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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Home makeover helps rats better express themselves: Q&A with Raven Hickson and Peter Kind
The “Habitat”—a complex environment with space for large social groups—expands the behavioral repertoire of rodent models, Hickson and Kind say.
Home makeover helps rats better express themselves: Q&A with Raven Hickson and Peter Kind
The “Habitat”—a complex environment with space for large social groups—expands the behavioral repertoire of rodent models, Hickson and Kind say.
Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions
Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.
Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience
Machine learning should not be a replacement for human judgment but rather help us embrace the various assumptions and interpretations that shape behavioral research.
Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience
Machine learning should not be a replacement for human judgment but rather help us embrace the various assumptions and interpretations that shape behavioral research.