Prof. Dr. Martin Bogdan «

Universität Leipzig
Fakultät für Mathematik und Informatik
Abteilung Neuromorphe Informationsverarbeitung
Augustusplatz 10, Raum P 531
04109 Leipzig

Postanschrift: Postfach 10 09 20, 04009 Leipzig

Telefon: +49 (341) 97-32208
Telefax: +49 (341) 97-32252

E-Mail: bogdan@informatik.uni-leipzig.de

Sprechstunde: Im Forschungssemestr SS 2024 nur nach vorheriger Vereinbarung.

Werdegang

1987 – 1993 Nachrichtentechnik mit Schwerpunkt Übertragungstechnik an der Fachhochschule Offenburg
1991 – 1993 Informatique Industrielle et Instrumentation an der Université Grenoble I Joseph Fourier
Juni 1998 Promotion an der Universität Tübingen, Fakultät für Informatik: Signalverarbeitung biologischer Nervensignale zur Steuerung einer Prothese mit Hilfe künstlicher neuronaler Netze
November 1993 – März 2001 Wissenschaftlicher Mitarbeiter am Arbeitsbereich Technische Informatik der Universität Tübingen
4/1995 – 8/2007 Studienberater und Mitglied des Diplomprüfungsausschusses Fakultät für Informatik, Universität Tübingen
12/1999 – 12/2001 Frauenbeauftragter der Fakultät für Informatik, Universität Tübingen
6/2000 – 3/2015 Leiter des NeuroTeam an der Universität Tübingen
April 2001 – September 2005 Wissenschaftlicher Assistent am Arbeitsbereich Technische Informatik der Universität Tübingen
Wintersemester 2005/06 bis Wintersemester 2007/08 Vertretung der Professur für Technische Informatik an der Universität Leipzig
04/2008 – 05/2020 Professor für Technische Informatik an der Universität Leipzig
Seit 06/2020 Professor für Neuromorphe Infomationsverarbeitung an der Universität Leipzig

Forschungsinteressen

Neuromorphe Informationsverarbeitung
Künstliche neuronale Netze
Maschinelles Lernen
Angewandte Signalverarbeitung und Datenanalyse in der Medizin und Biologie
Eingebettete System für bioanaloge Informationsverarbeitung
Echtzeitsignalverarbeitung
Datenanalyse und Merkmalserkennung
Signalverarbeitung und Datenanalyse in der Industrie
Mainframe

Publikationen

M. Kukushkin, M. Bogdan, T. Schmid
On optimizing morphological neural networks for hyperspectral image classification | LINK
International Conference on Machine Vision (ICMV-2023), 15-18. Nov, Yerevan, Armenien, 2023
F. Erichsmeier, M. Kukushkin, J. Fiedler, M. Enders, S. Goertz, M. Bogdan, T. Schmid, R. Kaschuba
Automating the purity analysis of oilseed rape through usage of hyperspectral imaging | LINK
Proc. SPIE 12879, Photonic Technologies in Plant and Agricultural Science, 128790E, 2024
M. Kukushkin, M. Bogdan, T. Schmid
BiCAE – A Bimodal Convolutional Autoencoder for Seed Purity Testing | LINK
AAAI-2024: Workshop on AI to Accelerate Science and Engineering, 22-25 Feb., Vancouver, Kanada, 2024
M. Kukushkin, M. Enders, R. Kaschuba, M. Bogdan, T. Schmid
Canola seed or not? Autoencoder-based Anomaly Detection in Agricultural Seed Production | LINK
Kolloquium Landwirtschaft der Zukunft (KoLaZ-2023), 26-29 Sep., Berlin, Deutschland, 2023
Martin Bogdan
Is Boredom an Indicator on the way to Singularity of Artificial Intelligence? Hypotheses as Thought-Provoking Impulse | LINK
ESANN 2023 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, October 2023, ISBN 978-2-87587-088-9
Oliver Kirsten, Martin Bogdan, Sophie Adama
Evaluating the DoC-Forest tool for Classifying the State of Consciousness in a Completely Locked-In Syndrome Patient | LINK
7th International Conference on Imaging, Signal Processing and Communications (ICISPC), 2023.
Sophie Adama, Martin Bogdan
Assessing consciousness in patients with disorders of consciousness using soft-clustering | LINK
Brain Informatics, 2023, 10, 16.
Sophie Adama, Martin Bogdan
Sleep analysis in a CLIS patient using soft-clustering: a case study | LINK
European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2023.
Sophie Adama, Martin Bogdan
Application of Soft-Clustering to Assess Consciousness in a CLIS Patient | LINK
Brain Sci. 2023, 13, 65.
Clemens Fritzsch, Jörn Hoffmann, Martin Bogdan
Evolving Hardware by Direct Bitstream Manipulation of a Modern FPGA | LINK
2022 IEEE Congress on Evolutionary Computation (CEC)

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Martin Bogdan
Learning algorithms for spiking neural networks: should one use learning algorithms from ANN/DL or neurological plausible learning? – A thought-provoking impulse. | LINK
XLIII Jornadas de Automática: libro de actas, pp.201-207
Jörn Hoffmann, Clemens Fritzsch, Martin Bogdan
CoBEA: Framework for Evolving Hardware by Direct Manipulation of FPGA Bitstreams | LINK
Genetic and Evolutionary Computation Conference Companion (GECCO ’22 Companion)

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V. S. Adama, S.-J. Wu, N. Nicolaou, M. Bogdan
Extendable Hybrid approach to detect consciousness states in a CLIS patient using machine learning | LINK
Simulation Notes Europe SNE 32(1), 2022, 37-45
Sophie Adama, Martin Bogdan
Yes/No Classification of EEG data from CLIS patients | LINK
43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021.
