2011
Conrad, Christian ; Guevara, Alvaro ; Mester, Rudolf (2011):
Learning multi-view correspondences from temporal coincidences 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) Colorado Springs, CO, USA, June 20-25, 2011.
Conrad, Christian ; Guevara, Alvaro ; Mester, Rudolf (2011):
T. Rare Events as a Powerful Cue for Finding Multi-View Correspondences. Swedish Symposium on Image Analysis, SSBA 2011, Linköping, March 2011.
Mester, Rudolf, Conrad, Christian ; Guevara, Alvaro: Multichannel Segmentation Using CR: Fast Super-Pixels and Temporal Propagation. Scandinavian Conference on Image Analysis, SCIA 2011, Ystad, May 2011 (Springer LNCS series).
Guevara, Alvaro ; Mester, Rudolf (2011): Kernels for Reconstructing Nonideally Sampled Nonbandlimited Signals. (IEEE Workshop on Statistical Signal Processing, Nice (F), 28-30 June 2011).
Guevara, Alvaro; Mester, Rudolf (2011): Wiener crosses borders: interpolation based on second order models .Electronic Imaging(IS&T/SPIE Electronic Imaging 2011 San Francisco, USA January 23 - 27, 2011).
2010
G. Puertas*, J. Bornschein*, J. Lücke (2010): The Maximal Causes of Natural Scenes are Edge Filters. Advances in Neural Information Processing Systems 23, 1939-1947, 2010. *joint first authorship
J. Lücke and J. Eggert (2010): Expectation Truncation and the Benefits of Preselection in Training Generative Models. Journal of Machine Learning Research 11:2855-2900, 2010.
M. Henniges, G. Puertas, J. Bornschein, J. Lücke (2010): Binary Sparse Coding. Proc. LVA/ICA 2010, LNCS 6365, 450-457.
C. Keck and J. Lücke (2010): Learning of Lateral Connections for Representational Invariant Recognition. Proc. ICANN 2010, LNVS 6354, 21-30.
Guevara, Alvaro ; Wolenski, Peter: Convergence results for a self-dual regularization of convex problems. Talk or presentation: 10th International Conference on Parametric Optimization and Related Topics (paraoptX) 2010, Karlsruher Institut für Technologie,
Karlsruhe, ??.09.2010
Guevara, Alvaro ; Conrad, Christian ; Mester, Rudolf: Grouping visual objects based on flow structure. Talk or presentation: poster presentation at Bernstein Conference on Computational Neuroscience (BCCN) 2010, Berlin Institute of Technology, Berlin, 27.09.2010
Conrad, Christian ; Guevara, Alvaro ; Mester, Rudolf: Learning Temporal Coincidences. Talk or presentation: poster presentation at Bernstein Conference on Computational Neuroscience (BCCN) 2010, Berlin Institute of Technology, Berlin, 27.09.2010
Mester, Rudolf ; Guevara, Alvaro ; Conrad, Christian ; Friedrich, Holger: Learning visual motion and structure as latent explanations from huge motion data sets. Talk or presentation: poster presentation at Bernstein Conference on Computational Neuroscience (BCCN) 2010, Berlin Institute of Technology, Berlin, 27.09.2010
Guevara, Alvaro ; Mester, Rudolf: Minimum Variance Image Interpolation from Noisy and Aliased Samples. Proc. SSIAI (IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), Austin, Texas, USA May 23-25, 2010).
Guevara, Alvaro ; Mester, Rudolf: Optimal reconstruction from samples for continuous and discrete signals: an statistical approach. Talk or presentation: Poster presentation at DAGStat 2010, Technische Universität Dortmund, Germany, Dortmund, 24.03.2010
Guevara, Alvaro ; Mester, Rudolf: Signal Reconstriction from Noisy, Aliased, and Nonideal Samples: What Linear MMSE Approaches Can Achieve. (2010 European Signal Processing Conference EUSIPCO-2010), Aalborg, Denmark August 23-27, 2010).
2009
J. Jitsev and C. von der Malsburg (2009): Experience-driven formation of parts-based representations in a model of layered visual memory. Front. Comp. Neurosci. 3:15 frontiersin.org/computationalneuroscience/paper/10.3389/neuro.10/015.2009
Weisswange, TH., Rothkopf, CA., Rodemann T. and Triesch, J. (2009): Can reinforcement learning explain the development of causal inference in multisensory integration? In IEEE 8th International Conference on Development and Learning. doi: 10.1109/DEVLRN.2009.5175531.
Weisswange, TH., Rothkopf, CA., Rodemann T. and Triesch, J. (2009): Reinforcement learning model develops causal inference and cue integration abilities. In Proceedings of the Bernstein Conference on Computational Neuroscience 2009. doi: 10.3389/conf.neuro.10.2009.14.151
C. Keck, J. D. Bouecke, and J. Lücke (2009): Learning of Lateral Connections for Representational Invariant Recognition. Frontiers in Compuational Neuroscience, Proc. BCCN (online access).
J. Lücke (2009): Receptive Field Self-Organization in a Model of the Fine-Structure in V1 Cortical Columns. Neural Computation, 21(10):2805-2845.
J. Lücke, R. Turner, M. Sahani, and M. Henniges (2009). Occlusive Components Analysis. Advances in Neural Information Processing Systems 22, 1069-1077. (in Kollaboration mit Richard Turner und Maneesh Sahani, University College London, UK)
C. Weber & J. Triesch (2009): Implementations and Implications of Foveated Vision. Recent Patents on Computer Science, 2(1), 75-85.
D. Pamplona, C. Weber and J. Triesch (2009): Foveation with Optimized Receptive Fields. Abstract, Bernstein Conference on Computational Neuroscience (BCCN)
G. Tushev, M. Liu, D. Pamplona, J. Bornschein, C. Weber, J. Triesch (2009): Foveated Vision with FPGA Camera. Live Demonstration, Bernstein Conference on Computational Neuroscience (BCCN)
Bornschein, J. and Lucke, J. (2009): Applications of Non-linear Component Extraction to Spectrogram Representations of Auditory DataFrontiers in Computational Neuroscience. Conference Abstract: Bernstein Conference on Computational Neuroscience. doi: 10.3389/conf.neuro.10.2009.14.115 (FIAS) (in Zusammenarbeit mit P4)
Quan Wang, Jochen Triesch (2009): An explanation of the familiarity-to-novelty-shift in infant habituation. Abstract, Bernstein Conference on Computational Neuroscience (BCCN).
Markus Bingmer, Julia Schiemann, Jochen Roeper, Gaby Schneider: A model for the joint evaluation of burstiness and regularity in oscillatory spike trains. Abstract, CNS 2009.
Felipe Gerhard, Julia Schiemann, Jochen Roeper, Gaby Schneider: A simple Hidden Markov Model for midbrain dopaminergic neurons. Abstract, CNS 2009.
Markus Bingmer, Julia Schiemann, Jochen Roeper, Gaby Schneider: Decribing regular and bursty firing paterns in neuronal data. Abstract, Stochastik-Tage Leipzig, 2009.
C. Möller, N. Arai, J. Lücke, and U. Ziemann (2009): Hysteresis Effects on the Input-Output Curve of Motor Evoked Potentials. Clinical Neurophysiology 120(5):1003--1008.
C. von der Malsburg (2010) Coordination: What is it and why do we need it? In: Dynamic Coordination in the Brain: From Neurons to Mind, edited by C. von der Malsburg, W. A. Phillips, and W. Singer. 2010. Strüngmann Forum Report, vol. 5. Cambridge, MA: MIT Press. (Durchführung des ESF vom 16. - 21.08.2009)