Journal Publications

2024

Stentiford, R., Knight, J.C., Nowotny, T., Philippides, A. and Graham, P., 2024. Estimating orientation in natural scenes: A spiking neural network model of the insect central complex. PLOS Computational Biology, 20(8), p.e1011913. 10.1371/journal.pcbi.1011913

Max, K., Kriener, L., Pineda Garcia, G., Nowotny, T., Jaras, I., Senn, W. and Petrovici, M.A., 2024. Learning efficient backprojections across cortical hierarchies in real time. Nature Machine Intelligence, pp.1-12. https://doi.org/10.1038/s42256-024-00845-3

Jesusanmi, O.O., Amin, A.A., Domcsek, N., Knight, J.C., Philippides, A., Nowotny, T. and Graham, P., 2024. Investigating visual navigation using spiking neural network models of the insect mushroom bodies. Frontiers in Physiology, 15, p.1379977. 10.3389/fphys.2024.1379977

Barrie, R., Haalck, L., Risse, B., Nowotny, T., Graham, P. and Buehlmann, C., 2024. Trail using ants follow idiosyncratic routes in complex landscapes. Learning & Behavior, 52(1), pp.105-113. 10.3758/s13420-023-00615-y

Steinbeck, F., Kagioulis, E., Dewar, A., Philippides, A., Nowotny, T. and Graham, P., 2024. Familiarity-taxis: a bilateral approach to view-based snapshot navigation. Adaptive Behavior, p.10597123231221312. 10.1177/10597123231221312

2023

Ogawa, Y., Nicholas, S., Thyselius, M., Leibbrandt, R., Nowotny, T., Knight, J.C. and Nordström, K., 2023. Descending neurons of the hoverfly respond to pursuits of artificial targets. Current Biology, 33(20), pp.4392-4404. 10.1016/j.cub.2023.08.091

Scarano, F., Deivarajan Suresh, M., Tiraboschi, E., Cabirol, A., Nouvian, M., Nowotny, T., & Haase, A. (2023). Geosmin suppresses defensive behaviour and elicits unusual neural responses in honey bees. Scientific Reports, 13(1), 3851. doi: 10.1038/s41598-023-30796-5

Aimone, J. B., Awile, O., Diesmann, M., Knight, J. C., Nowotny, T., & Schürmann, F. (2023). Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute. Frontiers in Neuroinformatics, 17, 26. doi: 10.3389/fninf.2023.1157418

2022

James P Turner, James C Knight, Ajay Subramanian, Thomas Nowotny, mlGeNN: accelerating SNN inference using GPU-enabled neural networks. Neuromorphic Computing and Engineering, doi: 10.1088/2634-4386/ac5ac5

Fabian Steinbeck, Thomas Nowotny, Andy Philippides and Paul Graham, Production of adaptive movement patterns via an insect inspired spiking neural network central pattern generator. Front. Comput. Neurosci. (2022) doi: 10.3389/fncom.2022.948973

Nowotny, T., van Albada, S. J., Fellous, J. M., Haas, J. S., Jolivet, R. B., Metzner, C., & Sharpee, T. (2022). Advances in Computational Neuroscience. Frontiers in Computational Neuroscience, 15, 125. doi: 10.3389/fncom.2021.82489

2021

Mario Pannunzi, Thomas Nowotny (2021) Non-synaptic interactions between olfactory receptor neurons, a possible key feature of odor processing in flies. PLOS Computational Biology 17(12): e1009583. doi: 10.1371/journal.pcbi.1009583

James P Turner, Thomas Nowotny. Arpra: An Arbitrary Precision Range Analysis Library. Front Neuroinform (2021) doi: 10.3389/fninf.2021.632729

James E. M. Bennett, Andrew Philippides, Thomas Nowotny, Learning with reinforcement prediction errors in a model of the Drosophila mushroom body. Nature Communications 12: 2569. doi: 10.1038/s41467-021-22592-4

Naoki Kogo, Felix B. Kern, Thomas Nowotny, Raymond van Ee, Richard van Wezel and Takeshi Aihara (2021) Dynamics of a Mutual Inhibition Circuit between Pyramidal Neurons Compared to Human Perceptual Competition. J Neurosci 41(6): 1251-1264. doi: 10.1523/JNEUROSCI.2503-20.2020

