3-bit multilevel operation with accurate programming scheme in TiO x /Al2O3 memristor crossbar array for quantized neuromorphic system
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Summary
The results imply that the proposed reset-voltage-control programming scheme can be utilized for a precise tuning, and expected to contribute for the development of a neuromorphic system capable of highly precise weight transfer.
- Type
- article
- Published
- 2021-03-22
- Cited by
- 33
- References
- 49
- OpenAlex
- https://openalex.org/W3138410445
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:232324261
Keywords
MNIST database, Neuromorphic engineering, Crossbar switch, Memristor, Computer science
References
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- Deep Neural Network Approaches to Speaker and Language Recognition
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- Selective Search for Object Recognition
- Integration of nanoscale memristor synapses in neuromorphic computing architectures
- Pattern classification by memristive crossbar circuits using ex situ and in situ training
- Silicon-Based Floating-Body Synaptic Transistor With Frequency-Dependent Short- and Long-Term Memories
- Improved Synaptic Behavior Under Identical Pulses Using AlOx/HfO2 Bilayer RRAM Array for Neuromorphic Systems
- Neuromorphic computing using non-volatile memory
- Learning through ferroelectric domain dynamics in solid-state synapses
- Compact Neuromorphic System With Four-Terminal Si-Based Synaptic Devices for Spiking Neural Networks
- HfZrOx-Based Ferroelectric Synapse Device With 32 Levels of Conductance States for Neuromorphic Applications
- On-chip training of memristor crossbar based multi-layer neural networks
- Brain Intelligence: Go beyond Artificial Intelligence
Cited by
- Gradual conductance modulation of Ti/WOx/Pt memristor with self-rectification for a neuromorphic system
- Architecture and Process Integration Overview of 3D NAND Flash Technologies
- Conduction mechanism effect on physical unclonable function using Al2O3/TiOX memristors
- Multilevel switching memristor by compliance current adjustment for off-chip training of neuromorphic system
- Memristors based on strained multi-walled carbon nanotubes
- Influence of Al2O3 layer on InGaZnO memristor crossbar array for neuromorphic applications
- Effect of weight overlap region on neuromorphic system with memristive synaptic devices
- 4‐bit Multilevel Operation in Overshoot Suppressed Al2O3/TiOx Resistive Random‐Access Memory Crossbar Array
- Intrinsic variation effect in memristive neural network with weight quantization
- Implementation of convolutional neural network and 8-bit reservoir computing in CMOS compatible VRRAM
- Towards Efficient RRAM-based Quantized Neural Networks Hardware: State-of-the-art and Open Issues
- Optimization of Random Telegraph Noise Characteristics in Memristor for True Random Number Generator
- Memristor Crossbar Circuit for Ternary Content‐Addressable Memory with Fine‐Tuning Operation
- In-Memory Computing for Machine Learning and Deep Learning
- Recent Advances and Future Prospects for Memristive Materials, Devices, and Systems.
- A Hybrid Weight Quantization Strategy for Memristive Neural Networks
- Memcapacitor Crossbar Array with Charge Trap NAND Flash Structure for Neuromorphic Computing
- Implementation of Convolutional Neural Networks in Memristor Crossbar Arrays with Binary Activation and Weight Quantization.
- Simultaneous Spike Processing for 3D NAND-Based Spiking Neural Networks
- Overshoot‐Suppressed Memristor Crossbar Array with High Yield by AlOx Oxidation for Neuromorphic System
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