Robert A. Legenstein

	2011
24		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)
	2010
23		Michael Jahrer, Andreas Töscher, Robert A. Legenstein: Combining predictions for accurate recommender systems. KDD 2010: 693-702
22		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)
21		Robert A. Legenstein, Niko Wilbert, Laurenz Wiskott: Reinforcement Learning on Slow Features of High-Dimensional Input Streams. PLoS Computational Biology 6(8): (2010)
	2009
20		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
19		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)
	2008
18		Benjamin Schrauwen, Lars Buesing, Robert A. Legenstein: On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing. NIPS 2008: 1425-1432
17		Robert A. Legenstein, Wolfgang Maass: On the Classification Capability of Sign-Constrained Perceptrons. Neural Computation 20(1): 288-309 (2008)
16		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)
	2007
15		Robert A. Legenstein, Dejan Pecevski, Wolfgang Maass: Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity. NIPS 2007
14		Robert A. Legenstein, Wolfgang Maass: Edge of chaos and prediction of computational performance for neural circuit models. Neural Networks 20(3): 323-334 (2007)
	2006
13		Stefan Klampfl, Robert A. Legenstein, Wolfgang Maass: Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons. NIPS 2006: 713-720
	2005
12		Robert A. Legenstein, Wolfgang Maass: A Criterion for the Convergence of Learning with Spike Timing Dependent Plasticity. NIPS 2005
11		Robert A. Legenstein, Wolfgang Maass: Wire length as a circuit complexity measure. J. Comput. Syst. Sci. 70(1): 53-72 (2005)
10		Robert A. Legenstein, Christian Naeger, Wolfgang Maass: What Can a Neuron Learn with Spike-Timing-Dependent Plasticity? Neural Computation 17(11): 2337-2382 (2005)
	2004
9		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
8		Wolfgang Maass, Robert A. Legenstein, Nils Bertschinger: Methods for Estimating the Computational Power and Generalization Capability of Neural Microcircuits. NIPS 2004
	2002
7		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
6		Robert A. Legenstein, Wolfgang Maass: Neural circuits for pattern recognition with small total wire length. Theor. Comput. Sci. 287(1): 239-249 (2002)
	2001
5		Robert A. Legenstein, Wolfgang Maass: Optimizing the Layout of a Balanced Tree Electronic Colloquium on Computational Complexity (ECCC) 8(069): (2001)
4		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)
3		Robert A. Legenstein, Wolfgang Maass: Neural Circuits for Pattern Recognition with Small Total Wire Length Electronic Colloquium on Computational Complexity (ECCC) 8(071): (2001)
2		Robert A. Legenstein: On the Complexity of Knock-knee Channel-Routing with 3-Terminal Nets Electronic Colloquium on Computational Complexity (ECCC)(076): (2001)
	2000
1		Robert A. Legenstein, Wolfgang Maass: Foundations for a Circuit Complexity Theory of Sensory Processing. NIPS 2000: 259-265

Coauthor Index

1	Marco Baglietto	[24]
2	Lubica Benusková (Lubica Benuskova)	[24]
3	Nils Bertschinger	[8] [9]
4	Lars Buesing (Lars Büsing)	[18] [22]
5	Ivo Bukovsky	[24]
6	Steven M. Chase	[20]
7	Tianping Chen	[24]
8	Tom Heskes	[24]
9	Kazushi Ikeda	[24]
10	Michael Jahrer	[23]
11	Fakhri Karray (Fakhreddine Karray)	[24]
12	Rhee Man Kil	[24]
13	Stefan Klampfl	[13] [19]
14	Jinhu Lu (Jinhu Lü)	[24]
15	Yunqian Ma	[24]
16	Wolfgang Maass	[1] [3] [4] [5] [6] [7] [8] [10] [11] [12] [13] [14] [15] [16] [17] [19] [20]
17	Malik Magdon-Ismail	[24]
18	Henry Markram	[7]
19	Christian Naeger	[10]
20	Thomas Natschläger	[9]
21	Michael G. Paulin	[24]
22	Dejan Pecevski	[15] [16]
23	Robi Polikar	[24]
24	Danil V. Prokhorov	[24]
25	Benjamin Schrauwen	[18] [22]
26	Andrew B. Schwartz	[20]
27	Andreas Töscher	[23]
28	Marco Wiering (Marco A. Wiering)	[24]
29	Niko Wilbert	[21]
30	Laurenz Wiskott	[21]
31	Vicente Zarzoso	[24]

Colors in the list of coauthors

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