George Musser is an award-winning science writer and editor. He was a senior editor at Scientific American for 15 years and has written two books on fundamental physics, “The Complete Idiot’s Guide to String Theory” (2008) and “Spooky Action at a Distance” (2015). He has written for Science, Nature, Quanta, Aeon, Nautilus, The New York Times and other publications. His website is georgemusser.com. He tweets at @gmusser.

George Musser
Contributing writer
From this contributor
Can an emerging field called ‘neural systems understanding’ explain the brain?
This mashup of neuroscience, artificial intelligence and even linguistics and philosophy of mind aims to crack the deep question of what "understanding" is, however un-brain-like its models may be.

Can an emerging field called ‘neural systems understanding’ explain the brain?
How ‘social touch’ shapes autism traits
Autistic people have unusual responses to 'affective touch,' which conveys social and emotional information. Their responses may reveal how autism begins.
The predictive coding theory of autism, explained
In autism, a person's brain may not form accurate predictions of imminent experiences, or even if it does, sensory input may override those predictions.
How virtual reality is transforming autism studies
Researchers and autistic artists exploring virtual reality to study, treat and simulate autism traits.

How virtual reality is transforming autism studies
How autism may stem from problems with prediction
A 'predictive coding' theory of autism suggests that many of the condition's hallmark traits occur when sensory input overrides expectation in the brain.

How autism may stem from problems with prediction
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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.