Hello everyone.
I have question about making computational neuron models.
What is exact input impedance value or range for simple and full morphology models?
In my experience, input impedance matching was most important in order to change full morphology neuron model to simple neuron model. I think that it is easy method to use same conductance value of each channels.
You know decreasing Rm or Ra reduce input impedance and increasing surface reduce input impedance.
If i cut off many dendrite in someone's full morphology model, it's input impedance will increase.
What is the best way to match input impedance? i.e. increasing diam? decreasing Rm or Ra?
Thanks.
Simple compartment neuron model
Managing anatomically complex model cells with the CellBuilder. Importing morphometric data with NEURON's Import3D tool or Robert Cannon's CVAPP. Where to find detailed morphometric data.
Return to “Anatomically detailed models”
Jump to
- The NEURON Forum
- ↳ Goals and Policies
- ↳ Suggestions and Feedback
- ↳ NEURON Announcements
- NEURON installation and configuration
- ↳ OS X
- ↳ MSWin
- ↳ UNIX/Linux
- NEURON design
- ↳ NEURON + Python
- ↳ Reaction-diffusion in NEURON
- Making and using models with NEURON
- ↳ NEURON hacks
- ↳ Hot tips
- ↳ Getting started
- ↳ The GUI
- ↳ Anatomically detailed models
- ↳ Adding new mechanisms and functions to NEURON
- ↳ Modeling networks
- ↳ Optimization
- ↳ Parallel NEURON
- ↳ Other questions
- Tools of interest to NEURON users
- ↳ HNN: Human Neocortical Neurosolver
- ↳ LFPsim
- ↳ NetPyNE
- ↳ SimAgent
- ↳ SimTracker
- ↳ Other tools
- NEURON in neuroscience education
- ↳ From Computer to Brain
- ↳ Neurons in Action
- ↳ SWIMMY
- ↳ Other ways of using NEURON in neuroscience education
- Data sharing
- ↳ ModelDB and other online sources of models
- ↳ Specific models
- ↳ Policies and procedures
- Computational neuroscience in general
- ↳ General questions and discussions about computational neuroscience
- ↳ Employment and educational opportunities