Wulfram Gerstner
Orcid: 0000-0002-4344-2189Affiliations:
- Swiss Federal Institute of Technology in Lausanne, Switzerland
According to our database1,
Wulfram Gerstner
authored at least 148 papers
between 1990 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
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on id.loc.gov
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on d-nb.info
On csauthors.net:
Bibliography
2024
Learning what matters: Synaptic plasticity with invariance to second-order input correlations.
PLoS Comput. Biol., February, 2024
PLoS Comput. Biol., February, 2024
Corrigendum to 'An exact mapping from ReLU networks to spiking neural networks' [Neural Networks Volume 168 (2023) Pages 74-88].
Neural Networks, January, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
PLoS Comput. Biol., December, 2023
Neural Networks, November, 2023
CoRR, 2023
MLPGradientFlow: going with the flow of multilayer perceptrons (and finding minima fast and accurately).
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023
2022
Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making.
NeuroImage, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making.
PLoS Comput. Biol., 2021
When shared concept cells support associations: Theory of overlapping memory engrams.
PLoS Comput. Biol., 2021
Neural Comput., 2021
Local plasticity rules can learn deep representations using self-supervised contrastive predictions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Fitting summary statistics of neural data with a differentiable spiking network simulator.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances.
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
PLoS Comput. Biol., 2020
Towards truly local gradients with CLAPP: Contrastive, Local And Predictive Plasticity.
CoRR, 2020
2019
Stability of working memory in continuous attractor networks under the control of short-term plasticity.
PLoS Comput. Biol., 2019
How single neuron properties shape chaotic dynamics and signal transmission in random neural networks.
PLoS Comput. Biol., 2019
Neural Networks, 2019
Frontiers Comput. Neurosci., 2019
Working memory facilitates reward-modulated Hebbian learning in recurrent neural networks.
CoRR, 2019
Weight-space symmetry in deep networks gives rise to permutation saddles, connected by equal-loss valleys across the loss landscape.
CoRR, 2019
2018
Excitable neuronal assemblies with adaptation as a building block of brain circuits for velocity-controlled signal propagation.
PLoS Comput. Biol., 2018
Neural Comput., 2018
Multi-Timescale Memory Dynamics Extend Task Repertoire in a Reinforcement Learning Network With Attention-Gated Memory.
Frontiers Comput. Neurosci., 2018
CoRR, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
Biological Learning: Synaptic Plasticity, Hebb Rule and Spike Timing Dependent Plasticity.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size.
PLoS Comput. Biol., 2017
Frontiers Comput. Neurosci., 2017
Multi-timescale memory dynamics in a reinforcement learning network with attention-gated memory.
CoRR, 2017
Predicting non-linear dynamics: a stable local learning scheme for recurrent spiking neural networks.
CoRR, 2017
Deep Artificial Composer: A Creative Neural Network Model for Automated Melody Generation.
Proceedings of the Computational Intelligence in Music, Sound, Art and Design, 2017
2016
Enhanced Sensitivity to Rapid Input Fluctuations by Nonlinear Threshold Dynamics in Neocortical Pyramidal Neurons.
PLoS Comput. Biol., 2016
PLoS Comput. Biol., 2016
Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity.
CoRR, 2016
2015
Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models.
PLoS Comput. Biol., 2015
Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze-like Environments.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
2014
Limits to high-speed simulations of spiking neural networks using general-purpose computers.
Frontiers Neuroinformatics, 2014
Frontiers Comput. Neurosci., 2014
Frontiers Comput. Neurosci., 2014
2013
PLoS Comput. Biol., 2013
Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons.
PLoS Comput. Biol., 2013
2012
PLoS Comput. Biol., 2012
Coding and Decoding with Adapting Neurons: A Population Approach to the Peri-Stimulus Time Histogram.
PLoS Comput. Biol., 2012
2011
Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect?
Frontiers Comput. Neurosci., 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
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
Neural pre-coding increases the pattern retrieval capacity of Hopfield and Bidirectional Associative Memories.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
2010
Biological Learning: Synaptic Plasticity, Hebb Rule and Spike TimingDependent Plasticity.
Proceedings of the Encyclopedia of Machine Learning, 2010
Frontiers Comput. Neurosci., 2010
Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
2009
Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail.
PLoS Comput. Biol., 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
2008
Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression.
PLoS Comput. Biol., 2008
Gamma Oscillations in a Nonlinear Regime: A Minimal Model Approach Using Heterogeneous Integrate-and-Fire Networks.
