4.8 Article

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

Related references

Note: Only part of the references are listed.
Article Multidisciplinary Sciences

Emulating short-term synaptic dynamics with memristive devices

Radu Berdan et al.

SCIENTIFIC REPORTS (2016)

Article Chemistry, Multidisciplinary

Biorealistic Implementation of Synaptic Functions with Oxide Memristors through Internal Ionic Dynamics

Chao Du et al.

ADVANCED FUNCTIONAL MATERIALS (2015)

Article Chemistry, Multidisciplinary

Memristive Physically Evolving Networks Enabling the Emulation of Heterosynaptic Plasticity

Yuchao Yang et al.

ADVANCED MATERIALS (2015)

Article Engineering, Electrical & Electronic

An RRAM Biasing Parameter Optimizer

Alexander Serb et al.

IEEE TRANSACTIONS ON ELECTRON DEVICES (2015)

Article Engineering, Electrical & Electronic

A μ-Controller-Based System for Interfacing Selectorless RRAM Crossbar Arrays

Radu Berdan et al.

IEEE TRANSACTIONS ON ELECTRON DEVICES (2015)

Article Engineering, Electrical & Electronic

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

Geoffrey W. Burr et al.

IEEE TRANSACTIONS ON ELECTRON DEVICES (2015)

Article Engineering, Electrical & Electronic

Bioinspired Programming of Memory Devices for Implementing an Inference Engine

Damien Querlioz et al.

PROCEEDINGS OF THE IEEE (2015)

Article Biochemical Research Methods

Network Plasticity as Bayesian Inference

David Kappel et al.

PLOS COMPUTATIONAL BIOLOGY (2015)

Article Neurosciences

Implementation of a spike-based perceptron learning rule using TiO2-x memristors

Hesham Mostafa et al.

FRONTIERS IN NEUROSCIENCE (2015)

Article Multidisciplinary Sciences

A Memristor SPICE Model Accounting for Synaptic Activity Dependence

Qingjiang Li et al.

PLOS ONE (2015)

Article Automation & Control Systems

Neuromorphic Character Recognition System With Two PCMO Memristors as a Synapse

Ahmad Muqeem Sheri et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2014)

Article Multidisciplinary Sciences

Enabling an Integrated Rate-temporal Learning Scheme on Memristor

Wei He et al.

SCIENTIFIC REPORTS (2014)

Article Biochemical Research Methods

STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning

David Kappel et al.

PLOS COMPUTATIONAL BIOLOGY (2014)

Article Nanoscience & Nanotechnology

Integration of nanoscale memristor synapses in neuromorphic computing architectures

Giacomo Indiveri et al.

NANOTECHNOLOGY (2013)

Article Computer Science, Artificial Intelligence

Emergence of Optimal Decoding of Population Codes Through STDP

Stefan Habenschuss et al.

NEURAL COMPUTATION (2013)

Review Neurosciences

STDP and STDP variations with memristors for spiking neuromorphic learning systems

T. Serrano-Gotarredona et al.

FRONTIERS IN NEUROSCIENCE (2013)

Article Engineering, Electrical & Electronic

High precision analogue memristor state tuning

R. Berdan et al.

ELECTRONICS LETTERS (2012)

Article Physics, Applied

Physical aspects of low power synapses based on phase change memory devices

Manan Suri et al.

JOURNAL OF APPLIED PHYSICS (2012)

Article Physics, Applied

Voltage-time dilemma of pure electronic mechanisms in resistive switching memory cells

Herbert Schroeder et al.

JOURNAL OF APPLIED PHYSICS (2010)

Article Chemistry, Multidisciplinary

Nanoscale Memristor Device as Synapse in Neuromorphic Systems

Sung Hyun Jo et al.

NANO LETTERS (2010)

Article Chemistry, Physical

Complementary resistive switches for passive nanocrossbar memories

Eike Linn et al.

NATURE MATERIALS (2010)

Review Chemistry, Multidisciplinary

Redox-Based Resistive Switching Memories - Nanoionic Mechanisms, Prospects, and Challenges

Rainer Waser et al.

ADVANCED MATERIALS (2009)

Article Engineering, Electrical & Electronic

High density 3D memory architecture based on the resistive switching effect

C. Kuegeler et al.

SOLID-STATE ELECTRONICS (2009)

Article Multidisciplinary Sciences

The missing memristor found

Dmitri B. Strukov et al.

NATURE (2008)

Article Multidisciplinary Sciences

Spike Timing Dependent Plasticity Finds the Start of Repeating Patterns in Continuous Spike Trains

Timothee Masquelier et al.

PLOS ONE (2008)

Review Chemistry, Physical

Nanoionics-based resistive switching memories

RaineR Waser et al.

NATURE MATERIALS (2007)

Article Nanoscience & Nanotechnology

Self-organized computation with unreliable, memristive nanodevices

G. S. Snider

NANOTECHNOLOGY (2007)

Article Computer Science, Artificial Intelligence

A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity

G Indiveri et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2006)

Article Neurosciences

Transient and persistent dendritic spines in the neocortex in vivo

AJGD Holtmaat et al.

NEURON (2005)

Review Neurosciences

Neuronal circuits of the neocortex

RJ Douglas et al.

ANNUAL REVIEW OF NEUROSCIENCE (2004)

Article Multidisciplinary Sciences

Long-term in vivo imaging of experience-dependent synaptic plasticity in adult cortex

JT Trachtenberg et al.

NATURE (2002)

Article Computer Science, Hardware & Architecture

A current-mode hysteretic winner-take-all network, with excitatory and inhibitory coupling

G Indiveri

ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING (2001)