Stanisław Adaszewski

This paper introduces bi-cross-validation to evaluate and compare dynamic functional connectivity models in fMRI, showing it balances model fit and complexity effectively.

This paper introduces DyNeMo, a model for dynamic functional brain networks that outperforms HMM in capturing non-exclusive network modes in MEG data.

This paper introduces a Bayesian approach using MCMC sampling to estimate population receptive fields and hemodynamic parameters from single-point BOLD responses, showing high performance and validity.

This paper introduces CO-pRF, a convex optimization framework for pRF mapping that improves speed and reliability compared to traditional nonlinear methods.