Ekaterina Sangati
Okinawa Institute of Science and Technology Graduate University
Papers
1
Total Citations
18
H-Index
1
About
Ekaterina Sangati is a computational cognitive scientist whose research lies at the intersection of social interaction, neural complexity, and evolutionary dynamics. Her most cited work, “Shrunken Social Brains? A Minimal Model of the Role of Social Interaction in Neural Complexity” (2021, 18 citations), challenges the classic social brain hypothesis by proposing that enlarged brains may not be the only evolutionary response to complex social life. Using minimal computational models, Sangati demonstrates that social interaction can paradoxically reduce neural complexity, offering a provocative new lens on brain evolution. This work has sparked discussion in cognitive science and evolutionary biology, positioning her as a rising voice in theoretical modeling of social cognition. Beyond this, Sangati’s research integrates agent-based simulations and information theory to explore how collective behavior shapes individual neural architectures. Her contributions are notable for their interdisciplinary reach, bridging neuroscience, artificial life, and philosophy of mind. With a growing citation impact, Sangati is shaping how we understand the trade-offs between sociality and brain size, making her a compelling figure for students and researchers interested in the computational foundations of social intelligence.
Research Focus
Key Achievements
Top Papers
- 1