NEURON and Python

Cited by papers we hold 8

• Systematic generation of biophysically detailed models for diverse cortical neuron types · 2018
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• Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0 · 2018
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• BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience · 2016
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• Stimfit: quantifying electrophysiological data with Python · 2014
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• LFPy: a tool for biophysical simulation of extracellular potentials generated by detailed model neurons · 2014
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• Nengo: a Python tool for building large-scale functional brain models · 2014
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• Frequency Dependence of Signal Power and Spatial Reach of the Local Field Potential · 2013
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• NeuroML: A Language for Describing Data Driven Models of Neurons and Networks with a High Degree of Biological Detail · 2010
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