Natalia de Marco is a postdoctoral associate in Gordon Fishell’s laboratory at New York University Langone Medical Center in the departments of cell biology and neural science.
Natalia de Marco
Postdoctoral associate
NYU Langone Medical Center
From this contributor
A case for the importance of interneurons in autism
The etiology of autism may be best understood as an impairment of neuronal circuits, specifically interneurons that dampen signals in the brain, says neuroscientist Gordon Fishell.
A case for the importance of interneurons in autism
By
Gordon Fishell, Natalia de Marco
22 November 2011 | 5 min read
Explore more from The Transmitter
By
Claudia López Lloreda, Calli McMurray, Natalia Mesa, Madeline Shaw
5 October 2026
11 min read
How Nobel Prize-winning optogenetics has revolutionized neuroscience
The technique has enabled neuroscientists to target brain circuits and cells with unprecedented specificity, transforming the study of memory, interoception, brain disorders and reward, among other domains.
How Nobel Prize-winning optogenetics has revolutionized neuroscience
The technique has enabled neuroscientists to target brain circuits and cells with unprecedented specificity, transforming the study of memory, interoception, brain disorders and reward, among other domains.
By
Claudia López Lloreda, Calli McMurray, Natalia Mesa, Madeline Shaw
5 October 2026 | 11 min read
Is confidence a second thought—or part of the first one?
In some settings, neural circuits may calculate confidence in a decision simultaneously with the choice itself. That changes the types of questions researchers should ask.
Is confidence a second thought—or part of the first one?
In some settings, neural circuits may calculate confidence in a decision simultaneously with the choice itself. That changes the types of questions researchers should ask.
By
Ariel Zylberberg
5 October 2026 | 6 min read
What AI can learn from hunger
To enhance AI safety, take a lesson from biological brains; a small set of wants maintains durable control over a much larger cognitive system.
What AI can learn from hunger
To enhance AI safety, take a lesson from biological brains; a small set of wants maintains durable control over a much larger cognitive system.
By
Anthony Zador
5 October 2026 | 6 min read