Mirko Uljarević is clinical assistant professor of psychiatry and behavioral sciences at Stanford University in California.
Mirko Uljarević
Senior Research Fellow
School of Psychological Sciences at the University of Melbourne in Victoria, Australia
From this contributor
Teasing apart insistence on sameness with Mirko Uljarević
The hallmark autism trait has multiple facets, Uljarević and his colleagues have found.
Teasing apart insistence on sameness with Mirko Uljarević
In search of ‘social’ subtypes of autism
Grouping autistic people based on their social abilities may reveal subtypes of the condition.
In search of ‘social’ subtypes of autism
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.