🔍🧬 Genetic code
23 lessons

The Synapse: Where Signals Become Decisions

The gap between neurons is where the computing happens — chemical votes, counted in millivolts, decide whether the next cell fires.

lesson 2 of 2 in this unit

Builds on: 8.1 The Neuron: Electricity from a Battery of Ions

The signal changes vehicles

Between one neuron and the next is a gap of about 20 nanometres — far too wide for the voltage spike to jump. So the signal changes vehicles. An arriving spike makes the sending terminal release neurotransmitters — small molecules stored in bubbles — which drift across the gap and dock onto receptor proteins on the receiving side, opening ion channels there. Electrical → chemical → electrical, in about a millisecond.

Why bother with the detour? Because a gap can do things a solid wire cannot: it can be strengthened, weakened, blocked, and — crucially — it can vote no.

Excitation, inhibition, and the vote

Some synapses are excitatory: their transmitter opens channels that nudge the receiving neuron’s voltage up toward threshold. Others are inhibitory: they push the voltage down, away from it. A typical neuron collects thousands of both kinds, and their effects sum — close together in time and space, plus votes and minus votes all land on the same membrane. Cross −55 mV and the axon fires; fall short and nothing happens.

fire if: rest + Σ(excitation) − Σ(inhibition) ≥ thresholda neuron is a voting machine with a cutoff

That summing-with-a-threshold is a genuine computation — engineers borrowed exactly this arithmetic for artificial neural networks. Everything your brain does is built from roughly 86 billion of these voting machines, wired by about a hundred trillion synapses.

Learning lives in the gap

Synapses are adjustable: use one repeatedly and it grows stronger — more transmitter released, more receptors listening. Neuroscientists compress this into “cells that fire together wire together.” Memories are not filed in some storage organ; they are patterns of strengthened and weakened synapses. When you finish this course, what has physically changed in you is synaptic weights.

Why drugs act here

A chemical gap is a chemical target, which is why nearly every mind-altering substance works at the synapse. Caffeine blocks the receptor for adenosine, an inhibitory “sleep pressure” signal — blocking an inhibitor feels like a stimulant. SSRIs slow the clean-up of serotonin, so each release lingers longer. Botox blocks transmitter release at nerve–muscle synapses: the vote never arrives, and the muscle relaxes. Same machinery, three different levers.

Why your reaction time is ~200 ms

Axons are fast, but every synapse costs about a millisecond, and a stimulus-to-button-press chain crosses many of them — plus the brain’s own deliberation. Sprinters who leave the blocks under 100 ms after the gun are disqualified: no human chain of synapses is that short, so they must have jumped.

⚗️ Lab — The Voting Machine

Excitatory inputs vote +4 mV, inhibitory ones −3 mV. The threshold counts the ballots.

  • With no inhibition, find the minimum excitatory votes that make the neuron fire.
  • Add inhibition until it falls silent again — the sum is all that matters.
  • Try the stimulant and sedative: neither touches excitation, they only re-weight the no-votes.
3
1
Membrane potential
-61.0 mV
Decision
stays silent
Drug effect
—

Work it by hand — 0 / 1

No multiple choice here: compute the value and type it. Suffixes like 2.5k or 20m are understood; answers within ±2% count.

1. A neuron rests at −70 mV with a threshold of −55 mV. Each excitatory input adds +3 mV. With no inhibition, how many inputs must arrive together to make it fire?

Check your understanding

1. How does a signal cross the synaptic gap?

2. What decides whether the receiving neuron fires?

3. What is the physical basis of learning and memory?

4. Caffeine blocks receptors for adenosine, an inhibitory signal. Why does that feel stimulating?

5. Why do inhibitory synapses exist at all?