• 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)

    Download

  • 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 Modi ed 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
    Classi cation 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 classi fication 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