Nikos Logothetis, Ph.D. Director, Physiology of Cognitive Processes Director, Max Planck Institute for Biological Cybernetics Tübingen, Germany Studying Large-Scale Brain Networks:

Source URL: vision-research.vanderbilt.edu

Image Reconstruction by Linear Programming Koji Tsuda∗† and Gunnar R¨atsch∗‡ Max Planck Institute for Biological Cybernetics Spemannstr. 38, 72076 T¨ubingen, Germany † AIST CBRC, 2-43 Aomi, Koto-ku, Tokyo, 13

Source URL: papers.nips.cc

¨ biologische Kybernetik Max–Planck–Institut fur Max Planck Institute for Biological Cybernetics Technical Report No. TR-149

Source URL: www.cs.cmu.edu

FREQUENCY DOMAIN SYSTEM IDENTIFICATION OF A LIGHT HELICOPTER IN HOVER a ¨ Stefano Geluardia,b , Frank M. Nieuwenhuizena , Lorenzo Pollinib and Heinrich H. Bulthoff a Max Planck Institute for Biological Cybernetics, T¨

Source URL: www.mycopter.eu

Computed Torque Control with Nonparametric Regression Models Duy Nguyen-Tuong, Matthias Seeger, Jan Peters Max Planck Institute for Biological Cybernetics, Spemannstraße 38, 72076 T¨ubingen Abstract— Computed torque

Source URL: www.ias.tu-darmstadt.de

Evaluation of Haptic Shared Control and a Highway-in-the-Sky Display for Personal Aerial Vehicles F. M. Nieuwenhuizen,∗ Max Planck Institute for Biological Cybernetics, T¨ ubingen, Germany

Source URL: www.mycopter.eu

Incremental Online Sparsification for Model Learning in Real-time Robot Control Duy Nguyen-Tuong and Jan Peters Max Planck Institute for Biological Cybernetics, Spemannstraße 38, 72076 T¨ ubingen

Source URL: www.ias.tu-darmstadt.de

Introduction to Statistical Learning Theory Olivier Bousquet1 , St´ephane Boucheron2 , and G´abor Lugosi3 1 Max-Planck Institute for Biological Cybernetics Spemannstr. 38, DT¨

Source URL: 84.89.132.1

Low-dimensional models of neural population activity in sensory cortical circuits Evan Archer1,2 , Urs K¨oster3 , Jonathan Pillow4 , Jakob H. Macke1,2 1 Max Planck Institute for Biological Cybernetics, T¨ubingen

Source URL: www.mackelab.org

Low-dimensional models of neural population activity in sensory cortical circuits Evan Archer1,2 , Urs K¨oster3 , Jonathan Pillow4 , Jakob H. Macke1,2 1 Max Planck Institute for Biological Cybernetics, T¨ubingen

Source URL: www.kyb.tuebingen.mpg.de

• Nervous system
• Neuroscience
• Computational neuroscience
• Biology
• Neural coding
• Spike-triggered average
• Receptive field
• Spike-triggered covariance
• Neural decoding
• Linear-nonlinear-Poisson cascade model