Today's most powerful computers are still outperformed by biological brains in routine functions such as vision, audition, and motor control. The reasons for this gap between biological and artificial systems are not fully understood. Understanding the principles of biological computation and how to implement them in hardware, is crucial for developing novel techniques for information processing.
Neuromorphic engineering attempts to use the principles and style of computation observed in biology. Neuromorphic systems emphasize distributed, collective, self-organized, eventdriven mechanisms. The building blocks of these systems are analog circuits in which transistors are mostly operated weak inversion (below threshold), where their exponential I-V characteristics and low currents can be exploited. These features allow the implementation of massively parallel, low-power spiking recurrent neural networks as well as e�cient sensors.
Students will learn about neuromorphic chip design and layout using CAD software tools. The design of a small but complete neuromorphic chip will be carried out by the students during the second part of the module.
Frequency | Weekday | Time | Format / Place | Period |
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Module | Course | Requirements | |
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39-M-Inf-NE2 Neuromorphic Engineering 2 | Neuromorphic Engineering II | Student information | |
- | Graded examination | Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
Basic requirement to attend the module Neuromorphic Engineering II: the module Neuromorphic Engineering I.
The lecture Neuromorphic Engineering II is a module, which will be lectured in English. It consist of a lecture, a weekly exercise, a weekly laboratory and an oral examination. Since NE II is a module, it is necessary to attend all the part-sessions to get the credit points. In case of an achievement of all the items of works, 10 credit points will be assigned. Please note, that in case you want to attend the module, you have to add all the part-lectures (lecture, exercise, laboratory) in your schedule in the eKVV. The times for the exercise and the lab are defined in the eKVV, but might be rescheduled in the first lecture.
German:
Grundvoraussetzung für die Teilnahme an der Modulveranstaltung Neuromorphic Engineering II ist das erfolgreiche Abschließen des Moduls Neuromorphic Engineering I.
Die Veranstaltung Neuromorphic Engineering II ist eine Modulveranstaltung, die in englischer Sprache gehalten wird. Sie besteht aus einer Vorlesung, einer wöchentlichen Übung, einem wöchentlichen Praktikum und einer mündlichen Prüfung. Da es sich um eine Modulveranstaltung handelt, ist es für den Erhalt der LP notwendig, an allen Teilveranstaltungen teilzunehmen. Es werden insgesamt 10 LP vergeben, sofern alle erforderlichen Teilleistungen erbracht wurden. Bitte bei Besuch dieser Veranstaltung, alle Teilveranstaltungen (Vorlesung, Übung, Praktikum) im eKVV in den Stundenplan aufnehmen. Die Zeiten für die Übung und das Praktikum wurden im eKVV festgelegt, können aber bei Bedarf in der ersten Vorlesungsstunde in Absprache mit den Teilnehmern neu vereinbart werden.
A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there: