Spiking neural P systems with multiple channels and polarizations
Autor: | Qian Yang, Hong Peng, Liucheng Liu, Xiaoxiao Song, Zeqiong Lv, Jun Wang |
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Rok vydání: | 2019 |
Předmět: |
Statistics and Probability
TheoryofComputation_COMPUTATIONBYABSTRACTDEVICES Computer science Models Neurological Action Potentials Topology Synaptic Transmission General Biochemistry Genetics and Molecular Biology 03 medical and health sciences 0302 clinical medicine Computable function medicine Animals Humans Computer Simulation Regular expression Membrane computing 030304 developmental biology Neurons 0303 health sciences Quantitative Biology::Neurons and Cognition Applied Mathematics General Medicine New variant Universality (dynamical systems) medicine.anatomical_structure Modeling and Simulation Synapses Turing universality Neural Networks Computer Neuron Algorithms 030217 neurology & neurosurgery Communication channel |
Zdroj: | Biosystems. 185:104020 |
ISSN: | 0303-2647 |
Popis: | In this paper, we investigate a new variant of spiking neural P systems (SNP systems, in short), called spiking neural P systems with multiple channels and polarizations (SNP-MCP systems, in short). The variant integrates two interesting features: multiple channel and polarization. Each neuron can use its multiple channels to connect one or more subsequent sets of neurons. Moreover, both polarizations and regular expressions are used in rules to control the spiking of neurons. The computational power of the variant is discussed. The Turing universality of the variant as number generating/accepting devices is proven, and then a small universal system with 150 neurons is constructed to compute any Turing computable function. |
Databáze: | OpenAIRE |
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