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Recent Preprints

  • Rapp H, Nawrot MP, Stern M(2018) Reliable counting of weakly labeled concepts by a single spiking neuron model arXiv preprint arXiv:1805.07569
  • Mana PGL, Rostami V, Torre E, Roudi Y (2018) Maximum-entropy and representative samples of neuronal activity: a dilemma. arXiv:1805.09084
  • Betkiewicz R, Lindner B, Nawrot MP (2018) Circuit and cellular mechanisms facilitate the transformation from dense to sparse coding in the insect olfactory system bioRxiv https://doi.org/10.1101/240671

Peer review articles

  • Seeholzer A, Deger M, Gerstner W (2019) Stability of working memory in continuous attractor networks under the control of short-term plasticity PLoS Computational Biology
  • Haenicke J, Yamagata N, Zwaka H, Nawrot M, Menzel R. (2018) Neural Correlates of Odor Learning in the Presynaptic Microglomerular Circuitry in the Honeybee Mushroom Body Calyx. ENeuro. 2018;5(3)
  • Quaglio P., Rostami V., Torre E, Grün S (2018) Methods for identification of spike patterns in massively parallel spike trains. Biol Cybern 112: 57.
  • Riehle A, Brochier T, Nawrot M, Grün S. (2018) Behavioral Context Determines Network State and Variability Dynamics in Monkey Motor Cortex. Front Neural Circuits. 2018;12:52.
  • Nawrot, M.P., Kloppenburg, P. & Deger, M. (2018) Foreword for the special issue on Neural Coding Biol Cybern 112: 11.
  • Nashef A, Rapp H, Nawrot MP#, Prut Y# (2018) Area-specific processing of cerebellar-thalamo-cortical information in primates. Biological Cybernetics, 1-12.
  • Rost T, Deger M, Nawrot, MP (2018) Winnerless competition in clustered balanced networks: inhibitory assemblies do the trick. Biological Cybernetics, 1-18.
  • Setareh H, Deger M, Gerstner W (2018) Excitable neuronal assemblies with adaptation as a building block of brain circuits for velocity-controlled signal propagation. PLoS Comput Biol 14(7): e1006216.
  • Müller J, Nawrot MP, Menzel R, Landgraf T (2018). A neural network model for familiarity and context learning during honeybee foraging flights. Biological Cybernetics, 1-14.
  • Lungu IA, Riehle A, Nawrot MP# Schmuker M# (2017) Predicting voluntary movements from motor cortical activity with neuromorphic hardware. IBM Journal of Research and Development 61(2/3), 5-1.
  • Setareh H, Deger M,Petersen C and Gerstner W (2017) Cortical Dynamics in Presence of Assemblies of Densely Connected Weight-Hub Neurons Front. Comput. Neurosci., 22
  • Strube-Bloss M, Nawrot MP, Menzel R (2016) Neural correlates of side specific odour memory in mushroom body output neurons. Proceedings of the Royal Society of London B 283: 20161270
  • Schmuker M, Pfeil T, Nawrot MP (2014) A neuromorphic network for generic multivariate data classification. Proceedings of the National Academy of Sciences 111(6), 2081-2086
  • Kloppenburg P, Nawrot MP (2014). Neural coding: sparse but on time. Curr Biol 24: R957-9.
  • Meckenhäuser G, Krämer S, Farkhooi F, Ronacher B, Nawrot MP (2014). Neural representation of calling songs and their behavioral relevance in the grasshopper auditory system. Frontiers in systems neuroscience 8
  • Pamir E, Szyszka P, Scheiner R, Nawrot MP (2014). Rapid learning dynamics in individual honeybees during classical conditioning. Frontiers in behavioral neuroscience 8
  • 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
  • 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
  • Häusler C*, Susemihl A*, Nawrot MP (2013) Natural image sequences constrain dynamic receptive fields and imply a sparse code. Brain Research 1536: 53-67
  • 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
  • Brill MF, Rosenbaum T, Reus I, Kleineidam CJ, Nawrot MP, Rössler W (2013) Parallel Processing via a Dual Olfactory Pathway in the Honeybee. Journal of Neuroscience 33: 2443-2456
  • 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, 2013
  • Rost T, Ramachandran H, Nawrot MP, Chicca E (2013) A neuromorphic approach to auditory pattern recognition in cricket phonotaxis. Proceedings of the 21st European Conference on Cricuit Theory and Design, Sep 8-12, 2013
  • Nawrot MP (2012) Dynamics of sensory processing in the dual olfactory pathway of the honeybee. Apidologie.43: 269-91; doi: 10.1007/s13592-012-0131-3
  • 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
  • Schmuker M, Yamagata N, Nawrot MP, 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
  • 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
  • Fucke T, Suchanek D, Nawrot MP, Seamari Y, Heck D, Aertsen A, Boucsein C (2011) Stereotypic spatio-temporal activity patterns during slow-wave activity in the neocortex. Journal of Neurophysiology 106: 3035-3044
  • Farkhooi F, Müller E, Nawrot MP (2011) Adaptation reduces variability of the neural population code. Physical Review E 83: 050905
  • 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
  • Strube-Bloss M*, Nawrot MP*, Menzel R (2011) Encoding of odor-reward associations in mushroom body output neurons. Journal of Neuroscience 31(8):3129-3140
  • Häusler C, Nawrot MP, 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, April 27 - May 01, Cancun, Mexico: 198-202
  • 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
  • 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
  • Farkhooi F, Strube M, Nawrot MP (2009) Serial correlation in neural spike trains: experimental evidence, stochastic modeling, and single neuron variability. Physical Review E 79: 021905
  • Krofczik S, Menzel R, Nawrot MP (2009) Rapid odor processing in the honeybee antennal lobe network. Frontiers in Computational Neuroscience 2:9
  • Meier R, Egert U, Aertsen A, Nawrot MP (2008) FIND – a unified framework for neural data analysis. Neural Networks 21: 1085-1093
  • 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
  • Nawrot MP, Boucsein C, Rodriguez-Molina V, Riehle A, Aertsen A, Rotter S (2008) Measurement of variability dynamics in cortical spike trains. Journal of Neuroscience Methods 169: 374-390
  • 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
  • Mehring C, Nawrot MP, Schulze-Bonhage A, Aertsen A, Ball T (2005) Human brain-machine interfacing based on epicortical field potentials: comparison of different decoding methods. Biomedical Engineering 50: 536-537
  • Boucsein C*, Nawrot MP*, Rotter S, Aertsen A, Heck D (2005) Controlling synaptic input patterns in vitro by dynamic photo stimulation. Journal of Neurophysiology 94: 2948-2958
  • Mehring C*, Nawrot MP*, Cardoso de Oliveira S, Vaadia E, Schulze-Bonhage A, Aertsen A, Ball T (2004) Comparing information about arm movement direction in single channels of local and epicortical field potentials from monkey and human motor cortex. Journal of Physiology (Paris) 98: 498-506
  • Ball T *, Nawrot MP *, Schulze-Bonhage A, Aertsen A, Mehring C (2004) Towards a brain-machine interface based on epicortical field potentials. Biomedical Engineering 49: 756-759
  • Nawrot MP, Aertsen A, Rotter S (2003) Elimination of response latency variability in neuronal spike trains. Biological Cybernetics 88: 321-334
  • Nawrot MP, Pistohl T, Schrader S, Hehl U, Rodriguez A, Aertsen A (2003) Embedding living neurons into simulated neural networks. Proceedings of the 1st International IEEE EMBS Conference on Neural Engineering, Capri (Italy): 229-232
  • Egert U, Knott Th, Schwarz C, Nawrot M, Brandt A, Rotter S, Diesmann M (2002) MEA-tools: an open source toolbox for the analysis of multielectrode data with MATLAB. Journal of Neuroscience Methods 177: 33-42
  • Nawrot M, Aertsen A, Rotter S (1999) Single-trial estimation of neuronal firing rates - From single neuron spike trains to population activity. Journal of Neuroscience Methods 94: 81-92

