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Neuromorphic VLSI Systems

(last update: 2022/03/25)

lecturer in charge	Prof. Dr.-Ing. habil. Christian Mayr, Dr.-Ing. Johannes Partzsch, Dr.-Ing. Stephan Henker, Dipl.-Phys. Bernhard Vogginger

contact persons	Dr.-Ing. Johannes Partzsch, Dr.-Ing. Stephan Henker
module	"Neuromorphic VLSI Systems" (ET-12 08 27) / (NES-12 08 06)
modes of teaching and learning	4 hours per week (SWS) lecture, 2 SWS exercises
examination	assignment paper and presentation (see module description)
frequency	every summer semester (timeline) summer semester 2023 elective module consecutive Master’s programme "Nanoelectronic Systems",
course material	see page of the course
prerequisites	--
content and objectives	Content of the module: Methods for design and sizing of integrated analogue CMOS circuits Neuromorphic VLSI systems: neurobiological fundamentals, common abstraction models, and application in science and technology, e.g. in brain machine interfaces and for signal processing Fundamentals, concepts and methods of design and analysis of analogue and neuromorphic CMOS circuits using the design framework Cadence DF2. The module consists of lectures on fundamentals of neuromorphic systems and on CMOS circuit design, as well as accompanying computer exercises using the corresponding VLSI design tools.
Objectives	After completing the module, students are literate in the field of neural networks from neurobiological principles up to applications. They are able to use industrial design tools (Cadence DF2, Spectre), to design and size CMOS circuits, to verify parameters and constraints by simulation and to design circuit layouts.

Jürgen Dohndorf

Last modified: Mar 22, 2023