Bias
Recent articles
Poor image quality introduces systematic bias into large neuroimaging datasets
Analyses that include low-quality MRI data underestimate cortical thickness and overestimate cortical surface area, according to new findings from the Adolescent Brain Cognitive Development (ABCD) Study.
Poor image quality introduces systematic bias into large neuroimaging datasets
Analyses that include low-quality MRI data underestimate cortical thickness and overestimate cortical surface area, according to new findings from the Adolescent Brain Cognitive Development (ABCD) Study.
Community newsletter: Autism acceptance training and autistic driver research
Twitter had a lot to say about a study suggesting that autistic drivers have similar or even slightly lower rates of vehicle crashes.
Community newsletter: Autism acceptance training and autistic driver research
Twitter had a lot to say about a study suggesting that autistic drivers have similar or even slightly lower rates of vehicle crashes.
Explore more from The Transmitter
Leucovorin saga, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.
Leucovorin saga, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Seven neuroscientists weigh in on what that tectonic change may bring to the field.
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Seven neuroscientists weigh in on what that tectonic change may bring to the field.
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.