Postdoctoral researcher at @AaltoUniversity @abc_aalto. Interested in M/EEG and 2-Person Neuroscience (2PN).

Joined October 2009
Juan Camilo Avendano-Diaz retweeted
Our new paper in @Nature is now out. Psychedelics don’t simply disorder the brain. Using fMRI, EEG and AI in 62 psychedelic-naive adults, we found hidden, context-sensitive organisation beneath the apparent chaos -- strongest in people reporting more positive, profound experiences and a reduced sense of separation from the world. The paper: nature.com/articles/s41586-0… Huge congratulations to @dpsyc42 who led from the front, @novelli_leo and @MKhajehnejad were exceptional in performing highly sophisticated and complex data analyses and thanks the whole @ConnectPsi team and collaborators. Our explainer: theconversation.com/new-rese… Data descriptor: nature.com/articles/s41597-0… ML model (TAVRNN): nature.com/articles/s42003-0… Fully open-access dataset: openneuro.org/datasets/ds006… Code for processing and cleaning data: github.com/razilab/psiconnec… @matthewdgreaves Tmarin Barta, @ManaBiabani, @SidChop, @anilkseth, @RCarhartHarris, @FredBarrettPhD, @KatrinPreller, @gary_egan @turnerinstitute @MonashPsych, @Monash_FMNHS, @MonashUni @CIFAR_News
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They also suggest that previous MEG/EEG hyperscanning findings should be interpreted with particular caution, given the sensitivity of commonly used metrics to frequency mismatch and SNR.
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Thanks go to @introspection for valuable discussions on the preprint version of this work, and to the editor and reviewers for their constructive feedback and helpful suggestions. This work was supported by Business Finland and the Norman Loveless Memorial Fund.
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Happy to be part of this Special Issue in Oxford Open Neuroscience. Feel free to reach out if you have questions, and share widely! 👇 "Toward a Mechanistic Understanding of Interpersonal Synchrony" 📅Deadline: June 15th, 2026 🔗 academic.oup.com/oons/pages/…
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We're putting together a collection focused on moving beyond descriptive accounts of synchrony: mechanistic hypotheses, causal frameworks, computational models, methodological innovations, theoretical perspectives, all welcome!
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With a great team behind, including Sam Gilbert, Quentin Moreau, Sarah Boukarras, and Ryssa Moffat. Looking forwards to your contributions!
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Juan Camilo Avendano-Diaz retweeted
New preprint: "A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments" 🔗 arxiv.org/abs/2512.13517 by Raymond Khazoum @RayKhazoum , Daniela Fernandes @DdsFernades, Aleksandr Krylov, Qin Li and myself
A striking example of spatial reasoning is humans’ ability to recognize objects across viewpoints—a skill known as mental rotation. How does the brain achieve this ability? To answer this, we propose a mechanistic model of human mental rotation. Paper: arxiv.org/abs/2512.13517
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Juan Camilo Avendano-Diaz retweeted
𝗕𝗲𝘆𝗼𝗻𝗱 𝗻𝗲𝘁𝘄𝗼𝗿𝗸𝘀: 𝗧𝗼𝘄𝗮𝗿𝗱 𝗮𝗱𝗮𝗽𝘁𝗶𝘃𝗲 𝗺𝗼𝗱𝗲𝗹𝘀 𝗼𝗳 𝗯𝗶𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝗰𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 Paper out discussing how more standard network models miss key points of brain complexity. And some more radical points at the end. doi.org/10.1016/j.plrev.2025…
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