Wolfgang Maass - Publications

Affiliations: 
Technische Universität Graz, Graz, Steiermark, Austria 
Area:
computation & theory

161 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Yan Y, Kappel D, Neumaerker F, Partzsch J, Vogginger B, Hoeppner S, Furber S, Maass W, Legenstein R, Mayr C. Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype. Ieee Transactions On Biomedical Circuits and Systems. PMID 30932847 DOI: 10.1109/TBCAS.2019.2906401  1
2018 Liu C, Bellec G, Vogginger B, Kappel D, Partzsch J, Neumärker F, Höppner S, Maass W, Furber SB, Legenstein R, Mayr CG. Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype. Frontiers in Neuroscience. 12: 840. PMID 30505263 DOI: 10.3389/fnins.2018.00840  1
2018 Kappel D, Legenstein R, Habenschuss S, Hsieh M, Maass W. A Dynamic Connectome Supports the Emergence of Stable Computational Function of Neural Circuits through Reward-Based Learning. Eneuro. 5. PMID 29696150 DOI: 10.1523/ENEURO.0301-17.2018  1
2017 Jonke Z, Legenstein R, Habenschuss S, Maass W. Feedback inhibition shapes emergent computational properties of cortical microcircuit motifs. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 28760861 DOI: 10.1523/JNEUROSCI.2078-16.2017  1
2016 Pecevski D, Maass W. Learning Probabilistic Inference through Spike-Timing-Dependent Plasticity. Eneuro. 3. PMID 27419214 DOI: 10.1523/ENEURO.0048-15.2016  0.76
2016 Jonke Z, Habenschuss S, Maass W. Solving Constraint Satisfaction Problems with Networks of Spiking Neurons. Frontiers in Neuroscience. 10: 118. PMID 27065785 DOI: 10.3389/fnins.2016.00118  0.64
2015 Kappel D, Habenschuss S, Legenstein R, Maass W. Network Plasticity as Bayesian Inference. Plos Computational Biology. 11: e1004485. PMID 26545099 DOI: 10.1371/journal.pcbi.1004485  1
2015 Bill J, Buesing L, Habenschuss S, Nessler B, Maass W, Legenstein R. Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition. Plos One. 10: e0134356. PMID 26284370 DOI: 10.1371/journal.pone.0134356  1
2015 Janzen S, Maass W. Towards benevolent sales assistants in retailing scenarios Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9103: 180-193. DOI: 10.1007/978-3-319-19581-0_16  1
2014 Legenstein R, Maass W. Ensembles of spiking neurons with noise support optimal probabilistic inference in a dynamically changing environment. Plos Computational Biology. 10: e1003859. PMID 25340749 DOI: 10.1371/journal.pcbi.1003859  1
2014 Kappel D, Nessler B, Maass W. STDP installs in Winner-Take-All circuits an online approximation to hidden Markov model learning. Plos Computational Biology. 10: e1003511. PMID 24675787 DOI: 10.1371/journal.pcbi.1003511  1
2014 Hoerzer GM, Legenstein R, Maass W. Emergence of complex computational structures from chaotic neural networks through reward-modulated Hebbian learning. Cerebral Cortex (New York, N.Y. : 1991). 24: 677-90. PMID 23146969 DOI: 10.1093/cercor/bhs348  1
2014 Maass W. Noise as a resource for computation and learning in networks of spiking neurons Proceedings of the Ieee. 102: 860-880. DOI: 10.1109/JPROC.2014.2310593  1
2014 Aruväli T, Maass W, Otto T. Digital object memory based monitoring solutions in manufacturing processes Procedia Engineering. 69: 449-458. DOI: 10.1016/j.proeng.2014.03.011  1
2014 Kowatsch T, Maass W, Cvijikj IP, Büchter D, Brogle B, Dintheer A, Wiegand D, Durrer-Schutz D, Xu R, Schutz Y, L'Allemand-Jander D. Design of a health information system enhancing the performance of obesity expert and children teams Ecis 2014 Proceedings - 22nd European Conference On Information Systems 1
2014 Maass W, Storey VC. Recall of concepts and relationships learned by conceptual models: The impact of narratives, general-purpose, and pattern-based conceptual grammars Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8824: 377-384.  1
2014 Cvijikj IP, Kowatsch T, Büchter D, Brogle B, Dintheer A, Wiegand D, Schutz DD, L'Allemand-Jander D, Schutz Y, Maass W. Health information system for obesity prevention and treatment of children and adolescents Ecis 2014 Proceedings - 22nd European Conference On Information Systems 1
