Technische Universität Ilmenau

Neuromorphic Engineering 1 - Modultafeln of TU Ilmenau

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module properties module number 200641 - common information
module number200641
departmentDepartment of Electrical Engineering and Information Technology
ID of group2143 (Micro- and Nanoelectronic Systems)
module leaderProf. Dr. Martin Ziegler
languageEnglisch
term Sommersemester
previous knowledge and experience
learning outcome

After the lectures and exercises, the students are able to understand and analyze the principles of neural computation methods so that they can compare various advantages and disadvantages of neuro-inspired networks.

content
  • Biophysical background: neurons, synapses, Data processing invertebrates and vertebrates, Implicit and explicit learning, Short and long-term potentiation, Plasticity
  • Spiking neurons models
  • Hebbian learning theory
  • Neural Networks: an overview (McCulloch-Pitts Neuron, Perceptron, Adalein/Madaline, ART, Boltzmann-Machine)
  • Neuronal analog circuits: Axon Hillock Circuit, LIF-Neuron, STDP, AER

media of instruction and technical requirements for education and examination in case of online participation

PowerPoint presentation, blackboard

literature / references
  • Gerstner and Kistler, Spiking Neuron Models. Single Neurons, Populations, Plasticity, Cambridge University Press, 2002
  • Analog VLSI and Neural Systems, C. Mead, Addison-Wesley Pub. Comp. 1989
evaluation of teaching
Details reference subject
module nameNeuromorphic Engineering 1
examination number2101016
credit points5
SWS4 (2 V, 2 Ü, 0 P)
on-campus program (h)45
self-study (h)105
obligationobligatory module
examwritten examination performance, 90 minutes
details of the certificate
alternative examination performance due to COVID-19 regulations incl. technical requirements
signup details for alternative examinations
maximum number of participants
Details in degree program Master Elektrotechnik und Informationstechnik 2014 (MNE), Master Micro- and Nanotechnologies 2016, Master Micro- and Nanotechnologies 2021, Master Wirtschaftsingenieurwesen 2021 (ET), Master Elektrotechnik und Informationstechnik 2021
module nameNeuromorphic Engineering 1
examination number2101016
credit points5
on-campus program (h)45
self-study (h)105
obligationelective module
examwritten examination performance, 90 minutes
details of the certificate
alternative examination performance due to COVID-19 regulations incl. technical requirements
signup details for alternative examinations
maximum number of participants