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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

Liquid Computing in a Simplified Model of Cortical Layer IV: Learning to Balance a Ball

Maass, W., Probst, D., Markram, H. & Gewaltig, M. O., 2012, Lecture Notes in Computer Science. ., p. 209-216

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Probing Real Sensory Worlds of Receivers with Unsupervised Clustering

Pfeiffer, M., Hartbauer, M., Maass, W., Lang, A. B. & Römer, H., 2012, In : PLoS ONE. 7, 6, p. 1-22

Research output: Contribution to journalArticleResearchpeer-review

The role of feedback in morphological computation with compliant bodies

Hauser, H., Ijspeert, A. J., Füchslin, R. M., Pfeifer, R. & Maass, W., 2012, In : Biological Cybernetics. p. 1-19

Research output: Contribution to journalArticleResearchpeer-review

2011

Biologically Inspired Kinematic Synergies Enable Linear Balance Control of a Humanoid Robot

Hauser, H., Neumann, G., Ijspeert, A. J. & Maass, W., 2011, In : Biological Cybernetics. 104, 4-5, p. 235-249

Research output: Contribution to journalArticleResearchpeer-review

Branch-specific plasticity enables self-organization of nonlinear computation in single neurons

Legenstein, R. & Maass, W., 2011, In : The journal of neuroscience. 31, 30, p. 10787-10802

Research output: Contribution to journalArticleResearchpeer-review

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

Eliminating the teacher in reservoir computing

Hörzer, G. M., Legenstein, R. & Maass, W., 2011, Proceedings of the 2nd International Conference on Morphological Computation. ., p. 32-32

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Emergence of Optimal Population Decoding through STDP

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

Research output: Contribution to conferencePosterResearch

Motivation, theory, and applications of liquid state machines

Maass, W., 2011, Computability in Context: Computation and Logic in the Real World. 1 ed. Imperial College Press, p. 275-296

Research output: Chapter in Book/Report/Conference proceedingChapterResearch

Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons

Buesing, L., Bill, J., Nessler, B. & Maass, W., 2011, In : PLoS computational biology. 7, 11, p. e1002211-e1002211

Research output: Contribution to journalArticleResearchpeer-review

Probabilistic inference in general graphical models through sampling in stochastic networks of spiking neurons.

Pecevski, D., Buesing, L. & Maass, W., 2011, In : PLoS computational biology. 7, p. 1-25

Research output: Contribution to journalArticleResearchpeer-review

Statistical Comparison of Spike Responses to Natural Stimuli in Monkey Area V1 With Simulated Responses of a Detailed Laminar Network Model for a Patch of V1

Rasch, M. J., Schuch, K., Logothetis, N. K. & Maass, W., 2011, In : Journal of neurophysiology. 105, 2, p. 757-778

Research output: Contribution to journalArticleResearchpeer-review

Towards a theoretical foundation for morphological computation with compliant bodies

Hauser, H., Ijspeert, A. J., Füchslin, R. M., Pfeifer, R. & Maass, W., 2011, In : Biological Cybernetics. 105, 5-6, p. 355-370

Research output: Contribution to journalArticleResearchpeer-review

2010

A reward-modulated Hebbian learning rule can explain experimentally observed network reorganization in a brain control task

Legenstein, R., Chase, S., Schwartz, A. B. & Maass, W., 2010, In : The journal of neuroscience. 30, 25, p. 8400-8410

Research output: Contribution to journalArticleResearchpeer-review

A Spiking Neuron as Information Bottleneck

Büsing, L. H. & Maass, W., 2010, In : Neural computation. 22, 8, p. 1961-1992

Research output: Contribution to journalArticleResearchpeer-review

A theoretical basis for emergent pattern discrimination in neural systems through slow feature extraction

Klampfl, S. & Maass, W., 2010, In : Neural computation. 22, 12, p. 2979-3035

Research output: Contribution to journalArticleResearchpeer-review

Open Access
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Compensating inhomogeneities of neuromorphic VLSI devices via short-term synaptic plasticity

Bill, J., Schuch, K., Maass, W., Bruederle, D., Schemmel, J. & Meier, K., 2010, In : Frontiers in Computational Neuroscience . p. 1-12

Research output: Contribution to journalArticleResearchpeer-review

Das Gehirn als Teich, in den man Steine wirft

Maass, W. & Häusler, S., 20 Jan 2010, Der Standard, p. 16-16.

Research output: Contribution to specialist publicationArticleResearch

Die Nerven und ihre Erinnerung

Maass, W. & Häusler, S., 10 Jan 2010, Die Presse, p. 23-23.

Research output: Contribution to specialist publicationArticleResearch

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

Hirnforschung - Prothesen für Gelähmte

Maass, W. & Häusler, S., 13 Jan 2010, Der Standard, p. 13-13.

Research output: Contribution to specialist publicationArticleResearch

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

Klampfl, S. & Maass, W., 2010, Advances in Neural Information Processing Systems. MIT Press, p. 988-996

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Reward-modulated Hebbian Learning of Decision Making

Pfeiffer, M., Nessler, B., Douglas, R. J. & Maass, W., 2010, In : Neural computation. 22, 6, p. 1399-1444

Research output: Contribution to journalArticleResearchpeer-review

STDP enables spiking neurons to detect hidden causes of their inputs

Nessler, B., Pfeiffer, M. & Maass, W., 2010, Proc. of Advances in Neural Information Processing Systems (NIPS). MIT Press, p. 1357-1365

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Zeitsprung in der Schüssel

Maass, W. & Häusler, S., 17 Jan 2010, Kleine Zeitung / Stadtausgabe, p. 1-1.

Research output: Contribution to specialist publicationArticleResearch