Equivalent-accuracy accelerated neural-network training using analogue memory

Toward on-chip acceleration of the backpropagation algorithm using nonvolatile memory

(2017) P. Narayanan et al.   IBM JOURNAL OF RESEARCH AND DEVELOPMENT

A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing

(2017) Yoeri van de Burgt et al.   NATURE MATERIALS

Li-Ion Synaptic Transistor for Low Power Analog Computing

(2016) Elliot J. Fuller et al.   ADVANCED MATERIALS

Convolutional networks for fast, energy-efficient neuromorphic computing

(2016) Steven K. Esser et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

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

(2016) Tayfun Gokmen et al.   Frontiers in Neuroscience

Utilizing multiple state variables to improve the dynamic range of analog switching in a memristor

(2015) YeonJoo Jeong et al.   APPLIED PHYSICS LETTERS

Optimization of Conductance Change in Pr1–xCaxMnO3-Based Synaptic Devices for Neuromorphic Systems

(2015) Jun-Woo Jang et al.   IEEE ELECTRON DEVICE LETTERS

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

(2015) Geoffrey W. Burr et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

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

(2015) Ligang Gao et al.   NANOTECHNOLOGY

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

(2015) M. Prezioso et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Ferroelectric Artificial Synapses for Recognition of a Multishaded Image

(2014) Yukihiro Kaneko et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

A million spiking-neuron integrated circuit with a scalable communication network and interface

(2014) P. A. Merolla et al.   SCIENCE

High precision tuning of state for memristive devices by adaptable variation-tolerant algorithm

(2012) Fabien Alibart et al.   NANOTECHNOLOGY