Neural Comput., 2008
Biol. Cybern., 2008
Biol. Cybern., 2008
Extracting non-linear integrate-and-fire models from experimental data using dynamic <i>I</i> - <i>V</i> curves.
Biol. Cybern., 2008
Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
2007
Optimality Model of Unsupervised Spike-Timing-Dependent Plasticity: Synaptic Memory and Weight Distribution.
Neural Comput., 2007
Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments.
Neurocomputing, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
2006
Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning.
Neural Comput., 2006
J. Comput. Neurosci., 2006
Neurocomputing, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
2005
Neural Networks, 2005
Neuroinformatics, 2005
Synaptic Shot Noise and Conductance Fluctuations Affect the Membrane Voltage with Equal Significance.
Neural Comput., 2005
Short-Term Synaptic Plasticity Orchestrates the Response of Pyramidal Cells and Interneurons to Population Bursts.
J. Comput. Neurosci., 2005
Subthreshold cross-correlations between cortical neurons: A reference model with static synapses.
Neurocomputing, 2005
Competition between cue response and place response: a model of rat navigation behaviour.
Connect. Sci., 2005
Beyond Pair-Based STDP: a Phenomenological Rule for Spike Triplet and Frequency Effects.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Proceedings of the Biomimetic Neural Learning for Intelligent Robots, 2005
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005
2004
Cognitive navigation based on nonuniform Gabor space sampling, unsupervised growing networks, and reinforcement learning.
IEEE Trans. Neural Networks, 2004
IEEE Trans. Biomed. Eng., 2004
Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
2003
Proceedings of the IJCAI-03, 2003
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
Online Processing of Multiple Inputs in a Sparsely-Connected Recurrent Neural Network.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
2002
Neural Comput., 2002
Noise and the PSTH Response to Current Transients: II. Integrate-and-Fire Model with Slow Recovery and Application to Motoneuron Data.
J. Comput. Neurosci., 2002
Proceedings of the Pattern Recognition with Support Vector Machines, 2002
Proceedings of the Artificial Neural Networks, 2002
Dynamic Noise Annealing for Learning Temporal Sequences with Recurrent Neural Networks.
Proceedings of the Artificial Neural Networks, 2002
Proceedings of the Artificial Neural Networks, 2002
Cambridge University Press, ISBN: 978-0-51181570-6, 2002
2001
Neural Networks, 2001
Neural Comput., 2001
Noise and the PSTH Response to Current Transients: I. General Theory and Application to the Integrate-and-Fire Neuron.
J. Comput. Neurosci., 2001
The accuracy of the population vector estimate in networks of integrate-and-fire type neurons using stationary and transient stimuli.
Neurocomputing, 2001
Neurocomputing, 2001
2000
Neural Comput., 2000
Population Dynamics of Spiking Neurons: Fast Transients, Asynchronous States, and Locking.
Neural Comput., 2000
Neurocomputing, 2000
Spatial cognition and neuro-mimetic navigation: a model of hippocampal place cell activity.
Biol. Cybern., 2000
Place Cells and Spatial Navigation Based on 2D Visual Feature Extraction, Path Integration, and Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000
Proceedings of the 15th International Conference on Pattern Recognition, 2000
1999
Proceedings of the Foundations and Tools for Neural Modeling, 1999
1998
Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input.
Neural Comput., 1998
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998
1997
Neural Comput., 1997
Learning Navigational Maps Through Potentiation and Modulation of Hippocampal Place Cells.
J. Comput. Neurosci., 1997
1996
J. Comput. Neurosci., 1996
1995
Spontaneous excitations in the visual cortex: stripes, spirals, rings, and collective bursts.
Neural Comput., 1995
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
1994
Emergence of spatiotemporal receptive fields and its application to motion detection.
Biol. Cybern., 1994
A biologically motivated and analytically soluble model of collective oscillations in the cortex.
Biol. Cybern., 1994
1993
A biologically motivated and analytically soluble model of collective oscillations in the cortex.
Biol. Cybern., 1993
Biol. Cybern., 1993
Proceedings of the Advances in Neural Information Processing Systems 6, 1993
1992
Biol. Cybern., 1992
1990
Proceedings of the Konnektionismus in Artificial Intelligence und Kognitionsforschung. Proceedings 6. Österreichische Artificial Intelligence-Tagung (KONNAI), 1990
Proceedings of the Advances in Neural Information Processing Systems 3, 1990