CLASS HHclass¶
developed by Steve Van Hooser and Ishaan Khurana, with code from
_An Introductory Course in Computational Neuroscience_ by Paul Miller
Superclasses¶
Properties¶
| Property | Description |
|---|---|
| E_Na | |
| V_threshold | |
| spiketimes | |
| spikesamples | |
| E_K | |
| G_L | |
| G_Na | |
| G_K | |
| Na_Inactivation_Enable | |
| TTX | |
| TEA | |
| Cm | |
| Rm | |
| E_leak | |
| dt | |
| t_start | |
| t_end | |
| f | |
| samplenumber_current | |
| update_method | |
| S | |
| I | |
| t | |
| command | |
| step1_time | |
| step2_time | |
| step1_value | |
| step2_value | |
| involtageclamp | |
| V_initial |
Methods¶
| Method | Description |
|---|---|
| HHclass | developed by Steve Van Hooser and Ishaan Khurana, with code from |
| dsdt | HHclass/dsdt is a function. |
| hvar | HHclass/hvar is a function. |
| mvar | HHclass/mvar is a function. |
| nvar | HHclass/nvar is a function. |
| setup_command | HHclass/setup_command is a function. |
| simulate | perform a simulation |
| statemodifier | nothing to do in base class |
| voltage | HHclass/voltage is a function. |
Methods help¶
HHclass - developed by Steve Van Hooser and Ishaan Khurana, with code from
_An Introductory Course in Computational Neuroscience_ by Paul Miller
Documentation for HHclass/HHclass
doc HHclass
dsdt - HHclass/dsdt is a function.
[dsdt, Itot] = dsdt(HHobj, S_value)
hvar - HHclass/hvar is a function.
h = hvar(HHobj)
mvar - HHclass/mvar is a function.
m = mvar(HHobj)
nvar - HHclass/nvar is a function.
n = nvar(HHobj)
setup_command - HHclass/setup_command is a function.
neuronmodel_obj = setup_command(neuronmodel_obj, varargin)
simulate - perform a simulation
Help for HHclass/simulate is inherited from superclass neuronmodelclass
statemodifier - nothing to do in base class
Help for HHclass/statemodifier is inherited from superclass neuronmodelclass
voltage - HHclass/voltage is a function.
V = voltage(HHobj)