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Search Results for "Bio Memristor"

14:51 EST 2nd December 2016 | 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...

Experiments demonstrate how memristors work

In experiments at two Department of Energy national labs – SLAC National Accelerator Laboratory and Lawrence Berkeley National Laboratory – scientists at Hewlett Packard Enterprise (HPE) have expe...

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...

Existence and global exponential stability of periodic solution of memristor-based BAM neural networks with time-varying delays.

In this paper, we investigate a class of memristor-based BAM neural networks with time-varying delays. Under the framework of Filippov solutions, boundedness and ultimate boundedness of solutions of m...

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...

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