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Neural Circuits

A hallmark of how our brains work is the interactions of neurons in circuits via dynamically formed connections called synapses. Picower scientists identify, map, and analyze circuits involved in learning and memory, emotion and behavior, and other brain functions both in health and disease.

Neural Plasticity

A requirement of learning and memory is a brain capable of stably encoding change. Throughout our lives, in response to our experiences, our neurons form new synaptic connections and prune away others. Scientists in the Picower Institute study these processes of plasticity, elucidating their workings down to the molecule, to better understand how they work.

Synapse Mapping

A typical neuron has thousands of synapses that connect it with other neurons in neural circuits. The location, type and constantly changing strength of each of these synapses determine how each neuron plays its role in the brain and how circuits are remodeled by experience. Research at the Picower Institute to map synapses is therefore essential to understanding how neural connections underlie brain functions and disease.

Genetic Engineering

Biological research often calls for imbuing cells, tissue, or animal models in the lab with specific new capabilities – or disabilities, for instance to observe the differences between altered and unaltered cells. Picower Institute neuroscientists employ advanced techniques such as CRISPR/Cas9, 3D stem cell and printing technologies, and transgenics to conduct such experiments.

After 16+ years leading Picower Institute, Li-Huei Tsai will sharpen focus on research, teaching

March 11, 2026
Picower People
Tsai, who has grown the MIT neuroscience institute, will increase focus on research including Alzheimer’s disease and Down syndrome

In Rett syndrome, leaky brain blood vessels traced to microRNA

February 25, 2026
Research Findings
MIT neuroscientists have found that either of two genetic mutations that cause Rett syndrome undermine the structural integrity of developing blood vessels. By showing that the problem derives from overexpression of a microRNA, the new study points to a p

As worms and jellyfish wriggle, new AI tools track their neurons

February 24, 2026
Research Findings
Three new neural network-based tools enable fast, accurate alignment and annotation of images even in very wiggly subjects. The tools might offer a way to automate cell tracking in other imaging datasets, too.

Sloan Fellowship will help Fan advance technology to study how brain circuits change amid learning

February 17, 2026
Picower People
Linlin Fan uses innovative optical tools to precisely investigate how connections change among neurons during memory formation. With Sloan Foundation support, she plans to give the technology a significant upgrade

Fragile X study uncovers brainwave biomarker bridging humans and mice

February 11, 2026
Research Findings
A collaboration centered at MIT discovered that mice modeling the autism spectrum disorder fragile X syndrome exhibit the same pattern of differences in low-frequency waves as human patients, identifying a new biomarker for treatment studies

Opening a new window on the brainstem, AI algorithm enables tracking of its vital white matter pathways

February 6, 2026
Research Findings
Filled with vitally important neural fibers, the brainstem has been hard for brain imaging technologies to dissect. New software reliably and finely resolves eight distinct nerve bundles in live diffusion MRI scans, revealing signs of injury or disease

How a unique class of neurons may set the table for brain development

January 14, 2026
Research Findings
A new MIT study finds that somatostatin-expressing neurons follow a unique trajectory when forming connections in the brain’s visual cortex that may help establish the conditions needed for sensory experience to refine circuits.

Biology-based brain model matches animals in learning, enables new discovery

December 29, 2025
Research Findngs
A new ‘biomimetic’ model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and even identified curious behavior by some neurons that had gone unnoticed in real-brain data.