List of works - Wulfram Gerstner

25th Annual Computational Neuroscience Meeting: CNS-2016

scientific article

A Model of Synaptic Reconsolidation

scientific article published on 18 May 2016

A biologically motivated and analytically soluble model of collective oscillations in the cortex. I. Theory of weak locking

scientific article published in January 1993

A biologically motivated and analytically soluble model of collective oscillations in the cortex. II. Application to binding and pattern segmentation

scientific article published in January 1994

A computational model of parallel navigation systems in rodents

scientific article

A hierarchy of time scales supports unsupervised learning of behavioral sequences

scientific article published on 4 December 2015

A history of spike-timing-dependent plasticity

scientific article (publication date: 2011)

A model of perceptual discrimination under sequential sensory evidence

scientific article published on 8 July 2013

Adaptive exponential integrate-and-fire model as an effective description of neuronal activity

scientific article published on 13 July 2005

Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models

scientific article published on 17 June 2015

Automatic characterization of three cortical neuron types reveals two distinct adaptation mechanisms.

scientific article published on 18 July 2011

Balancing New against Old Information: The Role of Puzzlement Surprise in Learning

scientific article

Bridging spiking neuron models and mesoscopic population models - a general theory for neural population dynamics

scientific article published on 4 December 2015

Cerebral vasodilatation causing acute intracranial hypertension: a method for noninvasive assessment

scientific article published in September 1999

Changing the responses of cortical neurons from sub- to suprathreshold using single spikes in vivo

scientific article published on 22 January 2013

Coding and decoding with adapting neurons: a population approach to the peri-stimulus time histogram

scientific article

Coding and learning of behavioral sequences

scientific article published on January 2004

Coding properties of spiking neurons: reverse and cross-correlations ⬇️

scientific article published on July 1, 2001

Cognitive navigation based on nonuniform Gabor space sampling, unsupervised growing networks, and reinforcement learning

scientific article published in May 2004

Connection-type-specific biases make uniform random network models consistent with cortical recordings

scientific article

Connectivity reflects coding: a model of voltage-based STDP with homeostasis

scientific article published on 24 January 2010

Consciousness & the small network argument

scientific article published on 08 September 2007

Correction: Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail

scholarly article by Eleni Vasilaki et al published 14 December 2009 in PLOS Computational Biology

Cortical Dynamics in Presence of Assemblies of Densely Connected Weight-Hub Neurons

scientific article

Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces

scientific article

Effect of lateral connections on the accuracy of the population code for a network of spiking neurons ⬇️

scientific article published on 01 November 2001

Efficient modeling of neural activity using coupled renewal processes

scientific article

Enhanced Sensitivity to Rapid Input Fluctuations by Nonlinear Threshold Dynamics in Neocortical Pyramidal Neurons

scientific article

Excitable neuronal assemblies with adaptation as a building block of brain circuits for velocity-controlled signal propagation

scientific article published in July 2018

Exponentially Long Orbits in Hopfield Neural Networks

scientific article published on 21 November 2016

Extracting non-linear integrate-and-fire models from experimental data using dynamic I-V curves

scientific article

Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect?

scientific article

Fast and richly structured activity in cortical networks with local inhibition

scientific article

Firing patterns in the adaptive exponential integrate-and-fire model

scientific article

Fluctuations and information filtering in coupled populations of spiking neurons with adaptation

scientific article published in December 2014

From Hebb Rules to Spike-Timing-Dependent Plasticity: A Personal Account ⬇️

scientific article published on December 9, 2010

From spiking neurons to rate models: a cascade model as an approximation to spiking neuron models with refractoriness

scientific article published on 16 May 2006

Gamma oscillations in a nonlinear regime: a minimal model approach using heterogeneous integrate-and-fire networks.

