Kenna Hughes-Castleberry is science communicator at JILA and editor-in-chief of their journal, Light & Matter. She is also a freelance science journalist. Her beats include quantum technology, artificial intelligence, diversity within the tech industries, animal intelligence, corvids and cephalopods. Her work has been featured in various publications, including Scientific American, New Scientist, Discover Magazine, Ars Technica, Nature Biotechnology, Astronomy Magazine, Leaps Magazine, Hakai Magazine, ChemistryWorld, Physics.org, Colorado Magazine, Inside Quantum Technology, The Debrief and more. She sits on the board of the Science Writers Association of the Rocky Mountains (SWARM) and teaches science writing to graduate students at JILA.
Kenna Hughes-Castleberry
Contributing writer
From this contributor
Number-associated neurons help crows link values to symbols
Comparable neurons also exist in primates, which shared a common ancestor with crows more than 300 million years ago, suggesting that the ability to “count” evolved independently in the two lineages.
Number-associated neurons help crows link values to symbols
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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.