Thomas Natschläger

Rudolf Ramler, Thomas Natschläger: Applying Heuristic Approaches for Predicting Defect-Prone Software Components. EUROCAST (1) 2011: 384-391

Rudolf Ramler, Claus Klammer, Thomas Natschläger: The usual suspects: a case study on delivered defects per developer. ESEM 2010

Rudolf Ramler, Stefan Larndorfer, Thomas Natschläger: What Software Repositories Should Be Mined for Defect Predictors?. EUROMICRO-SEAA 2009: 181-187

Rudolf Ramler, Klaus Wolfmaier, Erwin Stauder, Felix Kossak, Thomas Natschläger: Key Questions in Building Defect Prediction Models in Practice. PROFES 2009: 14-27

Romain Brette, Michelle Rudolph, Ted Carnevale, Michael L. Hines, David Beeman, James M. Bower, Markus Diesmann, Abigail Morrison, Philip H. Goodman, Frederick C. Harris Jr., Milind Zirpe, Thomas Natschläger, Dejan Pecevski, Bard Ermentrout, Mikael Djurfeldt, Anders Lansner, Olivier Rochel, Thierry Viéville, Eilif Mueller, Andrew P. Davison, Sami El Boustani, Alain Destexhe: Simulation of networks of spiking neurons: A review of tools and strategies. Journal of Computational Neuroscience 23(3): 349-398 (2007)

Rudolf Ramler, Klaus Wolfmaier, Thomas Natschläger: Observing Distributions in Size Metrics: Experience from Analyzing Large Software Systems. COMPSAC (2) 2007: 299-304

Thomas Natschläger, Wolfgang Maass: Dynamics of information and emergent computation in generic neural microcircuit models. Neural Networks 18(10): 1301-1308 (2005)

Nils Bertschinger, Thomas Natschläger: Real-Time Computation at the Edge of Chaos in Recurrent Neural Networks. Neural Computation 16(7): 1413-1436 (2004)

Nils Bertschinger, Thomas Natschläger, Robert A. Legenstein: At the Edge of Chaos: Real-time Computations and Self-Organized Criticality in Recurrent Neural Networks. NIPS 2004

Thomas Natschläger, Wolfgang Maass: Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons. NIPS 2003

Wolfgang Maass, Thomas Natschläger, Henry Markram: Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations. Neural Computation 14(11): 2531-2560 (2002)

Thomas Natschläger, Wolfgang Maass: Spiking neurons and the induction of finite state machines. Theor. Comput. Sci. 287(1): 251-265 (2002)

Wolfgang Maass, Thomas Natschläger, Henry Markram: A Model for Real-Time Computation in Generic Neural Microcircuits. NIPS 2002: 213-220

Thomas Natschläger, Wolfgang Maass: Computing the Optimally Fitted Spike Train for a Synapse. Neural Computation 13(11): 2477-2494 (2001)

Wolfgang Maass, Thomas Natschläger: A Model for Fast Analog Computation Based on Unreliable Synapses. Neural Computation 12(7): 1679-1704 (2000)

Thomas Natschläger, Wolfgang Maass: Finding the Key to a Synapse. NIPS 2000: 138-144

Thomas Natschläger, Wolfgang Maass, Eduardo D. Sontag, Anthony M. Zador: Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics. NIPS 2000: 145-151

Thomas Natschläger, Berthold Ruf: Pattern analysis with spiking neurons using delay coding. Neurocomputing 26-27: 463-469 (1999)

Thomas Natschläger, Wolfgang Maass: Fast analog computation in networks of spiking neurons using unreliable synapses. ESANN 1999: 417-422

Thomas Natschläger, Michael Schmitt: Exact VC-Dimension of Boolean Monomials. Inf. Process. Lett. 59(1): 19-20 (1996)

Thomas Natschläger, Michael Schmitt: Erratum: Exact VC-Dimension of Boolean Monomials. Inf. Process. Lett. 60(2): 107 (1996)