataway, NJ, USA, 1492-1497.
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Beiträge zu Büchern (4):

Hinterberger T, Nijboer F, Kübler A, Matuz T, Furdea A, Mochty U, Jordan M, Lal TN, Hill J, Mellinger J, Bensch M, Tangermann M, Widman G, Elger CE, Rosenstiel W, Schölkopf B und Birbaumer N: Brain-Computer Interfaces for Communication in Paralysis: A Clinical Experimental Approach, 43-64. In: Toward Brain-Computer Interfacing, (Ed) G. Dornhege, MIT Press, Cambridge, MA, USA, (September-2007).
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Hill NJ, Lal TN, Tangermann M, Hinterberger T, Widman G, Elger CE, Schölkopf B und Birbaumer N: Classifying Event-Related Desynchronization in EEG, ECoG, and MEG Signals, 235-260. In: Toward Brain-Computer Interfacing, (Ed) G. Dornhege, MIT Press, Cambridge, MA, USA, (September-2007).
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Lal TN, Chapelle O und Schölkopf B: Combining a Filter Method with SVMs, 439-446. In: Feature Extraction: Foundations and Applications, (Ed) I. Guyon, Springer, Berlin, Germany, (2006).
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Lal TN, Chapelle O, Weston J und Elisseeff A: Embedded methods, 137-165. In: Feature Extraction: Foundations and Applications, (Ed) I. Guyon, Springer, Berlin, Germany, (2006).
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Technische Berichte (2):

Lal TN, Schröder M, Hinterberger T, Weston J, Bogdan M, Birbaumer N und Schölkopf B: Support Vector Channel Selection in BCI, 120, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (Dezember-2003).
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Zhou D, Bousquet O, Lal TN, Weston J und Schölkopf B: Learning with Local and Global Consistency, 112, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, (Juni-2003).

Poster (5):

Hill NJ, Schröder M, Lal TN und Schölkopf B (Juni-14-2005): Comparative evaluation of Independent Components Analysis algorithms for isolating target-relevant information in brain-signal classification, Third International Meeting on Brain–Computer Interface Technology (BCI 2005): Making a Difference, Rensselaerville, NY, USA.
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Hinterberger T, Wilhelm B, Veit R, Weiskopf N, Lal TN und Birbaumer N (Oktober-2004): Neural mechanisms underlying control of a Brain-Computer-Interface (BCI): Simultaneous recording of bold-response and EEG, 44th Annual Meeting of the Society for Psychophysiological Research, Santa Fe, NM, USA, Psychophysiology, 41(Supplement 1) S100.
Schröder M, Lal TN, Bogdan M und Schölkopf B (Februar-2004): EEG Channel Selection for Brain Computer Interface Systems Based on Support Vector Methods, 7th Tübingen Perception Conference (TWK 2004), Tübingen, Germany.
Hill NJ, Lal TN, Schröder M, Hinterberger T, Birbaumer N und Schölkopf B (Februar-2004): Selective Attention to Auditory Stimuli: A Brain-Computer Interface Paradigm, 7th Tübingen Perception Conference (TWK 2004), Tübingen, Germany.
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Frontzek T, Gutzen C, Lal TN, Heinzel H-G, Eckmiller R und Böhm H (August-2001): Modeling the Dynamics of Individual Neurons of the Stomatogastric Networks with Support Vector Machines, 6th International Congress of Neuroethology (ICN 2001), Bonn, Germany.

Abschlussarbeiten (2):

Lal TN: Machine Learning Methods for Brain-Computer Interfaces, Technische Universität Darmstadt, (2005). PhD thesis
Lal TN: Support Vector Machines: Theorie und Anwendung auf Prädiktion epileptischer Anfälle auf der Basis von EEG-Daten, Institut für Angewandte Mathematik, Universität Bonn, (2001). Diplom thesis
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Vorträge (2):

Hill NJ, Bensch M, Bogdan M, Lal TN, Rosenstiel W, Schölkopf B und Schröder M (Juni-16-2005) Abstract Talk: Machine-Learning Approaches to BCI in Tübingen, Third International Meeting on Brain–Computer Interface Technology (BCI 2005): Making a Difference, Rensselaerville, NY, USA.
Birbaumer N, Widmann G, Elger C, Schröder M, Hinterberger T, Lal TN, Schölkopf B, Tatagiba M und Freudenstein D (Februar-18-2005) Abstract Talk: Invasive and Non-Invasive Brain-Computer-Interfaces for Communication in Locked-In Syndrome, 6th Meeting of the German Neuroscience Society, 30th Göttingen Neurobiology Conference, Göttingen, Germany 239.

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Last updated: Montag, 22.05.2017