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Publications

[Papers (peer reviewed)] [Preprint publications] [Book chapters] [Patent] [Conference talks] [Conference abstracts] [Theses]

Selected publications

  • Schmuker M, Pfeil T, Nawrot MP (2014) A neuromorphic network for generic multivariate data classification. Proceedings of the National Academy of Science, 111(6): 2081-2086 [abstract] [PDF] (Open Access)
  • Farkhooi F, Froese A, Müller E, Menzel R, Nawrot MP (2013) Cellular Adaptation Facilitates Sparse and Reliable Coding in Sensory Pathways. PLoS Computational Biology 9: e1003251, doi:10.1371/journal.pcbi.1003251 [abstract] [PDF]
  • Meyer A, Galizia G, Nawrot MP (2013) Local interneurons and projection neurons in the antennal lobe from a spiking point of view. Journal of Neurophysiology 110: 2465-2474 doi:10.1152/jn.00363.2013 [abstract] [PDF]
  • Schmuker M, Yamagata N, Nawrot MP and Menzel R (2011). Parallel representation of stimulus identity and intensity in a dual pathway model inspired by the olfactory system of the honeybee. Frontiers in Neuroengineering  4:17. doi: 10.3389/fneng.2011.00017 [abstract] [PDF]
  • Strube-Bloss M *, Nawrot MP *, Menzel R (2011) Mushroom Body Output Neurons Encode Odor-Reward Associations. Journal of Neuroscience 31(8):3129-3140 [abstract] [PDF] [supplement] [press] [press_] [press__] [press_____]
  • Rickert J, Riehle A, Aertsen A, Rotter S, Nawrot MP (2009) Dynamic encoding of movement direction in motor cortical neurons. Journal of Neuroscience 29: 13870-13882 [abstract] [PDF] [press]

* Authors contributed equally to this work.

 

Papers (peer reviewed)

