Elizabeth Preston is a science writer and editor in the Boston area. She has written for The Atlantic, Wired, Jezebel and the Boston Globe, among other publications. Her blog, Inkfish, is published by Discover.
Elizabeth Preston
From this contributor
Test paints quick picture of intelligence in autism
A picture-based test is a fast and flexible way to assess intelligence in large studies of people with autism.
Test paints quick picture of intelligence in autism
New atlases chart early brain growth in monkeys
A collection of brain scans from monkeys aged 2 weeks to 12 months reveals how their brain structures and nerve tracts develop over time.
New atlases chart early brain growth in monkeys
Work in progress: An inside look at autism’s job boom
Splashy corporate initiatives aim to hire people with autism, but finding and keeping work is still a struggle for those on the spectrum. Can virtual avatars and for-profit startups help?
Work in progress: An inside look at autism’s job boom
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?