Jon Han
Illustrator
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Nonsense correlations and how to avoid them
This statistical error is common in systems neuroscience. Fortunately, straightforward methods can help you prevent it.
Nonsense correlations and how to avoid them
The future of autism therapies: A conversation with Lilia Iakoucheva and Derek Hong
If a therapy for autism’s core traits makes it to market, it will likely take one of three forms, the researchers say.
The future of autism therapies: A conversation with Lilia Iakoucheva and Derek Hong
It’s time to embrace ‘profound autism’
My experience at the Autism-Europe International Congress — and as a parent of a child with profound autism — makes me more convinced than ever that we need to bifurcate the diagnosis of ‘autism spectrum disorder’ and add a new diagnosis of ‘profound autism’ to better serve this vulnerable population.
Ways to make autism research more diverse and inclusive
Scientists must focus on the importance of representative study samples and of engaging with diverse autism community members.
Ways to make autism research more diverse and inclusive
Six steps to using machine learning for animal behavior research
Machine-learning tools are widely available and can help speed up studies in animal models of autism. Here’s how to get started with the ‘minimal viable product’ and a few pro tips.
Six steps to using machine learning for animal behavior research
Explore more from The Transmitter
Reconstructing dopamine’s link to reward
The field is grappling with whether to modify the long-standing theory of reward prediction error—or abandon it entirely.
Reconstructing dopamine’s link to reward
The field is grappling with whether to modify the long-standing theory of reward prediction error—or abandon it entirely.
Dopamine and the need for alternative theories
Some experimental findings are inconsistent with the dominant model of reward prediction error, highlighting the need for alternative testable and falsifiable models for dopamine function.
Dopamine and the need for alternative theories
Some experimental findings are inconsistent with the dominant model of reward prediction error, highlighting the need for alternative testable and falsifiable models for dopamine function.
Does a new theory of dopamine replace the classic model?
My answer would be no, but the model poses challenges that will sharpen our understanding of dopamine and learning.
Does a new theory of dopamine replace the classic model?
My answer would be no, but the model poses challenges that will sharpen our understanding of dopamine and learning.