Fachbereich 6 Mathematik/Informatik

Institut für Informatik

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Neuromorphic computing: Principles, Implementation of Computing with neuroinspired technologies (Block seminar tought by Dr. Daniel Brunner)




Neuromorphic Technologies are becoming a important element of days edge devices. These technologies are all based on silicon based chips, that inherit some of the fundamental features of neuro inspired computing. While this is exciting, these designs can be seen as accelerators that lack significant fraction of the most important features of neuroinspired computing. This course will introduce the basics of neuromorphic computing, and will study existing technologies that have the potential to go beyond the today’s neuropathic implementation. Among the technologies that will be discussed, are optical compute systems that both, commute and communicate with light. Additionally, computing with complex dynamical systems, ranging from complex molecules, to biological substances, and membranes will be discussed. Aim of the course is to enable students to understand the principles of neuromorphic computing, and to allow them to navigate in the international research community in that field to get connected and to plan future studies.

Montag; 07.November 09:00-10:30 // 10:30-11:00 // 11:00 - 12:30 // 12:30-13:00
Dienstag; 08.November 09:00-10:30 // 10:30-11:00 // 11:00 - 12:30 // 12:30-13:00
Mittwoch; 09.November 09:00-10:30 // 10:30-11:00 // 11:00 - 12:30 // 12:30-13:00

Weitere Angaben

Ort: nicht angegeben
Zeiten: Termine am Montag, 07.11.2022 - Mittwoch, 09.11.2022 08:15 - 13:00, Donnerstag, 10.11.2022 - Freitag, 11.11.2022 08:00 - 14:00
Erster Termin: Montag, 07.11.2022 08:15 - 13:00
Veranstaltungsart: Seminar (Offizielle Lehrveranstaltungen)


  • Cognitive Science > Bachelor-Programm
  • Cognitive Science > Master-Programm