2013 Habenschuss S, Jonke Z, Maass W. Stochastic computations in cortical microcircuit models. Plos Computational Biology. 9: e1003311. PMID 24244126 DOI: 10.1371/journal.pcbi.1003311  1
2013 Klampfl S, Maass W. Emergence of dynamic memory traces in cortical microcircuit models through STDP. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 11515-29. PMID 23843522 DOI: 10.1523/JNEUROSCI.5044-12.2013  1
2013 Nessler B, Pfeiffer M, Buesing L, Maass W. Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity. Plos Computational Biology. 9: e1003037. PMID 23633941 DOI: 10.1371/journal.pcbi.1003037  1
2013 Habenschuss S, Puhr H, Maass W. Emergence of optimal decoding of population codes through STDP. Neural Computation. 25: 1371-407. PMID 23517096 DOI: 10.1162/NECO_a_00446  1
2012 Rückert EA, Neumann G, Toussaint M, Maass W. Learned graphical models for probabilistic planning provide a new class of movement primitives. Frontiers in Computational Neuroscience. 6: 97. PMID 23293598 DOI: 10.3389/fncom.2012.00097  1
2012 Hauser H, Ijspeert AJ, Füchslin RM, Pfeifer R, Maass W. The role of feedback in morphological computation with compliant bodies. Biological Cybernetics. 106: 595-613. PMID 22956025 DOI: 10.1007/s00422-012-0516-4  1
2012 Pfeiffer M, Hartbauer M, Lang AB, Maass W, Römer H. Probing real sensory worlds of receivers with unsupervised clustering. Plos One. 7: e37354. PMID 22701566 DOI: 10.1371/journal.pone.0037354  1
2012 Klampfl S, David SV, Yin P, Shamma SA, Maass W. A quantitative analysis of information about past and present stimuli encoded by spikes of A1 neurons. Journal of Neurophysiology. 108: 1366-80. PMID 22696538 DOI: 10.1152/jn.00935.2011  1
2012 Almeida JS, Grüneberg A, Maass W, Vinga S. Fractal MapReduce decomposition of sequence alignment. Algorithms For Molecular Biology : Amb. 7: 12. PMID 22551205 DOI: 10.1186/1748-7188-7-12  1
2012 Hauser H, Ijspeert AJ, Füchslin RM, Pfeifer R, Maass W. Towards a theoretical foundation for morphological computation with compliant bodies. Biological Cybernetics. PMID 22290137 DOI: 10.1007/s00422-012-0471-0  1
2012 Kowatsch T, Maass W. Product recommendation agents for cyber shopping consumers Encyclopedia of Cyber Behavior. 1: 586-599. DOI: 10.4018/978-1-4666-0315-8.ch050  1
2012 Maass W, Varshney U. Design and evaluation of Ubiquitous Information Systems and use in healthcare Decision Support Systems. 54: 597-609. DOI: 10.1016/j.dss.2012.08.007  1
2012 Purao S, Maass W, Storey VC, Jansen BJ, Reddy M. An integrated conceptual model to incorporate information tasks in workflow models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7532: 487-500. DOI: 10.1007/978-3-642-34002-4_38  1
2012 Probst D, Maass W, Markram H, Gewaltig MO. Liquid computing in a simplified model of cortical layer IV: Learning to balance a ball Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7552: 209-216. DOI: 10.1007/978-3-642-33269-2_27  1
2012 Kowatsch T, Maass W. Critical privacy factors of internet of things services: An empirical investigation with domain experts Lecture Notes in Business Information Processing. 129: 200-211. DOI: 10.1007/978-3-642-33244-9_14  1
2012 Maass W, Janzen S. Towards design engineering of ubiquitous information systems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7286: 206-219. DOI: 10.1007/978-3-642-29863-9_16  1
2012 Maass W. On the changing market for content management systems: Status and outlook Semantic Technologies in Content Management Systems: Trends, Applications and Evaluations. 2147483647: 3-8. DOI: 10.1007/978-3-642-24960-0_1  1
2012 Maass W, Kowatsch T, Janzen S, Filler A. Applying situation-service fit to physical environments enhanced by ubiquitous information systems Ecis 2012 - Proceedings of the 20th European Conference On Information Systems 1
