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Sharon Crook

Affiliations: 
Arizona State University, Tempe, AZ, United States 
Area:
Mathematical Biology
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"Sharon Crook"
Mean distance: 13.88 (cluster 17)
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Parents

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James Bower grad student 1995-1998 University of Maryland

Children

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Justas Birgiolas grad student 2014- Arizona State
Vergil R. Haynes grad student 2016- Arizona State
Russell Jarvis grad student 2016- Arizona State
Mini Puthayathu Kurian grad student 2010 Arizona State
David Tello-Bravo grad student 2012 Arizona State
Dori Luli grad student 2013 Arizona State
Sandra Berger grad student 2014 Arizona State

Collaborators

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Richard C. Gerkin collaborator 2015- Arizona State
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Publications

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Haynes VR, Zhou Y, Crook SM. (2024) Discovering optimal features for neuron-type identification from extracellular recordings. Frontiers in Neuroinformatics. 18: 1303993
Birgiolas J, Haynes V, Gleeson P, et al. (2023) NeuroML-DB: Sharing and characterizing data-driven neuroscience models described in NeuroML. Plos Computational Biology. 19: e1010941
Eriksson O, Bhalla US, Blackwell KT, et al. (2022) Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows. Elife. 11
Gleeson P, Cantarelli M, Marin B, et al. (2019) Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits. Neuron
Neal ML, König M, Nickerson D, et al. (2018) Harmonizing semantic annotations for computational models in biology. Briefings in Bioinformatics
Gerkin RC, Jarvis RJ, Crook SM. (2018) Towards systematic, data-driven validation of a collaborative, multi-scale model of . Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 373
Birgiolas J, Jernigan CM, Gerkin RC, et al. (2017) SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware. Journal of Visualized Experiments : Jove
Samavat M, Luli D, Crook S. (2016) Neuronal Network Models for Sensory Discrimination. Conference Record. Asilomar Conference On Signals, Systems & Computers. 2016: 1066-1073
Sharpee TO, Destexhe A, Kawato M, et al. (2016) 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54
Birgiolas J, Jernigan CM, Smith BH, et al. (2016) SwarmSight: Measuring the temporal progression of animal group activity levels from natural-scene and laboratory videos. Behavior Research Methods
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