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Wulfram Gerstner

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Wulfram Gerstner

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Complexity and performance in simple neuron models

Improved Similarity Measures for Small Sets of Spike Trains

STDP in adaptive neurons gives close-to-optimal information transmission

Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models

Spike-timing dependent plasticity

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

Spike-timing prediction in a neuron model with active dendrites

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

Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning

Code-specific policy gradient rules for spiking neurons