Synaptic plasticity and neuronal refractory time cause scaling behaviour of neuronal avalanches (bibtex)
by Michiels van Kessenich Laurens, DE ARCANGELIS Lucilla, Herrmann Hans
Abstract:
Neuronal avalanches measured in vitro and in vivo in different cortical networks consistently exhibit power law behaviour for the size and duration distributions with exponents typical for a mean field self-organized branching process. These exponents are also recovered in neuronal network simulations implementing various neuronal dynamics on different network topologies. They can therefore be considered a very robust feature of spontaneous neuronal activity. Interestingly, this scaling behaviour is also observed on regular lattices in finite dimensions, which raises the question about the origin of the mean field behavior observed experimentally. In this study we provide an answer to this open question by investigating the effect of activity dependent plasticity in combination with the neuronal refractory time in a neuronal network. Results show that the refractory time hinders backward avalanches forcing a directed propagation. Hebbian plastic adaptation plays the role of sculpting these directed avalanche patterns into the topology of the network slowly changing it into a branched structure where loops are marginal.
Reference:
Synaptic plasticity and neuronal refractory time cause scaling behaviour of neuronal avalanches (Michiels van Kessenich Laurens, DE ARCANGELIS Lucilla, Herrmann Hans), In SCIENTIFIC REPORTS, volume 6, 2016. (Articolo in rivista)
Bibtex Entry:
@article{lau16,
author = {Michiels van Kessenich Laurens, and DE ARCANGELIS Lucilla, and Herrmann Hans,},
pages = {1-7},
title = {Synaptic plasticity and neuronal refractory time cause scaling behaviour of neuronal avalanches},
volume = {6},
note = {Articolo in rivista},
issn = {2045-2322},
journal = {SCIENTIFIC REPORTS},
doi = {10.1038/srep32071},
year = {2016},
wosId = {WOS:000381606200001},
abstract = {Neuronal avalanches measured in vitro and in vivo in different cortical networks consistently exhibit
power law behaviour for the size and duration distributions with exponents typical for a mean field
self-organized branching process. These exponents are also recovered in neuronal network simulations
implementing various neuronal dynamics on different network topologies. They can therefore be
considered a very robust feature of spontaneous neuronal activity. Interestingly, this scaling behaviour
is also observed on regular lattices in finite dimensions, which raises the question about the origin of the
mean field behavior observed experimentally. In this study we provide an answer to this open question
by investigating the effect of activity dependent plasticity in combination with the neuronal refractory
time in a neuronal network. Results show that the refractory time hinders backward avalanches forcing
a directed propagation. Hebbian plastic adaptation plays the role of sculpting these directed avalanche
patterns into the topology of the network slowly changing it into a branched structure where loops are
marginal.}
}
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