Associative Memory in a Network of 'Biological' Neurons. - Wulfram Gerstner (NIPS, 1990)

Encoding and Decoding of Patterns which are Correlated in Space and Time. - J. Leo van Hemmen; Wulfram Gerstner; Andreas V. M. Herz; Reimer Kühn; B. Sulzer; M. Vaas (ÖGAI, 1990)

Universality in neural networks: the importance of the 'mean firing rate'. - Wulfram Gerstner; J. Leo van Hemmen (Biol. Cybern., 1992)

How to Describe Neuronal Activity: Spikes, Rates, or Assemblies? - Wulfram Gerstner; J. Leo van Hemmen (NIPS, 1993)

Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns. - Wulfram Gerstner; Raphael Ritz; J. Leo van Hemmen (Biol. Cybern., 1993)

A biologically motivated and analytically soluble model of collective oscillations in the cortex. - Wulfram Gerstner; Raphael Ritz; J. Leo van Hemmen (Biol. Cybern., 1993)

A biologically motivated and analytically soluble model of collective oscillations in the cortex. - Raphael Ritz; Wulfram Gerstner; Ursula Fuentes; J. Leo van Hemmen (Biol. Cybern., 1994)

Emergence of spatiotemporal receptive fields and its application to motion detection. - Stefan Wimbauer; Wulfram Gerstner; J. Leo van Hemmen (Biol. Cybern., 1994)

Temporal coding in the sub-millisecond range: Model of barn owl auditory pathway. - Richard Kempter; Wulfram Gerstner; J. Leo van Hemmen; Hermann Wagner (NIPS, 1995)

Spontaneous excitations in the visual cortex: stripes, spirals, rings, and collective bursts. - C. Fohlmeister; Wulfram Gerstner; Raphael Ritz; J. Leo van Hemmen (Neural Comput., 1995)

Vertical signal flow and oscillations in a three-layer model of the cortex. - Ursula Fuentes; Raphael Ritz; Wulfram Gerstner; J. Leo van Hemmen (J. Comput. Neurosci., 1996)

What Matters in Neuronal Locking? - Wulfram Gerstner; J. Leo van Hemmen; Jack D. Cowan (Neural Comput., 1996)

Learning Navigational Maps Through Potentiation and Modulation of Hippocampal Place Cells. - Wulfram Gerstner; L. F. Abbott (J. Comput. Neurosci., 1997)

Reduction of the Hogkin-Huxley Equations to a Single-Variable Threshold Model. - Werner M. Kistler; Wulfram Gerstner; J. Leo van Hemmen (Neural Comput., 1997)

Spike-Based Compared to Rate-Based Hebbian Learning. - Richard Kempter; Wulfram Gerstner; J. Leo van Hemmen (NIPS, 1998)

Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input. - Richard Kempter; Wulfram Gerstner; J. Leo van Hemmen; Hermann Wagner (Neural Comput., 1998)

Noise Modulation by Stochastic Neurons of the Integrate-and Fire Type. - Mona Spiridon; Wulfram Gerstner (IWANN (1), 1999)

Comparison of Face Verification Results on the XM2VTS Database. - Jiri Matas; Miroslav Hamouz; Kenneth Jonsson; Josef Kittler; Yongping Li; Constantine Kotropoulos; Anastasios Tefas; Ioannis Pitas; Teewoon Tan; Hong Yan 001; Fabrizio Smeraldi; N. Capdevielle; et al. (ICPR, 2000)

Place Cells and Spatial Navigation Based on 2D Visual Feature Extraction, Path Integration, and Reinforcement Learning. - Angelo Arleo; Fabrizio Smeraldi; Stéphane Hug; Wulfram Gerstner (NIPS, 2000)

Spatial cognition and neuro-mimetic navigation: a model of hippocampal place cell activity. - Angelo Arleo; Wulfram Gerstner (Biol. Cybern., 2000)

Effect of noise on neuron transient response. - Alix Herrmann; Wulfram Gerstner (Neurocomputing, 2000)

