Technische Universität Ilmenau

Neuromorphic Engineering 2 - Modultafeln of TU Ilmenau

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module properties Neuromorphic Engineering 2 in degree program Diplom Elektrotechnik und Informationstechnik 2017
module number200669
examination number2101049
departmentDepartment of Electrical Engineering and Information Technology
ID of group 2143 (Micro- and Nanoelectronic Systems)
module leaderProf. Dr. Martin Ziegler
term winter term only
credit points5
on-campus program (h)45
self-study (h)105
obligationelective module
examwritten examination performance, 90 minutes
details of the certificate

Im Rahmen der Übung können die Teilnehmer Bonuspunkte für die erfolgreiche Bearbeitung bestimmter (vom Prüfer festgelegter) Teilaufgaben sammeln, welche zur Verbesserung der schriftlichen Prüfungsleistung mitangerechnet werden können.

In the frame of the seminars you can gain bonus points for some of the excercises (pre-defined by the teacher). These points can be used to improve your written exam.

signup details for alternative examinations
maximum number of participants
previous knowledge and experience
Neuromorphic Engineering 1
learning outcome

After the lectures and exercises, the students are able to understand and analyze the principles of biological sensing and information processing and the adaptation of these principles in technological system. They can compare different neuromorphic sensors, regarding their underlying principles and performance, and know about advantages and disadvantages of these technologies compared to conventional sensors.

  • Biophysical background: biological sensors (vision, auditory, olfactory, tactile), pre-processing at sensor level, sensory adaptation, and processing methods and pathways for sensory information
  • Asynchronous ouput representation/ Adress-event representation
  • Event-driven computation
  • Nonlinear dynamics: an overview (bifurcations and their properties, fix-point analysis)
  • Neuromorphic vision sensors
  • Neuromorphic auditory sensors
  • Sensor fusion for neuromorphic sensors
  • Application in the robotic and medical field (retinal/cochlea implants)

media of instruction

PowerPoint presentation, blackboard

literature / references

Analog VLSI and Neural Systems, C. Mead, Addison-Wesley Pub. Comp. 1989

evaluation of teaching