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This paper introduces Accessibility Plasticity, a principle where neural systems adapt by reorganizing which existing computations can interact, rather than solely modifying parameters. A proof-of-concept on sequential learning tasks shows that accessibility adaptation reduces capability modification while maintaining comparable performance.