Neural Network Simulation

Known as: Neural Networks (Computer), Network, Neural (Computer), Perceptrons 
A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which… (More)
National Institutes of Health

Topic mentions per year

Topic mentions per year

1948-2019
02000400019482018

Related topics

Related topics

2 relations
Artificial Intelligencecomputational neuroscience

Related mentions per year

Related mentions per year

1949-2019
19401960198020002020
Neural Network Simulation
Artificial Intelligence
computational neuroscience

Papers overview

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Review
2017
Review
2017
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models
While deep learning models have achieved state-of-the-art accuracies for many prediction tasks, understanding these models… (More)
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Review
2017
Review
2017
Recent theoretical, neural, and clinical advances in sustained attention research.
Models of attention often distinguish among attention subtypes, with classic models separating orienting, switching, and… (More)
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Review
2017
Review
2017
The Emerging Neuroscience of Intrinsic Motivation: A New Frontier in Self-Determination Research
Intrinsic motivation refers to people's spontaneous tendencies to be curious and interested, to seek out challenges and to… (More)
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Review
2016
Review
2016
Use of machine learning approaches for novel drug discovery.
INTRODUCTION The use of computational tools in the early stages of drug development has increased in recent decades. Machine… (More)
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Highly Cited
2016
Highly Cited
2016
Mastering the game of Go with deep neural networks and tree search
The game of Go has long been viewed as the most challenging of classic games for artificial intelligence owing to its enormous… (More)
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Highly Cited
2006
Highly Cited
2006
Reducing the dimensionality of data with neural networks.
High-dimensional data can be converted to low-dimensional codes by training a multilayer neural network with a small central… (More)
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Highly Cited
1998
Highly Cited
1998
Collective dynamics of ‘small-world’ networks
Networks of coupled dynamical systems have been used to model biological oscillators, Josephson junction arrays,, excitable media… (More)
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Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks Bayesian Learning for Neural Networks
Two features distinguish the Bayesian approach to learning models from data. First, beliefs derived from background knowledge are… (More)
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Highly Cited
1992
Highly Cited
1992
Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps
A neural network architecture is introduced for incremental supervised learning of recognition categories and multidimensional… (More)
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Highly Cited
1990
Highly Cited
1990
Identification and control of dynamical systems using neural networks
It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems… (More)
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