Temporal constrained objects for modelling neuronal dynamics

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...

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Veröffentlicht in:	PeerJ. Computer science Jg. 4; S. e159
Hauptverfasser:	Nair, Manjusha, Manchan Kannimoola, Jinesh, Jayaraman, Bharat, Nair, Bipin, Diwakar, Shyam
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States PeerJ, Inc 23.07.2018 PeerJ Inc
Schlagworte:	Brain Complex systems Computation Computational Biology Computer science Computer simulation Constraint modelling Constraint programming Declarative modelling Microprocessors Neural networks Neuron models Neurons Neurosciences Object-oriented languages Ordinary differential equations Parallel computers Partial differential equations Programming Languages Scientific Computing and Simulation Synapses Temporal constrained objects United States > US India Object-oriented languages Declarative modelling Neuron models Constraint programming Temporal constrained objects
ISSN:	2376-5992, 2376-5992
Online-Zugang:	Volltext
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