ArticlePeerJ. Computer science2018
Temporal constrained objects for modelling neuronal dynamics.
Article in PeerJ. Computer science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 authors.
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Abstract
backgroundSeveral 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.
methodsIn this paper, we propose a novel programming paradigm, called
resultsWe identified the feasibility and practicality in automatically mapping different kinds of neuron and synapse models to the constraints of DISCUSSION:
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