A neural circuit is a population of neurons interconnected by synapses to carry out a specific function when activated. Multiple neural circuits interconnect with one another to form large scale brain networks.
Neural circuits have inspired the design of artificial neural networks, though there are significant differences.
Cryonics (from Greek: κρύος kryos, meaning "cold") is the low-temperature freezing (usually at −196 °C or −320.8 °F or 77.1 K) and storage of human remains in the hope that resurrection may be possible in the future. Cryonics is regarded with skepticism by the mainstream scientific community. It is generally viewed as a pseudoscience, and its practice has been characterized as quackery.
Cryonics procedures can begin only after the "patients" are clinically and legally dead. Procedures may begin within minutes of death, and use cryoprotectants to try to prevent ice formation during cryopreservation. It is not possible to reanimate a corpse that has undergone vitrification (ultra-rapid cooling), as this damages the brain, including its neural circuits. The first corpse to be frozen was that of James Bedford, in 1967. As of 2014, remains from about 250 bodies had been cryopreserved in the United States, and 1,500 people had made arrangements for cryopreservation of theirs.
A neural network, also called a neuronal network, is an interconnected population of neurons (typically containing multiple neural circuits). Biological neural networks are studied to understand the organization and functioning of nervous systems.
Closely related are artificial neural networks, machine learning models inspired by biological neural networks. They consist of artificial neurons, which are mathematical functions that are designed to be analogous to the mechanisms used by neural circuits.