A Neurocognitive Threshold-Adaptation Map for Stress, Resilience, Sensitization, and Shutdown

NTAM is a discrete-time systems-level computational scaffold for activation load, stress pressure, threshold entry and occupancy, adaptive regulatory traces, maladaptive sensitizing traces, and bounded mode states. The synchronized v2.8 release integrates canonical reference scenarios, invariant tests, an equal-dose stress-shape audit, and a 189-cell priming-state sweep. The archived source bundle provides runnable Python and Wolfram Language implementations, frozen reference outputs, verification scripts, audit data, manuscript source, and SHA-256 integrity hashes. The reported results are model-internal computational findings and do not constitute empirical neuroscience, diagnosis, treatment validation, or a biological neural-circuit model.