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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… Expand
National Institutes of Health

Related topics

Related topics

2 relations
Artificial Intelligencecomputational neuroscience

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Memristive crossbar arrays for brain-inspired computing
With their working mechanisms based on ion migration, the switching dynamics and electrical behaviour of memristive devices… Expand
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Review
2019
Review
2019
Deep neural networks in psychiatry
Machine and deep learning methods, today’s core of artificial intelligence, have been applied with increasing success and impact… Expand
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Review
2019
Review
2019
Continual Lifelong Learning with Neural Networks: A Review
Humans and animals have the ability to continually acquire, fine-tune, and transfer knowledge and skills throughout their… Expand
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Review
2019
Review
2019
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.
OBJECTIVES The objective of this study was to compare performance of logistic regression (LR) with machine learning (ML) for… Expand
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Review
2019
Review
2019
Theories of Error Back-Propagation in the Brain
This review article summarises recently proposed theories on how neural circuits in the brain could approximate the error back… Expand
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Review
2019
Review
2019
Machine learning in mental health: a scoping review of methods and applications.
BACKGROUND This paper aims to synthesise the literature on machine learning (ML) and big data applications for mental health… Expand
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Review
2019
Review
2019
Recent Advances in Physical Reservoir Computing: A Review
Reservoir computing is a computational framework suited for temporal/sequential data processing. It is derived from several… Expand
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Review
2019
Review
2019
PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration
Prediction models in health care aim to predict for an individual whether a particular outcome, such as disease, is present… Expand
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Review
2019
Review
2019
Deep learning-based electroencephalography analysis: a systematic review
Electroencephalography (EEG) is a complex signal and can require several years of training to be correctly interpreted. Recently… Expand
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Review
2019
Review
2019
Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models
Interpretation and diagnosis of machine learning models have gained renewed interest in recent years with breakthroughs in new… Expand
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