J. C. Knight and T. Nowotny (2021) Larger GPU-accelerated brain simulations with procedural connectivity. Nat Comput Sci 1(2): 136-42. doi: 10.1038/s43588-020-00022-7, free full text

J. C. Knight, A. Komissarov, T. Nowotny (2021) PyGeNN: A Python Library for GPU-Enhanced Neural Networks. Frontiers in Neuroinformatics 15: 10. doi: 10.3389/fninf.2021.659005

2020    

M. Stimberg, D. F. M. Goodman, T. Nowotny Brian2GeNN: accelerating spiking neural network simulations with graphics hardware. Scientific Reports 10: 410, doi: 10.1038/s41598-019-54957-7

2019    

M. Pannunzi, T. Nowotny (2019) Odor Stimuli: Not Just Chemical Identity. Frontiers in Physiology 10: 1428, doi: 10.3389/fphys.2019.01428

L. S. Brebner, J. J. Ziminski, G. Margetts-Smith, M. C. Sieburg, H. M. Reeve, T. Nowotny, J. Hirrlinger, T. G. Heintz, L. Lagnado, S. Kato, K. Kobayashi, L. A. Ramsey, C. N. Hall, H. S. Crombag, E. Koya (2019) 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. Journal of Neuroscience 1496-19, doi: 10.1523/JNEUROSCI.1496-19.2019

A. Diamond, M. Schmuker, T. Nowotny (2019) An unsupervised neuromorphic clustering algorithm, Biological Cybernetics (2019) doi: 10.1007/s00422-019-00797-7

2018    

H. K. Chan, F. Hersperger, E. Marachlian, B. H. Smith, F. Locatelli, P. Szyszka, T. Nowotny (2018) Odorant mixtures elicit less variable and faster responses than pure odorants. PLoS Comp Biol 14(12):e1006536. doi: 10.1371/journal.pcbi.1006536

J. C. Knight, T. Nowotny (2018) GPUs outperform current HPC and neuromorphic solutions in terms of speed and energy when simulating a highly-connected cortical model. Front Neurosci 12:941. doi: 10.3389/fnins.2018.00941

I. Blundell, R. Brette, T. A. Cleland, T. G. Close, D. Coca, A. P. Davison, S. Diaz Pier, C. Fernandez Musoles, P. Gleeson, D. F. M. Goodman, M. Hines, M. W. Hopkins, P. Kumbhar, D. R. Lester, B. Marin, A. Morrison, E. Müller, T. Nowotny, A. Peyser, D. Plotnikov, P. Richmond, A. Rowley, B. Rumpe, M. Stimberg, A. B. Stokes, A. Tomkins, G. Trensch, M. Woodman, J. M. Eppler (2018) Code generation in computational neuroscience: a review of tools and techniques. Front Neuroinformatics 12:68. doi: 10.3389/fninf.2018.00068

2016    

M. Perez, T. Nowotny, P. d'Ettorre, M. Giurfa (2016). Olfactory experience shapes the evaluation of odour similarity in ants: a behavioural and computational analysis, Proc R Soc B 283: 20160551. doi: 10.1098/rspb.2016.0551

G. Wu, T. Nowotny, Y. Zhang, H.-Q. Yu, D. Day-Uei Li (2016). Artificial neural network approaches for fluorescence lifetime imaging techniques. Optics Letters 41(11):2561-2564. doi: 10.1364/OL.41.002561

H. K. Chan, D.-P. Yang, C. Zhou, T. Nowotny (2016) Burst firing enhances neural output correlation. Frontiers in Computational Neuroscience 10:00042. doi: 10.3389/fncom.2016.00042

A. Diamond, M. Schmuker, A. Z. Berna, S. Trowell, T. Nowotny (2016). Classifying continuous, real-time e-nose sensor data using a bio-inspired spiking network modelled on the insect olfactory system. Bioinspiration & Biomimetics 11(2):026002. doi: 10.1088/1748-3190/11/2/026002

E. Yavuz, J. Turner and T. Nowotny (2016). GeNN: a code generation framework for accelerated brain simulations. Scientific Reports 6:18854. doi: 10.1038/srep18854

G. Wu, T. Nowotny, Y. Chen, and D. D.-U. Li (2016). GPU acceleration of time-domain fluorescence lifetime imaging. Journal of Biomedical Optics 21(1), 017001. doi: 10.1117/1.JBO.21.1.017001

2015    

A. Diamond, T. Nowotny and M. Schmuker (2015). Comparing neuromorphic solutions in action: implementing a bio-inspired solution to a benchmark classification task on three parallel-computing platforms. Front. Neurosci. 9:491. doi: 10.3389/fnins.2015.00491

2014    

T. Nowotny, M. de Bruyne, A. Z. Berna, C. G. Warr and S. C. Trowell. Drosophila olfactory receptors as classifiers for volatiles from disparate real world applications. Bioinspir. Biomim. 9: 046007 (2014) DOI: 10.1088/1748-3182/9/4/046007

T. Nowotny. Two challenges of correct validation in pattern recognition. Front. Robotics & AI 1: 5 (2014) DOI: 10.3389/frobt.2014.00005

X.R. Wang, J.T. Lizier, T. Nowotny, A.Z. Berna, M. Prokopenko, S.C. Trowell. Feature Selection for Chemical Sensor Arrays Using Mutual Information. PLoS ONE (2014) DOI: 10.1371/journal.pone.0089840

D. Samu, A.K. Seth, T. Nowotny, Influence of Wiring Cost on the Large-Scale Architecture of Human Cortical Connectivity. PLoS Comput. Biol. 10(4): e1003557 (2014) DOI: 10.1371/journal.pcbi.1003557

2013    

T. Nowotny, J.-P. Rospars, D. Martinez, S. Elbanna, S. Anton. Machine learning for automatic prediction of the quality of electrophysiological recordings. PLoS ONE (2013) DOI: 10.1371/journal.pone.0080838

Eduardo Serrano, T. Nowotny, Rafael Levi, Brian H. Smith, Ramon Huerta, Gain control network conditions in early sensory coding, PLoS Computational Biology 9:e1003133 (2013) DOI: 10.1371/journal.pcbi.1003133

T. Nowotny, Jacob S. Stierle, C. Giovanni Galizia, Paul Szyszka, Data-driven honeybee antennal lobe model suggests how stimulus-onset asynchrony can aid odour segregation, Brain Research, 1536: 119-134 (2013) DOI: 10.1016/j.brainres.2013.05.038

T. Nowotny, A. Z. Berna, R. Binions, S. Trowell. Optimal feature selection for classifying a large set of chemicals using metal oxide sensors. Sensors and Actuators B 187:471-480 (2013) DOI: 10.1016/j.snb.2013.01.088

2012    

D. Samu, V. Marra, I. Kemenes, M. Crossley, G. Kemenes, K. Staras, T. Nowotny. Single electrode dynamic clamp with StdpC. J. Neurosci. Meth. 211(1): 11-21 (2012) DOI: 10.1016/j.jneumeth.2012.08.003

C.A. Harris, C.L. Buckley, T. Nowotny , P. Passaro, A.K. Seth, G. Kemenes, M. O'Shea. Multi-Neuronal Refractory Period Adapts Centrally Generated Behaviour to Reward. PLoS ONE 7(7): e42493 (2012) DOI: 10.1371/journal.pone.0042493

R. Huerta, S. Vembu, J.M. Amigó, T. Nowotny , C. Elkan. Inhibition in Multiclass Classification. Neural Computation 24(9):2473-2507 (2012) DOI: 10.1162/NECO_a_00321

A. Grémiaux, T. Nowotny, D. Martinez, P. Lucas and J.-P. Rospars, Modelling the Signal Delivered by a Population of First-Order Neurons in a Moth Olfactory System. Brain Res. 1434:123-35 (2012) DOI: 10.1016/j.brainres.2011.09.035

2011    

P. Ashwin, Ö. Karabacak and T. Nowotny , Criteria for robustness of heteroclinic cycles in neural microcircuits, J. Math. Neurosci. 1:13 DOI: 10.1186/2190-8567-1-13 (2011).

