Matt Carey is the parent of a child with multiple disabilities, including autism. He is also an industrial researcher in computer hardware. Due to his interest in autism and his research background, Carey has spent much of the past 10 years writing about research and alternative medicine on the blog Left Brain/Right Brain. He is also a former public member of the Interagency Autism Coordinating Committee.
Matt Carey
Industrial researcher and parent of a child with autism
From this contributor
Scientists must curb tendency to try untested treatments
People may misconstrue basic research as ready remedies, so scientists must work to prevent misinterpretation of their findings.

Scientists must curb tendency to try untested treatments
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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.