Professor at Rutgers, director of a cognitive & network neuroscience lab – neuroimaging, connectivity, cognitive control, NeuroAI ([email protected])colelab.org Rutgers University-NewarkJoined July 2013
My latest Neural Flows newsletter post!
“Enhancing scientific inference with evidence quality maps”
Automated inference as a scalable engine of discovery
neuralflows.substack.com/p/enhancing-sc…
My latest Neural Flows post:
“Living in a compositional universe is a prerequisite for intelligence”
Brain flow dynamics take advantage of our environment’s compositionality to accomplish goals
neuralflows.substack.com/p/living-in-a-…
Together, these results validate a new method to test complementary roles of distinct flow pathways: direct visual pathways rapidly generate detailed visual information, while hierarchical pathways build up compressed representations (e.g., shapes rather than lines). 14/n
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 these questions
biorxiv.org/content/10.648…
1/n
@PessoaBrain EQI is still being developed, but it’d be fun to get some rough estimates now. I can share an LLM prompt to make it easier, if you’re up for trying it
My latest Neural Flows post:
“Using evidence quality to restructure incentives in science”
Metrics will inevitably bias science, so let’s switch to metrics that reflect what science should be biased by
open.substack.com/pub/neuralflow…
@PessoaBrain If your methods are reliable and valid, you’ll get high EQI scores! EQI-contribution (EQI-C) scores tend to be higher for novel areas. Also, evidence that challenges the existing literature carries equally weight (as shown in the interactive figure in the post)
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I like taking photos of weird things inside the brain 🔬
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