Steinmetz Lab University of Washington

Department of Neurobiology & Biophysics

Brain-wide circuits for perception, cognition, and action

We study how distributed circuits turn sensations into decisions, using large-scale electrophysiology, calcium imaging, and optogenetics. Our work aims to reveal the biological mechanisms of thought at a brain-wide scale.

Behind this text: 141 neurons recorded simultaneously, 90 s of a real Neuropixels recording from our lab. Each mark is one spike; rows are sorted by depth along the probe.

What we do

Our core research questions

Each panel below is real data from the lab and the collaborations we are part of.

  1. Behavior

    How do we choose our actions based on what we see?

    Mice report what they saw by turning a wheel, which gives us hundreds of precisely measured choices per session, quantified with psychophysical modeling.

  2. Neuropixels

    What neurons across the brain contribute to vision and decision-making?

    With next-generation probes we record thousands of channels simultaneously, from cortex to hindbrain.

  3. Cortex-wide imaging

    What are the brain dynamics that give rise to behavior?

    Activity crosses the cortex in coordinated patterns, including waves that sweep and rotate, which we measure with imaging and electrophysiology.

  4. Circuits

    What circuits underlie brain-wide computation and dynamics?

    High-precision anatomical approaches and optogenetic manipulations of brain activity tell us which projections actually carry a signal, and what happens without them.

Cortical imaging

Mouse brain activity over the cortical surface

An example cortex-wide calcium recording, running in real time, visualizing activity from both hemispheres of dorsal cortex at 35 frames per second.

Subject ZYE_0092, 2 June 2025. The trace below the image is mean fluorescence across the frame - click or drag along it to jump to that moment.

dorsal cortex · dF/F 0.00 s
141 neurons · ordered by depth 0.0–8.0 s

Electrophysiology

Large-scale measurement at single-spike resolution

Every dot is one action potential from one neuron. Rows run from the top of the probe down into the brain, so a vertical streak represents many cells firing together.

Spikes shown 0 Population rate 0.0 spikes/s

A single recording, sorted with Kilosort. The trace below the raster is population firing rate - click or drag along it to move the window, or use the arrow keys.

141 neurons not enough? Click!

Publications

Recent work

All 70 publications · Google Scholar · ORCID

People

Our team

Nick SteinmetzPrincipal Investigator
Kim MillerResearch Scientist
Fabiola Duarte OrtizPostdoctoral Scientist
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Aditya DeolePostdoctoral Scientist
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Edward YanPostdoctoral Scientist, CIHR Fellow
Saghar MirbagheriPhD Student
Anna LiPhD Student, NIH F31 Fellow
Nancy MackenziePhD Student
Xander LaddPhD Student
Rachel YinUndergraduate Scientist, Goldwater Scholar
Alice GettigUndergraduate Scientist
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Zhorzh ZelenkovUndergraduate Scientist
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Annie WuUndergraduate Scientist
Kimmie ShenoyUndergraduate Scientist
Ian McFaddenUndergraduate Scientist, summer
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Allison LinHigh-School Summer Student
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Bersabel BahruHigh-School Summer Student, BRIGHT-UP

Plus 30 alumni · All current and alumni

News

Lab news

Updates on papers, awards, and more.

August 2026

Saghar Mirbagheri successfully defends PhD thesis!

On "Prediction Content Shapes Population Representations in Mouse Primary Visual Cortex".

July 2026

Anna Li successfully defends PhD thesis!

On "Causal and distributed mechanisms of cortical computation".

All news

Open science

Shared data and code

Everything below is public. We encourage and support re-analysis and re-use of our work.

Datasets

Software

  • Pinpoint — plan probe insertions
  • SlidingRP — refractory-period contamination metric
  • widefield — analyze cortex-wide imaging data
  • allenCCF — work with the Allen atlas
  • Alyx — experiment database

We are hiring postdocs and taking rotation students.

How to join the lab