Models 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.)
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    Models
1. A model for how correlation depends on the neuronal excitability type (Hong et al. 2012)
2. A two-stage model of dendritic integration in CA1 pyramidal neurons (Katz et al. 2009)
3. Axonal Projection and Interneuron Types (Helmstaedter et al. 2008)
4. BDNF morphological contributions to AP enhancement (Galati et al. 2016)
5. Behavioral time scale synaptic plasticity underlies CA1 place fields (Bittner et al. 2017)
6. CA1 pyramidal neuron synaptic integration (Jarsky et al. 2005)
7. CA1 Pyramidal Neuron: Synaptic Scaling (London, Segev 2001)
8. Collection of simulated data from a thalamocortical network model (Glabska, Chintaluri, Wojcik 2017)
9. Composite spiking network/neural field model of Parkinsons (Kerr et al 2013)
10. Current Dipole in Laminar Neocortex (Lee et al. 2013)
11. Dendrites enable a robust mechanism for neuronal stimulus selectivity (Caze et al 2017)
12. Dichotomy of action-potential backpropagation in CA1 pyramidal neuron dendrites (Golding et al 2001)
13. Dipolar extracellular potentials generated by axonal projections (McColgan et al 2017)
14. High entrainment constrains synaptic depression in a globular bushy cell (Rudnicki & Hemmert 2017)
15. High-Res. Recordings Using a Real-Time Computational Model of the Electrode (Brette et al. 2008)
16. Hippocampal CA1 NN with spontaneous theta, gamma: full scale & network clamp (Bezaire et al 2016)
17. Ion channel modeling with whole cell and a genetic algorithm (Gurkiewicz and Korngreen 2007)
18. Layer V pyramidal cell model with reduced morphology (Mäki-Marttunen et al 2017)
19. Modeling conductivity profiles in the deep neocortical pyramidal neuron (Wang K et al. 2013)
20. Principles of Computational Modelling in Neuroscience (Book) (Sterratt et al. 2011)
21. Pyramidal neuron coincidence detection tuned by dendritic branching pattern (Schaefer et al 2003)
22. Self-organized olfactory pattern recognition (Kaplan & Lansner 2014)
23. Sloppy morphological tuning in identified neurons of the crustacean STG (Otopalik et al 2017)
24. Software for teaching neurophysiology of neuronal circuits (Grisham et al. 2008)
25. Software for teaching the Hodgkin-Huxley model (Hernandez & Zurek 2013) (SENB written in NEURON hoc)
26. Spatial summation of excitatory and inhibitory inputs in pyramidal neurons (Hao et al. 2010)
27. The neocortical microcircuit collaboration portal (Markram et al. 2015)
28. Voltage attenuation in CA1 pyramidal neuron dendrites (Golding et al 2005)

Re-display model names with descriptions