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
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The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.