Senn, W.

Göltz, J.; Kriener, L.; Baumbach, A.; Billaudelle, S.; Breitwieser, O.; Cramer, B.; Dold, D.; Kungl, A. F.; Senn, W.; Schemmel, J.; Meier, K.; Petrovici, M. A. (2021). Fast and energy-efficient neuromorphic deep learning with first-spike times. Nature machine intelligence, 3(9), pp. 823-835. Springer Nature 10.1038/s42256-021-00388-x

Billaudelle, S.; Stradmann, Y.; Schreiber, K.; Cramer, B.; Baumbach, A.; Dold, D.; Goltz, J.; Kungl, A.F.; Wunderlich, T. C.; Hartel, A.; Muller, E.; Breitwieser, O.; Mauch, C.; Kleider, M.; Grubl, A.; Stockel, D.; Pehle, C.; Heimbrecht, A.; Spilger, P.; Kiene, G.; ... (2020). Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. IEEE Xplore, pp. 1-5. IEEE 10.1109/ISCAS45731.2020.9180741

Senn, W.; Buchs, N.J. (2003). Spike-Based Synaptic Plasticity and the Emergence of Direction Selective Simple Cells: Mathematical Analysis. Journal of computational neuroscience, 14(2), pp. 119-138. Kluwer Academic 10.1023/a:1021935100586

Buchs, N.J.; Senn, W. (2002). Spike-Based Synaptic Plasticity and the Emergence of Direction Selective Simple Cells: Simulation Results. Journal of computational neuroscience, 13(3), pp. 167-186. Kluwer Academic 10.1023/a:1020210230751

Senn, W.; Wannier, Th.; Kleinle, J.; Lüscher, H.-R.; Müller, L.; Streit, J.; Wyler, K. (1998). Pattern Generation by Two Coupled Time-Discrete Neural Networks with Synaptic Depression. Neural computation, 10(5), pp. 1251-1275. MIT Press 10.1162/089976698300017449

Senn, W.; Segev, I.; Tsodyks, M. (1998). Reading Neuronal Synchrony with Depressing Synapses. Neural computation, 10(4), pp. 815-819. MIT Press 10.1162/089976698300017494

Senn, W.; Wyler, K.; Clamann, H.P.; Kleinle, J.; Larkum, M.; Lüscher, H.-R.; Müller, L.; Streit, J.; Vogt, K.; Wannier, T. (1995). Recruitment by size and principle of least action Bern: Universität Bern