Tamas Spisak

Thank you!
We have some fresh, initial evidence that the brain is akin to a self-orthogonalizing network as well.
elifesciences.org/reviewed-pre...

doi.org/10.7554/eLif...

Brain attractors are approximately orthogonal to each other, suggesting that the brain may function as a self-orthogonalizing attractor network.

Check out our revised manuscript about functional connectivity-based brain attractor dynamics in @elife.bsky.social. Link in comment!

On the replicability of diffusion weighted MRI-based brain-behavior models - Communications Biology Structural connectome-based predictive models can yield replicable brain–behavior associations with moderate samples in several cases, but large datasets remain key for explainability, bias control, f...

www.nature.com/articles/s42...

Replicability of BWAS with functional and structural MRI has been hotly debated.
But what about DWI?

Our new paper - first authored by @rkotikalapudi.bsky.social - shows that multivariate DWI models of trait-like phenotypes can be replicable, even with moderate sample sizes.

🔗 Link in comment!

Concern About Predictive Performance of a Pain Sensitivity Biomarker To the Editor Chowdhury et al1 evaluated a biomarker for pain sensitivity, combining peak alpha frequency and corticomotor excitability. The authors report outstanding performance (validation set area...

Serious concerns about a new cortical biomarker for pain sensitivity

jamanetwork.com/journals/jam...

We (with @tspisak.bsky.social, @christianbuchel.bsky.social) published a commentary on Chowdhury, Bi et al. (2025, JAMA Neurology) raising serious concerns about their reported results.

👇 1/13

@sfb-trr-289.bsky.social @karlfristonnews.bsky.social

graphical abstract

Self-orthogonalizing attractor neural networks emerging from the free energy principle Attractor dynamics are a hallmark of many complex systems, including the brain. Understanding how such self-organizing dynamics emerge from first principles is crucial for advancing our understanding ...

As many of you know, I’ve been fascinated by brain attractor dynamics lately.

Thrilled to share a new preprint on their link to orthogonal neural representations, co-authored with Karl Friston:
arxiv.org/abs/2505.22749
- with implications for both neuroscience & AI!

First in a series - stay tuned!

@sfb-trr-289.bsky.social

🚨 New paper out in GigaScience!
To avoid common pitfalls in multivariate modeling: combine external validation with pre-registration — freeze your model before testing.

For the pros: decide on the fly when to stop training!
First-authored by the brilliant @ggallitto.bsky.social