Neural network models for DMT-induced visual hallucinations. Issue 1 (12th December 2020)

• Record Type: Journal Article
• Authors: Schartner, Michael M; Timmermann, Christopher
• Is Part Of: Neuroscience of consciousness. Issue 1(2020)
• Publication Date: 2020-12-12
• Subjects: computational modelling -- imagery -- perception -- pharmacology; Consciousness -- Periodicals; Consciousness -- Physiological aspects -- Periodicals; 612.823
• DOI: 10.1093/nc/niaa024
• Languages: English
• ISSNs: 2057-2107

Abstract

Abstract: The regulatory role of the serotonergic system on conscious perception can be investigated perturbatorily with psychedelic drugs such as N, N-Dimethyltryptamine. There is increasing evidence that the serotonergic system gates prior (endogenous) and sensory (exogenous) information in the construction of a conscious experience. Using two generative deep neural networks as examples, we discuss how such models have the potential to be, firstly, an important medium to illustrate phenomenological visual effects of psychedelics—besides paintings, verbal reports and psychometric testing—and, secondly, their utility to conceptualize biological mechanisms of gating the influence of exogenous and endogenous information on visual perception.