4.5 Article

Synaptic Characteristics of an Ultrathin Hexagonal Boron Nitride (h-BN) Diffusive Memristor

Journal

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/pssr.202000473

Keywords

h; ‐ BN; memristors; neuromorphic computing; synapses; threshold switching

Funding

  1. Basic Science Research Program through the National Research Foundation of Korea (NRF) - Korea government (Ministry of Education) [2019R1F1A1057697]
  2. Global Research and Development Center Program through the National Research Foundation of Korea (NRF) - Korea government (Ministry of Education) [2018K1A4A3A01064272]
  3. Global Research and Development Center Program through the National Research Foundation of Korea (NRF) - Korea government (Ministry of Science and ICT) [2018K1A4A3A01064272]
  4. Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education [NRF-2016R1A6A1A03013422, NRF-2019R1F1A1057243]
  5. Basic Science Research Program through the National Research Foundation of Korea (NRF) - Korea government (Ministry of Science and ICT) [2019R1F1A1057697]
  6. National Research Foundation of Korea [2019R1F1A1057697] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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A nano-sized two-terminal memristor demonstrating volatile threshold switching has been fabricated to emulate biological synaptic functions in neuromorphic computing. The device exhibits a large I-ON/OFF ratio and the experimental realization of synaptic behavior validates a psychological model of human brain learning. Input pulses with different spike-times are used to replicate synaptic functionalities.
A nano-sized two-terminal memristor exhibiting volatile threshold switching (TS) is a promising candidate for the emulation of biological synaptic functions to realize efficient neuromorphic computing systems. The Ca2+ dynamics play a vital role in generating a temporal response for neural functions by changing the synaptic weight of biological synapses. Herein, a thinnest synaptic device is fabricated demonstrating drift dynamics of Ag+ migration through the exfoliated h-BN sheets, which emulates neuromorphic computing operations. The TS characteristics with a large I-ON/OFF up to approximate to 10(5) lead to bio-synaptic applications, including short-term and long-term memory. The experimental realization of the synaptic behavior is demonstrated with paired-pulse facilitation (PPF), spike-rate-dependent plasticity (SRDP), and transition from short-term plasticity (STP) to long-term plasticity (LTP). The transition from STP to LTP in this synaptic device verifies the Atkinson and Shiffrin psychological model of human brain learning experimentally. The input pulses with different spike-times are used to replicate the synaptic functionalities. The two-terminal diffusive memristors constructed with thin sheets of 2D-flexible h-BN resistive materials may lead to flexible neuromorphic devices for biological applications.

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