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Optogenetics-Inspired Fluorescent Synaptic Devices with Nonvolatility.

Yue Wang1,2, Kun Wang1, Xiangyu Hu3

  • 1State Key Laboratory of Silicon Materials & School of Materials Science and Engineering, Zhejiang University, Hangzhou, Zhejiang310027, China.

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|February 6, 2023
PubMed
Summary
This summary is machine-generated.

Researchers developed novel optoelectronic synaptic devices using silicon quantum dots and molybdenum disulfide. These devices simultaneously modulate and visualize synaptic events, enabling self-diagnosis for neuromorphic computing systems.

Keywords:
fluorescenceheterostructureneuromorphic computingnonvolatilitysynaptic devicesynaptic plasticity

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Area of Science:

  • Neuroscience
  • Materials Science
  • Computer Engineering

Background:

  • Optogenetics and bioimaging offer synergistic capabilities in neuroscience.
  • Optoelectronic synaptic devices are crucial for neuromorphic computing.
  • Simultaneous modulation and visualization of synaptic events are desired.

Purpose of the Study:

  • To demonstrate simultaneous modulation and visualization of synaptic events using optoelectronic devices.
  • To develop synaptic devices with integrated self-diagnosis capabilities for neuromorphic systems.

Main Methods:

  • Fabrication of optically stimulated synaptic devices based on silicon quantum dots (Si QDs) and monolayer molybdenum disulfide (MoS2) heterostructures.
  • Utilizing the charge-transfer-enabled photogating effect for nonvolatile synaptic functionalities.
  • Employing synchronous fluorescence upon optical stimulation for visualization.

Main Results:

  • Achieved simultaneous modulation and visualization of synaptic events.
  • Demonstrated nonvolatile synaptic functionalities with synchronous fluorescence.
  • Successfully mimicked neural population coding using an array of Si QDs/MoS2 devices.
  • Identified defective devices via absence of fluorescence.

Conclusions:

  • The developed Si QDs/MoS2 heterostructure enables simultaneous optical control and readout of synaptic events.
  • The integrated fluorescence serves as a built-in diagnostic tool for device-level positioning and system-level diagnosis in neuromorphic computing.
  • This work advances the development of self-aware and robust neuromorphic computing systems.