2011 Pecevski D, Buesing L, Maass W. Probabilistic inference in general graphical models through sampling in stochastic networks of spiking neurons. Plos Computational Biology. 7: e1002294. PMID 22219717 DOI: 10.1371/journal.pcbi.1002294  1
2011 Buesing L, Bill J, Nessler B, Maass W. Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neurons. Plos Computational Biology. 7: e1002211. PMID 22096452 DOI: 10.1371/journal.pcbi.1002211  1
2011 Legenstein R, Maass W. Branch-specific plasticity enables self-organization of nonlinear computation in single neurons. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 31: 10787-802. PMID 21795531 DOI: 10.1523/JNEUROSCI.5684-10.2011  1
2011 Deus HF, Correa MC, Stanislaus R, Miragaia M, Maass W, de Lencastre H, Fox R, Almeida JS. S3QL: a distributed domain specific language for controlled semantic integration of life sciences data. Bmc Bioinformatics. 12: 285. PMID 21756325 DOI: 10.1186/1471-2105-12-285  1
2011 Hauser H, Neumann G, Ijspeert AJ, Maass W. Biologically inspired kinematic synergies enable linear balance control of a humanoid robot. Biological Cybernetics. 104: 235-49. PMID 21523489 DOI: 10.1007/s00422-011-0430-1  1
2011 Rasch MJ, Schuch K, Logothetis NK, Maass W. Statistical comparison of spike responses to natural stimuli in monkey area V1 with simulated responses of a detailed laminar network model for a patch of V1. Journal of Neurophysiology. 105: 757-78. PMID 21106898 DOI: 10.1152/jn.00845.2009  1
2011 Kowatsch T, Maass W. A design model for knowledge-based pricing services in the retail industry International Journal of Web Engineering and Technology. 6: 302-319. DOI: 10.1504/IJWET.2011.043436  1
2011 Kowatsch T, Maass W, Fleisch E. The role of product reviews on mobile devices for in-store purchases: Consumers' usage intentions, costs and store preferences International Journal of Internet Marketing and Advertising. 6: 226-243. DOI: 10.1504/IJIMA.2011.038237  1
2011 Kowatsch T, Maass W. Evaluation of content management systems Semantic Technologies in Content Management Systems: Trends, Applications and Evaluations. 111-124. DOI: 10.1007/978-3-642-24960-0_9  1
2011 Maass W, Kowatsch T. Semantic technologies in content management systems: Trends, applications and evaluations Semantic Technologies in Content Management Systems: Trends, Applications and Evaluations. 1-204. DOI: 10.1007/978-3-642-24960  1
2011 Maass W, Storey VC, Kowatsch T. Effects of external conceptual models and verbal explanations on shared understanding in small groups Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6998: 92-103. DOI: 10.1007/978-3-642-24606-7_8  1
2011 Eichhoff JR, Maass W. Representation and reuse of design knowledge: An application for sales call support Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6881: 387-396. DOI: 10.1007/978-3-642-23851-2_40  1
2011 Maass W, Janzen S. Pattern-based approach for designing with diagrammatic and propositional conceptual models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6629: 192-206. DOI: 10.1007/978-3-642-20633-7_14  1
2011 Maass W, Kowatsch T, Janzen S, Varshney U. A natural language technology-enhanced mobile sales assistant for in-store shopping situations 19th European Conference On Information Systems, Ecis 2011 1
2011 Eichhoff JR, Maass W. Distributed imprecise design knowledge on the semantic web Ceur Workshop Proceedings. 778: 101-104.  1
2010 Bill J, Schuch K, Brüderle D, Schemmel J, Maass W, Meier K. Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic Plasticity. Frontiers in Computational Neuroscience. 4: 129. PMID 21031027 DOI: 10.3389/fncom.2010.00129  1
2010 Klampfl S, Maass W. A theoretical basis for emergent pattern discrimination in neural systems through slow feature extraction. Neural Computation. 22: 2979-3035. PMID 20858129 DOI: 10.1162/NECO_a_00050  1
2010 Almeida JS, Deus HF, Maass W. S3DB core: a framework for RDF generation and management in bioinformatics infrastructures. Bmc Bioinformatics. 11: 387. PMID 20646315 DOI: 10.1186/1471-2105-11-387  1
