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Journal Articles
- 2023
[j14]Felix Johannes Schmitt
, Vahid Rostami, Martin Paul Nawrot:
Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST. Frontiers Neuroinformatics 17 (2023)- 2021
- [j13]Anna-Maria Jürgensen, Afshin Khalili, Elisabetta Chicca, Giacomo Indiveri, Martin Paul Nawrot:
A neuromorphic model of olfactory processing and sparse coding in the Drosophila larva brain. Neuromorph. Comput. Eng. 1(2): 24008 (2021) - 2020
- [j12]Hannes Rapp, Martin Paul Nawrot:
A spiking neural program for sensorimotor control during foraging in flying insects. Proc. Natl. Acad. Sci. USA 117(45): 28412-28421 (2020) - 2018
- [j11]Martin P. Nawrot, Peter Kloppenburg, Moritz Deger:
Foreword for the special issue on Neural Coding. Biol. Cybern. 112(1-2): 11 (2018) - [j10]Thomas Rost, Moritz Deger, Martin P. Nawrot:
Winnerless competition in clustered balanced networks: inhibitory assemblies do the trick. Biol. Cybern. 112(1-2): 81-98 (2018) - [j9]Jurek Müller, Martin P. Nawrot, Randolf Menzel, Tim Landgraf:
A neural network model for familiarity and context learning during honeybee foraging flights. Biol. Cybern. 112(1-2): 113-126 (2018) - [j8]Abdulraheem Nashef, Hannes Rapp, Martin P. Nawrot, Yifat Prut:
Area-specific processing of cerebellar-thalamo-cortical information in primates. Biol. Cybern. 112(1-2): 141-152 (2018) - 2017
- [j7]Iulia-Alexandra Lungu, Alexa Riehle, Martin P. Nawrot, Michael Schmuker:
Predicting voluntary movements from motor cortical activity with neuromorphic hardware. IBM J. Res. Dev. 61(2/3): 5:1-5:12 (2017) - 2013
- [j6]Farzad Farkhooi, Anja Froese, Eilif B. Müller, Randolf Menzel, Martin P. Nawrot:
Cellular Adaptation Facilitates Sparse and Reliable Coding in Sensory Pathways. PLoS Comput. Biol. 9(10) (2013) - 2008
- [j5]Sabine Krofczik, Randolf Menzel, Martin P. Nawrot:
Rapid odor processing in the honeybee antennal lobe network. Frontiers Comput. Neurosci. 2: 9 (2008) - [j4]Andreas V. M. Herz, Ralph Meier, Martin P. Nawrot, Willi Schiegel, Tiziano Zito:
G-Node: An integrated tool-sharing platform to support cellular and systems neurophysiology in the age of global neuroinformatics. Neural Networks 21(8): 1070-1075 (2008) - [j3]Ralph Meier, Ulrich Egert, Ad Aertsen, Martin P. Nawrot:
FIND - A unified framework for neural data analysis. Neural Networks 21(8): 1085-1093 (2008) - 2007
- [j2]Martin P. Nawrot, Clemens Boucsein, Victor Rodriguez-Molina, Ad Aertsen, Sonja Grün, Stefan Rotter:
Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro. Neurocomputing 70(10-12): 1717-1722 (2007) - 2003
- [j1]Martin P. Nawrot, Ad Aertsen, Stefan Rotter:
Elimination of response latency variability in neuronal spike trains. Biol. Cybern. 88(5): 321-334 (2003)
Conference and Workshop Papers
- 2022
- [c4]Felix Johannes Schmitt, Martin Paul Nawrot:
Evaluating parameter tuning and real-time closed-loop simulation of large scale spiking networks before mapping to neuromorphic hardware: Comparing GeNN and NEST. NICE 2022: 29-31 - 2020
- [c3]Panagiotis Sakagiannis, Miguel Aguilera, Martin Paul Nawrot:
A Plausible Mechanism for Drosophila Larva Intermittent Behavior. Living Machines 2020: 288-299 - 2013
- [c2]Thomas Rost, Harshawardhan Ramachandran, Martin P. Nawrot, Elisabetta Chicca:
A neuromorphic approach to auditory pattern recognition in cricket phonotaxis. ECCTD 2013: 1-4 - [c1]Tim Landgraf, Benjamin Wild, Tobias Ludwig, Philipp Nowak, Lovisa Helgadottir, Benjamin Daumenlang, Philipp Breinlinger, Martin P. Nawrot, Raúl Rojas:
NeuroCopter: Neuromorphic Computation of 6D Ego-Motion of a Quadcopter. Living Machines 2013: 143-153
Reference Works
- 2014
- [r1]Elisabetta Chicca, Michael Schmuker, Martin P. Nawrot:
Neuromorphic Sensors, Olfaction. Encyclopedia of Computational Neuroscience 2014
Informal and Other Publications
- 2018
- [i2]Hannes Rapp, Martin Paul Nawrot, Merav Stern:
Reliable counting of weakly labeled concepts by a single spiking neuron model. CoRR abs/1805.07569 (2018) - 2013
- [i1]Chris Häusler, Alex K. Susemihl, Martin P. Nawrot, Manfred Opper:
Temporal Autoencoding Improves Generative Models of Time Series. CoRR abs/1309.3103 (2013)
Coauthor Index
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