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Anisotropic Black Phosphorus Synaptic Device for Neuromorphic Applications.

He Tian1, Qiushi Guo2, Yujun Xie3

  • 1Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, 90089, USA.

Advanced Materials (Deerfield Beach, Fla.)
|April 28, 2016
PubMed
Summary
This summary is machine-generated.

Researchers developed the first black phosphorus synaptic device, mimicking biological synapse functions like plasticity and heterogeneity. This breakthrough advances artificial neuromorphic systems by incorporating intrinsic device variability.

Keywords:
anisotropyartificial synapsesblack phosphorusheterogeneitynative oxide

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Area of Science:

  • Materials Science
  • Neuroscience
  • Electrical Engineering

Background:

  • Artificial neuromorphic systems aim to replicate biological brain functions.
  • Developing artificial synapses with inherent heterogeneity is crucial for advanced computing.
  • Black phosphorus (BP) is a promising material for electronic devices due to its unique properties.

Purpose of the Study:

  • To demonstrate the first black phosphorus (BP) synaptic device.
  • To leverage BP's intrinsic low crystalline symmetry for anisotropic synaptic characteristics.
  • To mimic key features of biological synapses, including heterogeneity in plasticity.

Main Methods:

  • Fabrication of a synaptic device using black phosphorus.
  • Characterization of the device's synaptic properties.
  • Experimental validation of long-term plasticity and spike-timing-dependent plasticity.

Main Results:

  • Successful demonstration of the first black phosphorus synaptic device.
  • Observed intrinsic anisotropy in synaptic characteristics due to BP's crystalline structure.
  • Mimicry of biological synaptic behaviors, including long-term potentiation/depression and spike-timing-dependent plasticity, with inherent heterogeneity.

Conclusions:

  • The developed black phosphorus synaptic device offers intrinsic anisotropy and heterogeneity.
  • This work is a significant step towards creating artificial neuromorphic systems with inherent variability.
  • BP-based synaptic devices hold potential for more biologically plausible artificial intelligence.