  • Pamir E *, Szyszka P *, Scheiner R, Nawrot MP (2014) Rapid learning dynamics in individual honeybees during classical conditioning. Frontiers in Behavioral Neuroscience 8:313, doi: 10.3389/fnbeh.2014.00313 [abstract] [Preprint]
  • Soelter J, Schumacher J, Spors H, Schmuker M (2014) Automatic Segmentation of Odour Maps in the Mouse Olfactory Bulb using regularized Non-negative Matrix Factorization. Neuroimage 98:279-288. [abstract] [PDF] (Open Access)
  • Schmuker M, Pfeil T, Nawrot MP (2014) A neuromorphic network for generic multivariate data classification. Proceedings of the National Academy of Science, 111(6): 2081-2086 [abstract] [PDF] (Open Access)
  • Gabler S, Soelter J, Hussain T, Sachse S and Schmuker M (2013) Physicochemical vs. vibrational descriptors for prediction of odor receptor responses. Molecular Informatics, 32(9-10):855-865. [abstract] [PDF]
  • Ruhrmair U, Solter J, Sehnke F, Xiaolin Xu, Mahmoud A, Stoyanova V, Dror G, Schmidhuber J, Burleson W, Devadas S (2013) PUF Modeling Attacks on Simulated and Silicon Data. Information Forensics and Security.IEEE Transactions on , vol.8, no.11, pp.1876,1891, doi: 10.1109/TIFS.2013.2279798
  • Kasap B, Schmuker M (2013) Improving odor classification through self-organized lateral inhibition in a spiking olfaction-inspired network. 6th International IEEE EMBS Conference on Neural Engineering, San Diego, USA, Nov 5-8, 2013 [PDF]
  • Helgadottir LI, Haenicke J, Landgraf T, Rojas R, Nawrot MP (2013) Conditioned behavior in a robot controlled by a spiking neural network. 6th International IEEE EMBS Conference on Neural Engineering, San Diego, USA, Nov 5-8, p. 891 - 894, doi: 10.1109/NER.2013.6696078  [Preprint] [video]
  • Farkhooi F, Froese A, Müller E, Menzel R, Nawrot MP (2013) Cellular Adaptation Facilitates Sparse and Reliable Coding in Sensory Pathways. PLoS Computational Biology 9: e1003251; doi:10.1371/journal.pcbi.1003251 [abstract] [PDF]
  • Meyer A, Galizia G, Nawrot MP (2013) Local interneurons and projection neurons in the antennal lobe from a spiking point of view. Journal of Neurophysiology 110: 2465-2474 doi:10.1152/jn.00363.2013 [abstract] [PDF]
  • Rost T, Ramachandran H, Nawrot MP, Chicca E (2013) A neuromorphic approach to auditory pattern recognition in cricket phonotaxis. 21st European Conference on Cricuit Theory and Design, Sep 8-12, 2013 [abstract] [PDF]
  • Häusler C *, Susemihl A *, Nawrot MP (2013) Natural image sequences constrain dynamic receptive fields and imply a sparse code. Brain Research [abstract] [PDF]
  • Landgraf T, Wild B, Ludwig T, Nowak P, Helgadottir L, Daumenlang B, Breinlinger P, Nawrot MP, Rojas R (2013) NeuroCopter: Neuromorphic Computation of 6D Ego-Motion of a Quadcopter. Biomimetic and Biohybrid Systems. Lecture Notes in Computer Science 8064:143-153 [abstract] [PDF]
  • Auffarth B (2013) Understanding smell — The olfactory stimulus problem Neuroscience and Biobehavioral Reviews(2013),doi.org/10.1016/j.neubiorev.2013.06.009 [abstract] [PDF]
  • Pfeil T, Grübl A, Jeltsch S, Müller E, Müller P, Petrovici MA, Schmuker M, Brüderle D, Schemmel J, Meier K (2013). Six networks on a universal neuromorphic computing substrate. Frontiers in Neuromorphic Engineering 7:11. doi: 10.3389/fnins.2013.00011 [abstract]  [PDF] [press] [press (in german)]
  • Meckenhäuser G, Hennig RM, Nawrot MP (2013) Critical song features for auditory pattern recognition in crickets. PLoS ONE 8(2): e55349. doi:10.1371/journal.pone.0055349 [Full text] [PDF]
  • Brill M, Rosenbaum T, Reus I, Kleineidam C, Nawrot M, Rössler W (2013) Parallel processing via a dual olfactory pathway in the honeybee. Journal of Neuroscience February 6, 2013 33(6):2443–2456 [PDF][press]
  • Nawrot MP (2012) Dynamics of sensory processing in the dual olfactory pathway of the honeybee. Apidologie, Epub: Mar 22, 2012; doi:10.1007/s13592-012-0131-3 [PDF]
  • Berger D, Pazienti A, Flores FJ, Nawrot MP, Maldonado PE, Grün S (2012) Viewing strategy of Cebus monkeys during free exploration of natural images. Brain Research 1434: 34-46, Jan 24, 2012; doi:10.1016/j.brainres.2011.10.013 [Full Text] [PDF]