Jalal Alizadeh, Martin Bogdan, Joseph Classen, Christopher Fricke
Support Vector Machine Classifiers Show High Generalizability in Automatic Fall Detection in Older Adults | LINK
Sensors 2021, 21, 7166
C. Fricke, J. Alizadeh, N. Zakhary, T.B. Woost, M. Bogdan, J. Classen
Evaluation of three machine learning algorithms for the automatic classification of EMG patterns in gait disorders | LINK
Frontiers in Neurology 12, 733, 2021
S.-J. Wu, N. Nicolaou, M. Bogdan
Consciousness Detection in a Complete Locked-in Syndrome Patient through Multiscale Approach Analysis | LINK
Entropy 22(12):1411, 2020
Sophie Adama, Ujwal Chaudhary, Niels Birbaumer, Martin Bogdan
Longitudinal Analysis of the Connectivity and Complexity of Complete Locked-in Syndrome Patients Electroencephalographic signal | LINK
Proceedings of the 2020 IEEE International Conference on Bioinformatics and Biomedicine, pp. 958-962, 2020.
G. Zarubin, C. Gundlach, V. Nikulin, A. Villringer, M. Bogdan
Transient amplitude modulation of alpha-band oscillations by short-time intermittent closed-loop tACS | LINK
Frontiers in Human Neuroscience, Vol. 14, 2020
S.-J. Wu, M. Bogdan
Application of Sample Entropy to analyze Consciousness in CLIS patients | LINK
Sensor Networks and Signal Processing. Smart Innovation, Systems and Technologies, Vol. 176. Springer, pp.521-531, 2020
V. S. Adama, M. Bogdan
Consciousness Detection in Complete Locked-in State Patients using Electroencephalogram Coherency and Artificial Neural Networks | LINK
Sensor Networks and Signal Processing. Smart Innovation, Systems and Technologies, vol 176, p. 397-409, 2020. Springer Nature.
V. S. Adama, A. Blankenburg, C. Ernst, R. Kummer, S. Murugaboopathy, M. Bogdan
Motion Detection in Videos of Coherence Matrices in order to detect Consciousness States in CLIS-patients– an Approach
10th EUROSIM Congress, Logroño, Spain, 2019
Josef Feigl, Martin Bogdan
Neural networks for personalized item rankings | LINK
Neurocomputing,ISSN 0925-2312, 2019
Josef Feigl, Martin Bogdan
Improved Personalized Rankings Using Implicit Feedback
ICANN 2018, Proceedings of 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, pp 372-381, 2018
G. Zarubin, C. Gundlach, V. Nikulin, M. Bogdan
Real-time Phase Detection for EEG-based tACS Closed-loop System | LINK
6th International Congress on Neurotechnology, Electronics and Informatics, NEUROTECHNIX 2018
T. Schmid, D. Günzel, M. Bogdan
Automated Quantification of the Resistance of Epithelial Cell Layers from an Impedance Spectrum | LINK
Proceedings of the Tenth International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies, pp. 8-13, 2018
Josef Feigl, Martin Bogdan
Neural Networks for Implicit Feedback Datasets
ESANN 2018
V. S. Adama, M. Bogdan
Stroke Rehabilitation and Parkinson’s Disease Tremor Reduction Using BCIs Combined With FES | LINK
International Journal of Privacy and Health Information Management 6(1), 2018
Clemens Fritzsch, Jörn Hoffmann, Martin Bogdan
Separated Random Number Generators for Virtual Machines
47. Jahrestagung der Gesellschaft für Informatik e.V. (GI), 2017
Karim Ellaithy, Martin Bogdan
Enhancements on the Modied Stochastic Synaptic Model: The Functional Heterogeneity
ICANN 2017
Carina Walter, Wolfgang Rosenstiel, Martin Bogdan, Peter Gerjets, Martin Spüler
Online EEG-Based Workload Adaptation of an Arithmetic Learning Environment | LINK
Frontiers in Human Neuroscience, 2017
Josef Feigl, Martin Bogdan
Collaborative Filtering with Neural Networks
ESANN 2017
V. S. Adama, J. Hoffman, M. Bogdan
Coupling Brain-Computer Interface and Electrical Stimulation for stroke rehabilitation and tremor reduction in Parkinson’s disease | LINK
The 13rd International Multidisciplinary Modelling and Simulation Multiconference (I3M), 2016
Martin Bogdan, Adam Kolany, Ulrike Weber, Romy Elze, Miroslaw Wrobel
Computer Aided Multispectral Ultrasound Diagnostics Brain Health Monitoring System Based on Acoustocerebrography | LINK
MEDICO, 2016
Jörn Hoffmann, Dirk Zeckzer, Martin Bogdan
Using FPGAs to Accelerate Myers Bit-Vector Algorithm | LINK
MEDICO 2016
Martin Spüler, Florian Grimm, Alireza Gharbaghi, Martin Bogdan, Wolfgang Rosenstiel
Prediction of Auditory and Visual P300 Brain-Computer Interface Aptitude
Advances in Neurotechnology, Electronics and Informatics, Biosystems & Biorobotics 12, 2016
T. Schmid, D. Günzel, M. Bogdan
Automated Quantification of the Capacitance of Epithelial Cell Layers from an Impedance Spectrum | LINK
