Simon Prades
Illustrator
From this contributor
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
Fruit flies use memory to track odors
When flies encounter a tasty smell, they stroll in and out of the odor plume—a process that depends on encoding a memory of the angle needed to travel back to the plume, according to a new study.
Fruit flies use memory to track odors
When flies encounter a tasty smell, they stroll in and out of the odor plume—a process that depends on encoding a memory of the angle needed to travel back to the plume, according to a new study.
New methods to contextualize autism-linked genes, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 7 September.
New methods to contextualize autism-linked genes, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 7 September.
Dimensionality—neuroscience’s red herring?
Placing too much emphasis on a specific interpretation of dimensionality, or treating it as an end-all quantification of some aspect of neural computation, may hinder progress in understanding the brain.
Dimensionality—neuroscience’s red herring?
Placing too much emphasis on a specific interpretation of dimensionality, or treating it as an end-all quantification of some aspect of neural computation, may hinder progress in understanding the brain.