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227-0085-09L 3 Credits BSC D-ITET
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P&S: Spiking Neural Network on Neuromorphic Processors

Lecturers & Examiners: Prof. Dr. Giacomo Indiveri
Does not take place this semester. The course unit can only be taken once. Repeated enrollment in a later semester is not creditable.
VVZ CR n/a

Last Updated: 2026-06-01 11:33:20

Abstract

The category of "Laboratory Courses, Projects, Seminars" includes courses and laboratories in various formats designed to impart practical knowledge and skills. Moreover, these classes encourage independent experimentation and design, allow for explorative learning and teach the methodology of project work.

Objective

Machine Learning – Spiking Neural Network – DVS Cameras - Programming Neuromoripch processors – Intel Loihi - Final Project with a presentation. Compared to the “traditional” artificial neural network, the spiking neural network (SNN) can provided both latency and energy efficiency. Moreover, SNN has demonstrated in previous works a better performance in processing physiological information of small sample size, and only the output layer of the spiking neural network needs to be trained, which results in a fast training rate. This couse focuses on giving the bases of spiking neural networks and neuromorphic processors. Students will learn the tools to implement SNN algorithm in both academic processors and Intel Loihi using data from Event-based Vision camera and biomedical sensors (i.e. ECG and EEG). The course will end with 4 weeks project where the students can target a specif application scenario. The course will be taught in English.

General Information

Language
English
Levels
BSC
Frequency
Semesterly recurring

Examination

Type
ungraded semester performance

Registration & Places

Limited places (Special selection)
Signup Start
14.02.2025
Signup End
28.02.2025
Priority: Registration for the course unit is only possible for the primary target group

Course Components

Type Title Time & Place Hours
practical/laboratory course P&S: Spiking Neural Network on Neuromorphic Processors
Does not take place this semester. Für den Zugang zum Angebot und zur Einschreibung loggen Sie sich hier ein (mit Ihrem n.ETHZ account): Bitte beachten Sie, dass die Seite jeweils erst zwei Wochen vor Semesterbeginn zugänglich ist und im Verlauf des Semesters wieder abgeschaltet wird. Die Einschreibung ist nur von Freitag vor Semesterbeginn bis zum ersten Freitagmittag im Semester möglich. To access the offer and to enroll for courses log in (with your n.ethz account): Please note that the P&S-site is accessible no earlier than two weeks before the start of the semester until four weeks after the start of the semester. Enrollment is only possible from Friday before the start of the semester until noon of the first Friday in the semester.
No time listed 3 h weekly

Offered In