Reimer Kühn
Reimer Kühn
Professor of Statistical Physics, King's College London
Verified email at kcl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Theory of neural information processing systems
ACC Coolen, R Kühn, P Sollich
OUP Oxford, 2005
1782005
Hebbian learning reconsidered: Representation of static and dynamic objects in associative neural nets
A Herz, B Sulzer, R Kühn, JL Van Hemmen
Biological cybernetics 60 (6), 457-467, 1989
1331989
Cavity approach to the spectral density of sparse symmetric random matrices
T Rogers, IP Castillo, R Kühn, K Takeda
Physical Review E 78 (3), 031116, 2008
1272008
Spectra of sparse random matrices
R Kühn
Journal of Physics A: Mathematical and Theoretical 41 (29), 295002, 2008
1272008
Temporal sequences and chaos in neural nets
U Riedel, R Kühn, JL Van Hemmen
Physical review A 38 (2), 1105, 1988
1141988
Functional correlation approach to operational risk in banking organizations
R Kühn, P Neu
Physica A: Statistical Mechanics and its Applications 322, 650-666, 2003
1052003
Nonlinear neural networks
JL van Hemmen, R Kühn
Physical review letters 57 (7), 913, 1986
1041986
Non-equilibrium dynamics of simple spherical spin models
W Zippold, R Kühn, H Horner
The European Physical Journal B-Condensed Matter and Complex Systems 13 (3 …, 2000
772000
Critical behavior of the randomly spin diluted 2D Ising model: A grand ensemble approach
R Kühn
Physical review letters 73 (16), 2268, 1994
711994
Statistical mechanics for networks of graded-response neurons
R Kühn, S Bös, JL van Hemmen
Physical Review A 43 (4), 2084, 1991
701991
Forgetful memories
JL van Hemmen, G Keller, R Kühn
EPL (Europhysics Letters) 5 (7), 663, 1988
631988
Critical behavior of the two-dimensional spin-diluted Ising model via the equilibrium ensemble approach
G Mazzeo, R Kühn
Physical Review E 60 (4), 3823, 1999
571999
Collective phenomena in neural networks
JL van Hemmen, R Kühn
Models of neural networks, 1-105, 1991
531991
The Hebb rule: Representation of static and dynamic objects in neural nets
AVM Herz, B Sulzer, R Kühn, JL Van Hemmen
Europhys. Lett 7, 663-669, 1988
521988
Signalling entropy: A novel network-theoretical framework for systems analysis and interpretation of functional omic data
AE Teschendorff, P Sollich, R Kuehn
Methods 67 (3), 282-293, 2014
462014
Credit risk enhancement in a network of interdependent firms
P Neu, R Kühn
Physica A: Statistical Mechanics and its Applications 342 (3-4), 639-655, 2004
432004
Elementary solution of classical spin-glass models
JL van Hemmen, D Grensing, A Huber, R Kühn
Zeitschrift für Physik B Condensed Matter 65 (1), 53-63, 1986
431986
Statistical Mechanics for Neural Networks with Continuous-Time Dynamics
R Kühn, S Bös
J. Phys. A 26 (4), 831-857, 1993
411993
Increased signaling entropy in cancer requires the scale-free property of protein interaction networks
AE Teschendorff, CRS Banerji, S Severini, R Kuehn, P Sollich
Scientific reports 5, 9646, 2015
402015
Nonlinear neural networks. I. General theory
JL Van Hemmen, D Grensing, A Huber, R Kühn
Journal of statistical physics 50 (1), 231-257, 1988
401988
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