Escape rate models for noisy integrate-and-free neurons. - Hans E. Plesser; Wulfram Gerstner (Neurocomputing, 2000)

Effect of correlations on signal transmission in a population of spiking neurons. - Mona Spiridon; Carson C. Chow; Wulfram Gerstner (Neurocomputing, 2000)

Population Dynamics of Spiking Neurons: Fast Transients, Asynchronous States, and Locking. - Wulfram Gerstner (Neural Comput., 2000)

Noise in Integrate-and-Fire Neurons: From Stochastic Input to Escape Rates. - Hans E. Plesser; Wulfram Gerstner (Neural Comput., 2000)

Spatial orientation in navigating agents: Modeling head-direction cells. - Angelo Arleo; Wulfram Gerstner (Neurocomputing, 2001)

The accuracy of the population vector estimate in networks of integrate-and-fire type neurons using stationary and transient stimuli. - Mona Spiridon; Wulfram Gerstner (Neurocomputing, 2001)

Noise and the PSTH Response to Current Transients: I. General Theory and Application to the Integrate-and-Fire Neuron. - Alix Herrmann; Wulfram Gerstner (J. Comput. Neurosci., 2001)

Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning. - Richard Kempter; Wulfram Gerstner; J. Leo van Hemmen (Neural Comput., 2001)

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

Spiking Neuron Models: Single Neurons, Populations, Plasticity - Wulfram Gerstner; Werner M. Kistler (Cambridge University Press, 2002)

Support Vector Representation of Multi-categorical Data. - Silvio Borer; Wulfram Gerstner (ICANN, 2002)

Dynamic Noise Annealing for Learning Temporal Sequences with Recurrent Neural Networks. - Pierre-Edouard Sottas; Wulfram Gerstner (ICANN, 2002)

Combining Multimodal Sensory Input for Spatial Learning. - Thomas Strösslin; Christophe Krebser; Angelo Arleo; Wulfram Gerstner (ICANN, 2002)

Support Vector Features and the Role of Dimensionality in Face Authentication. - Fabrizio Smeraldi; Josef Bigün; Wulfram Gerstner (SVM, 2002)

Mathematical formulations of Hebbian learning. - Wulfram Gerstner; Werner M. Kistler (Biol. Cybern., 2002)

Noise and the PSTH Response to Current Transients: II. Integrate-and-Fire Model with Slow Recovery and Application to Motoneuron Data. - Alix Herrmann; Wulfram Gerstner (J. Comput. Neurosci., 2002)

Stable Propagation of Activity Pulses in Populations of Spiking Neurons. - Werner M. Kistler; Wulfram Gerstner (Neural Comput., 2002)

The Spike Response Model: A Framework to Predict Neuronal Spike Trains. - Renaud Jolivet; Timothy J. Lewis; Wulfram Gerstner (ICANN, 2003)

Online Processing of Multiple Inputs in a Sparsely-Connected Recurrent Neural Network. - Julien Mayor; Wulfram Gerstner (ICANN, 2003)

Optimal Hebbian Learning: A Probabilistic Point of View. - Jean-Pascal Pfister; David Barber; Wulfram Gerstner (ICANN, 2003)

Non-Invasive Brain-Actuated Control of a Mobile Robot. - José del R. Millán; Frédéric Renkens; Josep Mouriño; Wulfram Gerstner (IJCAI, 2003)

Combining visual and proprioceptive information in a model of spatial learning and navigation. - Ricardo Chavarriaga; Wulfram Gerstner (IJCNN, 2004)

Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model. - Taro Toyoizumi; Jean-Pascal Pfister; Kazuyuki Aihara; Wulfram Gerstner (NIPS, 2004)

Brain-actuated interaction. - José del R. Millán; Frédéric Renkens; Josep Mouriño; Wulfram Gerstner (Artif. Intell., 2004)

Noninvasive brain-actuated control of a mobile robot by human EEG. - José del R. Millán; Frédéric Renkens; Josep Mouriño; Wulfram Gerstner (IEEE Trans. Biomed. Eng., 2004)

