Connie Kasari is professor of human development and psychology at the University of California, Los Angeles. She is the principal investigator for several multi-site research programs and a founding member of the university’s Center for Autism Research and Treatment.
Connie Kasari
From this contributor
How much behavioral therapy does an autistic child need?
People tend to believe that, regardless of the treatment, more is always better. But is it?
How much behavioral therapy does an autistic child need?
Learning when to treat repetitive behaviors in autism
Some restricted and repetitive behaviors may have hidden benefits for people with autism, so scientists should work to find a happy medium between acceptance and change.
Learning when to treat repetitive behaviors in autism
School’s in
School-based interventions are arguably the best way to reach the truly underserved, under-represented and under-resourced children with autism, says Connie Kasari.
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Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.