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  1. Easy and efficient spike-based Machine Learning with mlGeNN

    Article • April 2023, ACM (Association for Computing Machinery)

    Professor Thomas Nowotny

  2. Event-based dataset for classification and pose estimation

    Article • March 2022, ACM (Association for Computing Machinery)

    Professor Thomas Nowotny

  3. Efficient GPU training of LSNNs using eProp

    Article • March 2022, ACM (Association for Computing Machinery)

    Professor Thomas Nowotny

  4. Brian2GeNN: accelerating spiking neural network simulations with graphics hardware

    Article • Scientific Reports, January 2020, Springer Science + Business Media

    Professor Thomas Nowotny

  5. The Emergence of a Stable Neuronal Ensemble from a Wider Pool of Activated Neurons in the Dorsal Medial Prefrontal Cortex during Appetitive Learning in Mice

    Article • Journal of Neuroscience, November 2019, Society for Neuroscience

    Professor Thomas Nowotny

  6. An unsupervised neuromorphic clustering algorithm

    Article • Biological Cybernetics, April 2019, Springer Science + Business Media

    Professor Thomas Nowotny, Michael Schmuker

  7. Correction to: Computing reward prediction errors and learning valence in the insect mushroom body

    Article • BMC Neuroscience, January 2019, Springer Science + Business Media

    Professor Thomas Nowotny

  8. Our GPU based simulator framework is faster than previous solutions

    Article • Frontiers in Neuroscience, December 2018, Frontiers

    Professor Thomas Nowotny

  9. The sense of smell appears to work better with mixtures of odourants than with single chemicals

    Article • PLoS Computational Biology, December 2018, PLOS

    Professor Thomas Nowotny

  10. Brian2GeNN: a system for accelerating a large variety of spiking neural networks with graphics hardware

    Article • October 2018, Cold Spring Harbor Laboratory Press

    Professor Thomas Nowotny

  11. An inexpensive flying robot design for embodied robotics research

    Article • May 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Thomas Nowotny

  12. A Biophysical Model of the Early Olfactory System of Honeybees

    Article • January 2017, Springer Science + Business Media

    Professor Thomas Nowotny

  13. Olfactory experience shapes the evaluation of odour similarity in ants: a behavioural and computational analysis

    Article • Proceedings of the Royal Society B Biological Sciences, August 2016, Royal Society Publishing

    Professor Thomas Nowotny, Martin Giurfa

  14. Artificial neural network approaches for fluorescence lifetime imaging techniques

    Article • Optics Letters, May 2016, Optical Society of America (OSA)

    Professor Thomas Nowotny

  15. Burst Firing Enhances Neural Output Correlation

    Article • Frontiers in Computational Neuroscience, May 2016, Frontiers

    Professor Thomas Nowotny

  16. Classifying continuous, real-time e-nose sensor data using a bio-inspired spiking network modelled on the insect olfactory system

    Article • Bioinspiration & Biomimetics, February 2016, Institute of Physics Publishing

    Professor Thomas Nowotny, Michael Schmuker

  17. Comparing Neuromorphic Solutions in Action: Implementing a Bio-Inspired Solution to a Benchmark Classification Task on Three Parallel-Computing Platforms

    Article • Frontiers in Neuroscience, January 2016, Frontiers

    Michael Schmuker, Professor Thomas Nowotny

  18. GeNN: a code generation framework for accelerated brain simulations

    Article • Scientific Reports, January 2016, Nature

    Professor Thomas Nowotny

  19. GPU acceleration of time-domain fluorescence lifetime imaging

    Article • Journal of Biomedical Optics, January 2016, SPIE

    Professor Thomas Nowotny

  20. Easy-to-use GPU acceleration of neural network simulations with GeNN

    Article • Frontiers in Neuroinformatics, January 2016, Frontiers

    Professor Thomas Nowotny

  21. Simulating a biologically accurate model of the honeybee olfactory system on the GPU

    Article • Frontiers in Neuroinformatics, January 2016, Frontiers

    Professor Thomas Nowotny

  22. Input-Modulation as an Alternative to Conventional Learning Strategies

    Article • January 2016, Springer Science + Business Media

    Professor Thomas Nowotny

  23. Voltage Clamp Technique

    Article • January 2015, Springer Science + Business Media

    Professor Thomas Nowotny

  24. Patch Clamp Technique

    Article • January 2015, Springer Science + Business Media

    Professor Thomas Nowotny

  25. Dynamic Clamp Technique

    Article • January 2015, Springer Science + Business Media

    Professor Thomas Nowotny

  26. Gap Junctions in Small Networks

    Article • January 2015, Springer Science + Business Media

    Professor Thomas Nowotny

  27. Dynamic Clamp

    Article • January 2015, Springer Science + Business Media

    Professor Thomas Nowotny

  28. Testing fruit fly olfactory receptors for technical applications

    Article • Bioinspiration & Biomimetics, October 2014, Institute of Physics Publishing

