Richard Bethlehem is a postdoctoral fellow and research associate at the Autism Research Centre and Brain Mapping Unit at the University of Cambridge in the United Kingdom. He studies integrated neuroimaging and transcriptomics to gain better understanding of the biological underpinnings of typical and atypical neurodevelopment.
Richard Bethlehem
Research associate
University of Cambridge
From this contributor
Q&A with Richard Bethlehem: What goes into a Brainhack
Brainhack conferences offer talks and hands-on tutorials, and unite small groups of interdisciplinary researchers to work on open-source neuroscience projects.
Q&A with Richard Bethlehem: What goes into a Brainhack
How normative modeling can reframe autism’s heterogeneity
Normative modeling could capture variability among autistic people and allow for individualized assessments.
How normative modeling can reframe autism’s heterogeneity
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Processing facial emotions, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 4 May.
Processing facial emotions, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 4 May.
Gene activity in human cortex shows striking sex differences
The results mark a “dramatic shift” in how neuroscientists think about sex differences, and they may help explain sex biases in certain neurodegenerative and neurodevelopmental conditions.
Gene activity in human cortex shows striking sex differences
The results mark a “dramatic shift” in how neuroscientists think about sex differences, and they may help explain sex biases in certain neurodegenerative and neurodevelopmental conditions.
Why expertise won’t protect you from AI’s influence
When writing a grant or reasoning about a problem, artificial intelligence can exert a subtle bias that often goes undetected, even if we’re doing our best to be aware of it.
Why expertise won’t protect you from AI’s influence
When writing a grant or reasoning about a problem, artificial intelligence can exert a subtle bias that often goes undetected, even if we’re doing our best to be aware of it.