Simon Prades
Illustrator
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Knowledge graphs can help make sense of the flood of cell-type data
These tools, widely used in the technology industry, could provide a foundation for the study of brain circuits.
Knowledge graphs can help make sense of the flood of cell-type data
Where do cell states end and cell types begin?
High-throughput transcriptomics offers powerful new methods for defining different types of brain cells. But we need to think more explicitly about how we use these data to distinguish a cell’s permanent identity from its transient states.
Where do cell states end and cell types begin?
Building a brain: How does it generate its exquisite diversity of cells?
High-throughput technologies have revealed new insights into how the brain develops. But a truly comprehensive map of neurodevelopment requires further advances.
Building a brain: How does it generate its exquisite diversity of cells?
Change of heart and mind: Autism’s ties to cardiac defects
Children with congenital heart disease have an increased likelihood of autism. Why?
Change of heart and mind: Autism’s ties to cardiac defects
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.