New research from Georgetown University indicates the brain can rewire itself to perform multiple tasks simultaneously after intense practice. This finding challenges the long-standing belief that humans only switch attention between tasks rapidly. The shift allows the brain to move automatic activities away from the prefrontal cortex, potentially influencing future developments in AI and skill training.
A new study published in the Journal of Cognitive Neuroscience has challenged the long-held scientific view that humans are incapable of true multitasking. While it was previously believed that the brain simply flips focus between activities in quick succession, Georgetown University researchers found that extensive practice allows the brain to physically reconfigure its architecture to handle multiple demands at once.
Moving Tasks from the Decision Center
When people learn a new skill, the prefrontal cortex—the area of the brain responsible for high-level planning and decision-making—is heavily involved. As a task becomes automated through massive repetition, the study found the brain offloads these functions to dedicated neural circuits in the temporal cortex. This area is typically linked to pattern recognition and memory. By moving these automatic tasks to the temporal cortex, the brain frees up the prefrontal cortex to manage new or more complex information concurrently.
Evidence from Long-Term Training
To test this, researchers had participants engage in a specific visual categorization game on smartphones for a period of five to ten weeks. This process involved over 30,000 individual exercises. By using functional MRI and EEG scans to monitor activity before and after the training, the team observed a clear migration of brain function. Initially, the prefrontal cortex was the primary site of activity, but after the rigorous training, the temporal cortex took over the workload for the well-practiced tasks.
Broader Applications and Limitations
Professor Maximilian Riesenhuber, the study's senior author, noted that this research highlights the brain's remarkable ability to remodel itself based on experience. This explains why highly skilled individuals, such as experienced drivers or professional musicians, can handle complex activities alongside secondary tasks without performance drops. However, the study also clarifies that this efficiency is highly dependent on deep practice. It does not mean the brain can effortlessly handle multiple new or mentally demanding activities without training. Beyond helping explain human behavior, these findings are being examined for their potential to inform how artificial intelligence systems learn, potentially helping developers create machines that adapt knowledge in a manner more similar to the human brain.