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Research group guide
Karl Deisseroth Lab
Karl DeisserothControlling, 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
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.
- 01From neurons to circuits: how do we establish causality?
- 02Optogenetics: controlling defined neurons with light
- 03Watching neural activity while animals behave
- 04CLARITY: making an intact brain transparent
- 05STARmap: where are the molecularly defined cells?
- 06From cell types to brain-wide dynamics and behavior
- 07Human brain organoids: what can they model?
- 08Xenocortication: building a developmental human-circuit model
- 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
Nat Neurosci 8:1263–1268 · 2005
Millisecond-timescale, genetically targeted optical control of neural activity
Boyden ES, Zhang F, Bamberg E, Nagel G, Deisseroth K
Why this matters: Introduces genetically targeted optical control of neural activity.
DOI: 10.1038/nn1525
Nature 497:332–337 · 2013
Structural and molecular interrogation of intact biological systems
Chung K, Wallace J, Kim S-Y, et al., Deisseroth K
Why this matters: Establishes intact structural and molecular mapping through tissue clearing.
DOI: 10.1038/nature12107
Science 361:eaat5691 · 2018
Three-dimensional intact-tissue sequencing of single-cell transcriptional states
Wang X, Allen WE, Wright MA, et al., Deisseroth K
Why this matters: Links cell transcriptional states to positions in intact tissue.
DOI: 10.1126/science.aat5691
Nature 610:319–326 · 2022
Maturation and circuit integration of transplanted human cortical organoids
Revah O, Gore F, Kelley KW, et al., Deisseroth K, Pașca SP
Why this matters: Studies maturation and integration of human cortical organoids in a host model; collaborative work.
DOI: 10.1038/s41586-022-05277-w
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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