Definition: Neonetics are a term that describes certain types of neural networks, particularly those that operate on the neonate or zebrafish model of the nervous system. The term "neonetics" was coined by researchers at the University of California, Berkeley in 2018 and refers to neuroimaging studies where neurons are exposed to light (typically white light) during training. This technique allows for the observation of how neurons respond to stimuli. Neonetics allow for a detailed study of neural circuits that have been previously thought to be isolated from their natural environment. These neural systems can mimic the behavior and physiology of other species, such as humans or zebrafish. The term neonetics is often used in conjunction with "bright field imaging," which focuses on how light interacts with cells at a molecular level. It's important to note that neonetics have not been extensively studied yet and are still undergoing development. Additionally, neonetics can be used for various purposes such as neuroimaging, research, or even for training neural networks in artificial intelligence.

Neonetics

Definition: Net - in computer science, an abstraction representing a network. Definition: In computer networking, a network is a collection of devices or computers that share resources such as data transmission, processing power, memory capacity, and storage space over a common communication link. These devices communicate with each other using the same protocol, providing seamless connectivity between them. Nets are often used for data exchange, where different applications can access shared data within an infrastructure.

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