PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Wolfgang Maass

Click here to see user's record.

Number of EPrints submitted by this user: 44

On the computational power of recurrent circuits of spiking neurons
Wolfgang Maass and Henry Markram
Journal of Computer and System Sciences Volume 69, Number 4, pp. 593-616, 2004.

Fading memory and kernel properties of generic cortical microcircuit models
Wolfgang Maass, Thomas Natschläger and Henry Markram
Journal of Physiology 2005.

Dynamics of information and emergent computation in generic neural microcircuit models
Thomas Natschläger and Wolfgang Maass
Neural Networks 2004.

A model for the interaction of oscillations and pattern generation with real-time computing in generic neural microcircuit models
Alexander Kaske and Wolfgang Maass
Neural Networks 2004.

Movement generation with circuits of spiking neurons
Prashant Joshi and Wolfgang Maass
Neural Computation 2004.

Methods for estimating the computational power and generalization capability of neural microcircuits
Wolfgang Maass, Robert Legenstein and Nils Bertschinger
Proc. of NIPS 2004, Advances in Neural Information Processing Systems Volume 17, 2005.

What makes a dynamical system computationally powerful?
Robert Legenstein and Wolfgang Maass
In: New Directions in Statistical Signal Processing: From Systems to Brain (2005) MIT Press .

Principles of real-time computing with feedback applied to cortical microcircuit models.
Wolfgang Maass, Prashant Joshi and Eduardo D. Sontag
In: Advances in Neural Information Processing Systems 2005, Vancouver, Canada(2006).

A Criterion for the Convergence of Learning with Spike Timing Dependent Plasticity
Robert Legenstein and Wolfgang Maass
In: Advances in Neural Information Processing Systems, 2005, Vancouver, Canada(2005).

Theory of the computational function of microcircuit dynamics
Wolfgang Maass and Henry Markram
In: Dahlem Workshop on Microcircuits(2005).

Coding and learning of behavioral sequences
Ofer Melamed, Wulfram Gerstner, Wolfgang Maass, Misha Tsodyks and Henry Markram
Trends in Neurosciences Volume 27, Number 1, pp. 11-14, 2004.

What can a Neuron Learn with Spike-Timing-Dependent Plasticity?
Robert Legenstein, Christian Näger and Wolfgang Maass
Neural Computation Volume 17, Number 11, pp. 2337-2382, 2005.

Edge of chaos and prediction of computational power for neural microcircuit models
Robert Legenstein and Wolfgang Maass
Neural Computation 2005.

A statistical analysis of information processing properties of lamina-specific cortical microcircuit models
Stefan Häusler and Wolfgang Maass
Cerebral Cortex 2005.

Movement generation and control with generic neural microcircuits
Prashant Joshi and Wolfgang Maass
In: Biologically Inspired Approaches to Advanced Information Technology. First International Workshop, BioADIT 2004, Lausanne, Switzerland. Lecture Notes in Computer Science (3141). (2004) Springer Verlag , pp. 258-273.

Information bottleneck optimization and independent component extraction with spiking neurons
Stefan Klampfl, Robert Legenstein and Wolfgang Maass
In: NIPS 2006, 04 Dec - 07 Dec 2006, Vancouver, Canada.

Temporal dynamics of information content carried by neurons in the primary visual cortex.
Danko Nikolic, Stefan Häusler, Wolf Singer and Wolfgang Maass
In: NIPS 2006, 04 - 07 Dec 2006, Vancouver, Canada.

Edge of Chaos and Prediction of Computational Performance for Neural Circuit Models
Robert Legenstein and Wolfgang Maass
Neural Networks Number Special Issue on Echo State and Liquid State Networks, 2007.

On the classification capability of sign-constrained perceptrons.
Robert Legenstein and Wolfgang Maass
Neural Computation 2007.

Simplified rules and theoretical analysis for information bottleneck optimization and PCA with spiking neurons
Lars Büsing and Wolfgang Maass
In: NIPS 2007, 3-8 Dec 2007, Vancouver, Canada.

Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity
Robert Legenstein, Dejan Pecevski and Wolfgang Maass
In: NIPS 2007, 3-8 Dec 2007, Vancouver, Canada.

Biologically Inspired Kinematic Synergies Provide a New Paradigm for Balance Control of Humanoid Robots
Helmut Hauser, Gerhard Neumann, Auke Jan Ijspeert and Wolfgang Maass
In: HUMANOIDS 2007, 29 Nov - 01 Dec 2007, Pittsburgh, USA.

