Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies.

ABSTRACT: Studies investigating neural information processing often implicitly ask both, which processing strategy out of several alternatives is used and how this strategy is implemented in neural dynamics. A prime example are studies on predictive coding. These often ask whether confirmed predictions about inputs or prediction errors between internal predictions and inputs are passed on in a hierarchical neural system-while at the same time looking for the neural correlates of coding for errors and predictions. If we do not know exactly what a neural system predicts at any given moment, this results in a circular analysis-as has been criticized correctly. To circumvent such circular analysis, we propose to express information processing strategies (such as predictive coding) by local information-t

SUBMITTER: Wollstadt P 

PROVIDER: S-EPMC10703417 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature