Nora Bradford is a California-based freelance writer specializing in neuroscience, marine biology and biomedical sciences. She has a B.S. in neuroscience, psychology and philosophy from the University of Chicago and is completing a Ph.D. in cognitive science at University of California, Irvine.

Nora Bradford
Contributing Writer
Spectrum
From this contributor
Epigenome edits unmute MECP2 in Rett-like neurons
The approach removes methyl tags from the gene and shields it from other silencing factors without changing the gene itself, raising hopes for a new treatment.

Epigenome edits unmute MECP2 in Rett-like neurons
Common and rare autism-linked variants share functional effects
Within the 16p region of the genome, the two types of variants similarly decrease neuronal gene expression — an effect that may reflect their spatial relationship.

Common and rare autism-linked variants share functional effects
Auditory cortex may develop early in autism
A well-studied brain response to sound appears earlier than usual in young children with autism.

Auditory cortex may develop early in autism
Explore more from The Transmitter
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.

Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.

Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.

The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.