Morphological Determinants of Neuronal Excitability
A planned senior-year project connecting morphology curation, public Allen Institute cell data, and NEURON simulations into one computational neuroscience portfolio piece.
Planned senior-year project integrating NeuroMorpho.org neuronal reconstructions, Allen Institute Cell Types morphology and electrophysiology data, and NEURON simulations to study how neuronal structure relates to excitability.
A planned senior-year project connecting morphology curation, public Allen Institute cell data, and NEURON simulations into one computational neuroscience portfolio piece.
I support NeuroMorpho.org through literature mining and neuroinformatics data curation for digitally reconstructed neurons and glia, with emphasis on reconstruction evidence, tracing methods, metadata quality, and data-source availability.
Evaluated scientific articles for evidence of bifurcating, skeletonized neuronal or glial reconstructions. Identified reconstruction and tracing methods including Neurolucida, Imaris Filament Tracer, Amira, Vaa3D, Simple Neurite Tracer, and related tools.
Reviewed figures, captions, supplementary materials, data availability statements, and repository links to determine whether reconstruction data were accessible. Classified articles as positive, negative, inaccessible, or shared-source based on reconstruction evidence and metadata standards.
Documented reconstruction details, tracing methods, confidence levels, DOI/PMID links, author information, and data-source availability. Developed experience with neuroscience metadata curation, morphology-focused literature review, scientific data provenance, and quality control for large-scale neuroinformatics resources.
The project section emphasizes work that supports my target direction: computational neuroscience, scientific data analysis, NEURON modeling, and neuroinformatics.
Planned senior-year project integrating NeuroMorpho.org neuronal reconstructions, Allen Institute Cell Types morphology and electrophysiology data, and NEURON simulations to study how neuronal structure relates to excitability.
Built a biophysical neuron simulator using the Hodgkin-Huxley mathematical framework, investigated how sodium and potassium conductance parameters shape spike behavior, and validated outputs against NEURON for numerical and biological realism.
A neuroscience foundation with increasing emphasis on data mining, computational modeling, and neuroinformatics.
I am interested in computational neuroscience, neuroinformatics, morphology data, scientific data curation, and neuroscience modeling roles.