Neuromorphic Engineering 1 - Interactive curriculae of TU Ilmenau

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module properties module number 200641 - common information
module number	200641
department	Department of Electrical Engineering and Information Technology
ID of group	2143 (Micro- and Nanoelectronic Systems)
module leader	Dr. Frank Schwierz
language	Englisch
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 name	Neuromorphic Engineering 1
examination number	2101016
credit points	5
SWS	4 (2 V, 2 Ü, 0 P)
on-campus program (h)	45
self-study (h)	105
obligation	obligatory module
exam	written examination performance, 90 minutes
details of the certificate
link to Moodle course
teacher
signup details for alternative examinations
maximum number of participants

Details in degree program Master Elektrotechnik und Informationstechnik 2014 (MNE), Master Micro- and Nanotechnologies 2016, Diplom Elektrotechnik und Informationstechnik 2021, Bachelor Elektrotechnik und Informationstechnik 2021, Master Wirtschaftsingenieurwesen 2021 (ET), Master Elektrotechnik und Informationstechnik 2021, Master Micro- and Nanotechnologies 2021, Master Wirtschaftsingenieurwesen 2024 (ET)
module name	Neuromorphic Engineering 1
examination number	2101016
credit points	5
on-campus program (h)	45
self-study (h)	105
obligation	elective module
exam	written examination performance, 90 minutes
details of the certificate
link to Moodle course
signup details for alternative examinations
maximum number of participants