Siri Carpenter is an award-winning science writer and editor based in Madison, Wisconsin. Her work has appeared in The New York Times, The Los Angeles Times, The Washington Post, O: the Oprah Magazine, Science, Scientific American Mind, Science News, and many other publications. She’s first author on the psychology textbook Visualizing Psychology (John Wiley & Sons, 2007). She is also co-founder and editor-in-chief of The Open Notebook, a nonprofit organization and website that provides resources to help science journalists improve their skills.
Siri Carpenter
Freelance Writer
Spectrum
From this contributor
The children who leave autism behind
Some children shed the symptoms of autism and eventually lose their diagnosis. What sets them apart?
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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.