Towards Wave Digital Modeling of Neural Pathways Using Two-Port Coupling Networks
Karlheinz Ochs, Bakr Al Beattie · 2022
Biological systems are a great source of inspiration for developing novel computing technologies, as they exhibit favourable properties such as self-organisation and energy efficiency. The sheer complexity of these systems, however, makes developing such technologies both difficult and time-consuming. Tools providing the ability of emulating the behavior of complex systems, therefore become very essential. In this work, we present a method for emulating the behavior of electrical networks containing a coupling network with two-port coupling elements. Here, we make use of the wave digital concept due to the robustness and parallelism of the associated algorithms, which are closely related to the underlying electrical circuit. This work should serve as a basis for future implementations of close-to-biology neural networks.