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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Microglia implicated in infantile amnesia
The glial cells could explain the link between maternal immune activation and autism-like behaviors in mice, but methodological challenges prompt questions about the new evidence.
Microglia implicated in infantile amnesia
The glial cells could explain the link between maternal immune activation and autism-like behaviors in mice, but methodological challenges prompt questions about the new evidence.
Oligodendrocytes need mechanical cues to myelinate axons correctly
Without the mechanosensor TMEM63A, the cells cannot deposit the appropriate amount of insulation, according to a new study.
Oligodendrocytes need mechanical cues to myelinate axons correctly
Without the mechanosensor TMEM63A, the cells cannot deposit the appropriate amount of insulation, according to a new study.
Modern AI is simply no match for the complexity likely required for harboring consciousness, says Jaan Aru
He argues that our brain’s computations are of a completely different nature than any artificial intelligence because they take place across many spatial and temporal scales and are inextricably entwined with biological materials.
Modern AI is simply no match for the complexity likely required for harboring consciousness, says Jaan Aru
He argues that our brain’s computations are of a completely different nature than any artificial intelligence because they take place across many spatial and temporal scales and are inextricably entwined with biological materials.