Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing

Optimized pulsed write schemes improve linearity and write speed for low-power organic neuromorphic devices

(2018) Scott T Keene et al.   JOURNAL OF PHYSICS D-APPLIED PHYSICS

SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocations

(2018) Shinhyun Choi et al.   NATURE MATERIALS

Efficient and self-adaptive in-situ learning in multilayer memristor neural networks

(2018) Can Li et al.   Nature Communications

Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator

(2018) Matthew J. Marinella et al.   IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Organic electrochemical transistors

(2018) Jonathan Rivnay et al.   Nature Reviews Materials

All-Solid-State Synaptic Transistor with Ultralow Conductance for Neuromorphic Computing

(2018) Chuan-Sen Yang et al.   ADVANCED FUNCTIONAL MATERIALS

Low-Power, Electrochemically Tunable Graphene Synapses for Neuromorphic Computing

(2018) Mohammad Taghi Sharbati et al.   ADVANCED MATERIALS

Mechanisms for Enhanced State Retention and Stability in Redox-Gated Organic Neuromorphic Devices

(2018) Scott Tom Keene et al.   Advanced Electronic Materials

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

Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing

(2016) Zhongrui Wang et al.   NATURE MATERIALS

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

(2016) Sapan Agarwal et al.   Frontiers in Neuroscience

Origin of Outstanding Stability in the Lithium Solid Electrolyte Materials: Insights from Thermodynamic Analyses Based on First-Principles Calculations

(2015) Yizhou Zhu et al.   ACS Applied Materials & Interfaces

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

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

Direct Measurement of Ion Mobility in a Conducting Polymer

(2013) Eleni Stavrinidou et al.   ADVANCED MATERIALS

Resistance-dependent amplitude of random telegraph-signal noise in resistive switching memories

(2010) Daniele Ielmini et al.   APPLIED PHYSICS LETTERS

Investigation of the through-plane impedance technique for evaluation of anisotropy of proton conducting polymer membranes

(2008) Tatyana Soboleva et al.   JOURNAL OF ELECTROANALYTICAL CHEMISTRY

The missing memristor found

(2008) Dmitri B. Strukov et al.   NATURE