H. Belmabrouk, T. Nowotny , J.-P. Rospars and D. Martinez, Interaction of cellular and network mechanisms for efficient pheromone coding in moths, Proc. Natl. Acad. Sci USA 108(49):19790-19795, DOI: 10.1073/pnas.1112367108 (2011)

C. L. Buckley and T. Nowotny . Transient Dynamics between Displaced Fixed Points: An Alternate Nonlinear Dynamical Framework for Olfaction. Brain Research, 1434: 62-72, DOI: 10.1016/j.brainres.2011.07.032 (2011).

T. Nowotny, Mehmet K. Muezzinoglu and R. Huerta, Bio-mimetic classification on modern parallel hardware: Realizations in NVidia CUDA and OpenMP, Int J Innov Comput 7(7A): 3825-3838 (2011).

C. L. Buckley and T. Nowotny, Multi-scale model of an inhibitory network shows optimal properties near bifurcation, Phys. Rev. Lett. 106: 238109 DOI: 10.1103/PhysRevLett.106.238109 (2011).

M. Papadopoulou, S. Cassenaer, T. Nowotny, G. Laurent. Normalization for Sparse Encoding of Odors by a Wide-Field Interneuron. Science, 332(6030):721-725 DOI: 10.1126/science.1201835 (2011).

I. Kemenes, V. Marra, M. Crossley, D. Samu, K. Staras, G. Kemenes and T. Nowotny. Dynamic clamp with StdpC software. Nature Prot. 6(3):405-417 DOI: 10.1038/nprot.2010.200 (2011).

A. Zavada, C. L. Buckley, D. Martinez, J.-P. Rospars, T. Nowotny. Competition-Based Model of Pheromone Component Ratio Detection in the Moth. PLoS ONE 6 (2): e16308. doi: 10.1371/journal.pone.0016308 (2011).

2010    

A. Szücs, F. Berton, T. Nowotny , P. Sanna, W. Francesconi, Consistency and Diversity of Spike Dynamics in the Neurons of Bed Nucleus of Stria Terminalis of the Rat: A Dynamic Clamp Study. PLoS ONE 5(8): e11920. doi:10.1371/journal.pone.0011920 (2010)

2009    

R. Huerta and T. Nowotny , Fast and robust learning by reinforcement signals: explorations in the insect brain Neural Comput. 21 (8): 2123-2151 DOI: 10.1162/neco.2009.03-08-733 (2009)

T. Nowotny , R. Huerta, and M. I. Rabinovich Neuronal synchrony: Peculiarity and generality, Chaos 18, 037119 (2008), doi:10.1063/1.2949925

T. Nowotny, R. Levi and A. I. Selverston Probing the Dynamics of Identified Neurons with a Data-Driven Modeling Approach, PLoS ONE 3(7): e2627. doi:10.1371/journal.pone.0002627 (2008)
abstract

T. Nowotny and M. Requardt Emergent Properties in Structurally Dynamic Disordered Cellular Networks, J Cell Automata 2(4), 273-289 (2007)
abstract

J. S. Haas, T. Nowotny, and H. D. I Abarbanel Spike-timing dependent plasticity of inhibitory synapses in the entorhinal cortex, J Neurophysiol 96(6):3305-13 (2006)
abstract

T. Nowotny, A. Szücs, R. D. Pinto, and A. I. Selverston StdpC: A modern Dynamic Clamp, J Neurosci Meth 158(2):287-299 (2006), doi: 10.1016/j.jneumeth.2006.05.034 (2006)
abstract

T. Nowotny, R. Huerta, H. D. I. Abarbanel, and M. I. Rabinovich Self-organization in the olfactory system: One shot odor recognition in insects, Biol Cyber, 93 (6): 436-446 (2005), doi: 10.1007/s00422-005-0019-7
abstract

