Spiking Neural P Systems with Astrocytes
Spiking Neural P Systems with Astrocytes
复制标题
星形胶质细胞尖峰神经 P 系统
DOI：
10.1162/neco_a_00238
复制
发表时间：
2012-03-01
影响因子：
2.9
通讯作者：
Hoogeboom, Hendrik Jan
中科院分区：
文献类型：
--
作者：
Pan, Linqiang;Wang, Jun;Hoogeboom, Hendrik Jan
在生物神经系统中，星形胶质细胞在神经元的功能和相互作用中发挥着重要作用，星形胶质细胞对突触具有兴奋和抑制作用。在这项工作中，受生物学启发，引入了一类由神经元和星形胶质细胞组成的计算设备，称为星形胶质细胞尖峰神经 P 系统（SNPA 系统）。研究了 SNPA 系统的计算能力。事实证明，具有简单神经元的 SNPA 系统（所有神经元都有相同的规则，每个神经元一个，形式非常简单）在生成模式和接受模式上都是图灵通用的。如果计算过程中任何神经元中存在的尖峰数量受到限制，那么 SNPA 系统的计算能力就会减弱。在这种情况下，获得了半线性数集的表征。
In a biological nervous system, astrocytes play an important role in the functioning and interaction of neurons, and astrocytes have excitatory and inhibitory influence on synapses. In this work, with this biological inspiration, a class of computation devices that consist of neurons and astrocytes is introduced, called spiking neural P systems with astrocytes (SNPA systems). The computation power of SNPA systems is investigated. It is proved that SNPA systems with simple neurons (all neurons have the same rule, one per neuron, of a very simple form) are Turing universal in both generative and accepting modes. If a bound is given on the number of spikes present in any neuron along a computation, then the computation power of SNPA systems is diminished. In this case, a characterization of semilinear sets of numbers is obtained.