  • Schmuker M, Yamagata N, Nawrot MP and Menzel R (2011). Parallel representation of stimulus identity and intensity in a dual pathway model inspired by the olfactory system of the honeybee. Frontiers in Neuroengineering 4: 17 doi: 10.3389/fneng.2011.00017 [abstract] [PDF]
  • Pamir E, Chakroborty NK, Stollhoff N, Gehring KB, Antemann V, Morgenstern L, Felsenberg J, Eisenhardt D, Menzel R, Nawrot MP (2011) Average group behavior does not represent individual behavior in classical conditioning of the honeybee. Learning and Memory 18: 733-741 [PDF]
  • Fucke T, Suchanek D, Nawrot MP, Seamari Y, Heck D, Aertsen A, Boucsein C (2011) Stereotypical spatio-temporal activity patterns during slow-wave activity in the neocortex. Journal of Neurophysiology 106:3035-3044, Epub: Aug 17, 2011; doi:10.1152/jn.00811.2010 [abstract] [PDF]
  • Farkhooi F, Müller E, Nawrot MP (2011) Adaptation reduces variability of the neuronal population code. Physical Review E 83: 050905 [abstract] [PDF] [supplement]
  • Häusler C, Nawrot MP and Schmuker M (2011): A spiking neuron classifier network with a deep architecture inspired by the olfactory system of the honeybee. Proceedings of the 5th International IEEE EMBS Conference on Neural Engineering, Cancun, Mexico, April 27 - May 1, 2011:198-202 [PDF]
  • Eschbach C, Vogt K, Schmuker M, Gerber B (2011) The Similarity between Odors and Their Binary Mixtures in Drosophila. Chemical Senses 36(7):613-621. [Abstract] [Full Text] [PDF]
  • Boucsein C*, Nawrot MP*, Schnepel P, Aertsen A (2011) Beyond the cortical column: abundance and physiology of horizontal connections imply a strong role for inputs from the surround. Frontiers in Neuroscience 5:32. doi: 10.3389/fnins.2011.00032 [Full Text] [PDF] [video]
  • Strube-Bloss M *, Nawrot MP *, Menzel R (2011) Mushroom Body Output Neurons Encode Odor-Reward Associations. Journal of Neuroscience 31(8):3129-3140 [abstract] [PDF] [supplement]
  • Chen Y, Mishra D, Schmitt L, Schmuker M, Gerber B (2011) A Behavioral Odor Similarity "Space" in Larval Drosophila. Chemical Senses 36(3):237-249 [abstract] [PDF]
  • Rickert J, Riehle A, Aertsen A, Rotter S, Nawrot MP (2009) Dynamic encoding of movement direction in motor cortical neurons. Journal of Neuroscience 29: 13870-13882 [abstract] [PDF]
  • Yamagata N, Schmuker M, Szyszka P, Mizunami M and Menzel R (2009) Differential odor processing in two olfactory pathways in the honeybee. Front. Syst. Neurosci. 3:16. doi:10.3389/neuro.06.016.2009 [abstract] [PDF]
  • Nawrot MP, Schnepel P, Aertsen A and Boucsein C (2009) Precisely timed signal transmission in neocortical networks with reliable intermediate-range projections. Frontiers in Neural Circuits 3:1. doi:10.3389/neuro.04.001.2009 [Full Text] [PDF] [video]
  • Farkhooi F, Strube M, Nawrot MP (2009) Serial correlation in neural spike trains: experimental evidence, stochastic modelling, and single neuron variability. Physical Review E 79: 021905 [PDF]
  • Krofczik S, Menzel R and Nawrot MP (2009) Rapid odor processing in the honeybee antennal lobe network. Frontiers in Computational Neuroscience 2:9. doi:10.3389/neuro.10.009.2008 [Full Text] [PDF]
  • Herz AVM, Meier R, Nawrot MP, Schiegel W, Zito T (2008) Cellular and Systems Neurophysiology in the Age of Global Neuroinformatics. Neural Networks 21: 1070-1075 [PDF]
  • Meier R, Egert U, Aertsen A, Nawrot MP (2008). FIND - A Unified Framework for Neural Data Analysis. Neural Networks 21:1085-1093 [PDF]
  • Nawrot MP, Boucsein C, Rodriguez-Molina V, Riehle A, Aertsen A, Rotter S (2008)
    Measurement of variability dynamics in cortical spike trains. J Neurosci Meth 169: 374-390 (doi:10.1016/j.jneumeth.2007.10.013) [PDF]
  • Schmuker M, Weidert M and Menzel R (2008) A network model for learing-induced changes in odor representation in the antennal lobe, in Proceedings of the second french conference on Computational Neuroscience, Marseille, Laurent U. Perrinet and Emmanuel Daucé (ed.). [PDF]
  • Nawrot MP, Boucsein C, Rodriguez-Molina V, Aertsen A, Grün S, Rotter S (2007)
    Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro. Neurocomputing 70: 1717-1722 (doi:10.1016/j.neucom.2006.10.101) [PDF]

