Robert A. Legenstein

Giacomo Indiveri, Bernabé Linares-Barranco, Robert A. Legenstein, George Deligeorgis, Themistoklis Prodromakis: Integration of nanoscale memristor synapses in neuromorphic computing architectures. CoRR abs/1302.7007 (2013)

Marco Baglietto, Lubica Benusková, Ivo Bukovsky, Tianping Chen, Tom Heskes, Kazushi Ikeda, Fakhri Karray, Rhee Man Kil, Robert A. Legenstein, Jinhu Lu, Yunqian Ma, Malik Magdon-Ismail, Michael G. Paulin, Robi Polikar, Danil V. Prokhorov, Marco Wiering, Vicente Zarzoso: Editorial: One Year as EiC, and Editorial-Board Changes at TNN. IEEE Transactions on Neural Networks 22(1): 1-7 (2011)

Lars Büsing, Benjamin Schrauwen, Robert A. Legenstein: Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons. Neural Computation 22(5): 1272-1311 (2010)

Robert A. Legenstein, Niko Wilbert, Laurenz Wiskott: Reinforcement Learning on Slow Features of High-Dimensional Input Streams. PLoS Computational Biology 6(8) (2010)

Michael Jahrer, Andreas Töscher, Robert A. Legenstein: Combining predictions for accurate recommender systems. KDD 2010: 693-702

Stefan Klampfl, Robert A. Legenstein, Wolfgang Maass: Spiking Neurons Can Learn to Solve Information Bottleneck Problems and Extract Independent Components. Neural Computation 21(4): 911-959 (2009)

Robert A. Legenstein, Steven M. Chase, Andrew B. Schwartz, Wolfgang Maass: Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning. NIPS 2009: 1105-1113

Robert A. Legenstein, Wolfgang Maass: On the Classification Capability of Sign-Constrained Perceptrons. Neural Computation 20(1): 288-309 (2008)

Robert A. Legenstein, Dejan Pecevski, Wolfgang Maass: A Learning Theory for Reward-Modulated Spike-Timing-Dependent Plasticity with Application to Biofeedback. PLoS Computational Biology 4(10) (2008)

Benjamin Schrauwen, Lars Buesing, Robert A. Legenstein: On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing. NIPS 2008: 1425-1432

Robert A. Legenstein, Wolfgang Maass: Edge of chaos and prediction of computational performance for neural circuit models. Neural Networks 20(3): 323-334 (2007)

Robert A. Legenstein, Dejan Pecevski, Wolfgang Maass: Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity. NIPS 2007

Stefan Klampfl, Robert A. Legenstein, Wolfgang Maass: Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons. NIPS 2006: 713-720

Robert A. Legenstein, Wolfgang Maass: Wire length as a circuit complexity measure. J. Comput. Syst. Sci. 70(1): 53-72 (2005)

Robert A. Legenstein, Christian Naeger, Wolfgang Maass: What Can a Neuron Learn with Spike-Timing-Dependent Plasticity? Neural Computation 17(11): 2337-2382 (2005)

Robert A. Legenstein, Wolfgang Maass: A Criterion for the Convergence of Learning with Spike Timing Dependent Plasticity. NIPS 2005

Nils Bertschinger, Thomas Natschläger, Robert A. Legenstein: At the Edge of Chaos: Real-time Computations and Self-Organized Criticality in Recurrent Neural Networks. NIPS 2004

Wolfgang Maass, Robert A. Legenstein, Nils Bertschinger: Methods for Estimating the Computational Power and Generalization Capability of Neural Microcircuits. NIPS 2004

Robert A. Legenstein, Wolfgang Maass: Neural circuits for pattern recognition with small total wire length. Theor. Comput. Sci. 287(1): 239-249 (2002)

Wolfgang Maass, Robert A. Legenstein, Henry Markram: A New Approach towards Vision Suggested by Biologically Realistic Neural Microcircuit Models. Biologically Motivated Computer Vision 2002: 282-293

Robert A. Legenstein, Wolfgang Maass: Optimizing the Layout of a Balanced Tree. Electronic Colloquium on Computational Complexity (ECCC) 8(069) (2001)

Robert A. Legenstein, Wolfgang Maass: Total Wire Length as a Salient Circuit Complexity Measure for Sensory Processing. Electronic Colloquium on Computational Complexity (ECCC) 8(070) (2001)

Robert A. Legenstein, Wolfgang Maass: Neural Circuits for Pattern Recognition with Small Total Wire Length. Electronic Colloquium on Computational Complexity (ECCC) 8(071) (2001)

Robert A. Legenstein: On the Complexity of Knock-knee Channel-Routing with 3-Terminal Nets. Electronic Colloquium on Computational Complexity (ECCC)(076) (2001)

Robert A. Legenstein, Wolfgang Maass: Foundations for a Circuit Complexity Theory of Sensory Processing. NIPS 2000: 259-265