A Memristors‐Based Dendritic Neuron for High‐Efficiency Spatial‐Temporal Information Processing

Abstract

Diverse microscopic ionic dynamics help mediate the ability of a biological neural network to handle complex tasks with low energy consumption. Thus, rich internal ionic dynamics in memristors based on transition metal oxide are expected to provide a unique and useful platform for implementing energy‐efficient neuromorphic computing. To this end, a titanium oxide (TiOx)‐based interface‐type dynamic memristor and an niobium oxide (NbOx)‐based Mott memristor are integrated as an artificial dendrite and spike‐firing soma, respectively, to construct a dendritic neuron unit for realizing high‐efficiency spatial‐temporal information processing. Further, a dendritic neural network is hardware‐implemented for spatial‐temporal information processing to highlight the computational advantages achieved by incorporating dendritic functions in the network. Human motion recognition is demonstrated using the Nanyang Technological University‐Red Green Blue (NTU‐RGB) dataset as a benchmark spatial‐temporal task; it shows a nearly 20% improvement in accuracy for the memristors‐based hardware incorporating dendrites and a 1000× advantage in power efficiency compared to that of the graphics processing unit (GPU). The dendritic neuron developed in this study can be considered a critical building block for implementing more bio‐plausible neural networks that can manage complex spatial‐temporal tasks with high efficiency.

Emerging MXene‐Based Memristors for In‐Memory, Neuromorphic Computing, and Logic Operation

“…In order to mimic the neural network, researchers are exploring novel neuromorphic computing systems that can realize in-memory processing. [183] The memristor-based artificial synapses hold promise to afford superior data processing capability and implement biological scale simulation and calculation. Noticeably, MXene-based memristors have shown extraordinary talents in the field of neuromorphic computing.…”

Recent advances of transition radiation: Fundamentals and applications

“…Spatial-temporal materials in Fig. 7d, such as photonic-time crystal and temporal metamaterials, have their optical response dependent both on space and time [237][238][239]. The emergence of spatial-temporal materials gets rid of fundamental limitations presented in space-engineered media and enable many counterintuitive phenomena, such as magnet-free nonreciprocity [240] and Cherenkov radiation in the vacuum [241,242].…”

Progress in Bioinspired Photodetectors Design for Visual Information Processing

“…ANN incorporated with dendritic neurons has been demonstrated to have the ability to process spatial-temporal information efficiently. [126] Li et al [127] implemented the processing of spatial and temporal information based on memristor-based dendritic neurons capable of recognizing the motion gestures of the human body. Recently, novel device designs based on 2D materials [128] and silicon materials [129] have also enabled the recognition of moving objects at the sensor level.…”