DocumentCode
575388
Title
Prediction of synaptic properties of neural network of Caenorhabditis elegans
Author
Sakata, Kazumi ; Akita, Hiroki ; Iwasaki, Yuishi ; Wakabayashi, Tokumitsu ; Ogurusu, Tarou
Author_Institution
Fac. of Eng., Iwate Univ., Iwate, Japan
fYear
2012
fDate
20-23 Aug. 2012
Firstpage
787
Lastpage
790
Abstract
Caenorhabditis elegans is one of the most ivestigated model organisms. The connections in its neural network were determined. However, almost all synaptic properties being excitatory or inhibitory are not determined. Synaptic properties of C. elegans were predicted with computer simulation. They were obtained for the combinations of environmental stimuli and responses to stimuli. Most of synaptic properties obtained by simulation are similar to those obtained by laser ablation experiment.
Keywords
biology computing; neural nets; neurophysiology; Caenorhabditis elegans; computer simulation; environmental stimuli; excitatory synaptic properties; inhibitory synaptic properties; laser ablation experiment; neural network; synaptic properties prediction; Biological neural networks; Chemicals; Computational modeling; Computer simulation; Educational institutions; Neurons; Optimization; Caenorhabditis elegans; Computer simulation; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE Annual Conference (SICE), 2012 Proceedings of
Conference_Location
Akita
ISSN
pending
Print_ISBN
978-1-4673-2259-1
Type
conf
Filename
6318547
Link To Document