Lilia Iakoucheva is associate professor of psychiatry at the University of California, San Diego.
Lilia Iakoucheva
Associate professor
University of California, San Diego
From this contributor
The future of autism therapies: A conversation with Lilia Iakoucheva and Derek Hong
If a therapy for autism’s core traits makes it to market, it will likely take one of three forms, the researchers say.
The future of autism therapies: A conversation with Lilia Iakoucheva and Derek Hong
Tangled web of proteins holds clues to autism’s complexity
Understanding how mutations in genes linked to autism perturb the different versions of proteins the genes form could reveal new targets for treatments.
Tangled web of proteins holds clues to autism’s complexity
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Watching the mind build a world: Lucid dreaming as a model for generative perception
Lucid dreaming offers a rare opportunity to observe and probe perception from within.
Watching the mind build a world: Lucid dreaming as a model for generative perception
Lucid dreaming offers a rare opportunity to observe and probe perception from within.
From friend to foe: How the brain updates feelings toward others
A specific hippocampus-to-amygdala pathway reassigns emotional valence to a known individual, whereas the hippocampus’s own representation of that individual’s identity remains stable.
From friend to foe: How the brain updates feelings toward others
A specific hippocampus-to-amygdala pathway reassigns emotional valence to a known individual, whereas the hippocampus’s own representation of that individual’s identity remains stable.
Mass-produced science is coming. What happens to scientists?
Artificial intelligence may soon enable researchers to generate high-quality science at a previously unimaginable speed. For science consumers—the public, medical patients, technology users—the likely effects will be positive. For scientists, the effects will be as disruptive as industrial mass production was for artisan manufacturers.
Mass-produced science is coming. What happens to scientists?
Artificial intelligence may soon enable researchers to generate high-quality science at a previously unimaginable speed. For science consumers—the public, medical patients, technology users—the likely effects will be positive. For scientists, the effects will be as disruptive as industrial mass production was for artisan manufacturers.