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.
From genes to dynamics: Examining brain cell types in action may reveal the logic of brain function
Defining brain cell types is no longer a matter of classification alone, but of embedding their genetic identities within the dynamical organization of population activity.
From genes to dynamics: Examining brain cell types in action may reveal the logic of brain function
Defining brain cell types is no longer a matter of classification alone, but of embedding their genetic identities within the dynamical organization of population activity.
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 term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.