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.
%0 Journal Article
%1 SEG02
%A Segev, Ronen
%A Benveniste, Morris
%A Hulata, Eyal
%A Cohen, Netta
%A Palevski, A.
%A Kapon, E.
%A Shapira, Yoash
%A Ben-Jacob, E.
%D 2002
%J Phys.~Rev.~Lett.
%K bioelectric lithography; nets; neural neurophysiology; phenomena; scaling self-adjusting synchronisation systems;
%N 11
%P 118102
%R 10.1103/physrevlett.88.118102
%T Long Term Behavior of Lithographically Prepared In Vitro Neuronal Networks
%V 88
%X 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.
@article{SEG02,
abstract = {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 L{\'e}vy 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.},
added-at = {2009-03-03T17:19:04.000+0100},
author = {Segev, Ronen and Benveniste, Morris and Hulata, Eyal and Cohen, Netta and Palevski, A. and Kapon, E. and Shapira, Yoash and Ben-Jacob, E.},
biburl = {https://www.bibsonomy.org/bibtex/251b7b15949ce943d1915e97a745a0d5d/bronckobuster},
doi = {10.1103/physrevlett.88.118102},
eid = {118102},
interhash = {b172bc74d923c7487ed67e2ffa4c2013},
intrahash = {51b7b15949ce943d1915e97a745a0d5d},
journal = {Phys.~Rev.~Lett.},
keywords = {bioelectric lithography; nets; neural neurophysiology; phenomena; scaling self-adjusting synchronisation systems;},
number = 11,
numpages = {4},
pages = 118102,
timestamp = {2009-03-03T17:20:07.000+0100},
title = {Long Term Behavior of Lithographically Prepared In Vitro Neuronal Networks},
volume = 88,
year = 2002
}