Distinct weak antisymmetric interactions shape human brain functions as probability fluxes
The study models brain function as probability fluxes driven by subtle, task-dependent antisymmetric interactions between brain regions. By analyzing these fluxes, researchers found that functional computation arises from small modifications to this asymmetric network, suggesting the brain performs complex tasks efficiently with minimal energy expenditure. This provides a new view of cognition as dynamic rather than static.