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View metadata, citation and similar papers at core.ac.HTTPS://ntrs.nasa.gov/search.jsp? R19790002291 20200322T02:13:04+00:00Z brought to you by CORE provided by NASA Technical Reports ServerSTRUCTURALANALYSIS
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Spiking neural P systems are a class of bio-inspired computing models based on the way neurons communicate through spikes or action potentials.
Scientists and researchers in the field of computational neuroscience and bioinformatics are typically required to work on spiking neural P systems.
Spiking neural P systems are filled out by designing the structure of the system, determining the rules for neuron communication, and simulating the behavior of the system.
The purpose of spiking neural P systems is to model and simulate the behavior of real neural networks in the brain, which can help in understanding brain function and developing new computational paradigms.
Information such as neuron types, connections between neurons, rules for spike generation and propagation, and simulation results must be reported on spiking neural P systems.
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