Abstract
We report the experimental demonstration of the ferroelectric field-effect transistor (FEFET)-based relaxation oscillators and spiking neurons. The ferroelectric relaxation oscillators and the ferroelectric spiking neurons, harnessing the abrupt hysteretic transition feature of ferroelectrics, have a compact 1T-1FEFET structure. The bias conditions of the FEFET can dynamically tune the hysteresis; therefore, the dynamics of oscillations and spikings can be controlled, which enable both excitation and inhibition functions in ferroelectric spiking neurons. Such FEFET-based systems are basic building blocks for efficient computational platforms for non-von Neumann and neuromorphic computing paradigms, such as coupled oscillator networks and spiking neural networks.
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Wang, Z., & Khan, A. I. (2019). Ferroelectric Relaxation Oscillators and Spiking Neurons. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 5(2), 151–157. https://doi.org/10.1109/JXCDC.2019.2928769
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