| Stability of working memory in continuous attractor networks under the control of short-term plasticity A Seeholzer, M Deger, W Gerstner PLoS computational biology 15 (4), e1006928, 2019 | 80 | 2019 |
| Algorithmic composition of melodies with deep recurrent neural networks F Colombo, SP Muscinelli, A Seeholzer, J Brea, W Gerstner arXiv preprint arXiv:1606.07251, 2016 | 66 | 2016 |
| Deep artificial composer: A creative neural network model for automated melody generation F Colombo, A Seeholzer, W Gerstner Computational Intelligence in Music, Sound, Art and Design: 6th …, 2017 | 53 | 2017 |
| Mapping the function of neuronal ion channels in model and experiment WF Podlaski, A Seeholzer, LN Groschner, G Miesenböck, R Ranjan, ... Elife 6, e22152, 2017 | 47* | 2017 |
| Synaptic patterning and the timescales of cortical dynamics R Duarte, A Seeholzer, K Zilles, A Morrison Current Opinion in Neurobiology 43, 156-165, 2017 | 45 | 2017 |
| Nest 2.12. 0 S Kunkel, R Deepu, HE Plesser, B Golosio, ME Lepperød, JM Eppler, ... Jülich Supercomputing Center, 2017 | 40 | 2017 |
| Multicontact Co-operativity in Spike-Timing–Dependent Structural Plasticity Stabilizes Networks M Deger, A Seeholzer, W Gerstner Cerebral Cortex 28 (4), 1396-1415, 2018 | 29* | 2018 |
| 25th annual computational neuroscience meeting: CNS-2016 TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ... BMC neuroscience 17, 1-112, 2016 | 27 | 2016 |
| NEST 2.10. 0 H Bos, R Deepu, T Stocco, M Schmidt, JM Eppler, F Michler, HE Plesser, ... JARA-HPC, 2015 | 18 | 2015 |
| Rajalekshmi Deepu, Teo Stocco, Moritz Deger, Frank Mich-ler, and Hans Ekkehard Plesser H Bos, J Morrison, A Peyser, A Hahne, M Helias, S Kunkel, T Ippen, ... Nest 2 (0), 2015 | 7 | 2015 |
| NEST 2.12. 0, Mar. 2017 S Kunkel, A Morrison, P Weidel, JM Eppler, A Sinha, W Schenck, ... URL https://doi. org/10.5281/zenodo 259534, 41, 0 | 5 | |
| Efficient low-dimensional approximation of continuous attractor networks A Seeholzer, M Deger, W Gerstner arXiv preprint arXiv:1711.08032, 2017 | 4 | 2017 |
| Working memory facilitates reward-modulated Hebbian learning in recurrent neural networks R Pogodin, D Corneil, A Seeholzer, J Heng, W Gerstner arXiv preprint arXiv:1910.10559, 2019 | 2 | 2019 |
| Rajalekshmi Deepu H Bos Teo Stocco, Maximilian Schmidt, Jochen Martin Eppler, Frank Michler, Hans …, 2015 | 2 | 2015 |
| Periodic versus Intermittent Adaptive Cycles in Quasispecies Coevolution A Seeholzer, E Frey, B Obermayer Physical Review Letters 113 (12), 128101, 2014 | 2 | 2014 |
| Continuous attractor working memory and provenance of channel models AK Seeholzer EPFL, 2017 | 1 | 2017 |
| Mapping the function of neuronal ion channels in model and experiment T Vogels, W Podladski, G Miesenboeck, L Groschner, A Seeholzer, ... eLife 6, 2017 | | 2017 |
| Periodic vs. intermittent adaptive cycles in quasispecies co-evolution A Seeholzer, E Frey, B Obermayer arXiv preprint arXiv:1408.6345, 2014 | | 2014 |
| Stabilizing working memory in spiking networks with biologically plausible synaptic dynamics A Seeholzer, M Deger, W Gerstner BMC Neuroscience 15 (Suppl 1), P157, 2014 | | 2014 |
| Visualizing the similarity and pedigree of NEURON ion channel models available on ModelDB WF Podlaski, A Seeholzer, R Rajnish, T Vogels COSYNE 2014, 2014 | | 2014 |
Wulfram GerstnerEPFLVerified email at epfl.ch