Simon Simard
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Improvising to study brains in the wild: Q&A with Nacho Sanguinetti-Scheck
A joke at a neuroscience summer program nearly a decade ago ignited a lifelong research interest for this Uruguayan scientist—one that plays on his comedic strengths.
Improvising to study brains in the wild: Q&A with Nacho Sanguinetti-Scheck
On the high seas with Florian Engert and Bence Ölveczky
The two neuroscientists leave this week to take on the most dangerous leg of the Clipper Round the World Yacht Race — sailing from South Africa to Australia through the fabled “Roaring Forties,” latitudes of the Southern Ocean known for their towering waves and prevailing gale-force westerlies.
On the high seas with Florian Engert and Bence Ölveczky
Capturing autism’s sleep problems with devices nearable and wearable
Next-generation trackers could realize a long-standing research dream: conducting sleep studies in large numbers of autistic people.
Capturing autism’s sleep problems with devices nearable and wearable
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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.