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ORCIDWalter Senn
Walter M. Senn
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- affiliation (PhD 1993): University of Bern, Department of Physiology, Switzerland
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Journal Articles
- 2022
[j43]Agnes Korcsak-Gorzo
, Michael G. Müller, Andreas Baumbach, Luziwei Leng, Oliver Julien Breitwieser, Sacha J. van Albada, Walter Senn, Karlheinz Meier, Robert Legenstein, Mihai A. Petrovici:
Cortical oscillations support sampling-based computations in spiking neural networks. PLoS Comput. Biol. 18(3) (2022)- 2021
- [j42]Julian Göltz, Laura Kriener, Andreas Baumbach, Sebastian Billaudelle, Oliver Breitwieser, Benjamin Cramer, Dominik Dold, Ákos F. Kungl, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Fast and energy-efficient neuromorphic deep learning with first-spike times. Nat. Mach. Intell. 3(9): 823-835 (2021) - 2019
- [j41]Dominik Dold, Ilja Bytschok, Ákos F. Kungl, Andreas Baumbach, Oliver Breitwieser, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Stochasticity from function - Why the Bayesian brain may need no noise. Neural Networks 119: 200-213 (2019) - 2017
- [j40]Andrea L. Wantz, Janek S. Lobmaier, Fred W. Mast, Walter Senn:
Spatial But Not Oculomotor Information Biases Perceptual Memory: Evidence From Face Perception and Cognitive Modeling. Cogn. Sci. 41(6): 1533-1554 (2017) - 2016
- [j39]Mathieu Schiess, Robert Urbanczik, Walter Senn:
Somato-dendritic Synaptic Plasticity and Error-backpropagation in Active Dendrites. PLoS Comput. Biol. 12(2) (2016) - [j38]Johanni Brea, Alexisz Tamás Gaál, Robert Urbanczik, Walter Senn:
Prospective Coding by Spiking Neurons. PLoS Comput. Biol. 12(6) (2016) - 2014
- [j37]Torsten Lüdge, Robert Urbanczik, Walter Senn:
Modulation of orientation-selective neurons by motion: when additive, when multiplicative? Frontiers Comput. Neurosci. 8: 67 (2014) - [j36]Johannes Friedrich, Robert Urbanczik, Walter Senn:
Code-Specific Learning Rules Improve Action Selection by Populations of Spiking Neurons. Int. J. Neural Syst. 24(5) (2014) - [j35]Johanni Brea, Robert Urbanczik, Walter Senn:
A Normative Theory of Forgetting: Lessons from the Fruit Fly. PLoS Comput. Biol. 10(6) (2014) - 2012
- [j34]Johannes Friedrich, Walter Senn:
Spike-based Decision Learning of Nash Equilibria in Two-Player Games. PLoS Comput. Biol. 8(9) (2012) - 2011
- [j33]Johannes Friedrich, Robert Urbanczik, Walter Senn:
Spatio-Temporal Credit Assignment in Neuronal Population Learning. PLoS Comput. Biol. 7(6) (2011) - 2010
- [j32]Johannes Friedrich, Robert Urbanczik, Walter Senn:
Learning Spike-Based Population Codes by Reward and Population Feedback. Neural Comput. 22(7): 1698-1717 (2010) - 2009
- [j31]Eleni Vasilaki, Stefano Fusi, Xiao-Jing Wang, Walter Senn:
Learning flexible sensori-motor mappings in a complex network. Biol. Cybern. 100(2): 147-158 (2009) - [j30]Boris B. Vladimirskiy, Eleni Vasilaki, Robert Urbanczik, Walter Senn:
Stimulus sampling as an exploration mechanism for fast reinforcement learning. Biol. Cybern. 100(4): 319-330 (2009) - [j29]Robert Urbanczik, Walter Senn:
A Gradient Learning Rule for the Tempotron. Neural Comput. 21(2): 340-352 (2009) - [j28]Roland Schäfer, Eleni Vasilaki, Walter Senn:
Adaptive Gain Modulation in V1 Explains Contextual Modifications during Bisection Learning. PLoS Comput. Biol. 5(12) (2009) - [j27]Eleni Vasilaki, Nicolas Frémaux, Robert Urbanczik, Walter Senn, Wulfram Gerstner:
Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail. PLoS Comput. Biol. 5(12) (2009) - 2008
- [j26]Christian Leibold, Walter Senn:
Special issue on object localization. Biol. Cybern. 98(6): 447 (2008) - [j25]Renaud Jolivet, Arnd Roth, Felix Schürmann, Wulfram Gerstner, Walter Senn:
Special issue on quantitative neuron modeling. Biol. Cybern. 99(4-5): 237-239 (2008) - [j24]Giancarlo La Camera, Michele Giugliano, Walter Senn, Stefano Fusi:
The response of cortical neurons to in vivo-like input current: theory and experiment. Biol. Cybern. 99(4-5): 279-301 (2008) - [j23]Michele Giugliano, Giancarlo La Camera, Stefano Fusi, Walter Senn:
The response of cortical neurons to in vivo-like input current: theory and experiment: II. Time-varying and spatially distributed inputs. Biol. Cybern. 99(4-5): 303-318 (2008) - [j22]Yihwa Kim, Boris B. Vladimirskiy, Walter Senn:
Modulating the granularity of category formation by global cortical states. Frontiers Comput. Neurosci. 2: 1 (2008) - 2007
- [j21]Joseph M. Brader, Walter Senn, Stefano Fusi:
Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics. Neural Comput. 19(11): 2881-2912 (2007) - [j20]Roland Schäfer, Eleni Vasilaki, Walter Senn:
Perceptual Learning via Modification of Cortical Top-Down Signals. PLoS Comput. Biol. 3(8) (2007) - 2005
- [j19]Walter Senn, Stefano Fusi:
Learning Only When Necessary: Better Memories of Correlated Patterns in Networks with Bounded Synapses. Neural Comput. 17(10): 2106-2138 (2005) - 2004
- [j18]Giancarlo La Camera, Walter Senn, Stefano Fusi:
Comparison between networks of conductance- and current-driven neurons: stationary spike rates and subthreshold depolarization. Neurocomputing 58-60: 253-258 (2004) - [j17]Walter Senn, Stefano Fusi:
Slow stochastic learning with global inhibition: a biological solution to the binary perceptron problem. Neurocomputing 58-60: 321-326 (2004) - [j16]Giancarlo La Camera, Alexander Rauch, Hans-Rudolf Lüscher, Walter Senn, Stefano Fusi:
Minimal Models of Adapted Neuronal Response to In Vivo-Like Input Currents. Neural Comput. 16(10): 2101-2124 (2004) - 2003
- [j15]Walter Senn, Nissim J. Buchs:
Spike-Based Synaptic Plasticity and the Emergence of Direction Selective Simple Cells: Mathematical Analysis. J. Comput. Neurosci. 14(2): 119-138 (2003) - 2002
- [j14]J. Leo van Hemmen, Walter Senn:
Hebb in perspective. Biol. Cybern. 87(5-6): 317-318 (2002) - [j13]Walter Senn:
Beyond spike timing: the role of nonlinear plasticity and unreliable synapses. Biol. Cybern. 87(5-6): 344-355 (2002) - [j12]Nissim J. Buchs, Walter Senn:
Spike-Based Synaptic Plasticity and the Emergence of Direction Selective Simple Cells: Simulation Results. J. Comput. Neurosci. 13(3): 167-186 (2002) - [j11]Walter Senn, Martin Schneider, Berthold Ruf:
Activity-Dependent Development of Axonal and Dendritic Delays, or, Why Synaptic Transmission Should Be Unreliable. Neural Comput. 14(3): 583-619 (2002) - 2001
- [j10]Nissim J. Buchs, Walter Senn:
Learning direction selectivity through spike-timing dependent modification of neurotransmitter release probability. Neurocomputing 38-40: 121-127 (2001) - [j9]Jan Reutimann, Stefano Fusi, Walter Senn, Volodya Yakovlev, Ehud Zohary:
A model of expectation effects in inferior temporal cortex. Neurocomputing 38-40: 1533-1540 (2001) - [j8]Walter Senn, Henry Markram, Misha Tsodyks:
An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing. Neural Comput. 13(1): 35-67 (2001) - [j7]Robert Urbanczik, Walter Senn:
