Kevan A.C. Martin: Catalogue data in Spring Semester 2012

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

NumberTitleECTSHoursLecturers
376-1416-00LNeuroscience Information 2 credits2VK. A. Martin, I. Mansuy, M. E. Schwab, B. Tews
AbstractDevelopment and function of the nervous system incl. higher brain functions such as cognition and learning. Introduction into basic concepts and methods in the neurosciences.
ObjectiveUnderstanding of the developing and adult vertebrate nervous system, of the senses, the machinery and functional mechanisms of learning and cognition, and the basic concepts and methods in neurobiology.
ContentThe lectures of Prof. Schwab provide an introduction to the development of the nervous system and the maintenance, plasticity and repair of the nervous system (trophic factors, receptor-tyr-kinases, stem cells); Dr. Tews will talk about neurotransmission, neuropharmacology and glial cells. Prof. Martin’s part will introduce the different sensory systems. The lectures of Prof. Mansuy will introduce higher brain functions such as learning, memory and cognition and will present recent theories and finding of those fields.
Lecture notesThe course will include textbook readings, lecture handouts, and articles from the literature.
Available handouts can be downloaded at https://team.biol.ethz.ch/e-learn/551-0416-00L (Logon: <username>@d.ethz.ch oder d\<username> und ETH Email Password).
LiteratureCampbell, Reece: Biologie (8. Auflage) Pearson Studium

Purves et al.: Neuroscience, 3rd or 4th edition, Sinauer Associates
402-0806-00LComputational Vision6 credits2V + 1UR. J. Douglas, D. Kiper, K. A. Martin
AbstractThis course focuses on neural computations that underlie visual perception. We study how visual signals are processed in the retina, LGN and visual cortex. We study the morpholgy and functional architecture of cortical circuits responsible for pattern, motion, color, and three-dimensional vision.
ObjectiveThis course considers the operation of circuits in the process of neural computations. The evolution of neural systems will be considered to demonstrate how neural structures and mechanisms are optimised for energy capture, transduction, transmission and representation of information. Canonical brain circuits will be described as models for the analysis of sensory information. The concept of receptive fields will be introduced and their role in coding spatial and temporal information will be considered. The constraints of the bandwidth of neural channels and the mechanisms of normalization by neural circuits will be discussed.
The visual system will form the basis of case studies in the computation of form, depth, and motion. The role of multiple channels and collective computations for object recognition will
be considered. Coordinate transformations of space and time by cortical and subcortical mechanisms will be analysed. The means by which sensory and motor systems are integrated to allow for adaptive behaviour will be considered.
ContentThis course considers the operation of circuits in the process of neural computations. The evolution of neural systems will be considered to demonstrate how neural structures and mechanisms are optimised for energy capture, transduction, transmission and representation of information. Canonical brain circuits will be described as models for the analysis of sensory information. The concept of receptive fields will be introduced and their role in coding spatial and temporal information will be considered. The constraints of the bandwidth of neural channels and the mechanisms of normalization by neural circuits will be discussed.
The visual system will form the basis of case studies in the computation of form, depth, and motion. The role of multiple channels and collective computations for object recognition will
be considered. Coordinate transformations of space and time by cortical and subcortical mechanisms will be analysed. The means by which sensory and motor systems are integrated to allow for adaptive behaviour will be considered.
LiteratureBooks: (recommended references, not required)
1. An Introduction to Natural Computation, D. Ballard (Bradford Books, MIT Press) 1997.
2. The Handbook of Brain Theorie and Neural Networks, M. Arbib (editor), (MIT Press) 1995.
402-0899-00LNeuroinformatics - Colloquia Information 0 credits1KR. J. Douglas, R. Hahnloser, D. Kiper, S.‑C. Liu, 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.