Search Results - "Natschlager, Thomas"

Real-time computation at the edge of chaos in recurrent neural networks by Bertschinger, Nils, Natschläger, Thomas

“…Depending on the connectivity, recurrent networks of simple computational units can show very different types of dynamics, ranging from totally ordered to…”
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Generalized online transfer learning for climate control in residential buildings by Grubinger, Thomas, Chasparis, Georgios C., Natschläger, Thomas

“…This paper presents an online transfer learning framework for improving temperature predictions in residential buildings. In transfer learning, prediction…”
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On Stability of Distance Measures for Event Sequences Induced by Level-Crossing Sampling by Moser, Bernhard A., Natschlager, Thomas

“…While Shannon's paradigm of sampling is based on equidistant points in time, triggered by a clock, level-crossing sampling schemes are based on the evaluation…”
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Real-time computing without stable states: a new framework for neural computation based on perturbations by Maass, Wolfgang, Natschläger, Thomas, Markram, Henry

“…A key challenge for neural modeling is to explain how a continuous stream of multimodal input from a rapidly changing environment can be processed by…”
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Spiking neurons and the induction of finite state machines by Natschläger, Thomas, Maass, Wolfgang

“…We discuss in this short survey article some current mathematical models from neurophysiology for the computational units of biological neural systems: neurons…”
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Simulation of networks of spiking neurons: a review of tools and strategies by Brette, Romain, Rudolph, Michelle, Carnevale, Ted, Hines, Michael, Beeman, David, Bower, James M, Diesmann, Markus, Morrison, Abigail, Goodman, Philip H, Harris, Jr, Frederick C, Zirpe, Milind, Natschläger, Thomas, Pecevski, Dejan, Ermentrout, Bard, Djurfeldt, Mikael, Lansner, Anders, Rochel, Olivier, Vieville, Thierry, Muller, Eilif, Davison, Andrew P, El Boustani, Sami, Destexhe, Alain

“…We review different aspects of the simulation of spiking neural networks. We start by reviewing the different types of simulation strategies and algorithms…”
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Online transfer learning for climate control in residential buildings by Grubinger, Thomas, Chasparis, Georgios C., Natschlager, Thomas

“…This paper presents an online transfer learning framework for improving temperature predictions in residential buildings. In transfer learning, prediction…”
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Networks of spiking neurons can emulate arbitrary Hopfield nets in temporal coding by Maass, Wolfgang, Natschläger, Thomas

“…A theoretical model for analogue computation in networks of spiking neurons with temporal coding is introduced and tested through simulations in GENESIS. It…”
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Supervisory system identification for bilinear systems with application to thermal dynamics in buildings by Chasparis, Georgios C., Natschläger, Thomas

“…When system identification is performed online and predictions of the system response are requested often (as in model predictive control formulations), the…”
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PCSIM: A Parallel Simulation Environment for Neural Circuits Fully Integrated with Python by Pecevski, Dejan

“…The Parallel Circuit SIMulator (PCSIM) is a software package for simulation of neural circuits. It is primarily designed for distributed simulation of large…”
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Pattern analysis with spiking neurons using delay coding by Natschläger, Thomas, Ruf, Berthold

“…Spiking neurons, receiving temporally encoded inputs, can compute radial basis functions (RBFs) by storing the relevant information in their delays. These…”
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Adaptive heat pump and battery storage demand side energy management by Sobieczky, Florian, Lettner, Christian, Natschläger, Thomas, Traxler, Patrick

“…An adaptive linear model predictive control strategy is introduced for the problem of demand side energy management, involving a photovoltaic device, a…”
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Workflow for Criticality Assessment Applied in Biopharmaceutical Process Validation Stage 1 by Zahel, Thomas, Marschall, Lukas, Abad, Sandra, Vasilieva, Elena, Maurer, Daniel, Mueller, Eric M, Murphy, Patrick, Natschläger, Thomas, Brocard, Cécile, Reinisch, Daniela, Sagmeister, Patrick, Herwig, Christoph

“…Identification of critical process parameters that impact product quality is a central task during regulatory requested process validation. Commonly, this is…”
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Dynamics of information and emergent computation in generic neural microcircuit models by Natschläger, Thomas, Maass, Wolfgang

“…Numerous methods have already been developed to estimate the information contained in single spike trains. In this article we explore efficient methods for…”
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Exact VC-dimension of Boolean monomials by Natschläger, Thomas, Schmitt, Michael

“…We show that the Vapnik-Chervonenkis dimension of Boolean monomials over n variables is at most n for all n ⩾ 2. It follows that the VC-dimension is determined…”
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Robust unsupervised domain adaptation for neural networks via moment alignment by Zellinger, Werner, Moser, Bernhard A., Grubinger, Thomas, Lughofer, Edwin, Natschläger, Thomas, Saminger-Platz, Susanne

“…•A novel metric-based regularization for domain-invariant training of neural networks.•Some theoretical properties of the proposed moment-based metric are…”
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Multi-Domain Transfer Component Analysis for Domain Generalization by Grubinger, Thomas, Birlutiu, Adriana, Schöner, Holger, Natschläger, Thomas, Heskes, Tom

“…This paper presents the domain generalization methods Multi-Domain Transfer Component Analysis (Multi-TCA) and Multi-Domain Semi-Supervised Transfer Component…”
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Additive Partial Least Squares for efficient modelling of independent variance sources demonstrated on practical case studies by Luoma, Pekka, Natschläger, Thomas, Malli, Birgit, Pawliczek, Marcin, Brandstetter, Markus

“…A model recalibration method based on additive Partial Least Squares (PLS) regression is generalized for multi-adjustment scenarios of independent variance…”
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Multi-source transfer learning of time series in cyclical manufacturing by Zellinger, Werner, Grubinger, Thomas, Zwick, Michael, Lughofer, Edwin, Schöner, Holger, Natschläger, Thomas, Saminger-Platz, Susanne

“…This paper describes a new transfer learning method for modeling sensor time series following multiple different distributions, e.g. originating from multiple…”
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A Demand-Response Framework in Balance Groups through Direct Battery-Storage Control by Chasparis, Georgios C., Pichler, Mario, Natschlager, Thomas

“…We consider the Austrian model for the liberalized electricity market which is based on the Balance-Group (BG) organization. According to this model, all…”
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