Hebbian Learning of Bayes Optimal Decisions (2009)
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
Uncertainty is omnipresent when we perceive or interact with our environment, and the Bayesian framework provides computational methods for dealing with it. Mathematical models for Bayesian decision...
Vocabulary Patterns in Free-for-all Collaborative Indexing Systems (2009)
Wolfgang Maass, Tobias Kowatsch, Timo Münster
Abstract. In collaborative indexing systems users generate a big amount of metadata by labelling web-based content. These labels are known as tags and form a shared vocabulary. In order to understand...
Dimitris Apostolou, Panagiotis-petros Georgolios, Bertin Klein, Jasmin Franz, Wolfgang Maass, ...
The overall objective of the INKASS ("Intelligent Knowledge Asset Sharing and Trading") project is to develop an intelligent Internet-based marketplace of knowledge assets. At the core of...
† Corresponding author. (2009)
A model for the interaction of oscillations and pattern
Hebbian learning of Bayes optimal decisions (2009)
Nessler, Bernhard, Pfeiffer, Michael, Maass, Wolfgang
When we perceive our environment, make a decision, or take an action, our brain has to deal with multiple sources of uncertainty. The Bayesian framework of statistical estimation provides...
Reward-modulated Hebbian Learning of Optimal Decision Making (2009)
Pfeiffer, Michael, Nessler, Bernhard, Douglas, Rodney J., Maass, Wolfgang
We introduce a framework for Bayesian decision making in which the learning of optimal decisions is reduced to its simplest and biologically most plausible form: Hebbian learning on a linear neuron....
Wolfgang Maass, Tobias Kowatsch
Tangible User Interfaces (TUI) extend Human-Computer Interaction to physical environments. In this study, TUI are used as front ends for E-Commerce applications for the first time. Based on consumer...
Tobias Kowatsch, Wolfgang Maass
Digital product reviews provided by users and experts are used as purchase decision cues. In contrast to reviews obtained by websites on the desktop, it is open if they are adopted in in-store...
D1.1 Report: Design of the Semantic Benchmark Experiment (2009)
Tobias Kowatsch, Wolfgang Maass, Violeta Damjanovic, Wernher Behrendt, Andreas Gruber, Benjamin Nagel, ...
The objective of this deliverable is to design a benchmark model for Content Management Systems (CMSs) in order to identify relevant requirements for the Interactive Knowledge Stack (IKS). The IKS...
Tobias Kowatsch, Wolfgang Maass
Marketing research has identified several benefits of dynamic pricing strategies. For example, dynamic pricing in terms of inventory considerations and time horizons, bundling or personalized...
Tobias Kowatsch, Wolfgang Maass
Marketing research has identified several benefits of dynamic pricing strategies. For example, dynamic pricing in terms of inventory considerations and time horizons, bundling or personalized...
Address for Correspondence: (2008)
Wolfgang Maass, Thomas Natschläger, Henry Markram, Wolfgang Maass, Thomas Natschlaeger, ...
A key challenge for neural modeling is to explain how a continuous stream of multi-modal input from a rapidly changing environment can be processed by stereotypical recurrent circuits of...
A Hebbian Learning Rule for Optimal Decision Making (2008)
Pfeiffer, Michael, Nessler, Bernhard, Maass, Wolfgang
Humans and animals can learn to make close to optimal decisions, even if there are multiple sources of uncertainty in their environment. The Bayesian framework has proved to be a valuable...
Legenstein, Robert, Pecevski, Dejan, Maass, Wolfgang
Reward-modulated spike-timing-dependent plasticity (STDP) has recently emerged as a candidate for a learning rule that could explain how behaviorally relevant adaptive changes in complex networks of...
Address for Correspondence: (2008)
Wolfgang Maass, Thomas Natschläger, Henry Markram, Wolfgang Maass, Thomas Natschlaeger, ...
A key challenge for neural modeling is to explain how a continuous stream of multi-modal input from a rapidly changing environment can be processed by stereotypical recurrent circuits of...
Self-tuning of neural circuits through short-term synaptic plasticity (2008)
David Sussillo, Taro Toyoizumi, Wolfgang Maass
Numerous experimental data show that cortical networks of neurons are not silent in the absence of external inputs, but rather maintain a low spontaneous firing activity. This aspect of cortical...
We discuss models for computation in cortical microcircuits in the light of general computational theories and biological data.
Networks of Spiking Neurons Using Unreliable Synapses (2008)
Thomas Natschlager, Wolfgang Maass
Abstract. We investigate through theoretical analysis and computer simulations the consequences of unreliable synapses for fast analog computations in networks of spiking neurons, with analog...
The Leaky Integrate-and-fire Neuron (2008)
Prashant Joshi, Wolfgang Maass
• 2-joint robot arm control with generic spiking neural microcircuits.
Article No. IC972686 Efficient Learning with Virtual Threshold Gates* (2008)
Wolfgang Maass, Manfred K. Warmuth
E-mail: manfred cis.ucsc.edu We reduce learning simple geometric concept classes to learning disjunctions over exponentially many variables. We then apply an online algorithm called Winnow whose...
A Criterion for the Convergence of Learning with Spike Timing Dependent Plasticity (2008)
Robert Legenstein, Wolfgang Maass
We investigate under what conditions a neuron can learn by experimentally supported rules for spike timing dependent plasticity (STDP) to predict the arrival times of strong “teacher inputs ” to...
Chapter 9 Computer Models and Analysis Tools for Neural (2008)
Thomas Natschläger, Henry Markram, Wolfgang Maass
Abstract: This chapter surveys web resources regarding computer models and analysis tools for neural microcircuits. In particular it describes the features of a new website (www.lsm.tugraz.at) that...