    Professor Thomas Nowotny

  29. Challenges of Correct Validation

    Article • Frontiers in Robotics and AI, September 2014, Frontiers

    Professor Thomas Nowotny

  30. Classifying chemical sensor data using GPU-accelerated bio-mimetic neuronal networks based on the insect olfactory system

    Article • BMC Neuroscience, July 2014, Springer Science + Business Media

    Michael Schmuker, Professor Thomas Nowotny

  31. SpineML and Brian 2.0 interfaces for using GPU enhanced Neuronal Networks (GeNN)

    Article • BMC Neuroscience, July 2014, Springer Science + Business Media

    Professor Thomas Nowotny

  32. Simulating spiking neural networks on massively parallel graphical processing units using a code generation approach with GeNN

    Article • BMC Neuroscience, July 2014, Springer Science + Business Media

    Professor Thomas Nowotny

  33. Influence of Wiring Cost on the Large-Scale Architecture of Human Cortical Connectivity

    Article • PLoS Computational Biology, April 2014, PLOS

    Professor Thomas Nowotny

  34. Stimulus-onset asynchrony can aid odor segregation

    Article • Flavour, April 2014, Springer Science + Business Media

    Professor Thomas Nowotny

  35. Feature selection in Enose applications

    Article • Flavour, April 2014, Springer Science + Business Media

    Professor Thomas Nowotny

  36. A modelling framework for the olfactory system of the honeybee using GeNN (GPU enhanced Neuronal Network simulation environment)

    Article • Flavour, April 2014, Springer Science + Business Media

    Professor Thomas Nowotny

  37. Feature Selection for Chemical Sensor Arrays Using Mutual Information

    Article • PLoS ONE, March 2014, PLOS

    Professor Thomas Nowotny, A/Prof. Joseph Lizier

  38. Erratum to “Optimal feature selection for classifying a large set of chemicals using metal oxide sensors” [Sens. Actuators B Chem. 187 (2013) 471–480]

    Article • Sensors and Actuators B Chemical, February 2014, Elsevier

    Professor Thomas Nowotny

  39. Voltage-Clamp Technique

    Article • January 2014, Springer Science + Business Media

    Professor Thomas Nowotny

  40. Patch Clamp Technique

    Article • January 2014, Springer Science + Business Media

    Professor Thomas Nowotny

  41. Gap Junctions in Small Networks

    Article • January 2014, Springer Science + Business Media

    Professor Thomas Nowotny

  42. Dynamic Clamp Technique

    Article • January 2014, Springer Science + Business Media

    Professor Thomas Nowotny

  43. Machine Learning for Automatic Prediction of the Quality of Electrophysiological Recordings

    Article • PLoS ONE, December 2013, PLOS

    Professor Thomas Nowotny

  44. Data-driven honeybee antennal lobe model suggests how stimulus-onset asynchrony can aid odour segregation

    Article • Brain Research, November 2013, Elsevier

    Dr Paul Szyszka, Professor Thomas Nowotny

  45. Optimal feature selection for classifying a large set of chemicals using metal oxide sensors

    Article • Sensors and Actuators B Chemical, October 2013, Elsevier

    Professor Thomas Nowotny

  46. Gain Control Network Conditions in Early Sensory Coding

    Article • PLoS Computational Biology, July 2013, PLOS

    Professor Thomas Nowotny

  47. A numerical renormalisation group method for the analysis of critical spreading activity in spiking neural networks

    Article • BMC Neuroscience, July 2013, Springer Science + Business Media

    Professor Thomas Nowotny

  48. The Green Brain Project – Developing a Neuromimetic Robotic Honeybee

    Article • January 2013, Springer Science + Business Media

    Professor Thomas Nowotny

  49. Bioinspired solutions to the challenges of chemical sensing

    Article • January 2013

    Professor Thomas Nowotny

  50. Correction: Probing the Dynamics of Identified Neurons with a Data-Driven Modeling Approach

    Article • PLoS ONE, October 2012, PLOS

    Professor Thomas Nowotny

  51. Single electrode dynamic clamp with StdpC

    Article • Journal of Neuroscience Methods, October 2012, Elsevier

    Professor Thomas Nowotny

  52. Inhibition in Multiclass Classification

    Article • Neural Computation, September 2012, The MIT Press

    Professor Thomas Nowotny

  53. Multi-Neuronal Refractory Period Adapts Centrally Generated Behaviour to Reward

    Article • PLoS ONE, July 2012, PLOS

    Professor Thomas Nowotny

  54. Benchmarking Drosophilareceptor neurons for technical applications

    Article • BMC Neuroscience, July 2012, Springer Science + Business Media

    Professor Thomas Nowotny

  55. On the equivalence of Hebbian learning and the SVM formalism

    Article • March 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Thomas Nowotny

  56. Transient dynamics between displaced fixed points: An alternate nonlinear dynamical framework for olfaction

    Article • Brain Research, January 2012, Elsevier

    Professor Thomas Nowotny

  57. Modelling the signal delivered by a population of first-order neurons in a moth olfactory system

    Article • Brain Research, January 2012, Elsevier

    Professor Thomas Nowotny

  58. Dynamic Clamp

    Article • January 2012, Springer Science + Business Media

    Professor Thomas Nowotny

  59. Bio-inspired solutions to the challenges of chemical sensing

    Article • Frontiers in Neuroengineering, January 2012, Frontiers

    Professor Thomas Nowotny

  60. Interaction of cellular and network mechanisms for efficient pheromone coding in moths

    Article • Proceedings of the National Academy of Sciences, November 2011, Proceedings of the National Academy of Sciences

    Professor Thomas Nowotny

  61. Transient dynamics between displaced fixed points: an alternate nonlinear dynamical framework for olfaction

    Article • BMC Neuroscience, July 2011, Springer Science + Business Media

    Professor Thomas Nowotny

  62. The effect of intrinsic subthreshold oscillations on the spontaneous dynamics of a ring network with distance-dependent delays

    Article • BMC Neuroscience, July 2011, Springer Science + Business Media

    Professor Thomas Nowotny

  63. Flexible neuronal network simulation framework using code generation for NVidia® CUDA™

    Article • BMC Neuroscience, July 2011, Springer Science + Business Media

    Professor Thomas Nowotny

  64. Dynamic observer: ion channel measurement beyond voltage clamp

    Article • BMC Neuroscience, July 2011, Springer Science + Business Media

    Professor Thomas Nowotny

  65. Coarse-grained statistics for attributing criticality to heterogeneous neural networks

    Article • BMC Neuroscience, July 2011, Springer Science + Business Media

    Professor Thomas Nowotny

  66. Multiscale Model of an Inhibitory Network Shows Optimal Properties near Bifurcation

    Article • Physical Review Letters, June 2011, American Physical Society (APS)

    Professor Thomas Nowotny

  67. Normalization for Sparse Encoding of Odors by a Wide-Field Interneuron

    Article • Science, May 2011, American Association for the Advancement of Science

    Professor Thomas Nowotny

  68. Dynamic clamp with StdpC software

    Article • Nature Protocols, March 2011, Springer Science + Business Media

    Professor Thomas Nowotny

  69. Competition-Based Model of Pheromone Component Ratio Detection in the Moth

    Article • PLoS ONE, February 2011, PLOS

    Professor Thomas Nowotny

  70. Pacemaker and Network Mechanisms of Neural Rhythm Generation

    Article • February 2011, IntechOpen

    Professor Thomas Nowotny

  71. Criteria for robustness of heteroclinic cycles in neural microcircuits

    Article • The Journal of Mathematical Neuroscience, January 2011, Springer Science + Business Media

    Professor Thomas Nowotny

  72. Consistency and Diversity of Spike Dynamics in the Neurons of Bed Nucleus of Stria Terminalis of the Rat: A Dynamic Clamp Study

    Article • PLoS ONE, August 2010, PLOS

    Professor Thomas Nowotny

  73. Parallel implementation of a spiking neuronal network model of unsupervised olfactory learning on NVidia® CUDA™

    Article • July 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Thomas Nowotny

  74. A new notion of criticality: Studies in the pheromone system of the moth

    Article • Frontiers in Neuroscience, January 2010, Frontiers

    Professor Thomas Nowotny

  75. Erratum (“Fast and Robust Learning by Reinforcement Signals: Explorations in the Insect Brain” by Ramón Huerta and Thomas Nowotny, Neural Computation, August 2009, Vol. 21, No. 8: 2123–2151)

    Article • Neural Computation, September 2009, The MIT Press

    Professor Thomas Nowotny

  76. Fast and Robust Learning by Reinforcement Signals: Explorations in the Insect Brain

    Article • Neural Computation, August 2009, The MIT Press

    Professor Thomas Nowotny

  77. Moving beyond convergence in the pheromone system of the moth

    Article • BMC Neuroscience, July 2009, Springer Science + Business Media

    Professor Thomas Nowotny

  78. Divergence alone cannot guarantee stable sparse activity patterns if connections are dense

    Article • BMC Neuroscience, July 2009, Springer Science + Business Media

    Professor Thomas Nowotny

  79. Homeostasis versus neuronal variability: Models and experiments in crustaceans

    Article • Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology, June 2009, Elsevier

    Professor Thomas Nowotny

  80. “Sloppy Engineering” and the Olfactory System of Insects

    Article • January 2009, Springer Science + Business Media

    Professor Thomas Nowotny

  81. A neuronal network model for the detection of binary odor mixtures

    Article • Frontiers in Systems Neuroscience, January 2009, Frontiers

    Professor Thomas Nowotny

  82. Neuronal synchrony: Peculiarity and generality

    Article • Chaos An Interdisciplinary Journal of Nonlinear Science, September 2008, American Institute of Physics

    Professor Thomas Nowotny

  83. Erratum: Dynamical Origin of Independent Spiking and Bursting Activity in Neural Microcircuits [Phys. Rev. Lett. 98 , 128106 (2007)]

    Article • Physical Review Letters, August 2008, American Physical Society (APS)

    Professor Thomas Nowotny

  84. Pacemaker and network mechanisms of rhythm generation: Cooperation and competition

    Article • Journal of Theoretical Biology, August 2008, Elsevier

    Professor Thomas Nowotny

  85. Probing the Dynamics of Identified Neurons with a Data-Driven Modeling Approach

    Article • PLoS ONE, July 2008, PLOS

    Professor Thomas Nowotny

  86. Models Wagging the Dog: Are Circuits Constructed with Disparate Parameters?

    Article • Neural Computation, August 2007, The MIT Press

    Professor Thomas Nowotny

  87. Dynamical Origin of Independent Spiking and Bursting Activity in Neural Microcircuits

    Article • Physical Review Letters, March 2007, American Physical Society (APS)

    Professor Thomas Nowotny

  88. StdpC: A modern dynamic clamp

    Article • Journal of Neuroscience Methods, December 2006, Elsevier

    Professor Thomas Nowotny

  89. Spike-Timing-Dependent Plasticity of Inhibitory Synapses in the Entorhinal Cortex

    Article • Journal of Neurophysiology, August 2006, American Physiological Society

    Professor Thomas Nowotny

  90. Self-organization in the olfactory system: one shot odor recognition in insects

    Article • Biological Cybernetics, November 2005, Springer Science + Business Media

    Professor Thomas Nowotny

  91. Learning Classification in the Olfactory System of Insects

    Article • Neural Computation, August 2004, The MIT Press

    Professor Thomas Nowotny

  92. Explaining synchrony in feed-forward networks:

    Article • Biological Cybernetics, December 2003, Springer Science + Business Media

    Professor Thomas Nowotny

  93. Explaining synchrony in feed-forward networks:

    Article • Biological Cybernetics, October 2003, Springer Science + Business Media

    Professor Thomas Nowotny

  94. Spatial representation of temporal information through spike-timing-dependent plasticity

    Article • July 2003, American Physical Society (APS)

    Professor Thomas Nowotny

  95. Article • Journal of Computational Neuroscience, January 2003, Springer Science + Business Media

    Professor Thomas Nowotny

  96. Phase diagram of the random field Ising model on the Bethe lattice

    Article • December 2001, American Physical Society (APS)

    Professor Thomas Nowotny

  97. Convolution of multifractals and the local magnetization in a random-field Ising chain

    Article • Journal of Physics A General Physics, September 2001, Institute of Physics Publishing

    Professor Thomas Nowotny

  98. Orbits and phase transitions in the multifractal spectrum

    Article • Journal of Physics A General Physics, December 2000, Institute of Physics Publishing

    Professor Thomas Nowotny

  99. Pregeometric concepts on graphs and cellular networks as possible models of space-time at the Planck-scale

    Article • Chaos Solitons & Fractals, February 1999, Elsevier

    Professor Thomas Nowotny

  100. Defining the concept of a dimension for a network

    Article • Journal of Physics A General Physics, March 1998, Institute of Physics Publishing

    Professor Thomas Nowotny