• 8010

    Inffeldgasse 16b Graz

    Austria

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 The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

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

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Profiles

No photo of Peter Auer
20022006
No photo of Franz Aurenhammer
19832020

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

Connectome
Reward
Spine
Learning
Synapses

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
Biophysics
Biological systems
Processing

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

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

Learning-to-Learn

Wolfgang Maass (Speaker), Sacha van Albada (Speaker), Franz Scherr (Speaker)
16 Oct 2018

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

Prizes

1. Platz "Inferring Relevance from Eye Movements"

Michael Pfeiffer (Recipient), 2005

Prize: Prizes / Medals / Awards

eyes

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