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.
Explore more from The Transmitter
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.