Dynamically reconfigurable artificial synapse transistors with organic heterojunctions for multifunctional neuromorphic applications DOI
Tao Wang,

Minghao Zhang,

Chen Xu

et al.

Journal of Materials Chemistry C, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Artificial synapses capable of neuromorphic computation are crucial for improving the processing efficiency existing information technologies.

Language: Английский

Organic Synaptic Transistors Based on a Semiconductor Heterojunction for Artificial Visual and Neuromorphic Functions DOI
Pu Guo, Junyao Zhang,

Zhekun Hua

et al.

Nano Letters, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 17, 2025

Visual acuity is the ability of biological retina to distinguish images. High-sensitivity image acquisition improves quality visual perception, making images more recognizable for system. Therefore, developing synaptic phototransistors with enhanced photosensitivity crucial high-performance artificial vision. Here, organic (OSPs) based on p–n type semiconductor heterojunctions are presented, which demonstrate improved photoresponses and light storage characteristics. As many as 800 potentiation–depression states can be obtained, nonlinearity extracted from long-term potentiation curve only 0.08. Furthermore, by utilizing light-adjustable synapse-like behaviors, realize a noise reduction function logic gate transformation. Benefiting OSPs, an neural network constructed OSPs shows recognition accuracy ∼93% both handwritten numbers electrocardiography signals. This research provides effective path photoelectric performance advance systems.

Language: Английский

Citations

2

Dynamically reconfigurable artificial synapse transistors with organic heterojunctions for multifunctional neuromorphic applications DOI
Tao Wang,

Minghao Zhang,

Chen Xu

et al.

Journal of Materials Chemistry C, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Artificial synapses capable of neuromorphic computation are crucial for improving the processing efficiency existing information technologies.

Language: Английский

Citations

0