Publikationen
- Complete chaotic synchronization and exclusion of mutual Pyragas control in two delay-coupled Rössler-type oscillators
T. Jüngling, H. Benner, H. Shirahama, and K. Fukushima
Phys. Rev. E 84, 056208 (2011) - Strong and Weak Chaos in Nonlinear Networks with Time-Delayed Couplings
S. Heiligenthal, T. Dahms, S. Yanchuk, T. Jüngling, V. Flunkert, I. Kanter, E. Schöll, and W. Kinzel
Phys. Rev. Let 107, 234102 (2011) 
The Interplay between Microscopic and Mesoscopic Structures in Complex Networks
Reichardt J, Alamino R, Saad D (2011) PLoS ONE 6(8): e21282- Information symmetries in irreversible processes
CJ Ellison, JR Mahoney, RG James, JP Crutchfield, and Jörg Reichardt (2011) Chaos, 21, 037107 - Synchronization of chaotic networks with time-delayed couplings: An analytic study
A. Englert, S. Heiligenthal, W. Kinzel, and I. Kanter
Phys. Rev. E 83, 046222 (2011) - Synchronization of unidirectional time delay chaotic networks and the greatest common divisor
I. Kanter, M. Zigzag, A. Englert, F. Geissler and W. Kinzel
EPL, 93 (2011) 60003 - Nonlocal mechanism for cluster synchronization in neural circuits
I. Kanter, E. Kopelowitz, R. Vardi, M. Zigzag, W. Kinzel, M. Abeles and D. Cohen
EPL, 93 (2011) 66001 - Entropy production and fluctuation relations for a KPZ interface
A. C. Barato, R. Chetrite, H. Hinrichsen, and D. Mukamel
J. Stat. Mech.: Theor. Exp. P10008 (2010) - Protein Interaction Networks—More Than Mere Modules
Stefan Pinkert, Jörg Schultz, Jörg Reichardt (2010), PLoS Comput Biol 6(1): e1000659 - Equal-time correlation function for directed percolation
I. Beljakov and H. Hinrichsen, accepted by JSTAT - Chaos synchronization with time-delayed couplings. Three conjectures
W. Kinzel, A. Englert, I. Kanter, in From physics to control through an emergent view, ed. by L. Fortuna, A. Fradkov, M. Frasca, World Scientific 2010 - Zero lag synchronization of chaotic systems with time delayed couplings
A. Englert, W. Kinzel, Y. Aviad, M. Butkovski, I. Reidler, M. Zigzag, I. Kanter, and M. Rosenbluh,
Phys. Rev. Lett 104, 114102 (2010) - Zero-lag synchronization and multiple time delays in two coupled chaotic systems
M. Zigzag, M. Butkowski, A. Englert, W. Kinzel, and I. Kanter,
Phys. Rev. E 81, 036215 (2010) - On chaos synchronization and secure communication
W. Kinzel, A. Englert, and I. Kanter, Phil Trans R Soc A 368: 379-389 (2010) - Efficient numerical study of local persistence in directed percolation
H. Hinrichsen, J. Stat. Mech.: Theor. Exp. N10001 (2009) - Absorbing boundaries in the conserved Manna model
A. Hipke, S. Lübeck, and H. Hinrichsen, J. Stat. Mech.: Theor. Exp. P07021 (2009) - A family-based study does not support the association of a functional polymorphism in the gene for endothelial nitric oxide synthase with risk for rheumatoid arthritis
H Kirsten, E Petit-Teixeira, H Hantmann, J Reichardt, J Burkhardt, F Emmrich, F Cornelis, P Ahnert, (2009), Scandinavian Journal of Rheumatology 38 (4) - The simplest nonequilibrium phase transition into an absorbing state
A. C. Barato, J. A. Bonachela, C. E. Fiore, H. Hinrichsen, and M. A. Muñoz
Phys. Rev. E 79, 041130 (2009) - Structure in Complex Networks
J Reichardt, Springer Lecture Notes in Physics 766, (2009) - Nonequilibrium phase transition in a spreading process on a timeline
A. C. Barato and H. Hinrichsen, J. Stat. Mech.: Theor. Exp. P02020 (2009) - Nonequilibrium wetting with competing adsorbates
C. Gogolin, C. Meltzer, M. Willers, and H. Hinrichsen
Phys. Rev. E 79, 041111 (2009) - Pulses of chaos synchronization in coupled map chains with delayed transmission
B. Schmitzer, W. Kinzel, and I. Kanter, Phys. Rev. E, 80 (2009) 047203 - Synchronization of networks of chaotic units with time-delayed couplings
W. Kinzel, A. Englert, G. Reents, M. Zigzag, and I. Kanter, Phys. Rev. E, 79 (2009) 056207 - Zero-lag synchronization of chaotic units with time-delayed couplings
M. Zigzag, M. Butkovski, A. Englert, W. Kinzel and I. Kanter, Europhys. Lett., 85 (2009) 60005 - Entropy estimates of small data sets
J. A. Bonachela, H. Hinrichsen, and M. A. Muñoz, J. Phys. A: Math. Theor. 41 202001 - Boundary-induced nonequilibrium phase transition into an absorbing state
A. C. Barato and H. Hinrichsen, Phys. Rev. Lett. 100, 165701 (2008) - (Un)detectable Cluster Structure in Sparse Networks
Jörg Reichardt, Michele Leone, Phys. Rev. Lett. (2008), 101(7), 078701 - Rate Equations and Scaling in Pulsed Deposition
A. C. Barato, H. Hinrichsen, and D. E. Wolf, Phys. Rev. E 77, 041607 (2008) - Crossover from directed percolation to mean field behavior in the diffusive contact process
A. Messer and H. Hinrichsen, J. Stat. Mech.: Theor. Exp. P04024 (2008) - On the predictive power of Local Scale Invariance
H. Hinrichsen, J. Stat. Mech.: Theor. Exp P07026 (2008) - Long-range epidemic spreading with immunization
F. Linder, J. Tran-Gia, S. R. Dahmen, and H. Hinrichsen, J. Phys. A: Math. Theor. 41, 185005 (2008) - Local Persistence in the Directed Percolation Universality Class
J. Fuchs, J. Schelter, F. Ginelli, and H. Hinrichsen, J. Stat. Mech.: Theor. Exp. P04015 (2008) - Chaos synchronization with dynamic filters: Two-way is better than one-way
I. Kanter, E. Kopelowitz, J. Kestler and W. Kinzel, Euro. Phys. Lett. 83 (2008) 50005 - Public Channel Cryptography: Chaos Synchronization and Hilbert´s Tenth Problem
I. Kanter, E. Kopelowitz, and W. Kinzel, Phys. Rev. Lett. 101, 084102 (2008) - Phase synchronization in mutually coupled chaotic diode lasers
I. Reidler, W. Kinzel, I. Kanter, and M. Rosenbluh, Phys Rev E 78, 025204 (2008) - Patterns of chaos synchronization,
J. Kestler, E. Kopelowitz, I. Kanter and W. Kinzel, Phys Rev E77, 046209 (2008) - Space Representation of Stochastic Processes with Delay
Silvio R. Dahmen, Haye Hinrichsen, Wolfgang Kinzel, Phys. Rev. E77, 031106 (2008) - On the stationary state of a network of inhibitory spiking neurons
Wolfgang Kinzel, J Comput Neurosci 24, 105-112 (2008) - Role Models for Complex Networks
Jörg Reichardt and D.R. White; Eur. Phys. J. B 60, 217-224 (2007) - Partitioning and Modularity of Graphs with arbitrary Degree Distribution
Jörg Reichardt and Stefan Bornholdt, Phys. Rev. E 76, 015102(R) (2007) - Clustering of sparse data via network communities—a prototype study of a large online market
Jörg Reichardt and Stefan Bornholdt, J. Stat. Mech. (2007) P06016 - Statistical mechanics of community detection
Jörg Reichardt, Stefan Bornholdt, Phys. Rev. E 74 (2006) 016110 - When are networks truly modular?