2010 Legenstein R, Chase SM, Schwartz AB, Maass W. A reward-modulated hebbian learning rule can explain experimentally observed network reorganization in a brain control task. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 30: 8400-10. PMID 20573887 DOI: 10.1523/JNEUROSCI.4284-09.2010  1
2010 Buesing L, Maass W. A spiking neuron as information bottleneck. Neural Computation. 22: 1961-92. PMID 20337537 DOI: 10.1162/neco.2010.08-09-1084  1
2010 Pfeiffer M, Nessler B, Douglas RJ, Maass W. Reward-modulated Hebbian learning of decision making. Neural Computation. 22: 1399-444. PMID 20141476 DOI: 10.1162/neco.2010.03-09-980  1
2010 Maass W, Filler A. Supporting cooking tasks by a smart formulation table Proceedings - 2010 6th International Conference On Intelligent Environments, Ie 2010. 185-190. DOI: 10.1109/IE.2010.41  1
2010 Maass W, Filler A, Janzen S, Kowatsch T. Towards a transition to tangible commerce: Design and evaluation of conversational product interfaces 4th Ieee International Conference On Digital Ecosystems and Technologies - Conference Proceedings of Ieee-Dest 2010, Dest 2010. 427-432. DOI: 10.1109/DEST.2010.5610611  1
2010 Kowatsch T, Maass W. In-store consumer behavior: How mobile recommendation agents influence usage intentions, product purchases, and store preferences Computers in Human Behavior. 26: 697-704. DOI: 10.1016/j.chb.2010.01.006  1
2010 Janzen S, Kowatsch T, Maass W, Filler A. Linkage of heterogeneous knowledge resources within in-store dialogue interaction Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6497: 145-160. DOI: 10.1007/978-3-642-17749-1_10  1
2010 Janzen S, Kowatsch T, Maass W. A methodology for content-centered design of ambient environments Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6105: 210-225. DOI: 10.1007/978-3-642-13335-0_15  1
2010 Kowatsch T, Maass W. Online vs. in-store shopping: How problem solving strategies of decision support systems influence confidence in purchase decisions 18th European Conference On Information Systems, Ecis 2010 1
2009 Legenstein R, Chase SM, Schwartz AB, Maass W. Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning. Advances in Neural Information Processing Systems. 2009: 1105-1113. PMID 25284966  1
2009 Nikolić D, Häusler S, Singer W, Maass W. Distributed fading memory for stimulus properties in the primary visual cortex. Plos Biology. 7: e1000260. PMID 20027205 DOI: 10.1371/journal.pbio.1000260  1
2009 Steimer A, Maass W, Douglas R. Belief propagation in networks of spiking neurons. Neural Computation. 21: 2502-23. PMID 19548806 DOI: 10.1162/neco.2009.08-08-837  1
2009 Haeusler S, Schuch K, Maass W. Motif distribution, dynamical properties, and computational performance of two data-based cortical microcircuit templates. Journal of Physiology, Paris. 103: 73-87. PMID 19500669 DOI: 10.1016/j.jphysparis.2009.05.006  1
2009 Buonomano DV, Maass W. State-dependent computations: spatiotemporal processing in cortical networks. Nature Reviews. Neuroscience. 10: 113-25. PMID 19145235 DOI: 10.1038/nrn2558  1
2009 Klampfl S, Legenstein R, Maass W. Spiking neurons can learn to solve information bottleneck problems and extract independent components. Neural Computation. 21: 911-59. PMID 19018708 DOI: 10.1162/neco.2008.01-07-432  1
2009 Neumann G, Maass W, Peters J. Learning complex motions by sequencing simpler motion templates Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 753-760. DOI: 10.1145/1553374.1553471  1
2009 Janzen S, Maass W. Ontology-based natural language processing for in-store shopping situations Icsc 2009 - 2009 Ieee International Conference On Semantic Computing. 361-366. DOI: 10.1109/ICSC.2009.44  1
2009 Maass W. A pattern-based view on knowledge trading media 2009 3rd Ieee International Conference On Digital Ecosystems and Technologies, Dest '09. 187-192. DOI: 10.1109/DEST.2009.5276691  1
2009 Nessler B, Pfeiffer M, Maass W. STDP enables spiking neurons to detect hidden causes of their inputs Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1357-1365.  1