Preprint publications

  • Häusler C, Susemihl A, Nawrot MP, Opper M (2013) Temporal Autoencoding Improves Generative Models of Time Series. [stat.ML] [abstract] [PDF]
  • Meyer A, Galizia G, Nawrot MP(2012) Odor response features of projection neurons and local interneurons in the honeybee antennal lobe. [q-bio.NC] [abstract] [PDF]
  • Farkhooi F, Froese A, Muller E, Menzel R, Nawrot MP (2012) Cellular Adaptation Accounts for the Sparse and Reliable Sensory Stimulus Representation. arXiv: 1210.7165v1 [q-bio.NC] [abstract] [PDF]
  • Häusler C, Susemihl A (2012) Temporal Autoencoding Restricted Boltzmann Machine. arXiv: 1210.8353 [stat.ML] [abstract] [PDF]
  • Pfeil T, Grübl A, Jeltsch S, Müller E, Müller P, Petrovici M, Schmuker M, Brüderle D, Schemmel J, Meier K (2012) Six networks on a universal neuromorphic computing substrate. arXiv:1210.7083 [q-bio.NC] [abstract] [PDF]
  • Farkhooi F, Muller E, Nawrot MP (2010) Adaptation Reduces Variability of the Neuronal Population Code. arXiv:1007.3490 [physics.bio-ph] [abstract] [PDF]
  • Farkhooi F, Muller E, Nawrot MP (2010) Sequential Sparsening by Successive Adaptation in Neural Populations. arXiv:1007.2345v1 [physics.bio-ph] [abstract] [PDF]
  • Nawrot MP, Krofczik S, Farkhooi F, Menzel R (2010) Fast dynamics of odor rate coding in the insect antennal lobe. arXiv:1101.0271v1 [physics.bio-ph] [abstract] [PDF]

Book chapters

  • Nawrot MP (2011) Neuroinformatik: Theorie Neuronaler Informationsverarbeitung. In: Speerspitzen, Heidelberger Akademie der Wissenschaften (Hrsg.), Universitätsverlag Winter, Heidelberg: 184-187 [PDF]
  • Schmuker M, Schneider G (2011) Brain-like processing and classification of chemical data: an approach inspired by the sense of smell. In: Chemoinformatics and advanced machine learning perspectives, Lodhi H (Ed.), IGI Global, Hershey PA, USA. [publisher's site]
  • Nawrot MP (2010) Analysis and Interpretation of Interval and Count Variability in Neural Spike Trains. In: Analysis of Parallel Spike Trains, Grün S, Rotter S (Eds.), Springer, New York, August 2010 [abstract] [Preprint]
  • Ball T *, Mehring C *, Nawrot MP * (2006) Neuronale Kodierung von Bewegung bei Affe und Mensch: Von Einzelzellen und Zellenensembles zum Brain-Computer-Interface. In: Jahrbuch der Heidelberger Akademie der Wissenschaften für 2005

Patent

  • Aertsen A, Boucsein C, Heck D, Nawrot M, Rotter S (2010) Dynamic Simultaneous Multisite Photostimulation (to equal parts of all inventors). European Patent EP 1 762 877 A1 (submitted: 2005) [PDF]

Conference talks

  • Betkiewicz R (2013) Sequential adaption accounts for sparse and reliable stimulus encoding in sensory systems. Conference Abstract: Donders Discussions 2013, Nijmegen, Netherlands, October 31 - November 1, 2013. [abstract
  • Haenicke J, Pamir E, Nawrot MP (2013) A computational model of fast associative learning inthe honeybee. Comput. Neurosci. Conference Abstract: Meeting of the German Neuroscience Society Göttingen 2013. [abstract]
  • Nawrot MP, Farkhooi F (2012). A novel mechanism for sparse and reliable stimulus coding in sensory cortices. 10th International Workshop on Neural Coding, Prague, Czech Republic, Sep 2 - 7, 2012, P. 83
  • Nawrot MP (2011) Exploring the Relation of Interval and Count Variability in Neural Spike Trains. 8th European Conference on Mathematical and Theoretical Biology, Krakow, Poland, June 28- July 2, 2011 [abstract]
  • Nawrot MP (2010) Successive stages of response adaptation in feed-forward networks: implications for the insect olfactory pathway. Spike-Frequency Adaptation in Neural Systems Workshop, Dresden, Germany, Oct 26-27 [abstract]
  • Nawrot MP (2010) The variable discharge of cortical neurons revisited. 2nd German-Korean Workshop on Machine Learning in Life Sciences: Computational Neuroscience, Berlin, Germany [abstract]
  • Nawrot MP (2009) The effect of cortical network state evolution on the amount and dynamics of single neuron variability. Computational and Systems Neuroscience Conference 2009. Workshop Neural variability and movement variability, Snow Bird, Utah
  • Nawrot MP, Boucsein C, Grün S and Farkhooi F (2008). Serial correlation in neural spike trains: experimental evidence, point process modelling and single neuron variability. Frontiers in Computational Neuroscience. Conference Talk: Bernstein Symposium 2008. doi: 10.3389/conf.neuro.10.2008.01.016 [abstract]
  • Nawrot MP (2007) Serial inter-spike interval correlations in spiking neurons: Phenomenology, stochastic modeling and statistic predictions. Noise in Life 2007: Stochastic Dynamics in the Neurosciences, Nov 7-9 2007, Dresden, Germany
  • Strube M, Nawrot MP, Menzel R (2007) Mushroom body extrinsic neurons of the honeybee brain become specifically recruited during differential odor conditioning. 3rd Bernstein Symposium on Computational Neuroscience, Program No.36
  • Krofczik S, Stiller S, Nawrot MP, Menzel R (2006) Olfactory coding in projection neurons of the honeybee brain. 2nd symposium of the Bernstein Centers for Computational Neuroscience: p.14
  • Nawrot MP (2005) Mechanisms underlying variability in cortical networks. 1st symposium of Bernstein Centers for Computational Neuroscience, Freiburg, Germany
  • Schmuker M, Häusler C, and Nawrot M P (2010) Insect olfactory microcircuits for better neuromorphic classification devices. ESF-EMBO Conference "Functional Neurobiology in Minibrains: From flies to robots, and back again". October 17-22 2010, Sant Feliù de Guixols, Spain [abstract]
  • Schmuker, M and Spors, H (2010). Representation of chemical features in the olfactory bulb. Abstracts from the XXth Congress of European Chemoreception Research Organization, ECRO-2010. Avignon, France, Sep. 14-19. Chemical Senses 36:E1-E84, 2011. doi:10.1093/chemse/bjq126 [abstract]
  • Farkhooi F, Müller E, Nawrot MP (2009) Sequential sparsing by successive adapting neural populations. BMC Neuroscience 10 (Suppl I):O10, doi:10.1186/1471-2202-10-S1-O10 [Full Text]

