Publications

Overview in Google scholar

  1. Zenke, F. and Ganguli, S. (in revision).
    SuperSpike: Supervised learning in multi-layer spiking neural networks.
    arXiv:1705.11146
    preprint
  2. Zenke, F.*, Poole, B.*, and Ganguli, S. (2017).
    Continual Learning Through Synaptic Intelligence.
    Proceedings of the 34th International Conference on Machine Learning (ICML), pp. 3987–3995.
    fulltext | preprint
  3. Zenke, F., Gerstner, W., and Ganguli, S. (2017).
    The temporal paradox of Hebbian learning and homeostatic plasticity.
    Curr Opin Neurobiol 43, 166–176. doi: doi.org/10.1016/j.conb.2017.03.015
    fulltext | preprint
  4. Zenke, F. and Gerstner, W. (2017).
    Hebbian plasticity requires compensatory processes on multiple timescales.
    Phil. Trans. R. Soc. B 372, 20160259. doi:
    fulltext | preprint | supplement
  5. Gilson, M., Savin, C., and Zenke, F. (2015).
    Editorial: Emergent neural computation from the interaction of different forms of plasticity.
    Front Comput Neurosci 9, 145. doi: 10.3389/fncom.2015.00145
    fulltext | ebook download of the entire issue
  6. Zenke, F., Agnes, E. J., Gerstner, W., (2015).
    Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks.
    Nature Commun 6. doi: 10.1038/ncomms7922
    fulltext | supplement
  7. Ziegler, L., Zenke, F., Kastner, D.B., Gerstner, W., (2015).
    Synaptic Consolidation: From Synapses to Behavioral Modeling.
    J Neurosci 35, 1319–1334. doi:10.1523/JNEUROSCI.3989-14.2015
    fulltext
  8. Zenke, F. and Gerstner, W., (2014).
    Limits to high-speed simulations of spiking neural networks using general-purpose computers.
    Front Neuroinform 8, 76. doi: 10.3389/fninf.2014.00076
    fulltext
  9. Zenke, F., Hennequin, G., Gerstner, W., (2013).
    Synaptic Plasticity in Neural Networks Needs Homeostasis with a Fast Rate Detector.
    PLoS Comput Biol 9, e1003330. doi:10.1371/journal.pcbi.1003330
    fulltext
  10. Lütcke, H., Gerhard, F., Zenke, F., Gerstner, W., Helmchen, F., (2013).
    Inference of neuronal network spike dynamics and topology from calcium imaging data.
    Front Neural Circuits 7. doi:10.3389/fncir.2013.00201
    fulltext
  11. Vogels, T.P., Froemke, R.C., Doyon, N., Gilson, M., Haas, J.S., Liu, R., Maffei, A., Miller, P., Wierenga, C., Woodin, M.A., Zenke, F., Sprekeler, H., (2013).
    Inhibitory Synaptic Plasticity – Spike timing dependence and putative network function.
    Front Neural Circuits 7. doi:10.3389/fncir.2013.00119
    fulltext
  12. Vogels, T.P., Sprekeler, H., Zenke, F., Clopath, C., Gerstner, W., (2011).
    Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks.
    Science 334, 1569 –1573. doi:10.1126/science.1211095
    fulltext | supplement | video