2009 Legenstein R, Pecevski D, Maass W. Theoretical analysis of learning with reward-modulated spike-timing- dependent plasticity Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 1
2009 Kowatsch T, Maass W. Towards a framework for knowledge-based pricing services improving operational agility in the retail industry Ceur Workshop Proceedings. 530.  1
2009 Maass W, Janzen S. A pattern-based ontology building method for ambient environments Ceur Workshop Proceedings. 516: 1-15.  1
2009 Nessler B, Pfeiffer M, Maass W. Hebbian learning of Bayes optimal decisions Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1169-1176.  1
2009 Klampfl S, Maass W. Replacing supervised classification learning by slow feature analysis in spiking neural networks Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 988-996.  1
2009 Buesing L, Maass W. Simplified rules and theoretical analysis for Information Bottleneck Optimization and PCA with spiking neurons Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 1
2008 Legenstein R, Pecevski D, Maass W. A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback. Plos Computational Biology. 4: e1000180. PMID 18846203 DOI: 10.1371/journal.pcbi.1000180  1
2008 Auer P, Burgsteiner H, Maass W. A learning rule for very simple universal approximators consisting of a single layer of perceptrons. Neural Networks : the Official Journal of the International Neural Network Society. 21: 786-95. PMID 18249524 DOI: 10.1016/j.neunet.2007.12.036  1
2008 Rasch MJ, Gretton A, Murayama Y, Maass W, Logothetis NK. Inferring spike trains from local field potentials. Journal of Neurophysiology. 99: 1461-76. PMID 18160425 DOI: 10.1152/jn.00919.2007  1
2008 Legenstein R, Maass W. On the classification capability of sign-constrained perceptrons. Neural Computation. 20: 288-309. PMID 18045010 DOI: 10.1162/neco.2008.20.1.288  1
2008 Kowatsch T, Maass W, Filler A, Janzen S. Knowledge-based bundling of smart products on a mobile recommendation agent Proceedings - 7th International Conference On Mobile Business, Icmb 2008, Creativity and Convergence. 181-190. DOI: 10.1109/ICMB.2008.34  1
2008 Hauser H, Neumann G, Ijspeert AJ, Maass W. Biologically inspired kinematic synergies provide a new paradigm for balance control of humanoid robots Proceedings of the 2007 7th Ieee-Ras International Conference On Humanoid Robots, Humanoids 2007. 73-80. DOI: 10.1109/ICHR.2007.4813851  1
2008 Maass W, Kowatsch T. Adoption of dynamic product information: An empirical investigation of supporting purchase decisions on product bundles 16th European Conference On Information Systems, Ecis 2008 1
2008 Kowatsch T, Maass W. The impact of pre-defined terms on the vocabulary of collaborative indexing systems 16th European Conference On Information Systems, Ecis 2008 1
2008 Maass W, Filler A, Seeburger J. Product-centered mobile reasoning support for physical shopping situations Frontiers in Artificial Intelligence and Applications. 169: 54-63.  1
2007 Legenstein R, Maass W. Edge of chaos and prediction of computational performance for neural circuit models. Neural Networks : the Official Journal of the International Neural Network Society. 20: 323-34. PMID 17517489 DOI: 10.1016/j.neunet.2007.04.017  1
2007 Sussillo D, Toyoizumi T, Maass W. Self-tuning of neural circuits through short-term synaptic plasticity. Journal of Neurophysiology. 97: 4079-95. PMID 17409166 DOI: 10.1152/jn.01357.2006  1
2007 Maass W, Joshi P, Sontag ED. Computational aspects of feedback in neural circuits. Plos Computational Biology. 3: e165. PMID 17238280 DOI: 10.1371/journal.pcbi.0020165  1
2007 Haeusler S, Maass W. A statistical analysis of information-processing properties of lamina-specific cortical microcircuit models. Cerebral Cortex (New York, N.Y. : 1991). 17: 149-62. PMID 16481565 DOI: 10.1093/cercor/bhj132  1
2007 Jaeger H, Maass W, Principe J. Special issue on echo state networks and liquid state machines Neural Networks. 20: 287-289. DOI: 10.1016/j.neunet.2007.04.001  1