Jörg Reichardt, Stefan Bornholdt, Physica D (2006), 224(1-2) - Detecting fuzzy community structures in complex networks with a Potts model
Jörg Reichardt, Stefan Bornholdt, Phys. Rev. Lett. (2004), 93(21), 218701 - Numerical study of a model of non-equilibrium wetting
Andre C. Barato, Haye Hinrichsen, and Mario J. de Olivera
Phys. Rev. E 77, 011101 (2008). - Dynamical response function of the disordered kinetic Ising model
Haye Hinrichsen, J. Stat. Mech.: Theor. Exp. P02016 (2008). - Ageing in homogeneous systems at criticality
Haye Hinrichsen, preprint - Solid friction: spinning at the onset to sliding
D. E. Wolf, S. R. Dahmen, and H. Hinrichsen, Int. J. Mod. Phys. B 21, 4158 (2007) - Stochastic differential equations with time-delayed feedback and multiplicative noise
S. R. Dahmen and H. Hinrichsen, unpublished - Secure communication with chaos control
Wolfgang Kinzel and Ido Kanter, in Handbook of chaos control, ed. by E Schöll and HG Schuster, Wiley VCH 2007 - Patterns of Chaos Synchronization
Wolfgang Kinzel, Ido Kanter, Johannes Kestler, Evi Kopelowitz; "Beitrag für die 6th Euromech Nonlinear Dynamics Conference 2008" - Sublattice synchronization of chaotic networks with delayed couplings
Johannes Kestler, Wolfgang Kinzel, Ido Kanter; Phys. Rev. E. 76, 035202(R) (2007) - Modeling of light-matter interactions with neural networks
Reimer Selle, Gerhard Vogt, Tobias Brixner, Gustav Gerber, Richard Metzler, and Wolfgang Kinzel, Phys. Rev. A. 76, 023810, (2007) - Spiking Optical Patterns and Synchronization
Michael Rosenbluh, Yaara Aviad, Elad Cohen, Lev Khaykovich, Wolfgang Kinzel, Evi Kopelowitz, Pinhas Yoskovits and Ido Kanter, Phys. Rev. E. (2007) - Formation and consequences of misfit dislocations in heteroepitaxial growth
Markus Walther, Michael Biehl, Wolfgang Kinzel, phys. stat. sol. (c) 4, No. 9, 3210-3220 (2007) - Synchronization of mutually coupled chaotic lasers in the presence of a shutter
Ido Kanter, Noam Gross, Einat Klein, Evi Kopelowitz, Pinhas Yoskovits, Lev Khaykovich, Wolfgang Kinzel, Michael Rosenbluh,
Phys. Rev. Lett. 98,154101 (2007) - Dynamics of neural cryptography
A. Ruttor, W. Kinzel, and I. Kanter, Phys. Rev. E 75, 056104 (2007) - Public-channel cryptography based on mutual chaos pass filters
E. Klein, N. Gross, E. Kopelowitz, W. Kinzel, L. Khaykovich, and I. Kanter, Phys. Rev. E 74, 046201 (2006) - Synchronization of mutually versus unidirectionally coupled chaotic semiconductor lasers
N Gross, W Kinzel, I Kanter, M Rosenbluh, L Kaykovich, Optics Communications 267, 464-468 (2006)
- Non-equilibrium phase transitions with long-range interactions
H. Hinrichsen, J. Stat. Mech.: Theor. Exp. P07066 (2007). - Multicritical Behavior of Diluted Contact Process
Silvio R. Dahmen, L. Sittler and H. Hinrichsen, J. Stat. Mech.: Theor. Exp. P01011 (2007). - Emerging collective behavior of financial dynamics in a public-investment game
Roberto da Silva, Ana L.C. Bazzan, Alexandre T. Baraviera and Silvio R. Dahmen, Physica A 371(2), 610-626 (2006) - Stable isochronal synchronization of mutually coupled chaotic lasers
E. Klein, N. Gross, N. Rosenbluh, W. Kinzel, L. Khaykovich, and I. Kanter, Phys. Rev. E 73, 066214 (2006) - Dynamics of a public investment game: from nearest-neighbor lattices to small-world networks
Roberto da Silva, Ana L.C. Bazzan, Alexandre T. Baraviera and Silvio R. Dahmen,
Lecture Notes in Economics and Mathematical Systems 584, 211-233 (2006) - Public-channel cryptography based on mutual chaos pass filters
Einat Klein, Noam Gross, Evi Kopelowitz, Michael Rosenbluh, Lev Khaykovich, Wolfgang Kinzel, Ido Kanter,
Phys Rev E74 , 046201 (2006)
- Stable isochronal synchronization of mutually coupled chaotic lasers
Einat Klein, Noam Gross, Michael Rosenbluh, Wolfgang Kinzel, Lev Khaykovich, Ido Kanter
Phys Rev E73, 066214 (2006)
- Multifractal distribution of spike intervals for two neurons with unreliable synapses
Johannes Kestler and Wolfgang Kinzel, J. Phys A 39 , L461-466 (2006) - Genetic attack on neural cryptography
Andreas Ruttor, Wolfgang Kinzel, Rivka Naeh, Ido Kanter, Phys. Rev. E 73, 036121 (2006) - A framework for public-channel cryptography using chaotic lasers
Noam Gross, Einat Klein, Michael Rosenbluh, Wolfgang Kinzel, Lev Khaykovich, Ido Kanter
- Public-channel cryptography using chaos synchronization
Einat Klein, Rachel Mislovaty, Ido Kanter and Wolfgang Kinzel, Phys. Rev. E 72, 016214 (2005) - Contact process with long-range interactions
F. Ginelli, H. Hinrichsen, R. Livi, D. Mukamel, and A. Torcini, J. Stat. Mech.: Theor. Exp. P08008 (2006). - Influence of diffusion on models for non-equilibrium wetting
Stefanie Rössner and Haye Hinrichsen, Phys. Rev. E 74, 041607 (2006). - Cluster size distribution of charged nanopowders in suspensions
M. Linsenbühler, J. H. Werth, S. M. Dammer, H. A. Knudsen, H. Hinrichsen, K.-E. Wirth, and D. E. Wolf
Powder Technology 167, 124-133 (2006). - Nonequilibrium critical behavior of a species coexistence model
Heiko Reinhardt, Frank Böhm, Barbara Drossel, and Haye Hinrichsen, Eur. Phys. J. B 51, 245-255 (2006). - Is local scale invariance a generic property of ageing phenomena ?