Proceedings of the Seventh International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies, pp. 27-32, 2015
Markus Dobler, Manuel Harrant, Monica Rafaila, Georg Pelz, Wolfgang Rosenstiel, Martin Bogdan
Bordersearch: An Adaptive Identification of Failure Regions | LINK
Design, Automation and Test in Europe, 2015
A. Ramos-Murguialday, E. Garcia-Cossio, A. Walter, C. Woosang, D. Broetz, M. Bogdan, L. G. Cohen, N. Birbaumer
Decoding upper limb residual muscle activity in severe chronic stroke | LINK
Annals of Clinical and Translational Neurology 2(1), pp 1-11, 2014
P. Gerjets, C. Walter, W. Rosenstiel, M. Bogdan, T. Zander
Cognitive state monitoring and the design of adaptive instruction in digital environments: lessons learned from cognitive workload assessment using a passive brain-computer interface approach | LINK
Frontiers in Neuroscience 8:385, 2014
M. Spüler, W. Rosenstiel, M. Bogdan
Predicting Wrist Movement Trajectory from Ipsilesional ECoG in Chronic Stroke Patients | LINK
Proceedings of 2nd International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX 2014) , pp 38-45, 2014
M. Spüler, C. Niethammer, W. Rosenstiel, M. Bogdan
Classication of error-related potentials in EEG during continuous feedback | LINK
Proceedings of the 6th International Brain-Computer Interface Conference 2014, Graz University of Technology Publishing House, 2014
C. Walter, P. Wolter, W. Rosenstiel, M. Bogdan, M. Spüler
Towards Cross-Subject Workload Prediction | LINK
Proceedings of the 6th International Brain-Computer Interface Conference 2014, Graz University of Technology Publishing House, 2014
J. I. Latorre, K. El Laithy, M. Bogdan, E. Jiménez
Development of a Petri Net Model for a Reconfigurable Intelligent System based on Experimental Data
Proceedings of the European Modeling and Simulation Symposium (EMSS), ISBN 978-88-97999-38-6, pp 608-612, 2014
M. Spüler, W. Rosenstiel, M. Bogdan
Using Coherence for Robust Online Brain-Computer Interface (BCI) Control | LINK
Nonlinear Dynamics of Electronic Systems, pp 363-370, 2014
Y. Mohamad, D.T. Hettich, E. Bolinger, N. Birbaumer, W. Rosenstiel, M. Bogdan, T. Matuz
Detection and Utilization of Emotional State for Disabled Users | LINK
Computers Helping People with Special Needs, Lecture Notes in Computer Science Vol. 8547, pp 248-255, 2014
J. Peter, W. Klingert, A. Königsrainer, W. Rosenstiel, M. Bogdan, M. Schenk
TICoMS – A modular and message-based framework for monitoring and control of medical devices
IEEE 27th International Symposium on Computer-Based Medical Systems (CBMS), 2014
J. Hoffmann, M. Bogdan
Cyfield-RISP: An OpenCL-generated processor for reconfigurable hardware | LINK
International Conference on High Performance Computing & Simulation (HPCS), 2014
M. Bogdan, D. Brugger, W. Rosenstiel, B. Speiser
Estimation of diffusion coefficients from voltammetric signals by support vector and gaussian process regression | LINK
Journal of Cheminformatics 6:30, 2014
A. Walter, G. Naros, M. Spüler, A. Gharabaghi, W. Rosenstiel, M. Bogdan
Decoding stimulation intensity from evoked ECoG activity | LINK
Neurocomputing 141, pp 46-53, 2014
M. Bensch, S. Martens, S. Halder, J. Hill, F. Nijboer, A. Ramos, N. Birbaumer, M. Bogdan, B. Kotchoubey, W. Rosenstiel, B. Schölkopf, A. Gharabaghi
Assessing attention and cognitive function in completely locked-in state with event-related brain potentials and epidural electrocorticography | LINK
Journal of Neural Engineering 11 026006, 2014
T. Schmid, D. Günzel, M. Bogdan
Automated Quantification of the Relation between Resistor-Capacitor Subcircuits from an Impedance Spectrum | LINK
Proceedings of the International Conference on Bio-inspired Systems and Signal Processing, pp. 141-148, 2014
A. Gharabaghi, D. Kraus, M. T. Leão, M. Spüler, A. Walter, M. Bogdan, W. Rosenstiel, G. Naros, U. Ziemann
Coupling brain-machine interfaces with cortical stimulation for brain-state dependent stimulation: enhancing motorcortex excitability for neurorehabilitation | LINK
Frontiers in Human Neuroscience 8:1-7, 2014
A. Gharabaghi, G. Naros, A. Walter, A. Roth, M. Bogdan, W. Rosenstiel, C. Mehring, N. Birbaumer
Epidural electrocorticography of phantom hand movement following long-term upper-limb amputation | LINK
Frontiers in Human Neuroscience 8, Article 285, 2014
K. El-Laithy, M. Bogdan
Synaptic energy drives the information processing mechanisms in spiking neural networks | LINK
Mathematical Biosciences and Engineering 11(2), 2014
W. Spruth, M. Bogdan
Enterprise Computing | LINK
Band 1, Leipzig, 2013
W. Spruth, M. Bogdan
