Stochastic neuron based on IGZO Schottky diodes for neuromorphic computing

Neuromorphic architectures based on memristive neurons and synapses hold great prospect in achieving highly intelligent and efficient computing systems. Here, we show that a Schottky diode based on Cu-Ta/InGaZnO4 (IGZO)/TiN structure can exhibit threshold switching behavior after electroforming and in turn be used to implement an artificial neuron with inherently stochastic dynamics. The threshold switching originates from the Cu filament formation and spontaneous Cu–In–O precipitation in IGZO. The nucleation and precipitation of Cu–In–O phase are stochastic in nature, which leads to the stochasticity of the artificial neuron. It is demonstrated that IGZO based stochastic neurons can be used for global minimum computation with random walk algorithm, making it promising for robust neuromorphic computation.

• Publication year

  2019

• Venue

  APL Materials

• Publication date

  2019-07-01

• Fields of study

  Materials Science, Physics, Engineering, Computer Science

• Identifiers
  DOI 10.1063/1.5109090
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A Dual-Functional IGZO-Based Device With Schottky Diode Rectifying and Resistance Switching Behaviors

  2019cited by this paper
• Memristive crossbar arrays for brain-inspired computing

  2019cited by this paper
• An Oxide Schottky Junction Artificial Optoelectronic Synapse.

  2019cited by this paper
• PCMO RRAM for Integrate-and-Fire Neuron in Spiking Neural Networks

  2018cited by this paper
• Probing memristive switching in nanoionic devices

  2018cited by this paper
• Neuromorphic Computing: Ion Gated Synaptic Transistors Based on 2D van der Waals Crystals with Tunable Diffusive Dynamics (Adv. Mater. 21/2018)

  2018cited by this paper
• Fully memristive neural networks for pattern classification with unsupervised learning

  2018cited by this paper
• Ionic modulation and ionic coupling effects in MoS2 devices for neuromorphic computing

  2018cited by this paper
• Neuromorphic computing with memristive devices

  2018cited by this paper
• Ultra-Low Energy LIF Neuron Using Si NIPIN Diode for Spiking Neural Networks

  2018cited by this paper
• Equivalent-accuracy accelerated neural-network training using analogue memory

  2018cited by this paper
• A bio-inspired physically transient/biodegradable synapse for security neuromorphic computing based on memristors.

  2018cited by this paper
• The Mobility Enhancement of Indium Gallium Zinc Oxide Transistors via Low-temperature Crystallization using a Tantalum Catalytic Layer

  2017cited by this paper
• Cu Diffusion‐Driven Dynamic Modulation of the Electrical Properties of Amorphous Oxide Semiconductors

  2017cited by this paper
• On-chip photonic synapse

  2017cited by this paper
• NbOx based oscillation neuron for neuromorphic computing

  2017cited by this paper
• Temperature dependent frequency tuning of NbOx relaxation oscillators

  2017cited by this paper
• Stochastic phase-change neurons.

  2016cited by this paper
• Engineering incremental resistive switching in TaOx based memristors for brain-inspired computing.

  2016cited by this paper
• Self-compliance RRAM characteristics using a novel W/TaO x /TiN structure

  2014cited by this paper
• A Native Stochastic Computing Architecture Enabled by Memristors

  2014cited by this paper
• A scalable neuristor built with Mott memristors.

  2013cited by this paper
• Stochastic Memristive Devices for Computing and Neuromorphic Applications

  2013cited by this paper
• Investigation on amorphous InGaZnO based resistive switching memory with low-power, high-speed, high reliability

  2013cited by this paper
• Cognitive Computing

  2011cited by this paper
• A global optimization method using a random walk on a topological map and local variational inversions

  2010cited by this paper
• Random Walks for Image Segmentation

  2006cited by this paper
• Information processing with population codes

  2000cited by this paper

• AI-driven quantitative review of mobility–stability trade-off in oxide semiconductors

  2026cites this paper
• An Analysis of Components and Enhancement Strategies for Advancing Memristive Neural Networks

  2025cites this paper
• Bio-inspired neuron based on threshold selector and tunnel diode capable of excitability modulation

