Kevan A.C. Martin: Catalogue data in Autumn Semester 2016

Name Prof. Dr. Kevan A.C. Martin
Address
Institut für Neuroinformatik
ETH Zürich, Y55 G 27
Winterthurerstrasse 190
8057 Zürich
SWITZERLAND
Award: The Golden Owl
Telephone+41 44 635 30 51
E-mailmartink@ethz.ch
DepartmentInformation Technology and Electrical Engineering
RelationshipProfessor Emeritus

NumberTitleECTSHoursLecturers
227-1037-00LIntroduction to Neuroinformatics Information 6 credits2V + 1UK. A. Martin, M. Cook, V. Mante, M. Pfeiffer
AbstractThe 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.
ObjectiveUnderstanding 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.
ContentThis 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.
227-1043-00LNeuroinformatics - Colloquia (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: INI701

Mind the enrolment deadlines at UZH:
http://www.uzh.ch/studies/application/mobilitaet_en.html
0 credits1KS.‑C. Liu, R. Hahnloser, V. Mante, K. A. Martin
AbstractThe colloquium in Neuroinformatics is a series of lectures given by invited experts. The lecture topics reflect the current themes in neurobiology and neuromorphic engineering that are relevant for our Institute.
ObjectiveThe goal of these talks is to provide insight into recent research results. The talks are not meant for the general public, but really aimed at specialists in the field.
ContentThe topics depend heavily on the invited speakers, and thus change from week to week.
All topics concern neural computation and their implementation in biological or artificial systems.
376-1305-01LStructure, Plasticity and Repair of the Nervous System Information 3 credits2VM. E. Schwab, L. Filli, K. A. Martin, further lecturers
AbstractThe course covers the structure, plasticity and regeneration of the adult nervous system (NS) with focus on: sensory systems, cognitive functions, learning and memory, molecular and cellular mechanisms, animal models, and diseases of the NS.
ObjectiveThe aim is to give a deepened insight into the structure, plasticity and regeneration of the nervous system based on molecular, cellular and biochemical approaches.
ContentThe main focus is on the structure, plasticity and regeneration of the NS: biology of the adult nervous system; structural plasticity of the adult nervous system, regeneration and repair: networks and nerve fibers, regeneration, pathological loss of cells.
Lecture notesETH students: Lecture notes will be provided on Moodle https://moodle-app2.let.ethz.ch/course/view.php?id=694
Password will be provided at the beginning of the lecture.

UZH students: Lecture notes will be provided on OLAT: https://www.olat.uzh.ch/olat/dmz/
LiteratureThe lecture requires reading of book chapters, handouts and original scientific papers. Further information will be given in the individual lectures and are mentioned on Moodle / OLAT.
376-1305-10LNeurobiology Information 6 credits4VM. E. Schwab, E. Stoeckli, L. Filli, K. A. Martin, further lecturers
AbstractDevelopment of the nervous system (NS); the adult NS, plasticity and regeneration, sensory systems, cognitive functions, learning and memory, molecular and cellular mechanisms, animal models, diseases of the NS.
ObjectiveOverview of normal development, plasticity and regeneration of the nervous system based on molecular, cellular and biochemical approaches.
ContentDevelopment: Early development of the nervous system, cellular level, nerve fiber growth, building of neuronal networks; biology of the adult nervous system; structural plasticity of the adult nervous system, regeneration and repair: networks and nerve fibers, regeneration, pathological loss of cells.
Lecture notesStructure, Plasticity and Repair of the Nervous System (376-1305-01L): Lecture notes will be provided on Moodle https://moodle-app2.let.ethz.ch/course/view.php?id=694
Password will be provided at the beginning of the lecture.

Development of the Nervous System (376-1305-00L): Lecture notes will be provided on OLAT https://www.olat.uzh.ch/olat/dmz/
LiteratureThe lecture requires reading of book chapters, handouts and original scientific papers. Further information will be given in the individual lectures.