Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices

Li-Ion Synaptic Transistor for Low Power Analog Computing

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

Demonstration of Convolution Kernel Operation on Resistive Cross-Point Array

(2016) Ligang Gao et al.   IEEE ELECTRON DEVICE LETTERS

Repeatable, accurate, and high speed multi-level programming of memristor 1T1R arrays for power efficient analog computing applications

(2016) Emmanuelle J Merced-Grafals et al.   NANOTECHNOLOGY

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

(2016) Tayfun Gokmen et al.   Frontiers in Neuroscience

Energy Scaling Advantages of Resistive Memory Crossbar Based Computation and Its Application to Sparse Coding

(2016) Sapan Agarwal et al.   Frontiers in Neuroscience

On-Chip Sparse Learning Acceleration With CMOS and Resistive Synaptic Devices

(2015) Jae-sun Seo et al.   IEEE TRANSACTIONS ON 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

Memristor-Based Multilayer Neural Networks With Online Gradient Descent Training

(2015) Daniel Soudry et al.   IEEE Transactions on Neural Networks and Learning Systems

Synaptic electronics: materials, devices and applications

(2013) Duygu Kuzum et al.   NANOTECHNOLOGY

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE