4.6 Article

Electroformed, Self-Connected Tin Oxide Nanoparticle Networks for Electronic Reservoir Computing

Related references

Note: Only part of the references are listed.
Article Nanoscience & Nanotechnology

Tin oxide artificial synapses for low power temporal information processing

Phuong Y. Le et al.

NANOTECHNOLOGY (2019)

Article Chemistry, Physical

Synaptic dynamics in complex self-assembled nanoparticle networks

S. K. Bose et al.

FARADAY DISCUSSIONS (2019)

Article Engineering, Electrical & Electronic

Temporal data classification and forecasting using a memristor-based reservoir computing system

John Moon et al.

NATURE ELECTRONICS (2019)

Article Chemistry, Physical

Mimicking synaptic plasticity and learning behaviours in solution processed SnO2 memristor

Ying Pan et al.

JOURNAL OF ALLOYS AND COMPOUNDS (2018)

Article Chemistry, Physical

Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing

Zhongrui Wang et al.

NATURE MATERIALS (2017)

Article Engineering, Electrical & Electronic

Stable Self-Assembled Atomic-Switch Networks for Neuromorphic Applications

Saurabh K. Bose et al.

IEEE TRANSACTIONS ON ELECTRON DEVICES (2017)

Article Physics, Applied

Silver oxide Schottky contacts and metal semiconductor field-effect transistors on SnO2 thin films

Giang T. Dang et al.

APPLIED PHYSICS EXPRESS (2016)

Article Computer Science, Hardware & Architecture

FPGA based spike-time dependent encoder and reservoir design in neuromorphic computing processors

Yang Yi et al.

MICROPROCESSORS AND MICROSYSTEMS (2016)

Review Chemistry, Multidisciplinary

Ordered nanoparticle arrays interconnected by molecular linkers: electronic and optoelectronic properties

Jianhui Liao et al.

CHEMICAL SOCIETY REVIEWS (2015)

Article Nanoscience & Nanotechnology

Atomic switch networks-nanoarchitectonic design of a complex system for natural computing

E. C. Demis et al.

NANOTECHNOLOGY (2015)

Article Nanoscience & Nanotechnology

Evolution of a designless nanoparticle network into reconfigurable Boolean logic

S. K. Bose et al.

NATURE NANOTECHNOLOGY (2015)

Article Nanoscience & Nanotechnology

A theoretical and experimental study of neuromorphic atomic switch networks for reservoir computing

Henry O. Sillin et al.

NANOTECHNOLOGY (2013)

Article Physics, Applied

Second and higher harmonics generation with memristive systems

Guy Z. Cohen et al.

APPLIED PHYSICS LETTERS (2012)

Article Multidisciplinary Sciences

Neuromorphic Atomic Switch Networks

Audrius V. Avizienis et al.

PLOS ONE (2012)

Review Nanoscience & Nanotechnology

Electrochemical metallization memories-fundamentals, applications, prospects

Ilia Valov et al.

NANOTECHNOLOGY (2011)

Article Physics, Applied

Unipolar resistive switching characteristics of room temperature grown SnO2 thin films

Kazuki Nagashima et al.

APPLIED PHYSICS LETTERS (2009)

Article Computer Science, Information Systems

Reservoir computing approaches to recurrent neural network training

Mantas Lukosevicius et al.

COMPUTER SCIENCE REVIEW (2009)

Article Chemistry, Multidisciplinary

Fully transparent thin-film transistor devices based on SnO2 nanowires

Eric N. Dattoli et al.

NANO LETTERS (2007)

Article Computer Science, Artificial Intelligence

An experimental unification of reservoir computing methods

D. Verstraeten et al.

NEURAL NETWORKS (2007)

Review Chemistry, Analytical

Surface science studies of gas sensing materials:: SnO2

Matthias Batzill

SENSORS (2006)

Article Chemistry, Physical

Kinetics of the disproportionation of SnO

H Giefers et al.

SOLID STATE IONICS (2005)

Article Physics, Fluids & Plasmas

Spiking neural network for recognizing spatiotemporal sequences of spikes

DZ Jin

PHYSICAL REVIEW E (2004)