Predicting Axonal Response to Molecular Gradients with a Computational Model of Filopodial Dynamics

DOI10.1162/0899766041941934zbMath1054.92011OpenAlexW2165691757WikidataQ51986984 ScholiaQ51986984MaRDI QIDQ4832449

Jeffrey Urbach, Geoffrey J. Goodhill, Ming Gu

Publication date: 4 January 2005

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://authors.library.caltech.edu/26582/

Mathematics Subject Classification ID

Neural biology (92C20)

Related Items (5)

Mathematical modeling of axonal formation. I: geometry ⋮ Biomimetic IGA neuron growth modeling with neurite morphometric features and CNN-based prediction ⋮ A stochastic model of neuronal growth cone guidance regulated by multiple sensors ⋮ Optimizing chemotaxis by measuring unbound-bound transitions ⋮ Little Tom Thumb among cells: seeking the cues of life

Cites Work

• Stochastic model of leukocyte chemosensory movement

This page was built for publication: Predicting Axonal Response to Molecular Gradients with a Computational Model of Filopodial Dynamics