Paper Info
Title
Some analysis on the network of bursting neurons: quantifying behavioral synchronization
Abstract
There are numerous families of Neural Networks (NN) used in the study and development of the field of Artificial Intelligence (AI). One of the more recent NNs involves the Bursting neuron, pioneered by Rulkov. The latter has the desirable property that it can also be used to model a system (for example, the "brain") which switches between modes in which the activity is excessive ("bursty"), to the alternate case when the system is "dormant". This paper, which we believe is a of pioneering sort, derives some of the analytic properties of the Bursting neuron, and the associated NN. To be more specific, the model proposed by Rulkov [11] explains the so-called "bursting" phenomenon in the system (brain), in which a low frequency pulse output serves as an envelope of high frequency spikes. Although various models for bursting have been proposed, Rulkov's model seems to be the one that is both analytically tractable and experimentally meaningful. In this paper, we show that a "small" scale network consisting of Bursting neurons rapidly converges to a synchronized behavior implying that increasing the number of neurons does not contribute significantly to the synchronization of the individual Bursting neurons. The consequences of such a conclusion lead to a phenomenon that we call "behavioral synchronization".
Year
DOI
Venue
2007
10.1007/978-3-540-76928-6_13
Australian Conference on Artificial Intelligence
Keywords
Field
DocType
neural networks,artificial intelligence,associated nn,individual bursting neuron,alternate case,various model,high frequency spike,bursting neuron,low frequency pulse output,behavioral synchronization,neural network,high frequency,artificial intelligent,low frequency
Bursting,Synchronization,Computer science,sort,Theta model,Artificial intelligence,Phenomenon,Artificial neural network,Neuron
Conference
Volume
ISSN
ISBN
4830
0302-9743
3-540-76926-9
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Dragos Calitoiu1226.91
John B. Oommen2132.48
Doron Nussbaum38913.49