Jen Monnier is an intern at Spectrum. She is a journalist in New York City, covering medicine, technology and ecosystems. She’s also a graduate student at New York University’s Science, Health and Environmental Reporting program.
Jen Monnier
From this contributor
Early interventions, explained
The accepted wisdom in autism research holds that early intervention offers the best promise for an autistic child’s well-being. But how effective are these therapies?
Multipart device monitors various senses in babies
A new assemblage of tools precisely gauges a baby’s biological response to sights, sounds and tactile stimuli all at once.
Multipart device monitors various senses in babies
New consortium may create projects, funding for autism research
A newly formed group of leaders from the U.S. National Institutes of Health (NIH) is poised to generate funding opportunities for child health research, including autism science.
New consortium may create projects, funding for autism research
Glowing capsule illuminates problems in gut
An ingestible electronic capsule enables researchers to instantaneously detect molecules associated with gastrointestinal issues.
Explore more from The Transmitter
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.
‘Wired for Words: The Neural Architecture of Language,’ an excerpt
In his new book, Hickok provides a detailed overview of the research into the circuits that control speech and language. In this excerpt from Chapter 5, he shares how meeting his colleague David Poeppel led to them developing the theory for bilateral speech perception.
‘Wired for Words: The Neural Architecture of Language,’ an excerpt
In his new book, Hickok provides a detailed overview of the research into the circuits that control speech and language. In this excerpt from Chapter 5, he shares how meeting his colleague David Poeppel led to them developing the theory for bilateral speech perception.