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
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;
Conference_Titel :
SICE Annual Conference (SICE), 2012 Proceedings of
Conference_Location :
Akita
Print_ISBN :
978-1-4673-2259-1
