Wulfram Gerstner

According to our database1, Wulfram Gerstner authored at least 121 papers between 1990 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
An Approximate Bayesian Approach to Surprise-Based Learning.
CoRR, 2019

Weight-space symmetry in deep networks gives rise to permutation saddles, connected by equal-loss valleys across the loss landscape.
CoRR, 2019

Biologically plausible deep learning - but how far can we go with shallow networks?
CoRR, 2019

2018
Excitable neuronal assemblies with adaptation as a building block of brain circuits for velocity-controlled signal propagation.
PLoS Computational Biology, 2018

Balancing New against Old Information: The Role of Puzzlement Surprise in Learning.
Neural Computation, 2018

Multi-Timescale Memory Dynamics Extend Task Repertoire in a Reinforcement Learning Network With Attention-Gated Memory.
Front. Comput. Neurosci., 2018

Learning to Generate Music with BachProp.
CoRR, 2018

BachProp: Learning to Compose Music in Multiple Styles.
CoRR, 2018

Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation.
CoRR, 2018

Non-Linear Motor Control by Local Learning in Spiking Neural Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

Efficient ModelBased Deep Reinforcement Learning with Variational State Tabulation.
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 Computational Biology, 2017

Exponentially Long Orbits in Hopfield Neural Networks.
Neural Computation, 2017

Cortical Dynamics in Presence of Assemblies of Densely Connected Weight-Hub Neurons.
Front. Comput. Neurosci., 2017

Non-linear motor control by local learning in spiking neural networks.
CoRR, 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 Computational Biology, 2016

Nonlinear Hebbian Learning as a Unifying Principle in Receptive Field Formation.
PLoS Computational Biology, 2016

Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity.
CoRR, 2016

Balancing New Against Old Information: The Role of Surprise.
CoRR, 2016

Algorithmic Composition of Melodies with Deep Recurrent Neural Networks.
CoRR, 2016

Nonlinear Hebbian learning as a unifying principle in receptive field formation.
CoRR, 2016

2015
Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models.
PLoS Computational Biology, 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.
Front. Neuroinform., 2014

Stochastic variational learning in recurrent spiking networks.
Front. Comput. Neurosci., 2014

Spike-timing prediction in cortical neurons with active dendrites.
Front. Comput. Neurosci., 2014

2013
Synaptic Plasticity in Neural Networks Needs Homeostasis with a Fast Rate Detector.
PLoS Computational Biology, 2013

Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons.
PLoS Computational Biology, 2013

2012
Paradoxical Evidence Integration in Rapid Decision Processes.
PLoS Computational Biology, 2012

Coding and Decoding with Adapting Neurons: A Population Approach to the Peri-Stimulus Time Histogram.
PLoS Computational Biology, 2012

2011
Improved Similarity Measures for Small Sets of Spike Trains.
Neural Computation, 2011

Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect?
Front. Comput. Neurosci., 2011

Variational Learning for Recurrent Spiking Networks.
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

From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models.
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

Spike-timing dependent plasticity.
Scholarpedia, 2010

STDP in Adaptive Neurons Gives Close-To-Optimal Information Transmission.
Front. 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
Adaptive exponential integrate-and-fire model.
Scholarpedia, 2009

Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail.
PLoS Computational Biology, 2009

Code-specific policy gradient rules for spiking neurons.
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
Spike-response model.
Scholarpedia, 2008

Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression.
PLoS Computational Biology, 2008

Gamma Oscillations in a Nonlinear Regime: A Minimal Model Approach Using Heterogeneous Integrate-and-Fire Networks.
Neural Computation, 2008

Firing patterns in the adaptive exponential integrate-and-fire model.
Biological Cybernetics, 2008

Phenomenological models of synaptic plasticity based on spike timing.
Biological Cybernetics, 2008

The quantitative single-neuron modeling competition.
Biological Cybernetics, 2008

Special issue on quantitative neuron modeling.
Biological Cybernetics, 2008

Extracting non-linear integrate-and-fire models from experimental data using dynamic I - V curves.
Biological Cybernetics, 2008

Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
Consciousness & the small network argument.
Neural Networks, 2007

Optimality Model of Unsupervised Spike-Timing-Dependent Plasticity: Synaptic Memory and Weight Distribution.
Neural Computation, 2007

Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments.
Neurocomputing, 2007

An online Hebbian learning rule that performs Independent Component Analysis.
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 Computation, 2006

Predicting spike timing of neocortical pyramidal neurons by simple threshold models.
Journal of Computational Neuroscience, 2006

Adaptive sensory processing for efficient place coding.
Neurocomputing, 2006

Dependence of the spike-triggered average voltage on membrane response properties.
Neurocomputing, 2006

Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005
Robust self-localisation and navigation based on hippocampal place cells.
Neural Networks, 2005

A computational model of parallel navigation systems in rodents.
Neuroinformatics, 2005

