A Spiking Stochastic Neuron Based on Stacked InGaZnO Memristors

Low-Power Artificial Neurons Based on Ag/TiN/HfAlOx/Pt Threshold Switching Memristor for Neuromorphic Computing

(2020) Yi-Fan Lu et al.   IEEE ELECTRON DEVICE LETTERS

Spiking neurons with spatiotemporal dynamics and gain modulation for monolithically integrated memristive neural networks

(2020) Qingxi Duan et al.   Nature Communications

Leaky integrate-and-fire neurons based on perovskite memristor for spiking neural networks

(2020) Jia-Qin Yang et al.   Nano Energy

Implementation of Dropout Neuronal Units Based on Stochastic Memristive Devices in Neural Networks with High Classification Accuracy

(2020) He‐Ming Huang et al.   Advanced Science

Voltage-Controlled Spintronic Stochastic Neuron for Restricted Boltzmann Machine With Weight Sparsity

(2020) Jiefang Deng et al.   IEEE ELECTRON DEVICE LETTERS

Low-Cost Adaptive Exponential Integrate-and-Fire Neuron Using Stochastic Computing

(2020) Shanlin Xiao et al.   IEEE Transactions on Biomedical Circuits and Systems

Design of a Controllable Redox‐Diffusive Threshold Switching Memristor

(2020) Yiming Sun et al.   Advanced Electronic Materials

Voltage-Controlled Spintronic Stochastic Neuron Based on a Magnetic Tunnel Junction

(2019) Jialin Cai et al.   Physical Review Applied

The motivation, principles, and state of neuromorphic engineering

(2019) Wilkie Olin-Ammentorp et al.   SCIENCE PROGRESS

PrxCa1−xMnO3 based stochastic neuron for Boltzmann machine to solve “maximum cut” problem

(2019) Devesh Khilwani et al.   APL Materials

Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks

(2019) Emre O. Neftci et al.   IEEE SIGNAL PROCESSING MAGAZINE

An Artificial Neuron Based on a Threshold Switching Memristor

(2018) Xumeng Zhang et al.   IEEE ELECTRON DEVICE LETTERS

Quasi-Hodgkin-Huxley Neurons with Leaky Integrate-and-Fire Functions Physically Realized with Memristive Devices

(2018) He-Ming Huang et al.   ADVANCED MATERIALS

Highly Compact Artificial Memristive Neuron with Low Energy Consumption

(2018) Yishu Zhang et al.   Small

Biological plausibility and stochasticity in scalable VO2 active memristor neurons

(2018) Wei Yi et al.   Nature Communications

Control of Resistive Switching Voltage by Nanoparticle-Decorated Wrinkle Interface

(2018) Huiwu Mao et al.   Advanced Electronic Materials

A Spintronic Voltage-Controlled Stochastic Oscillator for Event-Driven Random Sampling

(2017) H. Lee et al.   IEEE ELECTRON DEVICE LETTERS

A survey of deep neural network architectures and their applications

(2017) Weibo Liu et al.   NEUROCOMPUTING

Supervised learning in spiking neural networks with FORCE training

(2017) Wilten Nicola et al.   Nature Communications

Hybrid neuromorphic system for automatic speech recognition

(2016) M.A. Rafique et al.   ELECTRONICS LETTERS

Stochasticity Modeling in Memristors

(2016) Rawan Naous et al.   IEEE TRANSACTIONS ON NANOTECHNOLOGY

Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing

(2016) Zhongrui Wang et al.   NATURE MATERIALS

Stochastic phase-change neurons

(2016) Tomas Tuma et al.   Nature Nanotechnology

Realistic Hodgkin–Huxley Axons Using Stochastic Behavior of Memristors

(2016) Mohammad Saeed Feali et al.   NEURAL PROCESSING LETTERS

Time series forecasting using a deep belief network with restricted Boltzmann machines

(2014) Takashi Kuremoto et al.   NEUROCOMPUTING

Synaptic Learning and Memory Functions Achieved Using Oxygen Ion Migration/Diffusion in an Amorphous InGaZnO Memristor

(2012) Zhong Qiang Wang et al.   ADVANCED FUNCTIONAL MATERIALS

Modular Neural Tile Architecture for Compact Embedded Hardware Spiking Neural Network

(2012) Sandeep Pande et al.   NEURAL PROCESSING LETTERS

CREB regulates excitability and the allocation of memory to subsets of neurons in the amygdala

(2009) Yu Zhou et al.   NATURE NEUROSCIENCE

Differential Effects of Excitatory and Inhibitory Plasticity on Synaptically Driven Neuronal Input-Output Functions

(2009) Tiago P. Carvalho et al.   NEURON