Initiative, Immersive Human-Computer Interactions: Software Defined Memristive Neural Networks for Non-Linear Heterogeneous Scheme in the Internet of Brains

Metaverse is an initiative, immersive virtual-reality digital space that installs to the next-generation Internet for a platform of network human-computer interaction mode. As the access point number of routing/switching process in non-linear heterogeneous scheme is increased, the original method for the word, voice, or image transmission can not conform to the node and link delay needs of multi-lead electroencephalogram, and multi-media audio/video operating in brain-computer interface or virtual-reality terminal. The parallelization and distribution of data streams with routing/switching capability was not only embed in software-defined network but also plays a critical role in software-defined radio. The purpose of this manuscript is to enable the Metaverse to get an initiative control and immersive perceptual abilities, we introduce an non-linear heterogeneous scheme to make a novel initiative, immersive human-computer interactions: Software-defined memristive neural networks. In the link/network layer, we use the function of software-defined approach in control of a threshold during the early high-speed switching fabric in EEG input or audio/video output. However, the multiple control or perceptual data streams of our thought and sense in conventional routing nodes remain a poorly serial running state all the time. Here, we design a large-scale switch parallelization of memristor-based FPGA system on a basis of previous non-linear heterogeneous scheme for the designing of a routing node in memristive neural network. To conclude, our results verify a high performance in the novel human-computer interaction with multi-lead/multi-media information.