Haye Hinrichsen, J. Stat. Mech.: Theor. Exp. L06001 (2006) - Non-equilibrium phase transitions
Lectures given at the International Summer School on Problems in Statistical Physics XI, Haye Hinrichsen, Physica A 369, 1 (2006) - Epidemic spreading with long-range infections and incubation times
Julian Adamek, Michael Keller, Arne Senftleben, and Haye Hinrichsen, J. Stat. Mech.: Theor. Exp. P09002 (2005) - Nonequilibrium wetting of finite samples
Thomas Kissinger, Andreas Kotowicz, Oliver Kurz, Francesco Ginelli, and Haye Hinrichsen, J. Stat. Mech.: Theor. Exp. P06002 (2005). - Macroscopic diagnostics of microscopic friction phenomena
S. R. Dahmen, Z. Farkas, H. Hinrichsen, and D. E. Wolf, Phys. Rev. E 71, 066602 (2005).
- Directed Percolation with long-range interactions: modeling non-equilibrium wetting
F. Ginelli, H. Hinrichsen, R. Livi, D. Mukamel, and A. Politi, Phys. Rev. E 71, 026121-026131 (2005). - Aggregation in charged nano suspensions
J. H. Werth, S. M. Dammer, H. A. Knudsen, H. Hinrichsen, and D. E. Wolf, in: Proceeding of Powder and Grains (2006). - Coupling between static friction force and torque for a tripod
S. R. Dahmen, H. Hinrichsen, A. Lysov, and D. E. Wolf, J. Stat. Mech.: Theor. Exp. P03004 (2005). - Statistical model of the powder flow regulation by nanomaterials
D. Kurfess, H. Hinrichsen, and I. Zimmermann, Powder Technology 159, 63-70 (2005). - The phase transition of the diffusive pair contact process revisited
H. Hinrichsen, Physica A 361, 457-462 (2006). - Derivation of a closed form analytical expression for fluorescence recovery after photobleaching in the case of continuous bleaching during read out
E. Endress, S. Weigelt, G. Reents, T. Bayerl, submitted to The European Physical Journal (2004) - Neural cryptography with queries
A. Ruttor, W. Kinzel, I. Kanter, J. Stat. Mech. (2005) P01009
- Interplay of Strain Relaxation and Chemically Induced Diffusion Barriers: Nanostructure Formation in 2D Alloys
T. Volkmann, F. Much, M. Biehl, M. Kotrla, Surface Science 586, 157-173 (2005) - Cooperating attackers in neural cryptography
LN. Shacham, E. Klein, R. Mislovaty, I. Kanter and W. Kinzel, Phys Rev E 69, 066137 (2004) - Electrostatically charged granular matter
S. M. Dammer, J. Werth, and H. Hinrichsen,
in: The Physics of Granular Media , ed. b y H. Hinrichsen and D. E. Wolf, Wiley, Berlin (2004). - Synchronization of random walks with reflecting boundaries
A. Ruttor, G. Reents and W. Kinzel, J. Phys. A: Math. Gen. 37, 8609-8618 (2004) - Neural cryptography with feedback
A. Ruttor, W. Kinzel, L. Shacham and I. Kanter, Phys Rev E 69, 046110 (2004) - Kinetic model of II-VI(001) semiconductor surfaces: Growth rates in atomic layer epitaxy
T. Volkmann, M. Ahr, and M. Biehl, Phys Rev B 69, 165303 (2004) - Spreading with immunization in high dimensions
S. M. Dammer and H. Hinrichsen, J. Stat. Mech.: Theor. Exp. P07011 (2004). ( JSTAT - Mean field theory for skewed height profiles in nonlinear growth processes
F. Ginelli and H. Hinrichsen, J. Phys. A 37, 11085-11100 (2004). ( JPA ) - The non-equilibrium phase transition of the pair-contact process with diffusion
M. Henkel and H. Hinrichsen, J. Phys. A 37, R117-R159 (2004). ( JPA ) - Wetting under non-equilibrium conditions
H. Hinrichsen, R. Livi, D. Mukamel, and A. Politi , Phys. Rev. E 68, 041606 (2003). - Learning curves for mutual information maximization
R. Urbanczik, Phys Rev E68, 016106 (2003) - Evolutionary minority games: the benefits of imitation
R. Metzler and C. Horn, Physica A329, 484-498 (2003) - Disorder generated by interacting neural networks: application to econophysics and cryptography
W. Kinzel and I. Kanter, J. Phys. A: Math Gen. 36, 11173-11186 (2003) - Off-lattice kinetic Monte Carlo simulations of Stranski-Krastanov growth
M. Biehl and F. Much - Simulation of wetting-layer and island formation in heteroepitaxial growth
F. Much and M. Biehl, Europhys. Lett. 63, 14-20(2003) - Comment on Power-law correlations in the southern-oscillation-index fluctuations characteriing El Nino
R Metzler, Phys. Rev E 67 018201 (2003) - Kinetic Monte Carlo simulations of heteroepitaxial growth
M Biehl, M Ahr, W Kinzel and F Much, Thin Sold Films 428, 52-55 (2003) - Public channel cryptography by synchronization of neural networks and chaotic maps
R Mislovaty, E Klein, K Kanter and W Kinzel, Phys. Rev. Lett. 91, 118701 (2003) - Learning of time series through neuron-to-neuron instruction
Y Miyazaki, W Kinzel and S Shinomoto, J. Phys. A: Math. Gen. 36, 1315-1322 (2003) - A kinetic Monte-Carlo method for the simulation of heteroepitaxial growth,
F. Much, M. Ahr, M. Biehl, Comput. Phys. Comm. 147, 226-229 (2002) - Jamming transitions and avalanches in the game of Dots-andBoxes,
R. Metzler and A. Engel, Phys. Rev. E 65, 066108 (2002) - Heat Flux between Quantum Systems
G. Reents in Quantum Limits to the Second Law, D. Sheehan (Ed.), AIP Conference Proceedings 643 (2002) - Neural Cryptography
W. Kinzel and I. Kanter - Mutual learning in a tree parity machine and ists application to cryptography
M. Rosen-Zvi, E. Klein, I. Kanter and W. Kinzel, Phys Rev E 66, 066135 (2002) - Secure key-exchange protocol
R. Mislovaty, Y. Perchenok, I. Kanter and W. Kinzel, Phys Rev E 66 , 066102 (2002) - Interacting neural networks and cryptography
W. Kinzel and I. Kanter, Advances in Solid State Physics 42, B. Kramer (Ed.), p. 383 (Springer Verlag 2002) - Cryptography based on neural networks - analytical results
M. Rosen-Zvi, I. Kanter and W. Kinzel, J. Phys. A: Math. Gen. 35 No 47 (2002) L707-L713 - Time series prediction by neural networks - is it difficult
