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    Inffeldgasse 16b Graz

    Austria

Research Output 1983 2018

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Poster
2017

A model for the formation of associations between memory items in the brain

Pokorny, C., Ison, M., Legenstein, R. & Maass, W., 2017.

Research output: Contribution to conferencePosterResearch

2015

Neural Computation with Assemblies and Assembly Sequences

Pokorny, C., Griesbacher, G., Jonke, Z. & Legenstein, R., 2015.

Research output: Contribution to conferencePosterResearch

Reward-based network plasticity as Bayesian inference

Maass, W., Kappel, D., Habenschuss, S. & Legenstein, R., 2015.

Research output: Contribution to conferencePosterResearch

Stochastic network plasticity as Bayesian inference

Legenstein, R., Kappel, D., Habenschuss, S. & Maass, W., 2015.

Research output: Contribution to conferencePosterResearch

Synaptic Plasticity as Bayesian Inference

Kappel, D., Habenschuss, S., Legenstein, R. & Maass, W., 2015.

Research output: Contribution to conferencePosterResearch

2014

Cell assembly self-organization in ensembles of pyramidal cells with relaxed lateral inhibition

Griesbacher, G., 2014.

Research output: Contribution to conferencePosterResearch

Self-organization in spiking neural networks

Griesbacher, G., 2014.

Research output: Contribution to conferencePosterResearch

STDP installs in winner-take-all circuits an online approximation to hidden Markov model learning

Kappel, D., 2014.

Research output: Contribution to conferencePosterResearch

2013

Implementation of a new independent SSVEP-based BCI

Lesenfants, D., Habbal, D., Pokorny, C., Chatelle, C., Horki, P., Gomez, F., Soddu, A., Müller-Putz, G., Laureys, S. & Noirhomme, Q., 2013.

Research output: Contribution to conferencePosterResearch

Local inhibition facilitates synaptic learning in spatially extended Bayesian spiking networks

Bill, J., Buesing, L., Habenschuss, S., Nessler, B., Legenstein, R. & Maass, W., 2013.

Research output: Contribution to conferencePosterResearch

Networks of spiking neurons with noise have an inherent capability to generate heuristic solutions to complex constraint satisfaction problems

Habenschuss, S., Jonke, Z. & Maass, W., 2013.

Research output: Contribution to conferencePosterResearch

Neural circuits naturally encode probability distributions over network states, and over trajectories of network states

Maass, W., Habenschuss, S. & Jonke, Z., 2013.

Research output: Contribution to conferencePosterResearch

Principles for an Alternative Design of Movement Primitives that Uses Probabilistic Inference in Learned Graphical Models

Rückert, E., Kappel, D., Neumann, G., Toussaint, M. & Maass, W., 2013.

Research output: Contribution to conferencePosterResearch

2012

Emergence of Hidden Markov Models through STDP in Networks of Spiking Neurons

Kappel, D., Nessler, B. & Maass, W., 2012.

Research output: Contribution to conferencePosterResearch

Improved feature extraction by pyramidal cells through relaxed lateral inhibition

Jonke, Z., Habenschuss, S., Legenstein, R. & Maass, W., 2012.

Research output: Contribution to conferencePosterResearch

2011

Dendritic computation could support probabilistic inference in networks of spiking neurons

Legenstein, R., Pecevski, D., Büsing, L. H. & Maass, W., 2011.

Research output: Contribution to conferencePosterResearch

Emergence of Optimal Population Decoding through STDP

Habenschuss, S., Puhr, H. & Maass, W., 2011.

Research output: Contribution to conferencePosterResearch

Long range coupling in theta between V4 and prefrontal cortex predicts visual memory performance

Liebe, S., Hörzer, G. M., Logothetis, N. & Rainer, G., 2011.

Research output: Contribution to conferencePosterResearch

Moving a robot arm by exploiting its complex compliant morphology

Griesbacher, G. & Hauser, H., 2011.

Research output: Contribution to conferencePosterResearch

Open Access
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2010

Emergence of Bayesian computation in generic motifs of cortical microcircuits

Büsing, L., Bill, J., Nessler, B., Habenschuss, S. & Maass, W., 2010.

Research output: Contribution to conferencePosterResearch

Oscillatory neuronal synchronization between prefrontal and extrastriate visual cortex during visual memory

Liebe, S., Hörzer, G. M., Logothetis, N. & Rainer, G., 2010.

Research output: Contribution to conferencePosterResearch

2009

An integrated learning rule for branch strength potentiation and STDP

Legenstein, R. & Maass, W., 2009.

