NbO2-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 2...

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Bibliographic Details
Published in:IEEE journal of the Electron Devices Society 2018-01, Vol.6, p.250-253
Main Authors: Lee, Donguk, Cha, Euijun, Park, Jaehyuk, Sung, Changhyuck, Moon, Kibong, Chekol, Solomon Amsalu, Hwang, Hyunsang
Format: Article
Language:English
Subjects:
Associative memory
Capacitance
coupled oscillators
Couplings
Insulator-metal-transition
Memory devices
Neural networks
neuromorphic system
Niobium oxides
Oscillators
oscillatory neuron
Pattern recognition
Power consumption
Resistance
Switching theory
Synchronism
Synchronization
Voltage measurement
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Summary: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 2 insulator-metal-transition devices along with TaO x -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 2 -metal-TaO x -metal), small device area (4F 2 ), and frequency storability of NbO 2 -based coupled oscillator device show a strong potential for future integrated neuromorphic device application.
ISSN:2168-6734
DOI:10.1109/JEDS.2018.2793342