Lista de obras - Wulfram Gerstner - Dominio Público Uruguay

25th Annual Computational Neuroscience Meeting: CNS-2016

artículo científico publicado en 2016

A Model of Synaptic Reconsolidation

artículo científico publicado en 2016

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

artículo científico publicado en 1993

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

artículo científico publicado en 1994

A computational model of parallel navigation systems in rodents

artículo científico publicado en 2005

A hierarchy of time scales supports unsupervised learning of behavioral sequences

artículo científico publicado en 2015

A history of spike-timing-dependent plasticity

artículo científico publicado en 2011

A model of perceptual discrimination under sequential sensory evidence

artículo científico publicado en 2013

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

artículo científico publicado en 2005

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

artículo científico publicado en 2015

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

artículo científico publicado en 2011

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

artículo científico publicado en 2017

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

artículo científico publicado en 2015

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

artículo científico publicado en 1999

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

artículo científico publicado en 2013

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

artículo científico publicado en 2012

Coding and learning of behavioral sequences

artículo científico publicado en 2004

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

artículo científico publicado el 1 de julio de 2001

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

artículo científico publicado en 2004

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

artículo científico publicado en 2014

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

artículo científico publicado en 2010

Consciousness & the small network argument

artículo científico publicado en 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

artículo científico publicado en 2017

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

artículo científico publicado en 2007

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

artículo científico publicado el 1 de noviembre de 2001

Efficient modeling of neural activity using coupled renewal processes

artículo científico publicado en 2011

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

artículo científico publicado en 2016

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

artículo científico publicado en 2018

Exponentially Long Orbits in Hopfield Neural Networks

artículo científico publicado en 2016

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

artículo científico publicado en 2008

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

artículo científico publicado en 2011

Fast and richly structured activity in cortical networks with local inhibition

artículo científico publicado en 2011

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

artículo científico publicado en 2008

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

artículo científico publicado en 2014

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

artículo científico publicado el 9 de diciembre de 2010

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

artículo científico publicado en 2006

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

artículo científico publicado en 2008

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

artículo científico publicado en 2011

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

artículo científico publicado en 2004

Hebbian plasticity requires compensatory processes on multiple timescales

artículo científico publicado en 2017

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

artículo científico publicado en 2019

Improved similarity measures for small sets of spike trains

artículo científico publicado en 2011

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

artículo científico publicado en 2013

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

artículo científico publicado el 1 de diciembre de 2001

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

artículo científico publicado en 2009

Learning navigational maps through potentiation and modulation of hippocampal place cells

artículo científico publicado en 1997

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

artículo científico publicado en 2014

Mathematical formulations of Hebbian learning

artículo científico publicado en 2002

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

artículo científico publicado en 2012

Modeling spatial and temporal aspects of visual backward masking

artículo científico publicado en 2008

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

artículo científico publicado en 2013

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

artículo científico publicado en 2017

Neural codes: firing rates and beyond

artículo científico publicado en 1997

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

artículo científico publicado en 2015

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

artículo científico publicado en 2014

Neuroscience. How good are neuron models?

artículo científico publicado en 2009

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

artículo científico publicado en 2001

Noise shaping in populations of coupled model neurons

artículo científico publicado en 1999

Noise-enhanced computation in a model of a cortical column

artículo científico publicado en 2005

Non-normal amplification in random balanced neuronal networks

artículo científico publicado en 2012

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

artículo científico publicado en 2004

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

artículo científico publicado en 2016

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.

artículo científico publicado en 2014

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

artículo científico publicado en 2006

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

artículo científico publicado en 2007

Paradoxical evidence integration in rapid decision processes

artículo científico publicado en 2012

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

artículo científico publicado en 2011

Perceptual learning, roving and the unsupervised bias

artículo científico publicado en 2011

Phenomenological models of synaptic plasticity based on spike timing

artículo científico publicado en 2008

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

artículo científico publicado en 2003

Plasticity and stability in recurrent neural networks

artículo científico publicado en 2011

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

artículo científico publicado en 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

artículo científico publicado en 2017

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

artículo científico publicado en 2004

Predicting spike timing of neocortical pyramidal neurons by simple threshold models

artículo científico publicado en 2006

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

artículo científico publicado en 2004

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

artículo científico publicado en 2013

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

artículo científico publicado en 2013

Robust self-localisation and navigation based on hippocampal place cells

artículo científico publicado en 2005

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

artículo científico publicado en 2010

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

artículo científico publicado en 2005

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

artículo científico publicado en 2009

Spike-timing dependent plasticity

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

Spike-timing-dependent plasticity: a comprehensive overview

artículo científico publicado en 2012

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

artículo científico publicado en 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

artículo científico publicado en 2018

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

artículo científico publicado en 2014

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

artículo científico publicado en 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

artículo científico publicado en 2009

Surprise minimization as a learning strategy in neural networks

artículo científico publicado en 2015

Synaptic consolidation: from synapses to behavioral modeling.

artículo científico publicado en 2015

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

artículo científico publicado en 2013

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

artículo científico publicado en 2005

Synaptic tagging and capture: a bridge from molecular to behaviour

artículo científico publicado en 2011

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

artículo científico publicado en 2008

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

artículo científico publicado en 2011

The role of interconnected hub neurons in cortical dynamics.

artículo científico publicado en 2014

The silent period of evidence integration in fast decision making

artículo científico publicado en 2013

The temporal paradox of Hebbian learning and homeostatic plasticity

artículo científico publicado en 2017

Theory and simulation in neuroscience

artículo científico publicado en 2012

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

artículo científico publicado el 1 de junio de 1997

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

artículo científico publicado en 2017

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

artículo científico publicado en 2004

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

artículo científico publicado el 1 de enero de 1992

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

artículo científico publicado el 21 de julio de 2010

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

artículo científico publicado en 1993

Lista de obras de 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.