A new real-time analog circuit of Ca2+ Li-Rinzel astrocyte model based on analytical method. (21st August 2022)

• Record Type: Journal Article
• Authors: Khosravi, Ali; Karimi, Gholamreza
• Is Part Of: Journal of theoretical biology. Volume 547(2022)
• Publication Date: 2022-08-21
• Subjects: Analog circuit -- Li-Rinzel calcium model -- CMOS technology -- Real time; Biology -- Periodicals; Biological Science Disciplines -- Periodicals; Biology -- Periodicals; Biologie -- Périodiques; Theoretische biologie; Biology; Periodicals; 571.05
• DOI: 10.1016/j.jtbi.2022.111164
• Languages: English
• ISSNs: 0022-5193

Abstract

Highlights: Proposing a new real-time analog Ca 2+ Li-Rinzel astrocyte model circuit. Designing of a circuit of Ca 2+ Li-Rinzel astrocyte model based on analytical method. The proposed circuit is useful with high accuracy in neuromorphic applications. Abstract: Different biological models are used to study physical behaviors in neural networks. So far, various models of neural network components such as neurons, synapses, and astrocytes have been proposed. An astrocyte is one of the crucial parts introduced in multiple models. A model of astrocytes used as a good reference in various papers is the Li-Rinzel calcium model. This paper presents a real-time analog circuit of the Li-Rinzel calcium model based on common-mode (CM) in 180 nm CMOS technology. To the best of our knowledge, this work is the first report to introduce a real-time analog circuit of Li-Rinzel model in an integrated standard CMOS technology. The careful design of equations and low power consumption are essential features of this circuit. The real-time behavior is also crucial compared with the accelerated time circuits presented so far.