M. Rosen-Zvi, I. Kanter and W. Kinzel, J PHYS A-MATH GEN 36 (16): 4543-4550 (2003) - Theory of interacting neural networks
W. Kinzel, p. 199 in Handbook of Graphs and Networks, ed. by S. Bornholdt and HG Schuster, Wiley VCH (2003) - Asymptotic universality for learning curves of support vector machines
M. Opper and R. Urbanczik, NIPS 14 (to appear), MIT Press (2001) - Learning in feed-forward neural networks: dynamics and phase transitions
M. Biehl, eingeladener Beitrag zum ZIF-Workshop Perspectives on Adaptivity and Learning, Bielefeld 2000, erscheint bei Springer - Supervised learning in committee machines by PCA
C. Bunzmann, M. Biehl, R. Urbanczik, contribution to the European Symposium on Artificial Neural Networks, Bruges/Belgium 2002 - Flat (001) surfaces of II-VI semiconductors: a lattice gas model
M. Ahr and M. Biehl, Surface Science, 505, 124-136 (2002) - Antipersistent binary time series
R. Metzler, J. Phys. A 35 p. 721-730 (2002) - Multichoice minority game
Liat Ein-Dor, Richard Metzler, Ido Kanter,Wolfgang Kinzel, Phys. Rev. E 63, 066103 (2001) - Learning and predicting time series by neural networks
A. Freking, W. Kinzel and I. Kanter, Phys. Rev. E 65 050903(R) (2002) - Low autocorrelated multiphase sequences
L.Ein-Dor, I. Kanter and W. Kinzel, Phys. Rev. E 65, 020102(R) (2002) - The theory of neural networks and cryptography
I. Kanter and W. Kinzel, Proceedings of the XXII Solvay Conference on The Physics of Communication, ed. by I. Antoniou, V A Sadovnichy and H Walther., p. 631-642 - Terrace sizes and particle currents in epitaxial growth
M. Biehl and W. Kinzel, JSME International Journal, B 45, 112 (2002) - Predicting and generating time series by neural networks: An investigation using statistical physics
W. Kinzel in "Computational Statistical Physics, From Billiards to Monte Carlo" K. H. Hoffmann, M. Schreiber (Eds.) Springer, (2001) - Stochastic dynamics of adaptive evolutionary search. A study on population-based incremental learning.
E. Galic, European Physical Journal B 21, no. 1, 145-52 (May 2001) - Statistical physics of learning and generalization
W. Kinzel, preprint (2001) - Statistical physics of interacting neural networks
W. Kinzel, R. Metzler and I. Kanter, Minerva International Workshop ?Frontiers in the physics of complex systems 2001?, special issue of Physica A 302 (2001) 44-55 - Dynamics of interacting neural networks
W. Kinzel, preprint (2001) - Secure exchange of information by synchronization of neural networks
I. Kanter, W. Kinzel and E. Kanter, Europhys. Lett., 57 (1), pp. 141-147 (2002) - Support vector machines learning noisy polynomial rules
M. Opper and R. Urbanczik, Minerva International Workshop ?Frontiers in the physics of complex systems 2001?, special issue of Physica A 302 110-118 (2001) - Modelling (001) surfaces of II-VI semiconductors
M. Ahr, M. Biehl, T. Volkmann, Comp Phys Comm 147, 107-110 (2002) - Training multilayer perceptrons by principal component analysis
M. Biehl, C. Bunzmann, R. Urbanczik, Minerva International Workshop ?Frontiers in the physics of complex systems 2001?, special issue of Physica A 302 (2001) 56-63 - Kinetic Monte Carlo Simulations of dislocations in heteroepitaxial growth
F. Much, M. Ahr, M. Biehl and W. Kinzel, Europhys. Lett. 56 (6), 791 (2001) - Generation of unpredictable time series by a neural network
R. Metzler, W. Kinzel, L. Ein-Dor, I. Kanter, Phys Rev. E 63, 056126 (2001) - Universal learning curves of support vector machines
M. Opper, R. Urbancik (2001) - Efficiently learning multilayer perceptronsy
C. Bunzmann, M. Biehl and R. Urbanczik, Phys. Rev. Lett. 53, 169 (2001) - A lattice gas model of II-VI(001) semiconductor surfaces
M. Biehl, M. Ahr, W. Kinzel, M. Sokolowski and T. Volkmann, Europhys. Lett 53, 169 (2001) - Anthropogenic disturbance changes the mechanisms structuring arboreal ant communities
A. Floren, A. Freking, M. Biehl and K.E. Linsenmair, Ecography 24, 547-554 (2001) - Particle currents and the distribution of terrace sizes in unstable epitaxial growth
M. Biehl, M. Ahr, M. Kinne, W. Kinzel, S. Schinzer, Phys. Rev. B 64, 113405 (2001) - On time's arrow in Ehrenfest models with reversible deterministic dynamics
R. Metzler, W. Kinzel and I. Kanter, J. Phys. A: Math. Gen. 34, 317-326 (2001) - Interacting neural networks
R. Metzler, W. Kinzel, and I. Kanter, Phys. Rev. E, 62 (2) pp. 2555-2565 (2000) - A Stochastic Strategy for the Minority Game
G. Reents, R. Metzler, and W. Kinzel, Physica A 299, 253-261 (2001) - On-line learning from a finite training set: A solvable model
B. López and M. Opper, Europhys. Letters 49 (3) pp. 275-281 (2000) - Modelling sublimation and atomic layer epitaxy in the presence of competing surface reconstructions
M. Ahr and M. Biehl, Surface Science Letters, 488, L553, (2001) - The influence of the crystal lattice on coarsening in unstable epitaxial growth
M. Ahr, M. Biehl, M. Kinne and W. Kinzel, Surface Science 465, 339 (2000) - Learning structured data from unspecific reinforcement
M. Biehl, R. Kühn, I.-O. Stamatescu, J. Phys. A 33, 6843 (2000) - Singularity spectra of rough growing surfaces from wavelet analysis
M. Ahr and M. Biehl, Phys. Rev. E 62, 1773 (2000) - Statistical physics of learning: Phase tranistions in multilayered neural networks
M. Biehl, M. Ahr and E. Schlösser, DPG Frühjahrstagung des Arbeitskreises Festkörperphysik 2000, in: Advances in Solid State Physics 40, Hrsg. B. Kramer, Vieweg (2000) - Statistical physics of neural networks
W. Kinzel, Computer Physics Communications, 121-122, pp. 86-93 (1999) - Support vectors and statistical mechanics
R. Dietrich, M.Opper, and H. Sompolinsky, in A. J. Smola, P. Bartlett, B. Schölkopf, and D. Schuurmans, editors, Advances in Large Margin Classifiers. MIT Press, Cambridge, MA (1999) - Statistical Mechanics of On-line Learning and Generalization
M. Biehl, and N. Caticha, invited contribution to the second edition of "The Handbook of Brain Theory and Neural Networks", submitted to MIT Press (1999) - Noisy regression and classification with continuous multilayer networks
M. Ahr, M. Biehl, and R. Urbanczik, J. Phys. A: Math. Gen. 32, L531-L536 (1999) - Ehrlich-Schwoebel barrier controlled slope selection in epitaxial growth
S. Schinzer, S. Köhler and G. Reents, Eur. Phys. J. B 15, 161-168 (2000) - Simultaneous layer-by-layer and step flow sublimation of CdTe(001) surfaces deduced from a diffraction analysis
H. Neureiter, S. Schinzer, W. Kinzel, S. Tatarenko, M. Sokolowski, M. Schneider, and E. Umbach, Phys. Rev. B 61, 7 (2000) - Dynamics of Interacting Neural Networks
W. Kinzel, R. Metzler, I. Kanter, J. Phys. Gen. 33 L141-L147 (2000) - Weight decay induced phase transitions in multilayer neural networks
M. Ahr, M. Biehl and E. Schlösser, J. Phys. A 32, 5003 (1999) - Unconventional MBE strategies from computer simulations for optimized growth conditions
S. Schinzer, M. Sokolowski, M. Biehl and W. Kinzel, Phys. Rev. B60, pp. 2893-2899 (1998) - Statistical physics and practical training of soft-committee machines
M. Ahr, M. Biehl and R. Urbanczik, Eur. Phys. J. B10, 583 (1999) - Evaporation and step edge diffusion in MBE
S. Schinzer, M. Sokolowski, M. Biehl, and W. Kinzel, in "Proceedings of the 10th International Conference on Molecular Beam Epitaxy (1998), J. of Crystal Growth" (201-202) pp. 85-87 (1999) - Demonstration of nonlinear components in heart rate variability of healthy persons
C. Braun, P. Kowallik, A. Freking, D. Hadeler, K-D. Kniffki, and M. Meesmann, Am. J. Physiol. 275 (Heart Circ. Physiol. 5)(1998), H1577-H1584 - Statistical mechanics of support vector networks
R. Dietrich, M. Opper, and H. Sompolinsky, Phys. Rev. Lett. 82 (14), 2975-2978 (1999) - Optimisation of on-line principal component analysis
E. Schlösser, D. Saad, and M. Biehl, J. Phys. A 32, 4061 (1999) - Kinetic processes on a polar semiconductor surface: A high resolution LEED-analysis of the thermal smoothing of the CdTe(001) surface
H. Neureiter, S. Schinzer, M. Sokolowski, and E. Umbach, to appear in J. Chryst. Growth (X. Int. Conf. on Molecular Beam Epitaxy, Cannes, aug. 1998) - A simple model of epitaxial growth: the influence of step edge diffusion
M. Biehl, M. Kinne, W. Kinzel, S. Schinzer in: Proceedings of the 1998 Conference on Computational Physics, Comp. Phys. Comm. 121-122, 347 (1999) - Receiver operating characteristics of perceptrons: Influence of sample size and prevalence
A. Freking, M. Biehl, C. Braun, W. Kinzel and M. Meesmann, Phys Rev. E, Vol. 60, issue 5, pp 5926-5931 (1999)
- The role of step edge diffusion in epitaxial crystal growth
S. Schinzer, M. Kinne, M. Biehl and W. Kinzel, Surface Science 439, 191 (1999) - Phase transitions in soft-committee machines
M. Biehl, E. Schlösser, M. Ahr, Europhys. Lett. 44 (2) 261-267 (1998) - Learnability of periodic activation functions - general results
M. Rosen-Zvi, M. Biehl, and I. Kanter, Phys. Rev. E 58, 3606 (1998) - Statistical Mechanics of Learning in the Presence of Outliers
R. Dietrich, M. Opper, J. Phys. A, 31 9131 - 9147 (1998)
- First-order phase transitions in clustering
J. Schneider, Phys. Rev. E, 57, 2, 2449-2451, (1998)
- On-line Learning of Prototypes and Principal Components
Michael Biehl, Ansgar Freking, Matthias Hölzer, Georg Reents, and Enno Schlösser, in D. Saad (ed.) "On-line learning in neural networks" Cambridge University Press (1998) - Limit cycles of a perceptron
M. Schröder and W. Kinzel, J. Phys. A 31, 2967 - 2974 (1998) - Self-averaging and On-line Learning
G. Reents and R. Urbanczik (1998), Phys. Rev. Letters, 80(24), 5445-5448 (1998) - Learning dynamics on different timescales
Dominik Endres and Peter Riegler, J. Phys. A: Math. Gen. 32, 8655-9663 (1999) - The dynamics of on-line principal component analysis
M. Biehl and E. Schloesser; J. Phys. A: Math. Gen 31, L97-L103 (1998) - Modelling sublimation by computer simulation: morphology dependent effective energies
Stefan Schinzer, Wolfgang Kinzel, Surface Science, 401 (1), 96-104 (1998) - Comment on "Finite Size Scaling in Neural Networks"
M. Schroeder, and R. Urbanczik, Phys. Rev. Letters, 80, 4109 (1998) - Multilayer perceptrons may learn simple rules quickly
R. Urbanczik, Phys. Rev. E, 58, 2298 - 2301 (1998)
- Worst case prediction over sequences under log loss
M. Opper, D. Haussler; Proceedings of the IMA workshop on "The Mathematics of Information Coding, Extraction & Distribution" to be published by Springer Verlag - An exact description of early stopping and weight decay
S. Boes and M. Opper; submitted to Neural Computation - Regression with Gaussian Processes: Average Case Performance
M. Opper; Proceedings of the Hong Kong International Workshop on Theoretical Aspects of Neural Computation: A Multi-disciplinary Perspective (TANC 97) - Monte Carlo and Molecular Dynamics of Condensed Matter Systems
von K. Binder und G. Ciccotti, Conference Proceedings, Vol 49, Italian Physical Society, Bologna 1996
W. Kinzel, Buchbesprechung in Phys. Bl. 53, 1032 (1997)
- Physik im 21. Jahrhundert
Wolfgang Kinzel in BUSY Zukunfts Magazin, Ausgabe Nr. 8, 1997
- A simple model of epitaxial growth
Michael Biehl, Wolfgang Kinzel, Stefan Schinzer, Eurphys. Lett 41 (4), 443 (1998)
- Anti-Predictable Sequences: Harder to Predict Than A Random Sequence
Huaiyu Zhu, Wolfgang Kinzel, Neural Computation 10, 2219 - 2230 (1998)
- Gehirn und Computer: Sind neuronale Netzwerke mathematisch berechenbar?
