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The Transmitter’s favorite features of 2024
Our chosen stories include tales about research misconduct in the lab, a neuroscientist working at the end of the world, and the passing of neuroanatomy’s “great-grandfather,” Harvey Karten.
The Transmitter’s favorite features of 2024
Our chosen stories include tales about research misconduct in the lab, a neuroscientist working at the end of the world, and the passing of neuroanatomy’s “great-grandfather,” Harvey Karten.
Going deep: The Transmitter’s top long-form stories in 2023
Our favorite features and book excerpts from the past year delved into the neurobiology of cancer; problems with survey data; free will; mathematical minds; and questions around one startup’s quest to treat brain conditions with cell therapies.
Going deep: The Transmitter’s top long-form stories in 2023
Our favorite features and book excerpts from the past year delved into the neurobiology of cancer; problems with survey data; free will; mathematical minds; and questions around one startup’s quest to treat brain conditions with cell therapies.
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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. Six 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. Six 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.