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Spiking neural P systems with scheduled synapses

Francis George C Cabarle and Henry N Adorna and Min Jiang and Xiangxiang Zeng

IEEE TNB 2017 · published

Links pending

Contribution

Adds scheduled synapses to spiking neural P systems, giving them explicit timing control.

Abstract

Spiking neural P systems are a class of neural-like membrane computing models inspired by the way biological neurons communicate via discrete electrical pulses along synapses. This paper extends the model with scheduled synapses, in which the timing of spike transmission along each synapse is governed by an explicit schedule rather than being immediate. The resulting system gains a primitive form of programmable temporal control, expanding the computational expressiveness and broadening the range of problems — from combinatorial optimization to biological modeling — that the framework can address.

Why This Paper Matters

Useful as a clean introduction to spiking neural P systems for newcomers and as a standard reference when citing the scheduled-synapses extension in membrane-computing research.

BibTeX

@article{cabarle2017spiking,
  title={Spiking neural P systems with scheduled synapses},
  author={Cabarle, Francis George C and Adorna, Henry N and Jiang, Min and Zeng, Xiangxiang},
  journal={IEEE Transactions on Nanobioscience},
  volume={16},
  number={8},
  pages={792--801},
  year={2017},
  publisher={IEEE},
}