PMDSF 2012
Recent articles
In Phelan-McDermid, motor neurons show irregularities
Motor neurons derived from individuals with Phelan-McDermid syndrome, a rare autism-related disorder, form abnormal connections with muscle cells. The unpublished research was presented 26 July at a meeting of the Phelan-McDermid Syndrome Foundation in Orlando.
In Phelan-McDermid, motor neurons show irregularities
Motor neurons derived from individuals with Phelan-McDermid syndrome, a rare autism-related disorder, form abnormal connections with muscle cells. The unpublished research was presented 26 July at a meeting of the Phelan-McDermid Syndrome Foundation in Orlando.
Scientists track adult regression in autism-related syndrome
Several scientists at the Phelan-McDermid Syndrome Foundation's annual meeting focused on the wide range of symptoms, including a sudden loss of motor and cognitive skills, that seem to crop up in adults with the disorder.
Scientists track adult regression in autism-related syndrome
Several scientists at the Phelan-McDermid Syndrome Foundation's annual meeting focused on the wide range of symptoms, including a sudden loss of motor and cognitive skills, that seem to crop up in adults with the disorder.
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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.
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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.