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Jordan, Jakob; Sacramento, João Antonio; Wybo, Willem A M; Petrovici, Mihai A; Senn, Walter (2024). Conductance-based dendrites perform Bayes-optimal cue integration. PLoS computational biology, 20(6) Public Library of Science 10.1371/journal.pcbi.1012047

Storm, Johan F; Klink, P Christiaan; Aru, Jaan; Senn, Walter; Goebel, Rainer; Pigorini, Andrea; Avanzini, Pietro; Vanduffel, Wim; Roelfsema, Pieter R; Massimini, Marcello; Larkum, Matthew E; Pennartz, Cyriel M A (2024). An integrative, multiscale view on neural theories of consciousness. Neuron, 112(10), pp. 1531-1552. Elsevier 10.1016/j.neuron.2024.02.004

Deperrois, Nicolas; Petrovici, Mihai A; Senn, Walter; Jordan, Jakob (2024). Learning beyond sensations: how dreams organize neuronal representations. Neuroscience and biobehavioral reviews, 157(105508), p. 105508. Elsevier 10.1016/j.neubiorev.2023.105508

Wybo, Willem A M; Tsai, Matthias C; Tran, Viet Anh Khoa; Illing, Bernd; Jordan, Jakob; Morrison, Abigail; Senn, Walter (2023). NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways. Proceedings of the National Academy of Sciences of the United States of America - PNAS, 120(32), e2300558120. National Academy of Sciences 10.1073/pnas.2300558120

Fehér, Kristoffer D; Omlin, Ximena; Tarokh, Leila; Schneider, Carlotta L; Morishima, Yosuke; Züst, Marc A; Wunderlin, Marina; König, Thomas; Hertenstein, Elisabeth; Ellenberger, Benjamin; Ruch, Simon; Schmidig, Flavio; Mikutta, Christian; Trinca, Ersilia; Senn, Walter; Feige, Bernd; Klöppel, Stefan; Nissen, Christoph (2023). Feasibility, efficacy, and functional relevance of automated auditory closed-loop suppression of slow-wave sleep in humans. Journal of sleep research, 32(4), e13846. Wiley-Blackwell 10.1111/jsr.13846

Kreutzer, Elena; Senn, Walter; Petrovici, Mihai A (2022). Natural-gradient learning for spiking neurons. eLife, 11 eLife Sciences Publications 10.7554/eLife.66526

Deperrois, Nicolas; Petrovici, Mihai A; Senn, Walter; Jordan, Jakob (2022). Learning cortical representations through perturbed and adversarial dreaming. eLife, 11 eLife Sciences Publications 10.7554/eLife.76384

Korcsak-Gorzo, Agnes; Müller, Michael G; Baumbach, Andreas; Leng, Luziwei; Breitwieser, Oliver J; van Albada, Sacha J; Senn, Walter; Meier, Karlheinz; Legenstein, Robert; Petrovici, Mihai A (2022). Cortical oscillations support sampling-based computations in spiking neural networks. PLoS computational biology, 18(3), e1009753. Public Library of Science 10.1371/journal.pcbi.1009753

Zhao, Chang; Widmer, Yves F.; Diegelmann, Sören; Petrovici, Mihai Alexandru; Sprecher, Simon G.; Senn, Walter (2021). Predictive olfactory learning in Drosophila. Scientific Reports, 11(1), p. 6795. Nature Publishing Group 10.1038/s41598-021-85841-y

Wybo, Willem; Jordan, Jakob; Ellenberger, Benjamin; Marti Mengual, Ulisses; Nevian, Thomas; Senn, Walter (2021). Data-driven reduction of dendritic morphologies with preserved dendro-somatic responses. eLife, 10(e60936) eLife Sciences Publications 10.7554/eLife.60936

Gasser, Benedikt Andreas; Kurz, Johann; Senn, Walter; Escher, Genevieve; Mohaupt, Markus Georg (2021). Stress-induced alterations of social behavior are reversible by antagonism of steroid hormones in C57/BL6 mice. Naunyn-Schmiedeberg's archives of pharmacology, 394(1), pp. 127-135. Springer 10.1007/s00210-020-01970-7

