Flexible Artificial Sensory Systems Based on Neuromorphic Devices

Abstract

Emerging flexible artificial sensory systems using neuromorphic electronics have been considered as a promising solution for processing massive data with low power consumption. The construction of artificial sensory systems with synaptic devices and sensing elements to mimic complicated sensing and processing in biological systems is a prerequisite for the realization. To realize high-efficiency neuromorphic sensory systems, the development of artificial flexible synapses with low power consumption and high-density integration is essential. Furthermore, the realization of efficient coupling between the sensing element and the synaptic device is crucial. This Review presents recent progress in the area of neuromorphic electronics for flexible artificial sensory systems. We focus on both the recent advances of artificial synapses, including device structures, mechanisms, and functions, and the design of intelligent, flexible perception systems based on synaptic devices. Additionally, key challenges and opportunities related to flexible artificial perception systems are examined, and potential solutions and suggestions are provided.

Applications of Carbon Nanotubes in the Internet of Things Era

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Engineered neuromuscular actuators for medicine, meat, and machines

“…This gap in the field could be addressed in the interim by flexible artificial sensory bioelectronic tools, which have been described in a recent review. [50] Closed-loop wireless neuromodulation via abiotic materials and tools are already significantly well developed, as compared to their biological counterparts, [51] and could be used in the place of, or in synchrony with, biological control mechanisms in the future.…”

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“…Recently, memristors have emerged as promising contenders for next-generation high-capacity information storage and computing systems, attributing to their advantages of fast data transfer rate, short access time, low power consumption, and the compatibility with complementary metal-oxide-semiconductor (CMOS) technology [8][9][10][11][12][13][14]. More importantly, they have exhibited great potential in the applications of nonvolatile memory, logic computing and brain-inspired neuromorphic hardware [15][16][17][18][19][20][21][22]. These three interrelated technologies provide a feasible route for developing a novel in-memory computing architecture that integrates information storage and processing in one system [12,13], which can break through the existing von Neumann bottleneck and memory wall of traditional computing systems.…”