• 8010

    Inffeldgasse 16b Graz


Organization profile

Profile Information

This institute was founded in 1992 to investigate fundamental problems in information processing such as the design of computer algorithms, the complexity of computations and computational models, automated knowledge acquisition (machine learning), the complexity of learning algorithms, pattern recognition with artificial neural networks, computational geometry, and information processing in biological neural systems. Its research integrates methods from mathematics, computer science and computational neuroscience. In education this institute is responsible for courses and seminars that introduce students of Technische Mathematik and Telematik into the basic techniques and results of theoretical computer science. In addition it offers advanced courses, seminars and applied computer projects in computational geometry, computational complexity theory, machine learning, and neural networks.

Fingerprint Dive into the research topics where Institute of Theoretical Computer Science (7080) is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Learning Medicine & Life Sciences
Neural networks Engineering & Materials Science
Plasticity Engineering & Materials Science
Neurons Medicine & Life Sciences
Synapses Medicine & Life Sciences
Brain Engineering & Materials Science
Hardware Engineering & Materials Science
Pyramidal Cells Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.


No photo of Peter Auer
No photo of Franz Aurenhammer
No photo of Oliver Friedl

Research Output 1983 2018

A dynamic connectome supports the emergence of stable computational function of neural circuits through reward-based learning

Kappel, D., Legenstein, R., Habenschuss, S., Hsieh, M. & Maass, W., 1 Mar 2018, In : eNeuro. 5, 2, 27 p., e0301-17.2018.

Research output: Contribution to journalArticleResearchpeer-review


Bioinspired approach to modeling retinal ganglion cells using system identification techniques

Vance, P. J., Das, G. P., Kerr, D., Coleman, S. A., McGinnity, T. M., Gollisch, T. & Liu, J. K., 1 May 2018, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 5, p. 1796-1808 13 p.

Research output: Contribution to journalArticleResearchpeer-review

Identification (control systems)
Computer vision
Biological systems

Camera-based vehicle velocity estimation from monocular video

Kampelmühler, M. D., Müller, M. G. & Feichtenhofer, C., 5 Feb 2018, Computer Vision Winter Workshop (CVWW), 2018.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Activities 1985 2018

Long short-term memory and learning-to-learn in networks of spiking neurons

Robert Legenstein (Speaker)
22 May 2018

Activity: Talk or presentationInvited talkScience to science

L2L tunes liquids with task-specific readouts

Franz Scherr (Speaker)
26 Jun 2018

Activity: Talk or presentationTalk at workshop, seminar or courseScience to science

SP9 science: L2L

Wolfgang Maass (Speaker), Franz Scherr (Speaker), Darjan Salaj (Speaker), Anand Subramoney (Speaker)
17 Jun 2018

Activity: Talk or presentationTalk at workshop, seminar or courseScience to science


1. Platz "Inferring Relevance from Eye Movements"

Michael Pfeiffer (Recipient), 2005

Prize: Prizes / Medals / Awards


Adjunct Fellow

Wolfgang Maass (Recipient), 1 May 2005

Prize: Prizes / Medals / Awards

Best Paper Award

Helmut Hauser (Recipient), Auke J. Ijspeert (Recipient), Gerhard Neumann (Recipient) & Wolfgang Maass (Recipient), 2007

Prize: Prizes / Medals / Awards

Projects 1994 2022