Enterprise Computing | LINK
Band 2, Leipzig, 2013
W. Spruth, M. Bogdan
Enterprise Computing | LINK
Band 3, Leipzig, 2013
W. Lange, M. Bogdan
Entwurf und Synthese von Eingebetteten Systemen | LINK
Oldenbourg Verlag, ISBN 978-3-486-71840-9, eISBN 978-3-486-72109-6, 2013
A. Walter, G. Naros, M. Spüler, W. Rosenstiel, A. Gharabaghi, M. Bogdan
Dynamics of a Stimulation-evoked ECoG Potential During Stroke Rehabilitation – A Case Study
NEUROTECHNIX 2013 – International Congress on Neurotechnology, Electronics and Informatics, p.241-243, 2013
E. Tafaj, T. Kübler, G. Kasneci, W. Rosenstiel, M. Bogdan
Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception | LINK
Artificial Neural Networks and Machine Learning-ICANN 2013, Lecture Notes in Computer Science Vol. 8131, 2013
M. Spüler, W. Rosenstiel, M. Bogdan
Unsupervised Online Calibration of a c-VEP Brain-Computer Interface (BCI) | LINK
Artificial Neural Networks and Machine Learning-ICANN 2013, Lecture Notes in Computer Science Vol. 8131, p.224-231, 2013
C. Walter, S. Schmidt, W. Rosenstiel, P. Gerjets, M. Bogdan
Using Cross-Task Classification for Classifying Workload Levels in Complex Learning Tasks | LINK
Proceedings of the 5th IEEE Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII 2013), p.876-881, 2013
S. Halder, B.Varkuti, M. Bogdan, A. Kübler, W.Rosenstiel, R. Sitaram, N. Birbaumer
Prediction of brain-computerinterface aptitude from individual brain structure | LINK
Frontiers in Human Neuroscience, 2013
S. Halder, E. M. Hammer, S. C. Kleih, M. Bogdan, W. Rosenstiel, N. Birbaumer, A. Kübler
Prediction of Auditory and Visual P300 Brain-Computer Interface Aptitude | LINK
PLoS ONE, 2013
T. Schmid, M. Bogdan, D. Günzel
Discerning Apical and Basolateral Properties of HT-29/B6 and IPEC-J2 Cell Layers by Impedance Spectroscopy, Mathematical Modeling and Machine Learning | LINK
PLoS ONE 8(7): e62913, 2013
C. Walter, S. Schmidt, W. Rosenstiel, M. Bogdan,, P. Gerjets
Alpha- and theta frequencies as indicators for optimal cognitive load during learning
6th International Cognitive Load Theory Conference, 2013
S. Halder, C. A. Ruf, A. Furdea, E. Pasqualotto, D. De Massari, L. van der Heiden, M. Bogdan, W. Rosenstiel, N. Birbaumer, A. Kübler, T. Matuz
Prediction of P300 BCI Aptitude in Severe Motor Impairment | LINK
PLoS ONE 8(2): e53513, 2013
T. Schmid, D. Günzel, M. Bogdan
Efficient prediction of x-axis intercepts of discrete impedance spectra | LINK
Proceedings of the 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), p. 185-190, 2013
M. Spüler, W. Rosenstiel, M. Bogdan
Unsupervised BCI calibration as possibility for communication in CLIS patients? | LINK
Proceedings of the 5th International Brain-Computer Interface Meeting, 2013
A. Walter, G. Naros, M. Spüler, A. Gharabaghi, W. Rosenstiel, M. Bogdan
Decoding stimulation intensity from evoked ECoG activity using support vector regression | LINK
Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, p.321-326, 2013
M. Dobler, W. Rosenstiel, M. Bogdan, M. Rafaila, D. Hammerschmidt, G. Pelz
Rapid Design Space Exploration of a State-of-the-art PSI 5 Controller
Proceedings Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen (MBMV), 2013
Walter A., Ramos Murguialday A., Spüler M., Naros G., Leao M.T., Gharabaghi A., Rosenstiel W., Birbaumer N., Bogdan M.
Coupling BCI and cortical stimulation for brain-state-dependent stimulation: Methods for spectral estimation in the presence of stimulation after-effects | LINK
Frontiers in Neural Circuits
M. Spüler, W. Rosenstiel, M. Bogdan
Principal component based covariate shift adaption to reduce non-stationarity in a MEG-based brain-computer interface | LINK
EURASIP Journal on Advances in Signal Processing, 2012:129, 2012
M. Spüler, W. Rosenstiel, M. Bogdan
Online Adaptation of a c-VEP Brain-Computer Interface(BCI) Based on Error-Related Potentials and Unsupervised Learning | LINK
PLoS ONE, 7 (12), p.e51077, 2012
A. Walter, G. Naros, A. Roth, W. Rosenstiel, A. Gharabaghi, M. Bogdan
A brain-computer interface for chronic pain patients using epidural ECoG and visual feedback | LINK
IEEE 12th International Conference on BioInformatics and BioEngineering, 2012
A. Walter, A. Ramos Murguialday, M. Spüler, G. Naros, M. T. Leao, A. Gharabaghi, W. Rosenstiel, N. Birbaumer, M. Bogdan
Coupling BCI and cortical stimulation for brain-state-dependent stimulation: Methods for spectral estimation in the presence of stimulation after-effects | LINK
Frontiers in Neural Circuits, 2012
M. Spüler, W. Rosenstiel, M. Bogdan