Similar NonLeaky Integrate-and-Fire Neurons with Instantaneous Couplings Always Synchronize. SIAM J. Appl. Math. 61(4): 1143-1155 (2001) - 1999
- [j6]Joël Tabak, Walter Senn, Michael J. O'Donovan, John Rinzel:
Comparison of two models for pattern generation based on synaptic depression. Neurocomputing 26-27: 551-556 (1999) - 1998
- [j5]Walter Senn, Idan Segev, Misha Tsodyks:
Reading Neuronal Synchrony with Depressing Synapses. Neural Comput. 10(4): 815-819 (1998) - [j4]Walter Senn, Thierry Wannier, J. Kleinle, Hans-Rudolf Lüscher, L. Müller, Jürg Streit, Kuno Wyler:
Pattern Generation by Two Coupled Time-Discrete Neural Networks with Synaptic Depression. Neural Comput. 10(5): 1251-1275 (1998) - [j3]Thierry Wannier, Walter Senn:
Recruitment of reticulospinal neurones and steady locomotion in lamprey. Neural Networks 11(6): 1005-1015 (1998) - 1997
- [j2]Walter Senn, Kuno Wyler, H. P. Clamann, J. Kleinle, Hans-Rudolf Lüscher, L. Müller:
Size principle and information theory. Biol. Cybern. 76(1): 11-22 (1997) - 1996
- [j1]Walter Senn, Kuno Wyler, Jürg Streit, Matthew E. Larkum, Hans-Rudolf Lüscher, H. Mey, L. Müller, Daniel Stainhauser, K. Vogt, Thierry Wannier:
Dynamics of a random neural network with synaptic depression. Neural Networks 9(4): 575-588 (1996)
Conference and Workshop Papers
- 2021
- [c11]Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan:
Evolving neuronal plasticity rules using cartesian genetic programming. GECCO Companion 2021: 285-286 - [c10]Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici:
Latent Equilibrium: Arbitrarily fast computation with arbitrarily slow neurons. NeurIPS 2021: 17839-17851 - 2020
- [c9]Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos Ferenc Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier:
Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. ISCAS 2020: 1-5 - [c8]Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos Ferenc Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier:
Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. ISCAS 2020: 1 - [c7]Jakob Jordan, Mihai A. Petrovici, Walter Senn, João Sacramento:
Conductance-based dendrites perform reliability-weighted opinion pooling. NICE 2020: 11:1-11:3 - [c6]Elena Kreutzer, Mihai A. Petrovici, Walter Senn:
Natural gradient learning for spiking neurons. NICE 2020: 15:1-15:3 - 2018
- [c5]João Sacramento, Rui Ponte Costa, Yoshua Bengio, Walter Senn:
Dendritic cortical microcircuits approximate the backpropagation algorithm. NeurIPS 2018: 8735-8746 - 2011
- [c4]Johanni Brea, Walter Senn, Jean-Pascal Pfister:
Sequence learning with hidden units in spiking neural networks. NIPS 2011: 1422-1430 - 2002
- [c3]Giancarlo La Camera, Alexander Rauch, Walter Senn, Hans-Rudolf Lüscher, Stefano Fusi:
Firing Rate Adaptation without Losing Sensitivity to Input Fluctuations. ICANN 2002: 180-185 - [c2]Giancarlo La Camera, Stefano Fusi, Walter Senn, Alexander Rauch, Hans-Rudolf Lüscher:
When NMDA Receptor Conductances Increase Inter-spike Interval Variability. ICANN 2002: 235-240 - 1997
- [c1]Walter Senn, Misha Tsodyks, Henry Markram:
An Algorithm for Synaptic Modification Based on Exact Timing of Pre- and Post-Synaptic Action Potentials. ICANN 1997: 121-126
Reference Works
- 2014
- [r2]Walter Senn, Jean-Pascal Pfister:
Reinforcement Learning in Cortical Networks. Encyclopedia of Computational Neuroscience 2014 - [r1]Walter Senn, Jean-Pascal Pfister:
Spike-Timing-Dependent Plasticity, Learning Rules. Encyclopedia of Computational Neuroscience 2014
Informal and Other Publications
- 2024