2007 Neumann G, Pfeiffer M, Maass W. Efficient continuous-time reinforcement learning with adaptive state graphs Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4701: 250-261.  1
2007 Nikolić D, Haeusler S, Singer W, Maass W. Temporal dynamics of information content carried by neurons in the primary visual cortex Advances in Neural Information Processing Systems. 1041-1048.  1
2007 Klampfl S, Legenstein R, Maass W. Information bottleneck optimization and independent component extraction with spiking neurons Advances in Neural Information Processing Systems. 713-720.  1
2007 Maass W, Kowatsch T, Münster T. Vocabulary patterns in free-for-all collaborative indexing systems Ceur Workshop Proceedings. 292: 45-57.  1
2007 Maass W, Lampe M. Integration of standardized and non-standardized product data Informatik 2007 - Informatik Trifft Logistik, Beitrage Der 37. Jahrestagung Der Gesellschaft Fur Informatik E.V. (Gi). 1: 141-146.  1
2007 Maass W, Behrendt W, Gangemi A. Trading digital information goods based on semantic technologies Journal of Theoretical and Applied Electronic Commerce Research. 2: 18-35.  1
2007 Maass W, Janzen S. Dynamic product interfaces: A key element for ambient shopping environments 20th Bled Econference - Emergence: Merging and Emerging Technologies, Processes, and Institutions - Conference Proceedings. 457-470.  1
2006 Uchizawa K, Douglas R, Maass W. On the computational power of threshold circuits with sparse activity. Neural Computation. 18: 2994-3008. PMID 17052156 DOI: 10.1162/neco.2006.18.12.2994  1
2006 Kaske A, Maass W. A model for the interaction of oscillations and pattern generation with real-time computing in generic neural microcircuit models. Neural Networks : the Official Journal of the International Neural Network Society. 19: 600-9. PMID 16150571 DOI: 10.1016/j.neunet.2005.06.047  1
2006 Uchizawa K, Douglas R, Maass W. Energy complexity and entropy of threshold circuits Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4051: 631-642. DOI: 10.1007/11786986_55  1
2006 Maass W, Filler A. Towards an infrastructure for semantically annotated physical products Informatik 2006 - Informatik Fur Menschen, Beitrage Der 36. Jahrestagung Der Gesellschaft Fur Informatik E.V. (Gi). 2: 544-549.  1
2006 Stahl F, Maass W. Adoption and diffusion of digital information goods: An empirical analysis of the German paid content market 19th Bled Econference "Evalues" - Conference Proceedings 1
2005 Legenstein R, Naeger C, Maass W. What can a neuron learn with spike-timing-dependent plasticity? Neural Computation. 17: 2337-82. PMID 16156932 DOI: 10.1162/0899766054796888  1
2005 Natschläger T, Maass W. Dynamics of information and emergent computation in generic neural microcircuit models. Neural Networks : the Official Journal of the International Neural Network Society. 18: 1301-8. PMID 16150570 DOI: 10.1016/j.neunet.2005.05.004  1
2005 Joshi P, Maass W. Movement generation with circuits of spiking neurons. Neural Computation. 17: 1715-38. PMID 15969915 DOI: 10.1162/0899766054026684  1
2005 Legenstein RA, Maass W. Wire length as a circuit complexity measure Journal of Computer and System Sciences. 70: 53-72. DOI: 10.1016/j.jcss.2004.06.001  1
2005 Maass W, Joshi P, Sontag ED. Principles of real-time computing with feedback applied to cortical microcircuit models Advances in Neural Information Processing Systems. 835-842.  1
2005 Legenstein R, Maass W. A criterion for the convergence of learning with spike timing dependent plasticity Advances in Neural Information Processing Systems. 762-770.  1
2005 Behrendt W, Gangemi A, Maass W, Westenthaler R. Towards an ontology-based distributed architecture for paid content Lecture Notes in Computer Science. 3532: 257-271.  1
2005 Maass W, Legenstein R, Bertschinger N. Methods for estimating the computational power and generalization capability of neural microcircuits Advances in Neural Information Processing Systems 1
