Using this coupled deep neural network architecture, we generated synthetic VHs that captured three dimensions of hallucinatory phenomenology which broadly characterise variations in VHs: their veridicality, spontaneity, and complexity. (5/n)

We verified the validity of this approach experimentally in two separate studies that investigated variations in hallucinatory experience in neurological-CBS patients and people with recent psychedelic experience. (6/n)