Wolfgang Maass

ORCID

Publication Activity (10 Years)

Years Active: 1977-2023
Publications (10 Years): 36

Top Venues

Publications

Wolfgang Maass
How can neuromorphic hardware attain brain-like functional capabilities? CoRR (2023)
Arjun Rao, Philipp Plank, Andreas Wild, Wolfgang Maass
A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware. Nat. Mach. Intell. 4 (5) (2022)
Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Steve B. Furber, Emre Neftci, Franz Scherr, Wolfgang Maass, Srikanth Ramaswamy, Jonathan Tapson, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Gabriella Panuccio, Mufti Mahmud, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds
2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 2 (2) (2022)
Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Emre Neftci, Srikanth Ramaswamy, Jonathan Tapson, Franz Scherr, Wolfgang Maass, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds
2021 Roadmap on Neuromorphic Computing and Engineering. CoRR (2021)
Christoph Stöckl, Wolfgang Maass
Optimized spiking neurons can classify images with high accuracy through temporal coding with two spikes. Nat. Mach. Intell. 3 (3) (2021)
Luke Y. Prince, Ellen Boven, Roy Henha Eyono, Arna Ghosh, Joe Pemberton, Franz Scherr, Claudia Clopath, Rui Ponte Costa, Wolfgang Maass, Blake A. Richards, Cristina Savin, Katharina Anna Wilmes
CCN GAC Workshop: Issues with learning in biological recurrent neural networks. CoRR (2021)
Philipp Plank, Arjun Rao, Andreas Wild, Wolfgang Maass
A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware. CoRR (2021)
Jacques Kaiser, Michael Hoff, Andreas Konle, Juan Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann
Embodied Synaptic Plasticity with Online Reinforcement learning. CoRR (2020)
Thomas Bohnstingl, Stanislaw Wozniak, Wolfgang Maass, Angeliki Pantazi, Evangelos Eleftheriou
Online spatio-temporal learning in deep neural networks. CoRR (2020)
Christoph Stöckl, Wolfgang Maass
Classifying Images with Few Spikes per Neuron. CoRR (2020)
Christoph Stöckl, Wolfgang Maass
Recognizing Images with at most one Spike per Neuron. CoRR (2020)
Guillaume Bellec, Franz Scherr, Elias Hajek, Darjan Salaj, Robert Legenstein, Wolfgang Maass
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets. CoRR (2019)
Yexin Yan, David Kappel, Felix Neumärker, Johannes Partzsch, Bernhard Vogginger, Sebastian Höppner, Steve B. Furber, Wolfgang Maass, Robert Legenstein, Christian Mayr
Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype. IEEE Trans. Biomed. Circuits Syst. 13 (3) (2019)
Anand Subramoney, Franz Scherr, Wolfgang Maass
Reservoirs learn to learn. CoRR (2019)
Jacques Kaiser, Michael Hoff, Andreas Konle, Juan Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rüdiger Dillmann
Embodied Synaptic Plasticity With Online Reinforcement Learning. Frontiers Neurorobotics 13 (2019)
Yexin Yan, David Kappel, Felix Neumärker, Johannes Partzsch, Bernhard Vogginger, Sebastian Höppner, Steve B. Furber, Wolfgang Maass, Robert Legenstein, Christian Mayr
Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype. CoRR (2019)
Thomas Bohnstingl, Franz Scherr, Christian Pehle, Karlheinz Meier, Wolfgang Maass
Neuromorphic Hardware learns to learn. CoRR (2019)
Guillaume Bellec, Darjan Salaj, Anand Subramoney, Robert Legenstein, Wolfgang Maass
Long short-term memory and Learning-to-learn in networks of spiking neurons. CoRR (2018)
Nima Anari, Constantinos Daskalakis, Wolfgang Maass, Christos H. Papadimitriou, Amin Saberi, Santosh S. Vempala
Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons. NeurIPS (2018)
Nima Anari, Constantinos Daskalakis, Wolfgang Maass, Christos H. Papadimitriou, Amin Saberi, Santosh S. Vempala
Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons. CoRR (2018)
Guillaume Bellec, Darjan Salaj, Anand Subramoney, Robert Legenstein, Wolfgang Maass
Long short-term memory and Learning-to-learn in networks of spiking neurons. NeurIPS (2018)
Guillaume Bellec, David Kappel, Wolfgang Maass, Robert Legenstein
Deep Rewiring: Training very sparse deep networks. ICLR (Poster) (2018)
Robert Legenstein, Wolfgang Maass, Christos H. Papadimitriou, Santosh S. Vempala