2004 Maass W, Natschläger T, Markram H. Fading memory and kernel properties of generic cortical microcircuit models. Journal of Physiology, Paris. 98: 315-30. PMID 16310350 DOI: 10.1016/j.jphysparis.2005.09.020  1
2004 Melamed O, Gerstner W, Maass W, Tsodyks M, Markram H. Coding and learning of behavioral sequences. Trends in Neurosciences. 27: 11-4; discussion 14-. PMID 14698603 DOI: 10.1016/j.tins.2003.10.014  1
2004 Maass W, Markram H. On the computational power of circuits of spiking neurons Journal of Computer and System Sciences. 69: 593-616. DOI: 10.1016/j.jcss.2004.04.001  1
2004 Joshi P, Maass W. Movement generation and control with generic neural microcircuits Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3141: 258-273.  1
2004 Apostolou D, Georgolios PP, Klein B, Franz J, Maass W, Abecker A, Kafentzis K, Mentzas G. Towards provision of knowledge-intensive products and services over the Web Proceedings of the Iasted International Conference. Applied Informatics. 594-599.  1
2004 Natschläger T, Maass W. Information dynamics and emergent computation in recurrent circuits of spiking neurons Advances in Neural Information Processing Systems 1
2003 Legenstein R, Markram H, Maass W. Input prediction and autonomous movement analysis in recurrent circuits of spiking neurons. Reviews in the Neurosciences. 14: 5-19. PMID 12929914  1
2003 Häusler S, Markram H, Maass W. Perspectives of the high-dimensional dynamics of neural microcircuits from the point of view of low-dimensional readouts Complexity. 8: 39-50. DOI: 10.1002/cplx.10089  1
2003 Maass W, Natschläger T, Markram H. A model for real-time computation in generic neural microcircuits Advances in Neural Information Processing Systems 1
2002 Maass W, Natschläger T, Markram H. Real-time computing without stable states: a new framework for neural computation based on perturbations. Neural Computation. 14: 2531-60. PMID 12433288 DOI: 10.1162/089976602760407955  1
2002 Maass W, Markram H. Synapses as dynamic memory buffers. Neural Networks : the Official Journal of the International Neural Network Society. 15: 155-61. PMID 12022505 DOI: 10.1016/S0893-6080(01)00144-7  1
2002 Natschläger T, Maass W. Spiking neurons and the induction of finite state machines Theoretical Computer Science. 287: 251-265. DOI: 10.1016/S0304-3975(02)00099-3  1
2002 Legenstein RA, Maass W. Neural circuits for pattern recognition with small total wire length Theoretical Computer Science. 287: 239-249. DOI: 10.1016/S0304-3975(02)00097-X  1
2002 Auer P, Burgsteiner H, Maass W. Reducing communication for distributed learning in neural networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 123-128.  1
2002 Maass W. On the computational power of neural microcircuit models: Pointers to the literature Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 254-256.  1
2002 Maass W, Steinbauer G, Koholka R. Autonomous fast learning in a mobile robot Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2238: 345-356.  1
2002 Maass W, Legenstein R, Markram H. A New Approach Towards Vision Suggested by Biologically Realistic Neural Microcircuit Models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2525: 282-293.  1
2001 Natschläger T, Maass W. Computing the optimally fitted spike train for a synapse. Neural Computation. 13: 2477-94. PMID 11674847 DOI: 10.1162/089976601753195987  1
2001 Natschläger T, Maass W, Zador A. Efficient temporal processing with biologically realistic dynamic synapses Network: Computation in Neural Systems. 12: 75-87. DOI: 10.1088/0954-898X/12/1/305  1
2001 Grossberg S, Maass W, Markram H. Introduction: Spiking neurons in neuroscience and technology Neural Networks. 14: 587. DOI: 10.1016/S0893-6080(01)00102-2  1
2001 Maass W. On the relevance of time in neural computation and learning Theoretical Computer Science. 261: 157-178. DOI: 10.1016/S0304-3975(00)00137-7  1
2001 Natschläger T, Maass W. Finding the key to a synapse Advances in Neural Information Processing Systems 1
2001 Legenstein RA, Maass W. Foundations for a circuit complexity theory of sensory Processing Advances in Neural Information Processing Systems 1
