Chung Lam

Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses

Synaptic electronics: materials, devices and applications

Fully hardware-implemented memristor convolutional neural network

Unsupervised Learning by Spike Timing Dependent Plasticity in Phase Change Memory (PCM) Synapses

Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing

Ultrafast machine vision with 2D material neural network image sensors

Training and operation of an integrated neuromorphic network based on metal-oxide memristors

Specifications of Nanoscale Devices and Circuits for Neuromorphic Computational Systems

Neuro-Inspired Computing With Emerging Nonvolatile Memorys

Accumulation-Based Computing Using Phase-Change Memories With FET Access Devices

The future of electronics based on memristive systems

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

In-memory computing with resistive switching devices

Low-Energy Robust Neuromorphic Computation Using Synaptic Devices

Calculating with light using a chip-scale all-optical abacus

Neuromorphic computing using non-volatile memory

Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element

Recent Progress in Phase-ChangeMemory Technology

Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array

Nanoscale electronic synapses using phase change devices