R. Huerta, T. Nowotny, Marta Garcia-Sanchez, H. D. I. Abarbanel, and M. I. Rabinovich Learning classification in the olfactory system of insects, 16 (8):1601-1640, DOI: 10.1162/089976604774201613

T. Nowotny and R. Huerta Explaining synchrony in feedforward networks: Are McCulloch-Pitts neurons good enough? Biol Cyber 89 (4): 237-241 (2003), doi:10.1007/s00422-003-0431-9
abstract

T. Nowotny, V. P. Zhigulin, A. I. Selverston, H. D. I. Abarbanel, and M. I. Rabinovich Enhancement of synchronization in a hybrid neural circuit by spike timing dependent plasticity, J Neurosci 23 (30):9776-9785 (2003)

T. Nowotny, H. Patzlaff and U. Behn, Phase diagram of the random field Ising model on the Bethe lattice, Phys Rev E 65 (2002) 016127, DOI: 10.1103/PhysRevE.65.016127 | cond-mat/0106074

T. Nowotny and U. Behn, Convolution of multifractals and the local magnetization in a random field Ising chain, J Phys A 34 (2001) 8057-8079 , DOI: 10.1088/0305-4470/34/39/308
abstract|ps |cond-mat/0102328

T. Nowotny, H. Patzlaff and U. Behn, Orbits and phase transitions in the multifractal spectrum, J Phys A 34 (2001) 1-23, DOI: 10.1088/0305-4470/34/1/301
abstract|ps |cond-mat/9905164

T. Nowotny and M. Requardt, Pregeometric Concepts on Graphs and Cellular Networks as Possible Models of Space-Time at the Planck-Scale, Chaos Soliton Fract 10 (1999) 469-481 (invited paper), DOI: 10.1016/S0960-0779(98)00091-5
abstract | ps | hep-th/9801199

T. Nowotny and M. Requardt, Dimension Theory of Graphs and Networks, J Phys A, 31 (1998) 2447-2463 , DOI: 10.1088/0305-4470/31/10/018
abstract | ps | hep-th/9707082

2023   

Knight, J. C., & Nowotny, T. (2023, April). Easy and efficient spike-based Machine Learning with mlGeNN. In Neuro-Inspired Computational Elements Conference (pp. 115-120). doi: 10.1145/3584954.3585001

2022   

JC Knight, T Nowotny. Efficient GPU training of LSNNs using eProp. Neuro-Inspired Computational Elements Conference, pp 8-10 (2022) doi: 10.1145/3517343.3517346

J Turner, J Pedersen, J Conradt, T Nowotny. Event-based dataset for classification and pose estimation. Neuro-Inspired Computational Elements Conference, pp 101-103 (2022) doi: 10.1145/3517343.3517378

2020   

Steinbeck F, Graham P, Nowotny T, Philippides A. Can Small Scale Search Behaviours Enhance Large-Scale Navigation? Living Machines 2020. Editors: Vouloutsi, V., Mura, A., Tauber, F., Speck, T., Prescott, T. J., Verschure, P. F. M. J.. Lecture Notes in Computer Science. Springer Nature, Cham. 12413. doi: 10.1007/978-3-030-64313-3_32

Kagioulis E, Philippides A, Graham P, Knight J, Nowotny T. Insect Inspired View Based Navigation Exploiting Temporal Information Living Machines 2020. Editors: Vouloutsi, V., Mura, A., Tauber, F., Speck, T., Prescott, T. J., Verschure, P. F. M. J.. Lecture Notes in Computer Science. Springer Nature, Cham. 12413: 204-216. doi: 10.1007/978-3-030-64313-3_20

Meyer S, Nowotny T, Graham P, Dewar A, Philippides A. Snapshot Navigation In The Wavelet Domain Living Machines 2020, Freiburg, Germany. Editors: Vouloutsi, V., Tauber, F., Speck, T., Prescott, T. J., Verschure, P. F. M. J.. Lecture Notes in Computer Science. Springer Nature, Cham. 12413: 245-256 doi: 10.1007/978-3-030-64313-3_24

