Enabling Mycelium-Inspired Reservoir Computing with Memristive Oscillating Cellular Automata

This paper presents a mycelium-inspired reservoir network through an innovative extension of the Memristive Oscillating Cellular Automata (MOCA) circuit-based network. Drawing on the adaptive, self-organizing properties of mycelium, this MOCA grid employs SiNx-based RRAMs to form reconfigurable, dynamic connections that replicate mycelial network behaviors. Using the Stanford-PKU RRAM model, the non-linear propertiesof the fabricated devices have been characterized, establishing aflexible reservoir network, capable of transforming and encoding input signals. MOCA topology showcases its suitability as a lowpower, hardware-compatible RC model. The network has been evaluated, demonstrating small-world characteristics, including high clustering and short average path lengths, critical foreffective information propagation and complex local dynamics. The resulting adaptable circuit offers a scalable foundation for future applications in bio-inspired reservoir computing.