核心思想
模型持续监测神经元健康度，主动清除功能失调、冗余、损伤的神经元，同时动态补充新神经元。
健康度评估
health(neuron_i) = α × activation_score(i)
+ β × gradient_stability(i)
+ γ × contribution_score(i)
- δ × redundancy_score(i)
# 凋亡条件
should_apoptosis(neuron_i) =
health(i) < threshold_critical # 严重功能失调
OR consecutive_failures(i) > 10 # 连续失败
OR is_redundant(i, other_neurons) # 冗余