Direct Triboelectric Programming of a Ferroelectric Synaptic Transistor for Neuromorphic Tactile Perception

Triboelectric nanogenerators provide a direct electrical interface to mechanical stimuli, yet most triboelectric–neuromorphic integrations rely on volatile conductance modulation or indirect capacitive coupling, limiting memory‐assisted tactile perception. Here, we demonstrate direct triboelectric programming of a MoS 2 /HfO 2 /PbZr 0.3 Ti 0.7 O 3 ferroelectric transistor, where rectified triboelectric pulses are coupled to ferroelectric switching to realize cumulative conductance modulation. The spike‐like outputs generated by mechanical contact–separation are translated into history‐dependent conductance evolution through polarization‐controlled electrostatic modulation in PbZr 0.3 Ti 0.7 O 3 assisted by charge trapping in HfO 2 . Systematic correlation between triboelectric pulse amplitude, repetition frequency, and channel conductance reveals that repetitive mechanical inputs progressively accumulate polarization‐mediated states without external signal amplification or continuous waveform processing. The device exhibits fundamental synaptic characteristics under electrical stimulation, while triboelectrically generated inputs enable cumulative tactile programming. By constructing a force–frequency‐dependent conductance map and defining a reference current window, tactile conditions are encoded into stable state regimes, allowing threshold‐based discrimination based on accumulated device states rather than instantaneous signals. Furthermore, the experimentally parameterized encoding framework is extended to electrocardiogram signal classification, demonstrating its capability to transform temporal bio‐signals into device‐relevant conductance features for neuromorphic signal processing. These results establish a physics‐grounded route for analog memory‐assisted tactile state encoding in neuromorphic sensory systems.