Research map/Stanford University/Karl Deisseroth Lab

Research group guide

Karl Deisseroth Lab

Karl Deisseroth

Controlling, mapping and modeling neural circuits across cell types, space and behavior.

Official research website ↗

Independent educational resource. Not affiliated with or endorsed by this university or laboratory.

Questions behind the work

Research questions

01

How can targeted perturbations test a neural circuit hypothesis?

02

How do molecular cell identities connect to anatomy and population dynamics?

03

What can human cortical organoid models establish, and what remains uncertain?

Your recommended path

Learn this research

Research primer

Controlling, Mapping, and Modeling Neural Circuits

9 lessons · ~48 minutes

An independent primer on optogenetics, neural activity measurement, CLARITY, spatial transcriptomics, brain-wide circuit dynamics, human cortical organoids, and xenocortication, designed around research themes relevant to the Karl Deisseroth Lab.

Watch videos
  1. 01From neurons to circuits: how do we establish causality?
  2. 02Optogenetics: controlling defined neurons with light
  3. 03Watching neural activity while animals behave
  4. 04CLARITY: making an intact brain transparent
  5. 05STARmap: where are the molecularly defined cells?
  6. 06From cell types to brain-wide dynamics and behavior
  7. 07Human brain organoids: what can they model?
  8. 08Xenocortication: building a developmental human-circuit model
  9. 09What did xenocortication actually show?

Key concepts

Connecting cells, networks, models, and behavior

Evaluate what a computational model fitted to neural data does and does not establish.

Correlation versus causal intervention

Distinguish an observed correlation from a causal intervention.

Distributed neural population dynamics

Describe distributed population activity using neural states and trajectories.

Electrophysiology and optical activity measurements

Compare electrophysiological and optical methods for measuring neural activity.

Human cortical organoids as developmental models

Trace how cortical organoids are derived from pluripotent stem cells.

Human-organoid development and integration in a host brain

Describe how human organoid-derived tissue was studied as it developed and integrated in a host brain.

Interpreting artificial neural perturbations

Interpret what an optogenetic perturbation does and does not show.

Interpreting xenocortication evidence

Identify which conclusions the xenocortication evidence supports.

Linking gene expression to anatomical location

Relate cell type and anatomical location to circuit function.

Necessity, sufficiency, and circuit hypotheses

Explain necessity and sufficiency as separate circuit hypotheses.

Optogenetic targeting and opsin-based control

Trace how a light-sensitive protein expressed in selected neurons changes their activity.

Relating neural dynamics to behavior

Explain why neural signals aligned to behavior can have several interpretations.

Scientific limitations, translation, and ethical interpretation

Distinguish supported findings from claims the study did not show, including ethical considerations.

Spatial transcriptomics and molecular cell identity

Explain why spatial transcriptomics combines molecular identity with tissue location.

Strengths and limitations of in-vitro organoid systems

Weigh the strengths and limitations of in-vitro organoid systems.

Structural versus functional information

Distinguish the structural information CLARITY provides from functional activity measurements.

Tissue clearing and intact-system mapping

Explain how hydrogel stabilization and lipid removal make fixed tissue optically accessible.

Xenocortication experimental design

Explain the experimental logic of the 2026 xenocortication study.

Important papers

Nature · 2026

Developmental xenocortication using human-derived organoids in mice

Kaganovsky K, Kelley KW, Gschwind T, Harary PM, et al., Deisseroth K, Pașca SP

Why this matters: A multi-group Stanford collaboration led by the Pașca lab, with Deisseroth among contributors; developmental models do not establish clinical efficacy.

DOI: 10.1038/s41586-026-11032-2

Independent project ideas inspired by this research

Projects you could do

Educational ideas using public or synthetic data. These projects are not offered or supervised by the lab or research group.

Introductory

Compare neural activity measurement trade-offs

Computational / literature-data study

Simulate spikes and calcium traces; quantify how smoothing changes temporal interpretation.

Background
Electrophysiology, Calcium imaging, Python
Data
Synthetic signals only.
Output
Reproducible notebook or evidence table + research poster

Independent educational idea, not offered or supervised by the lab. Use public or synthetic data only; no wet-lab, animal, clinical or human-subject procedures.

Introductory

Map molecular cell identity in a toy tissue

Computational / literature-data study

Build a reproducible spatial-expression dataset and compare spatial groups with expression-only clusters.

Background
Spatial transcriptomics, Statistics
Data
Synthetic spatial coordinates and expression values.
Output
Reproducible notebook or evidence table + research poster

Independent educational idea, not offered or supervised by the lab. Use public or synthetic data only; no wet-lab, animal, clinical or human-subject procedures.

Introductory

Audit claims from cortical organoid studies

Computational / literature-data study

Create a claim-evidence matrix distinguishing measured integration, developmental stage and untested clinical claims.

Background
Cortical organoids, Scientific interpretation
Data
The publicly linked Revah and xenocortication papers.
Output
Reproducible notebook or evidence table + research poster

Independent educational idea, not offered or supervised by the lab. Use public or synthetic data only; no wet-lab, animal, clinical or human-subject procedures.

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