Integrative Mechanisms

The capacity to access one's own evaluative processes and act on them is state-dependent. Neurobiological state constrains this capacity in specific, measurable ways.

Catecholamine-mediated state changes occur at timescales (seconds to minutes) that exceed unaided human tracking capacity. Computational systems integrating AI understanding with physiological sensing are necessary for real-time state estimation.

Controllability detection has specific neural circuitry (vmPFC-DRN) that is computationally specific to instrumental contingency and provides proactive resilience from prior controllable experience.

Under stress, the system that estimates controllability is biased toward perceiving uncontrollability, creating a positive feedback loop that prevents activation of the protective vmPFC pathway and permits further stress escalation.

The hippocampal vSub-NAcc-VP-VTA pathway regulates DA neuron population gain. Environmental variables modulate this gain. The same circuit implements adaptive learning and, when dysregulated, produces the catecholamine disruption that degrades PFC function.