NEW LMI-BASED CRITERIA FOR LAGRANGE STABILITY OF COHEN-GROSSBERG NEURAL NETWORKS WITH GENERAL ACTIVATION FUNCTIONS AND MIXED DELAYS

New LMI-based Criteria for Lagrange Stability of Cohen-Grossberg Neural Networks with General Activation Functions and Mixed Delays

In this paper, the problem on Lagrange stability of Cohen-Grossberg neural networks (CGNNs) with both mixed delays and general activation functions is considered.By virtue of Lyapunov functional and Halanay delay differential inequality, several new criteria in linear matrix inequalities (LMIs) form for the global exponential stability in Lagrange

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Exosomes From Astrocyte Processes: Signaling to Neurons

It is widely recognized that extracellular vesicles subserve non-classical signal transmission in the central nervous system.Here we assess if the astrocyte processes, that are recognized to play crucial roles Tongue Depressors in intercellular communication at the synapses and in neuron-astrocyte networks, could convey messages through extracellul

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Impacts of energy transmission properties on non-Newtonian fluid flow in stratified and non-stratified conditions

The flow properties are essential to understanding the mechanism of the working fluid and its effect on energy transmission.This study examines the rheological properties of Williamson fluid flow over an inclined surface when affected by linear stratification and convective surfaces in both thermal and solutal fields.A system of boundary value prob

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