Sandra Jones is pro vice-chancellor of engagement at Australian Catholic University in Melbourne, Australia. As an academic, she has researched autistic adolescent development, public understanding and acceptance of autism, and autistic people’s lived experiences of inclusion and exclusion. As an autistic woman and the mother of two adult autistic sons, she is a passionate advocate for the inclusion of autistic people in all aspects of society.
Sandra Jones
Pro vice-chancellor of engagement, Australian Catholic University
From this contributor
How the loss of Asperger syndrome has lasting repercussions
Some people who have lost the diagnosis of Asperger syndrome say they feel a loss of identity and worry about a loss of services.
How the loss of Asperger syndrome has lasting repercussions
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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.
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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?