David Trembath
Senior Lecturer
Griffith University, Australia
From this contributor
Individual traits predict outcomes in autism
The best predictors of treatment outcomes for children with autism may be subtle learning characteristics that are not specific to children with the disorder, rather than the symptoms that led to their diagnosis, say David Trembath and Giacomo Vivanti.
Individual traits predict outcomes in autism
Explore more from The Transmitter
‘Wired for Words: The Neural Architecture of Language,’ an excerpt
In his new book, Hickok provides a detailed overview of the research into the circuits that control speech and language. In this excerpt from Chapter 5, he shares how meeting his colleague David Poeppel led to them developing the theory for bilateral speech perception.
‘Wired for Words: The Neural Architecture of Language,’ an excerpt
In his new book, Hickok provides a detailed overview of the research into the circuits that control speech and language. In this excerpt from Chapter 5, he shares how meeting his colleague David Poeppel led to them developing the theory for bilateral speech perception.
Plumbing the link between anti-CASPR2 antibodies and autism; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 1 December.
Plumbing the link between anti-CASPR2 antibodies and autism; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 1 December.
This paper changed my life: Nancy Padilla-Coreano on learning the value of population coding
The 2013 Nature paper by Mattia Rigotti and his colleagues revealed how mixed selectivity neurons—cells that are not selectively tuned to a stimulus—play a key role in cognition.
This paper changed my life: Nancy Padilla-Coreano on learning the value of population coding
The 2013 Nature paper by Mattia Rigotti and his colleagues revealed how mixed selectivity neurons—cells that are not selectively tuned to a stimulus—play a key role in cognition.