How do neural processes give rise to cognition? Simultaneously predicting brain and behavior with a dynamic model of visual working memory.

There is consensus that activation within distributed functional brain networks underlies human thought. The impact of this limited, however, by a gap exists between data-driven correlational analyses specify where activity localized using magnetic resonance imaging (fMRI), and neural process accounts how unfolds through time to give rise behavior. Here, we show an integrative cognitive neuroscience approach may bridge gap. In exemplary study visual working memory, use multilevel Bayesian statistics demonstrate dynamic model simultaneously explains behavioral data predicts patterns activity, outperforming standard analytic approaches fMRI. performance on both correct trials incorrect errors in change detection emerge from fluctuations amplified interaction. Critically, predictions the run counter theories origin detection. Results reveal predicted regions dorsal attention network have been focus much debate. model-based analysis suggests key areas such as intraparietal sulcus play central role rather than memory maintenance, previous interpretations fMRI studies. More generally, used here establishes framework for directly testing function combined power data. (PsycInfo Database Record (c) 2021 APA, all rights reserved).