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
By
Lauren Schenkman
30 October 2023 | 6 min read
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
By
Thomas Frazier, Mirko Uljarević
21 July 2020 | 5 min read
Explore more from The Transmitter
Autism-linked genes alter sleep behavior, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 13 April.
Autism-linked genes alter sleep behavior, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 13 April.
By
Jill Adams
14 April 2026 | 2 min read
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.
By
Erin Calipari
14 April 2026 | 5 min read
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?
By
Juan Gallego
13 April 2026 | 8 min read