Publication | Open Access
NbO<sub>2</sub>-Based Frequency Storable Coupled Oscillators for Associative Memory Application
21
Citations
15
References
2018
Year
Reference OscillatorEngineeringOscillatorsEmerging Memory TechnologyComputer ArchitectureIntegrated CircuitsElectronic DevicesOscillator DeviceComputing SystemsNeuromorphic DevicesNeuromorphic EngineeringElectrical EngineeringComputer EngineeringAssociative Memory ApplicationMicroelectronicsMemory ArchitectureOscillatory Neural NetworksApplied PhysicsQuantum DevicesNonlinear Oscillation
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 xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> insulator-metal-transition devices along with TaO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">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 xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> -metal-TaO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</sub> -metal), small device area (4F <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> ), and frequency storability of NbO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> -based coupled oscillator device show a strong potential for future integrated neuromorphic device application.
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