Eli Sennesh

The paper tests predictive processing hypotheses in mouse visual cortex using LFPs from multi-area laminar recordings during a visual oddball task, finding that gamma, beta, and theta bands signal different types of prediction errors.

This study challenges hierarchical predictive coding models by showing that prediction error responses in visual cortex do not involve feedforward processing and that predictive suppression is not mediated by inhibitory interneurons.

This study introduces NTFA, a computational method to analyze degeneracy in fMRI data, demonstrating its ability to uncover degeneracy assumptions in simulated datasets.