Within the NEUROTECH framework there is an educational initiative on neuromorphic engineering. As the "Neuromorphic engineering" field is receiving increasing importance worldwide, the interest in learning about the field is rising rapidly. However, there is little information and educational material available online. Our aim is to fill this gap with a series of virtual colloquia, each revolving around a specific aspect of the neuromorphic engineering field. In each colloquium, a small number of experts on neuromorphic engineering will answer a specific “question of the day” with a short pitch, followed by a live discussion on the topic, with a moderator and questions from the audience.
The colloquia are planned for the second Tuesday of each month for one year at around 4 PM (CET) and it will last 1h and a half. Each pitch will provide a concise answer from the speaker that can last from 5 to about 20 minutes.
Our goal is to collect educational material by recording the pitches, which could be used by students and researchers as a reference to start learning about the field. We plan to record the pitch and make the videos available to the community through a dedicated SwitchTube channel. The colloquia should offer an increasingly deep understanding of neuromorphic engineering. At the same time, we would like to stimulate a lively discussion where different points of view and perspectives are challenged and compared. This will only happen live and the audience will be restricted only to the live participants – we will NOT record the panel discussion.
Question of the day: "What is an event-driven sensor?"
Chair: Garrick Orchard (Intel Labs)
Question of the day: "How to perform neuromorphic computing with nanoscale devices?"
Schedule Day 3:
Chair: Dr. Alice Mizrahi (THALES SA, FR)
SPEAKER BIOSQuestion of the day: "What are hardware opportunities for neuromorphic engineering?"
Schedule Day 2:
Chair: Dr. Melika Payvand (University of Zurich and ETH, CH)
SPEAKER BIOS
Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems E. Chicca; F. Stefanini; C. Bartolozzi; G. Indiveri. Proceedings of the IEEE
https://ieeexplore.ieee.org/document/6809149/
Open access arxiv version: https://arxiv.org/abs/1403.6428
A recipe for creating ideal hybrid memristive-CMOS neuromorphic processing systems E. Chicca and G. Indiveri. Appl. Phys. Lett. 116, 120501 (2020);
https://doi.org/10.1063/1.5142089
Open access arxiv version: https://arxiv.org/abs/1912.05637
The SpiNNaker book: SpiNNaker - a spiking neural network architecture
Open access: http://dx.doi.org/10.1561/9781680836523
The SpiNNaker Project, Proceedings of the IEEE (Volume: 102, Issue: 5, May 2014)
Open access: https://ieeexplore.ieee.org/document/6750072
Large-scale neuromorphic computing systems, Steve Furber 2016 J. Neural Eng. 13 051001
Open access: https://iopscience.iop.org/article/10.1088/1741-2560/13/5/051001/meta
Principles of Neural Design Sterling, Peter, and Simon Laughlin. MIT Press, 2015.
The Human Advantage Herculano-Houzel, Suzana. MIT Press, 2016.
