Wulfram Gerstner

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Computational Neuroscience Laboratory

Web site:  Web site:  https://lcn.epfl.ch/

Web site:  Web site:  https://sin.epfl.ch

Web site:  Web site:  https://ssc.epfl.ch

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Administrative data

Fields of expertise

 Computational Neuroscience, Theoretical Neuroscience

Publications

Selected publications

Teaching & PhD

Teaching

Computer Science

Life Sciences Engineering
Communication Systems

Courses

Learning in neural networks

Full title: "Brain-style learning in Neural Networks: Learning algorithms of the brain". Biological brains show powerful learning without BackProp, how? By a smart combination of Reinforcement Learning and Self-supervised learning with local learning rules at the connections (synapses).

Computational neurosciences: neuronal dynamics

In this course we study mathematical models of neurons and neuronal networks in the context of biology and establish links to models of cognition. The focus is on brain dynamics approximated by deterministic or stochastic differential equations.