Long Term Memory and the Densest K-Subgraph Problem. ITCS (2018)
Mihai A. Petrovici, Sebastian Schmitt, Johann Klähn, David Stöckel, Anna Schroeder, Guillaume Bellec, Johannes Bill, Oliver Breitwieser, Ilja Bytschok, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Paul Müller, Johannes Partzsch, Thomas Pfeil, Stefan Schiefer, Stefan Scholze, Anand Subramoney, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, René Schüffny, Christian Mayr, Johannes Schemmel, Karlheinz Meier
Pattern representation and recognition with accelerated analog neuromorphic systems. CoRR (2017)
Guillaume Bellec, David Kappel, Wolfgang Maass, Robert Legenstein
Deep Rewiring: Training very sparse deep networks. CoRR (2017)
Mihai A. Petrovici, Sebastian Schmitt, Johann Klähn, Robert D. St. Louis, Anna Schroeder, Guillaume Bellec, Johannes Bill, Oliver Breitwieser, Ilja Bytschok, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Thomas Pfeil, Stefan Schiefer, Stefan Scholze, Anand Subramoney, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, René Schüffny, Christian Mayr, Johannes Schemmel, Karlheinz Meier
Pattern representation and recognition with accelerated analog neuromorphic systems. ISCAS (2017)
Sebastian Schmitt, Johann Klähn, Guillaume Bellec, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Mihai A. Petrovici, Stefan Schiefer, Stefan Scholze, Vasilis N. Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, Christian Mayr, René Schüffny, Johannes Schemmel, Karlheinz Meier
Neuromorphic hardware in the loop: Training a deep spiking network on the BrainScaleS wafer-scale system. IJCNN (2017)
David Kappel, Robert Legenstein, Stefan Habenschuss, Michael Hsieh, Wolfgang Maass
Reward-based stochastic self-configuration of neural circuits. CoRR (2017)
Sebastian Schmitt, Johann Klaehn, Guillaume Bellec, Andreas Grübl, Maurice Guettler, Andreas Hartel, Stephan Hartmann, Dan Husmann de Oliveira, Kai Husmann, Vitali Karasenko, Mitja Kleider, Christoph Koke, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Mihai A. Petrovici, Stefan Schiefer, Stefan Scholze, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, Christian Mayr, Johannes Schemmel, Karlheinz Meier
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System. CoRR (2017)
Robert Legenstein, Christos H. Papadimitriou, Santosh S. Vempala, Wolfgang Maass
Variable Binding through Assemblies in Spiking Neural Networks. CoCo@NIPS (2016)
Zhaofei Yu, David Kappel, Robert Legenstein, Sen Song, Feng Chen, Wolfgang Maass
Hamiltonian synaptic sampling in a model for reward-gated network plasticity. CoRR (2016)
Wolfgang Maass
Energy-efficient neural network chips approach human recognition capabilities. Proc. Natl. Acad. Sci. USA 113 (41) (2016)
David Kappel, Stefan Habenschuss, Robert Legenstein, Wolfgang Maass
Network Plasticity as Bayesian Inference. PLoS Comput. Biol. 11 (11) (2015)
David Kappel, Stefan Habenschuss, Robert Legenstein, Wolfgang Maass
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring. NIPS (2015)
Wolfgang Maass
To Spike or Not to Spike: That Is the Question. Proc. IEEE 103 (12) (2015)
David Kappel, Stefan Habenschuss, Robert Legenstein, Wolfgang Maass
Network Plasticity as Bayesian Inference. CoRR (2015)
Wolfgang Maass
Noise as a Resource for Computation and Learning in Networks of Spiking Neurons. Proc. IEEE 102 (5) (2014)
David Kappel, Bernhard Nessler, Wolfgang Maass
STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning. PLoS Comput. Biol. 10 (3) (2014)
Zeno Jonke, Stefan Habenschuss, Wolfgang Maass
A theoretical basis for efficient computations with noisy spiking neurons. CoRR (2014)
Robert Legenstein, Wolfgang Maass
Ensembles of Spiking Neurons with Noise Support Optimal Probabilistic Inference in a Dynamically Changing Environment. PLoS Comput. Biol. 10 (10) (2014)
Stefan Habenschuss, Zeno Jonke, Wolfgang Maass
Stochastic Computations in Cortical Microcircuit Models. PLoS Comput. Biol. 9 (11) (2013)
Bernhard Nessler, Michael Pfeiffer, Lars Buesing, Wolfgang Maass
Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity. PLoS Comput. Biol. 9 (4) (2013)
Stefan Habenschuss, Helmut Puhr, Wolfgang Maass
Emergence of Optimal Decoding of Population Codes Through STDP. Neural Comput. 25 (6) (2013)
