On the computational power of neural nets
Journal of Computer and System Sciences
Pulsed neural networks
Journal of Computer and System Sciences
Handbook of Formal Languages
Membrane Computing: An Introduction
Membrane Computing: An Introduction
Spiking Neuron Models: An Introduction
Spiking Neuron Models: An Introduction
Theoretical Computer Science - Natural computing
Theoretical Computer Science
Computation: finite and infinite machines
Computation: finite and infinite machines
Fundamenta Informaticae
The Oxford Handbook of Membrane Computing
The Oxford Handbook of Membrane Computing
Asynchronous extended spiking neural p systems with astrocytes
CMC'11 Proceedings of the 12th international conference on Membrane Computing
Reversible spiking neural P systems
Frontiers of Computer Science: Selected Publications from Chinese Universities
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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.