LINK_

NEWS_

07.2010_ The 4th Semantic Robot Vision Challenge I'm helping to organize will take place at the AAAI in Atlanta

03.2010_ I'm giving a lecture on computational neuroscience at the Interdisciplinary College IK 2010 in Germany

11.2009_Recent results will be presented at the Computational Cognitive Neuroscience Conference in Boston

06.2009_I will give 2 talks about work I did with former colleagues of the European Honda Research Institute at the International Joint Conference on Neural Networks

PLEASE DROP ME A LINE FOR REPRINT REQUESTS!

NATURAL SCENES & VIDEO

Röhrbein, F., Coen Cagli, R., Schwartz, O. (2009). Analysis of Human Gaze-Selected Patches from Natural Image Sequences. Computational Cognitive Neuroscience Conference CCNC, Boston, MA.

Röhrbein, F., Zetzsche, C. (2002). The statistics of natural scenes and Weber’s law. In Würtz, P., Lappe, M. (Eds), 4. Workshop Dynamic Perception, Akademische Verlagsgesellschaft, Berlin: 233-238.

Zetzsche, C., Röhrbein, F. (2001). Nonlinear and extra-classical receptive field properties and the statistics of natural scenes. Network: Computation in Neural Systems, 12: 331-350.

Röhrbein, F., Zetzsche, C. (1998). Exploitation of natural image statistics by biological vision systems: 1/f2 power spectra and self-similar bandpass decompositions. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR-98, IEEE Computer Society, Los Alamitos, CA: 86-91.

CORTICAL COLUMN

Röhrbein , F., Eggert, J., Körner, E. (2008). Bayesian columnar networks for grounded cognitive systems. In B.C. Love, K. McRae, V.M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (CogSci), 1423-1428.

MULTISENSORY INTEGRATION

Meyer, G., Wuerger, S., Röhrbein, F., Zetzsche, C. (2005). Low-level integration of auditory and visual motion signals requires spatial co-localisation. Experimental Brain Research, 166(3-4): 538-547.

Hofbauer, M., Wuerger, S., Meyer, G., Röhrbein, F., Schill, K., Zetzsche, C. (2004). Catching audiovisual mice: Predicting the arrival time of auditory-visual motion signals. Cognitive, Affective and Behavioral Neuroscience, 4(2): 241-250.

Röhrbein, F., Zetzsche, C. (2000). Auditory-visual interactions and the covariance structure generated by relative movements in natural environments. In Guidati, G., Hunt, H., Heiss, A. (Eds), Proceedings of the Seventh International Congress on Sound and Vibration (ICSV), International Institute of Acoustics and Vibration, Kramer Technology Publishing: 2427-2434. EXTENDED VERSION OF A FIRST POSTER PRIZE ABSTRACT

HIGHER-LEVEL REPRESENTATIONS

Röhrbein, F., Eggert, J., Körner, E. (2009). Child-friendly divorcing: Incremental hierarchy learning in Bayesian Networks, Proceedings of International Joint Conference on Neural Networks (IJCNN), 2711-2716.

Riad, M., Röhrbein , F., Einecke, N., Eggert, J. (2009). Exploiting Spatial Relational Knowledge for Visual Cognitive. In N. Taatgen and H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society, 1535-1540.

Rebhan, S., Röhrbein , F., Eggert, J., Körner, E. (2008). Attention modulation using short- and long-term knowledge. In Gasteratos, A., Vincze, M., Tsotsos, J.K. (Eds), Proceedings of the 6th International Conference on Computer Vision Systems (ICVS), Lecture Notes in Computer Science 5008, Springer, Berin: 151-160. BEST PAPER AWARD

Röhrbein , F., Eggert, J., Körner, E. (2007). Prototypical relations for cortex-inspired semantic representations. Proceedings of the 8th International Conference on Cognitive Modeling (ICCM), Ann Arbor, U.S.A. 307-312.

Röhrbein , F., Eggert, J., Körner, E. (2007). A cortex-inspired neural-symbolic network for knowledge representation, Proceedings of the IJCAI Workshop on Neural-Symbolic Learning and Reasoning (NeSy). CEUR Workshop Proceedings.

MOTION STUDIES

Röhrbein, F., Schill, K., Baier, V., Stein, K., Zetzsche, C., Brauer, W. (2003). Motion shapes: Empirical studies and neural modeling. In Freksa, C., Brauer, W., Habel, C., Wender, K. (Eds), Spatial Cognition III - Routes and Navigation, Human Memory and Learning, Spatial Representation and Spatial Learning, Lecture Notes in Artificial Intelligence, vol. 2685, Springer, Berlin: 305-320.

Eisenkolb, A., Schill, K., Röhrbein, F., Baier, V., Musto, A., Brauer, W. (2000). Visual processing and representation of spatio-temporal patterns. In Freksa, C., Habel, C., Wender, K. (Eds), Spatial Cognition II - Integrating Abstract Theories, Empirical Studies, Formal Methods and Practical Applications, Lecture Notes in Artificial Intelligence, vol. 1849, Springer, Berlin: 145-156.