scientific article published in December 2008

General conditions for spiking neurons and plasticity rules to perform independent component analysis

scientific article

Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy

scientific article published in August 2004

Hebbian plasticity requires compensatory processes on multiple timescales

scientific article published on March 2017

How single neuron properties shape chaotic dynamics and signal transmission in random neural networks.

scientific article published on 10 June 2019

Improved similarity measures for small sets of spike trains

scientific article published on 15 September 2011

Inference of neuronal network spike dynamics and topology from calcium imaging data

scientific article

Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning ⬇️

scientific article published on December 1, 2001

Is there a geometric module for spatial orientation? Insights from a rodent navigation model

scientific article published in July 2009

Learning navigational maps through potentiation and modulation of hippocampal place cells

scientific article

Limits to high-speed simulations of spiking neural networks using general-purpose computers

scientific article published on 11 September 2014

Mathematical formulations of Hebbian learning

scientific article

Microcircuits of excitatory and inhibitory neurons in layer 2/3 of mouse barrel cortex

scientific article published on 7 March 2012

Modeling spatial and temporal aspects of visual backward masking

scientific article published in January 2008

Modulation of a decision-making process by spatiotemporal spike patterns decoding: evidence from spike-train metrics analysis and spiking neural network modeling

scientific article published on 8 July 2013

Multicontact Co-operativity in Spike-Timing-Dependent Structural Plasticity Stabilizes Networks

scientific article

Neural codes: firing rates and beyond

scientific article

Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules

scientific article

Neuromodulation by surprise: a biologically plausible model of the learning rate dynamics.

scientific article published on 21 July 2014

Neuroscience. How good are neuron models?

scientific article published in October 2009

Noise and the PSTH response to current transients: I. General theory and application to the integrate-and-fire neuron

scientific article published in September 2001

Noise shaping in populations of coupled model neurons

scientific article published on August 1999

Noise-enhanced computation in a model of a cortical column

scientific article published in August 2005

Non-normal amplification in random balanced neuronal networks

scientific article published on 11 July 2012

Noninvasive brain-actuated control of a mobile robot by human EEG.

scientific article

Nonlinear Hebbian Learning as a Unifying Principle in Receptive Field Formation ⬇️

scientific article

On the choice of metric in gradient-based theories of brain function

scientific article published on 09 April 2020

Optimal control of transient dynamics in balanced networks supports generation of complex movements.

scientific article published in June 2014

Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning

scientific article published in June 2006

Optimality model of unsupervised spike-timing-dependent plasticity: synaptic memory and weight distribution

scientific article published in March 2007

Paradoxical evidence integration in rapid decision processes

scientific article

Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms

scientific article published on 7 December 2011

Perceptual learning, roving and the unsupervised bias

scientific article published on 19 November 2011

Phenomenological models of synaptic plasticity based on spike timing

scientific article published on 20 May 2008

Piecewise linear differential equations and integrate-and-fire neurons: insights from two-dimensional membrane models

scientific article published on 19 February 2003

Plasticity and stability in recurrent neural networks

scientific article

Predicting neuronal activity with an adaptive exponential integrate-and-fire model.

scientific article published on 6 July 2007

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

article

Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network

scientific article published on 27 November 2017

Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrival

scientific article published in July 2004

Predicting spike timing of neocortical pyramidal neurons by simple threshold models

scientific article

Prospective documentation and analysis of the pre- and early clinical management in severe head injury in southern Bavaria at a population based level.

scientific article published in January 2004

Reinforcement learning using a continuous time actor-critic framework with spiking neurons

scientific article

Reward-based learning under hardware constraints-using a RISC processor embedded in a neuromorphic substrate

scientific article published on 20 September 2013

Robust self-localisation and navigation based on hippocampal place cells

scientific article published on 2 November 2005

STDP in Adaptive Neurons Gives Close-To-Optimal Information Transmission

scientific article published on 3 December 2010

Short-term synaptic plasticity orchestrates the response of pyramidal cells and interneurons to population bursts

scientific article published in June 2005

Spike-based reinforcement learning in continuous state and action space: when policy gradient methods fail

scientific article

Spike-timing dependent plasticity

article by Jesper Sjöström & Wulfram Gerstner published 2010 in Scholarpedia Journal

