Defining cell types
Recent articles
This series explores how new high-throughput technologies are changing the way we define brain-cell types—and the challenges that remain.
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
These tools, widely used in the technology industry, could provide a foundation for the study of brain circuits.
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?
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.
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?
High-throughput technologies have revealed new insights into how the brain develops. But a truly comprehensive map of neurodevelopment requires further advances.
Welcome to the second single-cell revolution: New high-throughput technologies are transforming how we define neurons
This ongoing essay series will explore questions these technologies raise, as well as opportunities they provide for understanding development, evolution and disease.
Welcome to the second single-cell revolution: New high-throughput technologies are transforming how we define neurons
This ongoing essay series will explore questions these technologies raise, as well as opportunities they provide for understanding development, evolution and disease.
Explore more from The Transmitter
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.
‘Ancient’ brainstem structure evolved beyond basic motor control
The human red nucleus may also help coordinate action, reward and motivated behavior, a new study suggests.
‘Ancient’ brainstem structure evolved beyond basic motor control
The human red nucleus may also help coordinate action, reward and motivated behavior, a new study suggests.
Reporter’s notebook: Highlights from INSAR 2025
The annual meeting brought autism researchers, advocates and clinicians to Seattle to discuss the latest research, including attempts to define subgroups, a potential new CHD8 macaque model and life expectancy gaps.
Reporter’s notebook: Highlights from INSAR 2025
The annual meeting brought autism researchers, advocates and clinicians to Seattle to discuss the latest research, including attempts to define subgroups, a potential new CHD8 macaque model and life expectancy gaps.