Not at a Single Point, Scientists Reveal Human Intelligence Lies in Brain Networks
For decades, scientists have attempted to map attention, memory, language, and reasoning to separate brain networks. Yet one big mystery remains: why does human thought feel like a coherent, single system?
A study from the University of Notre Dame reveals that intelligence does not reside in one particular ‘smart’ region. Instead, intelligence emerges from how efficiently and flexibly disparate brain networks communicate and coordinate with one another.
Modern neuroscience often depicts the brain as a collection of specialised systems. However, this approach has not explained how these separate systems come together to form a unified mind. Psychologists have long observed the phenomenon of general intelligence, where proficiency in one domain tends to translate to strengths in others. Aron Barbey, Professor of Psychology at Notre Dame, notes that the issue is not about locating a specific cognitive function in the brain.
“Neuroscience has been very successful at explaining what a given network does, but less successful at explaining how a single coherent mind arises from their interactions,” Barbey said. He argues that the fundamental question today is how intelligence manifests from principles that govern brain function globally, how distributed networks communicate and process information collectively.
In the study published in Nature Communications, Barbey and his team tested a framework named Network Neuroscience Theory. They analysed brain imaging data from 831 adults in the Human Connectome Project and separate cohorts.
The results treat intelligence as a property of the brain as a whole, rather than a capacity tied to a specific area. Ramsey Wilcox, lead author of the study, describes a major shift in perspective. “We found evidence of holistic, system-wide coordination in the brain that is simultaneously strong and adaptable,” Wilcox said. “This coordination does not perform cognition itself, but defines the range of cognitive operations the system can support.” Wilcox adds that within this framework, the brain is modelled as a network whose behaviour is constrained by global properties such as efficiency, flexibility, and integration. “These properties are not bound to individual tasks or particular brain networks, but are characteristics of the system as a whole,” he notes.
The findings not only alter our understanding of the human brain but also offer fresh insights for the development of Artificial Intelligence. If human intelligence relies on global organisational structure, then building truly intelligent AI requires more than simply enhancing specialised tools. “Many AI systems can perform specific tasks well, but they still struggle to apply what they know across different situations,” Barbey explained. “Human intelligence is defined by this flexibility—and that mirrors the unique organisation of the human brain.” Understanding how the brain coordinates processes spread across many networks could be key to creating AI that is more biologically inspired and capable of human-like adaptation.
(Science Daily/ Z-2)