Fernando Rosas
Lecturer in Informatics and Complexity Science
Data updated
Research Footprint
Fernando Rosas appears in 24 tracked papers (2021–2026), most studied alongside Psilocybin, LSD and DMT, across Depressive Disorders, Anxiety Disorders and Neuroimaging & Brain Measures.
Most-cited paper: Human brain effects of DMT assessed via EEG-fMRI (213 citations).
Frequent co-authors: Robin Carhart-Harris, David Nutt and David Erritzoe.
Background & Research
Fernando Rosas is a researcher at the University of Sussex and Imperial College London, specializing in complexity science and computational neuroscience. His work integrates machine learning to reveal how the human brain processes collective experiences and how environmental factors (setting) influence the quality of psychedelic states. His multidisciplinary background spans music composition, mathematics, and engineering.
Key Impact
Analyzes distributed complex systems in the brain to understand multi-agent dynamics and the 'mindset' in psychedelic experiences.
Collaboration Network
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Affiliations
Institutions, companies, and organisations Fernando Rosas is associated with.