392154 Neuromorphic Engineering II (Pr) (SoSe 2018)
Short comment
- Modulveranstaltung wird in englischer Sprache gehalten
Contents, comment
-
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 acquire basic analog design skills necessary to understand the
building blocks of neuromorphic engineering. They will become familiar with the
most widely used neuronal and synaptic circuits.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Fr | 9-13 | CITEC 1.016 | 09.04.-20.07.2018 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-NE2 Neuromorphic Engineering 2 | Neuromorphic Engineering II | Study requirement
|
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 can be remade according to the students (if required)
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.
- Address:
- SS2018_392154@ekvv.uni-bielefeld.de
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- Notes:
- Additional notes on the electronic mailing lists
- Email archive
- Number of entries 0
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- Last update basic details/teaching staff:
- Tuesday, December 5, 2017
- Last update times:
- Thursday, February 15, 2018
- Last update rooms:
- Thursday, February 15, 2018
- Type(s) / SWS (hours per week per semester)
- internship (Pr) / 4
- Language
- This lecture is taught in english
- Department
- Faculty of Technology
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