Frameworks for computing with time in spiking neural networks

Spikes are events with an associated time. This time can be used as a variable to encode an process information, and many neuroscientific studies have found such temporal codes in living organisms (barn owl, sand scorpion...) . However, this type of computation has not yet transitioned to artificial systems, with only a few algorithms that integrate spike time in neuromorphic computing. The goal of this discussion group is thus to present different views of how can we use spike timing in a sensible way to design algorithms, both with fixed circuits and adaptively. Particularly we will focus on theoretical methods that could help understanding how to manipulate those spike times.
A few initial questions:
- How to represent spike times
- How to modify spike timing in a controlled way
- How to deal with jitter and missing spikes

Go to group wiki


Day Time Location
Thu, 25.04.2019 21:30 - 22:00 Panorama
Mon, 29.04.2019 14:30 - 15:30 Lecture room
Tue, 30.04.2019 15:00 - 16:00 Panorama


Pau Vilimelis Aceituno


Karla Burelo
Matteo Cartiglia
Erika Covi
Giulia D'Angelo
Elisa Donati
Damien Drix
Charlotte Frenkel
Qinghai Guo
Daniel Gutierrez-Galan
Germain Haessig
Michael Hopkins
Lyes Khacef
Sepp Kollmorgen
Renate Krause
Raphaela Kreiser
Laura Kriener
Alexander Kugele
Christian Mayr
Moritz Milde
Marco Monforte
Dylan Muir
Mattias Nilsson
Omar Oubari
Melika Payvand
Adam Perrett
Alpha Renner
Ole Richter
Nicoletta Risi
Thorben Schoepe
Baris Serhan
Joana Soldado Magraner
Saray Soldado Magraner
Beck Strohmer
Jonathan Tapson
Gemma Taverni
Pau Vilimelis Aceituno
Oskar Weinberger
Annika Weisse
Jibin Wu
Muhammad Yaqoob
Bojian Yin
Dmitrii Zendrikov
Jingyue Zhao