Walter Senn

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 30

Top Topics

Backpropagation Algorithm

Spiking Neurons

Natural Gradient Learning

Top Venues

PLoS Comput. Biol.

Publications

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 (2024)
Kevin Max, Laura Kriener, Garibaldi Pineda García, Thomas Nowotny, Ismael Jaras, Walter Senn, Mihai A. Petrovici
Learning efficient backprojections across cortical hierarchies in real time. Nat. Mac. Intell. 6 (6) (2024)
Nicolas Deperrois, Mihai A. Petrovici, Walter Senn, Jakob Jordan
Learning beyond sensations: how dreams organize neuronal representations. CoRR (2023)
Arno Granier, Mihai A. Petrovici, Walter Senn, Katharina A. Wilmes
Precision estimation and second-order prediction errors in cortical circuits. CoRR (2023)
Kevin Max, Laura Kriener, Garibaldi Pineda García, Thomas Nowotny, Walter Senn, Mihai A. Petrovici
Learning efficient backprojections across cortical hierarchies in real time. CoRR (2022)
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)
Nicolas Deperrois, Mihai A. Petrovici, Walter Senn, Jakob Jordan
Memory semantization through perturbed and adversarial dreaming. CoRR (2021)
Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan
Evolving neuronal plasticity rules using cartesian genetic programming. GECCO Companion (2021)
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 (2021)
Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan
Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming. CoRR (2021)
Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici
Latent Equilibrium: Arbitrarily fast computation with arbitrarily slow neurons. NeurIPS (2021)
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) (2021)
Henrik D. Mettler, Virginie Sabado, Walter Senn, Mihai A. Petrovici, Jakob Jordan
Uncovering Neuronal Learning Principles through Artificial Evolution. ERCIM News 2021 (125) (2021)
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)
Jakob Jordan, Mihai A. Petrovici, Walter Senn, João Sacramento
Conductance-based dendrites perform reliability-weighted opinion pooling. NICE (2020)
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)
Elena Kreutzer, Mihai A. Petrovici, Walter Senn
Natural gradient learning for spiking neurons. NICE (2020)
Thomas Mesnard, Gaëtan Vignoud, João Sacramento, Walter Senn, Yoshua Bengio
Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks. CoRR (2019)
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 (2019)
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 (2019)
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 (2019)
João Sacramento, Rui Ponte Costa, Yoshua Bengio, Walter Senn
Dendritic error backpropagation in deep cortical microcircuits. CoRR (2018)
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 (2018)
João Sacramento, Rui Ponte Costa, Yoshua Bengio, Walter Senn
Dendritic cortical microcircuits approximate the backpropagation algorithm. NeurIPS (2018)
João Sacramento, Rui Ponte Costa, Yoshua Bengio, Walter Senn
Dendritic cortical microcircuits approximate the backpropagation algorithm. CoRR (2018)
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 (2017)
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) (2017)
Mathieu Schiess, Robert Urbanczik, Walter Senn
Somato-dendritic Synaptic Plasticity and Error-backpropagation in Active Dendrites. PLoS Comput. Biol. 12 (2) (2016)
Yoshua Bengio, Benjamin Scellier, Olexa Bilaniuk, João Sacramento, Walter Senn
Feedforward Initialization for Fast Inference of Deep Generative Networks is biologically plausible. CoRR (2016)
Johanni Brea, Alexisz Tamás Gaál, Robert Urbanczik, Walter Senn
Prospective Coding by Spiking Neurons. PLoS Comput. Biol. 12 (6) (2016)
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)
Johanni Brea, Robert Urbanczik, Walter Senn
A Normative Theory of Forgetting: Lessons from the Fruit Fly. PLoS Comput. Biol. 10 (6) (2014)
Torsten Lüdge, Robert Urbanczik, Walter Senn
Modulation of orientation-selective neurons by motion: when additive, when multiplicative? Frontiers Comput. Neurosci. 8 (2014)
Johannes Friedrich, Walter Senn
Spike-based Decision Learning of Nash Equilibria in Two-Player Games. PLoS Comput. Biol. 8 (9) (2012)
Johanni Brea, Walter Senn, Jean-Pascal Pfister
Sequence learning with hidden units in spiking neural networks. NIPS (2011)
Johannes Friedrich, Robert Urbanczik, Walter Senn
Spatio-Temporal Credit Assignment in Neuronal Population Learning. PLoS Comput. Biol. 7 (6) (2011)
Johannes Friedrich, Robert Urbanczik, Walter Senn
