Nicholette Zeliadt manages The Transmitters’s staff reporters and interns, and she commissions and edits news articles. She joined The Transmitter as news writer in 2014. Before that, she was a freelance writer and editor. Her work has appeared in The New York Times, Scientific American, Nature Medicine, Science and The Scientist.
Nicholette Zeliadt
Managing editor
The Transmitter
From this contributor
Leaving lasting marks with Tessa Montague
Spotted around the web: INSAR; cerebellar gene expression; pangenome
Spotted around the web: Mapping histones; COVID-19 births; acetaminophen lawsuits
New diagnostic code for PTEN syndrome may spur research
Education
- Ph.D. in environmental health, University of Minnesota
- B.A. in biochemistry, University of Iowa
Fellowships
- AAAS Mass Media Fellowship
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?