Sharon Crook

Professor
Faculty
TEMPE Campus
Mailcode
1804

Biography

Sharon Crook earned her doctorate in applied mathematics at the University of Maryland in College Park and performed her dissertation research with John Rinzel at the Mathematical Research Branch of the National Institutes of Health. While there she developed coupled oscillator models to represent the dynamics of the cortex in collaboration with Bard Ermentrout of the University of Pittsburgh. She then held a Postdoctoral Fellowship at the Center for Computational Biology at Montana State University with John Miller and Gwen Jacobs. There she performed joint work in neurophysiology, mathematical modeling, and neuroinformatics.

Professor Crook now holds a joint appointment with the School of Mathematical and Statistical Sciences and the School of Life Sciences at Arizona State University. She uses computational approaches to study the dynamics of neurons and networks of neurons, as well as the mechanisms underlying changes in these cells and networks due to trauma, learning, or disease. She also contributes to the development of NeuroML, an international effort to create a common standard for describing computational models for neuroscience research.  NeuroML is part of an ecosystem of tools to promote reproducibility, model sharing, and community-based collaborative model development in computational neuroscience research.

Education

Ph.D. Applied Mathematics, University of Maryland-College Park 1996

Research Interests

Sharon Crook studies the mechanisms and algorithms underlying neural computation. Using mathematical models, analysis and computer simulations, she and her research team examine the dynamics of neurons and networks of neurons. In particular, their focus is on understanding the ability that neurons have to change at a cellular or network level due to trauma, rehabilitation, learning, development, or aging.

Professor Crook and her collaborators are also developing a cyber infrastructure for describing and sharing neuroscience models, as well as new formats to describe neuron anatomy at macro and micro levels, neural network connectivity, and the membrane properties of neurons. This approach is used by software applications to help reproduce simulations of complex models and share models after publication.

 

 

Publications

  • Selected Peer-reviewed Publications 

    Berger, S, S Crook (2015) Modeling the influence of ion channels on neuron dynamics in Drosophila. Frontiers in Computational Neuroscience. 9:139. doi:10.3389/fncom/2015.00139.

    Birgiolas, J, S Dietrich, S Crook, A Rajadesingan, C Zhang, S Velugoti Penchala, V Addepalli (2015) Ontology-assisted keyword search for NeuroML models. In Amarnath Gupta and Susan Rathbun, Eds, Proceedings of the 27th International Conference on Scientific and Statistical Database Management, ACM, New York, NY. Article 37. doi=10.1145/2791347.2791360.

    Gardner, C, JR Jones, SM Baer, SM Crook (2014) Drift-diffusion simulation of the ephaptic effect in the triad synapse of the retina. Journal of Computational Neuroscience. 38:129-142.PubMed

    Cannon, RC, P Gleeson, S Crook, G Gnapathy, B Marin, E Piasini, RA Silver (2014) LEMS: A language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2. Frontiers in Neuroinformatics. 8:79. PubMed

    Vella, M, RC Cannon, S Crook, AP Davison, G Ganapathy, HPC Robinson, RA Silver, P Gleeson (2014) libNeuroML and PyLEMS: using Python to combine procedural and declarative modeing approaches in computational neuroscience. Frontiers in Neuroinformatics. 8:38. PubMed

    Crook, SM, JA Bednar, SD Berger, RC Cannon, AP Davison, M Djurfeldt, J Eppler, B Kriener, S Furber, B Graham, M Hull, HE Plesser, L Schwabe, L Smith, V Steuber, S van Albada (2012) Creating, documenting and sharing network models. Network: Computation in Neural Systems.23(4):131-149. PubMed

    Kurian, M, SM Crook, R Jung (2011) Motoneuron models of self-sustained firing after spinal cord injury. Journal of Computational Neuroscience. 31(3):625-645. PubMedModelDB

    Gleeson, P, S Crook, R Cannon, M Hines, G Billings, M Farinella, TM Morse, A Davison, S Ray, U Bhalla, SR Barnes, YD Dimitrova and RA Silver (2010) NeuroML: a simulator-independent language for describing data-driven models of neurons and networks with a high degree of biological realism. PLoS Computational Biology. 6(6): e1000815. PubMed

