Alisa Opar is a California-based science writer and the articles editor at Audubon magazine.
Alisa Opar
Freelance writer
Simons Foundation
From this contributor
In search of truce in the autism wars
The fight between those who define autism as a medical condition and those who see it as a mere difference has reached vitriolic levels. Can the two sides come together to support all autistic people?
New group faces backlash over its goals for severe autism
A new advocacy group for people with severe autism taps into the deep divide in the community over who should speak for those on the spectrum.
New group faces backlash over its goals for severe autism
How to help low-income children with autism
Autistic children from low-income families are undercounted and underserved, a gap community leaders are working to bridge.
The healthcare system is failing autistic adults
Adults on the spectrum frequently have a range of other conditions — but they rarely get the help they need.
Why children with ‘severe autism’ are overlooked by science
Children with ‘severe autism’ are the most in need of help, yet the most overlooked in research. A new initiative is making them the primary focus.
Why children with ‘severe autism’ are overlooked by science
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.