Highly-scalable metal-insulator-metal based electronic synapses fabricated using resistive-switching multilayer hexagonal boron nitride (h-BN) sheets can reliably emulate both long term plasticity and short term plasticity, simultaneously, with an ultra-low standby power consumption of 1fW.Neuromorphic computing is considered as a promising technology for implementing braininspired applications such as speech, self-learning and recognition of patterns using energy efficient spiking networks [1]. In the neural system, neurons are interconnected via synapses that enable the flow of electrical and chemical signals. These neural connections are either strengthened or weakened in response to increases or decreases in their activity via a biologically-observed process called Spike-Timing-Dependent-Plasticity (STDP). The change in the weight of the synapses, also called synaptic plasticity, explains how the brain learns and memorizes. Short term synaptic plasticity (STP) lasts for minutes where the synaptic connection is temporarily enhanced then goes back to its initial state, while long term plasticity (LTP) is the prevailing model for how the brain stores information and it lasts from minutes to hours and days. LTP can also be achieved via repeated stimulations that cause a perpetual change in the connection. Therefore, the capability to imitate the synaptic functions, especially LTP and STP behaviors, is at the core of neuromorphic computing [2].Recent studies have shown that LTP and STP functions can be imitated using resistive-switching (RS) electronic devices which consist of a compact metal/insulator/metal (MIM) structure. In this case, the electrical conductance of the device, acting as the strength of the synapse, can be modulated using electrical stimulations [3][4]. Even though different synaptic behaviors are readily demonstrated using different combinations of metals and insulators, the emulation of both LTP and STP in a single device, with good control over the relaxation process and transition between the two behaviors, remains a challenge. In fact, residual charges can