A stochastic model for interacting neurons in the olfactory bulb. (November 2019)

• Record Type: Journal Article
• Authors: Ascione, G.; Carfora, M.F.; Pirozzi, E.
• Is Part Of: Bio systems. Volume 185(2019)
• Publication Date: 2019-11
• Subjects: Coupled stochastic differential equations -- Gauss-Markov processes -- Modified Leaky Integrate-and-Fire model -- First spiking time probability density; Biological systems -- Periodicals; Biology -- Periodicals; Biology -- Periodicals; Evolution -- Periodicals; Biologie -- Périodiques; Évolution -- Périodiques; 570
• DOI: 10.1016/j.biosystems.2019.104030
• Languages: English
• ISSNs: 0303-2647

Abstract

Abstract: We focus on interacting neurons organized in a block-layered network devoted to the information processing from the sensory system to the brain. Specifically, we consider the firing activity of olfactory sensory neurons, periglomerular, granule and mitral cells in the context of the neuronal activity of the olfactory bulb. We propose and investigate a stochastic model of a layered and modular network to describe the dynamic behavior of each prototypical neuron, taking into account both its role (excitatory/inhibitory) and its location within the network. We adopt specific Gauss-Markov processes suitable to provide reliable estimates of the firing activity of the different neurons, given their linkages. Furthermore, we study the impact of selective excitation/inhibition on the information transmission by means of simulations and numerical estimates obtained through a Volterra integral approach.