Thomas Natschläger, Wolfgang Maass, Eduardo D. Sontag, Anthony Zador
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i.e., their “weight...
Wolfgang Maass, Thomas Natschläger, Henry Markram
A key challenge for neural modeling is to explain how a continuous stream of multi-modal input from a rapidly changing environment can be processed by stereotypical recurrent circuits of...
Wolfgang Maass, Thomas Natschläger, Henry Markram
A key challenge for neural modeling is to explain how a continuous stream of multi-modal input from a rapidly changing environment can be processed by stereotypical recurrent circuits of...
We show that under suitable assumptions (primarily linearization) a simple and perspicuous online learning rule for Information Bottleneck optimization with spiking neurons can be derived. This rule...
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity (2008)
Robert Legenstein, Dejan Pecevski, Wolfgang Maass
Reward-modulated spike-timing-dependent plasticity (STDP) has recently emerged as a candidate for a learning rule that could explain how local learning rules at single synapses support behaviorally...
Wolfgang Maass, Tobias Kowatsch
Mobile recommendation agents (MRA) are a new class of decision support systems that provide consumers with product information during purchase situations in stores. They allow merging of local...
The Impact of Pre-Defined Terms on the Vocabulary of Collaborative Indexing Systems (2008)
Tobias Kowatsch, Wolfgang Maass
Collaborative indexing systems have attracted an increasing amount of attention over the last three years. One fundamental limitation to such a system is the uncontrolled nature of its vocabulary, as...
Wolfgang Maass, Tobias Kowatsch
Up until now, brick-and-mortar stores provide consumers with static product information in the form of printed product labels. This kind of product information does neither adapt to consumer needs...
Auer, Peter, Burgsteiner, Harald, Maass, Wolfgang
One may argue that the simplest type of neural networks beyond a single perceptron is an array of several perceptrons in parallel. In spite of their simplicity, such circuits can compute any Boolean...
08041 Summary -- Recurrent Neural Networks - Models, Capacities, and Applications (2008)
De Raedt, Luc, Hammer, Barbara, Hitzler, Pascal, Maass, Wolfgang
The seminar centered around recurrent information processing in neural systems and its connections to brain sciences, on the one hand, and higher symbolic reasoning, on the other side. The goal was...
De Raedt, Luc, Hammer, Barbara, Hitzler, Pascal, Maass, Wolfgang
From January 20 to 25 2008, the Dagstuhl Seminar 08041 ``Recurrent Neural Networks- Models, Capacities, and Applications'' was held in the International Conference and Research Center (IBFI), Schloss...
We show that under suitable assumptions (primarily linearization) a simple and perspicuous online learning rule for Information Bottleneck optimization with spiking neurons can be derived. This rule...
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity (2007)
Legenstein, Robert, Pecevski, Dejan, Maass, Wolfgang
Reward-modulated spike-timing-dependent plasticity (STDP) has recently emerged as a candidate for a learning rule that could explain how local learning rules at single synapses support behaviorally...
NeuroCOLT Coordinating Partner (2007)
Recently one has started to investigate the computational power of spiking neurons (also called "integrate and fire neurons"). These are neuron models that are substantially more...
Wolfgang Maass, K. Y. Siu, A. Orlitsky, Kluwer Academic Publishers
This paper discusses within the framework of computational learning theory the current state of knowledge and some open problems in three areas of research about learning on feedforward neural nets:
Neural Circuits for Pattern Recognition with (2007)
Robert A. Legenstein, Wolfgang Maass
One of the most basic pattern recognition problems is whether a certain local feature occurs in some linear array to the left of some other local fea-ture. We construct in this article circuits that...
Lehrstuhl Mathematik und Informatik Fakultt fiJr Mathematik (2007)
Wolfgang Maass, Michael Schmitt
NC2-TR-1999-040
Finding the Key to a Synapse (2007)
Thomas Natschliger, Wolfgang Maass
Experimental data have shown that synapses are heterogeneous: different synapses respond with different sequences of amplitudes of postsynaptic responses to the same spike train. Neither the role of...
Produced as part of the ESPRIT Working Group in Neural and Computational Learning II, (2007)
Wolfgang Maass, Anthony M. Zador
For more information see the NeuroCOLT website
in Neural and Computational Learning II, (2007)
For more information see the NeuroCOLT website
Produced as part of the ESPRIT Working Group in Neural and Computational Learning II, (2007)
Wolfgang Maass, Anthony M. Zador
For more information see the NeuroCOLT website
Produced as part of the ESPRIT Working Group in Neural and Computational Learning II, (2007)
Wolfgang Maass, Eduardo D. Sontag
For more information see the NeuroCOLT website
in Neural and Computational Learning II, (2007)
For more information see the NeuroCOLT website
A Learning Rule for Universal Approximators with a Single Non-Linearity (2007)
Harald M. Burgsteiner, Peter Auer, Wolfgang Maass
A learning algorithm is presented for circuits consisting of a single soft winner-take-all or k-winner-take-all gate applied to linear sums. We show that for these circuits gradient descent with...
NeuroCOLT Coordinating Partner (2007)
Recently one has started to investigate the computational power of spiking neurons (also called "integrate and fire neurons"). These are neuron models that are substantially more...
in Neural and Computational Learning II, (2007)
Wolfgang Maass, Eduardo D. Sontag
For more information see the NeuroCOLT website
|Research Focus Coding and learning of behavioral sequences (2007)
Ofer Melamed, Wulfram Gerstner, Wolfgang Maass, Misha Tsodyks, Henry Markram
A major challenge to understanding behavior is how the nervous system allows the learning of behavioral sequences that can occur over arbitrary timescales, ranging from milliseconds up to seconds,...
