Changing excitation and inhibition in simulated neural networks: effects on induced bursting behavior |
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Authors: | Pawel Kudela Piotr J Franaszczuk Gregory K Bergey |
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Institution: | (1) Department of Neurology, Johns Hopkins Epilepsy Center, Johns Hopkins University School of Medicine, Meyer 2-147, 600 North Wolfe Street, Baltimore, MD 21287, USA, US |
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Abstract: | The development of synchronous bursting in neuronal ensembles represents an important change in network behavior. To determine
the influences on development of such synchronous bursting behavior we study the dynamics of small networks of sparsely connected
excitatory and inhibitory neurons using numerical simulations. The synchronized bursting activities in networks evoked by
background spikes are investigated. Specifically, patterns of bursting activity are examined when the balance between excitation
and inhibition on neuronal inputs is varied and the fraction of inhibitory neurons in the network is changed. For quantitative
comparison of bursting activities in networks, measures of the degree of synchrony are used. We demonstrate how changes in
the strength of excitation on inputs of neurons can be compensated by changes in the strength of inhibition without changing
the degree of synchrony in the network. The effects of changing several network parameters on the network activity are analyzed
and discussed. These changes may underlie the transition of network activity from normal to potentially pathologic (e.g.,
epileptic) states.
Received: 21 May 2002 / Accepted in revised form: 3 December 2002 / Published online: 7 March 2003
Correspondence to: P. Kudela (e-mail: pkudela@jhmi.edu)
Acknowledgements. This research was supported by NIH grant NS 38958. |
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