Publications

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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
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., 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., T. Natschläger, and H. Markram, "Computational models for generic cortical microcircuits", Computational Neuroscience: A Comprehensive Approach: CRC-Press, 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, "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
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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