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

Jordan, Jakob; Schmidt, Maximilian; Senn, Walter; Petrovici, Mihai A (2021). Evolving interpretable plasticity for spiking networks. eLife, 10 eLife Sciences Publications 10.7554/eLife.66273

Haider, Paul; Ellenberger, Benjamin; Kriener, Laura; Jordan, Jakob; Senn, Walter; Petrovici, Mihai A. (2021). Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons. Advances in Neural Information Processing Systems (NIPS), 35. MIT Press

Marti Mengual, Ulisses; Wybo, Willem A.M.; Spierenburg, Lotte J. E.; Santello, Mirko; Senn, Walter; Nevian, Thomas (2020). Efficient Low-Pass Dendro-Somatic Coupling in the Apical Dendrite of Layer 5 Pyramidal Neurons in the Anterior Cingulate Cortex. Journal of neuroscience, 40(46), pp. 8799-8815. Society for Neuroscience 10.1523/JNEUROSCI.3028-19.2020

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

Richards, Blake A.; Lillicrap, Timothy P.; Beaudoin, Philippe; Bengio, Yoshua; Bogacz, Rafal; Christensen, Amelia; Clopath, Claudia; Ponte Costa, Rui; de Berker, Archy; Ganguli, Surya; Gillon, Colleen J.; Hafner, Danijar; Kepecs, Adam; Kriegeskorte, Nikolaus; Latham, Peter; Lindsay, Grace W.; Miller, Kenneth D.; Naud, Richard; Pack, Christopher C.; Poirazi, Panayiota; ... (2019). A deep learning framework for neuroscience. Nature neuroscience, 22(11), pp. 1761-1770. Springer Nature 10.1038/s41593-019-0520-2

Dold, Dominik; Bytschok, Ilja; Kungl, Akos F.; Baumbach, Andreas; Breitwieser, Oliver; Senn, Walter; Schemmel, Johannes; Meier, Karlheinz; Petrovici, Mihai A. (2019). Stochasticity from function — Why the Bayesian brain may need no noise. Neural networks, 119, pp. 200-213. Elsevier 10.1016/j.neunet.2019.08.002

de Andres-Bragado, Lucia; Mazza, Christian; Senn, Walter; Sprecher, Simon G. (2018). Statistical modelling of navigational decisions based on intensity versus directionality in Drosophila larval phototaxis. Scientific Reports, 8(1), p. 11272. Nature Publishing Group 10.1038/s41598-018-29533-0

Leng, Luziwei; Martel, Roman; Breitwieser, Oliver; Bytschok, Ilja; Senn, Walter; Schemmel, Johannes; Meier, Karlheinz; Petrovici, Mihai Alexandru (2018). Spiking neurons with short-term synaptic plasticity form superior generative networks. Scientific Reports, 8(1), p. 10651. Nature Publishing Group 10.1038/s41598-018-28999-2

Sacramento, João; Ponte Costa, Rui; Bengio, Yoshua; Senn, Walter (2018). Dendritic cortical microcircuits approximate the backpropagation algorithm. In: Advances in Neural Information Processing Systems 31 (NeurIPS 2018) 31. Curran Associates, Inc.

Wantz, Andrea L.; Lobmaier, Janek S.; Mast, Fred W.; Senn, Walter (2017). Spatial but not oculomotor information biases perceptual memory. Evidence from face perception and cognitive modeling. Cognitive science, 41(6), pp. 1533-1554. Wiley-Blackwell 10.1111/cogs.12437

Spicher, Dominik; Clopath, Claudia; Senn, Walter (25 February 2017). Predictive plasticity in dendrites: from a computational principle to experimental data (Unpublished). In: COSYNE. Salt Lake City. 23-26.02.2017.

Schiess, Mathieu; Urbanczik, Robert; Senn, Walter (2016). Somato-dendritic Synaptic Plasticity and Error-backpropagation in Active Dendrites. PLoS computational biology, 12(2), e1004638. Public Library of Science 10.1371/journal.pcbi.1004638

Brea, Johanni Michael; Gaál, Alexisz Tamás; Urbanczik, Robert; Senn, Walter; Latham, Peter E. (2016). Prospective Coding by Spiking Neurons. PLoS computational biology, 12(6), e1005003. Public Library of Science 10.1371/journal.pcbi.1005003

