A neural network, also called a neuronal network, is an interconnected population of neurons (typically containing multiple neural circuits). Biological...

to solve artificial intelligence problems. In the context of biology, a neural network is a population of biological neurons chemically connected to...

neural network in Wiktionary, the free dictionary. A neural network is an interconnected population of neurons: Neural network (biology), a network of...

Recurrent neural networks (RNNs) are a class of artificial neural networks for sequential data processing. Unlike feedforward neural networks, which process...

A graph neural network (GNN) belongs to a class of artificial neural networks for processing data that can be represented as graphs. In the more general...

In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function...

A Siamese neural network (sometimes called a twin neural network) is an artificial neural network that uses the same weights while working in tandem on...

A convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns features by itself via filter (or kernel) optimization...

Deep learning is a subset of machine learning methods based on neural networks with representation learning. The field takes inspiration from biological...

encompasses the branch of biology that deals with the anatomy, biochemistry, molecular biology, and physiology of neurons and neural circuits. It also encompasses...

Lateral visual Temporal Visual perception/imagery Complex network Neural network (biology) Riedl, Valentin; Utz, Lukas; Castrillón, Gabriel; Grimmer...

developed by Ian Goodfellow and his colleagues in June 2014. In a GAN, two neural networks contest with each other in the form of a zero-sum game, where one agent's...

learning, cellular neural networks (CNN) or cellular nonlinear networks (CNN) are a parallel computing paradigm similar to neural networks, with the difference...

of the vertebrate clade. Underlying the development of neural crest is a gene regulatory network, described as a set of interacting signals, transcription...

Neural oscillations, or brainwaves, are rhythmic or repetitive patterns of neural activity in the central nervous system. Neural tissue can generate oscillatory...

intelligence that uses evolutionary algorithms to generate artificial neural networks (ANN), parameters, and rules. It is most commonly applied in artificial...

represents a scene as a radiance field parametrized by a deep neural network (DNN). The network predicts a volume density and view-dependent emitted radiance...

vertebrates), the neural tube is the embryonic precursor to the central nervous system, which is made up of the brain and spinal cord. The neural groove gradually...

a convolutional neural network that was developed for image segmentation. The network is based on a fully convolutional neural network whose architecture...

Fast Artificial Neural Network (FANN) is cross-platform programming library for developing multilayer feedforward artificial neural networks (ANNs). It is...

gene regulatory networks not present in the Boolean model. Formally most of these approaches are similar to an artificial neural network, as inputs to a...

in biology to the amount of influence the firing of one neuron has on another. The term is typically used in artificial and biological neural network research...

to the perception of whole objects and patterns. Visual system Neural network (biology) Connectionism Human multitasking Multiple object tracking Parallel...

processes in the brain and the other focused on the application of neural networks to artificial intelligence. Warren Sturgis McCulloch was born in Orange...

Neural coding (or neural representation) is a neuroscience field concerned with characterising the hypothetical relationship between the stimulus and the...

neural morphology, the facts of developmental and evolutionary biology, and the theory of natural selection into a detailed model of real-time neural...

Julian; Raff, Martin; Roberts, Keith; Walter, Peter (2002). "Neural Development". Molecular Biology of the Cell (4 ed.). New York: Garland Science. ISBN 9780815332183...

known for his study of associative neural network in 1982. The model is now more commonly known as the Hopfield network, although the model was conceptualized...

organization with greater complexity, including living cells, neural networks (biology), ecosystems, society, and other systems formed from assemblies...

tensor network theory was the simulated automated landing of a damaged F-15 fighter jet on one wing using a "Transputer parallel computer neural network"....