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Search Results for "Bio Memristor"

08:56 EST 23rd February 2017 | BioPortfolio

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New "Artificial Synapse" Gets Closer to Mimicking Brain Connections

The so-called memristor's resistance relies on how much charge has already passed through it  -- Read more on ScientificAmerican.com

Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing

Calcium ions play a vital role in enabling synaptic plasticity in biological systems. The dynamic behaviour of these ions has now been emulated in a metal atom diffusion-based memristor.

'Missing link' found in the development of bioelectronic medicines

A nanoscale device, called a memristor, could be the ‘missing link’ in the development of implants that use electrical signals from the brain to help treat medical conditions, researchers have fou...

First demonstration of brain-inspired device to power artificial systems

SOURCE October 2016 (Nanowerk News) New research, led by the University of Southampton, has demonstrated that a nanoscale device, called a memristor, could be used to power artificial systems that can...

Brain-inspired device to power artificial systems

New research has demonstrated that a nanoscale device, called a memristor, could be used to power artificial systems that can mimic the human brain. Artificial neural networks (ANNs) exhibit learning ...

Global Inductor Market by Type Fixed Inductor, Variable Inductor, Couple Inductor, Multilayer Inductor, Power Inductor, and Surface Mount Inductor, by Application, and by Geography Analysis and Forecast 2014 2019 Prices from USD $4250

Inductors are one of the four fundamental types of passive electronic components, the other three being the resistor, the capacitor, and the memristor. Inductors are formed with the help of a wire tig...

Next Generation Memory Market by Technology Nonvolatile memory MRAM, FRAM, PCM, and RRAM, Volatile Memory DRAM TRAM, TTRAM, and others and SRAM ZRAM and others, Application Geography Global Forecast to 2013 2020 Prices from USD $5650

The global next generation memory market is witnessing a very high growth rate as the need for advanced high density memories that can cater to the needs of the ever evolving complex computing systems...

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Linearized Programming of Memristors for Artificial Neuro-Sensor Signal Processing.

A linearized programming method of memristor-based neural weights is proposed. Memristor is known as an ideal element to implement a neural synapse due to its embedded functions of analog memory and a...

Improving Detection Accuracy of Memristor-Based Bio-Signal Sensing Platform.

Recently a novel neuronal activity sensor exploiting the intrinsic thresholded integrator capabilities of memristor devices has been proposed. Extracellular potentials captured by a standard bio-signa...

Passivity of memristor-based BAM neural networks with different memductance and uncertain delays.

This paper addresses the passivity problem for a class of memristor-based bidirectional associate memory (BAM) neural networks with uncertain time-varying delays. In particular, the proposed memristiv...

Repeatable, accurate, and high speed multi-level programming of memristor 1T1R arrays for power efficient analog computing applications.

Beyond use as high density non-volatile memories, memristors have potential as synaptic components of neuromorphic systems. We investigated the suitability of tantalum oxide (TaO x ) transistor-memris...

Exponential Stability of Almost Periodic Solutions for Memristor-Based Neural Networks with Distributed Leakage Delays.

In this letter, we deal with a class of memristor-based neural networks with distributed leakage delays. By applying a new Lyapunov function method, we obtain some sufficient conditions that ensure th...

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