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MSc in Neural Systems and Computation

Elective Core Modules

The elective core modules are divided into three categories, covering the basics of neural computation in experiment, theory, and technology. Students need to obtain a total of 18 ECTS credits from elective core modules with at least 9 ECTS credits from each of two of the three categories listed below. Students who accumulate more than 18 ECTS with the elective core modules can have these extra ECTS counted as elective modules (elective modules can thus be seen as optional). Credit points for each course are obtained after successfully passing an oral or written examination.

Systems Neuroscience

Systems Neuroscience covers the anatomy and physiology of vertebrate brain areas with an emphasis on computational function.

Current courses include:

  • Introduction to Neuroinformatics, by Matthew Cook, Benjamin Grewe, Giacomo Indiveri, Valerio Mante, Daniel Kiper, and Wolfger von der Behrens, 6 ECTS
  • Neural Systems, by Richard Hahnloser, Mehmet Fatih Yanik, and Benjaming Grewe, 6 ECTS
  • Systems Neuroscience, by Daniel Kiper, 6 ECTS
  • Computational Vision, by Daniel Kiper, 6 ECTS

Neural Computation and Theoretical Neurosciences

Neural Computation and Theoretical Neurosciences covers state-of-art approaches to understanding the information content of neural signals, and biophysical models of neural systems at the level of single cells and of networks. It also covers aspects of computation in a broader sense based on neuron-like computational primitives.

Current courses include:

  • Introduction to Neuroinformatics, by Matthew Cook, Benjamin Grewe, Giacomo Indiveri, Valerio Mante, Daniel Kiper, and Wolfger von der Behrens, 6 ECTS
  • Neural Systems, by Richard Hahnloser, Mehmet Fatih Yanik, and Benjamin Grewe, 6 ECTS
  • Translational Neuromodeling, by Klaas Enno Stephan, 8 ECTS (previously 6 ECTS)
  • Models of Computation, by Matthew Cook, 6 ECTS (for the last time spring semester 2024)
  • Learning in Deep Artificial and Biological Neuronal Networks, by Benjamin Grewe, 4 ECTS

Neurotechnologies and Neuromorphic Engineering

Neurotechnologies and Neuromorphic Engineering covers the basics of transistor physics and of electronic circuits mimicking neural sensing and signal processing.

Current courses include:

  • Introduction to Neuroinformatics, by Matthew Cook, Benjamin Grewe, Giacomo Indiveri, Valerio Mante, Daniel Kiper, and Wolfger von der Behrens, 6 ECTS
  • Neuromorphic Engineering I, by Tobi Delbruck,  Shih-Chii Liu, and Melika Payvand, 6 ECTS
  • Neuromorphic Engineering II, by Tobi Delbruck, Giacomo Indiveri, Shih-Chii Liu, and Melika Payvand, 6 ECTS
  • Neuromorphic Intelligence, by Elisa Donati and Giacomo Indiveri, 6 ECTS
  • Bioelectronics and Biosensors, by Janos Vörös and Fatih Yanik, 6 ECTS

Note about Introduction to Neuroinformatics

The 6 ECTS for the course Introduction to Neuroinformatics can be split to count in two categories. This is true only for this course.