W. Kinzel, Vortrag zum 9.Würzburger Symposium, 5./6. Juni 1997 "Streitsache Mensch - Zur Auseinandersetzung zwischen Natur- und Geisteswissenschaften", Klett Verlag 1999
- Vapnik-Chervonenkis entropy of the spherical perceptron
P. Riegler and H. S. Seung, Phys. Rev. E 55, 3283 (1997)
- On-line learning in a discrete state space
Wolfgang Kinzel and Robert Urbanczik, J. Phys. A.: Math. Gen. 31 (1998) L27-L30 - Phase Transitions of Neural Networks
Wolfgang Kinzel, Phil. Mag. B 77, 1455 - 1477 (1998)
- Online versus Offline Learning
M. Opper; Proceedings of Minerva workshop on mesoscopics, fractals and neural networks - Specialization processes in on-line unsupervised learning
M. Biehl, A. Freking, G. Reents and E. Schlösser, Phil. Mag. B, Vol. 77, 1487 - 1494, (1998) - Worst case prediction over sequences under log loss
M. Opper and D. Haussler; Proceedings of the IMA workshop on "The Mathematics of Information Coding, Extraction & Distribution" to be published by Springer Verlag - Metric Entropy and minimax risk in classification
D. Haussler and M. Opper; Lecture Notes in Computer Science: Studies in Logic and Computer Science, Vol. 1261, 212-235 (1997), eds. J. Mycielski, G. Rozenberg and A. Salomaa
- Online versus Offline Learning from Random Examples: General Results
Manfred Opper, Phys. Rev. Lett 77, 4671 (1996) - Learning by diluting a Neural Network
B. Lopez and W. Kinzel, J. Phys. A: Math. Gen 30, 7753-7764 (1997) - Transient dynamics of on-line learning in two-layered neural networks
M. Biehl, P. Riegler and C. Wöhler, J. Phys. A 29 4769 (1996) - Noise robustness in multilayer neural networks
M. Copelli, R. Eichhorn, O. Kinouchi, M. Biehl, R. Simonetti, P. Riegler
and N. Caticha, Europhys. Lett. 37 (6), 427-432 (1997)
- Dynamics of on-line competitive learning
M. Biehl, A. Freking and G. Reents, Europhys. Lett., 38 (1), 73-78 (1997)
- Training a perceptron by a bit sequence: storage capacity
M. Schröder, W. Kinzel and I. Kanter, J. Phys. A 29 7965-7972 (1996) - Quantum Mechanics Simulation
von J. R. Hiller, I. D. Johnston u. D. F. Styer. Wiley, Chichester 1995, W. Kinzel, Buchbesprechung in Phys. Bl. 52, 1030 (1996)
- Storage capacity of the fully connected committee machine
R. Urbanczik, J. Phys. A., 30 (11), L 387-L392 (1997)
- On the phase transition of an infinite range asymmetric spin glas model
J. Wiesler, M. Opper and A. Scharnagl, submitted to J. Phys. A
- Dynamics of Training
S. Bös and M. Opper; Proceedings of NIPS96 - A mean field algorithm for Bayes learning in large feedforward neural networks
M. Opper and O. Winther; Proceedings of NIPS96 - A mean field approach to Bayes learning in feed-forward neural networks
M. Opper and O. Winther; Phys. Rev. Lett. 76, 1964 (1996)
- Selection of examples for a linear classifier
G. Jung and M. Opper; J. Phys. A, 29, 1367 (1996) - Bounds for predictive errors in the statistical mechanics of supervised learning
M. Opper and D. Haussler; Phys. Rev. Lett. 75, 3772 (1995)
- Learning in artificial neural networks: The statistical mechanics approach
M. Opper; in Workshop on Supercomputing in Brain Research: From Tomography to Neural Networks, eds: H. J. Herrmann, D. E. Wolf, E. Pöppel, World Scientific (1995) - Convexity, internal representation and the statistical mechanics of neural networks
M. Opper, P. Kuhlmann, A. Mietzner; Europhys. Lett 37, 31 (1997) - Mutual information, metric entropy, and risk in estimation of probability distributions
D. Haussler, Manfred Opper, Annals of statistics 25 (6), 1997 - Bilder elementarer Quantenmechanik
W. Kinzel, Physikalische Blätter, Dezember 1995
- Learning of Correlated Patterns in Perceptrons
B. López, M. Schröder and M. Opper; J. Phys. A 28, L447 (1995) - Supervised Learning: Information Theoretic Bounds on Predictive Errors
M. Opper and D. Haussler; invited contribution to the IEEE workshop on Information Theory (ITW'95) - On the relaxation of infinite-range spin glasses
A. Scharnagl, M. Opper and W. Kinzel, J. Phys. A, 28 20, 5721 (1995) - On-line backpropagation in two-layered neural networks
P. Riegler and M. Biehl, J. Phys. A, 28 20, L 507 (1995)
- Quadratic Representations of the Canonical Commutation Relations
M. Proksch, G. Reents and S. J. Summers, Publ. RIMS, Kyoto Univ., 31 (755 - 804) 1995
- Intrinsic phase operator of the Noh-FougSres-Mandel experiments
B. Englert, K. W¢dkiewicz, P. Riegler, Phys. Rev. A, 52 2, (1704 - 1711) 1995 - Supervised learning: Information theoretic bounds on predictive errors
M. Opper and D. Haussler; invited contribution to the IEEE workshop on information theory (ITW '95)
- General bounds for predictive errors in supervised learning
M. Opper and D. Haussler; invited contribution to the workshop:Theory of Neural Networks: The Statistical Mechanics Perspective (Pohang, Korea 1995), Proceedings ed. by J.-H. Oh, Ch. Kwon, S. Cho, World Scientific (Singapore) 1995 - Mutual information and Bayes methods for learning a distribution
D. Haussler and M. Opper; invited contribution to the workshop: Theory of Neural Networks: The Statistical Mechanics Perspective (Pohang, Korea 1995), ed. by J.-H. Oh, Ch. Kwon, S. Cho, World Scientific (Singapore) 1995 - Learning from noisy data: an exactly solvable model
M. Biehl, P. Riegler and M. Stechert, Phys. Rev. E 52, 4624 (1995) - Off-line learning from clustered input examples
C. Marangi, S. A. Solla, M. Biehl and P. Riegler, in: Proc. of the 7th Italian Workshop on Neural Networks 1995, World Scientific (Singapore) 1996 - On-line learning from clustered input examples
P. Riegler, M. Biehl, S. A. Solla and C. Marangi, in: Proc. of the 7th Italian Workshop on Neural Networks 1995, World Scientific (Singapore) 1996 - Learning in Artificial Neural Networks: The Statistical Mechanics Approach
