Search Results for "Feasibility Of Memristors In Neuromorphic Systems"

11:33 EDT 17th September 2014 | BioPortfolio

Original Source: A Functional Hybrid Memristor Crossbar-Array/CMOS System for Data Storage and Neuromorphic Applications.

Crossbar arrays based on two-terminal resistive switches have been proposed as a leading candidate for future memory and logic applications. Here we demonstrate a high-density, fully operational hybrid crossbar/CMOS system composed of a transistor- and diode-less memristor crossbar array vertically integrated on top of a CMOS chip by taking advantage of the intrinsic nonlinear characteristics of the memristor element. The hybrid crossbar/CMOS system can reliably store complex binary and multilevel 1600 pixe...

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MediciGlobal is a specialty patient recruitment-retention organization serving the clinical trials industry

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Metal particles in solids aren't as fixed as they seem, memristor study shows

In work that unmasks some of the magic behind memristors and "resistive random access memory," or RRAM—cutting-edge computer components that combine logic and memory functions—researchers have sho...

Neuromorphic computing “roadmap” envisions analog path to simulating human brain

Read more about Neuromorphic computing “roadmap” envisions a

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Read more about Neuromorphic Computing "Roadmap"

PSI CRO presents the changing dynamic of clinical trial feasibility at PCMG meeting

PSI CRO, a full-service contract research organization, announced today that Kasia Moscicka, Director Feasibility Research and Patient Recruitment Services, presented on the changing dynamic of clinic...

Brain-Inspired Computing Reaches a New Milestone

For the past few years, tech companies and academic researchers have been trying to build so-called neuromorphic computer architectures—chips that mimic the human brain's ability to be both... ...

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Programming time-multiplexed reconfigurable hardware using a scalable neuromorphic compiler.

Scalability and connectivity are two key challenges in designing neuromorphic hardware that can match biological levels. In this paper, we describe a neuromorphic system architecture design that addre...

An adaptable neuromorphic model of orientation selectivity based on floating gate dynamics.

The biggest challenge that the neuromorphic community faces today is to build systems that can be considered truly cognitive. Adaptation and self-organization are the two basic principles that underli...

Tunable low energy, compact and high performance neuromorphic circuit for spike-based synaptic plasticity.

Cortical circuits in the brain have long been recognised for their information processing capabilities and have been studied both experimentally and theoretically via spiking neural networks. Neuromor...

A robust sound perception model suitable for neuromorphic implementation.

We have recently demonstrated the emergence of dynamic feature sensitivity through exposure to formative stimuli in a real-time neuromorphic system implementing a hybrid analog/digital network of spik...

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