Beyond the reducing valve: towards a computational neurophenomenology of altered states via deep neural networks

Altered states of consciousness, including hallucinations, psychedelic experiences, and ego dissolution, differ qualitatively, yet no unified computational framework describes what varies and along which dimensions. Computational phenomenology (CP) has emerged as a promising bridge between first-person experience and computational models, yet current formalisations rely predominantly on the free energy principle (FEP). This paper proposes the C × G × D framework, drawing on three functional role