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New technologies may aid early detection of autism
Emerging technologies and software may help assess the subtle behaviors, such as gaze or social gestures, that go awry in children with autism, researchers said at the Engineering and Autism conference earlier this month.
New technologies may aid early detection of autism
Emerging technologies and software may help assess the subtle behaviors, such as gaze or social gestures, that go awry in children with autism, researchers said at the Engineering and Autism conference earlier this month.
Automated analyses may improve study of social deficits
Sophisticated eye-tracking tools and other technologies are making it easier to record and analyze social interactions, and may help researchers study social deficits in children with autism. Researchers debuted some of these tools 28 September at the Engineering and Autism conference in Los Angeles.
Automated analyses may improve study of social deficits
Sophisticated eye-tracking tools and other technologies are making it easier to record and analyze social interactions, and may help researchers study social deficits in children with autism. Researchers debuted some of these tools 28 September at the Engineering and Autism conference in Los Angeles.
Explore more from The Transmitter
How to collaborate with AI
To make the best use of LLMs in research, turn your scientific question into a set of concrete, checkable proposals, wire up an automatic scoring loop, and let the AI iterate.
How to collaborate with AI
To make the best use of LLMs in research, turn your scientific question into a set of concrete, checkable proposals, wire up an automatic scoring loop, and let the AI iterate.
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.