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Search Results for "Feasibility Of Memristors In Neuromorphic Systems"

10:45 EDT 21st April 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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Many questions in the legal system can be answered using scientific techniques. These are termed forensics. Examples inlcude fingerprint recognition, DNA databases, iris (eye) indentification and...


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

MediciGlobal is a specialty patient recruitment-retention organization serving the clinical trials industry. For more than two decades, the company has led the industry in developing innovative p...

Follicle stimulating hormone FSH

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Neuromorphic Computing "Roadmap" Envisions Analog Path to Simulating Human Brain

Read more about Neuromorphic Computing "Roadmap"

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Read more about Neuromorphic computing “roadmap” envisions a

Computer Chips Wired to Learn

New York Times | A new generation of "neuromorphic processors," expected to reach commercial availability in 2014, use synapse-like connections to adapt their response to data inputs over time.

Gore enrolls first patient in Gore TAG thoracic branch endoprosthesis LSA feasibility study

W. L. Gore & Associates has announced that Dr Himanshu Patel and Dr David Williams at The University of Michigan enrolled the first patient in the Gore TAG thoracic branch endoprosthesis LSA feasibili...

Feasibility of Simultaneous FDG PET/MRI of the Heart

Dr. Hossein Jadvar comments on this study from Radiology that assessed the feasibility of simultaneous FDG PET/MRI in patients with myocardial infarction. Medscape Radiology

App Note: Freeman Technology – Optimising continuous wet granulation

Freeman Technology and GEA Pharma Systems have conducted a study to investigate the feasibility of predicting critical quality attributes (CQA) of tablets from intermediate granule properties...

Scimega launches Reverse Feasibility Resource Center to attract oncology trials to Canada

Scimega Research, a Canadian-based oncology CRO with a mission to attract cutting-edge oncology trials to Canada, has launched its new Reverse Feasibility Resource Center, a unique initiative that com...

Seno Medical presents data from feasibility study of Imagio breast imaging device

US-based Seno Medical Instruments has announced new statistical analysis of outcomes from a feasibility study of its investigational Imagio breast imaging device.

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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...

Dynamic neural fields as a step toward cognitive neuromorphic architectures.

Dynamic Field Theory (DFT) is an established framework for modeling embodied cognition. In DFT, elementary cognitive functions such as memory formation, formation of grounded representations, attentio...

Interface Thermodynamic State-induced High-Performance Memristors.

A new class of memristors based on long range ordered CeO2 nanocubes with controlled degree of self-assembly is presented, , in which the regularity and range of the nanocubes can be greatly improved...

Event-driven contrastive divergence for spiking neuromorphic systems.

Restricted Boltzmann Machines (RBMs) and Deep Belief Networks have been demonstrated to perform efficiently in a variety of applications, such as dimensionality reduction, feature learning, and classi...

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