Professor at Rutgers, director of a cognitive & network neuroscience lab – neuroimaging, connectivity, cognitive control, NeuroAI. Author of Brain Flows

Rutgers University-Newark
Joined July 2013
Inspired by Edinburgh’s legacy of big ideas (e.g., Hume), on a train leaving the city, I crafted a book proposal about big ideas in network neuroscience—how brain flows generate representations that compose our minds. The rest is history, and this book: shorturl.at/dSfwB
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My latest Neural Flows post! "Emotions as global low-dimensional brain flow patterns" Based on the book Brain Flows: How Network Dynamics Compose the Human Mind neuralflows.substack.com/p/e…
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Do brain connections just carry information between regions, or do they transform it? Lab's latest out in Nature Neuroscience, led by Lakshman Chakravarthula: "Network geometry shapes the transformation of task representations across the human cortex" colelab.org/pubs/Chakravarth… 1/n
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Together, these results suggest the brain's network geometry is a computational substrate, not just wiring: low-dimensional connectivity compresses representations for generalization, while high-dimensional connectivity expands them for task-specific implementation 18/n
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