AP® Psychology · Unit 1 · Topic 1.6
Absolute Threshold and Transduction
Absolute threshold is the stimulus intensity you detect 50 percent of the time, and transduction is the process that converts that physical stimulus into neural signals your brain can interpret.
Every sense organ is a converter. Light hits your retina, sound waves hit your eardrum, molecules drift into your nose, and none of that is a thought yet. Transduction is the step where specialized receptor cells turn that physical energy into electrical signals, action potentials, that travel up sensory neurons to the brain. Rods and cones transduce light, hair cells in the cochlea transduce vibration, olfactory receptors transduce chemicals. Different hardware, same job: convert energy from the world into the one language neurons speak.
Absolute threshold answers a different question: how weak can a stimulus be and still get detected at all? It is defined as the minimum intensity a person can detect 50 percent of the time, not 100 percent. That 50 percent definition is the point. Detection is probabilistic, not a hard line. The same faint tone that you catch on nine of ten silent-room trials might get missed on a night when you are tired, distracted, or straining against background chatter. Your nervous system is noisy, so sensitivity drifts trial to trial and person to person.
This is why a whisper works in a quiet room but vanishes in a noisy one: background noise does not block transduction, it competes with the signal, effectively raising how intense the whisper needs to be before your brain can pull it out of the clutter. This sets up signal detection theory, which asks not just whether a stimulus is strong enough but how a listener's biases and the noise around them shape every yes-or-no detection decision.
Key terms
- Absolute threshold
- The minimum stimulus intensity a person can detect 50 percent of the time.
- Transduction
- The process of converting physical stimulus energy into neural signals the brain can process.
- Detection curve
- A graph showing the percentage of times a stimulus is detected across a range of intensities.
- Signal detection theory
- A framework explaining how detection depends on both stimulus strength and the listener's state and biases amid noise.
Watch it explained
- How it worksHow does a physical stimulus get converted into a neural signal the brain can read?
- Worked exampleFind the absolute threshold from a detection curve where a tone is caught half the time.
- Common mistakeWhy isn't there one fixed loudness below which nobody can hear anything?
- Going furtherWhat changes about detection when a faint signal has to compete with background noise?
Check yourself
End of topic.