Das Herbstsemester 2020 findet in einer gemischten Form aus Online- und Präsenzunterricht statt.
Bitte lesen Sie die publizierten Informationen zu den einzelnen Lehrveranstaltungen genau.

Wolfger von der Behrens: Katalogdaten im Herbstsemester 2018

NameHerr Dr. Wolfger von der Behrens
Adresse
Professur für Neurotechnologie
ETH Zürich, Y55 G 54
Winterthurerstrasse 190
8057 Zürich
SWITZERLAND
Telefon+41 44 633 80 82
E-Mailvwolfger@ethz.ch
DepartementInformationstechnologie und Elektrotechnik
BeziehungDozent

NummerTitelECTSUmfangDozierende
227-1037-00LIntroduction to Neuroinformatics Information 6 KP2V + 1UV. Mante, M. Cook, B. Grewe, G. Indiveri, D. Kiper, W. von der Behrens
KurzbeschreibungThe course provides an introduction to the functional properties of neurons. Particularly the description of membrane electrical properties (action potentials, channels), neuronal anatomy, synaptic structures, and neuronal networks. Simple models of computation, learning, and behavior will be explained. Some artificial systems (robot, chip) are presented.
LernzielUnderstanding computation by neurons and neuronal circuits is one of the great challenges of science. Many different disciplines can contribute their tools and concepts to solving mysteries of neural computation. The goal of this introductory course is to introduce the monocultures of physics, maths, computer science, engineering, biology, psychology, and even philosophy and history, to discover the enchantments and challenges that we all face in taking on this major 21st century problem and how each discipline can contribute to discovering solutions.
InhaltThis course considers the structure and function of biological neural networks at different levels. The function of neural networks lies fundamentally in their wiring and in the electro-chemical properties of nerve cell membranes. Thus, the biological structure of the nerve cell needs to be understood if biologically-realistic models are to be constructed. These simpler models are used to estimate the electrical current flow through dendritic cables and explore how a more complex geometry of neurons influences this current flow. The active properties of nerves are studied to understand both sensory transduction and the generation and transmission of nerve impulses along axons. The concept of local neuronal circuits arises in the context of the rules governing the formation of nerve connections and topographic projections within the nervous system. Communication between neurons in the network can be thought of as information flow across synapses, which can be modified by experience. We need an understanding of the action of inhibitory and excitatory neurotransmitters and neuromodulators, so that the dynamics and logic of synapses can be interpreted. Finally, the neural architectures of feedforward and recurrent networks will be discussed in the context of co-ordination, control, and integration of sensory and motor information in neural networks.
227-1039-00LBasics of Instrumentation, Measurement, and Analysis (University of Zurich) Belegung eingeschränkt - Details anzeigen
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: INI502

Mind the enrolment deadlines at UZH:
https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html

Registration in this class requires the permission of the instructors. Class size will be limited to available lab spots.
Preference is given to students that require this class as part of their major.
4 KP9SS.‑C. Liu, T. Delbrück, R. Hahnloser, G. Indiveri, V. Mante, P. Pyk, W. von der Behrens
KurzbeschreibungExperimental data are always as good as the instrumentation and measurement, but never any better. This course provides the very basics of instrumentation relevant to neurophysiology and neuromorphic engineering, it consists of two parts: a common introductory part involving analog signals and their acquisition (Part I), and a more specialized second part (Part II).
LernzielThe goal of Part I is to provide a general introduction to the signal acquisition process. Students are familiarized with basic lab equipment such as oscilloscopes, function generators, and data acquisition devices. Different electrical signals are generated, visualized, filtered, digitized, and analyzed using Matlab (Mathworks Inc.) or Labview (National Instruments).

In Part II, the students are divided into small groups to work on individual measurement projects according to availability and interest. Students single-handedly solve a measurement task, making use of their basic knowledge acquired in the first part. Various signal sources will be provided.
Voraussetzungen / BesonderesFor each part, students must hand in a written report and present a live demonstration of their measurement setup to the respective supervisor. The supervisor of Part I is the teaching assistant, and the supervisor of Part II is task specific. Admission to Part II is conditional on completion of Part I (report + live demonstration).

Reports must contain detailed descriptions of the measurement goal, the measurement procedure, and the measurement outcome. Either confidence or significance of measurements must be provided. Acquisition and analysis software must be documented.
376-1305-01LStructure, Plasticity and Repair of the Nervous System3 KP2VG. Schratt, L. Filli, W. von der Behrens, weitere Dozierende
KurzbeschreibungDer Kurs behandelt die Struktur, Plastizität und Regeneration des adulten Nervensystems (NS) mit Schwerpunkt auf: sensorische Systeme, kognitive Funktionen, Lernen und Gedächtnis, molekulare und zelluläre Mechanismen, Tiermodelle und Krankheiten des NS.
LernzielBasierend auf molekularen, zellulären und biochemischen Ansätzen soll ein vertiefter Einblick in die Struktur, Plastizität und Regeneration des Nervensystems verschafft werden.
InhaltDas Hauptmerk liegt auf der Struktur, Plastizität und Regeneration des NS: Biologie des erwachsenen Nervensystems, Strukturelle Plastizität des adulten Nervensystems, Regeneration und Reparatur, Netzwerke und Nervenfasern, Regeneration, pathologischer Zellverlust.
SkriptETH-Studenten: Skript wird auf Moodle zur Verfügung gestellt https://moodle-app2.let.ethz.ch/course/view.php?id=4487
Einschreibeschlüssel wird zu Beginn der Vorlesung zur Verfügung gestellt.

UZH-Studenten: Skript wird auf OLAT zur Verfügung gestellt https://www.olat.uzh.ch/olat/dmz/
LiteraturDiese Vorlesung setzt das Lesen von Buchkapiteln, Handouts und Originalliteratur voraus. Weitere Informationen dazu werden in den verschiedenen Vorlesungsstunden abgegeben bzw. sind im Moodle / OLAT vermerkt.
376-1305-10LNeurobiology Information 6 KP4VG. Schratt, E. Stoeckli, L. Filli, W. von der Behrens, weitere Dozierende
KurzbeschreibungEntwicklung des Nervensystems (NS), adultes NS; Plastizität & Regeneration. Sensorische Systeme, Kognitive Funktionen, Lernen und Gedächtnis; molekulare und zelluläre Mechanismen, Tiermodelle, Krankheiten des NS.
LernzielEinblick verschaffen in die normale Entwicklung, die Plastizität und die Regeneration des Nervensystems auf Grund molekularer, zellulärer und biochemischer Ansätze.
InhaltEinblick verschaffen in die normale Entwicklung, die Plastizität und die Regeneration des Nervensystems auf Grund molekularer, zellulärer und biochemischer Ansätze.
SkriptStructure, Plasticity and Repair of the Nervous System (376-1305-01L): Skript wird auf Moodle zur Verfügung gestellt https://moodle-app2.let.ethz.ch/course/view.php?id=694
Einschreibeschlüssel wird zur Beginn der Vorlesung zur Verfügung gestellt.

Development of the Nervous System (376-1305-00L): Skript wird auf OLAT zur Verfügung gestellt https://www.olat.uzh.ch/olat/dmz/
LiteraturDiese Vorlesung setzt das Lesen von Buchkapiteln, Handouts und Originalliteratur voraus. Weitere Informationen dazu werden in den verschiedenen Vorlesungsstunden abgegeben.