Network neuroscience
Recent articles
It’s time to examine neural coding from the message’s point of view
In studying the brain, we almost always take the neuron’s perspective. But we can gain new insights by reorienting our frame of reference to that of the messages flowing over brain networks.
It’s time to examine neural coding from the message’s point of view
In studying the brain, we almost always take the neuron’s perspective. But we can gain new insights by reorienting our frame of reference to that of the messages flowing over brain networks.
What are mechanisms? Unpacking the term is key to progress in neuroscience
Mechanism is a common and powerful concept, invoked in grant calls and publication guidelines. But scientists use it in different ways, making it difficult to clarify standards in the field. We asked nine scientists to weigh in.
What are mechanisms? Unpacking the term is key to progress in neuroscience
Mechanism is a common and powerful concept, invoked in grant calls and publication guidelines. But scientists use it in different ways, making it difficult to clarify standards in the field. We asked nine scientists to weigh in.
Explore more from The Transmitter
David Sussillo on persistence, luck and the bonds between life and work
In a Q&A about his new book, “Emergence,” Sussillo shares why he wrote it and how challenging circumstances shaped his journey into neuroscience.
David Sussillo on persistence, luck and the bonds between life and work
In a Q&A about his new book, “Emergence,” Sussillo shares why he wrote it and how challenging circumstances shaped his journey into neuroscience.
Leucovorin, long-read sequencing, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 16 March.
Leucovorin, long-read sequencing, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 16 March.
Large-scale neuroimaging datasets often lack information specific to women’s health, constraining AI’s analysis potential
Addressing this gap will require collecting widespread data on pregnancy, menopause and other life events women experience—and could bring us closer to the “holy grail” of linking brain and behavior.
Large-scale neuroimaging datasets often lack information specific to women’s health, constraining AI’s analysis potential
Addressing this gap will require collecting widespread data on pregnancy, menopause and other life events women experience—and could bring us closer to the “holy grail” of linking brain and behavior.