Spontaneous synchronized bursting in 2D neural networks

Ronen Segev; Eshel Ben-Jacob

doi:10.1016/S0378-4371(01)00441-1

Spontaneous synchronized bursting in 2D neural networks

Ronen Segev, Eshel Ben-Jacob

Research output: Contribution to journal › Conference article › peer-review

19 Scopus citations

Abstract

We present a long-term (hours) measurements of the spontaneous activity of cortical cells 2D neural network placed on multi-electrodes arrays. We compare the histogram of the single neurons inter spike interval and the network inter synchronized bursting events interval. In addition, the effect of Ca concentration on the network activity is being studied. Under 1 mM Ca concentration the network exhibits periodic synchronized bursting. We present a novel feedback regulated integrate & fire model to account of the observations. In the model we include two additional features of dynamical threshold and synapses fatigue.

Original language	English
Pages (from-to)	64-69
Number of pages	6
Journal	Physica A: Statistical Mechanics and its Applications
Volume	302
Issue number	1-4
DOIs	https://doi.org/10.1016/S0378-4371(01)00441-1
State	Published - 15 Dec 2001
Externally published	Yes
Event	International Workshop on Frontiers in the Physics of Complex Systems - Ramat-Gan, Israel Duration: 25 Mar 2001 → 28 Mar 2001

Keywords

In vitro
Integrate & fire model
Neural networks
Synchronized bursting

ASJC Scopus subject areas

Statistics and Probability
Condensed Matter Physics

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10.1016/S0378-4371(01)00441-1

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title = "Spontaneous synchronized bursting in 2D neural networks",

abstract = "We present a long-term (hours) measurements of the spontaneous activity of cortical cells 2D neural network placed on multi-electrodes arrays. We compare the histogram of the single neurons inter spike interval and the network inter synchronized bursting events interval. In addition, the effect of Ca concentration on the network activity is being studied. Under 1 mM Ca concentration the network exhibits periodic synchronized bursting. We present a novel feedback regulated integrate & fire model to account of the observations. In the model we include two additional features of dynamical threshold and synapses fatigue.",

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AU - Segev, Ronen

AU - Ben-Jacob, Eshel

PY - 2001/12/15

Y1 - 2001/12/15

N2 - We present a long-term (hours) measurements of the spontaneous activity of cortical cells 2D neural network placed on multi-electrodes arrays. We compare the histogram of the single neurons inter spike interval and the network inter synchronized bursting events interval. In addition, the effect of Ca concentration on the network activity is being studied. Under 1 mM Ca concentration the network exhibits periodic synchronized bursting. We present a novel feedback regulated integrate & fire model to account of the observations. In the model we include two additional features of dynamical threshold and synapses fatigue.

AB - We present a long-term (hours) measurements of the spontaneous activity of cortical cells 2D neural network placed on multi-electrodes arrays. We compare the histogram of the single neurons inter spike interval and the network inter synchronized bursting events interval. In addition, the effect of Ca concentration on the network activity is being studied. Under 1 mM Ca concentration the network exhibits periodic synchronized bursting. We present a novel feedback regulated integrate & fire model to account of the observations. In the model we include two additional features of dynamical threshold and synapses fatigue.

KW - In vitro

KW - Integrate & fire model

KW - Neural networks

KW - Synchronized bursting

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U2 - 10.1016/S0378-4371(01)00441-1

DO - 10.1016/S0378-4371(01)00441-1

M3 - Conference article

AN - SCOPUS:0035894726

SN - 0378-4371

VL - 302

SP - 64

EP - 69

JO - Physica A: Statistical Mechanics and its Applications

JF - Physica A: Statistical Mechanics and its Applications

IS - 1-4

T2 - International Workshop on Frontiers in the Physics of Complex Systems

Y2 - 25 March 2001 through 28 March 2001

ER -

Spontaneous synchronized bursting in 2D neural networks

Abstract

Keywords

ASJC Scopus subject areas

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