We measured the long term spontaneous electrical activity of neuronal networks with different sizes, grown on lithographically prepared substrates and recorded with multi-electrode-array technology. The time sequences of synchronized bursting events were used to characterize network dynamics. All networks exhibit scale-invariant Lévy distributions and long-range correlations. These observations suggest that different-size networks self-organize to adjust their activities over many time scales. As predictions of current models differ from our observations, this calls for revised models.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1103/PhysRevLett.88.118102 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!