Biology · Glossary

What is Hebbian plasticity, LTP and LTD?

Definition 19.2 University Biology — Year 3 · Chapter 19 — Neural Plasticity, Learning and Memory

Hebb (1949) proposed that when a presynaptic neuron repeatedly takes part in firing a postsynaptic one, the connection between them is strengthened — “cells that fire together wire together”. Long-term potentiation (LTP) is its experimental form: a brief burst of high-frequency stimulation of a pathway leaves the synapses it activated stronger for hours in a slice and for weeks in an animal. LTP is input-specific (only the stimulated synapses change), associative (a weak input paired with a strong one to the same cell is potentiated) and needs cooperativity among inputs to depolarise the cell. Long-term depression (LTD) is its opposite, produced by prolonged low-frequency activity. In spike-timing-dependent plasticity the sign is set by order: a presynaptic spike a few milliseconds before the postsynaptic one strengthens the synapse, one just after weakens it, within a window of about 20ms20\,\mathrm{ms} on either side — so that a synapse learns to predict, not merely to correlate.

Examples

Example 19.5 (Two inputs)

A neuron receives two inputs that are usually active together, so C=(10.80.81)C = \begin{pmatrix} 1 & 0.8 \\ 0.8 & 1\end{pmatrix}. The eigenvectors are (1,1)/2(1,1)/\sqrt{2} with eigenvalue 1.81.8 and (1,1)/2(1,-1)/\sqrt{2} with eigenvalue 0.20.2. Starting from w=(1,0)\mathbf{w} = (1, 0), Hebb’s rule after many small steps turns w\mathbf{w} toward (1,1)(1,1): the neuron learns to respond to the two inputs together, and to ignore the rare occasions on which only one fires — it has extracted the correlation. With Oja’s rule the weights settle at (0.71,0.71)(0.71, 0.71). This is the sense in which Hebbian synapses learn what goes together, and it is why the associative property of LTP, pairing a weak input with a strong one, follows from the rule.

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