论文信息 - Extended Spiking Neural P Systems with Decaying Spikes and/or Total Spiking

Extended Spiking Neural P Systems with Decaying Spikes and/or Total Spiking

We consider extended variants of spiking neural P systems with decaying spikes (i.e., the spikes have a limited lifetime) and/or total spiking (i.e., the whole contents of a neuron is erased when it spikes). Although we use the extended model of spiking neural P systems, these restrictions of decaying spikes and/or total spiking do not allow for the generation or the acceptance of more than regular sets of natural numbers.

Rudolf Freund | Marion Oswald | Mihai Ionescu

[1] Gheorghe Paun,et al. Regulated Rewriting in Formal Language Theory , 1989 .

[2] Wulfram Gerstner,et al. SPIKING NEURON MODELS Single Neurons , Populations , Plasticity , 2002 .

[3] Christopher J. Bishop,et al. Pulsed Neural Networks , 1998 .

[4] Oscar H. Ibarra,et al. On spiking neural P systems , 2006, Natural Computing.

[5] Oscar H. Ibarra,et al. Normal forms for spiking neural P systems , 2007, Theor. Comput. Sci..

[6] Grzegorz Rozenberg,et al. Handbook of Formal Languages , 1997, Springer Berlin Heidelberg.

[7] Rudolf Freund,et al. Tissue P systems with channel states , 2005, Theor. Comput. Sci..

[8] Wulfram Gerstner,et al. Spiking Neuron Models , 2002 .

[9] Máté Lengyel,et al. Computing with spikes , 2006 .

[10] Artiom Alhazov,et al. Extended Spiking Neural P Systems Generating Strings and Vectors of Non-Negative Integers , 2006 .

[11] Rudolf Freund,et al. On String Languages Generated by Spiking Neural P Systems , 2007, Fundam. Informaticae.

[12] Rudolf Freund,et al. Tissue-like P Systems with Channel-States , 2004 .

[13] Gheorghe Paun,et al. Membrane Computing , 2002, Natural Computing Series.