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...

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...

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

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

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...

Physics-informed neural networks (PINNs), also referred to as Theory-Trained Neural Networks (TTNs), are a type of universal function approximators that...

learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation...

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

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

A Hopfield network (or associative memory) is a form of recurrent neural network, or a spin glass system, that can serve as a content-addressable memory...

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...

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

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

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

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

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...

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...

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...

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...

Long short-term memory (LSTM) is a type of recurrent neural network (RNN) aimed at mitigating the vanishing gradient problem commonly encountered by traditional...

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

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

They considered neural networks that operate in discrete steps of time t = 0 , 1 , … {\displaystyle t=0,1,\dots } . The neural network contains a number...

artificial neural network to abruptly and drastically forget previously learned information upon learning new information. Neural networks are an important...

Neuroplasticity, also known as neural plasticity or brain plasticity, is the ability of neural networks in the brain to change through growth and reorganization...