Robert Gütig is a professor for “Mathematical modeling of Neural Learning” at the Charité Berlin. His work focuses on the computational principles that underlie information processing and learning and their implementation in the brain. Specifically, he is interested in temporal coding and has developed a new model that uses supervised learning to read out spike-timing based representations (the “tempotron”, Gütig&Sompolinsky, 2006).
Thursday, 2nd of May 2019. 11h30: workshop
Spike-timing based neuronal processing: Applications to vision and speech
Friday, 3rd of May 2019. 11h00: seminar
Where and when is the next spike? Gradient learning in spiking-neurons
DATES AND VENUE
2-3 May 2019
Friedrich Miescher Institute for Biomedical Research
Maulbeerstrasse 66, Basel
Rooms 5.39 & Room 5.30
PLEASE NOTE THAT...
Registration at www.fmi.ch/CNIB