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Advanced Electronic Materials · 2021 ·Vol. 7 ·期 8 ·2100291 · IF 7.295

Artificial Synapse Based on Organic–Inorganic Hybrid Perovskite with Electric and Optical Modulation

Jie Lao,Wen Xu,Chunli Jiang,Ni Zhong,Bobo Tian,Hechun Lin,Chunhua Luo,Jadranka Travas-Sejdic,Hui Peng,Chun-Gang Duan

Artificial synapse of neuromorphic computing has been attracting significant attention as an alternative concept for next-generation computing. Here, a two-terminal synaptic device based on potassium iodide (KI) and CH 3 NH 3 PbI 3 (MAPbI 3 ) hybrid film (KI–MAPbI 3 ) is reported. The use of KI as an additive in the film preparation process greatly reduces grain boundaries, facilitating the improvement of device performance. The prepared synaptic device exhibits dual response to electric and light stimuli due to the unique properties of MAPbI 3 . Besides the successful simulation of biological synaptic functionalities such as paired-pulse facilitation (PPF), plasticity in long-term potentiation (LTP), and long-term depression (LTD), the learning behavior of human under different moods and Pavlov's dog experiment are also simulated by combining electric and light stimuli. For image recognition, the simulation result shows that the device achieves an accuracy of 84.2% under light illumination after only 1500 learning phases.

研究领域: 神经形态计算 · 材料科学 · 仿生学
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Materials Today Physics · 2021 · IF 9.298

Methylammonium halide-doped perovskite artificial synapse for light-assisted environmental perception and learning

Jiangdong Gong,Huanhuan Wei,Yao Ni,Shuo Zhang,Yi Du,Wentao Xu

Optoelectronic synapses that integrate and process light and electric signals simultaneously received giant attention for the development of artificial visual system. However, to mimic robust perception and processing ability of biological vision demands exceptional photoresponse and tunable plasticity of the optoelectronic synaptic units. Herein, we demonstrated a Methylammonium (MA) halide-doped perovskite artificial synapse. The introduction of MA halide additives into formamidinium lead iodide (FAPbI 3 ) can effectively improve the film morphology and crystallinity , leading to a wider regulatory range of synaptic plasticity. The effect of light irradiation on shaping synaptic plasticity was revealed to realize important synaptic functions. With the assistance of light stimuli, high-order learning behaviors have been achieved, including dynamic logic operation and conditioned reflex. A higher pattern recognition accuracy (88.2%) of handwritten digits was achieved in simulation. Moreover, the correlation between light irradiation and the hybrid perovskite-based artificial synapse can be utilized to perceive environmental change and to tune information processing efficiency. These results provide a new strategy for constructing future artificial intelligent system.

研究领域: 材料科学 · 神经形态计算 · 光电技术
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Micromachines · 2023 ·Vol. 14 ·期 8 ·1576 · IF 3.4

A PDMS–Agar Hybrid Microfluidic Device for the Investigation of Chemical–Mechanical Associative Learning Behavior of C. elegans

Jinchi Zhu,Yu Wang,Shuting Tang,Huiying Su,Xixian Wang,Wei Du,Yun Wang,Bi-Feng Liu

Associative learning is a critical survival trait that promotes behavioral plasticity in response to changing environments. Chemosensation and mechanosensation are important sensory modalities that enable animals to gather information about their internal state and external environment. However, there is a limited amount of research on these two modalities. In this paper, a novel PDMS–agar hybrid microfluidic device is proposed for training and analyzing chemical–mechanical associative learning behavior in the nematodeCaenorhabditis elegans. The microfluidic device consisted of a bottom agar gel layer and an upper PDMS layer. A chemical concentration gradient was generated on the agar gel layer, and the PDMS layer served to mimic mechanical stimuli. Based on this platform,C. eleganscan perform chemical–mechanical associative learning behavior after training. Our findings indicated that the aversive component of training is the primary driver of the observed associative learning behavior. In addition, the results indicated that the neurotransmitter octopamine is involved in regulating this associative learning behavior via the SER-6 receptor. Thus, the microfluidic device provides a highly efficient platform for studying the associative learning behavior ofC. elegans, and it may be applied in mutant screening and drug testing.Keywords:associative learning behavior;microfluidic device;Caenorhabditis elegans;octopamine

研究领域: 神经科学 · 分子生物学
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ACS Applied Electronic Materials · 2024 · IF 4.3

Self-Powered Intelligent Tactile-Sensing System Based on Organic Electrochemical Transistors

Ruixue Zhang,Chao Zhao,Wei Ma,Han Yan

The existing intelligent sensing systems face problems in terms of physical separation between sensors and synaptic devices, as well as the necessity for an external power source to drive these devices. This results in significant losses in system power consumption and speed. Here, we demonstrate a self-powered intelligent tactile sensing system, aiming to address these challenges. The integration at the device level is achieved by constructing a sensory integration structure based on an organic electrochemical transistor (OECT), thereby mitigating system redundancy and power dissipation. Meanwhile, the self-powered nature of the system based on an organic solar cell (OSC) eliminates the need for an external power supply, making it suitable for portable real-time tactile perception applications. The system has a low operating voltage (0.9 V) and low power consumption (50 μw). It also demonstrates plasticity and the potential to learn behavior, making it suitable for applications in intelligent humanoid robots and other future scenarios.

CAS / MDL: 107-21-1 2530-83-8
研究领域: 材料科学 · 神经形态工程 · 电子工程
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ORGANIC ELECTRONICS · 2021 · IF 3.721

Two-terminal organic optoelectronic synapse based on poly(3-hexylthiophene) for neuromorphic computing

Pengfei Zhao,Rongxue Ji,Jie Lao,Wen Xu,Chunli Jiang,Chunhua Luo,Hechun Lin,Hui Peng,Chun-Gang Duan

Owe to their advantages of unique electronic structure, physical flexibility and easy processability, conducting polymers are considered as one of the most competitive candidates for organic synaptic devices. However, conventional organic synaptic devices are based on electric modulation or three-terminal structure which are not conducive to construction of neural networks with high integration density. Here, a two-terminal organic optoelectronic device based on poly(3-hexylthiophene) (P3HT) is prepared via a simple spin-coating method. The fabricated synaptic device shows sensitive response to the light stimuli and successfully simulates the basic functions of biological synapse, such as excitatory postsynaptic current (EPSC), pair-pulse facilitation (PPF). Furthermore, the capabilities of simulating “learning-experience” behavior, detecting and memorizing the integrated optical information are also realized by this artificial synapse.

研究领域: 材料科学 · 神经科学 · 电子工程
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