Rachel Nuwer is a freelance science journalist who regularly contributes to The New York Times, Nature, Scientific American and more. Her latest book is “I Feel Love: MDMA and the Quest for Connection in a Fractured World.” She is also adjunct professor of science journalism at New York University.
Rachel Nuwer
Contributing writer
From this contributor
Lisa Croen: Autism’s first dedicated epidemiologist
Inspired by watching her autistic nephew grow up, Croen has also been an advocate for bolstering research and services for autistic adults.
Lisa Croen: Autism’s first dedicated epidemiologist
Finding strengths in autism
Autism comprises a set of difficulties, but growing evidence suggests that certain abilities also define the condition.
Meet the autistic scientists redefining autism research
Growing ranks of researchers on the spectrum are overcoming barriers — from neurotypical bias to sensory sensitivities — to shape autism science.
Meet the autistic scientists redefining autism research
Growing old with autism
For many autistic adults, the golden years are tarnished by poor health, poverty and, in some cases, homelessness. Their plight reveals huge gaps in care.
Mouse study links gene to some autism symptoms
Mice missing a gene called PTCHD1 in a deep-seated brain structure have autism-like symptoms that ease with treatment.
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.