Kazuki Iijima

The paper uses hidden Markov modeling on whole-brain MEG data to show subsecond neural dynamics correlate with value-based decision variables in humans.

This study examines predictive coding irregularities in a non-human primate ASD model, finding sensory hypersensitivity and unstable predictions across brain hierarchies with diverse error configurations.

This study develops a method to compare interpersonal utility using neural activity, finding that brain signals correlate with expected utility and validate an optimal decision rule for well-being aggregation.