Dewar A, Graham P, Nowotny T, Philippides A. Exploring the robustness of insect-inspired visual navigation for flying robots ALIFE 2020: The 2020 Conference on Artificial Life, 13 Jul 2020 - 18 Jul 2020. Artificial Life Conference Proceedings. 32: 668-677. doi: 10.1162/isal_a_00307

2019   

Knight JC, Sakhapov D, Domcsek N, Dewar ADM, Graham P, Nowotny T, Philippides A. Insect-inspired visual navigation on-board an autonomous robot: Real-world routes encoded in a single layer network Proceedings of the 2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges, ALIFE 2019. 60-67. doi: 10.1162/isal_a_00141

2017   

H. K. Chan, T. Nowotny (2017) A Biophysical Model of the Early Olfactory System of Honeybees. In: Liu D., Xie S., Li Y., Zhao D., El-Alfy ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science, vol 10637. Springer, Cham. doi: 10.1007/978-3-319-70093-9_68

C. Sabo, E. Yavuz, A. Cope, K. Gurney, E. Vasilaki, T. Nowotny , J. A. R. Marshall (2017) An inexpensive flying robot design for embodied robotics research. Neural Networks (IJCNN), 2017 International Joint Conference on, p. 4171-4178, IEEE. doi: 10.1109/IJCNN.2017.7966383

2016   

E. Yavuz, T. Nowotny, Input-Modulation as an Alternative to Conventional Learning Strategies. Artificial Neural Networks and Machine Learning -- ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part I, 54-62 Springer (2016), doi: 10.1007/978-3-319-44778-0_7

2012   

T. Nowotny and Ramon Huerta, On the Equivalence of Hebbian Learning and the SVM Formalism, Information Sciences and Systems (CISS), 2012 46th Annual Conference on DOI: 10.1109/CISS.2012.6310939, (2012), pp 1-4. IEEE Conference Publications CISS, Princeton (2012)

T. Nowotny , Amalia Berna, Russell Binions and Stephen Trowell. Optimal Feature Selection for Classifying a Large Set of Chemicals Using Metal Oxide Sensors. IMCS Conference, Nürnberg (2012), doi: 10.5162/IMCS2012/P1.0.21.

2010   

T. Nowotny , Parallel Implementation of a Spiking Neuronal Network Model of Unsupervised Olfactory Learning on NVidia^® CUDA^TM, WCCI 2010 IEEE World Congress on Computational Intelligence , 3238-3245.

2008   

M. Muezzinoglu, A. Vergara, R. Huerta, T. Nowotny , N. Rulkov, H. Abarbanel, A. Selverston, M. Rabinovich, Artificial Olfactory Brain for Mixture Identification NIPS 2008.

2015   

E. Yavuz, P. Maul, T. Nowotny, Spiking neural network model of reinforcement learning in the honeybee implemented on the GPU, BMC Neuroscience 16(Suppl 1):P181 (2015) DOI: 10.1186/1471-2202-16-S1-P181

J. P. Turner, T. Nowotny, Estimating numerical error in neural network simulations on Graphics Processing Units, BMC Neuroscience 16(Suppl 1):P182 (2015) DOI: 10.1186/1471-2202-16-S1-P182

T. Nowotny, J. P. Turner, E. Yavuz, More flexibility for code generation with GeNN v2.1, BMC Neuroscience 16(Suppl 1):P291 (2015) DOI: 10.1186/1471-2202-16-S1-P291

2014   

E. Yavuz, J. P. Turner, T. Nowotny , Simulating spiking neural networks on massively parallel graphical processing units using a code generation approach with GeNN, BMC Neuroscience 15(Suppl 1):O1 (2014) DOI: 10.1186/1471-2202-15-S1-O1

A. Diamond, M. Schmuker, A. Z. Berna, S. Trowell, T. Nowotny, Classifying chemical sensor data using GPU-accelerated bio-mimetic neuronal networks based on the insect olfactory system, BMC Neuroscience 15(Suppl 1):P77 (2014) DOI: 10.1186/1471-2202-15-S1-P77

T. Nowotny, A.J. Cope, E. Yavuz, M. Stimberg, D.F.M. Goodman, J. Marshall, K. Gurney, SpineML and Brian 2.0 interfaces for using GPU enhanced Neuronal Networks (GeNN), BMC Neuroscience 15(Suppl 1):P148 (2014) DOI: 10.1186/1471-2202-15-S1-P148

