Stability Analysis of Asynchronous States in Neuronal Networks with Conductance-Based Inhibition

Leibold, Christian (11. November 2004): Stability Analysis of Asynchronous States in Neuronal Networks with Conductance-Based Inhibition. In: Physical Review Letters, Vol. 93, No. 20: p. 208104

Abstract

Oscillations in networks of inhibitory interneurons have been reported at various sites of the brain and are thought to play a fundamental role in neuronal processing. This Letter provides a self-contained analytical framework that allows numerically efficient calculations of the population activity of a network of conductance-based integrate-and-fire neurons that are coupled through inhibitory synapses. Based on a normalization equation this Letter introduces a novel stability criterion for a network state of asynchronous activity and discusses its perturbations. The analysis shows that, although often neglected, the reversal potential of synaptic inhibition has a strong influence on the stability as well as the frequency of network oscillations.

• Item Type: Journal article
• Form of publication: Publisher's Version
• Faculties: Biology > Department Biology II > Neurobiology
• Subjects: 500 Science > 570 Life sciences; biology
• ISSN: 1079-7114
• Annotation: © 2004 The American Physical Society
• Language: English