M. Opper; invited contribution ot the "Workshop on Supercomputing in Brain Research: From Tomography to Neural Networks", HLRZ of the KFA Jülich - General Bounds on the Mutual Information Between a Parameter and n Conditionally Independent Observations
D. Haussler and M. Opper; contribution to the VIII th Annual Workshop on Computational Learning Theory (COLT95) (Santa Cruz 1995), pages 402-411, published by the Ass. for Computing Machinery, New York
- Storage of correlated patterns in a perceptron
B. Lopez, M. Schröder and M. Opper, J. Phys. A 28, L447 (1995) - Rigorous bounds for predictive errors in the statistical mechanics of supervised learning
M. Opper, D. Haussler, submitted to Phys. Rev. Lett. - General bounds on the mutual information between a parameter and n conditionally independent observations
D. Haussler, M. Opper - Statistical physics estimates for the complexity of feedforward neural networks
M. Opper, Phys. Rev. E 51, 3613 - 3618 (1994) - Learning and generalization in a two-layer neural network: the role of the Vapnik-Chervonenkis Dimension
M. Opper, Phys. Rev. Letters, 72, 2113 - 2116 (1994)
- Perceptron learning: The largest version space
M. Biehl and M. Opper; invited contribution to the Workshop: Theory of Neural Networks: The Statistical Mechanics Perspective (Pohang, Korea 1995), ed. by J.-H. Oh, Ch. Kwon, S. Cho, World Scientific (Singapore) 1995 - Beyond Coherent States: Higher Order Representations
G. Reents and S. J. Summers; in On Klauders Path: A Field Trip, eds. G. G. Emch, G. C. Hegerfeldt, L. Streit, World Scientific (Singapore) 1994 - The Bit-Generator and Time-Series Prediction
E. Eisenstein, I. Kanter, D. A. Kessler and W. Kinzel - Generation and prediction of time series by a neural network
E. Eisenstein, I. Kanter, D. A. Kessler, and W. Kinzel, Phys. Rev. Letters 74, 6 (1995) - Maximal stability in unsupervised learning
A. Mietzner, M. Opper, W. Kinzel, J. Phys. A 28, 2785 (1995) - On-line learning with a perceptron
M. Biehl, P. Riegler, Europhys. Lett. 28, 525-530 (1994)
- Statistical mechanics of learning: generalization
Manfred Opper - Supervised learning from clustered input examples
C. Marangi, M. Biehl, S. A. Solla, Europhysics Letters 30, 117-122 (1995) - Statistical mechanics of the knapsack problem
E. Korutcheva, M. Opper, B. L¢pez, J. Phys. A.: Math. Gen. 27, L645- L650 (1994)
- Learning by on-line gradient descent
M. Biehl, H. Schwarze, J. Phys. A 28, 643-656, (1995)
- An exactly solvable model of unsupervised learning
M. Biehl, Europhys. Lett. 25 (5), 391-396 (1994) - Statistical mechanics of unsupervised structure recognition
M. Biehl, A. Mietzner, J. Phys. A 27, 1885 - 1897 (1994)
- Mean-field Monte Carlo approach to the Sherrington-Kirkpatrick model with asymmetric couplings
H. Eißfeller and M. Opper, Phys. Rev. E 50, 709 - 720 (1994) - The number of metastable states of a simple perceptron with gradient descent learning algorithm
E. Korutcheva, J. Phys. A 26, L1021 (1993) - Simulating infinite systems
M. Opper, Physica A 200, 545-551 (1993) - Statistical mechanics of generalization: New results for perceptrons
W. Kinzel, Physica A 200, 613 - 618 (1993) - Statistical mechanics of generalization
M. Opper, W. Kinzel, in: Physics of Neural Networks, Springer Verlag (Models of Neural Networks III) p. 151 (1995) - Statistical mechanics of unsupervised learning
M. Biehl and A. Mietzner, Europhys. Lett. 24 (5), 421 - 426 (1993) - Exact solution to a toy random field model
M. Opper, J. Phys. A 26, L719 (1993) - The effect of correlations in neural networks
A. Wendemuth, M. Opper and W. Kinzel, J. Phys. A 26, 3165 (1993)
- Physik lernender Netzwerke
W. Kinzel in Physik und Informatik, Eds. D. König und M. Lang, Informatik Fachberichte 306, S. 90, Springer Verlag (1991)
- On the generalization ability of diluted perceptrons
P. Kuhlmann and K. R. Müller, J. Phys. A 27, 3759-3774 (1994) - Learning drifting concepts with neural networks
M. Biehl and H. Schwarze, J. Phys. A 26, 2651 (1993)
- On-line learning of a time-dependent rule
M. Biehl and H. Schwarze, Europhys. Lett. 20, 733 (1992)
- In search of an optimal dilution algorithm for feedforward networks
R. Garces, P. Kuhlmann and H. Eißfeller, J. Phys. A 25, L 1335 (1992) - A dilution algorithm for neural networks
P. Kuhlmann, R. Garces and H. Eißfeller, J. Phys A 25, L 593 (1992) - Statistical mechanics for neural networks with continuous-time dynamics
R. Kühn and S. Bös, J. Phys. A 26, 831 (1993) - Estimating average-case learning curves using bayesian, statistical physics and VC dimension methods
D. Haussler, M. Kearns, M. Opper and R. E. Schapire (1991), contribution to NIPS 91. - Query by committee
H. S. Seung, M. Opper and H. Sompolinksy (1992), in: Proc. Vth Annual ACM Workshop on Comp. Learning Theory, Assoc. for Computing Machinery, New York (1992) - The generalization ability of perceptrons with continuous outputs
S. Bös, W. Kinzel and M. Opper, Phys. Rev. E 47, 1384 (1993)
- Physik lernender Netzwerke
Manfred Opper, Physikalische Blätter (1992)
- The statistical mechanics of learning a rule
T. L. H. Watkin, A. Rau, and M. Biehl, Rev. Mod. Phys. 65, 499 (1993) - On a scaling law for the nonequilibrium relaxation of spin glasses
H. Eißfeller and W. Kinzel, J. Phys. A 25, 1473 (1992)
- A new method for studying the dynamics of disordered spin systems without finite-size effects
H. Eißfeller and M. Opper, Phys. Rev. Lett. 68, 2094 (1992) - Metastable states in the projection rule neural network
P. Kuhlmann and W. Anlauf, J. Phys. A 27, 5857 (1994)
- Phase transition and 1/f noise in game dynamical model
S. Diederich and M. Opper, Phys. Rev. Lett. 69, 1616 (1992) - Generalization in a two-layer neural network
