Martin Paul Nawrot, Ph.D.

Affiliations: 
1999-2003 Biology Albert Ludwigs University Freiburg, Freiburg im Breisgau, Baden-Württemberg, Germany 
 2003-2005 Heidelberg Academy of Sciences and Humanities 
 2005-2014 Institute for Biology Freie Universität Berlin, Berlin, Germany 
 2015- Biology, Institute for Zoology University of Cologne, Köln, Nordrhein-Westfalen, Germany 
Area:
Computational Neuroscience, Neural Coding, Learning, Memory, Motor Control, Neural Variability
Website:
https://computational-systems-neuroscience.de/
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"Martin Paul Nawrot, Ph.D."
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Publications

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Jürgensen AM, Schmitt FJ, Nawrot MP. (2024) Minimal circuit motifs for second-order conditioning in the insect mushroom body. Frontiers in Physiology. 14: 1326307
Hancock CE, Rostami V, Rachad EY, et al. (2022) Visualization of learning-induced synaptic plasticity in output neurons of the Drosophila mushroom body γ-lobe. Scientific Reports. 12: 10421
Betkiewicz R, Lindner B, Nawrot MP. (2020) Circuit and cellular mechanisms facilitate the transformation from dense to sparse coding in the insect olfactory system. Eneuro
Rapp H, Nawrot MP, Stern M. (2020) Numerical Cognition Based on Precise Counting with a Single Spiking Neuron. Iscience. 23: 100852
Riehle A, Brochier T, Nawrot M, et al. (2018) Behavioral Context Determines Network State and Variability Dynamics in Monkey Motor Cortex. Frontiers in Neural Circuits. 12: 52
Haenicke J, Yamagata N, Zwaka H, et al. (2018) Neural Correlates of Odor Learning in the Presynaptic Microglomerular Circuitry in the Honeybee Mushroom Body Calyx. Eneuro. 5
Nawrot MP, Kloppenburg P, Deger M. (2018) Foreword for the special issue on Neural Coding. Biological Cybernetics
Nashef A, Rapp H, Nawrot MP, et al. (2017) Area-specific processing of cerebellar-thalamo-cortical information in primates. Biological Cybernetics
Rost T, Deger M, Nawrot MP. (2017) Winnerless competition in clustered balanced networks: inhibitory assemblies do the trick. Biological Cybernetics
Müller J, Nawrot M, Menzel R, et al. (2017) A neural network model for familiarity and context learning during honeybee foraging flights. Biological Cybernetics
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