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
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.

Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.

Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.

The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.