Publications

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In Press
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
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
2007
Maass, W., "Liquid Computing", Computability in Europe 2007 - CiE'07: Springer (Berlin), 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
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
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
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