Xolotl: An Intuitive and Approachable Neuron and Network Simulator for Research and Teaching

Conductance-based models of neurons are used extensively in computational neuroscience. Working with these models can be challenging due to their high dimensionality and large number of parameters. Here, we present a neuron and network simulator built on a novel automatic type system that binds obje...

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Bibliographic Details
Main Authors: Srinivas Gorur-Shandilya, Alec Hoyland, Eve Marder
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-11-01
Series:Frontiers in Neuroinformatics
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fninf.2018.00087/full