Spiking Neural P Systems

Wang, J. (2011)

Doctoral Thesis

Spiking neural P systems are a class of distributed and parallel computing models inspired by the neurophysiological behavior of neurons sending electrical impulses (spikes) along axons to other neurons. In this thesis, we consider that the spiking neural P systems are universal even if the systems work in limited asynchronous mode. And we also investigated different variants of spiking neural P systems with other additional features, such as the axon functioning, the growth of dendritic trees in neurons, the positive or negative weights on synapses, and the astrocytes having excitatory and inhibitory influence on synapses.

• Recurrent neural network
• Neural computation
• Membrane computing
• Spiking neural P systems
• Astrocyte

• All authors: Wang, J.
• Supervisor: Kok, J.N.
• Co-supervisor: Hoogeboom, H.J.
• Qualification: Doctor (dr.)
• Awarding Institution: Faculty of Science, Leiden University
• Date: 2011-12-20
• Title of host publication: IPA Dissertation Series
• Name: 2011-25