Adaptive SVM-based classification increases performance of a MEG-based Brain-Computer Interface (BCI) | LINK
ICANN 2012, Part I, LNCS 7552, p.669-676, 2012
J. Hoffmann, F. Güttler, K. El-Laithy, M. Bogdan
Cyfield-RISP: Generating Dynamic Instruction Set Processors for Reconfigurable Hardware Using OpenCL | LINK
ICANN 2012, LNCS 7552, p.169-176, 2012
K. El-Laithy, M. Knor, J. Käs, M. Bogdan
Digital Detection and Analysis of Branching and Cell Contacts in Neural Cell Cultures | LINK
J Neurosci Methods., 210(2):206-19, 2012
C. Walter, A.-A. Pape, W. Rosenstiel, P. Gerjets, M. Bogdan
Detecting Working Memory Load from EEG-Data during learning and solving complex tasks
BBCI Workshop 2012 on Advances in Neurotechnology, 2012
C. Walter, G. Cierniak, W. Rosenstiel, M. Bogdan, T. O. Zander, P. Gerjets
Using Passive Brain-Computer Interfaces for cognitive workload assessment
48. Kongress der Deutschen Gesellschaft für Psychologie, 2012
C. Walter, P. Gerjets, W. Rosenstiel, M. Bogdan
Adaptive Learning Environments based on BCI Methodology
„Culture & Technology“ – 3rd European Summer School in Digital Humanities, Leipzig, Germany (Project Presentation), 2012
M. Spüler, W. Rosenstiel, M. Bogdan
Co-adaptivity in Unsupervised Adaptive Brain-Computer Interfacing: a Simulation Approach
The Fourth International Conference on Advanced Cognitive Technologies and Applications, p.115-121, 2012
M. Spüler, M. Bensch, S. Kleih, W. Rosenstiel, M. Bogdan, A. Kübler
Online use of error-related potentials in healthy users and people with severe motor impairment increases performance of a P300-BCI
Clinical Neurophysiology, 123 (7), p.1328–1337, 2012
M. Spüler, W. Rosenstiel, M. Bogdan
One Class SVM and Canonical Correlation Analysis increase performance in a c-VEP based Brain-Computer Interface (BCI)
Proceedings of 20th European Symposium on Artificial Neural Networks (ESANN), p.103-108, 2012
A. Furdea, C.A. Ruf, S. Halder, D. De Massari, M. Bogdan, W. Rosenstiel, T. Matuz, N. Birbaumer
A new (semantic) reflexive brain–computer interface: In search for a suitable classifier
Journal of Neuroscience Methods, Vol. 203, Issue 1, pp. 233–240, dx.doi.org/10.1016/j.jneumeth.2011.09.013, 2012
E. Tafaj, G. Kasneci, W. Rosenstiel, M. Bogdan
Bayesian Online Clustering of Eye-Tracking Data
Eye Tracking Research and Applications (ETRA), 2012
K. El-Laithy, M. Bogdan
A Reinforcement Learning Framework for Spiking Networks with Dynamic Synapses
Computational Intelligence and Neuroscience, vol. 2011, Article ID 869348, 12 pages, doi:10.1155/2011/869348, 2011
M. Spüler, W. Rosenstiel, M. Bogdan
A Fast Feature Selection Method for High-Dimensional MEG BCI Data
Proceedings of the 5th International Brain-Computer Interface Conference, pp. 24-27, 2011
S. Halder, M. Spüler, E. Hammer, S. Kleih, M. Bogdan, W. Rosenstiel, A. Kübler, N. Birbaumer
Prediction of Visual P300 BCI Aptitude Using Spectral Features
Proceedings of the 5th International Brain-Computer Interface Conference, p.144-147, 2011
G. Cierniak, P. Gerjets, C. Walter, M. Bogdan, W. Rosenstiel
Detecting Cognitive Load Levels by Means of Brain-Computer-Interface Methodology
14th Biennial Conference of the European Association for Research on Learning and Instruction (EARLI), 2011
A. G. Dieckgraeff, A. Lindner, W. Rosenstiel, M. Bogdan
Detection of Motor Planning and Suppression with the help of Electroencephalography
IEEE EMBC, 2011
E. Tafaj, T. Kübler, J. Peter, U. Schiefer, M. Bogdan, W. Rosenstiel
Vishnoo – An Open-Source Software for Vision Research
24th IEEE International Symposium on Computer-Based Medical Systems, 2011
K. El-Laithy, M. Bogdan
A Hypothetical Free Synaptic Energy Function and Related States of Synchrony
ICANN 2011, pp. 40-47, DOI: 10.1007/978-3-642-21738-8_6, 2011
K. El-Laithy, M. Bogdan
On the capacity of transient states of synchrony in liquid state machines
ICANN 2011, pp. 56-63, DOI: 10.1007/978-3-642-21738-8_8, 2011
K. El-Laithy, M. Bogdan
Synchrony State Generation: an Approach using Stochastic Synapses
Journal of Artificial Intelligence and Soft Computing Research (JAISCR), Vol. 1, No. 1, pp. 17-25, 2011
S. Halder, D. Agorastos, R. Veit, E.-M. Hammer, S. Lee, B. Varkuti, M. Bogdan, W. Rosenstiel, N. Birbaumer, A. Kübler
Neural mechanisms of brain-computer interface control
NeuroImage, Vol. 5, Issue 4, dx.doi.org/10.1016/j.neuroimage.2011.01.021, pp. 1779-1790, 2011
D. Brugger, S. Butovas, M. Bogdan, C. Schwarz
Real-time adaptive microstimulation increases reliability of electrically evoked cortical potentials
