Emma Yasinski is a freelance writer covering biology, neuroscience and medicine. Her stories have appeared in The Scientist, Discover Magazine, Smithsonian Magazine, Kaiser Health News and other publications. Yasinski has an M.Sc. in science and medical journalism from Boston University and a B.S. in neuroscience from Lafayette College in Easton, Pennsylvania.
Emma Yasinski
Contributing writer
From this contributor
Parental care may sculpt brain development in prairie voles
Voles reared primarily by their fathers show altered synapse density.
Parental care may sculpt brain development in prairie voles
By
Emma Yasinski
1 September 2023 | 3 min read
Social-pragmatic difficulties common with autism, other diagnoses
A standard questionnaire can help identify social (pragmatic) communication disorder more readily in school-age children.
Social-pragmatic difficulties common with autism, other diagnoses
By
Emma Yasinski
4 October 2022 | 4 min read
Fragile X neurons develop atypically in chimeric mice
After a brain transplant of reprogrammed human cells, the animals can for the first time recapitulate some neuronal changes seen in people with fragile X syndrome.
Fragile X neurons develop atypically in chimeric mice
By
Emma Yasinski
29 September 2022 | 4 min read
Inflexible thinking in adolescence linked to emotional, behavioral issues in adulthood
Treating cognitive inflexibility — for example, by practicing problem-solving — might help ease anxiety and depression in autistic people.
Inflexible thinking in adolescence linked to emotional, behavioral issues in adulthood
By
Emma Yasinski
22 October 2021 | 3 min read
Mutations linked to autism may be detectable in men’s sperm
An advanced DNA-sequencing technique has identified gene-damaging mutations, some with ties to autism, in about 1 in 15 men.
Mutations linked to autism may be detectable in men’s sperm
By
Emma Yasinski
16 September 2021 | 5 min read
Explore more from The Transmitter
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?
By
Juan Gallego
13 April 2026 | 8 min read
Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
By
Natalia Mesa
10 April 2026 | 5 min read
Embrace complexity to improve the translatability of basic neuroscience
Researchers must learn to view heterogeneity as an essential feature of the systems they study and a central consideration in experimental design, not a variable to control for or reduce.
Embrace complexity to improve the translatability of basic neuroscience
Researchers must learn to view heterogeneity as an essential feature of the systems they study and a central consideration in experimental design, not a variable to control for or reduce.
By
Linda Douw, Klaus Eyer, Lara Keuck
9 April 2026 | 5 min read