Brady Huggett is features editor at The Transmitter, where he writes and edits features and long-form projects. He is also the creator and host of the “Synaptic” podcast. Before joining The Transmitter in 2022, he served as business editor at Nature Biotechnology, and prior to that was the managing editor of BioWorld.
Brady Huggett
Features editor
The Transmitter
From this contributor
Releasing the Hydra with Rafael Yuste
Timothy Ryan on his pivotal switch from studying particle physics to decoding synaptic transmission
Biosensors and being fearless with Lin Tian
Education
- M.A. in creative writing, The New School
- M.A. in journalism, University of North Carolina at Chapel Hill
- B.S. in biology from Wake Forest University in Winston-Salem, North Carolina
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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.