Learning Spike-Based Population Codes by Reward and Population Feedback. Neural Comput. 22 (7) (2010)
Boris B. Vladimirskiy, Eleni Vasilaki, Robert Urbanczik, Walter Senn
Stimulus sampling as an exploration mechanism for fast reinforcement learning. Biol. Cybern. 100 (4) (2009)
Roland Schäfer, Eleni Vasilaki, Walter Senn
Adaptive Gain Modulation in V1 Explains Contextual Modifications during Bisection Learning. PLoS Comput. Biol. 5 (12) (2009)
Eleni Vasilaki, Stefano Fusi, Xiao-Jing Wang, Walter Senn
Learning flexible sensori-motor mappings in a complex network. Biol. Cybern. 100 (2) (2009)
Robert Urbanczik, Walter Senn
A Gradient Learning Rule for the Tempotron. Neural Comput. 21 (2) (2009)
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)
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) (2008)
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) (2008)
Yihwa Kim, Boris B. Vladimirskiy, Walter Senn
Modulating the granularity of category formation by global cortical states. Frontiers Comput. Neurosci. 2 (2008)
Renaud Jolivet, Arnd Roth, Felix Schürmann, Wulfram Gerstner, Walter Senn
Special issue on quantitative neuron modeling. Biol. Cybern. 99 (4-5) (2008)
Christian Leibold, Walter Senn
Special issue on object localization. Biol. Cybern. 98 (6) (2008)
Roland Schäfer, Eleni Vasilaki, Walter Senn
Perceptual Learning via Modification of Cortical Top-Down Signals. PLoS Comput. Biol. 3 (8) (2007)
Joseph M. Brader, Walter Senn, Stefano Fusi
Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics. Neural Comput. 19 (11) (2007)
Walter Senn, Stefano Fusi
Learning Only When Necessary: Better Memories of Correlated Patterns in Networks with Bounded Synapses. Neural Comput. 17 (10) (2005)
Giancarlo La Camera, Walter Senn, Stefano Fusi
Comparison between networks of conductance- and current-driven neurons: stationary spike rates and subthreshold depolarization. Neurocomputing (2004)
Walter Senn, Stefano Fusi
Slow stochastic learning with global inhibition: a biological solution to the binary perceptron problem. Neurocomputing (2004)
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) (2004)
Walter Senn, Nissim J. Buchs
Spike-Based Synaptic Plasticity and the Emergence of Direction Selective Simple Cells: Mathematical Analysis. J. Comput. Neurosci. 14 (2) (2003)
Nissim J. Buchs, Walter Senn
Spike-Based Synaptic Plasticity and the Emergence of Direction Selective Simple Cells: Simulation Results. J. Comput. Neurosci. 13 (3) (2002)
Walter Senn
Beyond spike timing: the role of nonlinear plasticity and unreliable synapses. Biol. Cybern. 87 (5-6) (2002)
J. Leo van Hemmen, Walter Senn
Hebb in perspective. Biol. Cybern. 87 (5-6) (2002)
Giancarlo La Camera, Alexander Rauch, Walter Senn, Hans-Rudolf Lüscher, Stefano Fusi
Firing Rate Adaptation without Losing Sensitivity to Input Fluctuations. ICANN (2002)
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) (2002)
Giancarlo La Camera, Stefano Fusi, Walter Senn, Alexander Rauch, Hans-Rudolf Lüscher
When NMDA Receptor Conductances Increase Inter-spike Interval Variability. ICANN (2002)
Jan Reutimann, Stefano Fusi, Walter Senn, Volodya Yakovlev, Ehud Zohary
A model of expectation effects in inferior temporal cortex. Neurocomputing (2001)
Nissim J. Buchs, Walter Senn
Learning direction selectivity through spike-timing dependent modification of neurotransmitter release probability. Neurocomputing (2001)
Walter Senn, Henry Markram, Misha Tsodyks
An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing. Neural Comput. 13 (1) (2001)
Robert Urbanczik, Walter Senn
Similar NonLeaky Integrate-and-Fire Neurons with Instantaneous Couplings Always Synchronize. SIAM J. Appl. Math. 61 (4) (2001)
Joël Tabak, Walter Senn, Michael J. O'Donovan, John Rinzel
Comparison of two models for pattern generation based on synaptic depression. Neurocomputing (1999)
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) (1998)
Walter Senn, Idan Segev, Misha Tsodyks
Reading Neuronal Synchrony with Depressing Synapses. Neural Comput. 10 (4) (1998)
Thierry Wannier, Walter Senn
Recruitment of reticulospinal neurones and steady locomotion in lamprey. Neural Networks 11 (6) (1998)
Walter Senn, Kuno Wyler, H. P. Clamann, J. Kleinle, Hans-Rudolf Lüscher, L. Müller
Size principle and information theory. Biol. Cybern. 76 (1) (1997)
Walter Senn, Misha Tsodyks, Henry Markram
An Algorithm for Synaptic Modification Based on Exact Timing of Pre- and Post-Synaptic Action Potentials. ICANN (1997)
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) (1996)