Hauser, Helmut, Neumann, Gerhard, Ijspeert, Auke Jan, Maass, Wolfgang
Nature has developed methods for controlling the movements of organisms with many degrees of freedom which differ strongly from existing approaches for balance control in humanoid robots: Biological...
Efficient continuous-time reinforcement learning with adaptive state graphs (2007)
Neumann, Gerhard, Pfeiffer, Michael, Maass, Wolfgang
We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of finding solution...
Distributed Fading Memory for Stimulus Properties in the Primary Visual Cortex (2007)
Nikolić, Danko, Häusler, Stefan, Singer, Wolf, Maass, Wolfgang
It is currently not known how efficiently distributed neuronal responses in early visual areas carry stimulus-related information. We made multi-electrode recordings from cat primary visual cortex...
Inferring spike trains from local field potentials. (2007)
Rasch, Malte, Gretton, Arthur, Murayama, Yusuke, Maass, Wolfgang, Logothetis, Nikos
We investigated whether it is possible to infer spike trains solely on the basis of the underling local field potentials (LFPs). Employing support vector machines and linear regression models, we...
Introduction to the special issue on echo state networks and liquid state machines. (2007)
Jäger, Herbert, Maass, Wolfgang, Principe, Jose
Seeking plausible models for brain computation has been a continuing effort in neuroscience, computer science, biophysics and machine learning. Quite generally speaking, there are two routes toward...
Klampfl, Stefan, Legenstein, Robert, Maass, Wolfgang
Independent Component Analysis (or blind source separation) is assumed to be an essential component of sensory processing in the brain and could provide a less redundant representation about the...
Computational Aspects of Feedback in Neural Circuits (2007)
Wolfgang Maass, Prashant Joshi, Eduardo D. Sontag
It has previously been shown that generic cortical microcircuit models can perform complex real-time computations on continuous input streams, provided that these computations can be carried out with...
Inter-Organizational Knowledge Exchanges (2007)
Dimitris Apostolou, Gregoris Mentzas, Bertin Klein, Andreas Abecker, Wolfgang Maass
Temporal dynamics of information content carried by neurons in the primary visual cortex. (2007)
Nikolic, Danko, Häusler, Stefan, Singer, Wolf, Maass, Wolfgang
We use multi-electrode recordings from cat primary visual cortex and investigate whether a simple linear classifier can extract information about the presented stimuli. We find that information is...
Edge of Chaos and Prediction of Computational Performance for Neural Circuit Models (2007)
Legenstein, Robert, Maass, Wolfgang
We analyze in this article the significance of the edge of chaos for real time computations in neural microcircuit models consisting of spiking neurons and dynamic synapses. We find that the edge of...
On the classification capability of sign-constrained perceptrons. (2007)
Legenstein, Robert, Maass, Wolfgang
The perceptron (also referred to as Mc Culloch-Pitts neuron, or linear threshold gate) is commonly used as a simplified model for the discrimination and learning capability of a biological neuron....
Hauser, Helmut, Neumann, Gerhard, Ijspeert, Auke Jan, Maass, Wolfgang
Nature has developed methods for controlling the movements of organisms with many degrees of freedom which differ strongly from existing approaches for balance control in humanoid robots: Biological...
Vocabulary Patterns in Free-for-all Collaborative Indexing Systems (2007)
Wolfgang Maass, Tobias Kowatsch, Timo Münster
In collaborative indexing systems users generate a big amount of metadata by labelling web-based content. These labels are known as tags and form a shared vocabulary. In order to understand the...
Dynamic Product Interfaces: A Key Element for Ambient Shopping Environments (2007)
By embedding information technologies into tangible products a new class of products is created that we call smart products. Smart products use product information in product-centered communication...
Information bottleneck optimization and independent component extraction with spiking neurons (2007)
Stefan Klampfl, Robert Legenstein, Wolfgang Maass
The extraction of statistically independent components from high-dimensional multi-sensory input streams is assumed to be an essential component of sensory processing in the brain. Such independent...
Computational aspects of feedback in neural circuits (2007)
Wolfgang Maass, Prashant Joshi, Eduardo D. Sontag
It has previously been shown that generic cortical microcircuit models can perform complex real-time computations on continuous input streams, provided that these computations can be carried out with...
Haeusler, Stefan, Maass, Wolfgang
A major challenge for computational neuroscience is to understand the computational function of lamina-specific synaptic connection patterns in stereotypical cortical microcircuits. Previous work on...
Information bottleneck optimization and independent component extraction with spiking neurons (2006)
Klampfl, Stefan, Legenstein, Robert, Maass, Wolfgang
We show that information bottleneck optimization and extraction of independent components can be implemented with stochastic spiking neurons with refractoriness. The new learning rule that achieves...
Computational aspects of feedback in neural circuits (2006)
Wolfgang Maass, Prashant Joshi, Eduardo Sontag
It had previously been shown that generic cortical microcircuit models can perform complex real-time computations on continuous input streams, provided that these computations can be carried out with...
Computational aspects of feedback in neural circuits (2006)
Maass, Wolfgang, Joshi, Prashant, Sontag, E. D.
It had previously been shown that generic cortical microcircuit models can perform complex real-time computations on continuous input streams, provided that these computations can be carried out with...
Principles of real-time computing with feedback applied to cortical microcircuit models. (2006)
Maass, Wolfgang, Joshi, Prashant, Sontag, Eduardo D.
The network topology of neurons in the brain exhibits an abundance of feedback connections, but the computational function of these feedback connections is largely unknown. We present a computational...
