Georgia Lockwood-Estrin is a Sir Henry Wellcome postdoctoral research fellow at the Centre for Brain and Cognitive Development at Birkbeck College, University of London in the United Kingdom.
Georgia Lockwood-Estrin
Postdoctoral researcher
Birkbeck College, University of London
From this contributor
Autism in girls: Jumping hurdles on the path to diagnosis
The barriers to an autism diagnosis are especially challenging for women and girls. A big part of the problem is still the perception of autism as a ‘male’ condition.
Autism in girls: Jumping hurdles on the path to diagnosis
Explore more from The Transmitter
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
Embrace complexity to improve the translatability of basic neuroscience
Researchers must learn to view heterogeneity as an essential feature of the systems they study and a central consideration in experimental design, not a variable to control for or reduce.
Embrace complexity to improve the translatability of basic neuroscience
Researchers must learn to view heterogeneity as an essential feature of the systems they study and a central consideration in experimental design, not a variable to control for or reduce.