Carrie Arnold is a Virginia-based freelance science journalist who covers many aspects of the living world. She’s a contributing editor at NOVA Next, and has also written for Mosaic, National Geographic, Aeon, Nautilus, Scientific American and Women’s Health. She is also the author of “Decoding Anorexia: How Breakthroughs in Science Offer Hope for Eating Disorders.”
Carrie Arnold
From this contributor
Weighing up autism’s obesity crisis
Autism’s underlying biology, associated behaviors and treatments can all put people on the spectrum at serious risk for obesity.
Rare form of autism shows unique pattern of regression
More than 40 percent of children with Phelan-McDermid syndrome lose skills they once had, beginning, on average, at age 6.
Rare form of autism shows unique pattern of regression
The innovators: How families launch their own autism studies
Some parents are starting ‘N-of-1’ studies for autism, but their efforts don’t always get taken seriously.
The innovators: How families launch their own autism studies
The invisible link between autism and anorexia
Autism and anorexia may seem to have nothing in common, but below the surface, the two conditions are startlingly similar—and sometimes affect the same person.
The invisible link between autism and anorexia
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.