Astrid A. Prinz
According to our database1,
Astrid A. Prinz
authored at least 22 papers
between 2000 and 2019.
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Bibliography
2019
Provenance and Reproducibility in the Automation of a Standard Computational Neuroscience Pipeline.
Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, 2019
2015
Distal Spike Initiation Zone Location Estimation by Morphological Simulation of Ionic Current Filtering Demonstrated in a Novel Model of an Identified <i>Drosophila</i> Motoneuron.
PLoS Comput. Biol., 2015
Differential effects of conductances on the phase resetting curve of a bursting neuronal oscillator.
J. Comput. Neurosci., 2015
2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
2013
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013
2012
Co-variation of ionic conductances supports phase maintenance in stomatogastric neurons.
J. Comput. Neurosci., 2012
Frontiers Comput. Neurosci., 2012
2011
Responses of a bursting pacemaker to excitation reveal spatial segregation between bursting and spiking mechanisms.
J. Comput. Neurosci., 2011
2010
J. Comput. Neurosci., 2010
Proceedings of the Rough Sets and Current Trends in Computing, 2010
2009
Database Analysis of Simulated and Recorded Electrophysiological Datasets with PANDORA's Toolbox.
Neuroinformatics, 2009
Computational intelligence in modeling of biological neurons: A case study of an invertebrate pacemaker neuron.
Proceedings of the International Joint Conference on Neural Networks, 2009
Finding sensors for homeostasis of biological neuronal networks using artificial neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2009
2007
NeuroVis: combining dimensional stacking and pixelization to visually explore, analyze, and mine multidimensional multivariate data.
Proceedings of the Visualization and Data Analysis 2007, 2007
2006
Independent Component Analysis-motivated Approach to Classificatory Decomposition of Cortical Evoked Potentials.
BMC Bioinform., 2006
Leveraging Layout with Dimensional Stacking and Pixelization to Facilitate Feature Discovery and Directed Queries.
Proceedings of the Pixelization Paradigm, First Visual Information Expert Workshop, 2006
Hybridization of Independent Component Analysis, Rough Sets, and Multi-Objective Evolutionary Algorithms for Classificatory Decomposition of Cortical Evoked Potentials.
Proceedings of the Pattern Recognition in Bioinformatics, International Workshop, 2006
Proceedings of the Advances in Visual Computing, Second International Symposium, 2006
Multi-objective evolutionary algorithms and rough sets for decomposition and analysis of cortical evoked potentials.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006
2000
Electrical synapses by guided growth of cultured neurons from the snail Lymnaea stagnalis.
Biol. Cybern., 2000