Research output: Contribution to conferencePosterResearch

Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning

Legenstein, R., Chase, S. M., Schwartz, A. B. & Maass, W., 2009.

Research output: Contribution to conferencePosterResearch

Integration of stimulus history in information conveyed by neurons in primary auditory cortex in response to tone sequences

Klampfl, S., David, S. V., Yin, P., Shamma, S. A. & Maass, W., 2009.

Research output: Contribution to conferencePosterResearch

Long range coupling between V4 and PF in theta band during visual short-term memory

Liebe, S., Hörzer, G. M., Logothetis, N., Maass, W. & Rainer, G., 2009.

Research output: Contribution to conferencePosterResearch

Reinforcement learning on complex visual stimuli

Wilbert, N., Franzius, M., Legenstein, R. & Wiskott, L., 2009.

Research output: Contribution to conferencePosterResearch

Replacing supervised classification learning with Slow Feature Analysis in spiking neural networks

Klampfl, S., 2009.

Research output: Contribution to conferencePosterResearch

Slowness in hierarchical networks for visual processing

Wilbert, N., Legenstein, R. & Wiskott, L., 2009.

Research output: Contribution to conferencePosterResearch

STDP enables spiking neurons to detect hidden causes of their inputs

Nessler, B., Pfeiffer, M. & Maass, W., 2009.

Research output: Contribution to conferencePosterResearch

STDP performs stochastic EM to reveal the hidden causes of spatiotemporal spiking patterns

Nessler, B., Pfeiffer, M. & Maass, W., 2009.

Research output: Contribution to conferencePosterResearch

2008

A Hebbian Learning Rule for Optimal Decision Making

Pfeiffer, M., Nessler, B. & Maass, W., 2008.

Research output: Contribution to conferencePosterResearch

A unified voltage-based model for STDP, LTP and LTD

Clopath, C., Büsing, L. H., Vasilaki, E. & Gerstner, W., 2008.

Research output: Contribution to conferencePosterResearch

Hebbian Learning of Bayes Optimal Decisions

Nessler, B., Pfeiffer, M. & Maass, W., 2008.

Research output: Contribution to conferencePosterResearch

On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing

Legenstein, R., 2008.

Research output: Contribution to conferencePosterResearch

2007

Self-tuning of neural circuits through short-term synaptic plasticity

Sussillo, D., Toyoizumi T., N. V. & Maass, W., 2007.

Research output: Contribution to conferencePosterResearch

Simplified rules and theoretical analysis for information bottleneck optimization and PCA with spiking neurons

Büsing, L. H., 2007.

Research output: Contribution to conferencePosterResearch

Superposition of information in large ensembles of neurons in primary visual cortex.

Häusler, S., Maass, W., Singer, W. & Nikolic, D., 2007.

Research output: Contribution to conferencePosterResearch

Theoretical analysis of learning with reward-modulated spike-timing-dependent plasticity

Legenstein, R. A., 2007.

Research output: Contribution to conferencePosterResearch

2006

Analysis of Neural Microcircuits on the Systems Level

Legenstein, R. A., 2006.

Research output: Contribution to conferencePosterResearch

Computational consequences of lamina-specific structure in cortical microcircuit models

Häusler, S. & Maass, W., 2006.

Research output: Contribution to conferencePosterResearch

Computational consequences of lamina-specific structure in cortical microcircuit models.

Häusler, S. & Maass, W., 2006.

Research output: Contribution to conferencePosterResearch

Extracting Independent Components with Spiking Neurons

Klampfl, S., Legenstein, R. A. & Maass, W., 2006.

Research output: Contribution to conferencePosterResearch

Open Access
File

Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons

Klampfl, S., Legenstein, R. A. & Maass, W., 2006.

Research output: Contribution to conferencePosterResearch

Open Access
File
2005

A criterion for the convergence of learning with spike timing dependent plasticity

Legenstein, R. A., 2005.

Research output: Contribution to conferencePosterResearch

Principles of real-time computing with feedback applied to cortical microcircuit models

Maass, W., Joshi, P. & Sontag, E., 2005.

Research output: Contribution to conferencePosterResearch

Real-time computations and self organized criticality in recurrent neural networks

Legenstein, R. A., 2005.

Research output: Contribution to conferencePosterResearch

Reinforcement Learning of Strategies for Settlers of Catan

Pfeiffer, M., 2005.

Research output: Contribution to conferencePosterResearch