Conference abstracts

  • Kasap B, Schmuker M (2013): Learning lateral inhibition with inhibitory spike-timing dependent plasticity to improve stimulus discrimination in a model of the antennal lobe. Conference Abstract: Meeting of the German Neuroscience Society Göttingen 2013.  [abstract]
  • Flindt N, Madany Mamlouk A, Schmuker M (2013): The Extreme Learning Machine as a model to study pattern discrimination in insect brains. Conference Abstract: Meeting of the German Neuroscience Society Göttingen 2013. [abstract]
  • Meyer A, Brill MF, Rössler W, Nawrot MP (2013) Linking physiology and morphology in two types ofhoneybee projection neurons. Comput. Neurosci. Conference Abstract: Meeting of the German Neuroscience Society Göttingen 2013. [abstract]
  • Schmuker M, Pfeil T, Nawrot MP (2013) Neuronal variability vs. precise stimulus discriminationin an olfaction-inspired network: A neuromorphic casestudy. Comput. Neurosci. Conference Abstract: Meeting of the German Neuroscience Society Göttingen 2013. [abstract]
  • Nawrot MP, Farkhooi F (2013) Sparse and reliable cortical representations emergenaturally in networks with adapting neurons. Comput. Neurosci. Conference Abstract: Meeting of the German Neuroscience Society Göttingen 2013. [abstract]
  • Brill MF, Meyer A, Nawrot MP, Rössler W (2013) Odor identity coding reveals parallel processing withinthe bee’s dual olfactory pathway. Comput. Neurosci. Conference Abstract: Meeting of the German Neuroscience Society Göttingen 2013. [abstract]
  • Betkiewicz R, Schmuker M, Farkhooi F, Nawrot MP (2013) A model for sparse and reliable encoding of olfactorycues in the honeybee. Comput. Neurosci. Conference Abstract: Meeting of the German Neuroscience Society Göttingen 2013. [abstract]
  • Campetella F, Klinke I, Ray S, Nawrot MP, Menzel R (2012) Neuronal activity during sleep and memory formation in the Honey bee Front. Comput. Neurosci. Conference Abstract: Bernstein Conference 2012. [abstract]
  • Helgadottir L, Haenicke J, Landgraf T, Nawrot MP (2012) A Robotic Platform for Spiking Neural Control Architectures Front. Comput. Neurosci. Conference Abstract: Bernstein Conference 2012. [abstract]
  • Haenicke J, Pamir E, Nawrot MP (2012) A spiking neuronal network model of fast associative learning in the honeybee Front. Comput. Neurosci. Conference Abstract: Bernstein Conference 2012. [abstract]
  • Meyer A, Brill M, Rösser W, Nawrot MP (2012) Do Morphologically Distinct Projection Neurons in the Honey Bee Antennal Lobe Spike Differently? Front. Comput. Neurosci. Conference Abstract: Bernstein Conference 2012. [abstract]
  • Dezhdar T, Albert T, Lewin GR and Schmuker M (2012). Temporal features of pain evoked spike trains. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference 2012. [abstract]
  • Schmuker M, Schrader S, Pfeil T and Nawrot MP (2012). A spiking classifier for nonlinear problems implemented on a neuromorphic hardware system. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference 2012. [abstract]
  • Farkhooi F, Nawrot MP (2012) Neuronal doctrine of sensory processing: adaptive networks. Sensory encoding and natural environment, Sep 9-12, 2012, Klosterneuburg, Austria
  • Nawrot MP, Farkhooi F (2012). A novel mechanism for sparse and reliable stimulus coding in sensory cortices. 10th International Workshop on Neural Coding, Prague, Czech Republic, Sep 2 - 7, 2012, P. 83 [proceedings]
  • Rost T, Riehle A, Nawrot MP (2012). A model of Trial-to-Trial Variability in Monkey Motor Cortex. 10th International Workshop on Neural Coding, Prague, Czech Republic, Sep 2 - 7, 2012, P. 107  [proceedings]
  • Sölter J, Schumacher J, Spors H, Schmuker M (2012) High-throughput in-vivo screening of glomerular ligand spectra. International Symposium on Olfaction and Taste, Stockholm, Sweden, June 23-27, 2012 (p. 241)
  • Strutz A, Sölter J, Grabe V, Baschwitz A, Farhan, A, Rybak J, Knaden M, Schmuker M, Hansson BS, Sachse Silke (2012) Inhibitory projection neurons bias the evaluation of behaviorally relevant odors in the lateral horn area of Drosophila melanogaster. International Symposium on Olfaction and Taste, Stockholm, Sweden, June 23-27, 2012 (p. 245)
  • Brill MF, Reus I, Rosenbraum T, Nawrot MP, Rössler W (2012) Parallel odor processing in the honeybee favors synaptic coincidence coding. International Symposium on Olfaction and Taste, Stockholm, Sweden, June 23-27, 2012 (p. 35)
  • Chen Y, Mishra D, Schmitt L, Schmuker M and Gerber B(2011). A behavioural odour-similarity ?space? in larval Drosophila. Front. Neurosci. Conference Abstract: Human Chemosensation 2010. Dresden,  Dec 2-4. doi:10.3389/conf.fnins.2011.85.00006 [abstract]
  • Nawrot MP, Müller E, Farkhooi F (2010) Spike-Frequency-Adaptation Benefits Neural Population Coding. 9th International Neural Coding Workshop, Limassol, Cyprus, Oct 29 - Nov 3
  • Pamir E, Schleyer M, Saumweber T, Gerber B and Nawrot MP (2011). Reverse engineering in Drosophila larvae - Modeling neural control of learned versus innate behavior. Front. Comput. Neurosci. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011. doi: 10.3389/conf.fncom.2011.53.00194 [doi]
  • Roohani H, Häusler C, Kampa BM and Nawrot MP (2011). Exploring Assembly dynamics in Mouse V1 during Natural Visual Stimulation. Front. Comput. Neurosci. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011. doi: 10.3389/conf.fncom.2011.53.00187 [doi]
  • Rost T, Riehle A and Nawrot MP (2011). Variability dynamics in motor cortex differentiate global network state from task related activity. Front. Comput. Neurosci. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011. doi: 10.3389/conf.fncom.2011.53.00166 [doi]
  • Meyer J, Haenicke J, Landgraf T, Schmuker M, Rojas R and Nawrot M (2011) A digital receptor neuron connecting remote sensor hardware to spiking neural networks. Front. Comput. Neuroscience. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011, October 4-6 2011, Freiburg, Germany. [doi]
