From neurons to circuits: how do we establish causality?
Distinguish an observed correlation from a causal intervention.
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## Neurons and circuits
A **neuron** receives inputs, integrates them, and fires brief electrical pulses called **action potentials**. Neurons connect at **synapses**. An **excitatory** synapse makes the receiving neuron more likely to fire; an **inhibitory** synapse makes it less likely. Connected neurons form **neural circuits**. Researchers often study **cell populations** — groups of neurons sharing a type or location — and their **projections**, the long axons that carry signals to other regions.
## Observation versus intervention
Two kinds of evidence look similar but mean very different things:
- **Observation:** population A becomes active during behavior X.
- **Causal intervention:** manipulating population A changes behavior X.
Observation shows a *correlation*. Population A might drive the behavior — or it might respond to the sensory input, the movement itself, the animal's arousal, or the consequence of the behavior. Only by changing A and watching what happens can we test whether A influences X.
## Necessity and sufficiency
Interventions test two different hypotheses:
- **Necessity:** if we *silence* A, does behavior X fail or weaken? If so, A is needed (under these conditions).
- **Sufficiency:** if we *activate* A, does behavior X appear even without its usual trigger? If so, A can drive it.
These are separate questions. A population can be necessary without being sufficient (it is one required piece), or sufficient without being necessary (other routes can also produce the behavior).
## A causal role is not the whole story
Showing that A has a causal role does **not** mean A is the only circuit responsible. Behaviors usually depend on many interacting populations, and the brain can compensate. A careful conclusion says: "under these conditions, manipulating A changed X" — and then asks which other cells and connections are involved.
## The course framework
GENES → CELL TYPES → CIRCUITS → NETWORK DYNAMICS → BEHAVIOR, studied by four complementary approaches: **map**, **record**, **perturb**, and **model**. Understanding a neural circuit requires several of these ways of observing and testing the same biological system.
## Further reading
- [Deisseroth Lab (Stanford)](https://web.stanford.edu/group/dlab/)
- Developmental xenocortication using human-derived organoids in mice. *Nature* (2026) — collaborative work by multiple Stanford groups and investigators.