Shih-Chii Liu: Catalogue data in Spring Semester 2012

Name PD Dr. Shih-Chii Liu
FieldNeuromorphic and bio-inspired circuits and systems
Address
Institut für Neuroinformatik
ETH Zürich, Y55 G 86
Winterthurerstrasse 190
8057 Zürich
SWITZERLAND
Telephone+41 44 635 30 47
E-mailscliu@ethz.ch
URLhttp://www.ini.uzh.ch/~shih
DepartmentPhysics
RelationshipPrivatdozentin

NumberTitleECTSHoursLecturers
402-0804-00LNeuromorphic Engineering II Information 6 credits5GT. Delbrück, G. Indiveri, S.‑C. Liu
AbstractThis course teaches the basics of analog chip design and layout with an emphasis on neuromorphic circuits, which are introduced in the fall semester course "Neuromorphic Engineering I".
Learning objectiveDesign of a neuromorphic circuit for implementation with CMOS technology.
ContentThis course teaches the basics of analog chip design and layout with an emphasis on neuromorphic circuits, which are introduced in the autumn semester course "Neuromorphic Engineering I".

The principles of CMOS processing technology are presented. Using a set of inexpensive software tools for simulation, layout and verification, suitable for neuromorphic circuits, participants learn to simulate circuits on the transistor level and to make their layouts on the mask level. Important issues in the layout of neuromorphic circuits will be explained and illustrated with examples. In the latter part of the semester students simulate and layout a neuromorphic chip. Schematics of basic building blocks will be provided. The layout will then be fabricated and will be tested by students during the following fall semester.
LiteratureS.-C. Liu et al.: Analog VLSI Circuits and Principles; software documentation.
Prerequisites / NoticePrerequisites: Neuromorphic Engineering I strongly recommended
402-0899-00LNeuroinformatics - Colloquia Information 0 credits1KR. J. Douglas, R. Hahnloser, D. Kiper, S.‑C. Liu, K. A. Martin
AbstractThe colloquium in Neuroinformatics is a series of lectures given by invited experts. The lecture topics reflect the current themes in neurobiology and neuromorphic engineering that are relevant for our Institute.
Learning objectiveThe goal of these talks is to provide insight into recent research results. The talks are not meant for the general public, but really aimed at specialists in the field.
ContentThe topics depend heavily on the invited speakers, and thus change from week to week. All topics concern neural computation and their implementation in biological or artificial systems.