Katharine Gammon is an award-winning independent science journalist based in Santa Monica, California. Her work has appeared in The New York Times, The Atlantic, WIRED, The Guardian, Undark, Popular Science, MIT Technology Review, Nature, Hakai and beyond.
Katharine Gammon
From this contributor
Spotted around the web: Mapping histones; COVID-19 births; acetaminophen lawsuits
Here is a roundup of news and research for the week of 31 October.
Spotted around the web: Mapping histones; COVID-19 births; acetaminophen lawsuits
A mix of common and rare variants shapes autism inheritance patterns
The study also reveals a link between language development and common variants.
A mix of common and rare variants shapes autism inheritance patterns
Zebrafish point to new gene involved in brain overgrowth, autism
The gene, YTHDF2, has not previously been linked to autism.
Zebrafish point to new gene involved in brain overgrowth, autism
Lags in genetic testing, variant reporting hinder autism research
Few autistic people undergo the recommended genetic testing for their condition, and test results often do not make their way into public databases, where researchers and clinicians can learn from them.
Lags in genetic testing, variant reporting hinder autism research
Explore more from The Transmitter
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.