J.L. van Hemmen
J.L. van Hemmen
Professor of Theoretical Biophysics, TU München
Verified email at tum.de
Title
Cited by
Cited by
Year
A neuronal learning rule for sub-millisecond temporal coding
W Gerstner, R Kempter, JL Van Hemmen, H Wagner
Nature 383 (6595), 76-78, 1996
11351996
Hebbian learning and spiking neurons
R Kempter, W Gerstner, JL Van Hemmen
Physical Review E 59 (4), 4498, 1999
6261999
Reduction of the Hodgkin-Huxley equations to a single-variable threshold model
WM Kistler, W Gerstner, JL Hemmen
Neural computation 9 (5), 1015-1045, 1997
3901997
Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns
W Gerstner, R Ritz, JL Van Hemmen
Biological cybernetics 69 (5-6), 503-515, 1993
3131993
What matters in neuronal locking?
W Gerstner, JL Van Hemmen, JD Cowan
Neural computation 8 (8), 1653-1676, 1996
2731996
Associative memory in a network of ‘spiking’neurons
W Gerstner, JL van Hemmen
Network: Computation in Neural Systems 3 (2), 139-164, 1992
2731992
Intrinsic stabilization of output rates by spike-based Hebbian learning
R Kempter, W Gerstner, JL Hemmen
Neural computation 13 (12), 2709-2741, 2001
2102001
Classical spin-glass model
JL van Hemmen
Physical Review Letters 49 (6), 409, 1982
2031982
Models of neural networks I
E Domany, JL van Hemmen, K Schulten
Springer Science & Business Media, 2012
1982012
Tunnelling of quantum spins
JL van Hemmen, A Sütö
EPL (Europhysics Letters) 1 (10), 481, 1986
1781986
The replica method and solvable spin glass model
JL van Hemmen, RG Palmer
Journal of Physics A: Mathematical and General 12 (4), 563, 1979
1561979
Modeling synaptic plasticity in conjunction with the timing of pre-and postsynaptic action potentials
WM Kistler, JL Hemmen
Neural Computation 12 (2), 385-405, 2000
1532000
Tunneling of quantum spins
JL Van Hemmen, A Sütö
Physica B+ C 141 (1), 37-75, 1986
1511986
Lyapunov function for the Kuramoto model of nonlinearly coupled oscillators
JL Van Hemmen, WF Wreszinski
Journal of Statistical Physics 72 (1-2), 145-166, 1993
1441993
Coherence and incoherence in a globally coupled ensemble of pulse-emitting units
W Gerstner, JL van Hemmen
Physical review letters 71 (3), 312, 1993
1391993
A biologically motivated and analytically soluble model of collective oscillations in the cortex
W Gerstner, R Ritz, JL van Hemmen
Biological cybernetics 68 (4), 363-374, 1993
1381993
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
1351989
Cytokine-modulated regulation of helper T cell populations
A Yates, C Bergmann, J Leo Van Hemmen, J Stark, R Callard
Journal of theoretical biology 206 (4), 539-560, 2000
1232000
Accelerating backpropagation through dynamic self-adaptation
R Solomon, JL Van Hemmen
Neural Networks 9 (4), 589-601, 1996
1231996
Nonlinear neural networks
JL van Hemmen, R Kühn
Physical review letters 57 (7), 913, 1986
120*1986
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