Alexander Hanuschkin

Mercedes-Benz (Germany) — Germany

Agricultural and Biological Sciences · Life Sciences

13h-index734citations21works0.02yr avg
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Research Topics

Animal Behavior and Reproduction(5), Neural dynamics and brain function(5), Animal Vocal Communication and Behavior(5), Neuroscience and Neuropharmacology Research(4), Advanced Combustion Engine Technologies(4)

Publications21 total

Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
Preprints.org·2021· 24 citedOpen Access
Maschinelles Lernen als Analysewerkzeug in der Motorenforschung
ATZelektronik·2021
Machine Learning as an Analysis Tool in Engine Research
ATZelectronics worldwide·2021
Deep feature learning of in-cylinder flow fields to analyze cycle-to-cycle variations in an SI engine
International Journal of Engine Research·2020· 26 citedOpen Access
Investigation of cycle-to-cycle variations in a spark-ignition engine based on a machine learning analysis of the early flame kernel
Proceedings of the Combustion Institute·2020· 31 citedOpen Access
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality\n Assurance Methodology
arXiv (Cornell University)·2020· 2 citedOpen Access
Machine learning–based analysis of in-cylinder flow fields to predict combustion engine performance
International Journal of Engine Research·2019· 42 citedOpen Access
A Network Model Reveals That the Experimentally Observed Switch of the Granule Cell Phenotype During Epilepsy Can Maintain the Pattern Separation Function of the Dentate Gyrus
Springer series in computational neuroscience·2018· 2 cited
Songbirds work around computational complexity by learning song vocabulary independently of sequence
Nature Communications·2017· 68 citedOpen Access
Rhythmic Continuous-Time Coding in the Songbird Analog of Vocal Motor Cortex
Neuron·2016· 106 citedOpen Access
Modular composition and dynamics of native GABAB receptors identified by high-resolution proteomics
Nature Neuroscience·2015· 144 cited
Intrinsic rescaling of granule cells restores pattern separation ability of a dentate gyrus network model during epileptic hyperexcitability
Hippocampus·2014· 62 cited
A Hebbian learning rule gives rise to mirror neurons and links them to control theoretic inverse models
Frontiers in Neural Circuits·2013· 50 citedOpen Access
Adaptive Intrinsic Plasticity in Human Dentate Gyrus Granule Cells during Temporal Lobe Epilepsy
Cerebral Cortex·2011· 62 cited
A reafferent and feed-forward model of song syntax generation in the Bengalese finch
Journal of Computational Neuroscience·2011· 29 citedOpen Access
Compositionality of arm movements can be realized by propagating synchrony
Journal of Computational Neuroscience·2010· 15 citedOpen Access
A reafferent model of song syntax generation in the Bengalese finch
BMC Neuroscience·2010· 4 citedOpen Access
Compositionality in neural networks
FreiDok plus (Universitätsbibliothek Freiburg)·2010
A General and Efficient Method for Incorporating Precise Spike Times in Globally Time-Driven Simulations
Frontiers in Neuroinformatics·2010· 63 citedOpen Access
A model of free monkey scribbling based on the propagation of cell assembly activity
BMC Neuroscience·2009· 2 citedOpen Access
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Frequent Co-authors

Steven Peters(7), Abigail Morrison(6), Markus Diesmann(6), Jürgen Schorr(4), Richard H. R. Hahnloser(3), Benjamin Böhm(3), Christian Krüger(3), Susanne Kunkel(2), Moritz Helias(2), Man Yi Yim(2), Jakob Wolfart(2), Samuel Zündorf(2), Marius Schmidt(2), Cooper Welch(2), Andreas Dreizler(2), Stefan Studer(2), Thanh Binh Bui(2), Christian Drescher(2), Ludwig Winkler(2), Klaus-Robert Müller(2)