392153 Neuromorphic Engineering I (Ü) (WiSe 2012/2013)
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 | Di | 14-15 | V2-235 DEP-Raum | 08.10.2012-01.02.2013 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-NE1 Neuromorphic Engineering 1 | Neuromorphic Engineering I | Study requirement
|
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.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Bioinformatik und Genomforschung / Bachelor | (Enrollment until SoSe 2011) | Wahlpflicht Bioinformatik | Wahlpflicht | 5. | 2 | unbenotet | |
| Bioinformatik und Genomforschung / Master | (Enrollment until SoSe 2012) | Wahlpflicht | 1. | 2 | unbenotet | ||
| Intelligente Systeme / Master | (Enrollment until SoSe 2012) | Grundlagen Ergänzung I; Grundlagen Ergänzung II | Wahlpflicht | 1. | 2 | unbenotet | |
| Kognitive Informatik / Bachelor | (Enrollment until SoSe 2011) | Wahlpflicht Intelligente | Wahlpflicht | 5. | 2 | unbenotet | |
| Naturwissenschaftliche Informatik / Bachelor | (Enrollment until SoSe 2011) | Wahlpflicht Vertiefung | Wahlpflicht | 5. | 2 | unbenotet | |
| Naturwissenschaftliche Informatik / Master | (Enrollment until SoSe 2012) | Grundlagen Ergänzung I; Grundlagen Ergänzung II | Wahlpflicht | 1. | 2 | unbenotet |
Die Veranstaltung Neuromorphic Engineering I 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.
- Registered number: 10
- This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
- Address:
- WS2012_392153@ekvv.uni-bielefeld.de
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- Coverage:
- 2 Students to be reached directly via email
- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Friday, December 11, 2015
- Last update times:
- Friday, September 7, 2012
- Last update rooms:
- Friday, June 22, 2012
- Type(s) / SWS (hours per week per semester)
- exercise (Ü) / 1
- Department
- Faculty of Technology
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