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14 relations: Artificial neural network, Digital image processing, Hopfield network, Liquid crystal, Neural circuit, Optical switch, Optogenetics, Pattern recognition, Photonics, Quantum neural network, Self-organizing map, Synaptic plasticity, Tracking, Video processing.
Artificial neural network
Artificial neural networks (ANNs) or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains.
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Digital image processing
In computer science, Digital image processing is the use of computer algorithms to perform image processing on digital images.
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Hopfield network
A Hopfield network is a form of recurrent artificial neural network popularized by John Hopfield in 1982, but described earlier by Little in 1974.
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Liquid crystal
Liquid crystals (LCs) are matter in a state which has properties between those of conventional liquids and those of solid crystals.
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Neural circuit
A neural circuit, is a population of neurons interconnected by synapses to carry out a specific function when activated.
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Optical switch
An optical switch is a device that enables optical signals to be selectively switched-on and -off or switched from one channel to another.
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Optogenetics
Optogenetics is a biological technique which involves the use of light to control cells in living tissue, typically neurons, that have been genetically modified to express light-sensitive ion channels.
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Pattern recognition
Pattern recognition is a branch of machine learning that focuses on the recognition of patterns and regularities in data, although it is in some cases considered to be nearly synonymous with machine learning.
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Photonics
Photonics is the physical science of light (photon) generation, detection, and manipulation through emission, transmission, modulation, signal processing, switching, amplification, and detection/sensing.
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Quantum neural network
Quantum neural networks (QNNs) are neural network models which are based on the principles of quantum mechanics.
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Self-organizing map
A self-organizing map (SOM) or self-organizing feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised learning to produce a low-dimensional (typically two-dimensional), discretized representation of the input space of the training samples, called a map, and is therefore a method to do dimensionality reduction.
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Synaptic plasticity
In neuroscience, synaptic plasticity is the ability of synapses to strengthen or weaken over time, in response to increases or decreases in their activity.
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Tracking
Tracking may refer to.
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Video processing
In electronics engineering, video processing is a particular case of signal processing, which often employs video filters and where the input and output signals are video files or video streams.
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