Biomimetic Neuromorphic Sensory System via Electrolyte Gated Transistors DOI Creative Commons
Sheng Li, Lin Gao, Changjian Liu

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(15), P. 4915 - 4915

Published: July 29, 2024

Biomimetic neuromorphic sensing systems, inspired by the structure and function of biological neural networks, represent a major advancement in field technology artificial intelligence. This review paper focuses on development application electrolyte gated transistors (EGTs) as core components (synapses neuros) these systems. EGTs offer unique advantages, including low operating voltage, high transconductance, biocompatibility, making them ideal for integrating with sensors, interfacing tissues, mimicking processes. Major advances use sensory applications such tactile visual chemical multimode systems are carefully discussed. Furthermore, challenges future directions explored, highlighting potential EGT-based biomimetic to revolutionize prosthetics, robotics, human-machine interfaces. Through comprehensive analysis latest research, this is intended provide detailed understanding current status prospects via EGT integrated technologies.

Language: Английский

Molecular Cocrystal Strategy for Retinamorphic Vision with UV–Vis–NIR Perception and Fast Recognition DOI
Xuemei Dong, Chen Chen, Yinxiang Li

et al.

ACS Nano, Journal Year: 2025, Volume and Issue: 19(5), P. 5718 - 5726

Published: Jan. 31, 2025

Neuromorphic vision sensors capable of multispectral perception and efficient recognition are highly desirable for bioretina emulation, but their realization is challenging. Here, we present a cocrystal strategy preparing an organic nanowire retinamorphic sensor with UV-vis-NIR fast recognition. By leveraging molecular-scale donor-acceptor interpenetration charge-transfer interfaces, the device exhibits ultrawide photoperception ranging from 350 to 1050 nm, photoresponse 150 ms, high specific detectivity 8.2 × 1012 Jones, responsivity 15 A W-1, as well retina-like photosynaptic plasticity behaviors. Utilizing nerve convolutional neural network, architecture achieves 90% accuracy in recognizing colorful images. The design offers effective method constructing photosynases performance artificial visual systems.

Language: Английский

Citations

1
Emerging Artificial Synaptic Devices Based on Organic Semiconductors: Molecular Design, Structure and Applications DOI
Yunchao Xu, Yuan He, Dongyong Shan

et al.

ACS Applied Materials & Interfaces, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 9, 2025

In modern computing, the Von Neumann architecture faces challenges such as memory bottleneck, hindering efficient processing of large datasets and concurrent programs. Neuromorphic inspired by brain's architecture, emerges a promising alternative, offering unparalleled computational power while consuming less energy. Artificial synaptic devices play crucial role in this paradigm shift. Various material systems, from organic to inorganic, have been explored for neuromorphic devices, with materials attracting attention their excellent photoelectric properties, diverse choices, versatile preparation methods. Organic semiconductors, particular, offer advantages over transition-metal dichalcogenides, including ease flexibility, making them suitable large-area films. This review focuses on emerging artificial based discussing different branches within semiconductor system, various fabrication methods, device structure designs, applications synapse. Critical considerations achieving truly human-like dynamic perception systems semiconductors are also outlined, reflecting ongoing evolution computing.

Language: Английский

Citations

0
Recent Progress on Heterojunction‐Based Memristors and Artificial Synapses for Low‐Power Neural Morphological Computing DOI Open Access

Zhi‐Xiang Yin,

Hao Chen, Shuo Yin

et al.

Small, Journal Year: 2025, Volume and Issue: unknown

Published: March 19, 2025

Abstract Memristors and artificial synapses have attracted tremendous attention due to their promising potential for application in the field of neural morphological computing, but at same time, continuous optimization improvement energy consumption are also highly desirable. In recent years, it has been demonstrated that heterojunction is great significance improving memristors synapses. By optimizing material composition, interface characteristics, device structure heterojunctions, can be reduced, performance stability durability improved, providing strong support achieving low‐power computing systems. Herein, we review progress on heterojunction‐based by summarizing working mechanisms advances memristors, terms selection, design, fabrication techniques, strategies, etc. Then, applications neuromorphological deep learning introduced discussed. After that, remaining bottlenecks restricting development discussed detail. Finally, corresponding strategies overcome challenges proposed. We believe this may shed light high‐performance synapse devices.

Language: Английский

Citations

0
An artificial synapse based on organic heterojunction of conducting polymer and molecular ferroelectrics DOI

Zimu Li,

Chunli Jiang, Chunhua Luo

et al.

Organic Electronics, Journal Year: 2025, Volume and Issue: unknown, P. 107242 - 107242

Published: March 1, 2025

Language: Английский

Citations

0
Biomimetic Neuromorphic Sensory System via Electrolyte Gated Transistors DOI Creative Commons
Sheng Li, Lin Gao, Changjian Liu

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(15), P. 4915 - 4915

Published: July 29, 2024

Biomimetic neuromorphic sensing systems, inspired by the structure and function of biological neural networks, represent a major advancement in field technology artificial intelligence. This review paper focuses on development application electrolyte gated transistors (EGTs) as core components (synapses neuros) these systems. EGTs offer unique advantages, including low operating voltage, high transconductance, biocompatibility, making them ideal for integrating with sensors, interfacing tissues, mimicking processes. Major advances use sensory applications such tactile visual chemical multimode systems are carefully discussed. Furthermore, challenges future directions explored, highlighting potential EGT-based biomimetic to revolutionize prosthetics, robotics, human-machine interfaces. Through comprehensive analysis latest research, this is intended provide detailed understanding current status prospects via EGT integrated technologies.

Language: Английский

Citations

0