 A third and very different way of thinking about representational structure arises from the perspective of connectionism, a position in cognitive science and computational theory. According to connectionism, cognition proceeds by activation streaming through a series of “nodes” connected by adjustable “connection weights”—somewhat as neural networks in the brain can have different levels of activation and different strengths of connection between each other. It is sometimes suggested (e.g., by van Gelder 1990; Smolensky 1995; Shea 2007) that the structure of connectionist networks is representational but non-linguistic or non-“compositional”; and perhaps so also is human representational structure. However, it would take us too far afield to enter this technical issue here. (For more on this topic see the entry on  connectionism.)