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Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells.

, , , , и . J. Comput. Neurosci., 30 (3): 633-658 (2011)

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NeuroML., , , , и . Encyclopedia of Computational Neuroscience, Springer, (2014)Development of NeuroML version 2.0: greater extensibility, support for abstract neuronal models and interaction with Systems Biology languages, , , и . BMC Neuroscience, 12 (Suppl 1): P29 (июля 2011)Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells., , , , и . J. Comput. Neurosci., 30 (3): 633-658 (2011)Computational Intelligence in Electrophysiology: Trends and Open Problems., , , , , , , , , и 9 other автор(ы). Applications of Computational Intelligence in Biology, том 122 из Studies in Computational Intelligence, Springer, (2008)The Open Source Brain Initiative: enabling collaborative modelling in computational neuroscience, , , , , , , , и . BMC Neuroscience, 13 (Suppl 1): O7 (июля 2012)NeuroMatic: An Integrated Open-Source Software Toolkit for Acquisition, Analysis and Simulation of Electrophysiological Data., и . Frontiers Neuroinformatics, (2018)NeuroML: A Language for Describing Data Driven Models of Neurons and Networks with a High Degree of Biological Detail, , , , , , , , , и 3 other автор(ы). PLoS Comput Biol, 6 (6): e1000815 (июня 2010)libNeuroML and PyLEMS: using Python to combine procedural and declarative modeling approaches in computational neuroscience., , , , , , , и . Frontiers Neuroinformatics, (2014)Glutamate-Bound NMDARs Arising from In Vivo-like Network Activity Extend Spatio-temporal Integration in a L5 Cortical Pyramidal Cell Model., , , , и . PLoS Comput. Biol., (2014)