brainpy.dyn.channels.IK_DR
brainpy.dyn.channels.IK_DR#
- class brainpy.dyn.channels.IK_DR(size, E=- 90.0, g_max=10.0, T=36.0, T_base=3.0, V_sh=- 50.0, method='exp_auto', name=None)[source]#
The delayed rectifier potassium channel current.
The potassium current model is adopted from (Bazhenov, et, al. 2002) 1. It’s dynamics is given by:
\[\begin{split}\begin{aligned} I_{\mathrm{K}} &= g_{\mathrm{max}} * p^4 \\ \frac{dp}{dt} &= \phi * (\alpha_p (1-p) - \beta_p p) \\ \alpha_{p} &=\frac{0.032\left(V-V_{sh}-15\right)}{1-\exp \left(-\left(V-V_{sh}-15\right) / 5\right)} \\ \beta_p &= 0.5 \exp \left(-\left(V-V_{sh}-10\right) / 40\right) \end{aligned}\end{split}\]where \(\phi\) is a temperature-dependent factor, which is given by \(\phi=3^{\frac{T-36}{10}}\) (\(T\) is the temperature in Celsius).
- Parameters
size (int, sequence of int) – The object size.
g_max (float, JaxArray, ndarray, Initializer, Callable) – The maximal conductance density (\(mS/cm^2\)).
E (float, JaxArray, ndarray, Initializer, Callable) – The reversal potential (mV).
T (float, JaxArray, ndarray, Initializer, Callable) – The temperature (Celsius, \(^{\circ}C\)).
V_sh (float, JaxArray, ndarray, Initializer, Callable) – The shift of the membrane potential to spike.
method (str) – The numerical integration method.
name (str) – The object name.
References
- 1
Bazhenov, Maxim, et al. “Model of thalamocortical slow-wave sleep oscillations and transitions to activated states.” Journal of neuroscience 22.19 (2002): 8691-8704.
- __init__(size, E=- 90.0, g_max=10.0, T=36.0, T_base=3.0, V_sh=- 50.0, method='exp_auto', name=None)[source]#
Methods
__init__
(size[, E, g_max, T, T_base, V_sh, ...])current
(V)derivative
(p, t, V)get_delay_data
(name, delay_step, *indices)Get delay data according to the provided delay steps.
ints
([method])Collect all integrators in this node and the children nodes.
load_states
(filename[, verbose])Load the model states.
nodes
([method, level, include_self])Collect all children nodes.
register_delay
(name, delay_step, delay_target)Register delay variable.
register_implicit_nodes
(nodes)register_implicit_vars
(variables)reset
(V)Reset function which reset the whole variables in the model.
reset_delay
(name, delay_target)Reset the delay variable.
save_states
(filename[, variables])Save the model states.
train_vars
([method, level, include_self])The shortcut for retrieving all trainable variables.
unique_name
([name, type_])Get the unique name for this object.
update
(t, dt, V)The function to specify the updating rule.
update_delay
(name, delay_data)Update the delay according to the delay data.
vars
([method, level, include_self])Collect all variables in this node and the children nodes.
Attributes
global_delay_vars
name
steps