Behavioral intervention
Recent articles
Owen’s odyssey: A year and a half after an autism diagnosis
This is part 2 of Owen’s story. It tracks his early progress in treatment for autism. Part 1 described his difficult path to a diagnosis.
Owen’s odyssey: A year and a half after an autism diagnosis
This is part 2 of Owen’s story. It tracks his early progress in treatment for autism. Part 1 described his difficult path to a diagnosis.
How autism researchers are applying machine-learning techniques
Researchers are using machine learning to improve diagnostic predictions of autism, create interactive support robots, and more.
How autism researchers are applying machine-learning techniques
Researchers are using machine learning to improve diagnostic predictions of autism, create interactive support robots, and more.
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.
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?