Theories of autism
Recent articles
The signaling imbalance theory of autism, explained
The signaling imbalance theory holds that the brains of autistic people are hyper-excitable because of either excess neuronal activity or weak brakes on that activity.

The signaling imbalance theory of autism, explained
The signaling imbalance theory holds that the brains of autistic people are hyper-excitable because of either excess neuronal activity or weak brakes on that activity.
The female protective effect, explained
One of the leading theories of autism posits that girls and women are biologically protected from the condition.

The female protective effect, explained
One of the leading theories of autism posits that girls and women are biologically protected from the condition.
The extreme male brain, explained
The ‘extreme male brain’ theory suggests that autism is an exaggeration of systematic sex differences in ways of thinking.

The extreme male brain, explained
The ‘extreme male brain’ theory suggests that autism is an exaggeration of systematic sex differences in ways of thinking.
Serotonin’s link to autism, explained
Serotonin, the brain chemical best known for its link to depression, may also be involved in autism.

Serotonin’s link to autism, explained
Serotonin, the brain chemical best known for its link to depression, may also be involved in autism.
The multiple hits theory of autism, explained
Researchers are studying how a combination of genetic ‘hits’ may contribute to autism’s diversity.

The multiple hits theory of autism, explained
Researchers are studying how a combination of genetic ‘hits’ may contribute to autism’s diversity.
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.

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.
The connectivity theory of autism, explained
A growing body of evidence suggests that autism involves atypical communication between brain regions, but how and where in the brain this plays out is unclear.

The connectivity theory of autism, explained
A growing body of evidence suggests that autism involves atypical communication between brain regions, but how and where in the brain this plays out is unclear.
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.