Displaying 81 - 100 news posts of 153
This paper changed my life: Bill Newsome reflects on a quadrilogy of classic visual perception studies
The 1970s papers from Goldberg and Wurtz made ambitious mechanistic studies of higher brain functions seem feasible.
Dopamine "gas pedal" and serotonin "brake" team up to accelerate learning
Mice learn fastest and most reliably when they experience an increase in dopamine paired with an inhibition of serotonin in their nucleus accumbens, a new study shows, helping to resolve long-standing questions about the neuromodulators’ relationship.
Non-invasive brain stimulation opens new ways to study and treat the brain
Practice doesn't always make perfect: Seizures worsen by co-opting one of the brain’s mechanisms for learning
Juliet Knowles's research has recently shown that the brain can use adaptive myelination to perfect “skills” that are actually pathological, such as having seizures.
Brain-cell "periodic table" for psychiatric disorders reveals new schizophrenia clues
Stanford Medicine research demonstrates a new way of detecting cells implicated in the malfunctions that cause psychiatric diseases.
Dopamine and serotonin work in opposition to shape learning
Seeing sounds, tasting colors (re-release)
The BRAIN Initiative: the national vision for the future of neuroscience is now in doubt
The cannabinoids within: how marijuana hijacks an ancient signaling system in the brain
Getting to know Stanford’s first data science faculty
Laura Gwilliams, a Wu Tsai Neuro faculty scholar, and Brian Hie are the inaugural faculty of Stanford Data Science. Their work spans multiple disciplines but is united by the desire to explore and leverage large volumes of real-world data.
Jay McClelland receives 2024 Golden Goose Award
Work on human cognition by the founding director of the Wu Tsai Neuro Center for Mind, Brain, Computation and Technology was foundational for neural-network-based computational modeling