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Automatic Identification of Dendritic Branches and their Orientation

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

Dendrite P Systems Toolbox: Representation, Algorithms and Simulators.

David Orellana-Martín¹, Miguel Á Martínez-Del-Amor¹, Luis Valencia-Cabrera¹

¹Research Group on Natural Computing, Department of Computer Science and Artificial Intelligence, Universidad de Sevilla, Avenida Reina Mercedes s/n, 41012 Sevilla, Spain.

International Journal of Neural Systems

|November 17, 2020

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This paper introduces the first software simulator for Dendrite P systems (DeP systems), a novel neural-like computing model. The simulator aids in understanding DeP system syntax and semantics, offering an alternative to spiking neural P systems.

Area of Science:

* Computational Neuroscience
* Theoretical Computer Science
* Artificial Intelligence

Background:

* Dendrite P systems (DeP systems) are a recent neural-like computational model.
* They offer an alternative to traditional spiking neural (SN) P systems.
* Existing P system simulators do not support DeP systems.

Purpose of the Study:

* To present the first software simulator for DeP systems.
* To investigate the syntax and semantics representation of DeP systems.
* To compare DeP system simulation with SN P system simulation.

Main Methods:

* Conceptual design of a simulation algorithm for DeP systems.
* Implementation of a novel DeP system simulator within the P-Lingua framework.

Keywords:

Dendrite P systems MeCoSim P-Lingua simulation spiking neural P systems

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* Extension of the MeCoSim GUI tool to support DeP systems.

* Experimental validation of the developed simulator.

Main Results:

* A functional software simulator for DeP systems has been developed.
* Key features of DeP system syntax and semantics representation are investigated.
* Differences and potential parallelizable aspects compared to SN P system simulators are identified.
* The simulator has been experimentally validated.

Conclusions:

* The developed simulator provides a valuable tool for DeP system research.
* This work facilitates a deeper understanding of DeP system computation.
* The simulator enables further exploration and application of DeP systems.