The HMM-Fisher kernel approach leverages individual signatures of brain dynamics for prediction, which can be used, for example, to search for brain dynamics-informed biomarkers of neuropsychiatric disease or predict treatment response.

Psychophysical experiments and computational modeling demonstrate the importance of transient, instead of sustained, channels for the integration of audiovisual signals.

High-resolution blood oxygen level-dependent functional magnetic resonance imaging enables brain-wide mapping of activated regions during sensory stimulation in awake mice, including associated areas, for high-order sensory processing including anticipation responses.

Alterations of auditory prediction patterns were robustly found in tinnitus using two independent samples.