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Search Results for "Feasibility Of Memristors In Neuromorphic Systems"

05:06 EDT 18th August 2017 | BioPortfolio

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Chaotic dynamics in nanoscale NbO2 Mott memristors for analogue computing

At present, machine learning systems use simplified neuron models that lack the rich nonlinear phenomena observed in biological systems, which display spatio-temporal cooperative dynamics. There is ev...

Neuromorphic Chip Market: U.S. Neuromorphic Chip Market Projected to Register High YoY Growth During the Forecast Period: Global Industry Analysis and Opportunity Assessment, 20162026 [Updated: 03012017] Prices from USD $5000

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Will brain-inspired chips make a dent in science's big data problems?

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Neuromorphic computing with nanoscale spintronic oscillators

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Neuron transistor behaves like a brain neuron

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Matching PubMed Articles

A Hybrid CMOS-Memristor Neuromorphic Synapse.

Although data processing technology continues to advance at an astonishing rate, computers with brain-like processing capabilities still elude us. It is envisioned that such computers may be achieved ...

Brain-Inspired Photonic Neuromorphic Devices using Photodynamic Amorphous Oxide Semiconductors and their Persistent Photoconductivity.

The combination of a neuromorphic architecture and photonic computing may open up a new era for computational systems owing to the possibility of attaining high bandwidths and the low-computation-powe...

Chaotic dynamics in nanoscale NbO2 Mott memristors for analogue computing.

At present, machine learning systems use simplified neuron models that lack the rich nonlinear phenomena observed in biological systems, which display spatio-temporal cooperative dynamics. There is ev...

Neuromorphic Hardware Architecture Using the Neural Engineering Framework for Pattern Recognition.

We present a hardware architecture that uses the neural engineering framework (NEF) to implement large-scale neural networks on field programmable gate arrays (FPGAs) for performing massively parallel...

New Conditions for Global Asymptotic Stability of Memristor Neural Networks.

Recent papers in the literature introduced a class of neural networks (NNs) with memristors, named dynamic-memristor (DM) NNs, such that the analog processing takes place in the charge-flux domain, in...

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