The Hallucination Machine: A Deep-Dream VR platform for Studying the Phenomenology of Visual Hallucinations
Keisuke Suzuki, Warrick Roseboom, David J. Schwartzman, Anil K. Seth
bioRxiv Preprint Server November 3, 2017 preprint DOI: 10.1101/213751 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Experimental study |
|---|---|
| Topics | Philosophy of mind |
| Citations | 2 |
| Key findings | The Hallucination Machine induces visual phenomenology similar to classical psychedelics but does not produce temporal distortion. |
Abstract
Altered states of consciousness, such as psychotic or pharmacologically-induced hallucinations, provide a unique opportunity to examine the mechanisms underlying conscious perception. However, the phenomenological properties of these states are difficult to isolate experimentally from other, more general physiological and cognitive effects of psychoactive substances or psychopathological conditions. Thus, simulating phenomenological aspects of altered states in the absence of these other more general effects provides an important experimental tool for consciousness science and psychiatry. Here we describe such a tool, the Hallucination Machine. It comprises a novel combination of two powerful technologies: deep convolutional neural networks (DCNNs) and panoramic videos of natural scenes, viewed immersively through a head-mounted display (panoramic VR). By doing this, we are able to simulate visual hallucinatory experiences in a biologically plausible and ecologically valid way. Two experiments illustrate potential applications of the Hallucination Machine. First, we show that the system induces visual phenomenology qualitatively similar to classical psychedelics. In a second experiment, we find that simulated hallucinations do not evoke the temporal distortion commonly associated with altered states. Overall, the Hallucination Machine offers a valuable new technique for simulating altered phenomenology without directly altering the underlying neurophysiology.
Comparable studies
Other experimental studies on philosophy of mind, most cited first.
| Study | Year | Design | Participants |
|---|---|---|---|
| A Deep-Dream Virtual Reality Platform for Studying Altered Perceptual Phenomenology | 2017 | Experimental study | |
| New World Tryptamine Hallucinogens and the Neuroscience of Ayahuasca. | 2018 | Review with original neuroimaging and neurophysiological data | |
| Differential contributions of serotonergic and dopaminergic functional connectivity to the phenomenology of LSD Healthy adults | 2022 | Secondary analysis of experimental data | n = 15 |
| TMS-EEG and resting-state EEG applied to altered states of consciousness: oscillations, complexity, and phenomenology. | 2023 | Experimental study | |
| Training novice practitioners to reliably report their meditation experience using shared phenomenological dimensions. Novice meditation practitioners | 2019 | Neurophenomenological experiment |
Citations in the library
Cites 15
- Psilocybin with psychological support for treatment-resistant depression: an open-label feasibility study. The Lancet Psychiatry May 17, 2016
- The entropic brain: a theory of conscious states informed by neuroimaging research with psychedelic drugs Frontiers in Human Neuroscience 2014
- Neural correlates of the psychedelic state as determined by fMRI studies with psilocybin Proceedings of the National Academy of Sciences January 23, 2012
- The Standardized Psychometric Assessment of Altered States of Consciousness (ASCs) in Humans Pharmacopsychiatry July 1, 1998
- Broadband Cortical Desynchronization Underlies the Human Psychedelic State Journal of Neuroscience September 18, 2013
and 10 more in the library