The only "letter" the brain writes with: a single all-or-none electrical pulse. This page covers the parts it lives on, how it gets triggered, why it has to be all-or-none — and one fact that usually gets left out: large parts of the nervous system don't use that letter at all, and finish their computing in smooth, continuous voltage instead.
A neuron isn't mysterious. Functionally it's four stages:
At rest there's a voltage difference across the membrane, inside about −70 millivolts relative to outside. Input from the dendrites nudges that number upward, and once it crosses a line (about −55 mV, the threshold) a fixed routine fires off. Whether you barely cross or blow past it, the flip has the same height, shape and duration:
Because it has to travel far. A smoothly varying voltage (an analog signal) decays within about a millimetre of membrane. An all-or-none pulse doesn't: it is regenerated from scratch at every step along the way, so a pulse arriving after a metre looks identical to one arriving after a millimetre. The price is that the amplitude dimension is given up entirely — all the information has to be squeezed into when it fires, how densely, and which cell fired.
Myelin is the matching accelerator: an insulating sheath that glial cells wrap around the axon (glial cells). Along the wrapped stretches the pulse isn't rebuilt point by point; it hops, refreshing only at the bare gaps (nodes of Ranvier), which takes conduction speed from around a metre per second to over a hundred. Multiple sclerosis is what happens when the immune system strips that sheath: signals arrive late and out of order.
Textbooks can leave the impression that nervous system = spikes. Not so. The first cell layers in the retina — photoreceptors and bipolar cells — produce no action potentials whatsoever. They work entirely in continuously varying voltage, computing contrast and edges along the way, and only the last layer (ganglion cells) converts the result into pulses for the trip to the brain (visual pathway).
The rule is clean: spike when you need distance, stay analog when you're computing locally. Summation inside dendrites, synaptic strength, small local circuits — all analog. So "a neuron is a switch" is a convenient simplification; a large share of the actual computation happens in the continuous territory before the switch.
There's also a bill to pay. Spikes are expensive: after every one, ion pumps have to haul the displaced sodium and potassium back where they belong, and those pumps are a major share of the brain's energy budget. So evolution kept firing frugal — only a small fraction of neurons are spiking at any given moment, while the rest sit quiet. That constraint shapes how the brain encodes everything.
Topic 35 Neural coding · Topic 36 Single-neuron computation (dendrites) · Topic 40 Spiking networks & neuromorphic computing · Topic 41 The 20-watt miracle
Action potential · The Hodgkin–Huxley model (1963 Nobel — the four steps above, written as equations) · Myelin · Saltatory conduction · Graded potentials