PLEASE CHECK BACK REGULARLY, DATES & PLACES MAY CHANGE!
|What||When / How?|
|Kick Off Meeting||19.10.2017, 16:30 - 18:00, N1039|
|Presentation Techniques||23.10.2017, starting at 10:30, N0507 (LSR)|
|Initial Report Submission||07.12.2017, 12:00, per e-mail to firstname.lastname@example.org|
|Review Submission||21.12.2017, 12:00, per e-mail to email@example.com|
|Final Report Submission||11.01.2018, 12:00, per e-mail to firstname.lastname@example.org|
|Final Presentation||18.01.2018, 16:30 - 18:00, N1039|
If you missed the kick-off meeting, get in touch Nicolai Waniek as soon as possible.
- Models of short-term plasticity in spiking neural networks
- Causality and probabilistic inference in spiking neural networks
- Spiking neural network applications for robot motion control
- A survey on neural simulation environments
- Neural encoding schemes for spiking neural networks
- Survey of Learning Approaches for Spiking Neural Networks
- NeuCube Spiking Neural Network Algorithm for Non-Invasive Brain-Computer Interfaces
- Object Tracking using Spiking Neural Networks
- Spiking neural networks in event-based vision processing
- Theory and Possible Applications of Tempotrons and Aggregate-Label Learning
Advanced Seminar NeuroEngineering
|Language of instruction||English|
|Position within curricula||See TUMonline|
- 19.10.2017 16:30-18:00 N1039, Seminarraum
19.10.2017 16:30-18:00 N0314, Hörsaal m. Exp.-Bühne*
- 18.01.2018 16:30-18:00 N1039, Seminarraum
Course criteria & registration
By participating in this module course the student gains knowledge in NeuroEngineering. After the participation the student is capable to work in a scientific way on a topic of recent research interest in cognitive control, robotics and automation and to write a written scientific report. Furthermore, the student has the abilities to present the new findings to an audience of specialists.
Varying focus topics of NeuroEngineering, in particular - Neuronal Implants, Brain-Computer-Interfaces, Neural Prostheses. - Neuronal Sensors und Actuators, - Algorithms and systems for neuronal information processing - Neuronal knowledge representation and storage. The participants of the module read and understand recent research articles (publications) by themselves, write an evaluative report and present their results. The topic is discussed extensively.
The participants of the module read and understand recent research articles (publications) by themselves, write an evaluative report and present their results. The topic is discussed extensively.