Carrier Model for Semantically Annotated Information Goods (2006)
Wolfgang Maass, Behrendt Wernher, Gangemi Aldo
Sharing and trading of information goods requires efficient and effective means for search and evaluation of the content carried by the information goods. The hurdle to overcome is the information...
Towards an Infrastructure for Semantically Annotated Physical Products (2006)
Wolfgang Maass, Andreas Filler
Small-scale wireless communication technologies allow for situated consumer-product communication during buying decision making. We present the status of a generic model and implementation of...
Trading semantically enhanced digital products in electronic markets (2006)
Wolfgang Maass, Wernher Behrendt
Digital products constitute a growing class of economic goods that are increasingly traded via digital networks. In distributed digital networks, it is required that digital products adapt to...
Book review of "Imitation of life: How biology is inspiring computing" by Nancy Forbes (2006)
This book surveys a fairly large number of research areas where biology has provided inspiration for the design of novel computational models and algorithms: artificial neural networks, evolutionary...
Principles of real-time computing with feedback applied to cortical microcircuit models (2006)
Wolfgang Maass, Prashant Joshi, Eduardo D. Sontag
What happens if one allows feedback from trained readouts? Figure 1: Expanding the “liquid computing model ” of [3] by allowing feedback from trained linear readouts. The circuit itself is a...
Haeusler, Stefan, Maass, Wolfgang
A major challenge for computational neuroscience is to understand the computational function of lamina-specific synaptic connection patterns in stereotypical cortical microcircuits. Previous work on...
Principles of real-time computing with feedback applied to cortical microcircuit models (2006)
Wolfgang Maass, Prashant Joshi, Eduardo D. Sontag
models
Towards an Infrastructure for Semantically Annotated Physical Products (2006)
Wolfgang Maass, Andreas Filler
Abstract: Small-scale wireless communication technologies allow for situated consumer-product communication during buying decision making. We present the status of a generic model and implementation...
Haeusler, Stefan, Maass, Wolfgang
A major challenge for computational neuroscience is to understand the computational function of lamina-specific synaptic connection patterns in stereotypical cortical microcircuits. Previous work on...
Auer, Peter, Burgsteiner, Harald, Maass, Wolfgang
One may argue that the simplest type of neural networks beyond a single perceptron is an array of several perceptrons in parallel. We refer to such circuits as parallel perceptrons. In spite of their...
Challenges and directions in knowledge asset trading (2005)
Dimitris Apostolou, Gregoris Mentzas, Andreas Abecker, Wolfgang Maass
Towards an Ontology-based Distributed Architecture for Paid Content. (2005)
Behrendt Wernher, Gangemi Aldo, Wolfgang Maass, Westenthaler Rupert
Business models on the basis of digital content require sophisticated descriptions of that content, as well as service-oriented carrier architectures that allow to negotiate and enforce contract and...
Knowledge Networking for Collaborative Commerce (2005)
Dimitris Apostolou, Gregoris Mentzas, Wolfgang Maass
This chapter aims to describe inter-organizational knowledge networks and demonstrate how they have ushered in a new paradigm of collaborative business by forging links between internal and...
Fading memory and kernel properties of generic cortical microcircuit models (2005)
Maass, Wolfgang, Natschläger, Thomas, Markram, Henry
It is quite difficult to construct circuits of spiking neurons that can carry out complex computational tasks. On the other hand even randomly connected circuits of spiking neurons can in principle...
Maass, Wolfgang, Legenstein, Robert, Bertschinger, Nils
What makes a neural microcircuit computationally powerful? Or more precisely, which measurable quantities could explain why one microcircuit C is better suited for a particular family of...
What makes a dynamical system computationally powerful? (2005)
Legenstein, Robert, Maass, Wolfgang
We review methods for estimating the computational capability of a complex dynamical system. The main examples that we discuss are models for cortical neural microcircuits with varying degrees of...
A Criterion for the Convergence of Learning with Spike Timing Dependent Plasticity (2005)
Legenstein, Robert, Maass, Wolfgang
We investigate under what conditions a neuron can learn by experimentally supported rules for spike timing dependent plasticity (STDP) to predict the arrival times of strong “teacher inputs” to...
Theory of the computational function of microcircuit dynamics (2005)
Maass, Wolfgang, Markram, Henry
This chapter discusses models for computation in cortical microcircuits in the light of general computational theories and biological data. We first review some basic concepts from computation...
What can a Neuron Learn with Spike-Timing-Dependent Plasticity? (2005)
Legenstein, Robert, Näger, Christian, Maass, Wolfgang
Spiking neurons are very flexible computational modules, which can implement with different values of their adjustable synaptic parameters an enormous variety of different transformations F from...
Edge of chaos and prediction of computational power for neural microcircuit models (2005)
Legenstein, Robert, Maass, Wolfgang
What makes a neural microcircuit computationally powerful? Or more precisely, which measurable quantities could explain why one microcircuit C is better suited for a particular family of...
Häusler, Stefan, Maass, Wolfgang
A major challenge for computational neuroscience is to understand the computational function of lamina-specific synaptic connection patterns in stereotypical cortical microcircuits. Previous work on...
Dynamics of information and emergent computation in generic neural microcircuit models (2005)
Thomas Natschläger, Wolfgang Maass
We employ an efficient method using Bayesian and linear classifiers for analyzing the dynamics of information in high-dimensional states of generic cortical microcircuit models. It is shown that such...
Wolfgang Maass, Robert Legenstein, Nils Bertschinger
What makes a neural microcircuit computationally powerful? Or more precisely, which measurable quantities could explain why one microcircuit C is better suited for a particular family of...
Wolfgang Maass, Robert Legenstein, Nils Bertschinger
What makes a neural microcircuit computationally powerful? Or more precisely, which measurable quantities could explain why one microcircuit C is better suited for a particular family of...
