Felicia Davatolhagh is a postdoctoral researcher at the University of California, Los Angeles in Anne Churchland’s lab, where she studies how cortical circuits are altered during decision-making in a genetic mouse model of autism. She also serves as a member of the neurobiology department’s Justice, Diversity and Inclusion (JEDI) group.
Felicia Davatolhagh
Postdoctoral researcher
University of California, Los Angeles
From this contributor
Women are systematically under-cited in neuroscience. New tools can change that.
An omitted citation in a high-profile paper led us to examine our own practices and to help others adopt tools that promote citation diversity.
Women are systematically under-cited in neuroscience. New tools can change that.
By
Anne Churchland, Felicia Davatolhagh
22 July 2024 | 5 min read
Explore more from The Transmitter
The fast-expanding repertoire of mitochondria in the brain
More than cellular powerhouses, these organelles also seem to help synapses communicate, support memory formation and even shape behavior.
The fast-expanding repertoire of mitochondria in the brain
More than cellular powerhouses, these organelles also seem to help synapses communicate, support memory formation and even shape behavior.
By
Giorgia Guglielmi
3 July 2026 | 7 min read
When autistic kids grow up, Chapter 5: The war dial
“You have to reshape the whole system.” Tempest McDonald earns a measure of peace.
When autistic kids grow up, Chapter 5: The war dial
“You have to reshape the whole system.” Tempest McDonald earns a measure of peace.
By
Brady Huggett
2 July 2026 | 42 min listen
Scientists decry conference’s use of hidden prompts to snare AI peer reviews
The invisible messages, which instruct large language models to use telltale phrases in a peer-review report, are effective in catching artificial-intelligence misuse but also erode trust, some say.
Scientists decry conference’s use of hidden prompts to snare AI peer reviews
The invisible messages, which instruct large language models to use telltale phrases in a peer-review report, are effective in catching artificial-intelligence misuse but also erode trust, some say.
By
Dalmeet Singh Chawla
1 July 2026 | 4 min read