Spiking Neural P Systems

Leiden Repository

Spiking Neural P Systems

Title: Spiking Neural P Systems
Author: Wang, Jun
Publisher: Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University
Issue Date: 2011-12-20
Keywords: Astrocyte
Membrane computing
Neural computation
Recurrent neural network
Spiking neural P systems
Abstract: 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.
Description: Promotor: J.N. Kok, Co-promotor: H.J. Hoogeboom
With summary in Dutch
Faculty: Faculteit der Wiskunde en Natuurwetenschappen
Citation: Wang, J., 2011, Doctoral thesis, Leiden University
Series/Report no.: IPA Dissertation Series;2011-25
Sponsor: IPA (Institute for Programming research and Algorithmics)
Handle: http://hdl.handle.net/1887/18261
 

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