Cognitive navigation based on nonuniform Gabor space sampling, unsupervised growing networks, and reinforcement learning. - Angelo Arleo; Fabrizio Smeraldi; Wulfram Gerstner (IEEE Trans. Neural Networks, 2004)

Modelling Path Integrator Recalibration Using Hippocampal Place Cells. - Thomas Strösslin; Ricardo Chavarriaga; Denis Sheynikhovich; Wulfram Gerstner (ICANN (1), 2005)

A Bayesian kernel for the prediction of neuron properties from binary gene profiles. - François Fleuret; Wulfram Gerstner (ICMLA, 2005)

Spatial Representation and Navigation in a Bio-inspired Robot. - Denis Sheynikhovich; Ricardo Chavarriaga; Thomas Strösslin; Wulfram Gerstner (Biomimetic Neural Learning for Intelligent Robots, 2005)

Integrate-and-Fire models with adaptation are good enough. - Renaud Jolivet; Alexander Rauch; Hans-Rudolf Lüscher; Wulfram Gerstner (NIPS, 2005)

Beyond Pair-Based STDP: a Phenomenological Rule for Spike Triplet and Frequency Effects. - Jean-Pascal Pfister; Wulfram Gerstner (NIPS, 2005)

Competition between cue response and place response: a model of rat navigation behaviour. - Ricardo Chavarriaga; Thomas Strösslin; Denis Sheynikhovich; Wulfram Gerstner (Connect. Sci., 2005)

Subthreshold cross-correlations between cortical neurons: A reference model with static synapses. - Ofer Melamed; Gilad Silberberg; Henry Markram; Wulfram Gerstner; Magnus J. E. Richardson (Neurocomputing, 2005)

Short-Term Synaptic Plasticity Orchestrates the Response of Pyramidal Cells and Interneurons to Population Bursts. - Magnus J. E. Richardson; Ofer Melamed; Gilad Silberberg; Wulfram Gerstner; Henry Markram (J. Comput. Neurosci., 2005)

Synaptic Shot Noise and Conductance Fluctuations Affect the Membrane Voltage with Equal Significance. - Magnus J. E. Richardson; Wulfram Gerstner (Neural Comput., 2005)

A computational model of parallel navigation systems in rodents. - Ricardo Chavarriaga; Thomas Strösslin; Denis Sheynikhovich; Wulfram Gerstner (Neuroinformatics, 2005)

Robust self-localisation and navigation based on hippocampal place cells. - Thomas Strösslin; Denis Sheynikhovich; Ricardo Chavarriaga; Wulfram Gerstner (Neural Networks, 2005)

Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning. - Gediminas Luksys; Jérémie Knüsel; Denis Sheynikhovich; Carmen Sandi; Wulfram Gerstner (NIPS, 2006)

Dependence of the spike-triggered average voltage on membrane response properties. - Laurent Badel; Wulfram Gerstner; Magnus J. E. Richardson (Neurocomputing, 2006)

Adaptive sensory processing for efficient place coding. - Denis Sheynikhovich; Ricardo Chavarriaga; Thomas Strösslin; Wulfram Gerstner (Neurocomputing, 2006)

Predicting spike timing of neocortical pyramidal neurons by simple threshold models. - Renaud Jolivet; Alexander Rauch; Hans-Rudolf Lüscher; Wulfram Gerstner (J. Comput. Neurosci., 2006)

Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning. - Jean-Pascal Pfister; Taro Toyoizumi; David Barber; Wulfram Gerstner (Neural Comput., 2006)

An online Hebbian learning rule that performs Independent Component Analysis. - Claudia Clopath; André Longtin; Wulfram Gerstner (NIPS, 2007)

Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments. - Claudia Clopath; Renaud Jolivet; Alexander Rauch; Hans-Rudolf Lüscher; Wulfram Gerstner (Neurocomputing, 2007)

Optimality Model of Unsupervised Spike-Timing-Dependent Plasticity: Synaptic Memory and Weight Distribution. - Taro Toyoizumi; Jean-Pascal Pfister; Kazuyuki Aihara; Wulfram Gerstner (Neural Comput., 2007)

