LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2-Reference-Cited by-同舟云学术

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LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2

Published:2014-09-25 Issue: Volume:8 Page:
ISSN:1662-5196
Container-title:Frontiers in Neuroinformatics
language:
Short-container-title:Front. Neuroinform.

Author:

Cannon Robert C.,Gleeson Padraig,Crook Sharon,Ganapathy Gautham,Marin Boris,Piasini Eugenio,Silver R. Angus

Publisher

Frontiers Media SA

Subject

Computer Science Applications,Biomedical Engineering,Neuroscience (miscellaneous)

Reference27 articles.

1. Quantitative assessment of CA1 local circuits: knowledge base for interneuron-pyramidal cell connectivity;Bezaire;Hippocampus,2013

2. Network structure within the cerebellar input layer enables lossless sparse encoding;Billings;Neuron,2014

3. Adaptive exponential integrate-and-fire model as an effective description of neuronal activity;Brette;J. Neurophysiol,2005

4. Simulating spiking neural networks on GPU;Brette;Netw. Comput. Neural Syst,2012

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