  • Meyer A, Galizia CG and Nawrot MP (2011). A spiking point of view - Is it possible to predict a neurons morphology from its electrophysiological activity?. Front. Comput. Neurosci. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011. doi: 10.3389/conf.fncom.2011.53.00151 [doi]
  • Schnepel P, Nawrot M, Aertsen A and Boucsein C (2011). Distance and layer-dependent properties of horizontal projections onto layer 5 pyramidal neurons. Front. Comput. Neurosci. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011. doi: 10.3389/conf.fncom.2011.53.00149 [doi]
  • Meckenhäuser G, Hennig MR and Nawrot MP (2011). Evaluating the importance of different temporal features of calling songs in cricket phonotaxis. Front. Comput. Neurosci. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011. doi: 10.3389/conf.fncom.2011.53.00132 [doi]
  • Schmuker M, Schrader S, Brüderle D, Nawrot MP (2011) Ten thousand times faster: Classifying multidimensional data on a spiking neuromorphic hardware system. Front. Comput. Neurosci. Conference Abstract: BC11: Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011, October 4-6 2011, Freiburg, Germany. [abstract] [Poster]
  • D'Albis T, Haenicke J, Strube-Bloss MF, Schmuker M, Menzel R and Nawrot MP (2011) Learning-induced changes at the single neuron level predict behavioral performance in the honeybee. Front. Comput. Neurosci. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011. [doi]
  • Soelter J, Schumacher J, Strutz A, Sachse S, Spors H and Schmuker M (2011) Extraction of functional domains in optical imaging data using regularized nonnegative matrix factorization. Front. Comput. Neurosci. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011. [doi]
  • Schmuker M, Häusler C, Brüderle D, Nawrot MP (2011) Benchmarking the impact of information processing in the insect olfactory system with a neuromorphic classifier. Twentieth Annual Computational Neuroscience Meeting CNS*2011, Stockholm, July 23-28, BMC Neuroscience 2011, 12(Suppl 1):233 [abstract] [PDF]
  • Madany Mamlouk A, Schmuker M (2011) Self-organization of virtual odorant receptors inspired by insect olfaction. Twentieth Annual Computational Neuroscience Meeting CNS*2011, Stockholm, July 23-28, BMCNeuroscience (in press)
  • Meckenhäuser G, Hennig M, Nawrot MP (2011) Modeling phonotaxis in female Gryllus bimaculatus with artificial neural networks.Twentieth Annual Computational Neuroscience Meeting CNS*2011, Stockholm, July 23-28, BMC Neuroscience 2011, 12(Suppl 1):234 [abstract] [PDF]
  • Chen Y-C, Mishra D, Schmitt L, Schmuker M, Gerber B (2011) A behavioral odor-similarity "space" in larval Drosophila. 9th Göttingen Meeting of the German Neurscience Society, March 23-27
  • D'Albis T, Strube-Bloss M, Menzel R, Nawrot MP (2011) Temporal dynamics of reward prediction in mushroom body output neurons in the honeybee. 9th Göttingen Meeting of the German Neurscience Society, March 23-27
  • Pamir E, Eisenhardt D, Stollhoff N, Menzel R, Nawrot MP (2011) Evidence for one-shot learning in the honeybee. 9th Göttingen Meeting of the German Neurscience Society, March 23-27
  • Rosenbaum T, Brill M, Rössler W, Nawrot MP (2011) Do antennal lobe output neurons employ a latency code? 9th Göttingen Meeting of the German Neurscience Society, March 23-27
  • Schmuker M, Häusler Ch, Nawrot MP (2011) The honeybee olfactory system as a template for better neuromorphic classifiers. 9th Göttingen Meeting of the German Neurscience Society, March 23-27
  • Soelter J, Schumacher J, Spors H, Schmuker M (2011) Towards a physico-chemical description of vertebrate olfactory receptive space. 9th Göttingen Meeting of the German Neurscience Society, March 23-27
  • Schnepel P, Nawrot MP, Aertsen A, Boucsein C (2011) Physiological properties of non-local horizontal projections onto layer 5 pyramidal neurons. 9th Göttingen Meeting of the German Neurscience Society, March 23-27
  • Sobolev A, Rautenberg P, Kellner C, Benda J, Grewe J, Nawrot MP, Schiegel W, Zito T, Herz AV, Wachtler T (2011) Neurophysiology data management for efficient analysis and collaborative work. 9th Göttingen Meeting of the German Neurscience Society, March 23-27
  • Farkhooi F, Müller E, Nawrot MP (2010) Adaptation in neuronal population reduces variability of the rate code. Spike-Frequency Adaptation in Neural Systems Workshop, Dresden, Germany, Oct 26-27 [abstract]
  • Nawrot MP, Strube-Bloss M, Menzel R (2010) Dynamic encoding of stimulus-reward association in the honeybee mushroom body. Functional Neurobiology in Minibrains. Sant Feliu de Guixols, Spain, Oct 17-22 [abstract]
  • Farkhooi F, Muller E, Nawrot MP (2010) Adaptation Reduces Variability of the Neuronal Population Code. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. doi: 10.3389/conf.fncom.2010.51.00056 [abstract]
  • Hass J, Farkhooi F, Durstewitz D (2010) Dopaminergic modulation of time perception. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. doi: 10.3389/conf.fncom.2010.51.00041 [abstract]
  • Fucke T, Suchanek D, Seamari Y, Nawrot MP, Aertsen A and Boucsein C (2010). Stereotypic spatiotemporal activity patterns during slow-wave activity in the neocortex. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. doi: 10.3389/conf.fncom.2010.51.00040 [abstract]
  • Pamir E, Gehring K, Stollhoff N, Eisenhardt D, Nawrot MP (2010). History matters - a sequential analysis of the PER conditioning in honeybees. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. doi: 10.3389/conf.fncom.2010.51.00031 [abstract]
  • Nawrot MP, Strube-Bloss M, Menzel R (2010). Rapid encoding of stimulus-reward association in mushroom body output neurons of the honeybee. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. doi: 10.3389/conf.fncom.2010.51.00136 [abstract]
  • Rautenberg P, Sobolev A, Kellner C, Benda J, Grewe J, Nawrot MP, Schiegel W, Zito T, Herz AV, Wachtler T (2010). Efficient Data Management for Neurophysiology at the German Neuroinformatics Node. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. doi: 10.3389/conf.fncom. 2010.51.00142 [abstract]