Dimitri Probst, Wolfgang Maass, Henry Markram, Marc-Oliver Gewaltig
Liquid Computing in a Simplified Model of Cortical Layer IV: Learning to Balance a Ball. ICANN (1) (2012)
Helmut Hauser, Auke Jan Ijspeert, Rudolf M. Füchslin, Rolf Pfeifer, Wolfgang Maass
The role of feedback in morphological computation with compliant bodies. Biol. Cybern. 106 (10) (2012)
Elmar A. Rückert, Gerhard Neumann, Marc Toussaint, Wolfgang Maass
Learned graphical models for probabilistic planning provide a new class of movement primitives. Frontiers Comput. Neurosci. 6 (2012)
Helmut Hauser, Auke Jan Ijspeert, Rudolf M. Füchslin, Rolf Pfeifer, Wolfgang Maass
Towards a theoretical foundation for morphological computation with compliant bodies. Biol. Cybern. 105 (5-6) (2011)
Dejan Pecevski, Lars Buesing, Wolfgang Maass
Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons. PLoS Comput. Biol. 7 (12) (2011)
Helmut Hauser, Gerhard Neumann, Auke Jan Ijspeert, Wolfgang Maass
Biologically inspired kinematic synergies enable linear balance control of a humanoid robot. Biol. Cybern. 104 (4-5) (2011)
Lars Buesing, Johannes Bill, Bernhard Nessler, Wolfgang Maass
Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons. PLoS Comput. Biol. 7 (11) (2011)
Barbara Hammer, Pascal Hitzler, Wolfgang Maass, Marc Toussaint
10302 Summary - Learning paradigms in dynamic environments. Learning paradigms in dynamic environments (2010)
Johannes Bill, Klaus Schuch, Daniel Brüderle, Johannes Schemmel, Wolfgang Maass, Karlheinz Meier
Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic Plasticity. Frontiers Comput. Neurosci. 4 (2010)
Michael Pfeiffer, Bernhard Nessler, Rodney J. Douglas, Wolfgang Maass
Reward-Modulated Hebbian Learning of Decision Making. Neural Comput. 22 (6) (2010)
Barbara Hammer, Pascal Hitzler, Wolfgang Maass, Marc Toussaint
10302 Abstracts Collection - Learning paradigms in dynamic environments. Learning paradigms in dynamic environments (2010)
Stefan Klampfl, Wolfgang Maass
A Theoretical Basis for Emergent Pattern Discrimination in Neural Systems Through Slow Feature Extraction. Neural Comput. 22 (12) (2010)
Lars Buesing, Wolfgang Maass
A Spiking Neuron as Information Bottleneck. Neural Comput. 22 (8) (2010)
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
STDP enables spiking neurons to detect hidden causes of their inputs. NIPS (2009)
Andreas Steimer, Wolfgang Maass, Rodney J. Douglas
Belief Propagation in Networks of Spiking Neurons. Neural Comput. 21 (9) (2009)
Robert Legenstein, Steven M. Chase, Andrew B. Schwartz, Wolfgang Maass
Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning. NIPS (2009)
Stefan Klampfl, Robert Legenstein, Wolfgang Maass
Spiking Neurons Can Learn to Solve Information Bottleneck Problems and Extract Independent Components. Neural Comput. 21 (4) (2009)
Gerhard Neumann, Wolfgang Maass, Jan Peters
Learning complex motions by sequencing simpler motion templates. ICML (2009)
Stefan Klampfl, Wolfgang Maass
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks. NIPS (2009)
Peter Auer, Harald Burgsteiner, Wolfgang Maass
A learning rule for very simple universal approximators consisting of a single layer of perceptrons. Neural Networks 21 (5) (2008)
Robert Legenstein, Wolfgang Maass
On the Classification Capability of Sign-Constrained Perceptrons. Neural Comput. 20 (1) (2008)
Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass
08041 Abstracts Collection -- Recurrent Neural Networks - Models, Capacities, and Applications. Recurrent Neural Networks (2008)
Robert Legenstein, Dejan Pecevski, Wolfgang Maass
A Learning Theory for Reward-Modulated Spike-Timing-Dependent Plasticity with Application to Biofeedback. PLoS Comput. Biol. 4 (10) (2008)
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
Hebbian Learning of Bayes Optimal Decisions. NIPS (2008)
Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass
08041 Summary -- Recurrent Neural Networks - Models, Capacities, and Applications. Recurrent Neural Networks (2008)
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs. ECML (2007)
Lars Buesing, Wolfgang Maass
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons. NIPS (2007)
