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Search Results for "Feasibility Of Memristors In Neuromorphic Systems"

17:15 EST 5th February 2016 | BioPortfolio

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Neural network built using plastic memristors

A group of scientists has created a neural network based on polymeric memristors -- devices that can potentially be used to build fundamentally new computers. These developments will primarily help in...

Scientists build a neural network using plastic memristors

Scientists from the Kurchatov Institute, MIPT, the University of Parma (Italy), Moscow State University, and Saint Petersburg State University have created a neural network based on polymeric memristo...

Making a new generation of memristors for digital memory and computation

Memristors are a new class of electrical circuits—and they could end the silicon era and change electronics forever. Since HP first developed a working prototype with a titanium dioxide film in 2008...

Canadian researchers find geothermal heat pumps most feasible in Halifax

(American Institute of Physics) Researchers at the Université du Québec have recently conducted a survey of four Canadian cities to determine the economic feasibility of installing geothermal heatin...

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China successfully developed 'Darwin,' a neuromorphic chip based on Spiking Neural Networks

Artificial Neural Network (ANN) is a type of information processing system based on mimicking the principles of biological brains, and has been broadly applied in application domains such as pattern r...

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Matching PubMed Articles

Data Clustering using Memristor Networks.

Memristors have emerged as a promising candidate for critical applications such as non-volatile memory as well as non-Von Neumann computing architectures based on neuromorphic and machine learning sys...

Neuromorphic Artificial Touch for Categorization of Naturalistic Textures.

We implemented neuromorphic artificial touch and emulated the firing behavior of mechanoreceptors by injecting the raw outputs of a biomimetic tactile sensor into an Izhikevich neuronal model. Natural...

A Neuromorphic Event-Based Neural Recording System for Smart Brain-Machine-Interfaces.

Neural recording systems are a central component of Brain-Machince Interfaces (BMIs). In most of these systems the emphasis is on faithful reproduction and transmission of the recorded signal to remot...

Memristors: Memory elements in potato tubers.

A memristor is a nonlinear element because its' current-voltage characteristic is similar to that of a Lissajous pattern for nonlinear systems. This element was postulated recently and researchers are...

Complex Learning in Bio-plausible Memristive Networks.

The emerging memristor-based neuromorphic engineering promises an efficient computing paradigm. However, the lack of both internal dynamics in the previous feedforward memristive networks and efficien...

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