Sharon M. Crook

Orcid: 0000-0003-1659-0749

Affiliations:
  • Arizona State University, Tempe, School of Mathematical and Statistical Sciences


According to our database1, Sharon M. Crook authored at least 27 papers between 1997 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
NeuroML-DB: Sharing and characterizing data-driven neuroscience models described in NeuroML.
PLoS Comput. Biol., March, 2023

2020
Using formative assessment for improving pedagogy: reflections on feedback informing database visualizations.
Inroads, 2020

Editorial: Reproducibility and Rigour in Computational Neuroscience.
Frontiers Neuroinformatics, 2020

2019
Harmonizing semantic annotations for computational models in biology.
Briefings Bioinform., 2019

2017
SNaReSim: Synthetic Nanopore Read Simulator.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

2016
Neuronal network models for sensory discrimination.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
An Animated Introduction to Relational Databases for Many Majors.
IEEE Trans. Educ., 2015

Drift-diffusion simulation of the ephaptic effect in the triad synapse of the retina.
J. Comput. Neurosci., 2015

Modeling the Influence of Ion Channels on Neuron Dynamics in Drosophila.
Frontiers Comput. Neurosci., 2015

Ontology-assisted keyword search for NeuroML models.
Proceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015

2014
Databases and Data Repositories in Computational Neuroscience: Overview.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

NeuroML.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Model Reproducibility: Overview.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

libNeuroML and PyLEMS: using Python to combine procedural and declarative modeling approaches in computational neuroscience.
Frontiers Neuroinformatics, 2014

LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2.
Frontiers Neuroinformatics, 2014

2013
Relating ion channel expression, bifurcation structure, and diverse firing patterns in a model of an identified motor neuron.
J. Comput. Neurosci., 2013

2011
Motoneuron model of self-sustained firing after spinal cord injury.
J. Comput. Neurosci., 2011

2010
NeuroML: A Language for Describing Data Driven Models of Neurons and Networks with a High Degree of Biological Detail.
PLoS Comput. Biol., 2010

2008
Computational Intelligence in Electrophysiology: Trends and Open Problems.
Proceedings of the Applications of Computational Intelligence in Biology: Current Trends and Open Problems, 2008

2007
MorphML: Level 1 of the NeuroML Standards for Neuronal Morphology Data and Model Specification.
Neuroinformatics, 2007

2004
Tools for neuroinformatic data exchange: an XML application for neuronal morphology data.
Neurocomputing, 2004

Modeling ion channels from the cricket cercal sensory system.
Neurocomputing, 2004

2003
Structural and biophysical mechanisms underlying dynamic sensitivity of primary sensory interneurons in the cricket cercal sensory system.
Neurocomputing, 2003

2002
Modeling frequency encoding in the cricket cercal sensory system.
Neurocomputing, 2002

1998
Spike Frequency Adaptation Affects the Synchronization Properties of Networks of Cortical Oscillator.
Neural Comput., 1998

Dendritic and Synaptic Effects in Systems of Coupled Cortical Oscillators.
J. Comput. Neurosci., 1998

1997
The Role of Axonal Delay in the Synchronization of Networks of Coupled Cortical Oscillators.
J. Comput. Neurosci., 1997


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