Wolfgang Maass
Liquid Computing. CiE (2007)
Robert Legenstein, Wolfgang Maass
Edge of chaos and prediction of computational performance for neural circuit models. Neural Networks 20 (3) (2007)
Herbert Jaeger, Wolfgang Maass, José Carlos Príncipe
Special issue on echo state networks and liquid state machines. Neural Networks 20 (3) (2007)
Robert Legenstein, Dejan Pecevski, Wolfgang Maass
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity. NIPS (2007)
Wolfgang Maass, Prashant Joshi, Eduardo D. Sontag
Computational Aspects of Feedback in Neural Circuits. PLoS Comput. Biol. 3 (1) (2007)
Helmut Hauser, Gerhard Neumann, Auke Jan Ijspeert, Wolfgang Maass
Biologically inspired kinematic synergies provide a new paradigm for balance control of humanoid robots. Humanoids (2007)
Kei Uchizawa, Rodney J. Douglas, Wolfgang Maass
On the Computational Power of Threshold Circuits with Sparse Activity. Neural Comput. 18 (12) (2006)
Wolfgang Maass, Kei Uchizawa, Rodney J. Douglas
Energy Complexity and Entropy of Threshold Circuits. Electron. Colloquium Comput. Complex. 13 (138) (2006)
Wolfgang Maass
"Imitation of life: how biology is inspiring computing" by Nancy Forbes. Pattern Anal. Appl. 8 (4) (2006)
Stefan Klampfl, Robert Legenstein, Wolfgang Maass
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons. NIPS (2006)
Danko Nikolic, Stefan Häusler, Wolf Singer, Wolfgang Maass
Temporal dynamics of information content carried by neurons in the primary visual cortex. NIPS (2006)
Kei Uchizawa, Rodney J. Douglas, Wolfgang Maass
Energy Complexity and Entropy of Threshold Circuits. ICALP (1) (2006)
Wolfgang Maass, Prashant Joshi, Eduardo D. Sontag
Computational aspects of feedback in neural circuits. Electron. Colloquium Comput. Complex. 13 (137) (2006)
Alexander Kaske, Wolfgang Maass
A model for the interaction of oscillations and pattern generation with real-time computing in generic neural microcircuit models. Neural Networks 19 (5) (2006)
Prashant Joshi, Wolfgang Maass
Movement Generation with Circuits of Spiking Neurons. Neural Comput. 17 (8) (2005)
Robert Legenstein, Wolfgang Maass
A Criterion for the Convergence of Learning with Spike Timing Dependent Plasticity. NIPS (2005)
Wolfgang Maass, Prashant Joshi, Eduardo D. Sontag
Principles of real-time computing with feedback applied to cortical microcircuit models. NIPS (2005)
Robert Legenstein, Wolfgang Maass
Wire length as a circuit complexity measure. J. Comput. Syst. Sci. 70 (1) (2005)
Thomas Natschläger, Wolfgang Maass
Dynamics of information and emergent computation in generic neural microcircuit models. Neural Networks 18 (10) (2005)
Robert Legenstein, Christian Naeger, Wolfgang Maass
What Can a Neuron Learn with Spike-Timing-Dependent Plasticity? Neural Comput. 17 (11) (2005)
Prashant Joshi, Wolfgang Maass
Movement Generation and Control with Generic Neural Microcircuits. BioADIT (2004)
Wolfgang Maass, Robert Legenstein, Nils Bertschinger
Methods for Estimating the Computational Power and Generalization Capability of Neural Microcircuits. NIPS (2004)
Wolfgang Maass, Henry Markram
On the computational power of circuits of spiking neurons. J. Comput. Syst. Sci. 69 (4) (2004)
Thomas Natschläger, Wolfgang Maass
Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons. NIPS (2003)
Stefan Häusler, Henry Markram, Wolfgang Maass
Perspectives of the high-dimensional dynamics of neural microcircuits from the point of view of low-dimensional readouts. Complex. 8 (4) (2003)
Wolfgang Maass, Henry Markram
On the Computational Power of Recurrent Circuits of Spiking Neurons Electron. Colloquium Comput. Complex. (022) (2002)
Wolfgang Maass, Henry Markram
Synapses as dynamic memory buffers. Neural Networks 15 (1) (2002)
Wolfgang Maass, Thomas Natschläger, Henry Markram
A Model for Real-Time Computation in Generic Neural Microcircuits. NIPS (2002)
Thomas Natschläger, Wolfgang Maass
Spiking neurons and the induction of finite state machines. Theor. Comput. Sci. 287 (1) (2002)
Peter Auer, Harald Burgsteiner, Wolfgang Maass
Reducing Communication for Distributed Learning in Neural Networks. ICANN (2002)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wolfgang Maass