Spike-Timing Dependent Plasticity

Hebbian learning rule: synaptic weight changes driven by relative spike timing

A+ (LTP amplitude) 0.20
A− (LTD amplitude) 0.21
τ+ (ms) 20 ms
τ− (ms) 20 ms
0.50
Avg Weight
0
LTP events
0
LTD events
Δt last pair (ms)

About

Spike-timing dependent plasticity (STDP) is a biological learning rule discovered by Markram et al. (1997) and Bi & Poo (1998): if a presynaptic neuron fires just before a postsynaptic neuron (Δt > 0), the synapse is strengthened (long-term potentiation, LTP). If the order is reversed (Δt < 0), the synapse is weakened (long-term depression, LTD). The weight change follows ΔW = A+ · exp(-Δt/τ+) for LTP and ΔW = -A- · exp(Δt/τ-) for LTD. This asymmetric Hebbian rule allows neurons to learn causal temporal relationships and underlies sequence learning and memory formation.