An algorithm for finding candidate synaptic sites in computer generated networks of neurons with realistic morphologies

An algorithm for finding candidate synaptic sites in computer generated networks of neurons with realistic morphologies

Neurons make synaptic connections at locations where axons and dendrites are sufficient close in space. Typically the required proximity is based on the dimensions of dendritic spines and axonal boutons. Based on this principle one can search those locations in networks formed by reconstructed neuro...

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Bibliographic Details
Main Authors: Jaap eVan Pelt, Andrew eCarnell, Sander eDe Ridder, Huibert D. Mansvelder, Arjen Van Ooyen
Format: Article
Language:English
Published: Frontiers Media S.A. 2010-11-01
Series:Frontiers in Computational Neuroscience
Subjects:
neuronal networks
Synaptic connectivity
line crossing
Neuronal morphology
spatial proximity
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2010.00148/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fncom.2010.00148/full

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