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
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.