Growth of cortical neuronal network in vitro: Modeling and analysis

Pik Yin Lai, L. C. Jia, C. K. Chan

Research output: Contribution to journalArticlepeer-review

19 Scopus citations


We present a detailed analysis and theoretical growth models to account for recent experimental data on the growth of cortical neuronal networks in vitro. The experimentally observed synchronized firing frequency of a well-connected neuronal network is shown to be proportional to the mean network connectivity. The growth of the network is consistent with the model of an early enhanced growth of connection, but followed by a retarded growth once the synchronized cluster is formed. Microscopic models with dominant excluded volume interactions are consistent with the observed exponential decay of the mean connection probability as a function of the mean network connectivity. The biological implications of the growth model are also discussed.

Original languageEnglish
Article number051906
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Issue number5
StatePublished - 2006


Dive into the research topics of 'Growth of cortical neuronal network in vitro: Modeling and analysis'. Together they form a unique fingerprint.

Cite this