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

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

The Maximal Causes of Natural Scenes are Edge Filters.Expectation Truncation and the Benefits of Preselection in Training Generative Models.Binary Sparse Coding.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.
Karlsruhe, ??.09.2010

Guevara, Alvaro ; Conrad, Christian ; Mester, Rudolf: Grouping visual objects based on flow structureTalk 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.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.Learning of Lateral Connections for Representational Invariant Recognition.Receptive Field Self-Organization in a Model of the Fine-Structure in V1 Cortical Columns.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.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?