NbO<sub>2</sub>-Based Frequency Storable Coupled Oscillators for Associative Memory Application
Oscillatory neural networks with nano-oscillators and synapse devices are a promising alternative to implement neuromorphic systems owing to its fast recognition speed and low power consumption. In this paper, we demonstrate a compact frequency storable oscillator using nanoscale two-terminal NbO<...
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| Autores principales: | , , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
IEEE
2018
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/4d5250a0d9aa46a7919fcb945d796027 |
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| Sumario: | Oscillatory neural networks with nano-oscillators and synapse devices are a promising alternative to implement neuromorphic systems owing to its fast recognition speed and low power consumption. In this paper, we demonstrate a compact frequency storable oscillator using nanoscale two-terminal NbO<sub>2</sub> insulator-metal-transition devices along with TaO<sub>x</sub>-based resistive switching memory (RRAM) devices. By controlling RRAM resistance, we realized a wide range of analog oscillation frequencies. The synchronization window of two coupled oscillators, which is a key parameter for determining pattern recognition, increases with the increasing coupling capacitance and decreasing RRAM resistance of the reference oscillator. The simple device structure (metal-NbO<sub>2</sub>-metal-TaO<sub>x</sub>-metal), small device area (4F<sup>2</sup>), and frequency storability of NbO<sub>2</sub>-based coupled oscillator device show a strong potential for future integrated neuromorphic device application. |
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