May 14, 2018
Research Topics
As this gallery of featured people and projects illustrates, Picower Institute scientists study brain structure and function at scales from genes and molecules to cells, circuits and regions. They also study the behaviors and cognitive processes that result, and seek to uncover how disruptions at different scales can result in developmental, psychiatric or neurodegenerative disorders. They employ—and often invent—the newest technologies in their work. To learn more about any of these specific areas, click "Research Topics" above, select areas of interest, and you'll find relevant Picower people, discoveries and events.
Li-Huei Tsai
Picower Professor of Neuroscience
Research Areas
Cdk5, dementia, hippocampus, chromatin, LTD, amyloid beta, HDAC2, epigenetics, CRISPR/Cas9, iPSCs, multiphoton, stem cells, neurodegeneration Brain circuit helps us learn by watching others
May 3, 2018
Research Findings
Scientists pinpoint neural interactions that are necessary for observational learning.
Study IDs important role for specific gene in 16p11.2 deletion autism
March 20, 2018
Research Findings
Study finds MVP protein needed for homeostatic plasticity
Making waves for health
March 1, 2018
News feature
Innovative insights, methods raise clnical potential of instilling brain waves
New study reveals how brain waves control working memory
January 26, 2018
Research findings
Brain rhythms act as a gate for information entering and leaving the mind.
Distinct brain rhythms, regions help us reason about categories
January 25, 2018
Research Findings
Gamma rhythms sort similar-looking objects; beta kicks in when connection is more abstract
Lifting the veil on ‘valence,’ brain study reveals roots of desire, dislike
January 23, 2018
Research Findings
Research reveals inner workings of amygdala, which assigns feelings to experiences
How the brain selectively remembers new places
December 25, 2017
Research findings
Neuroscientists identify a circuit that helps the brain record memories of new locations.
Recalculating time: A novel algorithm enables statistical analysis of time series data
December 21, 2017
Research findings
MIT researchers have developed a novel approach to analyzing time series data sets using a new algorithm, termed state-space multitaper time-frequency analysis
