Modeling of Synchronized Burst in Dissociated Cortical Tissue: An Exploration of Parameter Space
Il Park
Dongming Xu
DeMarse, T.B.
Principe, J.C.
Florida Univ., Gainesville;
This paper appears in: Neural Networks, 2006. IJCNN '06. International Joint Conference on
Publication Date: 0-0 0
On page(s): 581-586
Location: Vancouver, BC,
ISBN: 0-7803-9490-9
INSPEC Accession Number: 9722896
Digital Object Identifier: 10.1109/IJCNN.2006.246734
Current Version Published: 2006-10-30
Abstract
In vitro neuronal culture is a potentially powerful tool for investigation of information processing of neurons. However, in a mature dissociated neuronal culture, synchronized bursting is often observed. Bursting strongly drives the dynamics of the network, thus making it difficult to investigate the computational properties. A quantitative modeling of the dynamics would provide a means for understanding the processes that produce bursts and a means to manipulate the dynamics to control them. A simulated network composed of leaky integrate and Are neurons and dynamic synapses is used to model the phenomenon. We investigate the variability of burst dynamics according to parameters such as connectivity, recovery time constant, and noise.
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