Neural gas is a type of learning algorithm that helps computers to understand patterns and relationships. It works by starting with a group of randomly placed points and then moving them around until certain patterns begin to form. It's kind of like when you put a pile of Lego pieces on the floor and move them around until they form a picture. In the same way, neural gas pieces will move around until they form a pattern. This helps the computer understand relationships between things.