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15:56 EDT 26th August 2016 | BioPortfolio

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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...

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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 ...

Function projective synchronization of memristor-based Cohen-Grossberg neural networks with time-varying delays.

This paper deals with the problem of function projective synchronization for a class of memristor-based Cohen-Grossberg neural networks with time-varying delays. Based on the theory of differential eq...

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