Research Topics

Li-Huei Tsai

Picower Professor of Neuroscience
Li-Huei Tsai joined the faculty of Harvard Medical School in 1994. In 2006, she joined MIT’s Picower Institute and the Department of Brain and Cognitive Sciences and was named the Director of the Picower Institute in 2009.

MIT Team Reveals What Happens to Brain Immune Cells During Alzheimer’s Development

December 7, 2017
In the news

A Ray of Hope in the Fight Against Alzheimer's Disease

November 16, 2017
Interview

Improved Social Interaction and Cognition in Mouse Models of Autism Spectrum Disorder

October 26, 2017
Research Findings
Studies in mice show promise for human treatment of 16p11.2 deletion syndrome

MIT neuroscientists build case for new theory of memory formation

October 23, 2017
Research Findings
Existence of “silent engrams” suggests that existing models of memory formation should be revised.

Cellular reprograming implicated in model of Alzheimer's disease

October 17, 2017
Research Findings
Neuroscientists identify genetic changes in microglia in a mouse model of neurodegeneration and Alzheimer's disease.

Brain waves reflect different types of learning

October 11, 2017
Research Findings
For the first time, researchers have identified neural signatures of explicit and implicit learning.

Kay Tye receives NIH Pioneer Award

October 5, 2017
Awards
The award will be used to map the neural circuitry of social interactions and develop a mathematical model for complex group behaviors.

How we recall the past

August 17, 2017
Research Findings
Neuroscientists discover a brain circuit dedicated to retrieving memories.

Blocking a key enzyme may reverse memory loss

August 8, 2017
Research Findings
MIT study suggests a new approach to developing treatments for Alzheimer’s disease.

New tool offers snapshots of neuron activity

June 26, 2017
Neurotechnology
FLARE technique can reveal which cells respond during different tasks.

Brain circuit enables split-second decisions when cues conflict

April 24, 2017
Research Findings
New findings shed light on how we quickly assess risks and rewards before acting.