“Beyond pain: a brain-based biomarker predicts individual pain relief” by Jialin Li et al. — a task-fMRI signature that captures both pain exacerbation and relief, validated in chronic back pain.

“Predicting individual differences of fear and cognitive learning and extinction” by Gomes, Bach, Razi, …, Spisak, Axmacher et al.

“Cerebellar activation in human placebo analgesia: Bridging findings from mice to humans” by Zhenjiang Wei et al. — cross-species evidence that the cerebellum is engaged during placebo analgesia, linking rodent findings to human neuroimaging.

Our international consortium NEUROFLEX (“The Flexible Mind”) was selected in the ERA-NET NEURON JTC 2025 call on the neuroscience of pain — cognitive flexibility and large-scale brain dynamics as targets for chronic pain.

“On the replicability of diffusion weighted MRI-based brain-behavior models” by Raviteja Kotikalapudi et al.

“Concern About Predictive Performance of a Pain Sensitivity Biomarker” by Ole Goltermann, Tamas Spisak and Christian Büchel

“Self-orthogonalizing attractor neural networks emerging from the free energy principle” by T. Spisak and K. Friston. Now published in Neurocomputing — see above.

“Meta-analytic evidence for distinct neural correlates of conditioned vs. verbally induced placebo analgesia” by T. Spisak et al. Now in Nature Communications — see above.

“Common and distinct neural mechanisms of aversive and appetitive pain-related learning” by Jialin Li et al.

“High-level information integration in the brain via large-scale attractor dynamics” #274

“Towards generative AI-based fMRI paradigms: reinforcement learning via real-time brain feedback” #552 Meet there Tamas and Giuseppe!

External validation of machine learning models - registered models and adaptive sample splitting - by Gallitto et al.

“On the replicability of diffusion weighted MRI-based brain-behavior models” by Kotikalapudi et al.

Our contributions: Machine Learning Masterclass talk by Tamas Spisak; two posters by Jialin Li and Balint Kincses

On the replicability of diffusion weighted MRI-based brain-behavior models, Raviteja Kotikalapudi, Balint Kincses, Giuseppe Gallitto, Robert Englert, Kevin Hoffschlag, Jialin Li, Ulrike Bingel, Tamas Spisak Click for details.

External validation of machine learning models - registered models and adaptive sample splitting, Giuseppe Gallitto, Robert Englert, Balint Kincses, Raviteja Kotikalapudi, Jialin Li, Kevin Hoffschlag, Ulrike Bingel, Tamas Spisak Click for details.

Our preprint about functional connectivity-based Hopfield networks is out!
Click for details.

Welcome to our new website!
This website is still under construction.
Looking for the old website? Click here!