Bursting in excitatory neural networks

Joël Tabak, John Rinzel

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Rhythmic activities underly many crucial functions such as locomotion, respiration, secretion, etc. Models of network rhythmicity have generally included cellular oscillators or inhibitory connections between antagonistic centers. Here, we present a model of the spontaneous episodicactivity in developing spinal cord networks that include neither of these two components. This model only represents the averaged activity and excitability in the network, assumed purely excitatory. In our model, positive feedback through excitatory connections generates episodes of activity, which are terminated by a slow, activity-dependent depression of network activity (slow negative feedback). This idealized model allowed a qualitative understanding of the network dynamics which lead to prediction and comprehension of experimental observations. Although the complexity of the system has been restricted to the interactions between fast positive and slow negative feedback, the emergent feature of the network rhythm was captured, and it applies to many developinglexcitatory networks. Finally, we show that this model of network rhythmicity behaves similarly to models of repetitive bursting in single cells.

Original languageEnglish (US)
Title of host publicationBursting
Subtitle of host publicationThe Genesis of Rhythm in the Nervous System
PublisherWorld Scientific Publishing Co.
Pages273-302
Number of pages30
ISBN (Electronic)9789812703231
ISBN (Print)981256506X, 9789812565068
DOIs
StatePublished - Jan 1 2005

ASJC Scopus subject areas

  • Medicine(all)

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    Tabak, J., & Rinzel, J. (2005). Bursting in excitatory neural networks. In Bursting: The Genesis of Rhythm in the Nervous System (pp. 273-302). World Scientific Publishing Co.. https://doi.org/10.1142/9789812703231_0011