Increased Entropic Brain Dynamics during DeepDream-Induced Altered Perceptual Phenomenology
EEG recordings showed that DeepDream-modified videos elicited higher entropy and lower complexity in frontal activity across time scales, together with increased undirected connectivity and greater entropy in functional connectivity networks compared with regular videos. These alterations parallel patterns reported under psychedelic drugs, suggesting DeepDream can non‑pharmacologically mimic altered perceptual brain dynamics for neuroimaging research.
Authors
- Greco, A.
- Gallitto, G.
- Rastelli, C.
Published
Abstract
In recent years, the use of psychedelic drugs to study brain dynamics has flourished due to the unique opportunity they offer to investigate the neural mechanisms of conscious perception. Unfortunately, there are many difficulties to conduct experiments on pharmacologically-induced hallucinations, especially regarding ethical and legal issues. In addition, it is difficult to isolate the neural effects of psychedelic states from other physiological effects elicited by the drug ingestion. Here, we used the DeepDream algorithm to create visual stimuli that mimic the perception of hallucinatory states. Participants were first exposed to a regular video, followed by its modified version, while recording electroencephalography (EEG). Results showed that the frontal region’s activity was characterized by a higher entropy and lower complexity during the modified video, with respect to the regular one, at different time scales. Moreover, we found an increased undirected connectivity and a greater level of entropy in functional connectivity networks elicited by the modified video. These findings suggest that DeepDream and psychedelic drugs induced similar altered brain patterns and demonstrate the potential of adopting this method to study altered perceptual phenomenology in neuroimaging research.
Research Summary of 'Increased Entropic Brain Dynamics during DeepDream-Induced Altered Perceptual Phenomenology'
Introduction
Greco and colleagues situate this study within a resurgence of neuroscientific interest in psychedelic substances (for example LSD, psilocybin, ketamine) as tools to probe the neural dynamics of conscious perception. Earlier empirical work has reported increased signal entropy, a larger repertoire of dynamical brain states and altered functional connectivity during pharmacologically induced psychedelic states. Those findings underpin the entropic brain hypothesis, which characterises psychedelic altered consciousness as a higher-entropy regime of brain activity. However, the authors note practical and ethical impediments to pharmacological studies—legal restrictions and difficulty separating direct neural effects from systemic physiological consequences of the drugs. To address these obstacles, the investigators adapted a non-pharmacological method to simulate hallucination-like visual input using the DeepDream algorithm, building on prior behavioural work (the Hallucination Machine). The study set out to test whether DeepDream-modified videos elicit EEG signatures akin to those reported for psychedelic states. Specifically, Greco sought to compare entropy and statistical complexity of EEG time series across multiple time scales, and to examine entropy-related measures of functional connectivity networks, contrasting responses to a regular video (OR) and its DeepDream-modified counterpart (DD). This is presented as the first neurophysiological investigation of artificially induced altered perceptual phenomenology using this approach.
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Study Details
- Study Typeindividual
- Journal
- Topics
- APA Citation
Greco, A., Gallitto, G., D’Alessandro, M., & Rastelli, C. (2021). Increased Entropic Brain Dynamics during DeepDream-Induced Altered Perceptual Phenomenology. Entropy, 23(7), 839. https://doi.org/10.3390/e23070839
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Mediano, P. A. M., Rosas, F. E., Timmermann, C. et al. · ACS Chemical Neuroscience (2024)
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Papers in Blossom that reference this study
Kaup, K. K., Vasser, M., Tulver, K. et al. · Frontiers in Psychiatry (2023)
Ciauncia, A., Safron, A. · Psyarxiv (2022)
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