    Crook SM, M Dur-e-Ahmad and SM Baer (2007) A model of activity-dependent changes in dendritic spine density and spine structure. Mathematical Biosciences and Engineering. 4(4):617-631. PubMedModelDB

    Crook, S, P Gleeson, F Howell, J Svitak and RA Silver (2007) MorphML: Level 1 of the NeuroML standards for neuronal morphology data and model specification. Neuroinformatics. 5(2):96-104. PubMed

    Selected Book Chapters 

    Crook, S, HE Plesser, A Davison (2013) Lessons from the past: approaches for reproducibility in computational neuroscience. In JM Bower, ed. 20 Years of Computational Neuroscience, Springer.

    Gleeson, P, V Steuber, RA Silver and S Crook (2012) NeuroML. In Le Novere, ed. Computational Systems Biology, Springer.

    Venugopal, S, S Crook, M Srivatsan and R Jung (2011) Principles of computational neuroscience. In Jung, ed. Biomimetic and Biohybrid Living-Hardware Systems, Wiley.

    Crook, S and F Howell (2007) XML for data representation and model specification in neuroscience. in Crasto, ed. Methods in Molecular Biology Book Series: Neuroinformatics, Humana Press. PubMed

     

Research Activity

Courses

Summer 2018
Course Number Course Title
APM 792 Research
Spring 2018
Course Number Course Title
MBB 355 Intro to Computation Molec Bio
MAT 355 Intro to Computation Molec Bio
BIO 355 Intro to Computation Molec Bio
BIO 493 Honors Thesis
APM 792 Research
AML 792 Research
CSE 792 Research
AML 799 Dissertation
APM 799 Dissertation
Fall 2017
Course Number Course Title
MAT 451 Mathematical Modeling
APM 792 Research
Summer 2017
Course Number Course Title
APM 792 Research
Spring 2017
Course Number Course Title
MBB 355 Intro to Computation Molec Bio
MAT 355 Intro to Computation Molec Bio
BIO 355 Intro to Computation Molec Bio
BIO 493 Honors Thesis
APM 792 Research
AML 792 Research
CSE 792 Research
AML 799 Dissertation
APM 799 Dissertation
Fall 2016
Course Number Course Title
MAT 451 Mathematical Modeling
BIO 492 Honors Directed Study
APM 792 Research
Summer 2016
Course Number Course Title
APM 792 Research
Spring 2016
Course Number Course Title
MBB 355 Intro to Computation Molec Bio
MAT 355 Intro to Computation Molec Bio
BIO 355 Intro to Computation Molec Bio
MAT 493 Honors Thesis
CSE 790 Reading and Conference
APM 792 Research
CSE 792 Research
AML 792 Research
AML 799 Dissertation
APM 799 Dissertation
Fall 2015
Course Number Course Title
BIO 189 Life Sciences Career Paths
MAT 451 Mathematical Modeling
APM 792 Research
Summer 2015
Course Number Course Title
APM 792 Research
Spring 2015
Course Number Course Title
MAT 355 Intro to Computation Molec Bio
BIO 355 Intro to Computation Molec Bio
MBB 355 Intro to Computation Molec Bio
MAT 493 Honors Thesis
APM 530 Mathematical Cell Physiology.
CSE 790 Reading and Conference
APM 790 Reading and Conference
CSE 792 Research
APM 792 Research
AML 792 Research
APM 799 Dissertation
AML 799 Dissertation
Fall 2014
Course Number Course Title
MAT 243 Discrete Math Structures
MAT 492 Honors Directed Study
APM 792 Research
Summer 2014
Course Number Course Title
APM 792 Research
Spring 2014
Course Number Course Title
MBB 355 Intro to Computation Molec Bio
MAT 355 Intro to Computation Molec Bio
BIO 355 Intro to Computation Molec Bio
CSE 790 Reading and Conference
APM 790 Reading and Conference
CSE 792 Research
AML 792 Research
AML 799 Dissertation
Fall 2013
Course Number Course Title
MAT 243 Discrete Math Structures
AML 792 Research