H. Schwarze, M. Opper and W. Kinzel, Phys. Rev. A 46, R 6185 (1992) - Construction algorithm for the parity-machine
M. Biehl and M. Opper, Physica A 193, 307 (1993) - Learning grey-toned patterns in neural networks
S. Mertens, H. M. Köhler and S. Bös, J. Phys. A 24, 4941 (1991) - Calculation of the learning curve of Bayes optimal classification algorithm for learning a perceptron with noise
M. Opper and D. Haussler (1991), contribution to 4th Workshop on Computational Learning Theory, proceedings published by Morgan Kaufmann - Perceptron learning by constrained optimization: The AdaTron Algorithm
M. Biehl, J. Anlauf and W. Kinzel in: Neurodynamics, eds. F. Pasemann and H. D. Doebner, World Scientific, Singapore (1991) - Tiling-like learning in the parity-machine
M. Biehl and M. Opper, Phys. Rev. A 44, 6888 (1991)
- Alignment in the fully asymmetric SK-model
H. Rieger, M. Schreckenberg, P. Spitzner and W. Kinzel, J. Phys. A 24, 3399 (1991) - Generalization performance of Bayes optimal classification algorithm for learning a perceptron
M. Opper and D. Haussler, Phys. Rev. Lett. 66, 2677 (1991)
- Statistical mechanics for networks of graded-response neurons
R. Kühn, S. Bös and J. L. van Hemmen, Phys. Rev. A 43, 2084 (1991) - Parallel dynamic of the neural network with pseudoinverse coupling matrix
R. D. Henkel and M. Opper, J. Phys. A 24, 2201 (1991)
- Dynamics of Learning
W. Kinzel and M. Opper, in: Physics of Neural Networks eds. E. Domany, J. L. v. Hemmen, K. Schulten, Springer-Verlag (Models of Neural Networks) p. 149 (1991)
- Das menschliche Gehirn - der unerreichbare Superrechner - Mathematische Grundlagen für die Neurobiologie
W. Kinzel, Mitteilungen der DFG, 4, 13 (1990) ebenfalls abgedruckt in: Neue Zürcher Zeitung, 29. Mai 1991 Holiday Inn live, Frühjahrsausgabe 1991
- Improving a network generalization ability by selecting examples
W. Kinzel and P. Rujan, Europhys. Lett. 13, 473 (1990)
- Buchbesprechung "Menschliches Denken - Künstliche Intelligenz" von W. F. Allman
W. Kinzel, Bild der Wissenschaft, S. 72, August 1990
- Statistical mechanics of the perceptron with optimal stability
W. Kinzel in: Proceedings of the Sitges Conference "Neural Networks", ed. by L. Garrido, (Springer Verlag 1990) - Properties of an adaptive perceptron algorithm
J. K. Anlauf and M. Biehl, in: Parallel processing in neural systems and computers ed. by R. Eckmiller, G. Hartmann and G. Haucke, p. 153 (Elsevier, North Holland 1990) - On the ability of the optimal perceptron to generalize
M. Opper, W. Kinzel, J. Kleinz and R. Nehl, J. Phys. A 23, L 581 (1990) - Physics of neural networks
W. Kinzel, Europhysics News, 21, June (1990) - Physik neuronaler Netzwerke
M. Schreckenberg and W. Kinzel, Phys. Blätter 46, 65 (1990) - Distribution of internal fields and dynamics of neural networks
R. D. Henkel and M. Opper, Europhys. Lett. 11, 403 (1990)
- Physik neuronaler Netzwerke
W. Kinzel, Spiegel der Forschung, 8 (1989) und Universitas (1990)
- Learning algorithm for a neural network with binary synapses
H. Köhler, S. Diederich, W. Kinzel and M. Opper, Z. Physik B 78, 333 (1990) - The adatron: An adaptive perceptron algorithm
J. K. Anlauf and M. Biehl, Europhys. Lett. 10, 687 (1989)
- Replicators with random interactions: A solvable model
S. Diederich and M. Opper, Phys. Rev. A 39, No. 8, 4333 (1989). - Freezing transition in asymmetric random neural networks with deterministic dynamics
P. Spitzner and W. Kinzel, Z. Physik B 77, 511 (1989)
- Critical storage capacity of the J=\pm 1 neural network
W. Krauth and M. Opper, J. Phys. A 22, L 519 (1989)
- Learning in neural networks: Solvable dynamics
M. Opper, Europhys. Lett. 8 (4), 389 (1989) - Hopfield network with directed bonds
P. Spitzner and W. Kinzel, Z. Phys. B 74, 539 (1989)
- Basins of attraction near the critical storage capacity for neural networks with constant stabilities
M. Opper, J. Kleinz, H. Köhler and W. Kinzel J. Phys. A: Math. Gen. 22, L407 (1989) - Layered neural networks
E. Domany, W. Kinzel, R. Meir, J. Phys. A 22, 2069 (1989)
- Statistical mechanics of neural networks
W. Kinzel, Physica Scripta T 25, 144 (1989) - Learning times of neural networks: Exact solution for a PERCEPTRON algorithm
M. Opper, Phys. Rev. A. 38, 3824 (1988) - Statistical mechanics of learning algorithms for neural networks
M. Opper, S. Diederich and J. Anlauf, Contribution to nEuro, Paris, Juni 1988 - Der ganz andere Computer
W. Kinzel and U. Deker, Bild der Wissenschaft, Jan. 1988
- Learning by error corrections in spin glass models of neural networks
S.. Diederich, M. Opper, R. D. Henkel and W. Kinzel in: Computer Simulation in brain science, ed. by R. M. J. Cotterill, 232 (Cambridge University Press, 1988) - Learning of correlated patterns in spin glass networks by local learning rules
S. Diederich and M. Opper, Phys. Rev. Letters 58, 949 (1987) - Models of neural networks
W. Kinzel, Lecture Notes in Physics, Vol. 284, 152 (1987)
- Spin glasses and memory
W. Kinzel, Physica Scripta 35, 398 (1987)
- Neural networks with asymmetric bonds
W. Kinzel, Proceedings of the Heidelberg Colloquium on "Glassy dynamics and optimization", L. v. Hemmen and I. Morgenstern (Eds.), Lecture Notes in Physics 275, 529 (1987) - Storing and retrieving information in a layered spin system
E. Domany, R. Meir and W. Kinzel, Europhysics Letters 2, 175 (1986) - Lernen und Mustererkennung mit Modellen für ungeordnete magnetische Materialien
W. Kinzel, Jahresbericht 1985/86 der Kernforschungsanlage Jülich
- Learning and pattern recognition in spin glass models
W. Kinzel, Z. Physik B 60, 205 (1985) - Spin glasses as model systems for neural networks
Kinzel, in: Complex Systems-Operational Approaches, ed. H. Haken, 107 (Springer 1985)
