Neural network models for DMT-induced visual hallucinations
Author(s) -
Michael Schartner,
Christopher Timmermann
Publication year - 2020
Publication title -
neuroscience of consciousness
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.13
H-Index - 6
ISSN - 2057-2107
DOI - 10.1093/nc/niaa024
Subject(s) - serotonergic , visual hallucination , perception , neuroscience , psychology , cognitive psychology , sensory system , visual perception , sensory gating , gating , cognitive science , serotonin , chemistry , biochemistry , receptor , psychiatry
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.
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