Consciousness & the small network argument. - Michael H. Herzog; Michael Esfeld; Wulfram Gerstner (Neural Networks, 2007)

Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning. - Gediminas Luksys; Carmen Sandi; Wulfram Gerstner (NIPS, 2008)

Extracting non-linear integrate-and-fire models from experimental data using dynamic I - V curves. - Laurent Badel; Sandrine Lefort; Thomas K. Berger; Carl C. H. Petersen; Wulfram Gerstner; Magnus J. E. Richardson (Biol. Cybern., 2008)

Special issue on quantitative neuron modeling. - Renaud Jolivet; Arnd Roth; Felix Schürmann; Wulfram Gerstner; Walter Senn (Biol. Cybern., 2008)

The quantitative single-neuron modeling competition. - Renaud Jolivet; Felix Schürmann; Thomas K. Berger; Richard Naud; Wulfram Gerstner; Arnd Roth (Biol. Cybern., 2008)

Phenomenological models of synaptic plasticity based on spike timing. - Abigail Morrison; Markus Diesmann; Wulfram Gerstner (Biol. Cybern., 2008)

Firing patterns in the adaptive exponential integrate-and-fire model. - Richard Naud; Nicolas Marcille; Claudia Clopath; Wulfram Gerstner (Biol. Cybern., 2008)

Gamma Oscillations in a Nonlinear Regime: A Minimal Model Approach Using Heterogeneous Integrate-and-Fire Networks. - Brice Bathellier; Alan Carleton; Wulfram Gerstner (Neural Comput., 2008)

Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression. - Claudia Clopath; Lorric Ziegler; Eleni Vasilaki; Lars Büsing; Wulfram Gerstner (PLoS Comput. Biol., 2008)

Spike-response model. - Wulfram Gerstner (Scholarpedia, 2008)

Code-specific policy gradient rules for spiking neurons. - Henning Sprekeler; Guillaume Hennequin; Wulfram Gerstner (NIPS, 2009)

Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail. - Eleni Vasilaki; Nicolas Frémaux; Robert Urbanczik; Walter Senn; Wulfram Gerstner (PLoS Comput. Biol., 2009)

Adaptive exponential integrate-and-fire model. - Wulfram Gerstner; Romain Brette (Scholarpedia, 2009)

Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models. - Felipe Gerhard; Wulfram Gerstner (NIPS, 2010)

STDP in Adaptive Neurons Gives Close-To-Optimal Information Transmission. - Guillaume Hennequin; Wulfram Gerstner; Jean-Pascal Pfister (Frontiers Comput. Neurosci., 2010)

Spike-timing dependent plasticity. - Jesper Sjöström; Wulfram Gerstner (Scholarpedia, 2010)

Biological Learning: Synaptic Plasticity, Hebb Rule and Spike TimingDependent Plasticity. - Wulfram Gerstner (Encyclopedia of Machine Learning, 2010)

Neural pre-coding increases the pattern retrieval capacity of Hopfield and Bidirectional Associative Memories. - Amir Hesam Salavati; K. Raj Kumar; Mohammad Amin Shokrollahi; Wulfram Gerstner (ISIT, 2011)

From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models. - Skander Mensi; Richard Naud; Wulfram Gerstner (NIPS, 2011)

Variational Learning for Recurrent Spiking Networks. - Danilo Jimenez Rezende; Daan Wierstra; Wulfram Gerstner (NIPS, 2011)

Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect? - Felipe Gerhard; Gordon Pipa; Bruss Lima; Sergio Neuenschwander; Wulfram Gerstner (Frontiers Comput. Neurosci., 2011)

Improved Similarity Measures for Small Sets of Spike Trains. - Richard Naud; Felipe Gerhard; Skander Mensi; Wulfram Gerstner (Neural Comput., 2011)

Coding and Decoding with Adapting Neurons: A Population Approach to the Peri-Stimulus Time Histogram. - Richard Naud; Wulfram Gerstner (PLoS Comput. Biol., 2012)