Spike-timing-dependent plasticity: a comprehensive overview

scientific article published on 12 July 2012

Spike-triggered averages for passive and resonant neurons receiving filtered excitatory and inhibitory synaptic drive.

scientific article published on 22 July 2008

Spiking Neuron Models: Single Neurons, Populations, Plasticity ⬇️

book published in 2002

Stability of working memory in continuous attractor networks under the control of short-term plasticity

scientific article published on 23 September 2018

Stabilizing working memory in spiking networks with biologically plausible synaptic dynamics.

scientific article published on 21 July 2014

Statistics of subthreshold neuronal voltage fluctuations due to conductance-based synaptic shot noise

scientific article published in June 2006

Stochastic variational learning in recurrent spiking networks

scientific article published on 04 April 2014

Stress, genotype and norepinephrine in the prediction of mouse behavior using reinforcement learning

scientific article

Surprise minimization as a learning strategy in neural networks

scientific article published on 4 December 2015

Synaptic consolidation: from synapses to behavioral modeling.

scientific article

Synaptic plasticity in neural networks needs homeostasis with a fast rate detector

scientific article published on 14 November 2013

Synaptic shot noise and conductance fluctuations affect the membrane voltage with equal significance

scientific article published in April 2005

Synaptic tagging and capture: a bridge from molecular to behaviour

scientific article

Tag-trigger-consolidation: a model of early and late long-term-potentiation and depression

scientific article

The influence of structure on the response properties of biologically plausible neural network models

scientific article

The role of interconnected hub neurons in cortical dynamics.

scientific article published on 21 July 2014

The silent period of evidence integration in fast decision making

scientific article

The temporal paradox of Hebbian learning and homeostatic plasticity

scientific article

Theory and simulation in neuroscience

scientific article

Three-Dimensional Computer-Assisted Stereotactic-Guided Microneurosurgery Combined with Cortical Mapping of the Motor Area by Direct Electrostimulation ⬇️

scientific article published on June 1, 1997

Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size ⬇️

scientific article

Transient information flow in a network of excitatory and inhibitory model neurons: role of noise and signal autocorrelation

scientific article published in July 2004

Universality in neural networks: the importance of the 'mean firing rate'

scientific article published on January 1, 1992

Voltage and spike timing interact in STDP - a unified model ⬇️

scientific article published on July 21, 2010

Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns

scientific article published in January 1993

List of works by Wulfram Gerstner

25th Annual Computational Neuroscience Meeting: CNS-2016

A Model of Synaptic Reconsolidation

A biologically motivated and analytically soluble model of collective oscillations in the cortex. I. Theory of weak locking

A biologically motivated and analytically soluble model of collective oscillations in the cortex. II. Application to binding and pattern segmentation

A computational model of parallel navigation systems in rodents

A hierarchy of time scales supports unsupervised learning of behavioral sequences

A history of spike-timing-dependent plasticity

A model of perceptual discrimination under sequential sensory evidence

Adaptive exponential integrate-and-fire model as an effective description of neuronal activity

Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models

Automatic characterization of three cortical neuron types reveals two distinct adaptation mechanisms.

