Human cognition can be understood as a predictive, energy-efficient neural system, rather than a mechanism optimized for signal strength or raw processing power. From a neurocognitive perspective, intelligence primarily reflects precision of modulation, not intensity of activation. This model extends traditional frameworks by incorporating the role of metabolic heat as a kinetic facilitator in neural computation.