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22:49 EST 17th January 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 ...

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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...

Convertible resistive switching characteristics between memory switching and threshold switching in a single ferritin-based memristor.

A bio-memristor fabricated with ferritin exhibits novel resistive switching characteristics wherein memory switching and threshold switching are made steadily coexistent and inter-convertible through ...

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...

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