Natasha Gilbert is a freelance writer who has spent a decade covering the environment, biology, agriculture and education for outlets including The Guardian, National Public Radio and Scientific American. She is a former staff reporter for Nature. She has an M.Sc. in philosophy of science from the London School of Economics and a B.Sc. in environmental biology from the University of Reading in the U.K. She is a native Londoner living in Washington, D.C.
Natasha Gilbert
From this contributor
Snapshots reveal striking changes in adult brain over time
The most detailed depiction of an individual brain to date shows that the connections in a person's brain vary significantly over the course of a year and a half.
Snapshots reveal striking changes in adult brain over time
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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?