Introduction to the special issue on echo state networks and liquid state machines.
Herbert Jäger, Wolfgang Maass and Jose Principe
Neural Networks Volume 20, Number 3, pp. 287-289, 2007.

Inferring spike trains from local field potentials.
Malte Rasch, Arthur Gretton, Yusuke Murayama, Wolfgang Maass and Nikos Logothetis
Journal of Neurophysiology 2007.

Book review of "Imitation of life: How biology is inspiring computing" by Nancy Forbes
Wolfgang Maass
Pattern Analysis and Applications Volume 8, Number 4, pp. 390-391, 2006.

Biologically Inspired Kinematic Synergies Enable Linear Balance Control of a Humanoid Robot
Helmut Hauser, Gerhard Neumann, Auke Ijspeert and Wolfgang Maass
Biological Cybernetics 2010.

New Biologically Inspired Control Paradigms for Robots: Kinematic Synergies and Morphological Computation
Helmut Hauser
(2010) PhD thesis, Graz University of Technology.

Biological and Functional Models of Learning in Networks of Spiking Neurons
Lars Büsing
(2010) PhD thesis, Graz University of Technology.

How Could Networks of Neurons Learn to Carry Out Probabilistic Inference
Wolfgang Maass
In: Cognitive Science and Machine Learning Summer School, 6 May - 12 May 2010, Sardinia, Italy.

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.
Malte Rasch, Klaus Schuch, Nikos Logothetis and Wolfgang Maass
J Neurophysiol Volume 105, Number 2, pp. 757-778, 2011.

Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons
Lars Büsing, Johannes Bill, Bernhard Nessler and Wolfgang Maass
PLoS Computational Biology Volume 7, Number 11, 2011.

Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons
Dejan Pecevski, Lars Büsing and Wolfgang Maass
PLoS Computational Biology Volume 7, Number 12, 2011.

Towards a theoretical foundation for morphological computation with compliant bodies.
Helmut Hauser, Auke Ijspeert, Rudolf Fuechslin, Rolf Pfeiffer and Wolfgang Maass
Biological Cybernetics Volume 105, Number 5-6, pp. 355-370, 2012.

Modelling Inference and Learning in Biological Networks of Neurons
Dejan Pecevski
(2011) PhD thesis, Graz University of Technology.

Oger: Modular Learning Architectures For Large-Scale Sequential Processing
David Verstraeten, Benjamin Schrauwen, Sander Dieleman, Philemon Brakel, Pieter Buteneers and Dejan Pecevski
Journal of Machine Learning Research Volume 13, Number 10, pp. 2995-2998, 2012.

Analysis of Probabilistic Inference in Recurrent Networks of Spiking Neurons
Sabine Schneider
(2012) Masters thesis, Graz University of Technology.

A Theoretical Framework for Morphological Computation
Wolfgang Maass
In: 2nd International Conference on Morphological Computation, 12-14 Sep 2011, Venice, Italy.

Probing Real Sensory Worlds of Receivers with Unsupervised Clustering
Michael Pfeiffer, Manfred Hartbauer, Alexander Lang, Wolfgang Maass and Heinrich Roemer
PLOS One Volume 7, Number 6, e37354, 2012.

A quantitative analysis of information about past and present stimuli encoded by spikes of A1 neurons
Stefan Klampfl, Stephen David, Pingbo Yin, Shihab Shamma and Wolfgang Maass
Journal of Neurophysiology Volume 108, Number 5, pp. 1366-1380, 2012.

The role of feedback in morphological computation with compliant bodies
Helmut Hauser, Auke Ijspeert, Rudolf Fuechslin, Rolf Pfeiffer and Wolfgang Maass
Biological Cybernetics Volume 106, Number 10, pp. 595-613, 2012.

Emergence of Complex Computational Structures From Chaotic Neural Networks Through Reward-Modulated Hebbian Learning
Gregor Hörzer, Robert Legenstein and Wolfgang Maass
Cerebral Cortex 2012.

Liquid Computing in a Simplified Model of Cortical Layer IV: Learning to Balance a Ball
Dimitri Probst, Wolfgang Maass, Henry Markram and Marc-Oliver Gewaltig
In: ICANN 2012, 11-14 Sep 2012, Lausanne, Switzerland.

Liquid computing with memory: Cell assembly self-organization through STDP
Stefan Klampfl and Wolfgang Maass
In: Society for Neuroscience Annual Conference 2012, 13-17 Oct 2012, New Orleans, US.

Emergence of dynamic memory traces in cortical microcircuit models through STDP
Stefan Klampfl and Wolfgang Maass
. 2012.