| 2007 |
|---|
| 9 | EE | Claudia Clopath,
Renaud Jolivet,
Alexander Rauch,
Hans-Rudolf Lüscher,
Wulfram Gerstner:
Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments.
Neurocomputing 70(10-12): 1668-1673 (2007) |
| 2006 |
|---|
| 8 | EE | Renaud Jolivet,
Alexander Rauch,
Hans-Rudolf Lüscher,
Wulfram Gerstner:
Predicting spike timing of neocortical pyramidal neurons by simple threshold models.
Journal of Computational Neuroscience 21(1): 35-49 (2006) |
| 2005 |
|---|
| 7 | EE | Renaud Jolivet,
Alexander Rauch,
Hans-Rudolf Lüscher,
Wulfram Gerstner:
Integrate-and-Fire models with adaptation are good enough.
NIPS 2005 |
| 2004 |
|---|
| 6 | EE | Giancarlo La Camera,
Alexander Rauch,
Hans-Rudolf Lüscher,
Walter Senn,
Stefano Fusi:
Minimal Models of Adapted Neuronal Response to In Vivo-Like Input Currents.
Neural Computation 16(10): 2101-2124 (2004) |
| 2002 |
|---|
| 5 | EE | Michele Giugliano,
Giancarlo La Camera,
Alexander Rauch,
Hans-Rudolf Lüscher,
Stefano Fusi:
Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model Neuron.
ICANN 2002: 141-146 |
| 4 | EE | Giancarlo La Camera,
Alexander Rauch,
Walter Senn,
Hans-Rudolf Lüscher,
Stefano Fusi:
Firing Rate Adaptation without Losing Sensitivity to Input Fluctuations.
ICANN 2002: 180-185 |
| 3 | EE | Giancarlo La Camera,
Stefano Fusi,
Walter Senn,
Alexander Rauch,
Hans-Rudolf Lüscher:
When NMDA Receptor Conductances Increase Inter-spike Interval Variability.
ICANN 2002: 235-240 |
| 1998 |
|---|
| 2 | | Walter Senn,
Thierry Wannier,
J. Kleinle,
Hans-Rudolf Lüscher,
L. Müller,
Jürg Streit,
Kuno Wyler:
Pattern Generation by Two Coupled Time-Discrete Neural Networks with Synaptic Depression.
Neural Computation 10(5): 1251-1275 (1998) |
| 1996 |
|---|
| 1 | EE | Walter Senn,
Kuno Wyler,
Jürg Streit,
Matthew E. Larkum,
Hans-Rudolf Lüscher,
H. Mey,
L. Müller,
Daniel Stainhauser,
K. Vogt,
Thierry Wannier:
Dynamics of a random neural network with synaptic depression.
Neural Networks 9(4): 575-588 (1996) |
