Two neurons are not actually joined — a gap about 20 nanometres wide sits between them. To cross it, the signal has to turn from electrical into chemical, drift over, and turn back into electrical. The step is slow, fussy and unreliable, and evolution has held onto it anyway. This page walks through how it happens, and what that nuisance buys.
Zoom in on the end of an axon (that swollen tip is the presynaptic terminal), facing the dendrite of the next cell. Everything that follows the arrival of a spike takes less than a millisecond:
Here is an easily missed question of scale: one synapse is nowhere near loud enough to make the downstream cell fire. A typical cortical excitatory input nudges the far membrane up by a fraction of a millivolt, while the distance from rest to firing threshold is fifteen to twenty millivolts. So it takes tens, sometimes hundreds, of inputs arriving within a short window to drive a single spike. This is precisely why "at the same time" matters so much in a brain.
More surprising still, it isn't reliable: the same spike reaching the same synapse sometimes releases cargo and sometimes doesn't. Many central synapses release with a probability of only a few tenths. That looks like a defect, but a probability is a quantity that can be tuned — "will it release this time" is itself a knob learning can rewrite (synaptic plasticity).
One excitatory synapse usually carries two kinds of receptor with completely different tempers (the transmitter here is glutamate, the brain's main excitatory messenger — see neurotransmitter systems):
These two tempers reach a long way up. NMDA's "both must hold" underwrites Hebbian learning (cells that fire together wire together), and it underwrites the local nonlinearity in dendrites where inputs only ignite if they cluster on one branch — which is the subject of Topic 36, single-neuron computation.
About eighty percent of neurons are excitatory; the remaining fifth are inhibitory interneurons, releasing a transmitter called GABA that pushes the far membrane down, away from threshold. Don't picture that as easing off the accelerator — it is closer to a set of precision cutting tools. Some inhibitory cells target the cell body of their partner (vetoing the output outright), some target distal dendrites (silencing one incoming stream only), and some open and close rhythmically on a clock — which is how brain oscillations get their beat. Excitation supplies content; inhibition decides who is allowed to speak, and when.
There is an electrical version: the gap junction, a matched pair of pores letting current pass straight between two cells — near-zero delay, and bidirectional. The brain really does use them, especially where a group of cells has to stay synchronised to the millisecond. So if it's faster, why is the slow chemical synapse the default? Because that gap buys four things a wire cannot give:
Put differently: the 20-nanometre gap is not an engineering flaw. It is where the brain gets to learn.
Topic 4 Long-term memory · Topic 27 Addiction · Topic 35 Neural coding · Topic 36 Single-neuron computation (dendrites) · Topic 39 Biological plausibility of backprop
Chemical synapse · Neurotransmitter release · AMPA receptor · NMDA receptor · GABA · Gap junction · Quantal release (Katz)