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Dispute erupts over role of sticky proteins in astrocytes
But multiple independent researchers say they are not convinced by its results, which fail to confirm high-profile findings from 2017.
Dispute erupts over role of sticky proteins in astrocytes
But multiple independent researchers say they are not convinced by its results, which fail to confirm high-profile findings from 2017.
On the periphery: Thinking ‘outside the brain’ offers new ideas about autism
Neuronal alterations outside the brain may help to explain a host of the condition’s characteristic traits, including sensory changes, gut problems and motor differences.
On the periphery: Thinking ‘outside the brain’ offers new ideas about autism
Neuronal alterations outside the brain may help to explain a host of the condition’s characteristic traits, including sensory changes, gut problems and motor differences.
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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.