Publications of Maass, W
Select a view.44 publication entries, 2 of them (printed in bold in the list) acknowledge the project support.
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Book chapter
Conference contribution: poster
Other
Paper (reviewed)
| Bill et al. 2010 | Bill, J., Schuch, K., Brüderle, D., Schemmel, J., Maass, W. and Meier, K. | Compensating inhomogeneities of neuromorphic VLSI devices via short-term synaptic plasticity | Front. Comput. Neurosci. (2010) 4:129. doi:10.3389/fncom.2010.00129 |
abstract, BibTeX |
| Buesing and Maass 2009 | Buesing, L., and Maass, W. | A Spiking Neuron as Information Bottleneck | Neural Computation (2010) 22(8): 1961-1992 doi:10.1162/neco.2010.08-09-1084 |
abstract |
| Häusler and Maass 2007 | Häusler, S. and Maass, W. | A statistical analysis of information processing properties of lamina-specific cortical microcircuit models | Cerebral Cortex (2007) 17(1):149-162 | fulltext |
| Haeusler et al. 2007 | Haeusler, S. and Maass, W. | A statistical analysis of information processing properties of lamina-specific cortical microcircuit models | Cerebral Cortex (2007) 17(1):149-162 | fulltext |
| Haeusler et al. 2008 | Haeusler, S., Schuch, K. and Maass, W. | Motif distribution, dynamical properties, and computational performance of two data-based cortical microcircuit templates. | J. of Physiology (2009) 103(1-2):73-87 | abstract |
| Kaske and Maass 2006 | Kaske, A. and Maass, W. | A model for the interaction of oscillations and pattern generation with real-time computing in generic neural microcircuit models | Neural Networks (2006) 19(5):600-609 | fulltext |
| Klampfl et al. 2007b | Klampfl, S., Legenstein, R. and Maass, W. | Spiking neurons can learn to solve information bottleneck problems and to extract independent components | Neural Comput. (2009) 21(4):911-59. doi:10.1162/neco.2008.01-07-432 |
abstract |
| Legenstein and Maass 2006 | Legenstein, R.A. and Maass, W. | A criterion for the convergence of learning with spike timing dependent plasticity | Advances in Neural Information Processing System (MIT Press). (2006) 18:763-770 | abstract, fulltext |
| Legenstein and Maass 2007 | Legenstein, R. and Maass, W. | On the classification capability of sign-constrained perceptrons | Neural Comput. (2008) 20(1):288-309 | abstract, fulltext |
| Legenstein and Maass 2007c | Legenstein, R.A. and Maass, W. | Edge of chaos and prediction of computational performance for neural microcircuit models | Neural Networks (2007) 20(3): 323-334 | abstract, fulltext |
| Legenstein et al. 2008 | Legenstein, R., Pecevski, D. and Maass, W. | A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback | PLoS Computational Biology (2008) 4(10): e1000180 | abstract, fulltext |
| Maass et al. 2006 | Maass, W., Joshi, P. and Sontag, E.D. | Principles of real-time computing with feedback applied to cortical microcircuit models | Advances in Neural Information Processing Systems (MIT Press) (2006) 18:835-842. | abstract, fulltext |
| Maass et al. 2007 | Maass, W., Joshi, P. and Sontag, E. D. | Computational aspects of feedback in neural circuits | PLOS Computational Biology (2007) 3(1):e165, 1-20 | fulltext |
| Nessler et al. 2008 | Nessler, B., Pfeiffer, M. and Maass, W. | Hebbian learning of Bayes optimal decisions | In Proc. of NIPS 2008: Advances in Neural Information Processing Systems, MIT Press (2009) 21: | fulltext |
| Nikolic et al. 2007 | Nikolic, D., Haeusler, S., Singer, W. and Maass, W. | Temporal dynamics of information content carried by neurons in the primary visual cortex | Advances in Neural Information Processing Systems (2007) 19:1041-1048. MIT Press | |
| Nikolic et al. 2010 | Nikolic, D., Haeusler, S., Singer, W. and Maass, W. | Distributed Fading Memory for Stimulus Properties in the Primary Visual Cortex | PLoS Biol (2009) 7(12): e1000260 doi:10.1371/journal.pbio.1000260 |
fulltext |
| Pfeiffer et al. 2008 | Pfeiffer, M., Nessler, B., Douglas, R. and Maass, W. | Reward-Modulated Hebbian Learning of Decision Making | Neural Computation (2010) 22(6): 1399-144 doi:10.1162/neco.2010.03-09-980 |
abstract |
| Rasch et al. 2008 | Rasch, M.J.,Gretton, A., Murayama, Y., Maass, W. and Logothetis, N.K. | Inferring spike trains from local field potentials | Journal of Neurophysiology (2008) 99:1461-1476 | fulltext |
| Steimer et al. 2008 | Steimer, A., Maass, W. and Douglas, R. | Belief-propagation in networks of spiking neurons | Neural Computation (2009) 21(9): 2502-2523 doi:10.1162/neco.2009.08-08-837 |
abstract |
| Sussillo et al. 2007 | Sussillo, D., Toyoizumi, T. and Maass, W. | Self-tuning of neural circuits through short-term synaptic plasticity | J Neurophysiol (2007) 97: 4079-4095 | abstract, fulltext |
| Uchizawa et al. 2006b | Uchizawa, K., Douglas, R. and Maass, W. | On the computational power of threshold circuits with sparse activity | Neural Computation (2006) 18(12): 2994-3008 | abstract, fulltext |
Book chapter
| Frégnac et al. 2006b | Frégnac, Y., Blatow, M., Changeux, J.P., DeFelipe, J., Lansner, A., Maass, W., Markram, H., McCormick, D., Michel, C.M., Monyer, H., Szathmáry, E. and Yuste, R. | Ups and Downs in the genesis of cortical computation | In: "Microcircuits: The Interface between Neurons and Global Brain Function Microcircuits: Dahlem Workshop Report 93". (Eds. Grillner, S. e. a.) Cambridge, USA: The MIT Press, (2006) pp. 397-437 | fulltext |