  • Sölter J, Spors H, Schumacher J and Schmuker M (2010). From chemical to receptive space. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. Berlin, Sep 27 - Oct 1. doi:10.3389/conf.fncom.2010.51.00111 [abstract]
  • Schmuker M, Häusler C and Nawrot MP (2010) Neuromorphic classifier microcircuits. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. Berlin, Sep 27 - Oct 1. doi:10.3389/conf.fncom.2010.51.00048 [abstract]
  • Schnepel P, Nawrot MP, Aertsen A and Boucsein C (2010). Number, reliability and precision of long-distance projections onto neocortical layer 5 pyramidalneurons. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. doi: 10.3389/conf.fncom.2010.51.00110 [abstract]
  • Häusler C, Nawrot MP and Schmuker M (2010). A neuromorphic model of dual pathway odour classification. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience. Berlin, Sep 27 - Oct 1. doi:10.3389/conf.fncom.2010.51.00043 [abstract]
  • Nawrot MP, Strube-Bloss M, Menzel R (2010) Mushroom Body Output Neurons Encode Odor-Reward Associations. Honeybee Neuroscience Symposium, Berlin, June 10-13
  • Schmuker M, Häusler C, Rost T, Yamagata N, Menzel R (2010) Mechanisms and purpose of dual- pathway odor coding in the honeybee. Honeybee Neuroscience Symposium, Berlin, June 10-13.
  • Farkhooi F, Froese A, Müller E, Menzel R, Nawrot MP (2010) Response Adaptation can Explain Temporal Sparse Coding in the Insect Mushroom Body. Honeybee Neuroscience Symposium, Berlin, June 10-13
  • Farkhooi F, van Vreeswijk C (2009) A Novel Synchronisation Analysis for Noisy Coupled Neuronal Ensembles. Trends in Complex Systems: International Workshop on Synchronization and Multiscale Complex Dynamics in the Brain, Nov 2-6 2009,  MPI-Dresden [abstract]
  • Farkhooi F, Strube-Bloss M, Nawrot MP (2009) Single and ensemble neural variability with serial correlation.  9th International Congress of the Polish Neuroscience Society, Warsaw, Poland, Sep 9-12, 2009 [abstract]
  • Wachtler T, Nawrot MP, Benda J, Grewe J, Zito T, Schiegel W and Herz A (2009). The German Neuroinformatics Node: Development of tools for data analysis and data sharing. Frontiers in Computational Neuroscience. Conference Abstract: Bernstein Conference on Computational Neuroscience. doi: 10.3389/conf.neuro.10.2009.14.081 [abstract]
  • Rybak J, Kuß A, Holler W, Brandt R, Hege HC, Nawrot MP, Menzel R (2009) The HoneyBee Standard Brain (HSB) - a Versatile Atlas Tool for Integrating Data and Data Exchange in the Neuroscience Community. BMC Neuroscience 10 (Suppl 1):P1, doi:10.1186/1471-2202-10-S1-P1 [Full Text]
  • Farkhooi F, Boucsein B, Nawrot MP (2008) Negative serial dependence between spiking intervals improve rate estimation in post-synaptic cortical ensemble. AREADNE 2008 - Research in Encoding And Decoding of Neural Ensembles, Jun 26-29 2008, Santorini, Greece.
  • Wachtler T, Nawrot MP, Benda J, Grewe J, Zito T, Schiegel W and Herz A (2009). Development of tools for data analysis and data sharing at the German Neuroinformatics Node. Frontiers in Neuroinformatics. Conference Abstract: 2nd INCF Congress of Neuroinformatics. doi: 10.3389/conf.neuro.11.2009.08.077 [abstract]
  • Boucsein C, Rau F, Nawrot MP, Aertsen A (2009) Photo-activation of neuronal tissue using a spatial light modulator (DMD) 8th Göttingen Meeting of the German Neuroscience Society 2009 [PDF]
  • Farkhooi F, Nawrot MP (2009) Spike Frequency Adaption Reduces Noise in Neural Ensemble Activity. 8th Göttingen Meeting of the German Neuroscience Society 2009 [PDF]
  • Nawrot MP, Boucsein C (2009) Spike Sorting Errors: Statistical Differences of Cortical 'Single Unit' and 'Single Neuron' Activity. 8th Göttingen Meeting of the German Neuroscience Society 2009 [PDF]
  • Nawrot MP, Rickert J, Riehle A, Aertsen A and Rotter S (2009). Context dependent movement encoding and variability in the motor cortex. Frontiers in Systems Neuroscience. Conference Abstract: Computational and systems neuroscience. doi: 10.3389/conf.neuro.06.2009.03.280 [abstract]
  • Muller E, Davison AP, Brizzi T, Brüderle D, Eppler JM, Kremkow J, Pecevski D, Perrinet L, Schmuker M and Yger P (2009): NeuralEnsembleOrg: Unifying neural simulators in Python to ease the model complexity bottleneck. 2nd INCF Congress of Neuroinformatics. doi: 10.3389/conf.neuro.11.2009.08.104 [abstract]
  • Strube M, Nawrot MP, Menzel R (2008) Odor learning leads to the recruitment of previously non-responding alpha-lobe extrinsic neurons in the honeybee. SFN Annual Meeting, Nov 15-19 2008, Washington DC, USA [abstract]
  • Schmuker M, Weidert M, Menzel R (2008): Analysis and modeling of odorant response patterns in the antennal lobe of the honeybee during olfactory conditioning. Society for Neuroscience annual meeting, Washington DC, USA, Nov. 15-19, 2008.
  • Kremkow J, Brizzi T, Brüderle D, Davison A P, Schmuker M, Yger P (2008): NeuroTools: analysis, visualization and management of real and simulated neuroscience data. Annual Meeting of the Society for Neuroscience, Washington DC, USA, Nov. 15-19, 2008.
  • Pamir E, Schmuker M, Strube-Bloss M, Menzel R, Nawrot MP (2008). Detection of odor-specific response latencies in the honeybee olfactory system. Frontiers in Computational Neuroscience. Conference Abstract: Bernstein Symposium 2008. doi: 10.3389/conf.neuro.10.2008.01.103 [abstract]
  • Klinke I, Klinke J, Schmuker M, Strauch M, Nowotny T, Galizia GC and Menzel R (2008). The Bernstein Partner Project 'Olfactory Coding': A joint effort to reveal the neural basis of olfaction. Frontiers in Computational Neuroscience. Conference Abstract: Bernstein Symposium 2008. doi: 10.3389/conf.neuro.10.2008.01.073
  • Farkhooi F, Nawrot MP, Cuntz H, Müller E (2008). Intrinsic mechanisms of spike frequency adaption lead to negative serial correlations of inter-spike intervals. Frontiers in Computational Neuroscience. Conference Abstract: Bernstein Symposium 2008. doi: 10.3389/conf.neuro.10.2008.01.044 [abstract]
