Wulfram Gerstner

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Publications associées (129)

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

Wulfram Gerstner, Tilo Schwalger, Samuel Pavio Muscinelli

While most models of randomly connected neural networks assume single-neuron models with simple dynamics, neurons in the brain exhibit complex intrinsic dynamics over multiple timescales. We analyze how the dynamical properties of single neurons and recurr ...

2019

Optimal Stimulation Protocol in a Bistable Synaptic Consolidation Model

Wulfram Gerstner, Samuel Pavio Muscinelli, Chiara Gastaldi

Synaptic changes induced by neural activity need to be consolidated to maintain memory over a timescale of hours. In experiments, synaptic consolidation can be induced by repeating a stimulation protocol several times and the effectiveness of consolidation ...

2019

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

Wulfram Gerstner, Alexander Kevin Seeholzer, Moritz Deger

Continuous attractor models of working-memory store continuous-valued information in continuous state-spaces, but are sensitive to noise processes that degrade memory retention. Short-term synaptic plasticity of recurrent synapses has previously been shown ...

2019

One-shot learning and behavioral eligibility traces in sequential decision making

Michael Herzog, Wulfram Gerstner, Marco Philipp Lehmann, Kerstin Preuschoff, He Xu, Vasiliki Liakoni

In many daily tasks, we make multiple decisions before reaching a goal. In order to learn such sequences of decisions, a mechanism to link earlier actions to later reward is necessary. Reinforcement learning (RL) theory suggests two classes of algorithms s ...

2019

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

Wulfram Gerstner, Kerstin Preuschoff, Mohammadjavad Faraji

2018

Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning Rules

Wulfram Gerstner, Johanni Michael Brea, Marco Philipp Lehmann, Vasiliki Liakoni, Dane Sterling Corneil

2018

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

Wulfram Gerstner, Moritz Deger, Hesam Setareh

2018

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

Wulfram Gerstner, Alexander Kevin Seeholzer, Moritz Deger

Oxford University Press2018

Multi-Timescale Memory Dynamics Extend Task Repertoire in a Reinforcement Learning Network With Attention-Gated Memory

Wulfram Gerstner, Aditya Gilra

2018

Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation

Wulfram Gerstner, Johanni Michael Brea, Dane Sterling Corneil

Modern reinforcement learning algorithms reach super-human performance on many board and video games, but they are sample inefficient, i.e. they typically require significantly more playing experience than humans to reach an equal performance level. To imp ...

2018

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

Wulfram Gerstner, Alexander Kevin Seeholzer, Moritz Deger

2019

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

Wulfram Gerstner, Moritz Deger, Hesam Setareh

2018

Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning Rules

Wulfram Gerstner, Johanni Michael Brea, Marco Philipp Lehmann, Vasiliki Liakoni, Dane Sterling Corneil

2018