Unsupervised Learning on Resistive Memory Array Based Spiking Neural Networks

Neuromorphic computing with multi-memristive synapses

(2018) Irem Boybat et al.   Nature Communications

ASP: Learning to Forget With Adaptive Synaptic Plasticity in Spiking Neural Networks

(2018) Priyadarshini Panda et al.   IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits

(2018) M. Prezioso et al.   Nature Communications

Face classification using electronic synapses

(2017) Peng Yao et al.   Nature Communications

Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity

(2017) G. Pedretti et al.   Scientific Reports

TiOx-Based RRAM Synapse With 64-Levels of Conductance and Symmetric Conductance Change by Adopting a Hybrid Pulse Scheme for Neuromorphic Computing

(2016) Jaesung Park et al.   IEEE ELECTRON DEVICE LETTERS

Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices: Design Considerations

(2016) Tayfun Gokmen et al.   Frontiers in Neuroscience

Fully parallel write/read in resistive synaptic array for accelerating on-chip learning

(2015) Ligang Gao et al.   NANOTECHNOLOGY

Unsupervised learning of digit recognition using spike-timing-dependent plasticity

(2015) Peter U. Diehl et al.   Frontiers in Computational Neuroscience

A 2-transistor/1-resistor artificial synapse capable of communication and stochastic learning in neuromorphic systems

(2015) Zhongqiang Wang et al.   Frontiers in Neuroscience

A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses

(2015) Ning Qiao et al.   Frontiers in Neuroscience

Uniformity Improvement in 1T1R RRAM With Gate Voltage Ramp Programming

(2014) Hongtao Liu et al.   IEEE ELECTRON DEVICE LETTERS

A Low Energy Oxide-Based Electronic Synaptic Device for Neuromorphic Visual Systems with Tolerance to Device Variation

(2013) Shimeng Yu et al.   ADVANCED MATERIALS

SpiNNaker: A 1-W 18-Core System-on-Chip for Massively-Parallel Neural Network Simulation

(2013) Eustace Painkras et al.   IEEE JOURNAL OF SOLID-STATE CIRCUITS

Immunity to Device Variations in a Spiking Neural Network With Memristive Nanodevices

(2013) Damien Querlioz et al.   IEEE TRANSACTIONS ON NANOTECHNOLOGY

Synaptic electronics: materials, devices and applications

(2013) Duygu Kuzum et al.   NANOTECHNOLOGY

Spike-timing dependent plasticity in a transistor-selected resistive switching memory

(2013) S Ambrogio et al.   NANOTECHNOLOGY

On the Switching Parameter Variation of Metal-Oxide RRAM—Part I: Physical Modeling and Simulation Methodology

(2012) Ximeng Guan et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Low-Power and Highly Reliable Multilevel Operation in $ \hbox{ZrO}_{2}$ 1T1R RRAM

(2011) Ming-Chi Wu et al.   IEEE ELECTRON DEVICE LETTERS

An Electronic Synapse Device Based on Metal Oxide Resistive Switching Memory for Neuromorphic Computation

(2011) Shimeng Yu et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Nanoelectronic Programmable Synapses Based on Phase Change Materials for Brain-Inspired Computing

(2011) Duygu Kuzum et al.   NANO LETTERS

Nanoscale Memristor Device as Synapse in Neuromorphic Systems

(2010) Sung Hyun Jo et al.   NANO LETTERS

Competitive STDP-Based Spike Pattern Learning

(2009) Timothée Masquelier et al.   NEURAL COMPUTATION

Phenomenological models of synaptic plasticity based on spike timing

(2008) Abigail Morrison et al.   BIOLOGICAL CYBERNETICS