Abstract

Recently, the ferroelectric memristors have attracted much attention for neuromorphic computing and artificial intelligence because of fast reversal speed, excellent fatigue, nondestructive readout. In this paper, the basic functions of biological synapses including paired-pulse facilitation/depression (PPF/PPD), spike-rate/amplitude-dependent plasticity (SRDP/SADP) have been successfully simulated in BaTiO3/Nb:SrTiO3 epitaxial heterojunction. Furthermore, normal and abnormal Bienenstock-Cooper-Munro (BCM) learning rules with sliding frequency threshold have been found from SRDP under positive and negative bias, respectively. This provides support for encoding and deep learning in the application of neuromorphic computing.

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