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How tiny tardigrades could help tackle systems neuroscience questions
The eight-legged, millimeter-long animals reveal how small nervous systems produce complex behaviors and perceptual abilities, a preprint suggests.
How tiny tardigrades could help tackle systems neuroscience questions
The eight-legged, millimeter-long animals reveal how small nervous systems produce complex behaviors and perceptual abilities, a preprint suggests.
New connectomes fly beyond the brain
Researchers are mapping the neurons in Drosophila’s ventral nerve cord, where the central nervous system meets the rest of the body.
New connectomes fly beyond the brain
Researchers are mapping the neurons in Drosophila’s ventral nerve cord, where the central nervous system meets the rest of the body.
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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.