SPIKE TIMING-DEPENDENT PLASTICITY

Hebbian learning with temporal asymmetry — LTP/LTD windows, weight evolution, BCM comparison
STDP Rule:
pre→post (Δt>0): LTP
Δw = A+ · e^(-Δt/τ+)

post→pre (Δt<0): LTD
Δw = -A- · e^(Δt/τ-)

Current weight w:
0.50

Total LTP: 0
Total LTD: 0

A-/A+ ratio determines
whether weights potentiate
or depress at equal rates.