Clarke, Aaron Michael; Friedrich, Johannes; Tartaglia, Elisa M.; Marchesotti, Silvia; Senn, Walter; Herzog, Michael H.; Vasilaki, Eleni (2015). Human and Machine Learning in Non-Markovian Decision Making. PLoS ONE, 10(4), e0123105. Public Library of Science 10.1371/journal.pone.0123105

Khajeh Alijani, Azadeh; Urbanczik, Robert; Senn, Walter; Lytton, William W (2015). Scale-Free Navigational Planning by Neuronal Traveling Waves. PLoS ONE, 10(7), e0127269. Public Library of Science 10.1371/journal.pone.0127269

Senn, Walter; Sacramento, Joao (2015). Backward reasoning the formation rules. Nature neuroscience, 18(12), pp. 1705-1706. Nature America 10.1038/nn.4172

Senn, Walter; Brea, Johanni Michael (2015). Neurons that Remember How We Got There. Neuron, 85(4), pp. 664-666. Cell Press 10.1016/j.neuron.2015.01.029

Vladimirskiy, Boris; Urbanczik, Robert; Senn, Walter; Lytton, William W (2015). Hierarchical Novelty-Familiarity Representation in the Visual System by Modular Predictive Coding. PLoS ONE, 10(12), e0144636. Public Library of Science 10.1371/journal.pone.0144636

Senn, Walter; Pfister, Jean Pascal (2014). Spike-Timing Dependent Plasticity, Learning Rules. In: Jaeger, Dieter; Jung, Ranu (eds.) Encyclopedia of Computational Neuroscience (pp. 1-10). New York: Springer 10.1007/978-1-4614-7320-6_683-1

Senn, Walter; Pfister, Jean Pascal (2014). Reinforcement learning in cortical networks. In: Jaeger, Dieter; Jung, Ranu (eds.) Encyclopedia of Computational Neuroscience (pp. 1-6). New York: Springer 10.1007/978-1-4614-7320-6_580-1

Blom, Sigrid Marie; Pfister, Jean Pascal; Santello, Mirko; Senn, Walter; Nevian, Thomas (2014). Nerve Injury-Induced Neuropathic Pain Causes Disinhibition of the Anterior Cingulate Cortex. Journal of neuroscience, 34(17), pp. 5754-5764. Society for Neuroscience 10.1523/JNEUROSCI.3667-13.2014

Friedrich, Johannes; Urbanczik, Robert; Senn, Walter (2014). Code-specific learning rules improve action selection by populations of spiking neurons. International Journal of Neural Systems, 24(5), p. 1450002. World Scientific Publishing 10.1142/S0129065714500026

Urbanczik, Robert; Senn, Walter (2014). Learning by the Dendritic Prediction of Somatic Spiking. Neuron, 81(3), pp. 521-528. Cell Press 10.1016/j.neuron.2013.11.030

Brea, Johanni; Urbanczik, Robert; Senn, Walter (2014). A Normative Theory of Forgetting: Lessons from the Fruit Fly. PLoS computational biology, 10(6), e1003640. Public Library of Science 10.1371/journal.pcbi.1003640

Lüdge, Torsten; Urbanczik, Robert; Senn, Walter (2014). Modulation of orientation-selective neurons by motion: when additive, when multiplicative? Frontiers in computational neuroscience, 8(8), p. 67. Frontiers Research Foundation 10.3389/fncom.2014.00067

Brea, Johanni Michael; Senn, Walter; Pfister, Jean Pascal (2013). Matching Recall and Storage in Sequence Learning with Spiking Neural Networks. Journal of neuroscience, 33(23), pp. 9565-9575. Society for Neuroscience 10.1523/JNEUROSCI.4098-12.2013

Friedrich, Johannes; Senn, Walter (2012). Spike-based decision learning of nash equilibria in two-player games. PLoS computational biology, 8(9), pp. 1-12. San Francisco, Calif.: Public Library of Science 10.1371/journal.pcbi.1002691

Friedrich, Johannes; Urbanczik, Robert; Senn, Walter (2011). Spatio-Temporal Credit Assignment in Neuronal Population Learning. PLoS computational biology, 7(6), e1002092. San Francisco, Calif.: Public Library of Science 10.1371/journal.pcbi.1002092

