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Amid confusion around U.S. science, some neuroscientists prepare to rally
Eight neuroscientists at different career stages spoke with The Transmitter about whether they plan to participate in the upcoming “Stand Up for Science” demonstrations across the United States on 7 March.
Amid confusion around U.S. science, some neuroscientists prepare to rally
Eight neuroscientists at different career stages spoke with The Transmitter about whether they plan to participate in the upcoming “Stand Up for Science” demonstrations across the United States on 7 March.
How to explore your scientific values and develop a vision for your field
As a new professor, I was caught off guard by one part of the job: my role as an evaluator.
How to explore your scientific values and develop a vision for your field
As a new professor, I was caught off guard by one part of the job: my role as an evaluator.
Explore more from The Transmitter
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.