This research from Nature Neuroscience utilizes computational whole-brain modeling to demonstrate that competitive interactions are essential for understanding how mammalian brain networks function. By analyzing data from humans, macaques, and mice, the authors found that models incorporating both cooperative and competitive ties more accurately replicate real-world brain activity than traditional models. These negative-valued interactions typically link regions with opposing biological traits, such as different gene expressions or cellular structures, and are characterized by long-range, diffuse connections. The study suggests that such competition promotes synergistic dynamics and hierarchical organization, which are critical for complex information processing. Ultimately, the work establishes a generative link between anatomical architecture and the sophisticated computational performance of the living brain.

References:

• Luppi A I, Sanz Perl Y, Vohryzek J, et al. Competitive interactions shape mammalian brain network dynamics and computation[J]. Nature Neuroscience, 2026: 1-19.