Emily Casanova is research assistant professor of biomedical sciences at the University of South Carolina School of Medicine Greenville.

Emily Casanova
Research assistant professor
University of South Carolina
From this contributor
How the autonomic nervous system may govern anxiety in autism
The branch of the nervous system that regulates subconscious bodily processes such as breathing and digestion may play a key role in autism.

How the autonomic nervous system may govern anxiety in autism
What Ehlers-Danlos syndrome can teach us about autism
Not much is known about the connection between autism and Ehlers-Danlos syndrome, a condition that affects collagen. But preliminary work provides tantalizing clues.

What Ehlers-Danlos syndrome can teach us about autism
Evolution of autism genes hints at their fundamental roles in body
Genes associated with autism are ancient, and mutations in them have wide-ranging effects on the body, indicating their importance.

Evolution of autism genes hints at their fundamental roles in body
Explore more from The Transmitter
Video catches microglia in the act of synaptic pruning
Live cell imaging reveals the clearest picture yet of this elusive process. Whether it’s something these cells do regularly remains up for debate.
Video catches microglia in the act of synaptic pruning
Live cell imaging reveals the clearest picture yet of this elusive process. Whether it’s something these cells do regularly remains up for debate.
Gabriele Scheler reflects on the interplay between language, thought and AI
She discusses how verbal thought shapes cognition, why inner speech is foundational to human intelligence and what current artificial-intelligence models get wrong about language.
Gabriele Scheler reflects on the interplay between language, thought and AI
She discusses how verbal thought shapes cognition, why inner speech is foundational to human intelligence and what current artificial-intelligence models get wrong about language.
Accepting “the bitter lesson” and embracing the brain’s complexity
To gain insight into complex neural data, we must move toward a data-driven regime, training large models on vast amounts of information. We asked nine experts on computational neuroscience and neural data analysis to weigh in.

Accepting “the bitter lesson” and embracing the brain’s complexity
To gain insight into complex neural data, we must move toward a data-driven regime, training large models on vast amounts of information. We asked nine experts on computational neuroscience and neural data analysis to weigh in.