Lydia Denworth is a New York-based science writer and author of I Can Hear You Whisper: An Intimate Journey through the Science of Sound and Language.
Lydia Denworth
Contributing writer
The Transmitter
From this contributor
The last two-author neuroscience paper?
Author lists on papers have ballooned, and it’s getting hard to discern contribution.
The promise of telehealth in autism diagnoses
The COVID-19 pandemic forced a reckoning, in which autism clinicians had to redefine best practices and expand how children are evaluated. The remote assessments they developed may help solve a persistent problem: the long wait families endure to get a diagnosis in the United States.
The promise of telehealth in autism diagnoses
The most personalized medicine: Studying your own child’s rare condition
A handful of scientists are committed to advancing research on the autism-related genetic conditions their own children have.
The most personalized medicine: Studying your own child’s rare condition
Owen’s odyssey: A year and a half after an autism diagnosis
This is part 2 of Owen’s story. It tracks his early progress in treatment for autism. Part 1 described his difficult path to a diagnosis.
Owen’s odyssey: A year and a half after an autism diagnosis
A quest for Quincy: Gene therapies come of age for some forms of autism
A gene therapy for Angelman syndrome stands at the forefront of efforts to treat autism-linked conditions that stem from single genes.
A quest for Quincy: Gene therapies come of age for some forms of autism
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?
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.
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.