Towards an Ontology-Based Distributed Architecture for Paid Content (2005)
Wernher Behrendt, Aldo Gangemi, Wolfgang Maass, Rupert Westenthaler
Abstract. Business models on the basis of digital content require sophisticated descriptions of that content, as well as service-oriented carrier architectures that allow to negotiate and enforce...
Movement generation with circuits of spiking neurons (2005)
Prashant Joshi, Wolfgang Maass
How can complex movements that take hundreds of milliseconds be gen-erated by stereotypical neural microcircuits consisting of spiking neurons with a much faster dynamics? We show that linear...
Movement generation and control with generic neural microcircuits (2004)
Joshi, Prashant, Maass, Wolfgang
Simple linear readouts from generic neural microcircuit models can be trained to generate and control basic movements, e.g., reaching with an arm to various target points. After suitable training of...
Towards provision of knowledge-intensive products and services over the Web (2004)
Dimitris Apostolou, Panos Georgolios, Bertin Klein, Jasmin Franz, Wolfgang Maass, Andreas Abecker, ...
The overall objective of the INKASS ("Intelligent Knowledge Asset Sharing and Trading") project is to develop an intelligent Internet-based marketplace of knowledge assets. At the core of our...
Florian Stahl, Marc Schäfer, Wolfgang Maass
More and more newspaper and magazineWeb sites offer paid content. However, selling information goods at a price higher than the marginal cost means finding a strategy for product or price...
Media Channels for Personal Business Media (2004)
Wolfgang Maass, Beat F. Schmid, Wolf-Christian Eickhoff
Although the world wide web is already about ten years old, it is still a dream that products and services actively serve users needs. Central market-places with product catalogue metaphors still...
Inside an Open Source Software Community: Empirical Analysis on Individual and Group Level (2004)
An established Open Source Software community (Apache Cocoon) was explored using an online questionnaire about demographic data and individual and group-related factors. Individual factors...
Innovative Bibliotheksdienste als Bestandteil von Forschungsmedien (2004)
Für einen Wissenschaftler ist die Recherche der Literatur, die Publikation seiner eigenen Ergebnisse und die Zusammenar-beit mit Kollegen trotz Neuer Medien nach wie vor eine Her-ausforderung mit...
On the computational power of recurrent circuits of spiking neurons (2004)
Maass, Wolfgang, Markram, Henry
Complex real-time computations on multi-modal time-varying input streams are carried out by generic cortical microcircuits. Obstacles for the development of adequate theoretical models that could...
Dynamics of information and emergent computation in generic neural microcircuit models (2004)
Natschläger, Thomas, Maass, Wolfgang
We employ an efficient method using Bayesian and linear classifiers for analyzing the dynamics of information in high-dimensional states of generic cortical microcircuit models. It is shown that such...
Kaske, Alexander, Maass, Wolfgang
It is shown that real-time computations on spike patterns and temporal integration of information is compatible with oscillatory background inputs to generic neural microcircuit models. A minor...
Movement generation with circuits of spiking neurons (2004)
Joshi, Prashant, Maass, Wolfgang
How can complex movements that take hundreds of milliseconds be generated by stereotypical neural microcircuits consisting of spiking neurons with a much faster dynamics? We show that linear readouts...
Coding and learning of behavioral sequences (2004)
Melamed, Ofer, Gerstner, Wulfram, Maass, Wolfgang, Tsodyks, Misha, Markram, Henry
A major challenge to understanding behavior is how the nervous system allows the learning of behavioral sequences that may occur over arbitrary time scales, ranging from milliseconds up to seconds...
Media Channels for Personal Business Media (2004)
Wolfgang Maass, Beat F. Schmid
Co-author: Wolf-Christian Eickhoff. - - - Although the world wide web is already about ten years old, it is still a dream that products and services actively serve user's needs. Central market-places...
Strategies for Selling Paid Content on Newspaper and Magazine Websites (2004)
Wolfgang Maass, Marc-Frédéric Schäfer, Florian Stahl
More and more newspapers and magazines websites offer paid content. But selling information goods at a higher price than the marginal cost means to find a strategy for product or price...
Wolfgang Maass, Florian Stahl, Marc-Frederic Schäfer
More and more newspaper and magazineWeb sites offer paid content. However, selling information goods at a price higher than the marginal cost means finding a strategy for product or price...
Movement generation and control with generic neural microcircuits (2004)
Prashant Joshi, Wolfgang Maass
Abstract. Simple linear readouts from generic neural microcircuit models can be trained to generate and control basic movements, e.g., reaching with an arm to various target points. After suitable...
Information dynamics and emergent computation in recurrent circuits of spiking neurons (2004)
Thomas Natschläger, Wolfgang Maass
We employ an efficient method using Bayesian and linear classifiers for analyzing the dynamics of information in high-dimensional states of generic cortical microcircuit models. It is shown that such...
Movement generation and control with generic neural microcircuits (2004)
Prashant Joshi, Wolfgang Maass
How can complex movements be generated and controlled by stereotypical neural circuits in motor cortex of primates? Our Answer:
Marktübersicht zu Content Management Systemen (2003)
Die Anforderungen an die Kommunikationsfähigkeit von Unternehmen sind in den vergangenen Jahren massiv angestiegen. Investor Relations, interne Kommunikation, Marktkommunikation und Kommunikation...
