Pattern recognition, as articulated by Jamie Wheal, is the cognitive capacity to intuitively perceive and make sense of underlying structures and recurring themes in complex and multifaceted data streams. It involves discerning connections and extracting meaning from seemingly disparate elements, thereby enabling a deeper understanding of intrinsic systems and potential future trends. This process mirrors the ability to navigate and decode the tapestry of the human experience, where recognizing patterns offers profound insights into behaviors, ecosystems, and the broader fabric of reality. Such recognition is not merely analytical but also deeply intuitive, often resonating with a sense of aesthetic or emotional coherence that defies simplistic linear explanation.

See also: flow state, peak experience, default mode network, altered state