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1. A method for implementing an adaptive stochastic spiking neuron based on a ferroelectric field effect transistor, wherein hardware comprises the ferroelectric field effect transistor (FeFET), an N-type MOSFET, and a Leaky-FeFET (L-FeFET) with an enhanced polarization degradation characteristic, wherein the FeFET has a gate terminal and a drain terminal receiving voltage pulses input from a synapse, respectively, and a source terminal connected to a drain terminal of the N-type MOSFET, wherein a source terminal of the N-type MOSFET is connected to a GND, and a gate terminal of the N-type MOSFET is biased at a fixed voltage lower than a threshold voltage thereof, wherein a series structure of the FeFET and the N-type MOSFET adaptively modulates a voltage pulse signal transmitted from the synapse, and wherein the L-FeFET has a gate terminal connected to the source terminal of the FeFET to receive the modulated pulse signal, a source terminal connected to the GND and a drain terminal serving as an output terminal to generate a current pulse, the L-FeFET being configured to simulate integration, leakage, and spike firing functions of a biological neuron while guaranteeing a function of stochastic spike firing of the neuron by intrinsic stochasticity of ferroelectric polarization reversal, so that the adaptive stochastic spiking neuron is implemented.
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