ACS 2014
Recent articles
Word grasp at 12 months may reflect autism symptoms
Children later diagnosed with autism understand different types of words at 12 months of age than their typically developing peers, according to unpublished research presented Tuesday at the Autism Consortium Research Symposium in Boston.
Word grasp at 12 months may reflect autism symptoms
Children later diagnosed with autism understand different types of words at 12 months of age than their typically developing peers, according to unpublished research presented Tuesday at the Autism Consortium Research Symposium in Boston.
Seizures trigger autism-like behaviors in mice
Mice with an extra copy of the autism-linked gene UBE3A show abnormal social behavior after experiencing recurrent seizures. The findings, presented Tuesday at the Autism Consortium Research Symposium in Boston, provide one possible explanation for why seizures and autism often go hand in hand.
Seizures trigger autism-like behaviors in mice
Mice with an extra copy of the autism-linked gene UBE3A show abnormal social behavior after experiencing recurrent seizures. The findings, presented Tuesday at the Autism Consortium Research Symposium in Boston, provide one possible explanation for why seizures and autism often go hand in hand.
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.