Charles A. Nelson is professor of pediatrics and neuroscience at Harvard Medical School and director of research at Boston Children’s Hospital’s Developmental Medicine Center.
Charles A. Nelson
Research director
Boston Children's Hospital
From this contributor
How separating children from parents causes irreparable harm
Science teaches us that housing children in institution-like settings is likely to cause severe and permanent damage to their minds and bodies.
How separating children from parents causes irreparable harm
Romanian orphans reveal clues to origins of autism
Understanding autism features in children who were deprived of social contact as infants could offer clues to the condition.
Romanian orphans reveal clues to origins of autism
Explore more from The Transmitter
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.