 |
|
||||||||||
Machine Learning Laboratory
Spotlight
Computational models of brain connectivity, coupled with machine learning algorithms, make it possible to infer neuronal disease mechanisms from
non-invasive functional magnetic resonance imaging (fMRI) data in humans.
This illustration shows how dynamic systems models can be used for reducing
complex (high-dimensional) brain activity data to a simple (low-dimensional)
and mechanistically interpretable representation (Brodersen et al., PLoS
Comput. Biol. 2011). Please also see the summary on ETH Life.
|
Welcome to the Machine Learning Laboratory of ETH Zurich, Switzerland. |
|
|
The laboratory is organized by the Chair of Information Science and Engineering, situated in the Computer Science Department. This server offers comprehensive information on our group such as current research, teaching activities and our publications. |
ETH Zurich
Prof. Dr. Joachim Buhmann
Department of Computer Science
CAB G 69.2
Universitaetstrasse 6
8092 Zurich, Switzerland
+41 44 632 31 24 phone (direct)
+41 44 632 64 96 phone (office)
+41 44 632 15 62 fax
Consulting hours: every Monday 11-12 a.m.
Here you can find travel directions.
Wichtiger Hinweis:
Diese Website wird in älteren Versionen von Netscape ohne
graphische Elemente dargestellt. Die Funktionalität der
Website ist aber trotzdem gewährleistet. Wenn Sie diese
Website regelmässig benutzen, empfehlen wir Ihnen, auf
Ihrem Computer einen aktuellen Browser zu installieren. Weitere
Informationen finden Sie auf
folgender
Seite.
Important Note:
The content in this site is accessible to any browser or
Internet device, however, some graphics will display correctly
only in the newer versions of Netscape. To get the most out of
our site we suggest you upgrade to a newer browser.
More
information
