Raphael Bernier is professor of psychiatry at the University of Washington and clinical director of the Seattle Children’s Autism Center.
Raphael Bernier
Assistant Professor
University of Washington, Seattle
From this contributor
Through play, children with autism can hone thinking skills
Clinicians can use play to deliver therapies that could improve a child’s social skills, language and certain cognitive capacities.
Through play, children with autism can hone thinking skills
Best practices
Guidelines for the use of electroencephalography in autism will ensure that researchers have a common set of standards, which will speed up discovery, say Sara Jane Webb and Raphael Bernier.
How do we measure autism severity?
Accurately measuring the severity of autism remains a challenge for the field. The answer may lie in using more than one approach that varies depending on whether it is being applied in a clinical or research context, says Raphael Bernier.
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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.
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.
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?