Key Laboratory of Image Processing and Intelligent Control, Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
Neural Comput. 2012 Mar;24(3):805-25. doi: 10.1162/NECO_a_00238. Epub 2011 Nov 17.
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.
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起着重要作用,并且星形胶质细胞对突触有兴奋和抑制作用。在这项工作中,受此生物学启发,引入了一类由神经元和星形胶质细胞组成的计算设备,称为具有星形胶质细胞的尖峰神经网络系统 (SNPA 系统)。研究了 SNPA 系统的计算能力。证明了具有简单神经元的 SNPA 系统 (所有神经元都具有相同的规则,每个神经元一个,形式非常简单) 在生成和接受模式下都是图灵通用的。如果在计算过程中对任何神经元中存在的尖峰数量施加限制,则 SNPA 系统的计算能力将会降低。在这种情况下,得到了数字半线性集的特征。