Hans Rudolf Lüscher

Affiliations: 
University of Bern, Bern, Bern, Switzerland 
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"Hans Rudolf Lüscher"
Mean distance: 13.16 (cluster 6)
 
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Publications

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Köndgen H, Geisler C, Fusi S, et al. (2008) The dynamical response properties of neocortical neurons to temporally modulated noisy inputs in vitro. Cerebral Cortex (New York, N.Y. : 1991). 18: 2086-97
Clopath C, Jolivet R, Rauch A, et al. (2007) Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments Neurocomputing. 70: 1668-1673
La Camera G, Rauch A, Thurbon D, et al. (2006) Multiple time scales of temporal response in pyramidal and fast spiking cortical neurons. Journal of Neurophysiology. 96: 3448-64
Jolivet R, Rauch A, Lüscher HR, et al. (2006) Predicting spike timing of neocortical pyramidal neurons by simple threshold models. Journal of Computational Neuroscience. 21: 35-49
Giugliano M, Arsiero M, Darbon P, et al. (2006) Emerging network activity in dissociated cultures of neocortex: Novel electrophysiological protocols and mathematical modeling Advances in Network Electrophysiology: Using Multi-Electrode Arrays. 243-273
La Camera G, Rauch A, Lüscher HR, et al. (2004) Minimal models of adapted neuronal response to in vivo-like input currents. Neural Computation. 16: 2101-24
Rauch A, La Camera G, Luscher HR, et al. (2003) Neocortical pyramidal cells respond as integrate-and-fire neurons to in vivo-like input currents. Journal of Neurophysiology. 90: 1598-612
Giugliano M, La Camera G, Rauch A, et al. (2002) Non-monotonic current-to-rate response function in a novel integrate-and-fire model neuron Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 141-146
La Camera G, Fusi S, Senn W, et al. (2002) When NMDA receptor conductances increase inter-spike interval variability Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 235-240
La Camera G, Rauch A, Senn W, et al. (2002) Firing rate adaptation without losing sensitivity to input fluctuations Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 180-185
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