neural network

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neural network

also neural net
n.
A device or software program in which many interconnected elements process information simultaneously, adapting and learning from past patterns. Neural networks are often used to model the human brain.

neural network

n
1. (Physiology) an interconnected system of neurons, as in the brain or other parts of the nervous system
2. (Computer Science) Also called: neural net an analogous network of electronic components, esp one in a computer designed to mimic the operation of the human brain

neu′ral net′work


n.
1. any group of neurons that conduct impulses in a coordinated manner, as the assemblages of brain cells that record a visual stimulus.
2. Also called neu′ral net′. a computer model designed to simulate the behavior of biological neural networks, as in pattern recognition, language processing, and problem solving, with the goal of self-directed information processing.
[1985–90]
neural, neural network - Neural comes from Greek neuron, "nerve"; neural network can now refer to computer architecture in which processors are connected in a manner suggestive of connections between neurons.
See also related terms for network.
ThesaurusAntonymsRelated WordsSynonymsLegend:
Noun1.neural network - computer architecture in which processors are connected in a manner suggestive of connections between neurons; can learn by trial and error
computer architecture - the art of assembling logical elements into a computing device; the specification of the relation between parts of a computer system
2.neural network - any network of neurons or nuclei that function together to perform some function in the body
nervous system, systema nervosum - the sensory and control apparatus consisting of a network of nerve cells
reticulum - any fine network (especially one in the body composed of cells or blood vessels)
reticular formation, RF - a complex neural network in the central core of the brainstem; monitors the state of the body and functions in such processes as arousal and sleep and attention and muscle tone
RAS, reticular activating system - the network in the reticular formation that serves an alerting or arousal function
Translations
réseau neuronal

neural network

n (Anat) → Nervennetzwerk nt; (Comput) → neurales Netz
References in periodicals archive ?
The strong presence of neuromorphic chip vendors in this region is expected to contribute to the industry growth in the region.
For forecasting in the short term, Aparicio envisions two devices--one that performs question-and-answer operations, like Wolfram I Alpha and IBM's Watson, and the other a neuromorphic chip that notices patterns and points out things that are possibly of interest.
As part of the project, researchers in Germany used a neuromorphic chip and software modeled on insects' odor-processing systems to recognize plant species by their flowers.
Intel is also working on a so-called neuromorphic chip called Loihi that mimics the human brain, and of course has the Myriad X chip designed specifically for machine vision.
Another group in Germany recently reported using a neuromorphic chip and software modeled on insects' odor-processing systems to recognize plant species by their flowers.
HRL hopes to improve its chips by enabling the silicon neurons to regulate their own firing rate as those in brains do, and IBM is wiring the connections between cores on its latest neuromorphic chip in a new way, using insights from simulations of the connections between different regions of the cortex of a macaque.
These neuromorphic chips will one day provide productivity benefits to otherwise tedious, time-intensive jobs for humans, he says.
Unlike traditional chips that process combinations of 0s and 1s as binary code, neuromorphic chips process spikes of electrical current that fire in complex combinations, similar to how neurons fire inside a brain.
Hof, "10 Technology Breakthroughs: 2014: Neuromorphic Chips," MIT Technology Review, April 23, 2014, www.
The hardware platform proposed was a combination of a FPGA and neuromorphic chips which promise 4-5 orders of magnitude reduction in power over conventional processors, such as being developed at Stanford and at GIT.
Workshop attendees will use ChipGen, a silicon compiler for neuromorphic chips developed at Penn using Tanner's L-Comp macros, part of a standard tool suite, which includes L-Edit(R) Layout, DRC, LVS, Place and Route and T-Spice Pro(R).
But the speed and efficiency offered by neuromorphic chips won't stop there - reducing power draw by several orders of magnitude will allow such tasks to come out of the cloud entirely.