to provide us with awareness and guidance. [1] Biological systems inherently run on a distributed computing paradigm with superior fault tolerance and power efficiency inherent to adaptive, plastic and event-driven sensory neuron networks. [2,3] Thus, emulating biological behavior from sensory neurons is a fundamental implementation of bio-sensory capabilities. [4] There are three key components in the biologic sensory system containing receptor cells, nerve channels and sensory-related parts of the brain, as shown in Figure 1. The biologic tactile nervous system is one of the ways in which external information is acquired. Skin (sensory receptor) perceive external stimuli and presynaptic neurons generate action potentials to release neurotransmitters that trigger postsynaptic neurons, and the electrical signal then propagates along the afferent neurons to the somatosensory cortex. [5] Accordingly, the artificial sensory memory (ASM) device also should contain three core components (see Figure 1b): the E-skin (artificial receptor) to convert external physical stimuli into electrical signal pulses, the artificial synapse to integrate the signals and convert signals into excitatory postsynaptic current (EPSC), and the artificial axon to connect them.Recently, there appears some significant breakthroughs in combining advanced bio-inspired sensing and neuromorphic engineering technologies. [6][7][8][9][10] In particular, different neuromorphic systems based on field-effect transistor (FET)based synaptic devices have been developed for tactile simulation. [3,11,12] For example, Zhu et al. used piezoresistive sensors to convert pressure stimuli into electrical signals, which were transmitted to indium-tungsten-oxide synaptic transistors through soft ion conductors; the system can integrate and extract tactile pattern features for pattern recognition. [13] Wan et al. proposed a bio-inspired energy-saving tactile sensor by combining the triboelectric nanogenerator and IZGO-based synaptic transistor compatible. [11] Triboelectric nanogenerator converts dynamic pressure pulse into gate voltage pulse to adjust the channel conduction of synaptic transistor. However, with the development of integrated circuit miniaturization technology, transistor cannot effectively retain electrons and store information. Recently, the emerging nanoelectronics synaptic devices are drawing more attention due to their superior properties.The bio-inspired sensory memory device functions as a multifunctional artificial perceptual learning system that can effectively analyze and retain multiple sensory signals. In this work, the multiscale hierarchical surface of reed leaves is templated to prepare CNTs/PDMS films, and a new type of electronic skin (E-skin) is constructed. Due to its unique multi-scale sensing layer surface, E-skin exhibits a wide pressure detection range and ultrahigh sensitivity (235.95 kPa −1 ) and linearity (0.99 under 1.95-12.4 kPa). The memristor serving as artificial synapse is formed with HfO 2 film as resistive switch lay...