Walter Senn
Orcid: 0000-0003-3622-0497Affiliations:
- University of Bern, Department of Physiology, Switzerland (PhD 1993)
According to our database1,
Walter Senn
authored at least 68 papers
between 1996 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
On csauthors.net:
Bibliography
2024
Order from chaos: Interplay of development and learning in recurrent networks of structured neurons.
CoRR, 2024
2023
CoRR, 2023
2022
Cortical oscillations support sampling-based computations in spiking neural networks.
PLoS Comput. Biol., 2022
CoRR, 2022
2021
Nat. Mach. Intell., 2021
ERCIM News, 2021
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
2020
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020
Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
2019
Neural Networks, 2019
CoRR, 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
Spiking neurons with short-term synaptic plasticity form superior generative networks.
CoRR, 2017
Spatial But Not Oculomotor Information Biases Perceptual Memory: Evidence From Face Perception and Cognitive Modeling.
Cogn. Sci., 2017
2016
PLoS Comput. Biol., 2016
Feedforward Initialization for Fast Inference of Deep Generative Networks is biologically plausible.
CoRR, 2016
2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
PLoS Comput. Biol., 2014
Code-Specific Learning Rules Improve Action Selection by Populations of Spiking Neurons.
Int. J. Neural Syst., 2014
Modulation of orientation-selective neurons by motion: when additive, when multiplicative?
Frontiers Comput. Neurosci., 2014
2012
PLoS Comput. Biol., 2012
2011
PLoS Comput. Biol., 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
2010
Neural Comput., 2010
2009
Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail.
PLoS Comput. Biol., 2009
Adaptive Gain Modulation in V1 Explains Contextual Modifications during Bisection Learning.
PLoS Comput. Biol., 2009
Biol. Cybern., 2009
2008
Frontiers Comput. Neurosci., 2008
The response of cortical neurons to in vivo-like input current: theory and experiment: II. Time-varying and spatially distributed inputs.
Biol. Cybern., 2008
The response of cortical neurons to in vivo-like input current: theory and experiment.
Biol. Cybern., 2008
2007
PLoS Comput. Biol., 2007
Neural Comput., 2007
2005
Learning Only When Necessary: Better Memories of Correlated Patterns in Networks with Bounded Synapses.
Neural Comput., 2005
2004
Neural Comput., 2004
Slow stochastic learning with global inhibition: a biological solution to the binary perceptron problem.
Neurocomputing, 2004
Comparison between networks of conductance- and current-driven neurons: stationary spike rates and subthreshold depolarization.
Neurocomputing, 2004
2003
Spike-Based Synaptic Plasticity and the Emergence of Direction Selective Simple Cells: Mathematical Analysis.
J. Comput. Neurosci., 2003
2002
Activity-Dependent Development of Axonal and Dendritic Delays, or, Why Synaptic Transmission Should Be Unreliable.
Neural Comput., 2002
Spike-Based Synaptic Plasticity and the Emergence of Direction Selective Simple Cells: Simulation Results.
J. Comput. Neurosci., 2002
Biol. Cybern., 2002
Proceedings of the Artificial Neural Networks, 2002
Proceedings of the Artificial Neural Networks, 2002
2001
Similar NonLeaky Integrate-and-Fire Neurons with Instantaneous Couplings Always Synchronize.
SIAM J. Appl. Math., 2001
An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing.
Neural Comput., 2001
Learning direction selectivity through spike-timing dependent modification of neurotransmitter release probability.
Neurocomputing, 2001
1999
Neurocomputing, 1999
1998
Neural Networks, 1998
Pattern Generation by Two Coupled Time-Discrete Neural Networks with Synaptic Depression.
Neural Comput., 1998
1997
An Algorithm for Synaptic Modification Based on Exact Timing of Pre- and Post-Synaptic Action Potentials.
Proceedings of the Artificial Neural Networks, 1997
1996