  2025cites this paper
• Effects of oxygen gradient engineering on resistive switching uniformity in amorphous InGaZnO memristors for synaptic plasticity emulation

  2025cites this paper
• Bias‐Switchable Volatile and Nonvolatile Multifunctional Photoelectric Memristors Based on MXene Quantum Dots for Efficient Selective Encryption‐Decryption and Recognition

  2025cites this paper
• Beyond von Neumann Architecture: Brain‐Inspired Artificial Neuromorphic Devices and Integrated Computing

  2024cites this paper
• Solution-Processed InGaZnO-Based Artificial Neuron for Neuromorphic System

  2023cites this paper
• Improved resistive switching performance of amorphous InGaZnO-based memristor with the TiO2 insertion layer

  2023cites this paper
• A neuromorphic physiological signal processing system based on VO2 memristor for next-generation human-machine interface

  2023cites this paper
• Neural network estimations of annealed and non-annealed Schottky diode characteristics at wide temperatures range

  2022cites this paper
• Neural Mini-Apps as a Tool for Neuromorphic Computing Insight

  2022cites this paper
• Tailoring the synaptic properties of a-IGZO memristors for artificial deep neural networks

  2022cites this paper
• Dropout neuronal unit with tunable probability based on NbOx stochastic memristor for efficient suppression of overfitting

  2022cites this paper
• Low-Voltage Solution-Processed Artificial Optoelectronic Hybrid-Integrated Neuron Based on 2d Mxene for Multi-Task Spiking Neural Network

  2022cites this paper
• Memristor‐Based Intelligent Human‐Like Neural Computing

  2022cites this paper
• Flexible Active Crossbar Arrays Using Amorphous Oxide Semiconductor Technology toward Artificial Neural Networks Hardware

  2022cites this paper
• High-Density Patterning of InGaZnO by CH4: a Comparative Study of RIE and Pulsed Plasma ALE.

  2022cites this paper
• High-speed Si films based threshold switching device and its artificial neuron application

  2021cites this paper
• Oscillation neuron based on a low-variability threshold switching device for high-performance neuromorphic computing

  2021cites this paper
• Emerging Artificial Neuron Devices for Probabilistic Computing

  2021cites this paper
• A Marr's Three‐Level Analytical Framework for Neuromorphic Electronic Systems

  2021cites this paper
• In-memory computing with emerging nonvolatile memory devices

  2021cites this paper
• Fabrication and characterization of high performance InAlZnO Schottky barrier diode and its application in ultraviolet photodetection

  2021cites this paper
• A comprehensive review on emerging artificial neuromorphic devices

  2020cites this paper
• Neuromorphic Spatiotemporal Information Processing Using Neuro-Photodetector Systems

  2020cites this paper
• A Roadmap for Reaching the Potential of Brain‐Derived Computing

  2020cites this paper
• Highly Uniform Two‐Terminal Artificial Synapses Based on Polycrystalline Hf0.5Zr0.5O2 for Sparsified Back Propagation Networks

  2020cites this paper
• Noble‐Metal‐Free Memristive Devices Based on IGZO for Neuromorphic Applications

  2020cites this paper
• Artificial Neural Networks Based on Memristive Devices: From Device to System

  2020cites this paper
• Spike Encoding with Optic Sensory Neurons Enable a Pulse Coupled Neural Network for Ultraviolet Image Segmentation.

  2020cites this paper
• Emerging Memristive Artificial Synapses and Neurons for Energy‐Efficient Neuromorphic Computing

  2020cites this paper
• Spiking neurons with spatiotemporal dynamics and gain modulation for monolithically integrated memristive neural networks

  2020cites this paper
• Emerging materials in neuromorphic computing: Guest editorial

  2020cites this paper
• An artificial piezotronic synapse for tactile perception

  2020cites this paper
• Control of the Boundary between the Gradual and Abrupt Modulation of Resistance in the Schottky Barrier Tunneling-Modulated Amorphous Indium-Gallium-Zinc-Oxide Memristors for Neuromorphic Computing

  2019cites this paper
• Oscillation neuron based on threshold switching characteristics of niobium oxide films

  2019cites this paper
• Progresses and outlook in neuromorphic devices

  2019cites this paper