Dynamics of a random neural network with synaptic depression. - Walter Senn; Kuno Wyler; Jürg Streit; Matthew E. Larkum; Hans-Rudolf Lüscher; H. Mey; L. Müller; Daniel Stainhauser; K. Vogt; Thierry Wannier (Neural Networks, 1996)

Size principle and information theory. - Walter Senn; Kuno Wyler; H. P. Clamann; J. Kleinle; Hans-Rudolf Lüscher; L. Müller (Biol. Cybern., 1997)

Pattern Generation by Two Coupled Time-Discrete Neural Networks with Synaptic Depression. - Walter Senn; Thierry Wannier; J. Kleinle; Hans-Rudolf Lüscher; L. Müller; Jürg Streit; Kuno Wyler (Neural Comput., 1998)

When NMDA Receptor Conductances Increase Inter-spike Interval Variability. - Giancarlo La Camera; Stefano Fusi; Walter Senn; Alexander Rauch; Hans-Rudolf Lüscher (ICANN, 2002)

Firing Rate Adaptation without Losing Sensitivity to Input Fluctuations. - Giancarlo La Camera; Alexander Rauch; Walter Senn; Hans-Rudolf Lüscher; Stefano Fusi (ICANN, 2002)

Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model Neuron. - Michele Giugliano; Giancarlo La Camera; Alexander Rauch; Hans-Rudolf Lüscher; Stefano Fusi (ICANN, 2002)

Minimal Models of Adapted Neuronal Response to In Vivo-Like Input Currents. - Giancarlo La Camera; Alexander Rauch; Hans-Rudolf Lüscher; Walter Senn; Stefano Fusi (Neural Comput., 2004)

Integrate-and-Fire models with adaptation are good enough. - Renaud Jolivet; Alexander Rauch; Hans-Rudolf Lüscher; Wulfram Gerstner (NIPS, 2005)

Predicting spike timing of neocortical pyramidal neurons by simple threshold models. - Renaud Jolivet; Alexander Rauch; Hans-Rudolf Lüscher; Wulfram Gerstner (J. Comput. Neurosci., 2006)

Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments. - Claudia Clopath; Renaud Jolivet; Alexander Rauch; Hans-Rudolf Lüscher; Wulfram Gerstner (Neurocomputing, 2007)