IEEE Transaction on Biomedical Engineering, Vol. 58, No. 5, pp. 1483-1491, 2011
C. Walter, G. Cierniak, P. Gerjets, W. Rosenstiel, M. Bogdan
Classifying mental states with machine learning algorithms using alpha activity decline
ESANN, pp. 405-410, 2011
S. Halder, D. Agorastos, R. Veit, E.-M. Hammer, S. Lee, B. Varkuti, M. Bogdan, W. Rosenstiel, N. Birbaumer, A. Kübler
Neural mechanisms of brain-computer interface control
NeuroImage, Vol. 5, Issue 4, dx.doi.org/10.1016/j.neuroimage.2011.01.021, pp. 1779-1790, 2011
E. Tafaj, J. Dietzsch, U. Schiefer, W. Rosenstiel, M. Bogdan
Reliable Classification of visual field defects in automated perimetry using clustering
8th IASTED/IEEE International Conference on Biomedical Engineering, pp. 446-451, 2011
E. Tafaj, P. Rumbolz, M. Bogdan, J. Wiedemann, W. Rosenstiel
Zukünftige Fahrzeuge adaptieren sich auf den Fahrer: Identifikation charakteristischer Verhaltensmerkmale von Fahrzeugführern unter demographischen Gesichtspunkten
Akzeptiert als GMM-Fachbericht zur Tagung Automotive meets Electronics, Dortmund, 2011
R. Qashi, M. Bogdan, K. Hänßgen
Case Study: The Effect of Variable Priority Parameters on the QoS of WLANs IEEE 802.11e EDCF
International Conference on Computer and Network Engineering ICCNE 2011
R. Qashi, M. Bogdan, K. Hänßgen
Evaluating the QoS of WLANs for the IEEE 802.11 EDCF in real-time applications
International Conference on Communications and Information Technology, ICCT, 2011
D. Brugger, W. Rosenstiel, M. Bogdan
Online SVR Training by Solving the Primal Optimization Problem
Journal of Signal Processing Systems, pp. 391-402, dx.doi.org/10.1007/s11265-010-0514-5, 2010
F. Güttler, W. Rabe, J. Hoffmann, R. Der, M. Bogdan
Transposing Simulated Self-Organizing Robots into Reality using the Plug&Learn Architecture
Proceedings of the Second International Conference on Neural Computation, INSTICC, Valencia, pp. 350-357, 2010
C. Walter, G. Cierniak, M. Bogdan, W. Rosenstiel, P. Gerjets
Load-Adaptive Tutor Systems Based on Brain-Computer Interfaces
The 4th International Cognitive Load Theory Conference, Macao, 2010
K. El-Laithy, M. Bogdan
A Hebbian-based reinforcement learning framework for spike-timing-dependent synapses
ICANN, Thessaloniki, LNCS vol. 6352, pp. 160-169, 2010
T. Schmid, D. Günzel, M. Bogdan
Using an artificial neural network to determine electrical properties of epithelia
ICANN, Thessaloniki, LNCS vol. 6352, pp. 211-216, 2010
J. Hoffmann, K. El-Laithy, F. Güttler, M. Bogdan
Simulating Biological-Inspired Spiking Neuronal Networks with OpenCL
ICANN, Thessaloniki, LNCS vol. 6352, pp. 184-187, 2010
K. El-Laithy, M. Bogdan
Predicting spike timing of a Thalamic neuron using a stochastic synapse
ESANN, Bruges, pp. 358-363, 2010
R. Qashi, M. Bogdan, K. Hänßgen
Performence analysis of WLANs for the IEEE 802.11 EDCF in real-time applications
Proceedings 4th International Academic Conference of Young Scientists „Computer Science and Engineering 2010“, CSE, 2010
M. Franke, M. Bogdan
Self Organized Real Time Control of an Anthropomorphic Hand using Nerve Signals
13th ISPO World Congress and ORTHOPAEDIE + REHA-TECHNIK 2010, Leipzig, 2010
A. Walter, A. Roth, G. Naros, W. Rosenstiel, N. Birbaumer, A. Gharabaghi, M. Bogdan
Application of a Video Feedback BCI for Phantom Pain – a Case Study
Fourth International BCI Meeting, Asilomar, 2010
S. Halder, D. Agorastos, R. Veit, E. Hammer, M. Bogdan, W. Rosenstiel, N. Birbaumer, A. Kübler
An fMRI Motor Task Comparison between good and bad SMR BCI Performers
Fourth International BCI Meeting, Asilomar, 2010
E. Tafaj, C. Uebber, J. Dietzsch, U. Schiefer, M. Bogdan, W. Rosenstiel
Mobile and fast detection of visual field defects for elderly drivers as a necessary input into driver assistance systems for mobility maintenance
GMM-Fachbericht Band 64, AmE 2010 – Automotive meets Electronics, pp. 47-52, 2010
E. Tafaj, C Uebber, J. Dietzsch, U. Schiefer, M. Bogdan, W. Rosenstiel
Introduction of a Portable Campimeter Based on a Laptop/Tablet PC
Proceedings of the 19th Imaging and Perimetry Society, Spain, March 2010
M. Franke, M. Bogdan
An Enhanced Kinematic model of the Human Thumb for an Artificial Hand
Proceedings of the Third International Conference on Biomedical Electronics and Devices, INSTICC, Valencia, pp. 206—210, 2010
K. El-Laithy, M. Bogdan
Synchrony State Generation in Artificial Neural Networks with Stochastic Synapses
ICANN 2009, Part I, LNCS 5768, pp. 181-190, 2009
