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

Tightening grip

(2018) Dmitri B. Strukov   NATURE MATERIALS

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

(2018) Shinhyun Choi et al.   NATURE MATERIALS

Robust resistive memory devices using solution-processable metal-coordinated azo aromatics

(2017) Sreetosh Goswami et al.   NATURE MATERIALS

Neuromorphic device architectures with global connectivity through electrolyte gating

(2017) Paschalis Gkoupidenis 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

Neuromorphic Learning and Recognition With One-Transistor-One-Resistor Synapses and Bistable Metal Oxide RRAM

(2016) Stefano Ambrogio et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing

(2016) Zhongrui Wang et al.   NATURE MATERIALS

Self-Adaptive Spike-Time-Dependent Plasticity of Metal-Oxide Memristors

(2016) M. Prezioso et al.   Scientific Reports

Investigation of process parameter variation in the memristor based resistive random access memory (RRAM): Effect of device size variations

(2015) T.D. Dongale et al.   MATERIALS SCIENCE IN SEMICONDUCTOR PROCESSING

Experimental Demonstration of a Second-Order Memristor and Its Ability to Biorealistically Implement Synaptic Plasticity

(2015) Sungho Kim et al.   NANO LETTERS

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

(2015) M. Prezioso et al.   NATURE

Plasticity in memristive devices for spiking neural networks

(2015) Sylvain Saïghi et al.   Frontiers in Neuroscience

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

(2014) P. A. Merolla et al.   SCIENCE

Bio-Inspired Stochastic Computing Using Binary CBRAM Synapses

(2013) Manan Suri et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Spike-Timing-Dependent Plasticity Using Biologically Realistic Action Potentials and Low-Temperature Materials

(2013) Anand Subramaniam et al.   IEEE TRANSACTIONS ON NANOTECHNOLOGY

Synaptic plasticity and learning behaviours mimicked through Ag interface movement in an Ag/conducting polymer/Ta memristive system

(2013) Sizhao Li et al.   Journal of Materials Chemistry C

STDP and STDP variations with memristors for spiking neuromorphic learning systems

(2013) T. Serrano-Gotarredona et al.   Frontiers in Neuroscience

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

(2012) Fabien Alibart et al.   NANOTECHNOLOGY

Memristive devices for computing

(2012) J. Joshua Yang et al.   Nature Nanotechnology

Compact Modeling of Conducting-Bridge Random-Access Memory (CBRAM)

(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

Short-term plasticity and long-term potentiation mimicked in single inorganic synapses

(2011) Takeo Ohno et al.   NATURE MATERIALS

Nanoscale Memristor Device as Synapse in Neuromorphic Systems

(2010) Sung Hyun Jo et al.   NANO LETTERS

An Organic Nanoparticle Transistor Behaving as a Biological Spiking Synapse

(2009) Fabien Alibart et al.   ADVANCED FUNCTIONAL MATERIALS

Spike Timing–Dependent Plasticity: A Hebbian Learning Rule

(2008) Natalia Caporale et al.   Annual Review of Neuroscience