Cognitive scientists Earl K. Miller from MIT and Lisa Feldman Barrett from Northeastern University argue that categorization is an intrinsic predictive mechanism the brain employs to address sensory overload efficiently. Their article in Nature Reviews Neuroscience questions longstanding beliefs about how the brain processes sensory information.
Categories, defined as groups of similar items, are traditionally thought to arise from the brain analyzing sensory details and comparing them to stored prototypes. Miller and Barrett propose that the brain instead uses predictions to prepare for sensory patterns, shaping sensory processing from the outset. This predictive model guides actions based on learned experiences, rather than neutral sensory analysis.
Miller emphasizes that the brain’s primary role is to anticipate the world, noting that while sensory processing takes time, the brain must stay ahead of changing circumstances. Barrett adds that the brain’s predictive nature aligns actions with sensory situations, allowing for quick adaptation and learning from errors.
The authors underpin their theory with anatomical and functional evidence, highlighting how the brain’s structure supports memory-driven motor plans that refine sensory input. They note that the cortex is designed to prioritize feedback from memory over feedforward sensory information, facilitating meaningful categorization.
Studies from Miller’s lab show that the brain uses beta frequency waves to guide plans, influencing gamma frequency waves that deal with sensory details. The dominance of feedback signals allows sensory information to be interpreted through predicted plans, enabling learning from unexpected outcomes.
Barrett and Miller’s ideas redefine categorization as a predictive function essential for meeting bodily needs, rather than a purely intellectual process. They suggest that humans’ extensive neural networks allow for metaphorical categorizations, while disorders like depression and autism illustrate how these processes can malfunction.
The research received funding from the National Institutes of Health, the U.S. Army Research Institute, the Office of Naval Research, the Unlikely Collaborators Foundation, and The Freedom Together Foundation.
Original Source: news.mit.edu