Towards an Information Ontology for Knowledge Asset Trading (2003)
Andreas Abecker, Dimitris Apostolou, Wolfgang Maass, Gregoris Mentzas, Christian Reuschling, S. Tabor
The INKASS Information Ontology for Knowledge Asset Trading (extended abstract) (2003)
Andreas Abecker, S. Tabor, Ralf Traphöner, Jasmin Franz, Wolfgang Maass, Wolf-Christian Eickhoff
Content Management als Teil des Kommunikations-Management (2003)
Die Anforderungen an die Kommunikationsfähigkeit von Unternehmen sind in den vergangenen Jahren massiv angestiegen. Investor Relations, interne Kommunikation, Marktkommunikation und Kommunikation...
Preface to the Special Section on Software Agents (2003)
Wolfgang Maass, Jörg P. Müller
The expectations that are associated with agent-based electronic commerce currently exceed the abilities of existing systems. While agent-based systems have been subject to scientific investigation...
On the computational power of circuits of spiking neurons (2003)
Wolfgang Maass, Thomas Natschläger, Henry Markram
It is quite difficult to construct circuits of spiking neurons that can carry out complex computational tasks. On the other hand even randomly connected circuits of spiking neurons can in principle...
Towards an Information Ontology (2003)
For Knowledge Asset, Andreas Abecker, Dimitris Apostolou, Jasmin Franz, Wolfgang Maass, Gregory Mentzas, ...
The overall objective of the INKASS ("Intelligent Knowledge Asset Sharing and Trading") project is to develop an intelligent Internet-based marketplace of knowledge assets. More...
Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons (2003)
Thomas Natschläger, Thomas Natschl Ager, Wolfgang Maass
We employ an efficient method using Bayesian and linear classifiers for analyzing the dynamics of information in high-dimensional states of generic cortical microcircuit models. It is shown that such...
Challenges and Directions in Knowledge Asset Trading (2002)
Dimitris Apostolou, Gregoris Mentzas, Andreas Abecker, Wolf-Christian Eickhoff, Wolfgang Maass, Panos Georgolios, ...
micromarkets - a distributed agent-based approach to e-markets (2002)
Wolf-Christian Eickhoff, Wolfgang Maass
To overcome constraints of current marketplaces and e-commerce sites we propose an open, flexible framework for user-centered marketplaces. This framework brings together rational user, which can...
Towards an Information Ontology for Knowledge Asset Trading (2002)
Dimitris Apostolou, Gregoris Mentzas, Andreas Abecker, Wolf-Christian Eickhoff, Wolfgang Maass, Panos Georgolios, ...
The overall objective of the INKASS ("Intelligent Knowledge Asset Sharing and Trading") project is to develop an intelligent Internet-based marketplace of knowledge assets. At the core of our...
A new approach towards vision suggested by biologically realistic neural microcircuit models (2002)
Wolfgang Maass, Wolfgang Maass, Robert Legenstein, Robert Legenstein, Henry Markram, ...
markram.html We propose an alternative paradigm for processing time-varying visual inputs, in particular for tasks involving temporal and spatial integration, which is inspired by hypotheses about...
Foundations for a circuit complexity theory of sensory processing (2001)
Robert A. Legenstein, Wolfgang Maass
We introduce total wire length as salient complexity measure for an analysis of the circuit complexity of sensory processing in biological neural systems and neuromorphic engineering. This new...
Foundations for a Circuit Complexity Theory of Sensory Processing (2001)
Robert A. Legenstein, Wolfgang Maass
We introduce total wire length as salient complexity measure for an analysis of the circuit complexity of sensory processing in biological neural systems and neuromorphic engineering. Furthermore we...
Learning In Mobile, Wolfgang Maass, Gerald Steinbauer
We discuss a task for mobile robots that requires fast learning in a completely autonomous fashion. Furthermore we describe a rather inexpensive robot \Oskar " that solves this task. Tasks of a...
Thomas Natschläger, Thomas Natschlaeger, Henry Markram, Henry Markram, Wolfgang Maass, Wolfgang Maass, ...
this article show that on the basis of this new paradigm one can now train a stereotypical recurrent network of integrate-and-fire neurons to carry out basically any real-time computation on spike...
Finding the Key to a Synapse (2001)
Thomas Natschläger, Wolfgang Maass
Experimental data have shown that synapses are heterogeneous: different synapses respond with different sequences of amplitudes of postsynaptic responses to the same spike train. Neither the role of...
Robert A. Legenstein, Wolfgang Maass
One of the most basic pattern recognition problems is whether a certain local feature occurs in some linear array to the left of some other local feature. We construct in this article circuits that...
Analog Neural Nets with Gaussian (2000)
Or Other Common, Wolfgang Maass, Eduardo D. Sontag
We consider recurrent analog neural nets where the output of each gate is subject to Gaussian noise, or any other common noise distribution that is nonzero on a sufficiently large part of the state...
Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics (2000)
Thomas Natschläger, Wolfgang Maass, E. Sontag, A. Zador
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models.
Neural systems as nonlinear filters (2000)
Wolfgang Maass, Eduardo D. Sontag
Experimental data show that biological synapses behave quite differently from the symbolic synapses in all common artificial neural network models. Biological synapses are dynamic, i.e., their...
Zugl.: Saarbrücken, Universiẗat, Diss., 1996.
On computation with pulses (1999)
We explore the computational power of formal models for computation with pulses. Such models are motivated by realistic models for biological neurons, and by related new types of VLSI (\pulse stream...
Wolfgang Maass, Eduardo D. Sontag
We consider recurrent analog neural nets where the output of each gate is subject to Gaussian noise, or any other common noise distribution that is nonzero on a large set. We show that many regular...
Joachim M. Buhmann, Wolfgang Maass, Helge Ritter, Naftali Tishby
ion Pyramid is an architecture for iterative image interpretation that has been inspired by the information processing principles of the visual cortex. We present an unsupervised learning algorithm...
