
Wulfram Gerstner
Professor · Computational Neuroscience
Swiss Federal Institute of Technology in LausanneSwitzerland
About
Wulfram Gerstner is a Full Professor at EPFL, with double appointments in the School of Computer and Communication Sciences and School of Life Sciences. He directs the Computational Neuroscience Laboratory, focusing on spiking neuron models, synaptic plasticity, and learning mechanisms.
His research spans:
- Models of spiking neurons and spike-timing dependent plasticity
- Neuronal coding in single neurons and populations
- Linking biologically plausible learning to behavioral outcomes
- High-dimensional neural dynamics and chaotic networks
Recent Publications (2024–2025) explore:
- Emergent rate-based dynamics in spiking networks
- Context selectivity and lifelong learning
- Optogenetic validation of cortical models
- Energy-efficient deep spiking networks
Awards:
- Valentino Braitenberg Award (2018)
- Member, Academy of Sciences and Literature Mainz (Germany)
Teaching includes courses on Brain-style learning in Neural Networks and Computational Neuroscience: Neuronal Dynamics, targeting interdisciplinary students in NeuroX, Physics, Computer Science, and Life Sciences.
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