Official feed of @Stanford Wu Tsai Neurosciences Institute. Unlocking the mysteries of brain and behavior through cross-disciplinary research.

Stanford University
Only two weeks left to register for the Knight Initiative - Rosenkranz Aging Symposium on Nov 6! Registration is required by Nov 3. Stanford affiliates may also sign up to present a research poster through the registration form by Nov 3. Registration link in the thread below.
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Naoshige Uchida of Harvard University presented his research in a talk titled "The core neural circuit for learning to predict" at our first Mind, Brain, Computation, and Technology seminar of the scholastic year.
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Wu Tsai Neurosciences Institute retweeted
The Fame Lab was thrilled to attend this Symposium with co-organized by Ryann @ScienceDame and Kalanit Grill Spector @kalatwt about the New Frontiers of Developmental Neuroscience! What fantastic speakers and new ideas!
Our 13th Annual Stanford Neurosciences Symposium has begun! Our topic: Building the Brain. We’re exploring how our brains wire themselves up from a few cells into the three pounds of matter in our skulls that makes us who we are.
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Wu Tsai Neurosciences Institute retweeted
Congratulations @ali_ghoochani on receiving the 2026 Sammy Kuo Awards for Meritorious Neuroscience Research at @StanfordBrain 🎉👏 Well-deserved recognition for outstanding work on #brain #lysosomes and neurological disease. #Neuroscience
Replying to @StanfordBrain
Congratulations to graduate students Matine M. Azadian, Mark Plitt (@markplitt), Konstantin Kaganovsky (@KaganovskyNeuro), Muhammad Abdulla, and Olivia Gautier and postdocs Ian Guldner, Yuting Jessy Tan, and Ali Ghoochani (@ali_ghoochani).
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Our 13th Annual Stanford Neurosciences Symposium has begun! Our topic: Building the Brain. We’re exploring how our brains wire themselves up from a few cells into the three pounds of matter in our skulls that makes us who we are.
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In his closing remarks, Institute director Kang Shen summarizes what we’ve learned: about the interplay of innate developmental programs and experience, the challenges producing and parsing developmental data, and the value of artificial models to study brain development.
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“There’s a huge gap still between molecules and behavior, and this is a gap we all need to come together to bridge.” – Kang Shen And that's a wrap!
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