Publications in experimental particle physics

  1. Friedrich, S., Makonyi, K., Metag, V., Bayadilov, D., Bantes, B., Beck, R., Beloglazov, Y.A., Böse, S., Brinkmann, K.-T., Challand, T., Crede, V., Dahlke, T., Dietz, F., Drexler, P., Eberhardt, H., Elsner, D., Ewald, R., Fornet-Ponse, K., Frommberger, F., Funke, C., Gottschall, M., Gridnev, A., Grüner, M., Gutz, E., Hammann, C., Hammann, D., Hannappel, J., Hartmann, J., Hillert, W., Hirenzaki, S., Hoffmeister, P., Honisch, C., Jaegle, I., Kaiser, D., Kalinowsky, H., Kammer, S., Keshelashvili, I., Kleber, V., Klein, F., Krusche, B., Lang, M., Lopatin, I.V., Maghrbi, Y., Nanova, M., Nagahiro, H., Müller, J., Odenthal, T., Piontek, D., Rostomyan, T., Schaepe, S., Schmidt, C., Schmieden, H., Schmitz, R., Seifen, T., Thiel, A., Thoma, U., van Pee, H., Walther, D., Weil, J., Wendel, C., Wiedner, U., Wilson, A., Winnebeck, A., Zenke, F., (2014).
    Experimental constraints on the ω-nucleus real potential.
    Phys Lett B 736, 26–32. doi:10.1016/j.physletb.2014.07.004
    fulltext
  2. Nanova, M., Metag, V., Paryev, E.Y., Bayadilov, D., Bantes, B., Beck, R., Beloglazov, Y.A., Böse, S., Brinkmann, K.-T., Challand, T., Crede, V., Dahlke, T., Dietz, F., Drexler, P., Eberhardt, H., Elsner, D., Ewald, R., Fornet-Ponse, K., Friedrich, S., Frommberger, F., Funke, C., Gottschall, M., Gridnev, A., Grüner, M., Gutz, E., Hammann, C., Hammann, D., Hannappel, J., Hartmann, J., Hillert, W., Hoffmeister, P., Honisch, C., Jaegle, I., Kaiser, D., Kalinowsky, H., Kammer, S., Keshelashvili, I., Kleber, V., Klein, F., Klempt, E., Krusche, B., Lang, M., Lopatin, I.V., Maghrbi, Y., Makonyi, K., Müller, J., Odenthal, T., Piontek, D., Schaepe, S., Schmidt, C., Schmieden, H., Schmitz, R., Seifen, T., Thiel, A., Thoma, U., van Pee, H., Walther, D., Wendel, C., Wiedner, U., Wilson, A., Winnebeck, A., Zenke, F., (2013).
    Determination of the η’-nucleus optical potential.
    Phys Lett B 727, 417–423. doi: 10.1016/j.physletb.2013.10.062
    fulltext
  3. Böhmer, F.V., Angerer, H., Dørheim, S., Höppner, C., Ketzer, B., Konorov, I., Neubert, S., Paul, S., Vandenbroucke, M., Zhang, X., Berger, M., Cusanno, F., Fabbietti, L., Lalik, R., Beck, R., Kaiser, D., Lang, M., Schmitz, R., Walther, D., Winnebeck, A., Zenke, F., Arora, R., Averbeckt, R., Hehner, J., Herrmannt, N., Kleipa, V., Kunkel, J., Leifelst, Y., Mladen, K., Schmidt, C., Schwab, S., Soyk, D., Voss, B., Voss, J., Weinert, J., Zmeskal, J., (2011).
    A Continuously Running High-Rate GEM-TPC for P̄ANDA.
    Nuclear Physics B – Proceedings Supplements 215, 278–280. doi: 10.1016/j.nuclphysbps.2011.04.030
    fulltext
  4. Fabbietti, L., Angerer, H., Arora, R., Beck, R., Berger, M., Bühler, P., Cargnelli, M., Doerheim, S., Hehner, J., Herrmann, N., Höppner, C., Kaiser, D., Ketzer, B., Mladen, K., Kleipa, V., Konorov, I., Kunkel, J., Lalik, R., Lang, M., Leifels, Y., Marton, J., Neubert, S., Paul, S., Schmitz, R., Schmidt, C., Schwab, S., Sovk, D., Suzuki, K., Thoma, U., Vandenbroucke, M., Voss, B., Voss, J., Walther, D., Weinert, J., Winnebeckd, A., Zenke, F., Zhang, X., Zmeskal, J., (2011).
    The PANDA GEM-based TPC prototype.
    Nucl Instr Meth Phys Res 628, 204–208. doi: 10.1016/j.nima.2010.06.317
    fulltext
  5. Thomas, R.G., Hinde, D.J., Duniec, D., Zenke, F., Dasgupta, M., Brown, M.L., Evers, M., Gasques, L.R., Rodriguez, M.D., Diaz-Torres, A., (2008).
    Entrance channel dependence of quasifission in reactions forming ^220Th.
    Phys Rev C 77, 034610. doi: 10.1103/PhysRevC.77.034610
    fulltexthttps://dx.doi.org/10.1103/PhysRevC.77.034610

PhD thesis

“Memory formation and recall in recurrent spiking neural networks”
Advisor: Wulfram Gerstner – Lausanne: EPFL, 2014
doi:10.5075/epfl-thesis-6260
fulltext (mirror)

Diploma thesis (“Diplomarbeit”)

“A new avalanche photodiode readout for the Crystal Barrel experiment”
Advisor: Reinhard Beck – University of Bonn, 2009
fulltext

Overview in google scholar | “Zenke F” Pubmed search (some false positives).