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 language | English |
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Article number | P04019 |
Journal | Journal of Statistical Mechanics: Theory and Experiment |
Volume | 2014 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2014 Apr |
Keywords
- dynamics (experiment)
- neuronal networks (experiment)
ASJC Scopus subject areas
- Statistical and Nonlinear Physics
- Statistics and Probability
- Statistics, Probability and Uncertainty