Matthew Judson is a research associate in the UNC Neuroscience Center at the University of North Carolina at Chapel Hill.
Matthew Judson
Research associate
University of North Carolina at Chapel Hill
From this contributor
Angelman syndrome: Bellwether for genetic therapy in autism
It is not a matter of whether there will be clinical trials of genetic therapy for Angelman syndrome, but when.
Angelman syndrome: Bellwether for genetic therapy in autism
Insights for autism from Angelman syndrome
Deletions or duplications of the UBE3A gene lead to both Angelman syndrome and some cases of autism, respectively. Studying the effects of altered gene dosage in this region will provide insights into brain defects and suggest targets for therapies for both disorders, says expert Benjamin Philpot.
Insights for autism from Angelman syndrome
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.