Lucina Q. Uddin is professor of psychiatry and biobehavioral sciences at the University of California, Los Angeles. Her research uses tools from network neuroscience to study typical and atypical cognitive and brain development.
Lucina Q. Uddin
Director, Brain Connectivity and Cognition Laboratory, University of California, Los Angeles
Contributing editor, The Transmitter
From this contributor
Name this network: Addressing huge inconsistencies across studies
Entrenched practices have stymied efforts to build a universal taxonomy of functional brain networks. But a new tool to standardize brain-imaging findings could bring us a step closer.
Name this network: Addressing huge inconsistencies across studies
Rethinking ‘noise’ in autism research
Lucina Uddin says researchers should be cautious when analyzing their findings, because 'noisy' data may actually hold important information about brain functioning.
Peer review of methods before study’s onset may benefit science
'Registered reports' — a type of paper in which experimental protocols are reviewed before the study begins — may make neuroscience studies more rigorous and reproducible.
Peer review of methods before study’s onset may benefit science
Explore more from The Transmitter
New tissue-clearing techniques let microscopes peer deeper into living brains
Washing mouse brain tissue with a blood protein or complex sugar can illuminate cells 550 micrometers into the cortex without compromising its normal physiology.
New tissue-clearing techniques let microscopes peer deeper into living brains
Washing mouse brain tissue with a blood protein or complex sugar can illuminate cells 550 micrometers into the cortex without compromising its normal physiology.
New catalog charts familial ties from autism to 90 other conditions
The research tool reveals associations stretching across three generations.
New catalog charts familial ties from autism to 90 other conditions
The research tool reveals associations stretching across three generations.
This paper changed my life: ‘Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment,’ from the Fiser Lab
Fiser’s work taught me how to think about grounding computational models in biologically plausible implementations.
This paper changed my life: ‘Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment,’ from the Fiser Lab
Fiser’s work taught me how to think about grounding computational models in biologically plausible implementations.