| A neuronal learning rule for sub-millisecond temporal coding W Gerstner, R Kempter, JL Van Hemmen, H Wagner Nature 383 (6595), 76-78, 1996 | 1097 | 1996 |
| Hebbian learning and spiking neurons R Kempter, W Gerstner, JL Van Hemmen Physical Review E 59 (4), 4498, 1999 | 604 | 1999 |
| 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 | 384 | 1997 |
| 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 | 301 | 1993 |
| What matters in neuronal locking? W Gerstner, JL Van Hemmen, JD Cowan Neural computation 8 (8), 1653-1676, 1996 | 268 | 1996 |
| Associative memory in a network of ‘spiking’neurons W Gerstner, JL van Hemmen Network: Computation in Neural Systems 3 (2), 139-164, 1992 | 261 | 1992 |
| Intrinsic stabilization of output rates by spike-based Hebbian learning R Kempter, W Gerstner, JL Hemmen Neural computation 13 (12), 2709-2741, 2001 | 206 | 2001 |
| Classical spin-glass model JL van Hemmen Physical Review Letters 49 (6), 409, 1982 | 204 | 1982 |
| Models of neural networks I E Domany, JL van Hemmen, K Schulten Springer Science & Business Media, 2012 | 200 | 2012 |
| Tunnelling of quantum spins JL van Hemmen, A Sütö EPL (Europhysics Letters) 1 (10), 481, 1986 | 178 | 1986 |
| The replica method and solvable spin glass model JL Van Hemmen, RG Palmer Journal of Physics A: Mathematical and General 12 (4), 563, 1979 | 151 | 1979 |
| Tunneling of quantum spins JL Van Hemmen, A Sütö Physica B+ C 141 (1), 37-75, 1986 | 150 | 1986 |
| 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 | 148 | 2000 |
| Coherence and incoherence in a globally coupled ensemble of pulse-emitting units W Gerstner, JL van Hemmen Physical review letters 71 (3), 312, 1993 | 139 | 1993 |
| 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 | 138 | 1993 |
| 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 | 137 | 1989 |
| 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 | 136 | 1993 |
| Accelerating backpropagation through dynamic self-adaptation R Solomon, JL Van Hemmen Neural Networks 9 (4), 589-601, 1996 | 123 | 1996 |
| Nonlinear neural networks JL van Hemmen, R Kühn Physical review letters 57 (7), 913, 1986 | 121* | 1986 |
| Temporal sequences and chaos in neural nets U Riedel, R Kühn, JL Van Hemmen Physical review A 38 (2), 1105, 1988 | 119 | 1988 |
