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
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
By
Claudia López Lloreda
12 November 2026 | 1 min watch
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
By
Giorgia Guglielmi
12 November 2026 | 4 min read
Future of AI brain models sparks debate
Neuroscientists are divided about whether foundation models that predict brain responses will help the field understand how brains work.
Future of AI brain models sparks debate
Neuroscientists are divided about whether foundation models that predict brain responses will help the field understand how brains work.
By
Natalia Mesa
11 November 2026 | 10 min read