Excited to share our paper published in @CommsPsychol 🥳 Using VR, EEG, real-time affect rating, and deep representation learning, we show that subjective awe is better predicted by ambivalence-related behavior and neurogeometry than univalent ones (1/n) https://t.co/PBn8dSUvdE

Ventral tegmental area GABA neurons integrate positive and negative valence | Nature Communications https://t.co/7CVAPYkIc3

Just out in Nature Reviews Neuroscience! We've been studying information synergy within the brain for a few years now: here we explore how we can take this approach to the level of synergy *between* brains! 🧠🔄🧠 Thanks to Edoardo Chidichimo for leading this inter-brain synergy!

New paper on AI consciousness! Here we present the theory-derived indicator method for assessing AI systems for consciousness. Link below.

Another new paper from Feldman Barrett and colleagues connecting allostasis and interoception. Many new insights! Cortical and subcortical mapping of the human allostatic–interoceptive system using 7 Tesla fMRI https://t.co/yzaqguHtW7

The process of affect labeling Review by Ella Givon, Nachshon Meiran (@NMeiran), & Amit Goldenberg (@Amit_Goldenb) Free access before Dec 6: https://t.co/3bBTSufl02

Feldman-Barret et al: "Allostasis is predictive regulation, distinguished from the concept of homeostasis, which involves reactive regulation to perturbations that return a system back to an optimal set point." 1/8 Allostasis at the core of brain function https://t.co/bQUC9VfET5

On a Geometry for Interbrain Networks: discrete Ricci curvature + entropy can capture phase transitions and information routing in social neural dynamics. Accepted to the 4th NeurReps @neur_reps workshop at NeurIPS @NeurIPSConf 2025. With @NoahGuzman14 & @mweber_PU.

Amazing paper. All the good stuff: brain dynamics, state trajectories, embedding, links to arousal, tracking full dynamic state with a single measurement. https://t.co/N0zbt1Ebob

Hierarchical reasoning works well on large language models!🎉

𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝗶𝗻𝘃𝗲𝘀𝘁𝗶𝗴𝗮𝘁𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗼𝗳 𝗱𝘆𝗻𝗮𝗺𝗶𝗰𝗮𝗹 𝘀𝘆𝘀𝘁𝗲𝗺𝘀? https://t.co/LYOoZpNK2G

Are interoception and mental health linked? Many assume so, with interoception even described as a psychiatric “p-factor.” But in our latest preprint, we were surprised to find little evidence for such a connection.

Using VR, EEG, and contrastive learning, this study found that subjective awe is better predicted by behavioral and neural representations of mixed feelings than by those of purely positive or negative ones, challenging a univalent viewpoint of awe. https://t.co/VgD7z1UmbX

This project was made possible through an interdisciplinary approach. I am grateful to professional filmmaker Seung Yeop Oh, to AI expert Danny, and to my advisor @ChaJiook, whose expertise bridges psychology, neuroscience, and AI (9/n, n=9)

I hope my work serves as a case that the complex structure of emotions we experience in our daily life can be systematically explored within a scientific framework (8/n)

Last, our HMM analysis showed valence transitions during VR watching linked to temporal dynamics across band frequencies in mainly fronto-parietal channels, which has been reported as neural correlates of valence computation (7/n)

Interestingly, the distinctiveness of ambivalence-related representations predicted awe intensity, surpassing all affective self-reports (e.g., duration/intensity of ambivalent feelings) (6/n)

Second, combining contrastive learning and decoding analyses, we found latent representation of ambivalent feeling is distinct from positive/negative ones, with large individual differences in their degree of distintiveness (5/n)

Here's our key findings: First, awe intensity across stimuli was better predicted by the self-reported duration and intensity of ambivalent feelings during VR viewing than simply positive or negative feeling metrics (4/n)

Here, we examined if subjective awe intensity in VR-based various awe episodes is better predicted by ambivalent feelings than univalent ones, and if their neural representations show distinct pattern to univalent ones (3/n)

In philosophy, awe has been described as a unique ambivalent feeling, but modern affective science has struggled to examine whether such ambivalence can be distinguished from simply pleasing or displeasing states (or their rapid fluctuations) (2/n)