• 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.

Plasticity Engineering & Materials Science
Learning Medicine & Life Sciences
Brain Engineering & Materials Science
Neural networks Engineering & Materials Science
Hardware Engineering & Materials Science
Neurons Engineering & Materials Science
Synapses Medicine & Life Sciences
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 2019

Recurrent neural networks
Reinforcement learning
Complex networks

Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets

Bellec, G., Scherr, F., Hajek, E., Salaj, D., Legenstein, R. & Maass, W., 25 Jan 2019, In : arXiv.org e-Print archive. 2019, p. 1-37 37 p.

Research output: Contribution to journalArticleResearch

Neural networks
Learning algorithms

Brain Computation: A Computer Science Perspective

Maass, W., Papadimitriou, C. H., Vempala, S. & Legenstein, R., 5 Oct 2019, Computing and Software Science.: Lecture Notes in Computer Science. Springer, Cham, Vol. 10000. p. 184-199 16 p.

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review


Activities 1985 2018

Gradient free optimization methods

Darjan Salaj (Speaker), Arjun Rao (Speaker), Thomas Bohnstingl (Speaker)
26 Jun 2018

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

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

Guillaume Emmanuel Fernand Bellec (Speaker), Anand Subramoney (Speaker), Darjan Salaj (Speaker), Robert Legenstein (Speaker), Wolfgang Maass (Speaker)

Activity: Talk or presentationPoster presentationScience 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