| Legenstein and Maass 2006b | Legenstein, R. and Maass, W. | What makes a dynamical system computationally powerful? | In S. Haykin, J. C. Principe, T.J. Sejnowski, and J.G. McWhirter, editors, New Directions in Statistical Signal Processing: From Systems to Brain. pages 127-154. MIT Press, 2007 | abstract, fulltext |
| Legenstein and Maass 2007b | Legenstein, R. and Maass, W. | What makes a dynamical system computationally powerful? | In S. Haykin, J. C. Principe, T. Sejnowski, and J. McWhirter, editors, New Directions in Statistical Signal Processing: From Systems to Brain, pages 127-154. MIT Press, 2007 | abstract, fulltext |
Conference contribution: poster
| Maass, W. | A model for computation in cortical microcircuits | USA, Banburry Center, Cold Spring Harbour,Workshop "Models of Neural Circuits", April 2006 | ||
| Maass, W. | Experiments that would help to decide between competing models for cortical computation | Workshop of the MPI for Brain Research, Schloss Ringberg, Tegernsee, Germany, July 2006 | ||
| Maass, W. | Models for cortical computation | Leipzig, Germany, Workshop on Information Theory and Neurobiology, July 2006 | ||
| Maass, W. | Neural circuits as analog computers | EPFL, Lausanne, CH, Latsis Symposium, March 2006 | ||
| Maass, W. | Online computing in dynamical systems as a possible paradigm for auditory processing | Sorbonne, Paris, F,Workshop "New Ideas in Hearing", May 2006 | ||
| Maass, W. | Principles of real-time computing with feedback applied to cortical microcircuit models | Conf. on Neural Information Processing Systems, Vancouver, CA, NIPS*05, December 2005 | ||
| Maass, W. | Unsupervised learning in neural circuits | EPFL-Lausanne, CH, Workshop on Synaptic Plasticity, June 2006 | ||
| Buesing and Maass 2007 | Buesing, L. and Maass, W. | Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons | Proc. of NIPS 2007, Advances in Neural Information Processing Systems, volume 20. MIT Press, 2008 | abstract |
| Klampfl and Maass 2009 | Klampfl, S. and Maass, W. | Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks | Proc. of NIPS 2009, Advances in Neural Information Processing Systems (2010) 22: 988-996. MIT Press, 2010 | abstract |
| Klampfl et al. 2007 | Klampfl, S., Legenstein, R.A. and Maass, W. | Information bottleneck optimization and independent component extraction with spiking neurons | Proc. of NIPS 2006, Advances in Neural Information Processing Systems, volume 19. MIT Press, 2007 | abstract, fulltext |
| Klampfl et al. 2009 | Klampfl, S., David, S. V., Yin, P., Shamma, S. A. and Maass, W | Integration of stimulus history in information conveyed by neurons in primary auditory cortex in response to tone sequences | 39th Annual Conference of the Society for Neuroscience, 2009 | |
| Legenstein et al. 2008b | Legenstein, R., Pekevski, D. and Maass, W. | Theoretical analysis of learning with reward-modulated spike-timing-dependent plasticity | Proc. of NIPS 2007, Advances in Neural Information Processing Systems, volume 20. MIT Press, 2008 | abstract |
| Legenstein et al. 2009 | Legenstein, R., Maass, W., Chase, S.M. and Schwartz, A.B. | Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning | Proc. of NIPS 2009: Advances in Neural Information Processing Systems (2009) 22: 1105-1113 | abstract |
| Liebe et al. 2009 | Liebe, S., Hoerzer, G., Logothetis, N.K., Maass, W. and Rainer, G. | Long range coupling between V4 and PF in theta band during visual short-term memory | 39th Annual Conference of the Society for Neuroscience, 2009 | |
| Maass 2007 | Maass, W. | Liquid computing | In Proceedings of the Conference CiE'07: COMPUTABILITY IN EUROPE 2007, Siena (Italy), Lecture Notes in Computer Science. Springer (Berlin), 2007. invited paper, in press. | fulltext |
| Maass and Markram 2006 | Maass, W. and Markram, H. | Theory of the computational function of microcircuit dynamics | S. Grillner and A. M. Graybiel, editors, The Interface between Neurons and Global Brain Function, Dahlem Workshop Report 93, pages 371-390. MIT Press, 2006 | fulltext |
| Nessler et al. 2009 | Nessler, B., Pfeiffer, M. and Maass, W. | STDP enables spiking neurons to detect hidden causes of their inputs | NIPS 2009 | abstract |
| Uchizawa et al. 2006 | Uchizawa, K., Douglas, R. and Maass, W. | Energy Complexity and Entropy of Threshold Circuits | Automata, Languages and Programming, 33rd International Colloquium, ICALP 2006, Venice, Italy, July 10-14, 2006, Proceedings, Part I. Published by Springer as Lecture Notes in Computer Science (2006) 4051: 631-642 | fulltext |
Other
| Maass, W. | How could networks of neurons learn to carry out probabilistic inference? | Videolecture (recorded May 2010, published 15 June 2010) at http://videolectures.net/mlss2010_maass_hcnon/ | fulltext | |
| Nikolic et al. 2007a | Nikolic, D., Haeusler, S., Singer, W. and Maass, W. | Temporal dynamics of information content carried by neurons in the primary visual cortex | Proc. of NIPS 2006, Advances in Neural Information Processing Systems, volume 19. MIT Press, 2007. | abstract |