Fiete, Ila R.; Senn, Walter; Wang, Claude Z. H.; Hahnloser, Richard H. R. (2010). Spike-Time-Dependent Plasticity and Heterosynaptic Competition Organize Networks to Produce Long Scale-Free Sequences of Neural Activity. Neuron, 65(4), pp. 563-576. Cambridge, Mass.: Cell Press 10.1016/j.neuron.2010.02.003

Friedrich, Johannes; Urbanczik, Robert; Senn, Walter (2010). Learning Spike-Based Population Codes by Reward and Population Feedback. Neural computation, 22(1698-1717), pp. 1698-1717. Cambridge, Mass.: MIT Press 10.1162/neco.2010.05-09-1010

Friedrich, Johannes; Urbanczik, Robert; Senn, Walter (2010). Spatio-temporal credit assignment in population learning. In: Computational and Systems Neuroscience 2010. Salt Lake City, UT, USA. 25 Feb - 2 Mar, 2010. 10.3389/conf.fnins.2010.03.00263

Friedrich, Johannes; Urbanczik, Robert; Senn, Walter (2010). Spatio-temporal credit assignment in population learning. In: 7th Forum of European Neuroscience. Amsterdam, Netherlands. July 3-7, 2010.

Friedrich, Johannes; Urbanczik, Robert; Senn, Walter (2010). Spatio-temporal credit assignment in population learning. In: 6th Clinical Neuroscience Meeting Bern. Bern, Switzerland. November 29th 2010.

Friedrich, Johannes; Urbanczik, Robert; Senn, Walter (2010). Spatio-temporal credit assignment in population learning. In: 4th All-SystemsX.ch-Day. Geneva, Switzerland.

Friedrich, Johannes; Urbanczik, Robert; Senn, Walter (2010). Activity dependent modulation of plasticity in population learning. In: 24th Annual Conference on Neural Information Processing Systems. Vancouver, BC, Canada. 6–9 Dec 2010.

Schiess, Mathieu; Urbanczik, Robert; Senn, Walter (2010). Reinforcement learning in dendritic structures. In: 7th Forum of European Neuroscience. Amsterdam, Netherlands. July 3-7, 2010.

Schiess, Mathieu; Urbanczik, Robert; Senn, Walter (2010). Reinforcement learning in dendritic structures. In: 6th Clinical Neuroscience Meeting Bern. Bern, Switzerland. November 29th 2010.

Schiess, Mathieu; Urbanczik, Robert; Senn, Walter (2010). Reinforcement learning in dendritic structures. In: 4th All-SystemsX.ch-Day. Geneva, Switzerland.

Senn, Walter (2009). Mathematisierung der Biologie: Mode oder Notwendigkeit? In: Rusterholz, Peter; Meyer Schweizer, Ruth; Zwahlen, Sara Margarita (eds.) Aktualität und Vergänglichkeit der Leitwissenschaften (pp. 97-118). Bern, Frankfurt a.M.: Lang

Vasilaki, E; Fusi, S; Wang, X.J.; Senn, Walter (2009). Learning flexible sensori-motor mappings in a complex network. Biological cybernetics, 100(2), pp. 147-58. Berlin: Springer-Verlag 10.1007/s00422-008-0288-z

Giugliano, M; La Camera, G; Fusi, S; Senn, Walter (2008). The response of cortical neurons to in vivo-like input current: theory and experiment II. Time-varying and spatially distributed inputs. Biological cybernetics, 99(4-5), pp. 303-318. Berlin: Springer 10.1007/s00422-008-0270-9

Kim, Y; Vladimirskiy, B B; Senn, Walter (2008). Modulating the granularity of category formation by global cortical states. Frontiers in computational neuroscience, 2(2), pp. 1-14. Lausanne: Frontiers Research Foundation 10.3389/neuro.10.001.2008

La Camera, G; Giugliano, M; Senn, Walter; Fusi, S (2008). The response of cortical neurons to in vivo-like input current: theoryand experiment I. Noisy inputs with stationary statistics. Biological cybernetics, 99(4-5), pp. 279-301. Berlin: Springer 10.1007/s00422-008-0272-7

Thurley, K; Senn, Walter; Lüscher, H R (2008). Dopamine increases the gain of the input-output response of rat prefrontal pyramidal neurons. Journal of neurophysiology, 99(6), pp. 2985-2997. Bethesda, Md.: American Physiological Society 10.1152/jn.01098.2007