Balancing New against Old Information: The Role of Puzzlement Surprise in Learning

Bridging spiking neuron models and mesoscopic population models - a general theory for neural population dynamics

Cerebral vasodilatation causing acute intracranial hypertension: a method for noninvasive assessment

Changing the responses of cortical neurons from sub- to suprathreshold using single spikes in vivo

Coding and decoding with adapting neurons: a population approach to the peri-stimulus time histogram

Coding and learning of behavioral sequences

Coding properties of spiking neurons: reverse and cross-correlations ⬇️

Cognitive navigation based on nonuniform Gabor space sampling, unsupervised growing networks, and reinforcement learning

Connection-type-specific biases make uniform random network models consistent with cortical recordings

Connectivity reflects coding: a model of voltage-based STDP with homeostasis

Consciousness & the small network argument

Correction: Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail

Cortical Dynamics in Presence of Assemblies of Densely Connected Weight-Hub Neurons

Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces

Effect of lateral connections on the accuracy of the population code for a network of spiking neurons ⬇️

Efficient modeling of neural activity using coupled renewal processes

Enhanced Sensitivity to Rapid Input Fluctuations by Nonlinear Threshold Dynamics in Neocortical Pyramidal Neurons

Excitable neuronal assemblies with adaptation as a building block of brain circuits for velocity-controlled signal propagation

Exponentially Long Orbits in Hopfield Neural Networks

Extracting non-linear integrate-and-fire models from experimental data using dynamic I-V curves

Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect?

Fast and richly structured activity in cortical networks with local inhibition

Firing patterns in the adaptive exponential integrate-and-fire model

Fluctuations and information filtering in coupled populations of spiking neurons with adaptation

From Hebb Rules to Spike-Timing-Dependent Plasticity: A Personal Account ⬇️

From spiking neurons to rate models: a cascade model as an approximation to spiking neuron models with refractoriness

Gamma oscillations in a nonlinear regime: a minimal model approach using heterogeneous integrate-and-fire networks.

General conditions for spiking neurons and plasticity rules to perform independent component analysis

Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy

Hebbian plasticity requires compensatory processes on multiple timescales

How single neuron properties shape chaotic dynamics and signal transmission in random neural networks.

Improved similarity measures for small sets of spike trains

Inference of neuronal network spike dynamics and topology from calcium imaging data

Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning ⬇️

Is there a geometric module for spatial orientation? Insights from a rodent navigation model

Learning navigational maps through potentiation and modulation of hippocampal place cells

Limits to high-speed simulations of spiking neural networks using general-purpose computers

Mathematical formulations of Hebbian learning

Microcircuits of excitatory and inhibitory neurons in layer 2/3 of mouse barrel cortex

Modeling spatial and temporal aspects of visual backward masking

Modulation of a decision-making process by spatiotemporal spike patterns decoding: evidence from spike-train metrics analysis and spiking neural network modeling

Multicontact Co-operativity in Spike-Timing-Dependent Structural Plasticity Stabilizes Networks

Neural codes: firing rates and beyond

Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules

Neuromodulation by surprise: a biologically plausible model of the learning rate dynamics.

Neuroscience. How good are neuron models?

Noise and the PSTH response to current transients: I. General theory and application to the integrate-and-fire neuron

Noise shaping in populations of coupled model neurons

Noise-enhanced computation in a model of a cortical column

Non-normal amplification in random balanced neuronal networks

Noninvasive brain-actuated control of a mobile robot by human EEG.

Nonlinear Hebbian Learning as a Unifying Principle in Receptive Field Formation ⬇️

On the choice of metric in gradient-based theories of brain function

Optimal control of transient dynamics in balanced networks supports generation of complex movements.

Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning

Optimality model of unsupervised spike-timing-dependent plasticity: synaptic memory and weight distribution

Paradoxical evidence integration in rapid decision processes

Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms

Perceptual learning, roving and the unsupervised bias

Phenomenological models of synaptic plasticity based on spike timing

Piecewise linear differential equations and integrate-and-fire neurons: insights from two-dimensional membrane models

Plasticity and stability in recurrent neural networks

Predicting neuronal activity with an adaptive exponential integrate-and-fire model.

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

Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network

Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrival

Predicting spike timing of neocortical pyramidal neurons by simple threshold models

Prospective documentation and analysis of the pre- and early clinical management in severe head injury in southern Bavaria at a population based level.