Why do our visual systems have “shortcut” connections (V1-V4)? What do they add beyond the classic hierarchical (V1-V2-V3-V4) pathway? 

The lab’s latest study takes activity flow modeling to the next level to answer this question, led by @alextzalav.bsky.social www.biorxiv.org/content/10.6... 1/n

Inspired by Edinburgh’s legacy of big ideas (e.g., Hume), on a train leaving the city, I crafted a proposal for a book about big ideas in network neuroscience—how brain activity flows generate representations that together compose our minds. The rest is history, and this new book: shorturl.at/3p100

Our recent study, "Distributed cortical network dynamics of binocular convergent eye movements in humans" is out in Network Neuroscience, where we move beyond simple brain mapping to show that binocular convergence is driven by the flow of activity across distributed neural networks. 1/8

New online! Characteristics and mechanisms of cognitive impairment in Parkinson disease

Excited to see our paper with @mwcole.bsky.social finally out in peer-reviewed form @natcomms.nature.com! We examine how the human brain learns new tasks and optimizes representations over practice…1/n

Lab’s latest is out in Imaging Neuroscience, led by Kirsten Peterson: “Regularized partial correlation provides reliable functional connectivity estimates while correcting for widespread confounding”, where we demonstrate a major improvement to standard fMRI functional connectivity (correlation) 1/n

Stories no one had heard in years…

“Cognitive flexibility as the shifting of brain network flows by flexible neural representations”, a solo paper by yours truly, making the case that brain activity flow shifts are essential to mental flexibility (and quite interesting too!) Open access: www.sciencedirect.com/science/arti...

Lab’s latest at PLOS Comp Biol, led by Carrisa Cocuzza: “Distributed network flows generate localized category selectivity in human visual cortex”. This one changed how I think the brain works! Even "localized" functions are likely generated by distributed processes doi.org/10.1371/jour...