Brader, Joseph M; Senn, Walter; Fusi, Stefano (2007). Learning real-world stimuli in a neural network with spike-driven synaptic dynamics. Neural computation, 19(11), pp. 2881-912. Cambridge, Mass.: MIT Press 10.1162/neco.2007.19.11.2881

Schäfer, Roland; Vasilaki, Eleni; Senn, Walter (2007). Perceptual Learning via Modification of Cortical Top-Down Signals. PLoS computational biology, 3(8), e165. San Francisco, Calif.: Public Library of Science 10.1371/journal.pcbi.0030165

Nyffeler, Thomas; Wurtz, Pascal; Lüscher, Hans-Rudolf; Hess, Christian W; Senn, Walter; Pflugshaupt, Tobias; von Wartburg, Roman; Lüthi, Mathias; Müri, René M (2006). Extending lifetime of plastic changes in the human brain. European journal of neuroscience, 24(10), pp. 2961-6. Oxford: Blackwell Science 10.1111/j.1460-9568.2006.05154.x

Nyffeler, Thomas; Wurtz, Pascal; Lüscher, Hans-Rudolf; Hess, Christian W; Senn, Walter; Pflugshaupt, Tobias; von Wartburg, Roman; Lüthi, Mathias; Müri, René M (2006). Repetitive TMS over the human oculomotor cortex: comparison of 1-Hz and theta burst stimulation. Neuroscience letters, 409(1), pp. 57-60. Amsterdam: Elsevier 10.1016/j.neulet.2006.09.011

La Camera, Giancarlo; Rauch, Alexander; Thurbon, David; Lüscher, Hans-R; Senn, Walter; Fusi, Stefano (2006). Multiple time scales of temporal response in pyramidal and fast spiking cortical neurons. Journal of neurophysiology, 96(6), pp. 3448-64. Bethesda, Md.: American Physiological Society 10.1152/jn.00453.2006

Fusi, Stefano; Senn, Walter (2006). Eluding oblivion with smart stochastic selection of synaptic updates. Chaos, 16(2), p. 26112. Melville, N.Y.: American Institute of Physics 10.1063/1.2213587

Senn, Walter; Fusi, Stefano (2005). Learning Only When Necessary: Better Memories of Correlated Patterns in Networks with Bounded Synapses. Neural computation, 17(10), pp. 2106-2138. MIT Press 10.1162/0899766054615644

Senn, Walter; Fusi, Stefano (2005). Convergence of stochastic learning in perceptrons with binary synapses. Physical review. E - statistical, nonlinear, and soft matter physics, 71(6 Pt 1), 061907. American Physical Society 10.1103/PhysRevE.71.061907

La Camera, Giancarlo; Rauch, Alexander; Lüscher, Hans-R.; Senn, Walter; Fusi, Stefano (2004). Minimal Models of Adapted Neuronal Response to In Vivo –Like Input Currents. Neural computation, 16(10), pp. 2101-2124. MIT Press 10.1162/0899766041732468

La Camera, Giancarlo; Senn, Walter; Fusi, Stefano (2004). Comparison between networks of conductance- and current-driven neurons: stationary spike rates and subthreshold depolarization. Neurocomputing, 58-60, pp. 253-258. Elsevier 10.1016/j.neucom.2004.01.052

Senn, Walter; Fusi, Stefano (2004). Slow stochastic learning with global inhibition: a biological solution to the binary perceptron problem. Neurocomputing, 58-60, pp. 321-326. Elsevier 10.1016/j.neucom.2004.01.062

Reutimann, Jan; Yakovlev, Volodya; Senn, Walter; Fusi, Stefano (2004). Climbing Neuronal Activity as an Event-Based Cortical Representation of Time. Journal of neuroscience, 24(13), pp. 3295-3303. Society for Neuroscience 10.1523/JNEUROSCI.4098-03.2004

Larkum, Matthew E.; Senn, Walter; Lüscher, Hans-R. (2004). Top-down Dendritic Input Increases the Gain of Layer 5 Pyramidal Neurons. Cerebral cortex, 14(10), pp. 1059-1070. Oxford University Press 10.1093/cercor/bhh065

