Dynamic transitions among multiple oscillators of synchronized bursts in cultured neural networks

June Hoan Kim, Ryoun Heo, Joon Ho Choi, Kyoung Jin Lee

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Synchronized neural bursts are a salient dynamic feature of biological neural networks, having important roles in brain functions. This report investigates the deterministic nature behind seemingly random temporal sequences of inter-burst intervals generated by cultured networks of cortical cells. We found that the complex sequences were an intricate patchwork of several noisy 'burst oscillators', whose periods covered a wide dynamic range, from a few tens of milliseconds to tens of seconds. The transition from one type of oscillator to another favored a particular passage, while the dwelling time between two neighboring transitions followed an exponential distribution showing no memory. With different amounts of bicuculline or picrotoxin application, we could also terminate the oscillators, generate new ones or tune their periods.

Original languageEnglish
Article numberP04019
JournalJournal of Statistical Mechanics: Theory and Experiment
Volume2014
Issue number4
DOIs
Publication statusPublished - 2014 Jan 1

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Burst
bursts
oscillators
Neural Networks
Biological Networks
Dynamic Range
Terminate
Exponential distribution
dynamic range
brain
intervals
Interval
Cell
cells
Neural networks
Transition dynamics
Nature

Keywords

  • dynamics (experiment)
  • neuronal networks (experiment)

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistical and Nonlinear Physics
  • Statistics, Probability and Uncertainty

Cite this

Dynamic transitions among multiple oscillators of synchronized bursts in cultured neural networks. / Kim, June Hoan; Heo, Ryoun; Choi, Joon Ho; Lee, Kyoung Jin.

In: Journal of Statistical Mechanics: Theory and Experiment, Vol. 2014, No. 4, P04019, 01.01.2014.

Research output: Contribution to journalArticle

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