Balance between excitation and inhibition controls the temporal organization of neuronal avalanches

Lombardi F; Herrmann HJ; Perrone Capano C; Plenz D; DE ARCANGELIS Lucilla

by Lombardi F, Herrmann HJ, Perrone Capano C, Plenz D, DE ARCANGELIS Lucilla

Abstract:

Neuronal avalanches, measured in vitro and in vivo, exhibit a robust critical behavior. Their temporal organization hides the presence of correlations. Here we present experimental measurements of the waiting time distribution between successive avalanches in the rat cortex in vitro. This exhibits a nonmonotonic behavior not usually found in other natural processes. Numerical simulations provide evidence that this behavior is a consequence of the alternation between states of high and low activity, named up and down states, leading to a balance between excitation and inhibition controlled by a single parameter. During these periods, both the single neuron state and the network excitability level, keeping memory of past activity, are tuned by homeostatic mechanisms.

Reference:

Balance between excitation and inhibition controls the temporal organization of neuronal avalanches (Lombardi F, Herrmann HJ, Perrone Capano C, Plenz D, DE ARCANGELIS Lucilla), In PHYSICAL REVIEW LETTERS, volume 108, 2012. (Articolo in rivista)

Bibtex Entry:

@article{fab12,
author = {Lombardi F, and Herrmann HJ, and Perrone Capano C, and Plenz D, and DE ARCANGELIS Lucilla,},
pages = {228703-1-228703-5},
title = {Balance between excitation and inhibition controls
the temporal  organization of neuronal avalanches},
volume = {108},
note = {Articolo in rivista},
issn = {0031-9007},
journal = {PHYSICAL REVIEW LETTERS},
year = {2012},
wosId = {WOS:000304658400026},
scopusId = {2-s2.0-84861815486},
abstract = {Neuronal avalanches, measured in vitro and in vivo, exhibit a robust critical behavior. Their temporal
organization hides the presence of correlations. Here we present experimental measurements of the
waiting time distribution between successive avalanches in the rat cortex in vitro. This exhibits a
nonmonotonic behavior not usually found in other natural processes. Numerical simulations provide
evidence that this behavior is a consequence of the alternation between states of high and low activity,
named up and down states, leading to a balance between excitation and inhibition controlled by a single
parameter. During these periods, both the single neuron state and the network excitability level, keeping
memory of past activity, are tuned by homeostatic mechanisms.}
}