A. Walter, M. Bensch, D. Brugger, W. Rosenstiel, N. Birbaumer, A. Gharabaghi, M. Bogdan
BCCI – a bidirectional cortical communication interface
Proceedings of the International Joint Conference on Computational Intelligence, IJCCI, pp. 440-445, 2009
D. Brugger, W. Rosenstiel, M. Bogdan
Online SVR Training by Solving the Primal Optimization Problem
Proceedings of the 2009 IEEE Signal Processing Society Workshop, 2009
M. Franke, M. Bogdan
A New Lightweight, Robust and Forceful Finger for an Artificial Limb | LINK
WORLD CONGRESS 2009 – MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING, pp. 339-342, 2009
D. Brugger, S. Butovas, M. Bogdan, C. Schwarz, W. Rosenstiel
Direct and inverse solution for a stimulus adaptation problem using SVR
ESANN 2008, Brugge, pp. 397-402, 2008
D. Brugger, W. Rosenstiel, M. Bogdan
Automatic Cluster Detection in Kohonen’s SOM
IEEE Transactions on Neural Networks, Vol. 19(3):442-459, 2008
E. Mugler, M. Bensch, S. Halder, W. Rosenstiel, M. Bogdan, N. Birbaumer, A. Kübler
Control of an Internet Browser Using the P300 Event Related Potential
International Journal of Bioelectromagnetism, 10(1):56-63, 2008
M. Bensch, J. Mellinger, M. Bogdan, W. Rosenstiel
A Multiclass BCI using MEG
Proc. 4th Int. Brain-Computer Interface Workshop, Graz, pp. 191-196, 2008
M. Jaumann, L. Rüttiger, M. Bogdan, M. Knipper
Correlation of local Field Potentials and Auditory Brainstem Responses (ABR)
Leopoldina Symposium: Molecular Medicine of Sensory Systems, Tübingen, 2008
M. Jaumann, L. Rüttiger, M. Bogdan, M. Knipper
Correlating Auditory Brainstem Responses (ABR) with Local Field Potentials using an Artificial Neural Network Approach
45th edition of the Inner Ear Biology Workshop, Ferrara, 2008
C. Budziszewski, M. Bogdan, A. Lindner
Spatiotemporal Classification Of Event Related fMRI Data To Decode Movement Intentions In Humans
NeNa2008 Tübingen, Ellwangen, 2008
M. Bensch, A.A. Karim, J. Mellinger, T. Hinterberger, M. Tangermann, M. Bogdan, W. Rosenstiel, N. Birbaumer
Nessi: An EEG controlled web browser for severely paralyzed patients
Computational Intelligence and Neuroscience, Volume 2007,
Article ID 71863, 5 pages, doi:10.1155/2007/71863, 2007
S. Halder, M. Bensch, J. Mellinger, M. Bogdan, A. Kübler, N. Birbaumer, W. Rosenstiel
Online Artifact Removal for Brain-Computer Interfaces Using Support Vector Machines and Blind Source Separation
Computational Intelligence and Neuroscience, DOI:10.1155/82069, Nr.82069, 10 pages, 2007
M. Bensch, D. Brugger, P. Baeuerle, W. Rosenstiel, M. Bogdan, W. Spruth
Self-Learning Prediciton System for Optimisation of Workload Managememt in a Mainframe Operating System
International Conference on Enterprise Information Systems, Funchal, 2007, p. 212-218
S. Waldert, M. Bensch, M. Bogdan, W. Rosenstiel, B. Schölkopf, C.L. Lowery, H. Eswaran, H. Preissl
Real-Time Fetal Heart Monitoring in Biomagnetic Measurements Using Adaptive Real-Time ICA
IEEE Transactions on Biomedical Engineering, Vol.54(10), p.1867-1874, 2007
M. Bensch, W. Rosenstiel, M. Bogdan
Phase Synchronisation in MEG for Brain-Computer Interfaces
Proc. of the 3rd Int. Brain-Computer Interface workshop, Graz, pp. 18-19, 2006
M. Bogdan, M. Bensch
Artificial neural networks and machine learning for man-machine-interfaces – processing of nervous signals
ESANN, Brugge, pp. 31-40, 2006
E. Sapozhnikova, M. Bogdan, B. Speiser, W. Rosenstiel
EChem++ – An Object-Oriented Problem Solving Environment for Electrochemistry. 3. Classification of voltammetric signals by the Fuzzy ARTMAP neural network with respect to reaction mechanisms
Journal of Electroanalytical Chemistry 588, pp. 15-26, 2006
T.Hermle, M. Bogdan, C. Schwarz, W. Rosenstiel
ANN-based System for Sorting Spike Waveforms Employing Refractory Periods
ICANN 2005, Warszawa, pp. 121-126, 2005
T. M. Lal, M. Schröder, N. J.Hill, H. Preissl, T. Hinterberger, J. Mellinger, M. Bogdan, W. Rosenstiel, T. Hoffmann, N. Birbaumer, B. Schölkopf
A Brain Computer Interface with Online Feedback based on Magnetoencephalography
Int. Conf. on Machine Learning ICML, pp. 465-472, Bonn, 2005
M. Bensch, M. Schröder, M. Bogdan, W. Rosenstiel
Feature Selection for High-Dimensional Indusrtial Data
ESANN, Brugge, pp. 375-380, 2005
M. Schröder, T. M. Lal, T. Hinterberger, M. Bogdan, N. J. Hill, N. Birbaumer, W. Rosenstiel, B. Schölkopf
Robust EEG Channel Selection Across Subjects for Brain Computer Interfaces
EURASIP Journal on Applied Signal Processing, Special Issue: Trends in Brain Computer Interfacesk Volume 2005, Issue 19, pp. 3103-3112, 2005.
