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 ?
Increasing quality and managing complexity in Neuroinformatics Software Development with Continuous Integration.
With scalable neuroinformatics, it's possible to take neuroscientific studies to an entirely new level by eliminating the barrier between the lab and real life.
Blezek, "The design of simpleITK," Frontiers in Neuroinformatics, vol.
Pereda et al., "HERMES: towards an integrated toolbox to characterize functional and effective brain connectivity," Neuroinformatics, vol.
Linden, "Topological filtering of dynamic functional brain networks unfolds informative chronnectomics: a novel data-driven thresholding scheme based on orthogonal minimal spanning trees (OMSTs)," Frontiers in Neuroinformatics, vol.
Seal, "Software Pipeline for Midsagittal Corpus Callosum Thickness Profile Processing: Automated Segmentation, Manual Editor, Thickness Profile Generator, Group-Wise Statistical Comparison and Results Display," Neuroinformatics, vol.
In NDDN, most recordings fell within the similar time range, providing a rich repertoire of data resources for neuroinformatics and modeling researches.
Eickenberg et al., "Machine learning for neuroimaging with scikit-learn," Frontiers in Neuroinformatics, vol.
Park, "Geometric convolutional neural network for analyzing surface-based neuroimaging data," Frontiers in Neuroinformatics, vol.
Bjaalie, "Digital atlas of anatomical subdivisions and boundaries of the rat hippocampal region," Frontiers in Neuroinformatics, vol.
With support from the International Neuroinformatics Coordinating Facility, the Wellcome Trust, and the Simons Foundation (also a funder of The Conversation US), we aim to create that big picture by designing one large-scale experiment that uses the exact same approach to study many different brain areas.
Hence, the area of neuroinformatics becomes one of the basics of learning, how to learn.