Helen Tager-Flusberg is director of the Center for Autism Research Excellence at Boston University. Her research aims to untangle autism and language impairments using behavioral and brain-imagining studies. She was also a columnist for Spectrum.
Boston University
Helen Tager-Flusberg is director of the Center for Autism Research Excellence at Boston University. Her research aims to untangle autism and language impairments using behavioral and brain-imagining studies. She was also a columnist for Spectrum.
A diagnosis of social communication disorder only keeps people from a community and resources they desperately want and need.
Studying parents of children with autism has long been controversial, but that doesn’t mean scientists should avoid it.
Elsa, the star of the movie “Frozen,” is the poster child for girls with autism.
Scientists should slow down and return to the basic tenets of research to regain the public’s trust.
Trials to test drugs for autism suffer from subjective measurements and placebo effects. Helen Tager-Flusberg outlines how to ferret out the true effects of potential autism therapies.
Here is a roundup of autism-related news and research spotted around the web for the week of 13 April.
Here is a roundup of autism-related news and research spotted around the web for the week of 13 April.
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.
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.
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?
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?