Details

Autor(en) / Beteiligte

• Lv, Zhi-Song
• Zhu, Chen-Ping
• Nie, Pei
• Zhao, Jing
• Yang, Hui-Jie
• Wang, Yan-Jun
• Hu, Chin-Kun

Titel

Exponential distance distribution of connected neurons in simulations of two-dimensional in vitro neural network development

Ist Teil von

• Frontiers of physics, 2017-06, Vol.12 (3), p.133-138, Article 128902

Ort / Verlag

Beijing: Higher Education Press

Erscheinungsjahr

2017

Link zum Volltext

Quelle

SpringerLink (Online service)

Beschreibungen/Notizen

• The distribution of the geometric distances of connected neurons is a practical factor underlying neural networks in the brain. It can affect the brain＇s dynamic properties at the ground level. Karbowski derived a power-law decay distribution that has not yet been verified by experiment. In this work, we check its validity using simulations with a phenomenological model. Based on the in vitro two- dimensional development of neural networks in culture vessels by Ito, we match the synapse number saturation time to obtain suitable parameters for the development process, then determine the distri-bution of distances between connected neurons under such conditions. Our simulations obtain a clear exponential distribution instead of a power-law one, which indicates that Karbowski＇s conclusion is invalid, at least for the case of in vitro neural network development in two-dimensional culture vessels.