Social behaviors
Recent articles
Soft touch quells loneliness in mice
Touch modulates one of two dueling types of hypothalamic neurons that, thermostat-like, balance an animal’s drive for social interaction.
Soft touch quells loneliness in mice
Touch modulates one of two dueling types of hypothalamic neurons that, thermostat-like, balance an animal’s drive for social interaction.
AI tool estimates social ability by analyzing speech
The system’s code and training data—drawn from one of the largest databases of speech recordings from autistic people—are openly available.
AI tool estimates social ability by analyzing speech
The system’s code and training data—drawn from one of the largest databases of speech recordings from autistic people—are openly available.
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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.