Progress has been made in the study of flexible artificial synapses for intelligent bionic sensing systems.

The development of artificial intelligence technology has brought revolutionary changes to human-computer interaction, bionic sensing system and intelligent robot, and also put forward new requirements for the processing of complex data and human-computer interaction interface.
the neural networks realized by the software system and the von Neumann architecture computing system, the human brain computing method has the characteristics of high efficiency and low power consumption.
, it is of great significance to construct a new computing system to simulate the neuromorphic device of the human brain at the hardware level through the preparation of artificial synact devices.
human-computer interface is also widely concerned in the field of bionic perception because it can transform sensor signals into neural signals, which can be compatible with biological nerve signals and build intelligent and efficient human-computer interaction.
With the deepening of research, the working principle of the device has been explained, the relevant materials, preparation process and device structure have been continuously optimized, but most of the current research is focused on the device's simulation of biological synact function, the bionic perception system necessary information perception - signal transmission - information processing system construction is still in its preliminary stage, based on the hard substrate prepared artificial synhap devices can not meet the needs of flexible systems such as organisms.
In response to the above problems and needs, Zhang , a researcher at the Suzhou Institute of Nanotechnology and Nano-Bionics of the Chinese Academy of Sciences, conducted an in-depth exploration of flexible artificial synhap devices for intelligent bionic sensing systems from the perspective of information perception-signal transmission-information processing.
is an important perceptive system for organisms to obtain external information, which is of great significance to biological activities.
traditional artificial synapses often require sensors to simulate the biological functions of neurosensorption systems, resulting in hardware redundancy, power consumption, and latency.
inspired by the bee vision system, the researchers used zinc oxide nanowires and sodium seaweed to design a flexible bionic synhap transistor with light perception that integrates visual perception and information processing.
the characteristics of the device's simultaneous response to electrical signals and optical signal stimulation, the conversion of short-term synactical plasticity and long-term synactical plasticity can be achieved under the joint action of electrical signal and optical signal.
the array preparation of this synhaptic transistor device, the study realized the adjustment of the optical signal memory level at different voltages, and realized the preliminary simulation of the function of biological vision perception.
results were published in Adv on Adv. Mater. Technol. On.
In the simulation of the neural signaling process, the researchers used the selection and optimization of device materials, combined with biopathy perception mechanisms, to doped lithium perchlorate polyethylene polyoxide (PEO: LiClO4) and semiconductor-type single-wall carbon nanotubes (s-SWCNTs) as channel materials, the preparation of double-layer structure of memactile artificial synapses, to achieve the simulation of biological pain transmission and perception functions.
the device is stimulated by a pulsed electrical signal, a mild stimulus (1.4 V) enhances the post-synapse signal, and a stronger stimulus (1.4 V) suppresses the post-synapse signal.
these behaviors are similar to pain perception, transmission, and the protective function of the nervous system.
the main principle of the device is the interaction between the current carrier of PEO:LiClO4 and the function groups and defects in s-SWCNTs.
In particular, when mild stimulation, the enhancement of the post-synact signal is achieved by the migration of the carrier and the filling of defects;
results were published on npj Flex under the title Bio-inspired flexible people synapses for pain perception and nerve injuries. Electron. On.
, as an important part of bionic sensing system, plays an important role in system performance.
researchers prepared memrological bionic artificial synapses consisting of reduced graphene oxide (rGO) and shell polysaccharides (CS) by simulating the transmission of G protein receiver signals in the biological nervous system and optimizing the design of the above-mentioned double-layer structural memridesis.
protons in
CS, rGO in the function group corresponding to the biological body lice and the mechanism of the role of the body, the carrier in the duct group of the jump to produce channel current, but due to the limitation of defects in rGO, the device presents a spatial charge limit current (SCLC) conduction mechanism.
through different degrees of electrical signal stimulation, the characteristics of the device channel can be regulated to achieve the short-term plasticity and long-term plasticity of biological synapses simulation, as well as similar to the memory and forgetting function of the human brain.
results were published in Microsyst under the title Bioological receptor inspired flexible people synapse on ionic dynamics. Nanoeng. On.
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