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
Explore more from The Transmitter
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.