Juan Camilo Avendano-Diaz

@juancamiload.bsky.social

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

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 🔗https://tinyurl.com/Interpersonalsync

🫁❤️New preprint out: The social, decoupled self We show effects of interpersonal synchronization of physiological rhythms on intrapersonal cardiorespiratory coupling: when we sync our breathing, our breathing–heart rhythms decouple, with a perturbed phase-relationship www.biorxiv.org/content/10.1...

The social, decoupled self: interpersonal synchronization of breathing alters intrapersonal cardiorespiratory coupling

People synchronize their periodic behavioural and physiological rhythms with each other during social interaction. While this interpersonal synchronization has largely been associated with positive ef...

biorxiv.org

In our Trends in Cogn Sci paper we point to the connectivity crisis in task-based human EEG/MEG research: many connectivity metrics, too little replication. Time for community-wide benchmarking to build robust, generalisable measures across labs & tasks. www.sciencedirect.com/science/arti...

Confronting the connectivity crisis in human M/EEG research

The cognitive neuroscience community using M/EEG has not converged on measures of task-related inter-regional brain connectivity that generalize acros…

sciencedirect.com

allowing such views to pass uncritically. The core traps here with AI are what @irisvanrooij.bsky.social and I outline (based on our previous work) in a forthcoming short publication, distilled into the table below: bsky.app/profile/iris...

Iris van Rooij 💭@irisvanrooij.bsky.social · last yr.

NEW paper! 💭🖥️ “Combining Psychology with Artificial Intelligence: What could possibly go wrong?” — Brief review paper by @olivia.science & myself, highlighting traps to avoid when combining Psych with AI, and why this is so important. Check out our proposed way forward! 🌟💡 osf.io/preprints/ps...

Table 1
Typology of traps, how they can be avoided, and what goes wrong if not avoided. Note that all traps in a sense constitute category errors (Ryle & Tanney, 2009) and the success-to-truth inference (Guest & Martin, 2023) is an important driver in most, if not all, of the traps.

🚨🚨🚨PREPRINT ALERT🚨🚨🚨 Neural dynamics across cortical layers are key to brain computations - but non-invasively, we’ve been limited to rough "deep vs. superficial" distinctions. What if we told you that it is possible to achieve full (TRUE!) laminar (I, II, III, IV, V, VI) precision with MEG!

Overview of the simulation strategy and analysis. a) Pial and white matter boundaries
surfaces are extracted from anatomical MRI volumes. b) Intermediate equidistant surfaces are
generated between the pial and white matter surfaces (labeled as superficial (S) and deep (D)
respectively). c) Surfaces are downsampled together, maintaining vertex correspondence across
layers. Dipole orientations are constrained using vectors linking corresponding vertices (link vectors).
d) The thickness of cortical laminae varies across the cortical depth (70–72), which is evenly sampled
by the equidistant source surface layers. e) Each colored line represents the model evidence (relative
to the worst model, ΔF) over source layer models, for a signal simulated at a particular layer (the
simulated layer is indicated by the line color). The source layer model with the maximal ΔF is
indicated by “˄”. f) Result matrix summarizing ΔF across simulated source locations, with peak
relative model evidence marked with “˄”. g) Error is calculated from the result matrix as the absolute
distance in mm or layers from the simulated source (*) to the peak ΔF (˄). h) Bias is calculated as the
relative position of a peak ΔF(˄) to a simulated source (*) in layers or mm.

The craziest paper I have ever done is this thought experiment with Albert Gidon and Matt Larkum. In the first journal, reviewer 1 recommended that we should not try to publish this; reviewer 2 called it "wacky". Thanks for the motivation: A sequel is coming up! journals.plos.org/plosbiology/...

Does brain activity cause consciousness? A thought experiment

The authors of this Essay examine whether action potentials cause consciousness in a three-step thought experiment that assumes technology is advanced enough to fully manipulate our brains.

journals.plos.org

We wrote this Neuroview to get the word out about the extremely exciting and important NIH funded work happening in the pain field and how it has the potential to really change pain treatment in the coming years www.cell.com/neuron/fullt... We did not imagine how rapidly things would be dismantled.

Human pain neuroscience and the next generation of pain therapeutics

The recent approval of suzetrigine for acute pain treatment highlights both the success of targeting peripheral sensory neurons for pain management and the potential of developing new pain therapies p...

cell.com

Lovely work — and yet another proof that perceptual integration, likely based on recurrent connections, can occur without awareness during the attentional blink. See also www.pnas.org/doi/full/10....

Perceptual integration without conscious access | PNAS

The visual system has the remarkable ability to integrate fragmentary visual input into a perceptually organized collection of surfaces and objects...

pnas.org

Johannes Fahrenfort@fahrenfort.bsky.social · last yr.

In @elife.bsky.social: Perceptual and attentional impairments of conscious access involve distinct neural mechanisms despite equal task performance doi.org/10.7554/eLif... by Samuel Noorman with @timostein.bsky.social and Simon van Gaal. Well done Samuel!

𝗛𝗼𝘄 𝘀𝗵𝗼𝘂𝗹𝗱 𝘄𝗲 𝗱𝗲𝗳𝗶𝗻𝗲 𝗮𝗻𝗱 𝗱𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗲 𝗮 𝗯𝗿𝗮𝗶𝗻 𝗿𝗲𝗴𝗶𝗼𝗻'𝘀 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝗰𝗲? We introduce the idea of "importance" in terms of the extent to which a region's signals steer/contribute to brain dynamics as a function of brain state. Work by @codejoydo.bsky.social elifesciences.org/reviewed-pre...

Brain dynamics and spatiotemporal trajectories during threat processing

elifesciences.org