Search Results for "Bio Memristor"

21:26 EDT 23rd April 2017 | BioPortfolio

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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...

Lag Synchronization Criteria for Memristor-Based Coupled Neural Networks via Parameter Mismatches Analysis Approach.

This letter focuses on lag synchronization control analysis for memristor-based coupled neural networks with parameter mismatches. Due to the parameter mismatches, lag complete synchronization in gene...

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...

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