Report summary

For Massachusetts Institute of Technology Department of Brain and Cognitive Sciences in 2015-2026, the graph shows 116 visible PIs and 194 internal PI collaborations. The dominant subject mix is Neuroscience as the leading field (33% of slots across 78 PIs; 78 labels), Cognitive Neuroscience as the leading subfield (22% of slots across 62 PIs; 62 labels), and Neural dynamics and brain function as the leading topic (7% of slots across 24 PIs; 24 labels). That is a healthy pattern, with enough links to reveal several interpretable groups rather than one undifferentiated component. The top weighted PIs are Feng Zhang (41.8 weighted works; CRISPR and Genetic Engineering, RNA and protein synthesis mechanisms); Li‐Huei Tsai (41.4 weighted works; Neuroinflammation and Neurodegeneration Mechanisms, Neural dynamics and brain function). The most visible ties are Pawan Sinha and Sharon Gilad‐Gutnick (20 shared works, weight 14.2). The standout breakdown groups are group 1 with 10 PIs, 9 internal connections, weight 36.9, around Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, led by Li‐Huei Tsai, Edward S. Boyden, Earl K. Miller; group 2 with 10 PIs, 12 internal connections, weight 44.6, around Cognitive Neuroscience, Experimental and Cognitive Psychology, Developmental and Educational Psychology, led by John D. E. Gabrieli, Susan Whitfield‐Gabrieli, Satrajit Ghosh.