2013   

T. G. Corcoran, A. O. Philippides, T. Nowotny, A numerical renormalisation group method for the analysis of critical spreading activity in spiking neural networks, BMC Neuroscience 14(Suppl 1):P297 (2013) DOI: 10.1186/1471-2202-14-S1-P297

T. Nowotny, C. G. Galizia, P. Szyszka, Data-driven honeybee antennal lobe model demonstrates how stimulus-onset asynchrony can aid odor segregation, BMC Neuroscience 14(Suppl 1):P378 (2013) DOI: 10.1186/1471-2202-14-S1-P378

2012   

T. Nowotny, S. Trowell, M. de Bruyne, Benchmarking Drosophila receptor neurons for technical applications, BMC Neuroscience 13(Suppl 1):P155 (2012) DOI: 10.1186/1471-2202-13-S1-P155

2011   

T. G. Corcoran, A. Philippides, T. Nowotny, Coarse-grained statistics for attributing criticality to heterogeneous neural networks, BMC Neuroscience 12(Suppl 1):P235 (2011) DOI: 10.1186/1471-2202-12-S1-P235

F. Baroni, T. Nowotny, The effect of intrinsic subthreshold oscillations on the spontaneous dynamics of a ring network with distance-dependent delays, BMC Neuroscience 12(Suppl 1):P236 (2011) DOI: 10.1186/1471-2202-12-S1-P236

C. L. Buckley, T. Nowotny, Transient dynamics between displaced fixed points: an alternate nonlinear dynamical framework for olfaction, BMC Neuroscience 12(Suppl 1):P237 (2011) DOI: 10.1186/1471-2202-12-S1-P237

D. Drix, T. Nowotny, Dynamic observer: ion channel measurement beyond voltage clamp, BMC Neuroscience 12(Suppl 1):P238 (2011) DOI: 10.1186/1471-2202-12-S1-P238

T. Nowotny, Flexible neuronal network simulation framework using code generation for NVidia^® CUDA^TM, BMC Neuroscience 12(Suppl 1):P239 (2011) DOI: 10.1186/1471-2202-16-S1-P291

2009   

C. L. Buckley and T. Nowotny, Moving beyond convergence in the pheromone system of the moth, BMC Neuroscience 10(Suppl 1):P187 (2009) DOI: 10.1186/1471-2202-10-S1-P187

T. Nowotny, Divergence alone cannot guarantee stable sparse activity patterns if connections are dense, BMC Neuroscience 10(Suppl 1):P188 (2009) DOI: 10.1186/1471-2202-10-S1-P188

2012   

T. Nowotny and P. Varona, Dynamic Clamp (2012) Encyclopedia of Nanotechnology , Bhushan, Bharat (Ed.), Springer, online first

2011   

T. Nowotny and M. I. Rabinovich, "Pacemaker and Network Mechanisms of Neural Rhythm Generation", in Modern Pacemakers - Present and Future, Mithilesh Kumar Das (Ed.) InTech, pp. 405-425 (2011), ISBN 978-953-307-214-2

2009   

T. Nowotny , "Sloppy engineering" and the olfactory system of insects, in Biologically Inspired Signal Processing for Chemical Sensing, Marco, Santiago; Gutierrez, Agustin (Eds.) Studies in Computational Intelligence, Vol. 188 , Springer, pp. 3-32 (2009), ISBN 978-3-642-00175-8

2001   

T. Nowotny, Phase transitions and multifractal properties of random field Ising models (Dissertation)
abstract|ps|pdf

T. Nowotny, Untersuchung geometrischer Strukturen in zellularen Netzwerken und Graphen im Hinblick auf eine Beschreibung der Feinstruktur der physikalischen Raumzeit auf der Planckskala, Diplomarbeit (german)
ps (300dpi) | ps (600dpi)

1998   

T. Nowotny, Unpublished notes on numerical simulations of cellular networks (draft version, slightly incomplete)(german)
ps