2001 Natschläger T, Maass W, Sontag ED, Zador A. Processing of time series by neural circuits with biologically realistic synaptic dynamics Advances in Neural Information Processing Systems 1
2000 Maass W. On the computational power of winner-take-all. Neural Computation. 12: 2519-35. PMID 11110125  1
2000 Maass W, Sontag ED. Neural systems as nonlinear filters. Neural Computation. 12: 1743-72. PMID 10953237  1
2000 Maass W, Natschläger T. A model for fast analog computation based on unreliable synapses. Neural Computation. 12: 1679-704. PMID 10935922  1
2000 Maass W. Neural computation with winner-take-all as the only nonlinear operation Advances in Neural Information Processing Systems. 293-299.  1
1999 Maass W, Zador AM. Dynamic stochastic synapses as computational units. Neural Computation. 11: 903-17. PMID 10226188  1
1999 Maass W, Sontag ED. Analog neural nets with gaussian or other common noise distribution cannot recognize arbitrary regular languages. Neural Computation. 11: 771-82. PMID 10085429  1
1999 Maass W, Schmitt M. On the Complexity of Learning for Spiking Neurons with Temporal Coding Information and Computation. 153: 26-46.  1
1999 Maass W, Ruf B. On Computation with Pulses Information and Computation. 148: 202-218.  1
1999 Maass W, Sontag ED. A precise characterization of the class of languages recognized by neural nets under Gaussian and other common noise distributions Advances in Neural Information Processing Systems. 281-287.  1
1998 Maass W. A simple model for neural computation with firing rates and firing correlations. Network (Bristol, England). 9: 381-97. PMID 9861997  1
1998 Maass W. On the role of time and space in neural computation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1450: 72-83.  1
1998 Maass W, Orponen P. On the Effect of Analog Noise in Discrete-Time Analog Computations Neural Computation. 10: 1071-1095.  1
1998 Maass W, Warmuth MK. Efficient Learning with Virtual Threshold Gates Information and Computation. 141: 66-83.  1
1997 Maass W. Fast sigmoidal networks via spiking neurons. Neural Computation. 9: 279-304. PMID 9117904  1
1997 Maass W. Networks of spiking neurons: The third generation of neural network models Neural Networks. 10: 1659-1671. DOI: 10.1016/S0893-6080(97)00011-7  1
1997 Maass W, Natschlager T. Networks of spiking neurons can emulate arbitrary Hopfield nets in temporal coding Network: Computation in Neural Systems. 8: 355-371.  1
1997 Maass W. Bounds for the computational power and learning complexity of analog neural nets Siam Journal On Computing. 26: 708-732.  1
1997 Maass W. Noisy spiking neurons with temporal coding have more computational power than sigmoidal neurons Advances in Neural Information Processing Systems. 211-217.  1
1996 Dobkin DP, Gunopulos D, Maass W. Computing the maximum bichromatic discrepancy, with applications to computer graphics and machine learning Journal of Computer and System Sciences. 52: 453-470. DOI: 10.1006/jcss.1996.0034  1
1996 Maass W. Lower Bounds for the Computational Power of Networks of Spiking Neurons Neural Computation. 8: 1-40.  1
1995 Auer P, Long PM, Maass W, Woeginger GJ. On the Complexity of Function Learning Machine Learning. 18: 187-230. DOI: 10.1023/A:1022851430087  1
1995 Bultman WJ, Maass W. Fast Identification of Geometric Objects with Membership Queries Information and Computation. 118: 48-64. DOI: 10.1006/inco.1995.1051  1
1994 Chen Z, Maass W. On-Line Learning of Rectangles and Unions of Rectangles Machine Learning. 17: 201-223. DOI: 10.1023/A:1022671717849  1
1994 Maass W, Turán G. Algorithms and Lower Bounds for On-Line Learning of Geometrical Concepts Machine Learning. 14: 251-269. DOI: 10.1023/A:1022653511837  1
1993 Maass W, Schnitger G, Szemerédi E, Turán G. Two tapes versus one for off-line Turing machines Computational Complexity. 3: 392-401. DOI: 10.1007/BF01275490  1
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