Publications

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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., 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., 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., 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., 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
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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
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
Natschläger, T., H. Markram, and W. Maass, "Computer models and analysis tools for neural microcircuits", A Practical Guide to Neuroscience Databases and Associated Tools: Kluver Academic Publishers (Boston), 2002.
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
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
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
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Ozturk, M. C., D. Xu, and J. C. Principe, "Analysis and Design of Echo State Networks", Neural Computation, vol. 19, pp. 111–138, 2006.
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Pascanu, R., and H. Jaeger, "A Neurodynamical Model for Working Memory", Neural Networks, vol. 24, no. 2, pp. 199 - 207, 2011. Abstract
Petrėnas, A., V. Marozas, L. Sörnmo, and A. Lukoševičius, "An Echo State Neural Network for QRST Cancellation During Atrial Fibrillation", IEEE Transactions on Biomedical Engineering, vol. 59, no. 10: IEEE, pp. 2950–2957, 2012.
Prokhorov, D., "Echo state networks: Appeal and challenges", Proc. of International Joint Conference on Neural Networks, pp. 1463–1466, 2005.
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