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 | |
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 |
summer semester 2023 elective module
|
course material | see page of the course |
prerequisites | -- |
content and objectives |
Content of the module:
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. |