Wolfgang Maass, Eduardo D. Sontag
We consider recurrent analog neural nets where the output of each gate is subject to Gaussian noise, or any other common noise distribution that is nonzero on a sufficiently large part of the state...
MOSES: an example for the modelling of spatial services by means of route description system (1998)
In the last few years in cognitive science there has been a growing interest in the connection between visual perception and natual language. The question of interest is: How ca we discuss what we...
On the effect of analog noise in discrete-time analog computations (1998)
We introduce a model for analog computation with discrete time in the presence of analog noise that is flexible enough to cover the most important concrete cases, such as noisy analog neural nets and...
Efficient learning with virtual threshold gates (1998)
Wolfgang Maass, Manfred K. Warmuth
We reduce learning simple geometric concept classes to learning disjunctions over exponentially many variables. We then apply an on-line algorithm called Winnow whose number of prediction mistakes...
Neural Systems as Nonlinear Filters (1998)
Wolfgang Maass, Eduardo D. Sontag
Experimental data show that biological synapses behave quite differently from the symbolic synapses in all common artificial neuralnetwork models. Biological synapses are dynamic, i.e., their...
On the Complexity of Computing and Learning with Networks of Spiking Neurons (1998)
Wolfgang Maass, Michael Schmitt
In a network of spiking neurons a new set of parameters becomes relevant which has no counterpart in traditional neural network models: the time that a pulse needs to travel through a connection...
Wolfgang Maass, Eduardo D. Sontag
We consider recurrent analog neural nets where the output of each gate is subject to Gaussian noise, or any other common noise distribution that is nonzero on a large set. We show that many regular...
Dynamic Stochastic Synapses as Computational Units (1998)
In most neural network models, synapses are treated as static weights that change only on the slow time scales of learning. It is well known, however, that synapses are highly dynamic, and show...
Efficient Learning with Virtual Threshold Gates (1997)
Wolfgang Maass, Manfred K. Warmuth
We reduce learning simple geometric concept classes to learning disjunctions over exponentially many variables. We then apply an on-line algorithm called Winnow whose number of prediction mistakes...
Networks of Spiking Neurons: The Third Generation of Neural Network Models (1997)
The computational power of formal models for networks of spiking neurons is compared with that of other neural network models based on McCulloch Pitts neurons (i.e. threshold gates) respectively...
On the Effect of Analog Noise in Discrete-Time Analog Computations (1997)
We introduce a model for noise-robust analog computations with discrete time that is flexible enough to cover the most important concrete cases, such as computations in noisy analog neural nets and...
On the Complexity of Learning for a Spiking Neuron (1997)
Wolfgang Maass, Michael Schmitt
) Wolfgang Maass and Michael Schmitt Abstract Spiking neurons are models for the computational units in biological neural systems where information is considered to be encoded mainly in the temporal...
On the Effect of Analog Noise in Discrete-Time Analog Computations (1997)
We introduce a model for analog computation with discrete time in the presence of analog noise that is flexible enough to cover the most important concrete cases, such as noisy analog neural nets and...
On the Complexity of Learning for Spiking Neurons with Temporal Coding (1997)
Wolfgang Maass, Michael Schmitt
Spiking neurons are models for the computational units in biological neural systems where information is considered to be encoded mainly in the temporal patterns of their activity. In a network of...
Die hier vorgestellte Arbeit hat zum Ziel, am Beispiel inkrementeller Wegbeschreibungen zu untersuchen, wie zeitlich-räumliche Beschränkungen zwischen einem Sprecher und einer räumlichen Umgebung...
Saarbrücken, Universiẗat, Diss., 1996.
Networks of Spiking Neurons: The Third Generation of Neural Network Models (1996)
The computational power of formal models for networks of spiking neurons is compared with that of other neural network models based on McCulloch Pitts neurons (i.e. threshold gates) respectively...
Peter Auer, Stephen Kwek, Wolfgang Maass, Manfred K. Warmuth
We present algorithms for learning depth two neural networks where the hidden nodes are threshold gates with constant fan-in. The transfer function of the output node might be more general: we have...
Suppose that you are required to describe a route step-by-step to somebody who does not know the environment. A major question in this context is what kind of spatial information must be integrated...
Theory and Applications of Agnostic PAC-Learning with Small Decision Trees (1995)
Peter Auer, Robert C. Holte, Wolfgang Maass
We exhibit a theoretically founded algorithm T2 for agnostic PAC-learning of decision trees of at most 2 levels, whose computation time is almost linear in the size of the training set. We evaluate...
K Intelligenz, Wissensbasierte Systeme, Leitung Prof, Dr. W. Wahlster, Wolfgang Maass
. Suppose that you are required to describe a route step-bystep to somebody who does not know the environment. A major question in this context is what kind of spatial information must be integrated...
The firing of a neuron in a biological neural system causes in certain other neurons excitatory postsynaptic potential changes (EPSP's) that are not "rectangular", but have the form of...
We show that networks of relatively realistic mathematical models for biological neurons can in principle simulate arbitrary feedforward sigmoidal neural nets in a way which has previously not been...
Lower Bounds for the Computational Power of Networks of Spiking Neurons (1995)
We investigate the computational power of a formal model for networks of spiking neurons. It is shown that simple operations on phasedifferences between spike-trains provide a very powerful...
Vapnik-Chervonenkis Dimension of Neural (1995)
Nets Peter Bartlett, Peter L. Bartlett, Wolfgang Maass
Introduction For any assignment of values to its internal parameters # (weights, thresholds, etc.) a neural network with binary outputs computes a function x (#, x) from D into 1}, where D is the...
Vapnik-Chervonenkis dimension of neural nets (1995)
Peter L. Bartlett, Wolfgang Maass
For any assignment of values to its internal parameters θ (weights, thresholds, etc.) a neural network N with binary outputs computes a function x ↦ → N (θ, x) from D into {0, 1}, where D is...
From visual perception to multimodal communication: Incremental route descriptions (1994)
In the last few years in cognitive science there has been a growing interest in the connection between visual perception and natual language. The question of interest is: How ca we discuss what we...
Efficient agnostic pac-learning with simple hypotheses (1994)
We exhibit efficient algorithms for agnostic PAC-learning with rectangles, unions of two rectangles, and unions of k intervals as hypotheses. These hypothesis classes are of some interest from the...
Produced as part of the ESPRIT Working Group in Neural and Computational Learning, (1994)
1 We investigate the computational power of a formal model for networks of spiking neurons. It is shown that simple operations on phase-di erences between spike-trains provide a very powerful...
Agnostic PAC-Learning of Functions on Analog Neural Nets (1994)
. We consider learning on multi-layer neural nets with piecewise polynomial activation functions and a fixed number k of numerical inputs. We exhibit arbitrarily large network architectures for which...
From Visual Perception to Multimodal Communication: Incremental Route Descriptions (1994)
K Intelligenz, Wissensbasierte Systeme, Leitung Prof, Dr. W. Wahlster, Multimodal Communication, Multimodal Communication, ...
In the last few years in cognitive science there has been a growing interest in the connection between visual perception and natural language. The question of interest is: How can we discuss what we...
A Comparison of the Computational Power of Sigmoid and Boolean Threshold Circuits (1994)
Wolfgang Maass, Georg Schnitger, Eduardo D. Sontag
We examine the power of constant depth circuits with sigmoid (i.e. smooth) threshold gates for computing boolean functions. It is shown that, for depth 2, constant size circuits of this type are...
Neural Nets with Superlinear VC-Dimension (1994)
Wolfgang Maass, Whose Vcdimension
It has been known for quite a while that the Vapnik-Chervonenkis dimension (VCdimension) of a feedforward neural net with linear threshold gates is at most O(w \Delta log w), where w is the total...
A comparison of the computational power of sigmoid and Boolean threshold circuits (1994)
Wolfgang Maass, Georg Schnitger, Eduardo D. Sontag
We examine the power of constant depth circuits with sigmoid (i.e. smooth) threshold gates for computing boolean functions. It is shown that, for depth 2, constant size circuits of this type are...
VITRA GUIDE: Multimodal Route Descriptions for Computer Assisted Vehicle Navigation (1993)
Wolfgang Maass, Peter Wazinski, Gerd Herzog
We present a system that generates multimodal route descriptions for computer assisted vehicle navigation. The presentation modes available in Vitra Guide are natural language, maps and perspective...
Bounds for the computational power and learning complexity of analog neural nets (1993)
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolean inputs and...
Bounds for the Computational Power and Learning Complexity of Analog Neural Nets (1993)
. It is shown that high order feedforward neural nets of constant depth with piecewise polynomial activation functions and arbitrary real weights can be simulated for boolean inputs and outputs by...
) Wolfgang Maass* Institute for Theoretical Computer Science Technische Universitaet Graz Klosterwiesgasse 32/2 A-8010 Graz, Austria e-mail: maass@igi.tu-graz.ac.at October 23, 1992 Abstract It is...
On-line learning of rectangles (1992)
This paper solves the following there an d-algorithm for on-line angles ~ {Ui,ai + 1,...,bi} over
Constraint-basierte Verarbeitung graphischen Wissens (1991)
Bei der Entwicklung neuerer inteligenter Benutzerschnittstellen, die wie im Beispiel des multimodalen Präsentationssystems WIP natürliche Sprache und Graphik kombinieren, spielt insbesondere die...
On the complexity of learning from counterexamples and membership queries (1990)
We show that for any concept class C the number of equiv-alence and membership queries that are needed to learn C is bounded from below by R(VC-dimension(C)). Fur-thermore we show that the required...
Approximation schemes for covering and packing problems in image processing and VLSI (1985)
Dorit S. Hochbaum, Wolfgang Maass
Abstract. A unified and powerful approach is presented for devising polynomial approximation schemes for many strongly NP-complete problems. Such schemes consist of families of approximation...
Berlin, Akad. d. Pädag. Wiss. d. DDR, Diss. A, 1984 (Nicht f.d. Austausch).
Thesis--Johann Wolfgang Goethe-Universität, Frankfurt am Main.
Die Kirchensteuerpflicht des Ehegatten in gemischter Ehe nach preussischem Recht. (1914)
Leipzig, Jur. Diss., 1914.
Computational Aspects of Feedback in Neural Circuits
Maass, Wolfgang, Joshi, Prashant, Sontag, Eduardo D
It has previously been shown that generic cortical microcircuit models can perform complex real-time computations on continuous input streams, provided that these computations can be carried out with...
Legenstein, Robert, Pecevski, Dejan, Maass, Wolfgang
Reward-modulated spike-timing-dependent plasticity (STDP) has recently emerged as a candidate for a learning rule that could explain how behaviorally relevant adaptive changes in complex networks of...
Agnostic PAC-Learning of Functions on Analog Neural Nets
We consider learning on multi-layer neural nets with piecewise polynomial activation functions and a fixed number k of analog inputs. We exhibit arbitrarily powerful network architectures for which...
Efficient Learning with Virtual Threshold Gates
Wolfgang Maass, Manfred K. Warmuth
this paper is to reduce learning particular concept classes to the case of learning disjunctions or more generally linear threshold functions over exponentially many variables. Then the algorithm...