Berger, Thomas; Senn, Walter; Lüscher, Hans-R. (2003). Hyperpolarization-Activated Current Ih Disconnects Somatic and Dendritic Spike Initiation Zones in Layer V Pyramidal Neurons. Journal of neurophysiology, 90(4), pp. 2428-2437. American Physiological Society 10.1152/jn.00377.2003

Rauch, Alexander; La Camera, Giancarlo; Lüscher, Hans-Rudolf; Senn, Walter; Fusi, Stefano (2003). Neocortical Pyramidal Cells Respond as Integrate-and-Fire Neurons to In Vivo–Like Input Currents. Journal of neurophysiology, 90(3), pp. 1598-1612. American Physiological Society 10.1152/jn.00293.2003

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

Senn, Walter (2002). Beyond spike timing: the role of nonlinear plasticity and unreliable synapses. Biological cybernetics, 87(5-6), pp. 344-355. Springer 10.1007/s00422-002-0350-1

Carandini, Matteo; Heeger, David J; Senn, Walter (2002). A Synaptic Explanation of Suppression in Visual Cortex. Journal of neuroscience, 22(22), pp. 10053-10065. Society for Neuroscience 10.1523/JNEUROSCI.22-22-10053.2002

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, Walter; Schneider, Martin; Ruf, Berthold (2002). Activity-Dependent Development of Axonal and Dendritic Delays, or, Why Synaptic Transmission Should Be Unreliable. Neural computation, 14(3), pp. 583-619. MIT Press 10.1162/089976602317250915

Reutimann, Jan; Fusi, Stefano; Senn, Walter; Yakovlev, Volodya; Zohary, Ehud (2001). A model of expectation effects in inferior temporal cortex. Neurocomputing, 38-40, pp. 1533-1540. Elsevier 10.1016/S0925-2312(01)00551-3

Buchs, Nissim J.; Senn, Walter (2001). Learning direction selectivity through spike-timing dependent modification of neurotransmitter release probability. Neurocomputing, 38-40, pp. 121-127. Elsevier 10.1016/S0925-2312(01)00547-1

Senn, Walter; Markram, Henry; Tsodyks, Misha (2001). An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing. Neural computation, 13(1), pp. 35-67. MIT Press 10.1162/089976601300014628

Tabak, Joël; Senn, Walter; O'Donovan, Michael J.; Rinzel, John (2000). Modeling of Spontaneous Activity in Developing Spinal Cord Using Activity-Dependent Depression in an Excitatory Network. Journal of neuroscience, 20(8), pp. 3041-3056. Society for Neuroscience 10.1523/JNEUROSCI.20-08-03041.2000

Senn, W. M. (1998). Equilibrium form of crystals and stable norm. Zeitschrift für angewandte Mathematik und Physik, 49(6), pp. 919-933. Birkhäuser 10.1007/s000330050130

Wannier, Thierry; Senn, Walter (1998). Recruitment of reticulospinal neurones and steady locomotion in lamprey. Neural networks, 11(6), pp. 1005-1015. Elsevier 10.1016/s0893-6080(98)00076-8

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. M. (1998). Phase-locking in the multidimensional Frenkel-Kontorova model. Mathematische Zeitschrift, 227(4), pp. 623-643. Springer 10.1007/PL00004396

Senn, Walter; Wyler, K.; Clamann, H.P.; Kleinle, J.; Lüscher, H.-R.; Müller, L. (1997). Size principle and information theory. Biological cybernetics, 76(1), pp. 11-22. Springer 10.1007/s004220050317

Kleinle, J.; Vogt, K.; Lüscher, H.-R.; Müller, L.; Senn, Walter; Wyler, K.; Streit, Jürg (1996). Transmitter concentration profiles in the synaptic cleft: an analytical model of release and diffusion. Biophysical journal, 71(5), pp. 2413-2426. Biophysical Society 10.1016/S0006-3495(96)79435-3

Senn, Walter; Wyler, K.; Streit, J.; Larkum, M.; Lüscher, H.-R.; Mey, H.; Müller, L.; Stainhauser, D.; Vogt, K.; Wannier, Th. (1996). Dynamics of a random neural network with synaptic depression. Neural networks, 9(4), pp. 575-588. Elsevier 10.1016/0893-6080(95)00109-3

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

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