  • Herz A, Meier R, Nawrot MP, Schiegel W, Zito T (2008). Systems neurophysiology in the age of global neuroinformatics. Frontiers in Computational Neuroscience. Conference Abstract: Bernstein Symposium 2008. doi: 10.3389/conf.neuro. 10.2008.01.005 [abstract]
  • Nawrot MP, Farkhooi F and Grün S (2008). Significance of coincident spiking considering inter-spike interval variability and serial interval correlation. Frontiers in Computational Neuroscience. Conference Abstract: Bernstein Symposium 2008. doi: 10.3389/conf.neuro.10.2008.01.017 [abstract]
  • Herz A, Meier R, Nawrot MP, Schiegel W and Zito T (2008). G-Node: An Integrated Tool-Sharing Platform to Support Cellular and Systems Neurophysiology in the Age of Global Neuroinformatics. Frontiers in Neuroinformatics. Conference Abstract: Neuroinformatics 2008. doi: 10.3389/conf.neuro.11.2008.01.110 [abstract]
  • Grün S, Farkhooi F and Nawrot MP (2008). Significance of coincident spiking considering inter-spike interval variability and serial interval correlation. Frontiers in Neuroinformatics. Conference Abstract: Neuroinformatics 2008. doi: 10.3389/conf.neuro.11.2008.01.021 [abstract]
  • Boucsein C, Nawrot M, Aertsen A (2007) Spatio-temporal dynamics of neocortical networks in vivo. Midterm evaluation of the German National Network for Computational Neuroscience, Berlin, Dec 3-4, 2007, Program No. B4, p.44
  • Klinke I, Rein J, Schmuker M, Strauch M, Nowotny T, Galizia G, Menzel R (2007) Olfactory coding: Integrating experimental and theoretical approaches. Midterm evaluation of the German National Network for Computational Neuroscience, Berlin, Dec 3-4, 2007, Program No. C8, p.129
  • Meier R, Aertsen A, Boven K-H, Nawrot M, Egert U (2007) Spike Tools - An open source, platform-independent analysis toolbox for multi-channel spike recordings. Midterm evaluation of the German National Network for Computational Neuroscience, Berlin, Dec 3-4, 2007, Program No. B5, p.45
  • Menzel R, Nawrot M (2007) Neural correlates of olfactory coding and learning in the honey bee brain. Midterm evaluation of the German National Network for Computational Neuroscience, Berlin, Dec 3-4, 2007, Program No. B6, p.25
  • Weinberger O, Mikkonen J, Okujeni S, Gürel T, Boven K-H, Nawrot M, Egert U (2007) Interaction of biological and computational neuronal networks in a hybrid circuit. Midterm evaluation of the German National Network for Computational Neuroscience, Berlin, Dec 3-4, 2007, Program No. B2, p.42
  • Farkhooi F, Nawrot MP (2007) Spike history matters! Noise in Life 2007: Stochastic Dynamics in the Neurosciences, Nov 7-9 2007, Dresden, Germany
  • Berger D, Maldonado P, Babul C, Nawrot MP, Grün S (2007) Eye movements of monkeys during free exploration of natural scenes. 3rd Bernstein Symposium on Computational Neuroscience, Program No.44
  • Farkhooi F, Strube M, Müller E, Nawrot MP (2007) Serial Interval Correlation in Spontaneous Spiking Activity: Estimation, Simulation and Implications. 3rd Bernstein Symposium on Computational Neuroscience, Program No.53
  • Nawrot MP, Schnepel P, Aertsen A, Boucsein C (2007) Functional Optimization for Reliable Transmission in Neocortical Networks. 3rd Bernstein Symposium on Computational Neuroscience, Program No.38
  • Schmuker M, Yamagata N, Menzel R (2007) Temporal dynamics in the Honeybee olfactory system - an ICA approach. 3rd Bernstein Symposium on Computational Neuroscience, Program No.98
  • Rickert J, Nawrot MP, Riehle A, Aertsen A, Rotter S (2007) Dynamic eoncoding of movement direction in motor cortical neurons. 17th Annual Meeting of Neural Control of Movement, March 25-30, 2007, Seville, Spain
  • Berger D, Maldonado P, Babul C, Nawrot MP, Grün S (2007) Statistics of eye movements of monkey freely viewing natural scenes. 7th Göttingen Meeting of the German Neuroscience Society, Suppl. Neuroforum 8(1): T17-2A
  • Nawrot MP, Krofczik S, Stiller S, Menzel R (2007) Olfactory Coding in the Honeybee Brain I. Binary Population Code in Projection Neurons. 7th Göttingen Meeting of the German Neuroscience Society, Suppl. Neuroforum 8(1): T20-1A
  • Strube M, Stiller S, Nawrot MP, Menzel R (2007) Olfactory Coding in the Honeybee Brain III. Sparseness, Reliability and Reward Conditioning in Alpha-Lobe Extrinsic Neurons. 7th Göttingen Meeting of the German Neuroscience Society, Suppl. Neuroforum 8(1): T20-3A
  • Suchanek D, Seamari Y, Nawrot MP, Aertsen A, Boucsein C (2007) Spatio-temporal structure of spontaneous state transitions in the neocortex. 7th Göttingen Meeting of the German Neuroscience Society, Suppl. Neuroforum 8(1): T21-10A
  • Berger D, Maldonado PE, Babul C, Nawrot MP, Grün S (2007) Eye movements of monkeys during free exploration of natural scenes. Soc. Neurosci. Abstr. Online: 396.9
  • Boucsein C, Suchanek D, Seamari Y, Nawrot MP, Aertsen A (2006) Spatio-temporal structure of spontaneous state transitions in the neocortex in vivo. 2nd symposium of the Bernstein Centers for Computational Neuroscience: p.39
  • Strube M, Stiller S, Grün S, Menzel R, Nawrot MP (2006) Reliability and precision of odor evoked responses in mushroom body extrinsic neurons of the honeybee. 2nd symposium of the Bernstein Centers for Computational Neuroscience: p. 69
  • Nawrot MP, Boucsein C, Rodriguez-Molina V, Grün S, Rotter S (2006) Serial correlation of inter-spike intervals in cortical neurons. Computational Neuroscience Meeting 2006: 27, Edinburgh, UK
  • Nawrot MP, Benda J (2006) Two methods for time-resolved inter-spike interval analysis. Berlin Neuroforum 2006: 62
  • Strube M, Nawrot MP, Grün S, Menzel R. (2006) Analyzing olfactory coding using extracellular recordings from mushroom body extrinsic neurons in the honeybee. Berlin Neuroforum 2006: 93
  • Suchanek D, Seamari Y, Nawrot MP, Aertsen A, Boucsein C (2006) Spatio-temporal structure of spontaneous slow-wave oscillations in the neocortex. Soc. Neurosci. Abstr. Online: 796.22

* Authors contributed equally to this work.

Keywords

  • Neuroinformatics