T. Hermle, C. Schwarz, M. Bogdan
Employing ICA and SOM for spike sorting of multielectrode recordings from CNS
Journal of Physiology Paris 98(4-6), pp. 349-356, 2004
T. M. Lal, M. Schröder, T. Hinterberger, J. Weston, M. Bogdan, N. Birbaumer, B. Schölkopf
Support Vector Channel Selection in BCI
IEEE Trans. on Biomedical Engineering, Vol. 51, No. 6, pp. 1003-1010, 2004
D. Lettnin, A. Braun, M. Bogdan, J. Gerlach, W. Rosenstiel
Synthesis of SystemC Design: A Case Study of Digital Neural Networks
DATE 2004, Paris, pp. 248-253, 2004
M. Bogdan, M. Schröder, W. Rosenstiel
Towards the Restoration of Hand Grasp Function of Quadripledgic Patients based on an Artificial Neural Net Controller – an Approach
ESANN 2003, pp. 427-432, Brugge, 2003
M. Bogdan, M. Schröder, W. Rosenstiel
Artificial Neural Net Based Signal Processing for Interaction with Peripheral Nervous System
1st Int. IEEE EMBS Conf. on Neural Engineering, Capri, pp. 134-137, 2003
M. Schröder, M. Bogdan, W. Rosenstiel, T. Hinterberger, N. Birbaumer
Automated EEG Feature Selection for Brain Computer Interfaces
1st Int. IEEE EMBS Conf. on Neural Engineering, Capri, pp. 626-629, 2003
K. Ludwig, L. Rajendran, B. Speiser, J. Strutwolf, C. Autenrieth, M. Bogdan, T. Ewald, E. Sapozhnikova
EChem++ – An Object Oriented Approach to Computational Electrochemistry
203rd ECS Meeting, Paris, 2003
M. Schröder, M. Bogdan, W. Rosenstiel, T. Hinterberger, U. Strehl, N. Birbaumer
Online classification of EEG signals using artificial neural networks for biofeedback training of patients with epilepsy
9th International Workshop on Systems, Signals and Image Processing, Recent trends in Multimedia Information Processing, Manchester, World Scientific Press, pp. 438-446, 2002
M. Bogdan
Artificial Neural Net Based Controller Using Interfaces to the Peripheral Nervous System
IEEE Systems, Man and Cybernetics Conference 2001, Tucson, pp. 105-110, 2001
T. Hermle, M. Bogdan, C. Schwarz
Spike sorting algorithm based on independent components analysis (INCA) and a self-organizing map (SOM) minimizing user interaction – application to multineuron recordings in CNS
World Congress on Neuroinformatics, Vienna, pp. 366-377, 2001
M. Bogdan, W. Rosenstiel
Detection of Cluster in Self-Organizing Maps for Controlling a Prostheses using Nerve Signals
ESANN 2001, Brugge, pp. 131-136, 2001
M. Bogdan, M. Franke, W. Rosenstiel
Real Time Processing of Nerve Signals for Controlling an Artificial Hand
IASTED International Conference on Applied Informatics AI 2001, Innsbruck, pp. 137-142, 2001
M. Bogdan
Nervengesteuerte Prothese
Deutsches Ärzteblatt/PraxisComputer 5/2000
M. Bogdan, W. Rosenstiel
Self-Organized Real Time Controller for Limb Prostheses
IASTED International Conference on Control and Applications CA 2000, Cancun, ISBN 0-88986-288-5, pp. 217-222, 2000
M. Schröder, M.Bogdan, W. Rosenstiel
Restoration of Hand Function using Artificial Neural Net Controller
IASTED International Conference on Control and Applications CA 2000, Cancun, ISBN 0-88986-288-5, pp. 211-216, 2000
M.Bogdan, W. Rosenstiel
Application of Artificial Neural Networks for Different Engineering Problems
Lecture Notes in Computer Science 1725, 26th Annual Conference on Current Trends in Theory and Practice of Informatics SOFSEM’99, Milovy, pp. 277-294, 1999, Invited paper
M. Bogdan
Signalverarbeitung biologischer Nervensignale zur Steuerung einer Prothese mit Hilfe künstlicher neuronaler Netze
Dissertation, Cuvillier Verlag Göttingen, ISBN 3-89712-336-3, 1998
M. Bogdan, W. Rosenstiel
Real Time Processing of Nerve Signals for Controlling a Limb Prostheses
In Information Processing in Cells and Tissues, Edited by Mike Holcombe and Ray Paton, ISBN 0-306-45839-X, pp. 17-25, 1998
M. Bogdan, A.L. Cechin, S. Breit, W. Rosenstiel
Cultured Nerve Cell Networks as Biosensors using Artificial Neural Nets
Seizième Colloque sur le Traitement du Signal et des Images GRETSI’97, Grenoble, pp. 51-54, 1997
M. Bogdan, A. Harsch, G.W. Gross, W. Göpel, W. Rosenstiel
Processing of Nerve Cell Signal Recordings from Cultured Neural Networks using Artificial Neural Nets
Conf. IASTED Intelligence and Soft Computing, Banff, pp. 360-363, 1997
M. Bogdan, W. Rosenstiel
Real Time Processing of Nerve Signals for Controlling a Limb Prostheses
Conf. Information Processing in Cells and Tissues, Sheffield, 1997
M. Bogdan, H. Speckmann, W. Rosenstiel
Chips and Computers for Artificial Neural Nets
In Sensors Update, VCH, ISBN 3-527-29432-5, pp. 105-117, 1996
M. Bogdan, A. Babanine, J. Kaniecki, W. Rosenstiel
Nerve Signal Processing using Artificial Neural Nets
In Computation in Cellular and Molecular Biological Systems, World Scientific, ISBN 981-02-2878-3, pp .121-133, 1996
M. Bogdan, W. Rosenstiel
Intelligent Neural Interface – Signalprocessing of Nerve Signals using Artificial Neural Nets
BioNet`96, Berlin, GFaI Berlin, ISBN 3-00-001107-2, pp. 33-38, 1996, Invited paper
M. Bogdan, W. Rosenstiel
Classification of Nerve Signals using Kohonen`s Self-Organizing Map
1st International Conference on Bioelectromagnetism, Tampere, pp. 239-240, 1996
M. Bogdan, A. Babanine, J. Kaniecki, W. Rosenstiel
Nerve Signal Processing using Artificial Neural Nets
Conf. Information Processing in Cells and Tissues, Liverpool, pp. 55-68, 1995
M. Bogdan, H. Speckmann, W. Rosenstiel
KOBOLD – a neural coprocessor for backpropagation with online learning
Proc. of Fourth Int. Conf. on Microelectronics for Neural Networks and Fuzzy Systems, pp. 110-117, 1994
H. Speckmann, P. Thole, M. Bogdan, W. Rosenstiel
Coprocessors for special neural networks: KOKOS and KOBOLD
ICNN, Orlando, IEEE Service Center, pp. 1959-1962, 1994
M. Bogdan, W. Rosenstiel
Artificial Neural Nets for Peripheral Nervous System – remoted Limb Prostheses
Neural Networks & their Applications, Marseille, 1994
M. Bogdan, H. Speckmann, W.Rosenstiel
KOBOLD – a neural coprocessor for backpropagation with online learning
ICANN, Sorrento, pp. 293-202, 1994