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Coplanar Multigate MoS2 Electric-Double-Layer Transistors for Neuromorphic Visual Recognition.

Dingdong Xie1, Jie Jiang1, Wennan Hu1

  • 1Hunan Key Laboratory of Super Microstructure and Ultrafast Process, School of Physics and Electronics , Central South University , Changsha 410083 , China.

ACS Applied Materials & Interfaces
|July 25, 2018
PubMed
Summary
This summary is machine-generated.

Researchers mimicked spatiotemporal visual neurons using a novel 2D MoS2 transistor. This breakthrough enables artificial visual neural networks for advanced spatiotemporal coordinate and orientation recognition.

Keywords:
electric-double-layer transistorsneuromorphic devicesspatiotemporal coordinatetwo-dimensional MoS2visual orientation recognition

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Area of Science:

  • Neuromorphic Engineering
  • Materials Science
  • Neuroscience

Background:

  • Cortical cells are crucial for visual system functions like spatial coordinate and orientation recognition.
  • Mimicking these neuronal functions is key for developing advanced artificial intelligence and brain-computer interfaces.

Purpose of the Study:

  • To develop a novel artificial synapse device capable of mimicking spatiotemporal visual neuron functions.
  • To demonstrate a proof-of-principle artificial visual neural network system for spatiotemporal processing.

Main Methods:

  • Fabrication of a coplanar multigate two-dimensional (2D) MoS2 electric-double-layer transistor.
  • Integration of proton-conducting poly(vinyl alcohol) electrolytes as gate dielectrics.
  • Experimental demonstration of neuromorphic behaviors like excitatory postsynaptic current and paired-pulse facilitation.

Main Results:

  • Successful mimicry of fundamental neuromorphic behaviors in the fabricated device.
  • Experimental demonstration of an artificial visual neural network system for spatiotemporal coordinate and orientation recognition.
  • Validation of the device's potential for advanced visual processing.

Conclusions:

  • The developed 2D MoS2 transistor effectively mimics spatiotemporal visual neurons.
  • This research presents a novel platform for brain-like neuromorphic nanoelectronics.
  • The findings open promising avenues for intelligent spatiotemporal processing in artificial systems.