Prediction of synaptic properties of neural network of Caenorhabditis elegans

Prediction of synaptic properties of neural network of Caenorhabditis elegans

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 wer...

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Bibliographische Detailangaben
Hauptverfasser: Sakata, K., Akita, H., Iwasaki, Y., Wakabayashi, T., Ogurusu, T.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Biological neural networks
Caenorhabditis elegans
Chemicals
Computational modeling
Computer simulation
Educational institutions
neural network
Neurons
Optimization
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Zusammenfassung: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.