Publications

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In Press
Pfeiffer, M., B. Nessler, R. Douglas, and W. Maass, "Reward-modulated Hebbian Learning of Decision Making", Neural Computation, In Press. Abstract
2011
Maass, W., "Motivation, theory, and applications of liquid state machines", Computability in Context: Computation and Logic in the Real World: Imperial College Press, 2011. Abstract
2009
Klampfl, S., and W. Maass, "Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks", NIPS 2009: Advances in Neural Information Processing Systems, vol. 22: MIT Press, 2010, 2009. Abstract
Nessler, B., M. Pfeiffer, and W. Maass, "STDP enables spiking neurons to detect hidden causes of their inputs", NIPS 2009: Advances in Neural Information Processing Systems, vol. 22: MIT Press, 2010, 2009. Abstract
Steimer, A., W. Maass, and R. Douglas, "Belief-propagation in networks of spiking neurons", Neural Computation, vol. 21, pp. 2502-2523, 2009. Abstract
Haeusler, S., K. Schuch, and W. Maass, "Motif distribution and computational performance of two data-based cortical microcircuit templates", Journal of Physiology (Paris), vol. 103, no. 1-2, 2009. Abstract
Klampfl, S., R. Legenstein, and W. Maass, "Spiking neurons can learn to solve information bottleneck problems and to extract independent components", Neural Computation, vol. 21, no. 4, pp. 911-959, 2009. Abstract
Buonomano, D., and W. Maass, "State-dependent computations: Spatiotemporal processing in cortical networks", Nature Reviews Neuroscience, vol. 10, no. 2, pp. 113-125, 2009. Abstract
2008
Nessler, B., M. Pfeiffer, and W. Maass, "Hebbian learning of Bayes optimal decisions", NIPS 2008: Advances in Neural Information Processing Systems, vol. 21: MIT Press, 2009, 2008. Abstract
Legenstein, R., D. Pecevski, and W. Maass, "A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback", PLoS Computational Biology, vol. 4, no. 10, pp. 1-27, 2008. Abstract
2007
Buesing, L., and W. Maass, "Simplified rules and theoretical analysis for information bottleneck optimization and PCA with spiking neurons", NIPS 2007: Advances in Neural Information Processing Systems, vol. 20: MIT Press, 2008, 2007. Abstract
Maass, W., P. Joshi, and E. D. Sontag, "Computational aspects of feedback in neural circuits", PLoS Computational Biology, vol. 3, no. 1, pp. 1-20, 2007. Abstract
Legenstein, R., and W. Maass, "Edge of chaos and prediction of computational performance for neural microcircuit models", Neural Networks, vol. 20, no. 3, pp. 323-334, 2007. Abstract
Maass, W., "Liquid Computing", Computability in Europe 2007 - CiE'07: Springer (Berlin), 2007. Abstract
Haeusler, S., and W. Maass, "A statistical analysis of information processing properties of lamina-specific cortical microcircuit models", Cerebral Cortex, vol. 17, no. 1, pp. 149-162, 2007. Abstract
Legenstein, R., and W. Maass, "What makes a dynamical system computationally powerful?", New Directions in Statistical Signal Processing: From System to Brains: MIT Press, pp. 127-154, 2007. Abstract
Jaeger, H., W. Maass, and J. Principe, "Introduction to the Special Issue on Echo State Networks and Liquid State Machines", Neural Networks, vol. 20, no. 3, pp. 287–289, 2007.
2006
Klampfl, S., R. Legenstein, and W. Maass, "Information bottleneck optimization and independent component extraction with spiking neurons", NIPS 2006: Advances in Neural Information Processing Systems, vol. 19: MIT Press, pp. 713-720, 2007, 2006. Abstract
Nikolic, D., S. Haeusler, W. Singer, and W. Maass, "Temporal dynamics of information content carried by neurons in the primary visual cortex", NIPS 2006: Advances in Neural Information Processing Systems, vol. 19: MIT Press, pp. 1041-1048, 2007, 2006. Abstract
Kaske, A., and W. Maass, "A model for the interaction of oscillations and pattern generation with real-time computing in generic neural microcircuit models", Neural Networks, vol. 19, no. 5, pp. 600-609, 2006. Abstract
Maass, W., and H. Markram, "Theory of the computational function of microcircuit dynamics", Microcircuits: The Interface between Neurons and Global Brain Function, vol. 93, pp. 371-390, 2006.
2005
Maass, W., P. Joshi, and E. D. Sontag, "Principles of real-time computing with feedback applied to cortical microcircuit models", NIPS 2005: Advances in Neural Information Processing Systems, vol. 18, Cambridge, MA, MIT Press, pp. 835–842, 2006, 2005. Abstract
Natschlaeger, T., and W. Maass, "Dynamics of information and emergent computation in generic neural microcircuit models", Neural Networks, vol. 18, no. 10, pp. 1301-1308, 2005. Abstract
Joshi, P., and W. Maass, "Movement generation with circuits of spiking neurons", Neural Computation, vol. 17, no. 8, pp. 1715-1738, 2005. Abstract
2004
Maass, W., R. Legenstein, and N. Bertschinger, "Methods for estimating the computational power and generalization capability of neural microcircuits", NIPS 2004: Advances in Neural Information Processing Systems, vol. 17: MIT Press, pp. 865-872, 2005, 2004. Abstract