Publications

Export 40 results:
Sort by: Author [ Title (Asc)] Type Year
Filters: Author is W. Maass  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
"
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
B
Steimer, A., W. Maass, and R. Douglas, "Belief-propagation in networks of spiking neurons", Neural Computation, vol. 21, pp. 2502-2523, 2009. Abstract
C
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., T. Natschläger, and H. Markram, "Computational models for generic cortical microcircuits", Computational Neuroscience: A Comprehensive Approach: CRC-Press, 2004. 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
Maass, W., "Computing with spikes", Special Issue on Foundations of Information Processing of Telematik, vol. 8, no. 1, pp. 32-36, 2002.
D
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
E
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
F
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
H
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
I
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
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
Legenstein, R., H. Markram, and W. Maass, "Input prediction and autonomous movement analysis in recurrent circuits of spiking neurons", Reviews in the Neurosciences (Special Issue on Neuroinformatics of Neural and Artificial Computation), vol. 14, no. 1-2, pp. 5-19, 2003. 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.
L
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
Maass, W., "Liquid Computing", Computability in Europe 2007 - CiE'07: Springer (Berlin), 2007. Abstract
M
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., 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
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
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
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
Joshi, P., and W. Maass, "Movement generation and control with generic neural microcircuits", BioADIT 2004, Lecture Notes in Computer Science, Lausanne, Springer, 2004. Abstract
Joshi, P., and W. Maass, "Movement generation with circuits of spiking neurons", Neural Computation, vol. 17, no. 8, pp. 1715-1738, 2005. Abstract
N
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
O
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.