Circuits that contain the Modeling Application : NEURON (web link to model) (Home Page)

(NEURON is a simulation environment for developing and exercising models of neurons and networks of neurons. It is particularly well-suited to problems where cable properties of cells play an important role, possibly including extracellular potential close to the membrane), and where cell membrane properties are complex, involving many ion-specific channels, ion accumulation, and second messengers. It evolved from a long collaboration between Michael Hines and John W. Moore at the Department of Neurobiology, Duke University. Their express goal was to create a tool designed specifically for solving the equations that describe nerve cells.)
Re-display model names with descriptions
    Models
1. Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017)
2. Composite spiking network/neural field model of Parkinsons (Kerr et al 2013)
3. Current Dipole in Laminar Neocortex (Lee et al. 2013)
4. Hippocampal CA1 NN with spontaneous theta, gamma: full scale & network clamp (Bezaire et al 2016)
5. LFP signature of monosynaptic thalamocortical connection (Hagen et al 2017)
6. Principles of Computational Modelling in Neuroscience (Book) (Sterratt et al. 2011)
7. Self-organized olfactory pattern recognition (Kaplan & Lansner 2014)
8. Software for teaching neurophysiology of neuronal circuits (Grisham et al. 2008)
9. The neocortical microcircuit collaboration portal (Markram et al. 2015)
10. Visual physiology of the layer 4 cortical circuit in silico (Arkhipov et al 2018)

Re-display model names with descriptions