The phrase "area of memory" is correct and usable in written English.
It can be used in contexts related to computing, psychology, or neuroscience, referring to a specific section or aspect of memory storage or function.
Example: "The area of memory responsible for short-term recall is crucial for daily tasks."
Alternatives: "memory region" or "memory space".
The area of memory that we copy from is called old space and the area of memory that we copy to is called new space.
This is most useful for co-verification in the area of memory.
Finally, Schacter notes one aspect of memory that makes us susceptible to fake news online: That is, "source information" is a particularly vulnerable area of memory.
A buffer is an area of memory that is used to store data, usually on a temporary basis prior to processing it.
Experimenting with this giant system, Roy Trubshaw discovered a mechanism for sharing code across separate teletype machines – an early version of the computer terminal – using an area of memory they weren't supposed to be writing to.
When a piece is chosen by grid co-ordinates, the area of memory corresponding to that co-ordinate will be accessed and two bytes will be read into temporary registers.
You also can't just build willy-nilly in these fraught areas of memory and expect silent acceptance.
Research on additional protections is ongoing, and a leading candidate is "sandboxing"–a technique where untrusted code is run in protected areas of memory and processing space and not allowed to affect other parts of the computer or device.
The default mode network is a very interesting set of structures in the brain that links parts of the cortex including the prefrontal cortex, where our executive function is to deeper older areas of memory and emotion.
Analysis showed that there is an increased risk (odds ratio of 3) with a hypersensitive pupil response (≥13% increase in pupil diameter over baseline diameter) for developing significant cognitive impairment in areas of memory attention and language in a pattern, consistent with pre-clinical Alzheimer's disease.
The technology can identify differences between what the patient said in previous conversations and flag areas of memory loss.