Book chapters

  • Landgraf T, Nawrot MP (2016) Künstliche Mini-Gehirne für Roboter. In: Planen und Handeln (pp. 135-150). Springer Fachmedien Wiesbaden.
  • Chicca E, Schmuker M, Nawrot MP (2015) Neuromorphic Sensors: Olfaction. In: Encyclopedia of Computational Neuroscience, edited by Dieter Jaeger and Ranu Jung, Springer
  • 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
  • Nawrot MP (2011) Neuroinformatik: Theorie Neuronaler Informationsverarbeitung. In: Speerspitzen, Heidelberger Akademie der Wissenschaften (Hrsg.), Universitätsverlag Winter, Heidelberg: 184-187
  • 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: 37-58
  • Ball T *, Mehring C *, Nawrot MP * (2006) Neuronale Kodierung von Bewegung bei Affe und Mensch: Von Einzelzellen und Zellenensembles zum Brain-Computer-Interface IV. In: Jahrbuch der Heidelberger Akademie der Wissenschaften für 2005: 254-261 > Equal authorship <
  • Ball T *, Mehring C *, Nawrot MP *, Weiskopf N * (2005) Neuronale Kodierung von Bewegung bei Affe und Mensch: Von Einzelzellen und Zellenensembles zum Brain-Computer-Interface III. In: Jahrbuch der Heidelberger Akademie der Wissenschaften für 2004: 260-269
  • Ball T *, Mehring C *, Nawrot MP *, Weiskopf N * (2004) Neuronale Kodierung von Bewegung bei Affe und Mensch: Von Einzelzellen und Zellenensembles zum Brain-Computer-Interface II. In: Jahrbuch der Heidelberger Akademie der Wissenschaften für 2003: 318-324
  • Ball T *, Mehring C *, Nawrot MP *, Weiskopf N * (2003) Neuronale Kodierung von Bewegung bei Affe und Mensch: Von Einzelzellen und Zellenensembles zum Brain-Computer-Interface I. In: Jahrbuch der Heidelberger Akademie der Wissenschaften für 2002: 285-292

Conference Papers (non peer-reviewed)

  • Meckenhäuser G, Hennig M, Nawrot MP (2011) Modeling phonotaxis in female Gryllus bimaculatus with artificial neural networks. BMC Neuroscience 2011, 12 (Suppl 1):234
  • Schmuker M, Häusler C, Brüderle D, Nawrot MP (2011) Benchmarking the impact of information processing in the insect olfactory system with a neuromorphic classifier. BMC Neuroscience 2011, 12(Suppl 1):233
  • Farkhooi F, Müller E, Nawrot MP (2009) Sequential Sparsing by Successive Adapting Neural Populations. BMC Neuroscience 10 (Suppl I):O10: 1-2, doi:10.1186/1471-2202-10-S1-O10; full supplement: arXiv:1007.2345
  • Aertsen A, Garbers C, Kilias A, Meier R, Nawrot MP, Boven KH, Egert E (2009) FIND - a unified framework for neural data analysis. BMC Neuroscience 2009, 10 (Suppl 1):S1
  • 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: 1-2, doi:10.1186/1471-2202-10-S1-P1

Patent

  • Aertsen A*, Boucsein C *, Heck D *, Nawrot M *, Rotter S * (2010) Dynamic Simultaneous Multisite Photostimulation (DSMP), Patent No. ZEE20050629 with German Patent and Trade Mark Office (GPTO), to equal parts of all inventors

PhD Thesis