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Depiction of the 3D cubed-sphere discretization grid (low resolution) with a large mountain at the North Pole. The encircled grids show the quadrature points on a 3D cell used to perform mathematical ...

Passive and perturbation states and the resulting neural dynamics models. (a) Passive state of the neural network and the corresponding ground-truth model. (b) Recorded neural activities without ...

The synapse is the fundamental unit of communication in the nervous system. Determining how information is transferred across the synaptic interface is one of the most complex endeavors in ...

This repository contains the codes for framework for equation discovery by combining Neural Networks with Characteristic Curves (NN-CC), Symmetry Constraints, and Post-Symbolic Regression (Post-SR).

Abstract: The identification of nonlinear systems is a challenging problem. Physical knowledge of a system can be used in the identification process to significantly improve the predictive performance ...

Nonlinear systems and networks theory is a branch of automatic control theory. It takes systems and networks described by nonlinear differential equations or difference equations as its research ...

As 6G envisions the convergence of ultra-fast communications, integrated sensing, and native AI capabilities across diverse environments — including terrestrial, aerial, and satellite domains — ...

Institute of Photonics and Optical Science (IPOS), School of Physics, University of Sydney, Sydney, New South Wales 2006, Australia ARC Centre of Excellence for Optical Microcombs for Breakthrough ...