Modelling phenomenological differences in aetiologically distinct visual hallucinations using deep neural networks
Keisuke Suzuki, Anil K. Seth, David J. Schwartzman
Frontiers in Human Neuroscience January 3, 2024 DOI: 10.3389/fnhum.2023.1159821 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Observational study with experimental validation Peer reviewed |
|---|---|
| Population | Patients with neurodegenerative conditions (Parkinson's Disease and Lewy Body Dementia), patients with Charles Bonnet Syndrome, and people with recent psychedelic experience |
| Keywords | Phenomenology philosophy Lewy body Cognitive psychology Visual hallucination Phenomenological method Visual perception Parkinson's disease Cognitive science Epistemology |
| Citations | 20 |
| Key findings | Visual hallucinations from neurodegenerative conditions, visual loss, and psychedelics differ along dimensions of realism, spontaneity, and complexity, and synthetic hallucinations generated by a neural network model matched the phenomenology reported by each group. |
Abstract
Visual hallucinations (VHs) are perceptions of objects or events in the absence of the sensory stimulation that would normally support such perceptions. Although all VHs share this core characteristic, there are substantial phenomenological differences between VHs that have different aetiologies, such as those arising from Neurodegenerative conditions, visual loss, or psychedelic compounds. Here, we examine the potential mechanistic basis of these differences by leveraging recent advances in visualising the learned representations of a coupled classifier and generative deep neural network—an approach we call ‘computational (neuro)phenomenology’. Examining three aetiologically distinct populations in which VHs occur—Neurodegenerative conditions (Parkinson’s Disease and Lewy Body Dementia), visual loss (Charles Bonnet Syndrome, CBS), and psychedelics—we identified three dimensions relevant to distinguishing these classes of VHs: realism (veridicality), dependence on sensory input (spontaneity), and complexity. By selectively tuning the parameters of the visualisation algorithm to reflect influence along each of these phenomenological dimensions we were able to generate ‘synthetic VHs’ that were characteristic of the VHs experienced by each aetiology. We verified the validity of this approach experimentally in two studies that examined the phenomenology of VHs in Neurodegenerative and CBS patients, and in people with recent psychedelic experience. These studies confirmed the existence of phenomenological differences across these three dimensions between groups, and crucially, found that the appropriate synthetic VHs were rated as being representative of each group’s hallucinatory phenomenology. Together, our findings highlight the phenomenological diversity of VHs associated with distinct causal factors and demonstrate how a neural network model of visual phenomenology can successfully capture the distinctive visual characteristics of hallucinatory experience.
Citations in the library
Cited by 11
- Unpacking the complexities of consciousness: Theories and reflections. Neuroscience & Biobehavioral Reviews March 1, 2025
- Consciousness science: where are we, where are we going, and what if we get there? Frontiers in Science October 30, 2025
- A beautiful loop: An active inference theory of consciousness. Neuroscience & Biobehavioral Reviews September 1, 2025
- Visual Hallucinations in Serotonergic Psychedelics and Lewy Body Diseases Schizophrenia Bulletin April 17, 2025
- A Large-Scale Computer-Vision Mapping of the Geometric Structures of Stroboscopically-Induced Visual Hallucinations bioRxiv (Cold Spring Harbor Laboratory) February 18, 2026
and 6 more in the library
Cites 26
- REBUS and the Anarchic Brain: Toward a Unified Model of the Brain Action of Psychedelics Pharmacological Reviews June 20, 2019
- Acute, subacute and long-term subjective effects of psilocybin in healthy humans: a pooled analysis of experimental studies Journal of Psychopharmacology September 20, 2010
- Broadband Cortical Desynchronization Underlies the Human Psychedelic State Journal of Neuroscience September 18, 2013
- Guiding the study of brain dynamics by using first-person data: Synchrony patterns correlate with ongoing conscious states during a simple visual task Proceedings of the National Academy of Sciences January 22, 2002
- Dose-Response Study of N,N-Dimethyltryptamine in Humans Archives of General Psychiatry February 1, 1994
and 21 more in the library