Paradoxical Evidence Integration in Rapid Decision Processes. - Johannes Rüter; Nicolas Marcille; Henning Sprekeler; Wulfram Gerstner; Michael H. Herzog (PLoS Comput. Biol., 2012)

Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons. - Nicolas Frémaux; Henning Sprekeler; Wulfram Gerstner (PLoS Comput. Biol., 2013)

Synaptic Plasticity in Neural Networks Needs Homeostasis with a Fast Rate Detector. - Friedemann Zenke; Guillaume Hennequin; Wulfram Gerstner (PLoS Comput. Biol., 2013)

Spike-timing prediction in cortical neurons with active dendrites. - Richard Naud; Brice Bathellier; Wulfram Gerstner (Frontiers Comput. Neurosci., 2014)

Stochastic variational learning in recurrent spiking networks. - Danilo Jimenez Rezende; Wulfram Gerstner (Frontiers Comput. Neurosci., 2014)

Limits to high-speed simulations of spiking neural networks using general-purpose computers. - Friedemann Zenke; Wulfram Gerstner (Frontiers Neuroinformatics, 2014)

Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze-like Environments. - Dane S. Corneil; Wulfram Gerstner (NIPS, 2015)

Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models. - Christian Pozzorini; Skander Mensi; Olivier Hagens; Richard Naud; Christof Koch; Wulfram Gerstner (PLoS Comput. Biol., 2015)

Algorithmic Composition of Melodies with Deep Recurrent Neural Networks. - Florian Colombo; Samuel P. Muscinelli; Alexander Seeholzer; Johanni Brea; Wulfram Gerstner (CoRR, 2016)

Balancing New Against Old Information: The Role of Surprise. - Mohammad Javad Faraji; Kerstin Preuschoff; Wulfram Gerstner (CoRR, 2016)

Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity. - Thomas Mesnard; Wulfram Gerstner; Johanni Brea (CoRR, 2016)

Nonlinear Hebbian Learning as a Unifying Principle in Receptive Field Formation. - Carlos S. N. Brito; Wulfram Gerstner (PLoS Comput. Biol., 2016)

Enhanced Sensitivity to Rapid Input Fluctuations by Nonlinear Threshold Dynamics in Neocortical Pyramidal Neurons. - Skander Mensi; Olivier Hagens; Wulfram Gerstner; Christian Pozzorini (PLoS Comput. Biol., 2016)

Deep Artificial Composer: A Creative Neural Network Model for Automated Melody Generation. - Florian Colombo; Alexander Seeholzer; Wulfram Gerstner (EvoMUSART, 2017)

Predicting non-linear dynamics: a stable local learning scheme for recurrent spiking neural networks. - Aditya Gilra; Wulfram Gerstner (CoRR, 2017)

Multi-timescale memory dynamics in a reinforcement learning network with attention-gated memory. - Marco Martinolli; Wulfram Gerstner; Aditya Gilra (CoRR, 2017)

Cortical Dynamics in Presence of Assemblies of Densely Connected Weight-Hub Neurons. - Hesam Setareh; Moritz Deger; Carl C. H. Petersen; Wulfram Gerstner (Frontiers Comput. Neurosci., 2017)

Exponentially Long Orbits in Hopfield Neural Networks. - Samuel P. Muscinelli; Wulfram Gerstner; Johanni Brea (Neural Comput., 2017)

Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size. - Tilo Schwalger; Moritz Deger; Wulfram Gerstner (PLoS Comput. Biol., 2017)

Biological Learning: Synaptic Plasticity, Hebb Rule and Spike Timing Dependent Plasticity. - Wulfram Gerstner (Encyclopedia of Machine Learning and Data Mining, 2017)

Efficient ModelBased Deep Reinforcement Learning with Variational State Tabulation. - Dane S. Corneil; Wulfram Gerstner; Johanni Brea (ICML, 2018)

