Together, these findings suggest that attention regulates predictive learning not simply by changing the strength of PE responses, but by reshaping how distributed thalamocortical circuits represent and integrate sensory evidence over time.

4. A brain-constrained neural network reproduces these dynamics through attention-dependent changes in inhibition, connectivity, and Hebbian plasticity, providing a potential mechanistic account linking attentional state to distributed predictive learning.

3. In the temporal cortex, attention changes not only how much information is represented, but also how it is represented, by altering the balance between synergistic and redundant PE representations.

2. Instead, the temporal cortex expresses two distinct learning regimes with opposing PE information trajectories that converge once attention is withdrawn.

1. The thalamus exhibits a stable state-dependent reduction in prediction-error information during distraction.

Happy to share our new pre-print "Attention reshapes the information dynamics of thalamic and cortical prediction-error learning" led by the great Juho Äijälä, Thread below👇

6. In both species, the information conveyed by broadband signals was highly synergistic within and between visual areas. By contrast, the information carried by narroband gamma was primarily redundant within and between the same visual areas.

5. The information conveyed by broadband signals emerged early after stimulus onset, while narrowband gamma oscillations sustained information at later time points.

4. We analyzed ECoG and LFP in the visual cortex of human and non-human primates (macaque) to investigate the extent to which broadband signals and narrowband gamma oscillations conveyed synergistic or redundant information about images.

Thrilled to share our @natcomms.nature.com article: "Broadband synergy versus oscillatory redundancy in the visual cortex", a cross-species research effort led by Louis Roberts. Thread below!

5. But when TM was compared against its own resting baseline, the picture changed. Low-frequency functional connectivity became the strongest discriminator, revealing a double dissociation between “TM vs cognition” and “TM vs rest.”

4. The key result is that TM vs counting was best discriminated by temporal entropy and aperiodic dynamics. In other words, the neural signature of pure awareness was not reducible to classic “brainwave coherence.”

3. We then asked: Which neural signatures best distinguish TM from ordinary cognitive engagement? We screened theoretically inspired EEG neural markers: entropy, complexity, aperiodic activity, linear phase coherence, and nonlinear information sharing.

2. TM practitioners reported stronger, more dynamic pure awareness than matched controls who were doing mental counting. Crucially, this was not just a single rating: participants reconstructed how the experience unfolded over the full 30-min session.

Delighted to share our new Perspective article @natrevneuro.nature.com, led by the great @edoardochidichimo.bsky.social : "Towards an informational account of interpersonal coordination". With @loopyluppi.bsky.social, Pedro Mediano, @introspection.bsky.social, Victoria Leong and Richard Bethlehem.

Finally, TM showed little evidence of carry-over effects from meditation into subsequent rest, in contrast to controls, where counting induced residual changes

In contrast, when TM was compared with its own baseline, low-frequency functional connectivity dominated, while temporal entropy contributed minimally to classification.

In relation to ordinary cognition in control subjects performing mental counting, pure awareness is best characterized by increased temporal entropy and scale-free neural dynamics.

Using EEG and multivariate classification analyses, our large-scale screening of theoretically motivated EEG markers revealed a double dissociation in neural signatures.

My best ASSC so far at *ALL* levels. I had an absolute blast. Finding all possible "scientific" reasons to return to Crete asap 😇 @assc28.bsky.social #ASSC28. 🍗 🐑 🐖 ⛱️ 🌞 🧠 🍻

The one and only @svangaal.bsky.social on how fluctuations in arousal shape conscious perception. @assc28.bsky.social #ASSC28

The great @satupalva.bsky.social on brain critical oscillatory dynamics and perception @assc28.bsky.social #ASSC28

The great @neuromorphicboki.bsky.social on micro-to-macro neural dynamic relationships across sleep stages. #ASSC28 @assc28.bsky.social

Why should we care about nonlinear cortical interactions in the study conscious content? Find out tomorrow @assc28.bsky.social #ASSC28. All invited! 😎

If you are attending @assc28.bsky.social #ASSC28, on Wednesday, I will present a new principle of cortical communication during visual perception across species. All invited! 😎

The great @stijnnuiten.bsky.social on the mechanisms of optimal arousal state. #ASSC28 @assc28.bsky.social

The "third wave" of meditation research by the great Matthew Sacchet. #ASSC28 @assc28.bsky.social

"Cuttlefish eat fewer crabs at lunchtime when they know shrimp are available for dinner" #assc28 @assc28.bsky.social. Amazing talk by the great Nicky Clayton.

Guess what! IIT has problematic implications for animal consciousness. #assc28 @assc28.bsky.social.