Seminar Computational Intelligence E (708.115)

WS 2008

Institut für Grundlagen der Informationsverarbeitung (708)

Lecturer: O.Univ.-Prof. Dr. Wolfgang Maass

Office hours: by appointment (via e-mail)


Location: IGI-seminar room, Inffeldgasse 16b/I, 8010 Graz
Date: Thursday, 16:15-18:15 p.m.
starting on October 9th, 2008 (organization meeting; you can also reserve a talk by sending email to )

Content of the seminar:

New Research Results in Computational Neuroscience, Gene Regulation Networks and Machine Learning.

We will discuss new publications in these areas. Several of the topics are chosen so that they are also accessible by master students with no prior research experience, and may provide inspiration and material for master projects and theses. For new students it is recommended that they simultaneously attend the course

Remark: Several of the topics of this seminar are related to the 4-year EU-project SECO (Self-Constructing Circuits)
that has started in April of this year.


Robert Legenstein
Pastalkova E, Itskov V, Amarasingham A, Buzsáki G.
Internally generated cell assembly sequences in the rat hippocampus.
Science. 2008 Sep 5;321(5894):1322-7
Presentation: PDF

Roman Zeleznik
M. Dorigo, M. Birattari, T. Stützle
Ant Colony Optimization: Artificial ants as a computational intelligence technique, IEEE Computational Intelligence Magazine, 2006
E. Bonabeau, G. Theraulaz
Swarm Smarts, Scientific American, 2000
Presentation: PDF

Lars Büsing
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Presentation: PDF

Oana Tomescu
Bennett MR, Pang WL, Ostroff NA, Baumgartner BL, Nayak S, Tsimring LS, Hasty J.
Metabolic gene regulation in a dynamically changing environment.
Nature. 2008 Aug 28;454(7208):1119-22
Presentation: PDF

Gerhard Neumann
Fitted Q-iteration by Advantage Weighted Regression
Presentation: PDF

Gregor Hörzer
Jones LM, Fontanini A, Sadacca BF, Miller P, Katz DB.
Natural stimuli evoke dynamic sequences of states in sensory cortical ensembles.
Proc Natl Acad Sci U S A. 2007 Nov 20;104(47):18772-7.
Presentation: PDF

Klaus Schuch
Fontanini A, Katz DB.
Behavioral states, network states, and sensory response variability.
J Neurophysiol. 2008 Sep;100(3):1160-8.
Presentation: PDF

Karin Schöfegger
Losonczy A, Makara JK, Magee JC.
Compartmentalized dendritic plasticity and input feature storage in neurons. Nature. 2008 Mar 27, 436-441
Presentation: PDF

Stefan Häusler
Luczak A, Barthó P, Marguet SL, Buzsáki G, Harris KD.
Sequential structure of neocortical spontaneous activity in vivo.
Proc Natl Acad Sci U S A. 2007 Jan 2;104(1):347-52
Presentation: PDF

Michael Pfeiffer
Harris KD. Stability of the fittest: organizing learning through retroaxonal signals.
Trends Neurosci. 2008 Mar;31(3):130-6
Presentation: PDF

19.1.2009 (Monday)
Michael Jahrer
Combining predictions: on overview
Ali K. M., Pazzani M. J.
Error reduction through learning multiple descriptions.
Machine Learning, 1996
Breiman L.
Bagging predictors.
Machine Learning, 1996
Freund Y., Schapire R. E. (1997)
A decision-theoretic generalization of on-line learning and an application to boosting.
Ting K. M., Witten I. H. (1999)
Issues in stacked generalization.
Presentation: PDF

Andreas Töscher
Negative Correlation Learning
Diversity in Neural Network Ensembles
Brown G., PhD Thesis, 2004
Presentation: PDF

Maria Fischer und Lars Büsing
Cory SM, Perkins TJ.
Implementing arithmetic and other analytic operations by transcriptional regulation.
PLoS Comput Biol. 2008 May 9;4(4)
Presentation: PDF
Presentation: PDF

26.1.2009 (Monday)
Stefan Klampfl
N. Li and J. J. DiCarlo
Unsupervised natural experience rapidly alters invariant object representation in visual cortex.
Science, 321: 1502-1507, 2008
Presentation: PDF

Dejan Pecevski:
Botvinivk, Niv, Barto: Hierarchically  organized behaviour and its neural foundation: A Reinforcement learning perspective foundation
Presentation: PDF

Bernhard Nessler
The Neural Basis of Perceptual Learning
CD Gilbert, M Sigman, RE Crist - Neuron, 2001
(see also Visual Priming, K. Grill-Spector, pp.219 -236 in Learning and Memory, J.H. Byrne, ed., vol. 3)

2009-02-05, a.zehetner