Robert Legenstein

Assoc.Prof. Dipl.-Ing. Dr.techn.

19992022
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Research Output 1999 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

2013

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

2012

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

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

Reinforcement learning on complex visual stimuli

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

2008

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

Legenstein, R., 2008.

Research output: Contribution to conferencePosterResearch

2007

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

Extracting Independent Components with Spiking Neurons

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

Research output: Contribution to conferencePosterResearch

Open Access
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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

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

Legenstein, R. A., 2005.

Research output: Contribution to conferencePosterResearch

2004