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Energy-Efficient Artificial Synapses Based on Oxide Tunnel Junctions
journal contribution
posted on 2019-11-08, 20:03 authored by Jiankun Li, Chen Ge, Haotian Lu, Haizhong Guo, Er-Jia Guo, Meng He, Can Wang, Guozhen Yang, Kuijuan JinThe
development of artificial synapses has enabled the establishment of
brain-inspired computing systems, which provides a promising approach
for overcoming the inherent limitations of current computer systems.
The two-terminal memristors that faithfully mimic the function of
biological synapses have intensive prospects in the neural network
field. Here, we propose a high-performance artificial synapse based
on oxide tunnel junctions with oxygen vacancy migration. Both short-term
and long-term plasticities are mimicked in one device. The oxygen
vacancy migration through oxide ultrathin films is utilized to manipulate
long-term plasticity. Essential synaptic functions, such as paired
pulse facilitation, post-tetanic potentiation, as well as spike-timing-dependent
plasticity, are successfully implemented in one device by finely modifying
the shape of the pre- and postsynaptic spikes. Ultralow femtojoule
energy consumption comparable to that of the human brain indicates
its potential application in efficient neuromorphic computing. Oxide
tunnel junctions proposed in this work provide an alternative approach
for realizing energy-efficient brain-like chips.
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prospectoxygen vacancy migrationpostsynaptic spikesOxide Tunnel Junctionssynapsesapplicationoxide ultrathin filmsoxide tunnel junctionsOxide tunnel junctionsSynapsetwo-terminal memristorsUltralow femtojoule energy consumptionpulse facilitationsynapsedevicecomputer systemsplasticitiepost-tetanic potentiationlimitationpreestablishmentEnergy-Efficientnetwork fieldbrain-inspiredalternative approachneuromorphicbrain-like chipsspike-timing-dependent plasticityEssential synaptic functions
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