Competitive Access Reweighting in Human Perception

Competitive Access Reweighting (CAR) is a testable network-perturbation hypothesis addressing whether information demonstrably represented and behaviorally operative before intervention, but weakly available for explicit report, can become more objectively accessible following reversible perturbation of a competing representational route.The framework separates two nested claims. CAR-A (Access Conversion) tests whether perturbation increases objective explicit access to pre-existing information beyond changes attributable to sensory encoding, response criterion, strategy, practice, arousal, expectancy, sampling, regression to the mean, or nonspecific stimulation effects. CAR-C (Competitive Reweighting) tests the stronger mechanistic prediction that successful access conversion is accompanied by a preregistered redistribution of influence involving a specified competing representational route or network.The paper proposes falsifiable behavioral and neural criteria, sham and active-control requirements, preregistration standards, and an illustrative global/local visual paradigm suitable for experimental testing. CAR is presented as a hypothesis-generating framework rather than an established mechanism or clinical intervention.ENSIR Publication 003 — Version 1.0Emergent Neural Systems Institute for Research (ENSIR)DOI: 10.5281/zenodo.22134767