Publications

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Steimer, A., W. Maass, and R. Douglas, "Belief-propagation in networks of spiking neurons", Neural Computation, vol. 21, pp. 2502-2523, 2009. Abstract
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Pfeiffer, M., B. Nessler, R. Douglas, and W. Maass, "Reward-modulated Hebbian Learning of Decision Making", Neural Computation, In Press. Abstract
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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
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
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
Natschläger, T., W. Maass, and H. Markram, "The "Liquid Computer": A Novel Strategy for Real-Time Computing on Time Series", Special Issue on Foundations of Information Processing of {TELEMATIK}, vol. 8, no. 1, pp. 39–43, 2002. 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
Natschlaeger, T., H. Markram, and W. Maass, "Computer Models and analysis tools for neural microcircuits", Neuroscience Databases. A Practical Guide, Boston, Kluwer Academic Publishers, pp. 123-138, 2003. Abstract
Natschlaeger, T., and W. Maass, "Information dynamics and emergent computation in recurrent circuits of spiking neurons", NIPS 2003: Advances in Neural Information Processing Systems, vol. 16: MIT Press, pp. 1255-1262, 2004, 2003. Abstract
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Maass, W., T. Natschläger, and H. Markram, "Computational models for generic cortical microcircuits", Computational Neuroscience: A Comprehensive Approach: CRC-Press, 2004. Abstract
Maass, W., and H. Markram, "Temporal integration in recurrent microcircuits", The Handbook of Brain Theory and Neural Networks, 2nd Edition: MIT Press, pp. 1159-1163, 2003.
Maass, W., T. Natschlaeger, and H. Markram, "Real-time Computing without stable states: A New Framework for Neural Computation Based on Perturbations", Neural Computation, vol. 14, no. 11, pp. 2531–2560, 2002. 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.
Maass, W., "On the computational power of neural microcircuit models: Pointers to the literature", International Conference on Artificial Neural Networks - ICANN 2002, vol. 2415: Springer, pp. 254-256, 2002.
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
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
Maass, W., and H. Markram, "On the computational power of recurrent circuits of spiking neurons", Journal of Computer and System Sciences, vol. 69, no. 4, pp. 593-616, 2004. Abstract
Maass, W., "Computing with spikes", Special Issue on Foundations of Information Processing of Telematik, vol. 8, no. 1, pp. 32-36, 2002.
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
Maass, W., T. Natschlaeger, and H. Markram, "A model for real-time computation in generic neural microcircuits", NIPS 2002: Advances in Neural Information Processing Systems, vol. 15: MIT Press, pp. 213–220, 2003, 2002. 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
Maass, W., R. Legenstein, and H. Markram, "A new approach towards vision suggested by biologically realistic neural microcircuit models", Biologically Motivated Computer Vision BMCV 2002, vol. 2525: Springer, pp. 282-293, 2002. Abstract
Maass, W., "Liquid Computing", Computability in Europe 2007 - CiE'07: Springer (Berlin), 2007. Abstract
Maass, W., T. Natschlaeger, and H. Markram, "Fading memory and kernel properties of generic cortical microcircuit models", Journal of Physiology (Paris), vol. 98, no. 4-6, pp. 315-330, 2004. Abstract
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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