Non-volatile memristors are promising for future hardware-based neurocomputation application because they are capable of emulating biological synaptic functions. Various material strategies have been studied to pursue better device performance, such as lower energy cost, better biological plausibility, etc. In this work, we show a novel design for non-volatile memristor based on CoO/Nb:SrTiO3 heterojunction. We found the memristor intrinsically exhibited resistivity switching behaviors, which can be ascribed to the migration of oxygen vacancies and charge trapping and detrapping at the heterojunction interface. The carrier trapping/detrapping level can be finely adjusted by regulating voltage amplitudes. Gradual conductance modulation can t...
Memristive devices have been widely employed to emulate biological synaptic behavior. In these cases...
Computing inspired by the human brain requires a massive parallel architecture of low-power consumin...
Neuromorphic computing architectures are required to execute several operations such as forgetting a...
Non-volatile memristors are promising for future hardware-based neurocomputation application because...
Parallel information processing, energy efficiency and unsupervised learning make the human brain a ...
Synaptic devices with bipolar analog resistive switching behavior are the building blocks for memris...
International audienceNeuromorphic computing has gained important attention since it is an efficient...
Memristors can mimic the functions of biological synapse, where it can simultaneously store the syna...
Energy efficiency, parallel information processing, and unsupervised learning make the human brain a...
Activated by action potentials and Ca2+ ion migration, neurotransmitters in biological synapses are ...
Memristors have attracted interest as neuromorphic computation elements because they show promise in...
Thomas A, Niehörster S, Fabretti S, et al. Tunnel junction based memristors as artificial synapses. ...
Inspired by the superb efficiency of biological systems, solid-state neural network systems have att...
Memristive devices have been widely employed to emulate biological synaptic behavior. In these cases...
Computing inspired by the human brain requires a massive parallel architecture of low-power consumin...
Neuromorphic computing architectures are required to execute several operations such as forgetting a...
Non-volatile memristors are promising for future hardware-based neurocomputation application because...
Parallel information processing, energy efficiency and unsupervised learning make the human brain a ...
Synaptic devices with bipolar analog resistive switching behavior are the building blocks for memris...
International audienceNeuromorphic computing has gained important attention since it is an efficient...
Memristors can mimic the functions of biological synapse, where it can simultaneously store the syna...
Energy efficiency, parallel information processing, and unsupervised learning make the human brain a...
Activated by action potentials and Ca2+ ion migration, neurotransmitters in biological synapses are ...
Memristors have attracted interest as neuromorphic computation elements because they show promise in...
Thomas A, Niehörster S, Fabretti S, et al. Tunnel junction based memristors as artificial synapses. ...
Inspired by the superb efficiency of biological systems, solid-state neural network systems have att...
Memristive devices have been widely employed to emulate biological synaptic behavior. In these cases...
Computing inspired by the human brain requires a massive parallel architecture of low-power consumin...
Neuromorphic computing architectures are required to execute several operations such as forgetting a...