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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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Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.