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Search Results for "Feasibility Of Memristors In Neuromorphic Systems"

02:02 EDT 17th October 2017 | BioPortfolio

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Chaotic dynamics in nanoscale NbO2 Mott memristors for analogue computing

At present, machine learning systems use simplified neuron models that lack the rich nonlinear phenomena observed in biological systems, which display spatio-temporal cooperative dynamics. There is ev...

Intel’s New Brain-Like Chip Will Learn on the Fly

The brain has long inspired the design of computers and their software. Now Intel has become the latest tech company to decide that mimicking the brain’s hardware could be the next stage in the evol...

Intel Jumps Into Brain-Like Computing With New Self-Learning Chip

The brain has long inspired the design of computers and their software. Now Intel has become the latest tech company to decide that mimicking the brain’s hardware could be the next stage in the evol...

Will brain-inspired chips make a dent in science's big data problems?

Although neuromorphic computing is still in its infancy, researchers hope that these tiny, low-power, brain-inspired computing systems could one day help alleviate some of science’s big data challen...

Neuromorphic computing with nanoscale spintronic oscillators

Neurons in the brain behave as nonlinear oscillators, which develop rhythmic activity and interact to process information. Taking inspiration from this behaviour to realize high-density, low-power neu...

Pfizer Enters Feasibility Study Agreement Evaluating Alcyone’s Pulsar Technology for Use in Gene Therapy Targeting CNS Disorders

LOWELL, Mass., June 29, 2017 /PRNewswire/ — Alcyone Lifesciences, Inc., a leader in precision advanced central nervous system (CNS) delivery systems announced that it has entered into a feasibil...

Neuron transistor behaves like a brain neuron

(Phys.org)—Researchers have built a new type of "neuron transistor"—a transistor that behaves like a neuron in a living brain. These devices could form the building blocks of neuromorphic hardware...

New Photonic Synapses Mimic the Brain and Compute With Light

Computing with light and designing brain-inspired hardware are at the experimental fringes of technology research. But they both come with potentially enormous advantages, so a group of scientists has...

Matching PubMed Articles

Brain-Inspired Photonic Neuromorphic Devices using Photodynamic Amorphous Oxide Semiconductors and their Persistent Photoconductivity.

The combination of a neuromorphic architecture and photonic computing may open up a new era for computational systems owing to the possibility of attaining high bandwidths and the low-computation-powe...

Silicon synaptic transistor for hardware-based spiking neural network and neuromorphic system.

Brain-inspired neuromorphic systems have attracted much attention as new computing paradigms for power-efficient computation. Here, we report a silicon synaptic transistor with two electrically indepe...

Chaotic dynamics in nanoscale NbO2 Mott memristors for analogue computing.

At present, machine learning systems use simplified neuron models that lack the rich nonlinear phenomena observed in biological systems, which display spatio-temporal cooperative dynamics. There is ev...

Neuromorphic Hardware Architecture Using the Neural Engineering Framework for Pattern Recognition.

We present a hardware architecture that uses the neural engineering framework (NEF) to implement large-scale neural networks on field programmable gate arrays (FPGAs) for performing massively parallel...

New Conditions for Global Asymptotic Stability of Memristor Neural Networks.

Recent papers in the literature introduced a class of neural networks (NNs) with memristors, named dynamic-memristor (DM) NNs, such that the analog processing takes place in the charge-flux domain, in...

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