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
Timetable
| 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 |