Astrid A. Prinz

According to our database1, Astrid A. Prinz authored at least 22 papers between 2000 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




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

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

Neuronal Model Optimization.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Rough Sets and Neuroscience.
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

Co-variation of ionic conductances supports phase maintenance in stomatogastric neurons.
J. Comput. Neurosci., 2012

Input-to-output transformation in a model of the rat hippocampal CA1 network.
Frontiers Comput. Neurosci., 2012

Responses of a bursting pacemaker to excitation reveal spatial segregation between bursting and spiking mechanisms.
J. Comput. Neurosci., 2011

Conductance Ratios and Cellular Identity.
PLoS Comput. Biol., 2010

Geometry and dynamics of activity-dependent homeostatic regulation in neurons.
J. Comput. Neurosci., 2010

Rough Sets for Solving Classification Problems in Computational Neuroscience.
Proceedings of the Rough Sets and Current Trends in Computing, 2010

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

Neuronal parameter optimization.
Scholarpedia, 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

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

Combining Pixelization and Dimensional Stacking.
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

Electrical synapses by guided growth of cultured neurons from the snail Lymnaea stagnalis.
Biol. Cybern., 2000