- [i17]Laura Kriener, Kristin Völk, Ben von Hünerbein, Federico Benitez, Walter Senn, Mihai A. Petrovici:
Order from chaos: Interplay of development and learning in recurrent networks of structured neurons. CoRR abs/2402.16763 (2024) - 2023
- [i16]Nicolas Deperrois, Mihai A. Petrovici, Walter Senn, Jakob Jordan:
Learning beyond sensations: how dreams organize neuronal representations. CoRR abs/2308.01830 (2023) - [i15]Arno Granier, Mihai A. Petrovici, Walter Senn, Katharina A. Wilmes:
Precision estimation and second-order prediction errors in cortical circuits. CoRR abs/2309.16046 (2023) - 2022
- [i14]Kevin Max, Laura Kriener, Garibaldi Pineda García, Thomas Nowotny, Walter Senn, Mihai A. Petrovici:
Learning efficient backprojections across cortical hierarchies in real time. CoRR abs/2212.10249 (2022) - 2021
- [i13]Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan:
Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming. CoRR abs/2102.04312 (2021) - [i12]Nicolas Deperrois, Mihai A. Petrovici, Walter Senn, Jakob Jordan:
Memory semantization through perturbed and adversarial dreaming. CoRR abs/2109.04261 (2021) - [i11]Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici:
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons. CoRR abs/2110.14549 (2021) - [i10]Henrik D. Mettler, Virginie Sabado, Walter Senn, Mihai A. Petrovici, Jakob Jordan:
Uncovering Neuronal Learning Principles through Artificial Evolution. ERCIM News 2021(125) (2021) - 2020
- [i9]Elena Kreutzer, Walter M. Senn, Mihai A. Petrovici:
Natural-gradient learning for spiking neurons. CoRR abs/2011.11710 (2020) - 2019
- [i8]Thomas Mesnard, Gaëtan Vignoud, João Sacramento, Walter Senn, Yoshua Bengio:
Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks. CoRR abs/1911.08585 (2019) - [i7]Julian Göltz, Andreas Baumbach, Sebastian Billaudelle, Oliver Breitwieser, Dominik Dold, Laura Kriener, Ákos Ferenc Kungl, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Fast and deep neuromorphic learning with time-to-first-spike coding. CoRR abs/1912.11443 (2019) - [i6]Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian Göltz, Ákos F. Kungl, Timo C. Wunderlich, Andreas Hartel, Eric Müller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas Grübl, David Stöckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier:
Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate. CoRR abs/1912.12980 (2019) - 2018
- [i5]João Sacramento, Rui Ponte Costa, Yoshua Bengio, Walter Senn:
Dendritic error backpropagation in deep cortical microcircuits. CoRR abs/1801.00062 (2018) - [i4]Dominik Dold, Ilja Bytschok, Ákos F. Kungl, Andreas Baumbach, Oliver Breitwieser, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Stochasticity from function - why the Bayesian brain may need no noise. CoRR abs/1809.08045 (2018) - [i3]João Sacramento, Rui Ponte Costa, Yoshua Bengio, Walter Senn:
Dendritic cortical microcircuits approximate the backpropagation algorithm. CoRR abs/1810.11393 (2018) - 2017
- [i2]Luziwei Leng, Roman Martel, Oliver Breitwieser, Ilja Bytschok, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Spiking neurons with short-term synaptic plasticity form superior generative networks. CoRR abs/1709.08166 (2017) - 2016
- [i1]Yoshua Bengio, Benjamin Scellier, Olexa Bilaniuk, João Sacramento, Walter Senn:
Feedforward Initialization for Fast Inference of Deep Generative Networks is biologically plausible. CoRR abs/1606.01651 (2016)
Coauthor Index
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