Title
Reconstruction and simulation for three-dimensional morphological structure of insect neurons
Abstract
We present a system for the reconstruction three-dimensional morphological structure of a neuron from a sequence of tomographic images acquired by a confocal laser scanning microscope. In this system, the branching structure and diameter of dendrites are extracted by the Single-Seed Distance Transform method. Compartmental neuron models are reconstructed using the morphological structure detected by our system. In order to analyze electrical properties, a model description for the neuronal simulator, NEURON, is generated automatically. The effectiveness of the proposed system is shown by application to the reconstruction of interneurons in an antennal lobe of silkworm moths.
Year
DOI
Venue
2006
10.1016/j.neucom.2005.12.042
Neurocomputing
Keywords
Field
DocType
compartmental neuron model,reconstruction three-dimensional morphological structure,electrical property,model description,antennal lobe,confocal laser,morphological structure,insect neuron,proposed system,neuronal simulator,single-seed distance transform method,distance transform,three dimensional
Computer vision,Pattern recognition,Distance transform,Artificial intelligence,Neuron,Confocal laser scanning microscope,Antennal lobe,Mathematics,Branching (version control)
Journal
Volume
Issue
ISSN
69
10-12
Neurocomputing
Citations 
PageRank 
References 
9
1.47
3
Authors
5
Name
Order
Citations
PageRank
Takayuki Yamasaki191.47
Teijiro Isokawa227145.52
N. Matsui354289.89
Hidetoshi Ikeno44011.24
Ryohei Kanzaki55118.59