Electrooptic Dual-Mode Synergetic Control of Two-Dimensional Nonvolatile Floating-Gate Transistors for Artificial Synapses
Source abstract
Abstract
High Resolution Image Download MS PowerPoint Slide Floating-gate memories based on two-dimensional (2D) materials show great potential for mimicking synapses in artificial neural networks (ANNs), offering a promising pathway toward hardware neuromorphic computing. However, current implementations predominantly rely on electrical modulation, limiting their applications in future artificial visual systems. Here, we demonstrate an electrooptic dual-mode artificial synapse based on a van der Waals heterostructured MoS 2 floating-gate transistor. This device uniquely combines electrically controlled nonvolatile programmability with light-tunable multilevel storage states, enabling versatile synaptic functionalities. Specifically, electrical stimulation induces key synaptic behaviors, including excitatory/inhibitory responses and long-term potentiation/depression, while optical excitation facilitates long-term neuroplasticity through persistent multilevel conductance states. It can also work as an optoelectronic heterosynaptic transistor and perform dual-mode modulation through both electrical and optical inputs. With this characteristic, we demonstrate its application in an ANN visual sensor, which achieves a remarkable recognition accuracy of 91.97% in handwritten digit classification.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Memory and Neural Computing · Neural Networks and Reservoir Computing · 2D Materials and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Physics and Electronic Information
Jiangsu Second Normal University
School of Microelectronics
Fudan University
School of Information Science and Technology
Hangzhou Normal University
Funding
Jiangsu Second Normal University · National Natural Science Foundation of China
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