Synaptic Shot Noise and Conductance Fluctuations Affect the Membrane Voltage with Equal Significance.
Neural Computation, 2005

Short-Term Synaptic Plasticity Orchestrates the Response of Pyramidal Cells and Interneurons to Population Bursts.
Journal of Computational Neuroscience, 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

Integrate-and-Fire models with adaptation are good enough.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Spatial Representation and Navigation in a Bio-inspired Robot.
Proceedings of the Biomimetic Neural Learning for Intelligent Robots, 2005

A Bayesian kernel for the prediction of neuron properties from binary gene profiles.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Modelling Path Integrator Recalibration Using Hippocampal Place Cells.
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

Noninvasive brain-actuated control of a mobile robot by human EEG.
IEEE Trans. Biomed. Engineering, 2004

Brain-actuated interaction.
Artif. Intell., 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
Non-Invasive Brain-Actuated Control of a Mobile Robot.
Proceedings of the IJCAI-03, 2003

Optimal Hebbian Learning: A Probabilistic Point of View.
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

The Spike Response Model: A Framework to Predict Neuronal Spike Trains.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Stable Propagation of Activity Pulses in Populations of Spiking Neurons.
Neural Computation, 2002

Noise and the PSTH Response to Current Transients: II. Integrate-and-Fire Model with Slow Recovery and Application to Motoneuron Data.
Journal of Computational Neuroscience, 2002

Mathematical formulations of Hebbian learning.
Biological Cybernetics, 2002

Support Vector Features and the Role of Dimensionality in Face Authentication.
Proceedings of the Pattern Recognition with Support Vector Machines, 2002

Combining Multimodal Sensory Input for Spatial Learning.
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

Support Vector Representation of Multi-categorical Data.
Proceedings of the Artificial Neural Networks, 2002

Spiking Neuron Models: Single Neurons, Populations, Plasticity
Cambridge University Press, ISBN: 978-0-51181570-6, 2002

2001
Coding properties of spiking neurons: reverse and cross-correlations.
Neural Networks, 2001

Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning.
Neural Computation, 2001

Noise and the PSTH Response to Current Transients: I. General Theory and Application to the Integrate-and-Fire Neuron.
Journal of Computational Neuroscience, 2001

The accuracy of the population vector estimate in networks of integrate-and-fire type neurons using stationary and transient stimuli.
Neurocomputing, 2001

Spatial orientation in navigating agents: Modeling head-direction cells.
Neurocomputing, 2001

2000
Noise in Integrate-and-Fire Neurons: From Stochastic Input to Escape Rates.
Neural Computation, 2000

Population Dynamics of Spiking Neurons: Fast Transients, Asynchronous States, and Locking.
Neural Computation, 2000

Effect of correlations on signal transmission in a population of spiking neurons.
Neurocomputing, 2000

Escape rate models for noisy integrate-and-free neurons.
Neurocomputing, 2000

Effect of noise on neuron transient response.
Neurocomputing, 2000

Spatial cognition and neuro-mimetic navigation: a model of hippocampal place cell activity.
Biological Cybernetics, 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

Comparison of Face Verification Results on the XM2VTS Database.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
Noise Modulation by Stochastic Neurons of the Integrate-and Fire Type.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

1998
Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input.
Neural Computation, 1998

Spike-Based Compared to Rate-Based Hebbian Learning.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997
Reduction of the Hogkin-Huxley Equations to a Single-Variable Threshold Model.
Neural Computation, 1997

Learning Navigational Maps Through Potentiation and Modulation of Hippocampal Place Cells.
Journal of Computational Neuroscience, 1997

1996
What Matters in Neuronal Locking?
Neural Computation, 1996

Vertical signal flow and oscillations in a three-layer model of the cortex.
Journal of Computational Neuroscience, 1996

1995
Spontaneous excitations in the visual cortex: stripes, spirals, rings, and collective bursts.
Neural Computation, 1995

Temporal coding in the sub-millisecond range: Model of barn owl auditory pathway.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994
Emergence of spatiotemporal receptive fields and its application to motion detection.
Biological Cybernetics, 1994

A biologically motivated and analytically soluble model of collective oscillations in the cortex.
Biological Cybernetics, 1994

1993
A biologically motivated and analytically soluble model of collective oscillations in the cortex.
Biological Cybernetics, 1993

Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns.
Biological Cybernetics, 1993

How to Describe Neuronal Activity: Spikes, Rates, or Assemblies?
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992
Universality in neural networks: the importance of the 'mean firing rate'.
Biological Cybernetics, 1992

1990
Encoding and Decoding of Patterns which are Correlated in Space and Time.
Proceedings of the Konnektionismus in Artificial Intelligence und Kognitionsforschung. Proceedings 6. Österreichische Artificial Intelligence-Tagung (KONNAI), 1990

Associative Memory in a Network of 'Biological' Neurons.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990


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