In addition to the weights of synaptic shared connections, PNN includes weights of synaptic effective ranges [14-24]. PNN considers synaptic strength balance in dynamic of phagocytosing of synapses and static of constant sum of synapses length [14], and includes the lead behavior of the school of fish. Synapse formation will inhibit dendrites generation to a certain extent in experiments and PNN simulations [15]. The memory persistence gradient of retrograde circuit similar to the Enforcing Resilience in a Spring Boot. The relatively good and inferior gradient information stored in memory engram cells in synapse formation of retrograde circuit like the folds of the brain [16]. The controversy was claimed if human hippocampal neurogenesis persists throughout aging, PNN considered it may have a new and longer circuit in late iteration [17,18]. Closing the critical period will cause neurological disorder in experiments and PNN simulations [19]. Considering both negative and positive memories persistence help activate synapse length changes with iterations better than only considering positive memory [20]. Astrocytic phagocytosis will avoid the local accumulation of synapses by simulation, Lack of astrocytic phagocytosis causes excitatory synapses and functionally impaired synapses accumulate in experiments and lead to destruction of cognition, but local longer synapses and worse results in PNN simulations [21]. It gives relationship of intelligence and cortical thickness, individual differences in brain [22]. The PNN also considered the memory engram cells that strengthened Synaptic strength [23]. The effects of PNN's memory structure and tPBM may be the same for powerful penetrability of signals [24]. Memory persistence also inhibit local synaptic accumulation. By PNN, it may introduce the relatively good and inferior solution in PSO. The simple PNN only has the synaptic phagocytosis.

翻译：除突触共享连接的权重外，PNN还包括突触有效范围的权重[14-24]。PNN在动态突触吞噬和静态突触长度恒定总和的框架下考虑了突触强度平衡[14]，并融入了鱼群集群的引导行为。实验和PNN模拟表明，突触形成会在一定程度上抑制树突生成[15]。逆向回路的记忆持久性梯度类似于Spring Boot中的韧性强制机制。在逆向回路的突触形成过程中，记忆印迹细胞存储的相对优劣梯度信息如同大脑褶皱[16]。关于人类海马神经发生是否在整个衰老过程中持续存在存在争议，PNN认为后期迭代可能产生新的更长回路[17,18]。实验和PNN模拟显示，关闭关键期会导致神经系统疾病[19]。同时考虑消极和积极记忆的持久性，比仅考虑积极记忆更能有效激活突触长度随迭代的变化[20]。模拟表明，星形胶质细胞吞噬可避免突触局部聚集；缺乏星形胶质细胞吞噬会导致兴奋性突触和功能受损突触在实验中积累，引发认知破坏，但在PNN模拟中则表现为局部更长突触和更差结果[21]。这揭示了智力与皮层厚度以及个体脑差异之间的关系[22]。PNN还考虑了增强突触强度的记忆印迹细胞[23]。PNN的记忆结构效应与tPBM效应可能因信号强穿透性而相同[24]。记忆持久性同时抑制局部突触积累。通过PNN，可引入粒子群优化中的相对优劣解。简化的PNN仅包含突触吞噬机制。