Temporal constrained objects for modelling neuronal dynamics.

ABSTRACT:

Background

Several new programming languages and technologies have emerged in the past few decades in order to ease the task of modelling complex systems. Modelling the dynamics of complex systems requires various levels of abstractions and reductive measures in representing the underlying behaviour. This also often requires making a trade-off between how realistic a model should be in order to address the scientific questions of interest and the computational tractability of the model.

Methods

In this paper, we propose a novel programming paradigm, called temporal constrained objects, which facilitates a principled approach to modelling complex dynamical systems. Temporal constrained objects are an extension of constrained objects with a focus on the an

SUBMITTER: Nair M 

PROVIDER: S-EPMC7924700 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature