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Wulfram Gerstner

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Wulfram Gerstner

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

Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition

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

Stochastic variational learning in recurrent spiking networks

Optimal Control of Transient Dynamics in Balanced Networks Supports Generation of Complex Movements

Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons

Synaptic Plasticity in Neural Networks Needs Homeostasis with a Fast Rate Detector

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

Temporal whitening by power-law adaptation in neocortical neurons

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