Non-Linear Motor Control by Local Learning in Spiking Neural Networks. - Aditya Gilra; Wulfram Gerstner (ICML, 2018)

Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation. - Dane S. Corneil; Wulfram Gerstner; Johanni Brea (CoRR, 2018)

BachProp: Learning to Compose Music in Multiple Styles. - Florian Colombo; Wulfram Gerstner (CoRR, 2018)

Learning to Generate Music with BachProp. - Florian Colombo; Johanni Brea; Wulfram Gerstner (CoRR, 2018)

Multi-Timescale Memory Dynamics Extend Task Repertoire in a Reinforcement Learning Network With Attention-Gated Memory. - Marco Martinolli; Wulfram Gerstner; Aditya Gilra (Frontiers Comput. Neurosci., 2018)

Balancing New against Old Information: The Role of Puzzlement Surprise in Learning. - Mohammad Javad Faraji; Kerstin Preuschoff; Wulfram Gerstner (Neural Comput., 2018)

Excitable neuronal assemblies with adaptation as a building block of brain circuits for velocity-controlled signal propagation. - Hesam Setareh; Moritz Deger; Wulfram Gerstner (PLoS Comput. Biol., 2018)

Weight-space symmetry in deep networks gives rise to permutation saddles, connected by equal-loss valleys across the loss landscape. - Johanni Brea; Berfin Simsek; Bernd Illing; Wulfram Gerstner (CoRR, 2019)

An Approximate Bayesian Approach to Surprise-Based Learning. - Vasiliki Liakoni; Alireza Modirshanechi; Wulfram Gerstner; Johanni Brea (CoRR, 2019)

Working memory facilitates reward-modulated Hebbian learning in recurrent neural networks. - Roman Pogodin; Dane S. Corneil; Alexander Seeholzer; Joseph Heng; Wulfram Gerstner (CoRR, 2019)

Optimal Stimulation Protocol in a Bistable Synaptic Consolidation Model. - Chiara Gastaldi; Samuel P. Muscinelli; Wulfram Gerstner (Frontiers Comput. Neurosci., 2019)

Biologically plausible deep learning - But how far can we go with shallow networks? - Bernd Illing; Wulfram Gerstner; Johanni Brea (Neural Networks, 2019)

How single neuron properties shape chaotic dynamics and signal transmission in random neural networks. - Samuel P. Muscinelli; Wulfram Gerstner; Tilo Schwalger (PLoS Comput. Biol., 2019)

Stability of working memory in continuous attractor networks under the control of short-term plasticity. - Alexander Seeholzer; Moritz Deger; Wulfram Gerstner (PLoS Comput. Biol., 2019)

Towards truly local gradients with CLAPP: Contrastive, Local And Predictive Plasticity. - Bernd Illing; Wulfram Gerstner; Guillaume Bellec (CoRR, 2020)

On the choice of metric in gradient-based theories of brain function. - Simone Carlo Surace; Jean-Pascal Pfister; Wulfram Gerstner; Johanni Brea (PLoS Comput. Biol., 2020)

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances. - Berfin Simsek; François Ged; Arthur Jacot; Francesco Spadaro; Clément Hongler; Wulfram Gerstner; Johanni Brea (ICML, 2021)

Fitting summary statistics of neural data with a differentiable spiking network simulator. - Guillaume Bellec; Shuqi Wang; Alireza Modirshanechi; Johanni Brea; Wulfram Gerstner (NeurIPS, 2021)

Local plasticity rules can learn deep representations using self-supervised contrastive predictions. - Bernd Illing; Jean Ventura; Guillaume Bellec; Wulfram Gerstner (NeurIPS, 2021)

Learning in Volatile Environments With the Bayes Factor Surprise. - Vasiliki Liakoni; Alireza Modirshanechi; Wulfram Gerstner; Johanni Brea (Neural Comput., 2021)

When shared concept cells support associations: Theory of overlapping memory engrams. - Chiara Gastaldi; Tilo Schwalger; Emanuela De Falco; Rodrigo Quian Quiroga; Wulfram Gerstner (PLoS Comput. Biol., 2021)

Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making. - He A. Xu; Alireza Modirshanechi; Marco P. Lehmann; Wulfram Gerstner; Michael H. Herzog (PLoS Comput. Biol., 2021)

Approximating Relu Networks by Single-Spike Computation. - Ana Stanojevic; Evangelos Eleftheriou; Giovanni Cherubini; Stanislaw Wozniak; Angeliki Pantazi; Wulfram Gerstner (ICIP, 2022)

Kernel Memory Networks: A Unifying Framework for Memory Modeling. - Georgios Iatropoulos; Johanni Brea; Wulfram Gerstner (NeurIPS, 2022)

Mesoscopic modeling of hidden spiking neurons. - Shuqi Wang; Valentin Schmutz; Guillaume Bellec; Wulfram Gerstner (NeurIPS, 2022)

Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making. - Vasiliki Liakoni; Marco P. Lehmann; Alireza Modirshanechi; Johanni Brea; Antoine Lutti; Wulfram Gerstner; Kerstin Preuschoff (NeuroImage, 2022)

Music as Flow: A Formal Representation of Hierarchical Processes in Music. - Zeng Ren; Wulfram Gerstner; Martin Rohrmeier (ISMIR, 2023)

Should Under-parameterized Student Networks Copy or Average Teacher Weights? - Berfin Simsek; Amire Bendjeddou; Wulfram Gerstner; Johanni Brea (NeurIPS, 2023)

Trial matching: capturing variability with data-constrained spiking neural networks. - Christos Sourmpis; Carl C. H. Petersen; Wulfram Gerstner; Guillaume Bellec (NeurIPS, 2023)

MLPGradientFlow: going with the flow of multilayer perceptrons (and finding minima fast and accurately). - Johanni Brea; Flavio Martinelli; Berfin Simsek; Wulfram Gerstner (CoRR, 2023)

Expand-and-Cluster: Exact Parameter Recovery of Neural Networks. - Flavio Martinelli; Berfin Simsek; Johanni Brea; Wulfram Gerstner (CoRR, 2023)

GateON: an unsupervised method for large scale continual learning. - Martin Barry; Guillaume Bellec; Wulfram Gerstner (CoRR, 2023)

Are training trajectories of deep single-spike and deep ReLU network equivalent? - Ana Stanojevic; Stanislaw Wozniak; Guillaume Bellec; Giovanni Cherubini; Angeliki Pantazi; Wulfram Gerstner (CoRR, 2023)

An exact mapping from ReLU networks to spiking neural networks. - Ana Stanojevic; Stanislaw Wozniak; Guillaume Bellec; Giovanni Cherubini; Angeliki Pantazi; Wulfram Gerstner (Neural Networks, 2023)

A dynamic attractor network model of memory formation, reinforcement and forgetting. - Marta Boscaglia; Chiara Gastaldi; Wulfram Gerstner; Rodrigo Quian Quiroga (PLoS Comput. Biol., 2023)

Expand-and-Cluster: Parameter Recovery of Neural Networks. - Flavio Martinelli; Berfin Simsek; Wulfram Gerstner; Johanni Brea (ICML, 2024)

Corrigendum to 'An exact mapping from ReLU networks to spiking neural networks' [Neural Networks Volume 168 (2023) Pages 74-88]. - Ana Stanojevic; Stanislaw Wozniak; Guillaume Bellec; Giovanni Cherubini; Angeliki Pantazi; Wulfram Gerstner (Neural Networks, 2024)

Fast adaptation to rule switching using neuronal surprise. - Martin L. L. R. Barry; Wulfram Gerstner (PLoS Comput. Biol., 2024)

Learning what matters: Synaptic plasticity with invariance to second-order input correlations. - Carlos S. N. Brito; Wulfram Gerstner (PLoS Comput. Biol., 2024)

Flat Channels to Infinity in Neural Loss Landscapes. - Flavio Martinelli; Alexander van Meegen; Berfin Simsek; Wulfram Gerstner; Johanni Brea (CoRR, 2025)