Neural network models for DMT-induced visual hallucinations

Summary

Psychedelic alkaloids like N,N-Dimethyltryptamine profoundly alter visual perception, offering unique insights into consciousness. Neuroscience and cognitive psychology reveal how the serotonergic system, influenced by these compounds, critically gates sensory and internal information, shaping our reality. Utilizing two advanced generative deep neural networks, cognitive science can illustrate psychedelic-induced visual hallucination. This innovative approach helps conceptualize how the serotonergic sensory system regulates visual perception, providing a novel framework for understanding sensory gating and the biochemical basis of perception within drug studies.

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.

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